From cc3048de0db7ef218c630d2c5e7272d6de4bca31 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 5 Jul 2023 10:24:55 +0200
Subject: [PATCH 01/50] Add files to script and tar to filelists to create 2022
 jobs

---
 .../filelists/May0223_2022_filelists.tgz      |  Bin 0 -> 2048000 bytes
 .../scripts/config_2022_postEE.json           | 1140 +++++++++++++++++
 .../scripts/config_2022_preEE.json            | 1140 +++++++++++++++++
 .../scripts/htt_2022_postEE.py                |  434 +++++++
 .../HiggsTauTauRun2/scripts/htt_2022_preEE.py |  434 +++++++
 5 files changed, 3148 insertions(+)
 create mode 100644 Analysis/HiggsTauTauRun2/filelists/May0223_2022_filelists.tgz
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
 create mode 100755 Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
 create mode 100755 Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py

diff --git a/Analysis/HiggsTauTauRun2/filelists/May0223_2022_filelists.tgz b/Analysis/HiggsTauTauRun2/filelists/May0223_2022_filelists.tgz
new file mode 100644
index 0000000000000000000000000000000000000000..9f2c1433887b381674b17ab9c922af5a056804be
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diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
new file mode 100644
index 000000000..7f382cf7e
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
@@ -0,0 +1,1140 @@
+{
+  "job": {
+    "filelist" : "filelists/Mar31_2018_MC_124X_DYJetsToLL.dat",
+    "file_prefix" : "root://gfe02.grid.hep.ph.ic.ac.uk:1097/store/user/irandreo/May0223_Data_124X_2022-postEE/",
+    "max_events":   -1,
+    "timings":      true,
+   //"channels":     ["mt","et","tt","zmm","zee","em"],
+   // "channels":     ["mt","zmm","tt","et"],
+    "channels":     ["tt"],
+//   "channels":     ["tt","mt","et","em","zmm","zee"],
+    "sequences": {
+      "all":  ["default"]
+//,"scale_met_high,""scale_met_lo","res_met_high","res_met_lo"]
+//      "et":   ["scale_t_lo", "scale_t_hi"],
+//      "mt":   ["scale_t_lo", "scale_t_hi"],
+ //     "tt":   ["scale_t_lo", "scale_t_hi"],
+  //    "em":   ["scale_e_lo", "scale_e_hi"]
+    },
+    "output_postfix":"",
+    "sample": "VBF_HToTauTau_M-125"
+  },
+  "sequence": {
+    // "do_mssm_higgspt" : true,
+    // "mssm_higgspt_file" : "/vols/build/cms/gu18/CMSSW_8_0_25/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTau2/input/mssm_higgspt/higgs_pt_v2_mssm_mode.root",
+    "usePFMET" : true,
+    "do_gen_analysis" : false,
+    "mc"            : "mc2018",
+    "era"           : "data_2022_postEE",
+    "strategy"      : "cpdecays18",
+    "is_data"       : false,
+    "is_embedded"   : false,
+    "save_output_jsons": false,
+    "make_sync_ntuple" : false,
+    "do_jetmet_uncerts": false,
+    "lumi_mask_only" : false,
+    "iso_study" : false,
+    "qcd_study" : false,
+    "tau_id_study":true,
+    "add_Hhh_variables" : false,
+    "get_effective" : false,
+    "do_btag_eff": false,
+    "trg_in_mc" : true,
+    "do_vbftrg" : false,
+    "filter_trg" : false,
+    "do_leptonplustau" : false,
+    "do_singlelepton" :true,
+    "do_singletau"    : true,
+    "store_trigobjpt" :true,
+    "tt_trg_iso_mode" : 0,
+    "moriond_tau_scale" : true,
+    "recoil_corrector" : false,
+    "do_preselection" : true,
+    "force_old_effs" : false,
+    "electrons"     : "electrons",
+    "muons"         : "muons",
+    "taus"          : "taus",
+    "jets"          : "ak4PFJetsCHS",
+    "met"           : "pfMET",
+    "genTaus"       : "genParticles",
+    "genJets"       : "genJets",
+    "do_mt_tagandprobe"    : false,
+    "do_recoil"            : false,
+    "do_iso_eff"    : false,
+    "do_tau_eff"    : false,
+    "do_ff_weights" : false,
+    "do_ff_systematics": false,
+    "do_pdf_wts": false,
+    "do_qcd_scale_wts": false,
+    //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
+    "output_folder" : "/eos/user/e/ebokor/output",
+    "svfit_from_grid" : true,
+    "read_all_svfit_files" : true,
+    "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
+    "svfit_override" : "",
+    "mela_folder" : "/vols/cms/dw515/Offline/output/SM/Jun22_MELA/",
+    "mela_mode" : 0,
+    "njets_mode" : 0,
+    //"event_check_file":"checkfile.dat",
+    "pu_id_training": 4,
+    "bjet_regr_correction" : false,
+    "new_svfit_mode" : 0,
+    "kinfit_mode"   : 0,
+    "mva_met_mode"  : 0,
+    "do_met_filters" : 1,
+    "faked_tau_selector" : 0,
+    "hadronic_tau_selector" : 0,
+    "run_gen_info"  : false,
+    "do_pu_wt"      : true,
+    "data_pu_file"  : "input/pileup/2018UL/PileupHistogram-goldenJSON-13tev-2018-69200ub-99bins.root",
+    "mc_pu_file"    : "input/pileup/2018UL/pileup_2018_DYJetsToLL-LO.root",
+    "run_trg_filter": false,
+    "baseline": {
+      "tau_scale_mode"    : true,
+      "jes_mode"          : 0,
+      "jer_mode"          : 0,
+      "btag_mode"         : 0,
+      "do_reshape"        : false,
+      "use_deep_csv"      : false,
+      "use_deep_jet"      : true,
+      "wp_to_check"       : "loose",
+      "bfake_mode"        : 0,
+      "tau_es_shift"      : 1.0,
+      "muon_es_shift"      : 1.0,
+      "efaketau_0pi_es_shift": 1.01362,
+      "efaketau_0pi_es_shift_endcap": 0.96903,
+      "efaketau_1pi_es_shift": 1.01945,
+      "efaketau_1pi_es_shift_endcap": 0.985,
+      "mufaketau_0pi_es_shift": 1.0,
+      "mufaketau_1pi_es_shift": 1.0,
+      "tau_1prong0pi0_es_shift": 0.991,
+      "tau_1prong1pi0_es_shift": 1.004,
+      "tau_3prong0pi0_es_shift": 0.998,
+      "tau_3prong1pi0_es_shift": 1.004,
+      "embedtau_1prong1pi0_es_shift": 0.9943, 
+      "embedtau_1prong0pi0_es_shift": 0.9967,
+      "embedtau_3prong0pi0_es_shift": 0.9926,
+      "embedtau_3prong1pi0_es_shift": 0.9926,
+      "elec_es_shift"     : 1.0,
+      "elec_es_shift_barrel": 0.9967,
+      "elec_es_shift_endcap": 0.9944,
+      "muon_res_shift": 0.0,
+      "elec_res_shift": 0.0,
+      "tau_res_shift": 0.0,
+      "fakeJ_tau_shift": 1.0,
+      "metscale_mode"     : 0,
+      "metres_mode"       : 0,
+      "metcl_mode"        : 0,
+      "metuncl_mode"      : 0,
+      "mass_shift"        : 1.0,
+      "do_em_extras"      : true,
+      "di_elec_veto"      : false,
+      "extra_elec_veto"   : false,
+      "max_extra_elecs"   : 1,
+      "di_muon_veto"      : false,
+      "extra_muon_veto"   : false,
+      "max_extra_muons"   : 1,
+      "tau_es_corr"       : false,
+      "lep_iso"           : true,
+      "do_tau_anti_elec"  : false,
+      "tau_anti_elec"     : "",
+      "do_tau_anti_muon"  : false,
+      "tau_anti_muon"     : "",
+      "elec_id"           : "CutBased" 
+    }
+  },
+  "channels": {
+    "et": {
+      "baseline": {
+        "pair_dr": 0.5,
+        "di_elec_veto"   :true,
+        "di_muon_veto"   :true,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 1,
+        "max_extra_muons": 0,
+        "do_tau_anti_muon": true,
+        "do_tau_anti_elec":true,
+        "do_ff_weights" : true, 
+        "do_ff_systematics": true,
+        "ff_categories" :"inclusive",
+        "ff_file" : "input/fake_factors/fakefactors_ws_et_lite_2018.root",
+        "ff_fracs_file" : ""
+          }
+    },
+ "tt": {
+      "baseline": {
+        "max_extra_elecs": 0,
+        "max_extra_muons": 0,
+        "di_muon_veto"   :true,
+        "di_elec_veto"   :true,
+        "extra_elec_veto" : true,
+        "extra_muon_veto" : true,
+        "do_tau_anti_muon": true,
+        "do_tau_anti_elec":true,
+        "do_ff_weights" : true,
+        "do_ff_systematics": true,
+        "ff_categories" :"inclusive",
+        "ff_file" : "input/fake_factors/fakefactors_ws_tt_lite_2018.root",
+        "ff_fracs_file" : ""
+      }
+    },
+
+    "mt": {
+      "baseline": {
+        "pair_dr": 0.5,
+        "di_muon_veto"   :true,
+        "di_elec_veto"   :true,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 0,
+        "max_extra_muons": 1,
+        "do_tau_anti_muon": true,
+        "do_tau_anti_elec":true,
+        "do_ff_weights" : true,
+        "do_ff_systematics": true,
+        "ff_categories" :"inclusive",
+        "ff_file" : "input/fake_factors/fakefactors_ws_mt_lite_2018.root",
+        "ff_fracs_file" : ""
+      }
+    },
+    "em": {
+      "baseline": {
+        "pair_dr": 0.3,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 1,
+        "max_extra_muons": 1
+      }
+    },
+    "zmm": {
+      "baseline": {
+        "pair_dr": 0.3,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 0,
+        "max_extra_muons": 2
+      }
+    },
+    "zee": {
+      "baseline": {
+        "pair_dr": 0.5,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 2,
+        "max_extra_muons": 0
+      }
+    }
+  },
+  "sequences": {
+    "scale_t_lo": {
+      "baseline": {
+        "addit_output_folder" : "TSCALE_DOWN",
+        "tau_scale_mode": true,
+        "elec_es_shift_barrel": 0.99,
+        "elec_es_shift_endcap": 0.975,
+        "tau_es_shift": 0.97,
+        "muon_es_shift": 0.998
+      }
+    },
+    "scale_t_hi": {
+      "baseline": {
+        "addit_output_folder" : "TSCALE_UP",
+        "tau_scale_mode": true,
+        "elec_es_shift_barrel": 1.01,
+        "elec_es_shift_endcap": 1.025,
+        "tau_es_shift": 1.03,
+        "muon_es_shift": 1.002
+      }
+    },
+    "scale_jfake_lo": {
+      "baseline": {
+        "addit_output_folder" : "JFAKE_DOWN",
+        "fakeJ_tau_shift": 0.97
+      }
+    },
+    "scale_jfake_hi": {
+      "baseline": {
+        "addit_output_folder": "JFAKE_UP",
+        "fakeJ_tau_shift": 1.03
+      }
+    },
+    "scale_t_0pi_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE0PI_UP",
+         "tau_shift_func_1prong0pi0": "0.991 + (0.0080 + (0.0300-0.0080)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong0pi0_es_shift": 1.0006
+      }
+    },
+    "scale_t_0pi_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE0PI_DOWN",
+         "tau_shift_func_1prong0pi0": "0.991 - (0.0080 + (0.0300-0.0080)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong0pi0_es_shift": 0.9928
+      }
+    },
+    "scale_t_1pi_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE1PI_UP",
+         "tau_shift_func_1prong1pi0": "1.004 + (0.0060 + (0.0200-0.0060)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong1pi0_es_shift" : 0.998
+      }
+    },
+    "scale_t_1pi_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE1PI_DOWN",
+         "tau_shift_func_1prong1pi0": "1.004 - (0.0060 + (0.0200-0.0060)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong1pi0_es_shift" : 0.9912
+      }
+    },
+    "scale_t_3prong_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG_UP",
+         "tau_shift_func_3prong0pi0": "0.998 + (0.0070 + (0.0110-0.0070)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong0pi0_es_shift" : 0.9958
+      }
+    },
+    "scale_t_3prong_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG_DOWN",
+         "tau_shift_func_3prong0pi0": "0.998 - (0.0070 + (0.0110-0.0070)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong0pi0_es_shift" : 0.9894
+      }
+    },
+    "scale_t_3prong1pi0_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG1PI0_UP",
+         "tau_shift_func_3prong1pi0": "1.004 + (0.009 + (0.0390-0.009)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong1pi0_es_shift" : 0.9948
+      }
+    },
+    "scale_t_3prong1pi0_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG1PI0_DOWN",
+         "tau_shift_func_3prong1pi0": "1.004 - (0.009 + (0.0390-0.009)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong1pi0_es_shift" : 0.985
+      }
+    },
+    "scale_efake_0pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE0PI_DOWN",
+        "efaketau_0pi_es_shift": 1.00888,
+        "efaketau_0pi_es_shift_endcap": 0.95653
+      }
+    },
+    "scale_efake_0pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE0PI_UP",
+        "efaketau_0pi_es_shift": 1.02266,
+        "efaketau_0pi_es_shift_endcap": 1.00307
+      }
+    },
+    "scale_efake_1pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE1PI_DOWN",
+        "efaketau_1pi_es_shift": 1.00347,
+        "efaketau_1pi_es_shift_endcap": 0.94191
+      }
+    },
+    "scale_efake_1pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE1PI_UP",
+        "efaketau_1pi_es_shift": 1.03171,
+        "efaketau_1pi_es_shift_endcap": 1.03999
+      }
+    },
+
+    "scale_mufake_0pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE0PI_DOWN",
+        "mufaketau_0pi_es_shift": 0.99
+      }
+    },
+    "scale_mufake_0pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE0PI_UP",
+        "mufaketau_0pi_es_shift": 1.01
+      }
+    },
+    "scale_mufake_1pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE1PI_DOWN",
+        "mufaketau_1pi_es_shift": 0.99
+      }
+    },
+    "scale_mufake_1pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE1PI_UP",
+        "mufaketau_1pi_es_shift": 1.01
+      }
+    },
+    "scale_e_lo": {
+      "baseline": {
+        "addit_output_folder" : "ESCALE_DOWN",
+        "e_scale_mode": true,
+        "elec_es_shift_barrel": 0.9917,
+        "elec_es_shift_endcap": 0.9819,
+        "e_unc_mode": 1
+      }
+    },
+    "scale_e_hi": {
+      "baseline": {
+        "addit_output_folder" : "ESCALE_UP",
+        "e_scale_mode": true,
+        "elec_es_shift_barrel": 1.0017,
+        "elec_es_shift_endcap": 1.0069,
+        "e_unc_mode": 2
+      }
+    },
+    "scale_mu_lo": {
+      "baseline": {
+        "addit_output_folder" : "MUSCALE_DOWN",
+        "mu_scale_mode": true,
+        //"muon_es_shift": 0.998,
+        //"muon_es_shift_barrel": 0.996,
+        //"muon_es_shift_nearendcap": 0.991,
+        //"muon_es_shift_farendcap": 0.983
+        "muon_es_shift": 0.9985,
+        "muon_es_shift_barrel": 0.9985,
+        "muon_es_shift_nearendcap": 0.9985,
+        "muon_es_shift_farendcap": 0.9985
+      }
+    },
+    "scale_mu_hi": {
+      "baseline": {
+        "addit_output_folder" : "MUSCALE_UP",
+        "mu_scale_mode": true,
+        //"muon_es_shift": 1.002,
+        //"muon_es_shift_barrel": 1.004,
+        //"muon_es_shift_nearendcap": 1.009,
+        //"muon_es_shift_farendcap": 1.017
+        "muon_es_shift": 1.0015,
+        "muon_es_shift_barrel": 1.0015,
+        "muon_es_shift_nearendcap": 1.0015,
+        "muon_es_shift_farendcap": 1.0015
+      }
+    },
+    "res_mu_hi": {
+      "baseline": {
+        "addit_output_folder" : "MURES_UP",
+        "muon_res_shift": 0.1
+      }
+    },
+    "res_mu_lo": {
+      "baseline": {
+        "addit_output_folder" : "MURES_DOWN",
+        "muon_res_shift": -0.1
+      }
+    },
+    "res_e_hi": {
+      "baseline": {
+        "addit_output_folder" : "ERES_UP",
+        "elec_res_shift": 0.1
+      }
+    },
+    "res_e_lo": {
+      "baseline": {
+        "addit_output_folder" : "ERES_DOWN",
+        "elec_res_shift": -0.1
+      }
+    },
+    "res_t_hi": {
+      "baseline": {
+        "addit_output_folder" : "TRES_UP",
+        "tau_res_shift": 0.01
+      } 
+    },  
+    "res_t_lo": {
+      "baseline": {
+        "addit_output_folder" : "TRES_DOWN",
+        "tau_res_shift": -0.01
+      }
+    },
+    "res_j_lo": {
+      "baseline": {
+        "addit_output_folder" : "JER_DOWN",
+        "jes_mode" : 1
+      }
+    },
+    "res_j_hi": {
+      "baseline": {
+        "addit_output_folder" : "JER_UP",
+        "jer_mode" : 2
+      }
+    },
+    "scale_j_lo": {
+      "baseline": {
+        "addit_output_folder" : "JES_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false
+//        "btag_mode" : 3
+      }
+    },
+    "scale_j_hi": {
+      "baseline": {
+        "addit_output_folder" : "JES_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false
+//        "btag_mode" : 4
+      }
+    },
+    "scale_j_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JES_CORR_DOWN",
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JES_CORR_UP",
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JES_UNCORR_DOWN",
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JES_UNCORR_UP",
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    // adding regrouped JECs (legacy/full run2 -- https://tinyurl.com/r976rmc)
+    "scale_j_relbal_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESRBAL_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeBal"
+      }
+    },
+    "scale_j_relbal_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESRBAL_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeBal"
+      }
+    },
+    "scale_j_abs_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute"
+      }
+    },
+    "scale_j_abs_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute"
+      }
+    },
+    "scale_j_abs_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute_2018"
+      }
+    },
+    "scale_j_abs_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute_2018"
+      }
+    },
+    "scale_j_flav_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESFLAV_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "FlavorQCD"
+      }
+    },
+    "scale_j_flav_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESFLAV_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "FlavorQCD"
+      }
+    },
+    "scale_j_bbec1_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1"
+      }
+    },
+    "scale_j_bbec1_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1"
+      }
+    },
+    "scale_j_bbec1_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1_2018"
+      }
+    },
+    "scale_j_bbec1_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1_2018"
+      }
+    },
+    "scale_j_ec2_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2"
+      }
+    },
+    "scale_j_ec2_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2"
+      }
+    },
+    "scale_j_ec2_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2_2018"
+      }
+    },
+    "scale_j_ec2_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2_2018"
+      }
+    },
+    "scale_j_hf_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "HF"
+      }
+    },
+    "scale_j_hf_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "HF"
+      }
+    },
+    "scale_j_hf_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "HF_2018"
+      }
+    },
+    "scale_j_hf_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "HF_2018"
+      }
+    },
+    "scale_j_relsamp_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESRELSAMP_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeSample_2018"
+      }
+    },
+    "scale_j_relsamp_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESRELSAMP_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeSample_2018"
+      }
+    },
+    //
+    "scale_j_full_lo": {
+        "baseline": {
+          "addit_output_folder" : "JESFULL_DOWN",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 0,
+          "jes_mode" : 1
+        }
+      },
+    "scale_j_full_hi": {
+        "baseline": {
+          "addit_output_folder" : "JESFULL_UP",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 0,
+          "jes_mode" : 2
+        }
+      },
+      // adding correlations splitting for regional sources
+      // jes full detector
+    "scale_j_full_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_CORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_full_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_CORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_full_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_UNCORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_full_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_UNCORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    //
+    "scale_j_cent_lo": {
+        "baseline": {
+          "addit_output_folder" : "JESCENT_DOWN",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 1,
+          "jes_mode" : 1
+       }
+      },
+      "scale_j_cent_hi": {
+        "baseline": {
+          "addit_output_folder" : "JESCENT_UP",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 1,
+          "jes_mode" : 2
+        }
+      },      
+      // adding correlations splitting for regional sources
+      // jes central detector
+    "scale_j_cent_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_CORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_cent_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_CORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_cent_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_UNCORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_cent_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_UNCORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    //
+    //"scale_j_hf_lo": {
+    //    "baseline": {
+    //      "addit_output_folder" : "JESHF_DOWN",
+    //      "split_by_source" : false,
+    //      "split_by_region" : true,
+    //      "jec_region" : 2,
+    //      "jes_mode" : 1
+    //   }
+    // },
+    //  "scale_j_hf_hi": {
+    //    "baseline": {
+    //      "addit_output_folder" : "JESHF_UP",
+    //      "split_by_source" : false,
+    //      "split_by_region" : true,
+    //      "jec_region" : 2,
+    //      "jes_mode" : 2
+    //    }
+    //  },
+      // adding correlations splitting for regional sources
+      // jes HF detector
+    "scale_j_hf_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_CORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_hf_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_CORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_hf_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_UNCORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_hf_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_UNCORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    "scale_embed_met_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_DOWN",
+        "embed_metscale_mode" : 1
+      }
+    },
+    "scale_embed_met_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_UP",
+        "embed_metscale_mode" : 2
+      }
+    },
+    "scale_met_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_DOWN",
+        "metscale_mode" : 1
+      }
+    },
+    "scale_met_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_UP",
+        "metscale_mode" : 2
+      }
+    },
+    "res_met_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_DOWN",
+        "metres_mode" : 1
+      }
+    },
+    "res_met_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_UP",
+        "metres_mode" : 2
+      }
+    },
+    
+    "scale_met_njets0_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS0_DOWN",
+        "metscale_mode" : 1,
+        "njets_mode" : 1
+      }
+    },
+    "scale_met_njets0_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS0_UP",
+        "metscale_mode" : 2,
+        "njets_mode" : 1
+      }
+    },
+    "res_met_njets0_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS0_DOWN",
+        "metres_mode" : 1,
+        "njets_mode" : 1 
+      }
+    },
+    "res_met_njets0_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS0_UP",
+        "metres_mode" : 2,
+        "njets_mode" : 1
+      }
+    },
+
+    "scale_met_njets1_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS1_DOWN",
+        "metscale_mode" : 1,
+        "njets_mode" : 2
+      }
+    },
+    "scale_met_njets1_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS1_UP",
+        "metscale_mode" : 2,
+        "njets_mode" : 2
+      }
+    },
+    "res_met_njets1_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS1_DOWN",
+        "metres_mode" : 1,
+        "njets_mode" : 2
+      }
+    },
+    "res_met_njets1_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS1_UP",
+        "metres_mode" : 2,
+        "njets_mode" : 2
+      }
+    },
+    "scale_met_njets2_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS2_DOWN",
+        "metscale_mode" : 1,
+        "njets_mode" : 3
+      }
+    },
+    "scale_met_njets2_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS2_UP",
+        "metscale_mode" : 2,
+        "njets_mode" : 3
+      }
+    },
+    "res_met_njets2_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS2_DOWN",
+        "metres_mode" : 1,
+        "njets_mode" : 3
+      }
+    },
+    "res_met_njets2_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS2_UP",
+        "metres_mode" : 2,
+        "njets_mode" : 3
+      }
+    },
+    "met_cl_lo": {
+      "baseline": {
+        "addit_output_folder" : "METCL_DOWN",
+        "metcl_mode" : 1
+      }
+    },
+    "met_cl_hi": {
+      "baseline": {
+        "addit_output_folder" : "METCL_UP",
+        "metcl_mode" : 2
+      }
+    },
+    "met_uncl_lo": {
+      "baseline": {
+        "addit_output_folder" : "METUNCL_DOWN",
+        "metuncl_mode" : 1
+      }
+    },
+    "met_uncl_hi": {
+      "baseline": {
+        "addit_output_folder" : "METUNCL_UP",
+        "metuncl_mode" : 2
+      }
+    },
+    "scale_b_lo": {
+      "baseline": {
+        "addit_output_folder" : "BTAG_DOWN",
+        "btag_mode" : 1
+      }
+    },
+    "scale_b_hi": {
+      "baseline": {
+        "addit_output_folder" : "BTAG_UP",
+        "btag_mode" : 2
+      }
+    },
+    "scale_bfake_lo": {
+      "baseline": {
+        "addit_output_folder" : "BFAKE_DOWN",
+        "bfake_mode" : 1
+      }
+    },
+    "scale_bfake_hi": {
+      "baseline": {
+        "addit_output_folder" : "BFAKE_UP",
+        "bfake_mode" : 2
+      }
+    },
+    "scale_lf_lo": {
+      "baseline": {
+        "addit_output_folder" : "LF_DOWN",
+        "btag_mode" : 5
+      }
+    },
+    "scale_lf_hi": {
+      "baseline": {
+        "addit_output_folder" : "LF_UP",
+        "btag_mode" : 6
+      }
+    },
+    "scale_hf_lo": {
+      "baseline": {
+        "addit_output_folder" : "HF_DOWN",
+        "btag_mode" : 7
+      }
+    },
+    "scale_hf_hi": {
+      "baseline": {
+        "addit_output_folder" : "HF_UP",
+        "btag_mode" : 8
+      }
+    },
+    "scale_hfstats1_lo": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS1_DOWN",
+        "btag_mode" :9 
+      }
+    },
+    "scale_hfstats1_hi": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS1_UP",
+        "btag_mode" : 10 
+      }
+    },
+    "scale_hfstats2_lo": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS2_DOWN",
+        "btag_mode" :11 
+      }
+    },
+    "scale_hfstats2_hi": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS2_UP",
+        "btag_mode" : 12 
+      }
+    },
+    "scale_lfstats1_lo": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS1_DOWN",
+        "btag_mode" :13 
+      }
+    },
+    "scale_lfstats1_hi": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS1_UP",
+        "btag_mode" : 14 
+      }
+    },
+    "scale_lfstats2_lo": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS2_DOWN",
+        "btag_mode" :15 
+      }
+    },
+    "scale_lfstats2_hi": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS2_UP",
+        "btag_mode" : 16 
+      }
+    },
+    "scale_cferr1_lo": {
+      "baseline": {
+        "addit_output_folder" : "CFERR1_DOWN",
+        "btag_mode" :17 
+      }
+    },
+    "scale_cferr1_hi": {
+      "baseline": {
+        "addit_output_folder" : "CFERR1_UP",
+        "btag_mode" : 18 
+      }
+    },
+    "scale_cferr2_lo": {
+      "baseline": {
+        "addit_output_folder" : "CFERR2_DOWN",
+        "btag_mode" :19 
+      }
+    },
+    "scale_cferr2_hi": {
+      "baseline": {
+        "addit_output_folder" : "CFERR2_UP",
+        "btag_mode" : 20 
+      }
+    },
+    "default": {}
+  },
+  "samples": {
+
+  }
+}
diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
new file mode 100644
index 000000000..80e58a249
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
@@ -0,0 +1,1140 @@
+{
+  "job": {
+    "filelist" : "filelists/Mar31_2018_MC_124X_DYJetsToLL.dat",
+    "file_prefix" : "root://gfe02.grid.hep.ph.ic.ac.uk:1097/store/user/irandreo/May0223_Data_124X_2022-preEE/",
+    "max_events":   -1,
+    "timings":      true,
+   //"channels":     ["mt","et","tt","zmm","zee","em"],
+   // "channels":     ["mt","zmm","tt","et"],
+    "channels":     ["tt"],
+//   "channels":     ["tt","mt","et","em","zmm","zee"],
+    "sequences": {
+      "all":  ["default"]
+//,"scale_met_high,""scale_met_lo","res_met_high","res_met_lo"]
+//      "et":   ["scale_t_lo", "scale_t_hi"],
+//      "mt":   ["scale_t_lo", "scale_t_hi"],
+ //     "tt":   ["scale_t_lo", "scale_t_hi"],
+  //    "em":   ["scale_e_lo", "scale_e_hi"]
+    },
+    "output_postfix":"",
+    "sample": "VBF_HToTauTau_M-125"
+  },
+  "sequence": {
+    // "do_mssm_higgspt" : true,
+    // "mssm_higgspt_file" : "/vols/build/cms/gu18/CMSSW_8_0_25/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTau2/input/mssm_higgspt/higgs_pt_v2_mssm_mode.root",
+    "usePFMET" : true,
+    "do_gen_analysis" : false,
+    "mc"            : "mc2018",
+    "era"           : "data_2022_preEE",
+    "strategy"      : "cpdecays18",
+    "is_data"       : false,
+    "is_embedded"   : false,
+    "save_output_jsons": false,
+    "make_sync_ntuple" : false,
+    "do_jetmet_uncerts": false,
+    "lumi_mask_only" : false,
+    "iso_study" : false,
+    "qcd_study" : false,
+    "tau_id_study":true,
+    "add_Hhh_variables" : false,
+    "get_effective" : false,
+    "do_btag_eff": false,
+    "trg_in_mc" : true,
+    "do_vbftrg" : false,
+    "filter_trg" : false,
+    "do_leptonplustau" : false,
+    "do_singlelepton" :true,
+    "do_singletau"    : true,
+    "store_trigobjpt" :true,
+    "tt_trg_iso_mode" : 0,
+    "moriond_tau_scale" : true,
+    "recoil_corrector" : false,
+    "do_preselection" : true,
+    "force_old_effs" : false,
+    "electrons"     : "electrons",
+    "muons"         : "muons",
+    "taus"          : "taus",
+    "jets"          : "ak4PFJetsCHS",
+    "met"           : "pfMET",
+    "genTaus"       : "genParticles",
+    "genJets"       : "genJets",
+    "do_mt_tagandprobe"    : false,
+    "do_recoil"            : false,
+    "do_iso_eff"    : false,
+    "do_tau_eff"    : false,
+    "do_ff_weights" : false,
+    "do_ff_systematics": false,
+    "do_pdf_wts": false,
+    "do_qcd_scale_wts": false,
+    //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
+    "output_folder" : "/eos/user/e/ebokor/output",
+    "svfit_from_grid" : true,
+    "read_all_svfit_files" : true,
+    "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
+    "svfit_override" : "",
+    "mela_folder" : "/vols/cms/dw515/Offline/output/SM/Jun22_MELA/",
+    "mela_mode" : 0,
+    "njets_mode" : 0,
+    //"event_check_file":"checkfile.dat",
+    "pu_id_training": 4,
+    "bjet_regr_correction" : false,
+    "new_svfit_mode" : 0,
+    "kinfit_mode"   : 0,
+    "mva_met_mode"  : 0,
+    "do_met_filters" : 1,
+    "faked_tau_selector" : 0,
+    "hadronic_tau_selector" : 0,
+    "run_gen_info"  : false,
+    "do_pu_wt"      : true,
+    "data_pu_file"  : "input/pileup/2018UL/PileupHistogram-goldenJSON-13tev-2018-69200ub-99bins.root",
+    "mc_pu_file"    : "input/pileup/2018UL/pileup_2018_DYJetsToLL-LO.root",
+    "run_trg_filter": false,
+    "baseline": {
+      "tau_scale_mode"    : true,
+      "jes_mode"          : 0,
+      "jer_mode"          : 0,
+      "btag_mode"         : 0,
+      "do_reshape"        : false,
+      "use_deep_csv"      : false,
+      "use_deep_jet"      : true,
+      "wp_to_check"       : "loose",
+      "bfake_mode"        : 0,
+      "tau_es_shift"      : 1.0,
+      "muon_es_shift"      : 1.0,
+      "efaketau_0pi_es_shift": 1.01362,
+      "efaketau_0pi_es_shift_endcap": 0.96903,
+      "efaketau_1pi_es_shift": 1.01945,
+      "efaketau_1pi_es_shift_endcap": 0.985,
+      "mufaketau_0pi_es_shift": 1.0,
+      "mufaketau_1pi_es_shift": 1.0,
+      "tau_1prong0pi0_es_shift": 0.991,
+      "tau_1prong1pi0_es_shift": 1.004,
+      "tau_3prong0pi0_es_shift": 0.998,
+      "tau_3prong1pi0_es_shift": 1.004,
+      "embedtau_1prong1pi0_es_shift": 0.9943, 
+      "embedtau_1prong0pi0_es_shift": 0.9967,
+      "embedtau_3prong0pi0_es_shift": 0.9926,
+      "embedtau_3prong1pi0_es_shift": 0.9926,
+      "elec_es_shift"     : 1.0,
+      "elec_es_shift_barrel": 0.9967,
+      "elec_es_shift_endcap": 0.9944,
+      "muon_res_shift": 0.0,
+      "elec_res_shift": 0.0,
+      "tau_res_shift": 0.0,
+      "fakeJ_tau_shift": 1.0,
+      "metscale_mode"     : 0,
+      "metres_mode"       : 0,
+      "metcl_mode"        : 0,
+      "metuncl_mode"      : 0,
+      "mass_shift"        : 1.0,
+      "do_em_extras"      : true,
+      "di_elec_veto"      : false,
+      "extra_elec_veto"   : false,
+      "max_extra_elecs"   : 1,
+      "di_muon_veto"      : false,
+      "extra_muon_veto"   : false,
+      "max_extra_muons"   : 1,
+      "tau_es_corr"       : false,
+      "lep_iso"           : true,
+      "do_tau_anti_elec"  : false,
+      "tau_anti_elec"     : "",
+      "do_tau_anti_muon"  : false,
+      "tau_anti_muon"     : "",
+      "elec_id"           : "CutBased" 
+    }
+  },
+  "channels": {
+    "et": {
+      "baseline": {
+        "pair_dr": 0.5,
+        "di_elec_veto"   :true,
+        "di_muon_veto"   :true,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 1,
+        "max_extra_muons": 0,
+        "do_tau_anti_muon": true,
+        "do_tau_anti_elec":true,
+        "do_ff_weights" : true, 
+        "do_ff_systematics": true,
+        "ff_categories" :"inclusive",
+        "ff_file" : "input/fake_factors/fakefactors_ws_et_lite_2018.root",
+        "ff_fracs_file" : ""
+          }
+    },
+ "tt": {
+      "baseline": {
+        "max_extra_elecs": 0,
+        "max_extra_muons": 0,
+        "di_muon_veto"   :true,
+        "di_elec_veto"   :true,
+        "extra_elec_veto" : true,
+        "extra_muon_veto" : true,
+        "do_tau_anti_muon": true,
+        "do_tau_anti_elec":true,
+        "do_ff_weights" : true,
+        "do_ff_systematics": true,
+        "ff_categories" :"inclusive",
+        "ff_file" : "input/fake_factors/fakefactors_ws_tt_lite_2018.root",
+        "ff_fracs_file" : ""
+      }
+    },
+
+    "mt": {
+      "baseline": {
+        "pair_dr": 0.5,
+        "di_muon_veto"   :true,
+        "di_elec_veto"   :true,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 0,
+        "max_extra_muons": 1,
+        "do_tau_anti_muon": true,
+        "do_tau_anti_elec":true,
+        "do_ff_weights" : true,
+        "do_ff_systematics": true,
+        "ff_categories" :"inclusive",
+        "ff_file" : "input/fake_factors/fakefactors_ws_mt_lite_2018.root",
+        "ff_fracs_file" : ""
+      }
+    },
+    "em": {
+      "baseline": {
+        "pair_dr": 0.3,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 1,
+        "max_extra_muons": 1
+      }
+    },
+    "zmm": {
+      "baseline": {
+        "pair_dr": 0.3,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 0,
+        "max_extra_muons": 2
+      }
+    },
+    "zee": {
+      "baseline": {
+        "pair_dr": 0.5,
+        "extra_elec_veto":true,
+        "extra_muon_veto":true,
+        "max_extra_elecs": 2,
+        "max_extra_muons": 0
+      }
+    }
+  },
+  "sequences": {
+    "scale_t_lo": {
+      "baseline": {
+        "addit_output_folder" : "TSCALE_DOWN",
+        "tau_scale_mode": true,
+        "elec_es_shift_barrel": 0.99,
+        "elec_es_shift_endcap": 0.975,
+        "tau_es_shift": 0.97,
+        "muon_es_shift": 0.998
+      }
+    },
+    "scale_t_hi": {
+      "baseline": {
+        "addit_output_folder" : "TSCALE_UP",
+        "tau_scale_mode": true,
+        "elec_es_shift_barrel": 1.01,
+        "elec_es_shift_endcap": 1.025,
+        "tau_es_shift": 1.03,
+        "muon_es_shift": 1.002
+      }
+    },
+    "scale_jfake_lo": {
+      "baseline": {
+        "addit_output_folder" : "JFAKE_DOWN",
+        "fakeJ_tau_shift": 0.97
+      }
+    },
+    "scale_jfake_hi": {
+      "baseline": {
+        "addit_output_folder": "JFAKE_UP",
+        "fakeJ_tau_shift": 1.03
+      }
+    },
+    "scale_t_0pi_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE0PI_UP",
+         "tau_shift_func_1prong0pi0": "0.991 + (0.0080 + (0.0300-0.0080)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong0pi0_es_shift": 1.0006
+      }
+    },
+    "scale_t_0pi_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE0PI_DOWN",
+         "tau_shift_func_1prong0pi0": "0.991 - (0.0080 + (0.0300-0.0080)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong0pi0_es_shift": 0.9928
+      }
+    },
+    "scale_t_1pi_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE1PI_UP",
+         "tau_shift_func_1prong1pi0": "1.004 + (0.0060 + (0.0200-0.0060)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong1pi0_es_shift" : 0.998
+      }
+    },
+    "scale_t_1pi_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE1PI_DOWN",
+         "tau_shift_func_1prong1pi0": "1.004 - (0.0060 + (0.0200-0.0060)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_1prong1pi0_es_shift" : 0.9912
+      }
+    },
+    "scale_t_3prong_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG_UP",
+         "tau_shift_func_3prong0pi0": "0.998 + (0.0070 + (0.0110-0.0070)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong0pi0_es_shift" : 0.9958
+      }
+    },
+    "scale_t_3prong_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG_DOWN",
+         "tau_shift_func_3prong0pi0": "0.998 - (0.0070 + (0.0110-0.0070)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong0pi0_es_shift" : 0.9894
+      }
+    },
+    "scale_t_3prong1pi0_hi": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG1PI0_UP",
+         "tau_shift_func_3prong1pi0": "1.004 + (0.009 + (0.0390-0.009)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong1pi0_es_shift" : 0.9948
+      }
+    },
+    "scale_t_3prong1pi0_lo": {
+      "baseline": {
+         "addit_output_folder" : "TSCALE3PRONG1PI0_DOWN",
+         "tau_shift_func_3prong1pi0": "1.004 - (0.009 + (0.0390-0.009)/(170.-34.)*(max(min(x,170.),34.)-34))",
+         "embedtau_3prong1pi0_es_shift" : 0.985
+      }
+    },
+    "scale_efake_0pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE0PI_DOWN",
+        "efaketau_0pi_es_shift": 1.00888,
+        "efaketau_0pi_es_shift_endcap": 0.95653
+      }
+    },
+    "scale_efake_0pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE0PI_UP",
+        "efaketau_0pi_es_shift": 1.02266,
+        "efaketau_0pi_es_shift_endcap": 1.00307
+      }
+    },
+    "scale_efake_1pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE1PI_DOWN",
+        "efaketau_1pi_es_shift": 1.00347,
+        "efaketau_1pi_es_shift_endcap": 0.94191
+      }
+    },
+    "scale_efake_1pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "EFAKE1PI_UP",
+        "efaketau_1pi_es_shift": 1.03171,
+        "efaketau_1pi_es_shift_endcap": 1.03999
+      }
+    },
+
+    "scale_mufake_0pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE0PI_DOWN",
+        "mufaketau_0pi_es_shift": 0.99
+      }
+    },
+    "scale_mufake_0pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE0PI_UP",
+        "mufaketau_0pi_es_shift": 1.01
+      }
+    },
+    "scale_mufake_1pi_lo": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE1PI_DOWN",
+        "mufaketau_1pi_es_shift": 0.99
+      }
+    },
+    "scale_mufake_1pi_hi": {
+      "baseline": {
+        "addit_output_folder" : "MUFAKE1PI_UP",
+        "mufaketau_1pi_es_shift": 1.01
+      }
+    },
+    "scale_e_lo": {
+      "baseline": {
+        "addit_output_folder" : "ESCALE_DOWN",
+        "e_scale_mode": true,
+        "elec_es_shift_barrel": 0.9917,
+        "elec_es_shift_endcap": 0.9819,
+        "e_unc_mode": 1
+      }
+    },
+    "scale_e_hi": {
+      "baseline": {
+        "addit_output_folder" : "ESCALE_UP",
+        "e_scale_mode": true,
+        "elec_es_shift_barrel": 1.0017,
+        "elec_es_shift_endcap": 1.0069,
+        "e_unc_mode": 2
+      }
+    },
+    "scale_mu_lo": {
+      "baseline": {
+        "addit_output_folder" : "MUSCALE_DOWN",
+        "mu_scale_mode": true,
+        //"muon_es_shift": 0.998,
+        //"muon_es_shift_barrel": 0.996,
+        //"muon_es_shift_nearendcap": 0.991,
+        //"muon_es_shift_farendcap": 0.983
+        "muon_es_shift": 0.9985,
+        "muon_es_shift_barrel": 0.9985,
+        "muon_es_shift_nearendcap": 0.9985,
+        "muon_es_shift_farendcap": 0.9985
+      }
+    },
+    "scale_mu_hi": {
+      "baseline": {
+        "addit_output_folder" : "MUSCALE_UP",
+        "mu_scale_mode": true,
+        //"muon_es_shift": 1.002,
+        //"muon_es_shift_barrel": 1.004,
+        //"muon_es_shift_nearendcap": 1.009,
+        //"muon_es_shift_farendcap": 1.017
+        "muon_es_shift": 1.0015,
+        "muon_es_shift_barrel": 1.0015,
+        "muon_es_shift_nearendcap": 1.0015,
+        "muon_es_shift_farendcap": 1.0015
+      }
+    },
+    "res_mu_hi": {
+      "baseline": {
+        "addit_output_folder" : "MURES_UP",
+        "muon_res_shift": 0.1
+      }
+    },
+    "res_mu_lo": {
+      "baseline": {
+        "addit_output_folder" : "MURES_DOWN",
+        "muon_res_shift": -0.1
+      }
+    },
+    "res_e_hi": {
+      "baseline": {
+        "addit_output_folder" : "ERES_UP",
+        "elec_res_shift": 0.1
+      }
+    },
+    "res_e_lo": {
+      "baseline": {
+        "addit_output_folder" : "ERES_DOWN",
+        "elec_res_shift": -0.1
+      }
+    },
+    "res_t_hi": {
+      "baseline": {
+        "addit_output_folder" : "TRES_UP",
+        "tau_res_shift": 0.01
+      } 
+    },  
+    "res_t_lo": {
+      "baseline": {
+        "addit_output_folder" : "TRES_DOWN",
+        "tau_res_shift": -0.01
+      }
+    },
+    "res_j_lo": {
+      "baseline": {
+        "addit_output_folder" : "JER_DOWN",
+        "jes_mode" : 1
+      }
+    },
+    "res_j_hi": {
+      "baseline": {
+        "addit_output_folder" : "JER_UP",
+        "jer_mode" : 2
+      }
+    },
+    "scale_j_lo": {
+      "baseline": {
+        "addit_output_folder" : "JES_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false
+//        "btag_mode" : 3
+      }
+    },
+    "scale_j_hi": {
+      "baseline": {
+        "addit_output_folder" : "JES_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false
+//        "btag_mode" : 4
+      }
+    },
+    "scale_j_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JES_CORR_DOWN",
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JES_CORR_UP",
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JES_UNCORR_DOWN",
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JES_UNCORR_UP",
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    // adding regrouped JECs (legacy/full run2 -- https://tinyurl.com/r976rmc)
+    "scale_j_relbal_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESRBAL_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeBal"
+      }
+    },
+    "scale_j_relbal_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESRBAL_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeBal"
+      }
+    },
+    "scale_j_abs_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute"
+      }
+    },
+    "scale_j_abs_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute"
+      }
+    },
+    "scale_j_abs_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute_2018"
+      }
+    },
+    "scale_j_abs_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESABS_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "Absolute_2018"
+      }
+    },
+    "scale_j_flav_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESFLAV_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "FlavorQCD"
+      }
+    },
+    "scale_j_flav_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESFLAV_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "FlavorQCD"
+      }
+    },
+    "scale_j_bbec1_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1"
+      }
+    },
+    "scale_j_bbec1_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1"
+      }
+    },
+    "scale_j_bbec1_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1_2018"
+      }
+    },
+    "scale_j_bbec1_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESBBEC1_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "BBEC1_2018"
+      }
+    },
+    "scale_j_ec2_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2"
+      }
+    },
+    "scale_j_ec2_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2"
+      }
+    },
+    "scale_j_ec2_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2_2018"
+      }
+    },
+    "scale_j_ec2_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESEC2_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "EC2_2018"
+      }
+    },
+    "scale_j_hf_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "HF"
+      }
+    },
+    "scale_j_hf_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "HF"
+      }
+    },
+    "scale_j_hf_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "HF_2018"
+      }
+    },
+    "scale_j_hf_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "HF_2018"
+      }
+    },
+    "scale_j_relsamp_year_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESRELSAMP_YEAR_DOWN",
+        "jes_mode" : 1,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeSample_2018"
+      }
+    },
+    "scale_j_relsamp_year_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESRELSAMP_YEAR_UP",
+        "jes_mode" : 2,
+        "split_by_source" : false,
+        "jes_input_set" : "RelativeSample_2018"
+      }
+    },
+    //
+    "scale_j_full_lo": {
+        "baseline": {
+          "addit_output_folder" : "JESFULL_DOWN",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 0,
+          "jes_mode" : 1
+        }
+      },
+    "scale_j_full_hi": {
+        "baseline": {
+          "addit_output_folder" : "JESFULL_UP",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 0,
+          "jes_mode" : 2
+        }
+      },
+      // adding correlations splitting for regional sources
+      // jes full detector
+    "scale_j_full_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_CORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_full_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_CORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_full_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_UNCORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_full_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESFULL_UNCORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 0,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    //
+    "scale_j_cent_lo": {
+        "baseline": {
+          "addit_output_folder" : "JESCENT_DOWN",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 1,
+          "jes_mode" : 1
+       }
+      },
+      "scale_j_cent_hi": {
+        "baseline": {
+          "addit_output_folder" : "JESCENT_UP",
+          "split_by_source" : false,
+          "split_by_region" : true,
+          "jec_region" : 1,
+          "jes_mode" : 2
+        }
+      },      
+      // adding correlations splitting for regional sources
+      // jes central detector
+    "scale_j_cent_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_CORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_cent_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_CORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_cent_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_UNCORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_cent_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESCENT_UNCORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 1,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    //
+    //"scale_j_hf_lo": {
+    //    "baseline": {
+    //      "addit_output_folder" : "JESHF_DOWN",
+    //      "split_by_source" : false,
+    //      "split_by_region" : true,
+    //      "jec_region" : 2,
+    //      "jes_mode" : 1
+    //   }
+    // },
+    //  "scale_j_hf_hi": {
+    //    "baseline": {
+    //      "addit_output_folder" : "JESHF_UP",
+    //      "split_by_source" : false,
+    //      "split_by_region" : true,
+    //      "jec_region" : 2,
+    //      "jes_mode" : 2
+    //    }
+    //  },
+      // adding correlations splitting for regional sources
+      // jes HF detector
+    "scale_j_hf_corr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_CORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_hf_corr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_CORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 1
+      }
+    },
+    "scale_j_hf_uncorr_lo": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_UNCORR_DOWN",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 1,
+        "jes_corr_mode" : 2 
+      }
+    },
+    "scale_j_hf_uncorr_hi": {
+      "baseline": {
+        "addit_output_folder" : "JESHF_UNCORR_UP",
+        "split_by_source" : false,
+        "split_by_region" : true,
+        "jec_region" : 2,
+        "jes_mode" : 2,
+        "jes_corr_mode" : 2
+      }
+    },
+    "scale_embed_met_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_DOWN",
+        "embed_metscale_mode" : 1
+      }
+    },
+    "scale_embed_met_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_UP",
+        "embed_metscale_mode" : 2
+      }
+    },
+    "scale_met_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_DOWN",
+        "metscale_mode" : 1
+      }
+    },
+    "scale_met_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_UP",
+        "metscale_mode" : 2
+      }
+    },
+    "res_met_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_DOWN",
+        "metres_mode" : 1
+      }
+    },
+    "res_met_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_UP",
+        "metres_mode" : 2
+      }
+    },
+    
+    "scale_met_njets0_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS0_DOWN",
+        "metscale_mode" : 1,
+        "njets_mode" : 1
+      }
+    },
+    "scale_met_njets0_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS0_UP",
+        "metscale_mode" : 2,
+        "njets_mode" : 1
+      }
+    },
+    "res_met_njets0_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS0_DOWN",
+        "metres_mode" : 1,
+        "njets_mode" : 1 
+      }
+    },
+    "res_met_njets0_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS0_UP",
+        "metres_mode" : 2,
+        "njets_mode" : 1
+      }
+    },
+
+    "scale_met_njets1_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS1_DOWN",
+        "metscale_mode" : 1,
+        "njets_mode" : 2
+      }
+    },
+    "scale_met_njets1_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS1_UP",
+        "metscale_mode" : 2,
+        "njets_mode" : 2
+      }
+    },
+    "res_met_njets1_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS1_DOWN",
+        "metres_mode" : 1,
+        "njets_mode" : 2
+      }
+    },
+    "res_met_njets1_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS1_UP",
+        "metres_mode" : 2,
+        "njets_mode" : 2
+      }
+    },
+    "scale_met_njets2_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS2_DOWN",
+        "metscale_mode" : 1,
+        "njets_mode" : 3
+      }
+    },
+    "scale_met_njets2_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_SCALE_NJETS2_UP",
+        "metscale_mode" : 2,
+        "njets_mode" : 3
+      }
+    },
+    "res_met_njets2_lo": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS2_DOWN",
+        "metres_mode" : 1,
+        "njets_mode" : 3
+      }
+    },
+    "res_met_njets2_hi": {
+      "baseline": {
+        "addit_output_folder" : "MET_RES_NJETS2_UP",
+        "metres_mode" : 2,
+        "njets_mode" : 3
+      }
+    },
+    "met_cl_lo": {
+      "baseline": {
+        "addit_output_folder" : "METCL_DOWN",
+        "metcl_mode" : 1
+      }
+    },
+    "met_cl_hi": {
+      "baseline": {
+        "addit_output_folder" : "METCL_UP",
+        "metcl_mode" : 2
+      }
+    },
+    "met_uncl_lo": {
+      "baseline": {
+        "addit_output_folder" : "METUNCL_DOWN",
+        "metuncl_mode" : 1
+      }
+    },
+    "met_uncl_hi": {
+      "baseline": {
+        "addit_output_folder" : "METUNCL_UP",
+        "metuncl_mode" : 2
+      }
+    },
+    "scale_b_lo": {
+      "baseline": {
+        "addit_output_folder" : "BTAG_DOWN",
+        "btag_mode" : 1
+      }
+    },
+    "scale_b_hi": {
+      "baseline": {
+        "addit_output_folder" : "BTAG_UP",
+        "btag_mode" : 2
+      }
+    },
+    "scale_bfake_lo": {
+      "baseline": {
+        "addit_output_folder" : "BFAKE_DOWN",
+        "bfake_mode" : 1
+      }
+    },
+    "scale_bfake_hi": {
+      "baseline": {
+        "addit_output_folder" : "BFAKE_UP",
+        "bfake_mode" : 2
+      }
+    },
+    "scale_lf_lo": {
+      "baseline": {
+        "addit_output_folder" : "LF_DOWN",
+        "btag_mode" : 5
+      }
+    },
+    "scale_lf_hi": {
+      "baseline": {
+        "addit_output_folder" : "LF_UP",
+        "btag_mode" : 6
+      }
+    },
+    "scale_hf_lo": {
+      "baseline": {
+        "addit_output_folder" : "HF_DOWN",
+        "btag_mode" : 7
+      }
+    },
+    "scale_hf_hi": {
+      "baseline": {
+        "addit_output_folder" : "HF_UP",
+        "btag_mode" : 8
+      }
+    },
+    "scale_hfstats1_lo": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS1_DOWN",
+        "btag_mode" :9 
+      }
+    },
+    "scale_hfstats1_hi": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS1_UP",
+        "btag_mode" : 10 
+      }
+    },
+    "scale_hfstats2_lo": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS2_DOWN",
+        "btag_mode" :11 
+      }
+    },
+    "scale_hfstats2_hi": {
+      "baseline": {
+        "addit_output_folder" : "HFSTATS2_UP",
+        "btag_mode" : 12 
+      }
+    },
+    "scale_lfstats1_lo": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS1_DOWN",
+        "btag_mode" :13 
+      }
+    },
+    "scale_lfstats1_hi": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS1_UP",
+        "btag_mode" : 14 
+      }
+    },
+    "scale_lfstats2_lo": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS2_DOWN",
+        "btag_mode" :15 
+      }
+    },
+    "scale_lfstats2_hi": {
+      "baseline": {
+        "addit_output_folder" : "LFSTATS2_UP",
+        "btag_mode" : 16 
+      }
+    },
+    "scale_cferr1_lo": {
+      "baseline": {
+        "addit_output_folder" : "CFERR1_DOWN",
+        "btag_mode" :17 
+      }
+    },
+    "scale_cferr1_hi": {
+      "baseline": {
+        "addit_output_folder" : "CFERR1_UP",
+        "btag_mode" : 18 
+      }
+    },
+    "scale_cferr2_lo": {
+      "baseline": {
+        "addit_output_folder" : "CFERR2_DOWN",
+        "btag_mode" :19 
+      }
+    },
+    "scale_cferr2_hi": {
+      "baseline": {
+        "addit_output_folder" : "CFERR2_UP",
+        "btag_mode" : 20 
+      }
+    },
+    "default": {}
+  },
+  "samples": {
+
+  }
+}
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
new file mode 100755
index 000000000..ac8533e9e
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -0,0 +1,434 @@
+#!/usr/bin/env python
+
+# python scripts/htt_mssm_2018.py --bkg --data --embed --sm --mssm --jetmetuncerts --scales="default,scale_t_0pi,scale_t_1pi,scale_t_3prong,scale_t_3prong1pi0,scale_efake_0pi,scale_efake_1pi,scale_mufake_0pi,scale_mufake_1pi,scale_e" --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+
+
+# python scripts/htt_UL_2018.py --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+
+
+# importing libraries
+import sys
+from optparse import OptionParser
+import os
+import math
+import json
+
+# setting up job stuff and condor template
+#-----------------------------------------
+os.system("voms-proxy-init --voms cms --valid 192:00 --out ~/cms.proxy")
+
+JOBWRAPPER      = './scripts/generate_job.sh'
+JOBSUBMIT       = 'true'
+if "JOBWRAPPER" in os.environ:      JOBWRAPPER      = os.environ["JOBWRAPPER"]
+if "JOBSUBMIT"  in os.environ:      JOBSUBMIT       = os.environ["JOBSUBMIT"]
+print "Using job-wrapper:    " + JOBWRAPPER
+print "Using job-submission: " + JOBSUBMIT
+
+CONDOR_TEMPLATE = """executable = ./jobs/%(EXE)s
+Proxy_path =/afs/cern.ch/user/a/adow/private/x509up
+arguments = $(ProcId) $(Proxy_path)
+output                = ./jobs/%(TASK)s.$(ClusterId).$(ProcId).out
+error                 = ./jobs/%(TASK)s.$(ClusterId).$(ProcId).err
+log                   = ./jobs/%(TASK)s.$(ClusterId).log
+requirements = (OpSysAndVer =?= "SLCern6")
++JobFlavour     = "longlunch"
+queue
+"""
+#-----------------------------------------
+
+# parsing options
+#-----------------------------------------
+def split_callback(option, opt, value, parser):
+    setattr(parser.values, option.dest, value.split(','))
+
+parser = OptionParser()
+parser.add_option("--wrapper", dest="wrapper",
+                  help="Specify the job-wrapper script. The current wrapper is '%(JOBWRAPPER)s'."
+                  " Using the --wrapper option overrides both the default and the environment variable. " % vars())
+
+parser.add_option("--submit", dest="submit",
+                  help="Specify the job-submission method. The current method is '%(JOBSUBMIT)s'"
+                  " Using the --submit option overrides both the default and the environment variable. " % vars())
+
+parser.add_option("--data", dest="proc_data", action='store_true', default=False,
+                  help="Process data samples")
+
+parser.add_option("--calc_lumi", dest="calc_lumi", action='store_true', default=False,
+                  help="Run on data and only write out lumi mask jsons")
+
+parser.add_option("--bkg", dest="proc_bkg", action='store_true', default=False,
+                  help="Process background mc samples")
+
+parser.add_option("--all", dest="proc_all", action='store_true', default=False,
+                  help="Process all samples")
+
+parser.add_option("--no_json", dest="no_json", action='store_true', default=False,
+                  help="Do not read the channels to process from the json to decide which datasets to run on")
+
+parser.add_option("--scales", dest="scales", type='string', default='default',
+                  help="List of systematic shifts to process")
+
+parser.add_option("--parajobs", dest="parajobs", action='store_true', default=False,
+                  help="Submit jobs parametrically")
+
+parser.add_option("--config", dest="config", type='string', default='scripts/config_2022.json',
+                  help="Config file")
+
+parser.add_option("--list_backup", dest="slbackupname", type='string', default='prevlist',
+                  help="Name you want to give to the previous files_per_samples file, in case you're resubmitting a subset of jobs")
+
+parser.add_option("--condor", action='store_true', default=False,
+                  help="Submit jobs to condor (for lxplus)")
+
+parser.add_option("--effective_events", action='store_true', default=False,
+                  help="Generating effective event numbers for processing all samples")
+
+parser.add_option("--jetmetuncerts", dest="jetmetuncerts", action='store_true', default=False,
+                  help="Do JES, JER, and MET uncertainties")
+#-----------------------------------------
+(options, args) = parser.parse_args()
+if options.wrapper: JOBWRAPPER=options.wrapper
+if options.submit:  JOBSUBMIT=options.submit
+if options.condor: JOBWRAPPER = "./scripts/generate_condor_job.sh"
+
+jetuncert_string=''
+if options.jetmetuncerts:
+  jetuncert_string='\\"do_jetmet_uncerts\\":true'
+else:
+  jetuncert_string='\\"do_jetmet_uncerts\\":false'
+
+def getParaJobSubmit(N):
+    if not options.submit: return 'true'
+    sub_opts=JOBSUBMIT.split(' ',1)[1]
+    if '\"' in sub_opts: sub_opts = sub_opts.replace('\"','')
+    sub_opts = '%s \"%s -t 1-%i:1\"' %(JOBSUBMIT.split(' ',1)[0], sub_opts, N)
+    return sub_opts
+
+BACKUPNAME = options.slbackupname
+scales = options.scales
+no_json = options.no_json
+parajobs = options.parajobs
+
+scale_list = scales.split(',')
+flatjsonlist = []
+flatjsonlistdysig = []
+flatjsonlist.append("job:sequences:all:")
+n_scales=0
+for scale in scale_list:
+    n_scales+=1
+    if scale == "default":
+        flatjsonlist.append("^%(scale)s"%vars())
+        flatjsonlistdysig.append("^%(scale)s"%vars())
+    else:
+        n_scales+=1
+        flatjsonlist.append("^%(scale)s_hi^%(scale)s_lo"%vars())
+        flatjsonlistdysig.append("^%(scale)s_hi^%(scale)s_lo"%vars())
+
+CONFIG='scripts/config_2022.json'
+if options.config != '': CONFIG = options.config
+
+n_channels=1
+output_folder = ""
+svfit_folder = ""
+svfit_mode = 0
+with open(CONFIG,"r") as input:
+    with open ("config_for_python_channels.json","w") as output:
+        for line in input:
+            if not '//' in line:
+                output.write(line)
+        output.close()
+    input.close()
+
+n_channels=4
+with open("config_for_python_channels.json") as config_file:
+    cfg = json.load(config_file)
+    n_channels=len(cfg["job"]["channels"])
+    output_folder = cfg["sequence"]["output_folder"]
+    svfit_mode = cfg["sequence"]["new_svfit_mode"]
+    svfit_folder = cfg["sequence"]["svfit_folder"]
+
+# makes sure output folder(s) (and svfit folder(s) if needed) is always created
+os.system("bash scripts/make_output_folder.sh {}".format(output_folder))
+if svfit_mode == 1:
+    os.system("bash scripts/make_output_folder.sh {}".format(svfit_folder))
+
+
+scale = int(math.ceil(float(n_scales*n_channels)/30))
+#scale = int(math.ceil(float(n_scales*n_channels)/8)) # change back later!
+if scale < 1: scale = 1
+
+total = float(len(flatjsonlistdysig))
+flatjsons = []
+if options.jetmetuncerts:
+# when we do the jet met uncertainties we do not want to run additional systematics in the same job 
+  for i in flatjsonlistdysig:
+    if 'default' in i:
+      flatjsons.append('job:sequences:all:'+i)
+      flatjsonlistdysig.remove(i)
+# split into seperate jobs if number of scales is over a value
+for i in range(0,scale):
+   first = i*int(math.ceil(total/scale))
+   last = (i+1)*int(math.ceil(total/scale))
+   temp=''.join(flatjsonlistdysig[first:last])
+   if temp == '': continue
+   temp='job:sequences:all:'+temp
+   flatjsons.append(temp)
+
+FILELIST='filelists/Mar31_2018_MC_124X'
+
+signal_mc = [ ]
+signal_vh = [ ]
+signal_mc_ww = [ ]
+
+if os.path.isfile("./jobs/files_per_sample_2018.txt"):
+    os.system("mv ./jobs/files_per_sample_2018.txt ./jobs/files_per_sample_2018-%(BACKUPNAME)s.txt"%vars())
+
+file_persamp = open("./jobs/files_per_sample_2018.txt", "w")
+
+
+if options.proc_data or options.proc_all or options.calc_lumi:
+    if not no_json:
+        with open(CONFIG,"r") as input:
+            with open ("config_for_python.json","w") as output:
+                for line in input:
+                    if not '//' in line:
+                        output.write(line)
+                output.close()
+            input.close()
+
+        with open("config_for_python.json") as config_file:
+            cfg = json.load(config_file)
+
+        channels=cfg["job"]["channels"]
+    else:
+        channels=['mt','et','tt','em','zmm','zee']
+
+if options.proc_data or options.proc_all or options.calc_lumi:
+
+    data_samples = []
+    data_eras = ['E','E_rereco','F','G']
+  
+    for chn in channels:
+        for era in data_eras:
+            if 'mt' in chn or 'zmm' in chn:
+                if 'SingleMuon'+era not in data_samples: data_samples+=['SingleMuon'+era]
+            if 'et' in chn or 'zee' in chn:
+                if 'EGamma'+era not in data_samples: data_samples+=['EGamma'+era]
+            if 'em' in chn:
+                data_samples+=['MuonEG'+era]
+            if 'tt' in chn:
+                data_samples+=['Tau'+era]
+
+    if ('mt' in channels or 'et' in channels) and 'tt' not in channels:
+      for era in data_eras:
+        data_samples+=['Tau'+era]
+
+    if options.effective_events: # this is just used for the effective events case
+        for era in data_eras:
+          if 'SingleMuon'+era not in data_samples: data_samples+=['SingleMuon'+era]
+          if 'EGamma'+era not in data_samples: data_samples+=['EGamma'+era]
+          if 'Tau'+era not in data_samples: data_samples+=['Tau'+era]
+          if 'MuonEG'+era not in data_samples: data_samples+=['MuonEG'+era]
+          if 'DoubleMuon'+era not in data_samples: data_samples+=['DoubleMuon'+era]
+
+    DATAFILELIST="./filelists/May0223_2022-postEE_Data_102X"
+
+    if options.calc_lumi:
+        for sa in data_samples:
+            JOB='%s_postEE_2022' % (sa)
+            user='irandreo'
+            prefix='May0223_Data_124X_2022-postEE'
+            JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true,\"lumi_mask_only\":true}}' "%vars());
+            nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
+            nperjob = 500 
+            if "TauC" in sa: nperjob = 252
+            elif "TauD" in sa: nperjob = 271
+            for i in range (0,int(math.ceil(float(nfiles)/float(nperjob)))):
+                os.system('%(JOBWRAPPER)s "./bin/HTT --cfg=%(CONFIG)s --json=%(JSONPATCH)s --offset=%(i)d --nlines=%(nperjob)d &> jobs/%(JOB)s-%(i)d.log" jobs/%(JOB)s-%(i)s.sh' %vars())
+                if not parajobs:
+                    os.system('%(JOBSUBMIT)s jobs/%(JOB)s-%(i)d.sh' % vars())
+            if parajobs:
+                os.system('%(JOBWRAPPER)s ./jobs/%(JOB)s-\$\(\(SGE_TASK_ID-1\)\).sh  jobs/parajob_%(JOB)s.sh' %vars())
+                PARAJOBSUBMIT = getParaJobSubmit(int(math.ceil(float(nfiles)/float(nperjob))))
+                os.system('%(PARAJOBSUBMIT)s jobs/parajob_%(JOB)s.sh' % vars())
+            file_persamp.write("%s %d\n" %(JOB, int(math.ceil(float(nfiles)/float(nperjob)))))
+
+    else:
+        for sa in data_samples:
+            JOB='%s_postEE_2022' % (sa)
+            user='irandreo'
+            prefix='May0223_Data_124X_2022-postEE'
+            JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[],\"zmm\":[],\"zee\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true}}' "%vars());
+            nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
+            nperjob = 30
+      
+            if "EGammaD" in sa: nperjob = 50
+            # elif "TauD" in sa: nperjob = 45
+            
+            for i in range (0,int(math.ceil(float(nfiles)/float(nperjob)))) :  
+                os.system('%(JOBWRAPPER)s "./bin/HTT --cfg=%(CONFIG)s --json=%(JSONPATCH)s --offset=%(i)d --nlines=%(nperjob)d &> jobs/%(JOB)s-%(i)d.log" jobs/%(JOB)s-%(i)s.sh' %vars())
+                if not parajobs and not options.condor:
+                    os.system('%(JOBSUBMIT)s jobs/%(JOB)s-%(i)d.sh' % vars())
+                elif not parajobs and options.condor:
+                    outscriptname = '{}-{}.sh'.format(JOB, i)
+                    subfilename = '{}_{}.sub'.format(JOB, i)
+                    subfile = open("jobs/{}".format(subfilename), "w")
+                    condor_settings = CONDOR_TEMPLATE % { 
+                      'EXE': outscriptname,
+                      'TASK': "{}-{}".format(JOB, i)
+                    }
+                    subfile.write(condor_settings)
+                    subfile.close()
+                    os.system('condor_submit jobs/{}'.format(subfilename))
+
+            if parajobs:
+                os.system('%(JOBWRAPPER)s ./jobs/%(JOB)s-\$\(\(SGE_TASK_ID-1\)\).sh  jobs/parajob_%(JOB)s.sh' %vars())
+                PARAJOBSUBMIT = getParaJobSubmit(int(math.ceil(float(nfiles)/float(nperjob))))
+                os.system('%(PARAJOBSUBMIT)s jobs/parajob_%(JOB)s.sh' % vars())
+            file_persamp.write("%s %d\n" %(JOB, int(math.ceil(float(nfiles)/float(nperjob)))))
+
+
+if options.proc_bkg or options.proc_all:
+    central_samples = [
+    # Drell-Yan LO
+    'DY1JetsToLL-LO',
+    'DY2JetsToLL-LO',
+    'DY3JetsToLL-LO',
+    'DY4JetsToLL-LO',
+    'DYJetsToLL-LO',
+    'DYJetsToLL-LO-ext1',
+
+    # Low mass Drell Yan LO
+    'DYJetsToLL_M-10to50-LO',
+ 
+    # Drell-Yan NLO
+    'DYJetsToLL-NLO',
+    'DYJetsToLL_0J-NLO',
+    'DYJetsToLL_1J-NLO',
+    'DYJetsToLL_2J-NLO',
+   
+    # Electroweak W and Z
+    'EWKWMinus2Jets_WToLNu',
+    'EWKWPlus2Jets_WToLNu',
+    'EWKZ2Jets_ZToLL',
+   
+    # W + Jets L0
+    'WJetsToLNu-LO',
+    'W1JetsToLNu-LO',
+    'W2JetsToLNu-LO',
+    'W3JetsToLNu-LO',
+    'W4JetsToLNu-LO',
+   
+#    # W + Jets NLO
+#    'WJetsToLNu_0J-NLO',
+#    'WJetsToLNu_1J-NLO',
+#    'WJetsToLNu_2J-NLO',
+#    #'WJetsToLNu-NLO',
+  
+   # ttbar
+    'TTTo2L2Nu',
+    'TTToHadronic',
+    'TTToSemiLeptonic',
+  
+    # Split diboson (Missing Files: WZTo1L3Nu, WZTo2L2Q)
+    'WZTo1L1Nu2Q',
+    'WZTo3LNu',
+    'WWTo1L1Nu2Q',
+    'WWTo2L2Nu',
+    'WZTo1L3Nu',
+    'WZTo2Q2L',
+    'ZZTo2L2Nu',
+    'ZZTo4L',
+ 
+#    # Triboson
+#    'WWZ',
+#    'WWZ-ext1',
+#    'WZZ',
+#    'WZZ-ext1',
+#    'WWW',
+#    'WWW-ext1',
+#    'ZZZ',
+#    'ZZZ-ext1',
+ 
+    # Other backgrounds
+    'WGToLNuG',
+    'Tbar-t',
+    'Tbar-tW',
+    'T-t',
+    'T-tW',
+ 
+#    # SM Higgs
+#    'GluGluHToTauTau_M125',
+#    'VBFHToTauTau_M125',
+#    'WminusHToTauTau_M125',
+#    'WplusHToTauTau_M125',
+#    'ZHToTauTau_M125',
+#    'ZHToTauTau_M125-ext1',
+#    'ttHToTauTau_M125'
+    ]
+
+    if options.effective_events: # this is just used for the effective events case
+      central_samples += [
+                          'VBF_HToZZTo4L_M125',
+                          'GluGlu_HToZZTo4L_M125',
+                          'GluGluToContinToZZTo2e2mu',
+                          'GluGluToContinToZZTo2e2tau',
+                          'GluGluToContinToZZTo2mu2tau',
+                          'GluGluToContinToZZTo4e',
+                          'GluGluToContinToZZTo4mu',
+                          'GluGluToContinToZZTo4tau',
+                          ]
+
+
+    for sa in central_samples:
+        JOB='%s_2018' % (sa)
+        user='dwinterb'
+        PREFIX='Mar31_MC_124X_2018'
+        JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(FILELIST)s_%(sa)s.dat\", \"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(PREFIX)s/\"}, \"sequence\":{\"output_name\":\"%(JOB)s\",%(jetuncert_string)s}}' "%vars());
+        
+        job_num=0
+        for FLATJSONPATCH in flatjsons:
+            #nperjob = 40
+            nperjob=20
+            if 'DY' not in sa and 'EWKZ' not in sa:
+                FLATJSONPATCH = FLATJSONPATCH.replace('^scale_efake_0pi_hi^scale_efake_0pi_lo','').replace('^scale_efake_1pi_hi^scale_efake_1pi_lo','').replace('^scale_mufake_0pi_hi^scale_mufake_0pi_lo','').replace('^scale_mufake_1pi_hi^scale_mufake_1pi_lo','')
+            if 'DY' not in sa and 'JetsToLNu' not in sa and 'WG' not in sa and 'EWKZ' not in sa and 'EWKW' not in sa:
+                FLATJSONPATCH = FLATJSONPATCH.replace('^scale_met_hi^scale_met_lo','').replace('^res_met_hi^res_met_lo','').replace('^scale_met_njets0_hi^scale_met_njets0_lo','').replace('^res_met_njets0_hi^res_met_njets0_lo','').replace('^scale_met_njets1_hi^scale_met_njets1_lo','').replace('^res_met_njets1_hi^res_met_njets1_lo','').replace('^scale_met_njets2_hi^scale_met_njets2_lo','').replace('^res_met_njets2_hi^res_met_njets2_lo','')
+            #else:
+            #    FLATJSONPATCH = FLATJSONPATCH.replace('^met_uncl_hi^met_uncl_lo','')
+            if FLATJSONPATCH == 'job:sequences:all:^^' or FLATJSONPATCH == 'job:sequences:all:': continue
+            n_scales = FLATJSONPATCH.count('_lo')*2 + FLATJSONPATCH.count('default')
+            if n_scales*n_channels>=24: nperjob = 10
+            if n_scales*n_channels>=48: nperjob=5
+
+            if options.jetmetuncerts and 'default' in FLATJSONPATCH: nperjob = int(math.ceil(float(nperjob)/2))
+
+            #if 'TTTo' in sa: nperjob = int(math.ceil(float(nperjob)/2)) 
+            if 'TTTo' in sa: nperjob = int(math.ceil(float(nperjob)/2)) 
+            if sa == 'TTTo2L2Nu': nperjob = int(math.ceil(float(nperjob)/2))
+            #nperjob = int(math.ceil(float(nperjob)/max(1.,float(n_scales)*float(n_channels)/10.)))
+            nfiles = sum(1 for line in open('%(FILELIST)s_%(sa)s.dat' % vars()))
+            for i in range (0,int(math.ceil(float(nfiles)/float(nperjob)))) :
+                os.system('%(JOBWRAPPER)s "./bin/HTT --cfg=%(CONFIG)s --json=%(JSONPATCH)s --flatjson=%(FLATJSONPATCH)s --offset=%(i)d --nlines=%(nperjob)d &> jobs/%(JOB)s-%(job_num)d.log" jobs/%(JOB)s-%(job_num)s.sh' %vars())
+                if not parajobs and not options.condor:
+                    os.system('%(JOBSUBMIT)s jobs/%(JOB)s-%(job_num)d.sh' % vars())
+                elif not parajobs and options.condor:
+                    outscriptname = '{}-{}.sh'.format(JOB, job_num)
+                    subfilename = '{}_{}.sub'.format(JOB, job_num)
+                    subfile = open("jobs/{}".format(subfilename), "w")
+                    condor_settings = CONDOR_TEMPLATE % {
+                      'EXE': outscriptname,
+                      'TASK': "{}-{}".format(JOB, job_num)
+                    }
+                    subfile.write(condor_settings)
+                    subfile.close()
+                    os.system('condor_submit jobs/{}'.format(subfilename))
+
+                job_num+=1
+            file_persamp.write("%s %d\n" %(JOB, int(math.ceil(float(nfiles)/float(nperjob)))))
+        if parajobs:
+            os.system('%(JOBWRAPPER)s ./jobs/%(JOB)s-\$\(\(SGE_TASK_ID-1\)\).sh  jobs/parajob_%(JOB)s.sh' %vars())
+            PARAJOBSUBMIT = getParaJobSubmit(job_num)
+            os.system('%(PARAJOBSUBMIT)s jobs/parajob_%(JOB)s.sh' % vars())
+
+
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
new file mode 100755
index 000000000..9b7e16f7c
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -0,0 +1,434 @@
+#!/usr/bin/env python
+
+# python scripts/htt_mssm_2018.py --bkg --data --embed --sm --mssm --jetmetuncerts --scales="default,scale_t_0pi,scale_t_1pi,scale_t_3prong,scale_t_3prong1pi0,scale_efake_0pi,scale_efake_1pi,scale_mufake_0pi,scale_mufake_1pi,scale_e" --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+
+
+# python scripts/htt_UL_2018.py --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+
+
+# importing libraries
+import sys
+from optparse import OptionParser
+import os
+import math
+import json
+
+# setting up job stuff and condor template
+#-----------------------------------------
+os.system("voms-proxy-init --voms cms --valid 192:00 --out ~/cms.proxy")
+
+JOBWRAPPER      = './scripts/generate_job.sh'
+JOBSUBMIT       = 'true'
+if "JOBWRAPPER" in os.environ:      JOBWRAPPER      = os.environ["JOBWRAPPER"]
+if "JOBSUBMIT"  in os.environ:      JOBSUBMIT       = os.environ["JOBSUBMIT"]
+print "Using job-wrapper:    " + JOBWRAPPER
+print "Using job-submission: " + JOBSUBMIT
+
+CONDOR_TEMPLATE = """executable = ./jobs/%(EXE)s
+Proxy_path =/afs/cern.ch/user/a/adow/private/x509up
+arguments = $(ProcId) $(Proxy_path)
+output                = ./jobs/%(TASK)s.$(ClusterId).$(ProcId).out
+error                 = ./jobs/%(TASK)s.$(ClusterId).$(ProcId).err
+log                   = ./jobs/%(TASK)s.$(ClusterId).log
+requirements = (OpSysAndVer =?= "SLCern6")
++JobFlavour     = "longlunch"
+queue
+"""
+#-----------------------------------------
+
+# parsing options
+#-----------------------------------------
+def split_callback(option, opt, value, parser):
+    setattr(parser.values, option.dest, value.split(','))
+
+parser = OptionParser()
+parser.add_option("--wrapper", dest="wrapper",
+                  help="Specify the job-wrapper script. The current wrapper is '%(JOBWRAPPER)s'."
+                  " Using the --wrapper option overrides both the default and the environment variable. " % vars())
+
+parser.add_option("--submit", dest="submit",
+                  help="Specify the job-submission method. The current method is '%(JOBSUBMIT)s'"
+                  " Using the --submit option overrides both the default and the environment variable. " % vars())
+
+parser.add_option("--data", dest="proc_data", action='store_true', default=False,
+                  help="Process data samples")
+
+parser.add_option("--calc_lumi", dest="calc_lumi", action='store_true', default=False,
+                  help="Run on data and only write out lumi mask jsons")
+
+parser.add_option("--bkg", dest="proc_bkg", action='store_true', default=False,
+                  help="Process background mc samples")
+
+parser.add_option("--all", dest="proc_all", action='store_true', default=False,
+                  help="Process all samples")
+
+parser.add_option("--no_json", dest="no_json", action='store_true', default=False,
+                  help="Do not read the channels to process from the json to decide which datasets to run on")
+
+parser.add_option("--scales", dest="scales", type='string', default='default',
+                  help="List of systematic shifts to process")
+
+parser.add_option("--parajobs", dest="parajobs", action='store_true', default=False,
+                  help="Submit jobs parametrically")
+
+parser.add_option("--config", dest="config", type='string', default='scripts/config_2022.json',
+                  help="Config file")
+
+parser.add_option("--list_backup", dest="slbackupname", type='string', default='prevlist',
+                  help="Name you want to give to the previous files_per_samples file, in case you're resubmitting a subset of jobs")
+
+parser.add_option("--condor", action='store_true', default=False,
+                  help="Submit jobs to condor (for lxplus)")
+
+parser.add_option("--effective_events", action='store_true', default=False,
+                  help="Generating effective event numbers for processing all samples")
+
+parser.add_option("--jetmetuncerts", dest="jetmetuncerts", action='store_true', default=False,
+                  help="Do JES, JER, and MET uncertainties")
+#-----------------------------------------
+(options, args) = parser.parse_args()
+if options.wrapper: JOBWRAPPER=options.wrapper
+if options.submit:  JOBSUBMIT=options.submit
+if options.condor: JOBWRAPPER = "./scripts/generate_condor_job.sh"
+
+jetuncert_string=''
+if options.jetmetuncerts:
+  jetuncert_string='\\"do_jetmet_uncerts\\":true'
+else:
+  jetuncert_string='\\"do_jetmet_uncerts\\":false'
+
+def getParaJobSubmit(N):
+    if not options.submit: return 'true'
+    sub_opts=JOBSUBMIT.split(' ',1)[1]
+    if '\"' in sub_opts: sub_opts = sub_opts.replace('\"','')
+    sub_opts = '%s \"%s -t 1-%i:1\"' %(JOBSUBMIT.split(' ',1)[0], sub_opts, N)
+    return sub_opts
+
+BACKUPNAME = options.slbackupname
+scales = options.scales
+no_json = options.no_json
+parajobs = options.parajobs
+
+scale_list = scales.split(',')
+flatjsonlist = []
+flatjsonlistdysig = []
+flatjsonlist.append("job:sequences:all:")
+n_scales=0
+for scale in scale_list:
+    n_scales+=1
+    if scale == "default":
+        flatjsonlist.append("^%(scale)s"%vars())
+        flatjsonlistdysig.append("^%(scale)s"%vars())
+    else:
+        n_scales+=1
+        flatjsonlist.append("^%(scale)s_hi^%(scale)s_lo"%vars())
+        flatjsonlistdysig.append("^%(scale)s_hi^%(scale)s_lo"%vars())
+
+CONFIG='scripts/config_2022.json'
+if options.config != '': CONFIG = options.config
+
+n_channels=1
+output_folder = ""
+svfit_folder = ""
+svfit_mode = 0
+with open(CONFIG,"r") as input:
+    with open ("config_for_python_channels.json","w") as output:
+        for line in input:
+            if not '//' in line:
+                output.write(line)
+        output.close()
+    input.close()
+
+n_channels=4
+with open("config_for_python_channels.json") as config_file:
+    cfg = json.load(config_file)
+    n_channels=len(cfg["job"]["channels"])
+    output_folder = cfg["sequence"]["output_folder"]
+    svfit_mode = cfg["sequence"]["new_svfit_mode"]
+    svfit_folder = cfg["sequence"]["svfit_folder"]
+
+# makes sure output folder(s) (and svfit folder(s) if needed) is always created
+os.system("bash scripts/make_output_folder.sh {}".format(output_folder))
+if svfit_mode == 1:
+    os.system("bash scripts/make_output_folder.sh {}".format(svfit_folder))
+
+
+scale = int(math.ceil(float(n_scales*n_channels)/30))
+#scale = int(math.ceil(float(n_scales*n_channels)/8)) # change back later!
+if scale < 1: scale = 1
+
+total = float(len(flatjsonlistdysig))
+flatjsons = []
+if options.jetmetuncerts:
+# when we do the jet met uncertainties we do not want to run additional systematics in the same job 
+  for i in flatjsonlistdysig:
+    if 'default' in i:
+      flatjsons.append('job:sequences:all:'+i)
+      flatjsonlistdysig.remove(i)
+# split into seperate jobs if number of scales is over a value
+for i in range(0,scale):
+   first = i*int(math.ceil(total/scale))
+   last = (i+1)*int(math.ceil(total/scale))
+   temp=''.join(flatjsonlistdysig[first:last])
+   if temp == '': continue
+   temp='job:sequences:all:'+temp
+   flatjsons.append(temp)
+
+FILELIST='filelists/Mar31_2018_MC_124X'
+
+signal_mc = [ ]
+signal_vh = [ ]
+signal_mc_ww = [ ]
+
+if os.path.isfile("./jobs/files_per_sample_2018.txt"):
+    os.system("mv ./jobs/files_per_sample_2018.txt ./jobs/files_per_sample_2018-%(BACKUPNAME)s.txt"%vars())
+
+file_persamp = open("./jobs/files_per_sample_2018.txt", "w")
+
+
+if options.proc_data or options.proc_all or options.calc_lumi:
+    if not no_json:
+        with open(CONFIG,"r") as input:
+            with open ("config_for_python.json","w") as output:
+                for line in input:
+                    if not '//' in line:
+                        output.write(line)
+                output.close()
+            input.close()
+
+        with open("config_for_python.json") as config_file:
+            cfg = json.load(config_file)
+
+        channels=cfg["job"]["channels"]
+    else:
+        channels=['mt','et','tt','em','zmm','zee']
+
+if options.proc_data or options.proc_all or options.calc_lumi:
+
+    data_samples = []
+    data_eras = ['A','B','B_rereco','C','C_rereco','D','D_rereco']
+  
+    for chn in channels:
+        for era in data_eras:
+            if 'mt' in chn or 'zmm' in chn:
+                if 'SingleMuon'+era not in data_samples: data_samples+=['SingleMuon'+era]
+            if 'et' in chn or 'zee' in chn:
+                if 'EGamma'+era not in data_samples: data_samples+=['EGamma'+era]
+            if 'em' in chn:
+                data_samples+=['MuonEG'+era]
+            if 'tt' in chn:
+                data_samples+=['Tau'+era]
+
+    if ('mt' in channels or 'et' in channels) and 'tt' not in channels:
+      for era in data_eras:
+        data_samples+=['Tau'+era]
+
+    if options.effective_events: # this is just used for the effective events case
+        for era in data_eras:
+          if 'SingleMuon'+era not in data_samples: data_samples+=['SingleMuon'+era]
+          if 'EGamma'+era not in data_samples: data_samples+=['EGamma'+era]
+          if 'Tau'+era not in data_samples: data_samples+=['Tau'+era]
+          if 'MuonEG'+era not in data_samples: data_samples+=['MuonEG'+era]
+          if 'DoubleMuon'+era not in data_samples: data_samples+=['DoubleMuon'+era]
+
+    DATAFILELIST="./filelists/May0223_2022-preEE_Data_102X"
+
+    if options.calc_lumi:
+        for sa in data_samples:
+            JOB='%s_preEE_2022' % (sa)
+            user='irandreo'
+            prefix='May0223_Data_124X_2022-preEE'
+            JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true,\"lumi_mask_only\":true}}' "%vars());
+            nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
+            nperjob = 500 
+            if "TauC" in sa: nperjob = 252
+            elif "TauD" in sa: nperjob = 271
+            for i in range (0,int(math.ceil(float(nfiles)/float(nperjob)))):
+                os.system('%(JOBWRAPPER)s "./bin/HTT --cfg=%(CONFIG)s --json=%(JSONPATCH)s --offset=%(i)d --nlines=%(nperjob)d &> jobs/%(JOB)s-%(i)d.log" jobs/%(JOB)s-%(i)s.sh' %vars())
+                if not parajobs:
+                    os.system('%(JOBSUBMIT)s jobs/%(JOB)s-%(i)d.sh' % vars())
+            if parajobs:
+                os.system('%(JOBWRAPPER)s ./jobs/%(JOB)s-\$\(\(SGE_TASK_ID-1\)\).sh  jobs/parajob_%(JOB)s.sh' %vars())
+                PARAJOBSUBMIT = getParaJobSubmit(int(math.ceil(float(nfiles)/float(nperjob))))
+                os.system('%(PARAJOBSUBMIT)s jobs/parajob_%(JOB)s.sh' % vars())
+            file_persamp.write("%s %d\n" %(JOB, int(math.ceil(float(nfiles)/float(nperjob)))))
+
+    else:
+        for sa in data_samples:
+            JOB='%s_preEE_2022' % (sa)
+            user='irandreo'
+            prefix='May0223_Data_124X_2022-preEE'
+            JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[],\"zmm\":[],\"zee\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true}}' "%vars());
+            nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
+            nperjob = 30
+      
+            if "EGammaD" in sa: nperjob = 50
+            # elif "TauD" in sa: nperjob = 45
+            
+            for i in range (0,int(math.ceil(float(nfiles)/float(nperjob)))) :  
+                os.system('%(JOBWRAPPER)s "./bin/HTT --cfg=%(CONFIG)s --json=%(JSONPATCH)s --offset=%(i)d --nlines=%(nperjob)d &> jobs/%(JOB)s-%(i)d.log" jobs/%(JOB)s-%(i)s.sh' %vars())
+                if not parajobs and not options.condor:
+                    os.system('%(JOBSUBMIT)s jobs/%(JOB)s-%(i)d.sh' % vars())
+                elif not parajobs and options.condor:
+                    outscriptname = '{}-{}.sh'.format(JOB, i)
+                    subfilename = '{}_{}.sub'.format(JOB, i)
+                    subfile = open("jobs/{}".format(subfilename), "w")
+                    condor_settings = CONDOR_TEMPLATE % { 
+                      'EXE': outscriptname,
+                      'TASK': "{}-{}".format(JOB, i)
+                    }
+                    subfile.write(condor_settings)
+                    subfile.close()
+                    os.system('condor_submit jobs/{}'.format(subfilename))
+
+            if parajobs:
+                os.system('%(JOBWRAPPER)s ./jobs/%(JOB)s-\$\(\(SGE_TASK_ID-1\)\).sh  jobs/parajob_%(JOB)s.sh' %vars())
+                PARAJOBSUBMIT = getParaJobSubmit(int(math.ceil(float(nfiles)/float(nperjob))))
+                os.system('%(PARAJOBSUBMIT)s jobs/parajob_%(JOB)s.sh' % vars())
+            file_persamp.write("%s %d\n" %(JOB, int(math.ceil(float(nfiles)/float(nperjob)))))
+
+
+if options.proc_bkg or options.proc_all:
+    central_samples = [
+    # Drell-Yan LO
+    'DY1JetsToLL-LO',
+    'DY2JetsToLL-LO',
+    'DY3JetsToLL-LO',
+    'DY4JetsToLL-LO',
+    'DYJetsToLL-LO',
+    'DYJetsToLL-LO-ext1',
+
+    # Low mass Drell Yan LO
+    'DYJetsToLL_M-10to50-LO',
+ 
+    # Drell-Yan NLO
+    'DYJetsToLL-NLO',
+    'DYJetsToLL_0J-NLO',
+    'DYJetsToLL_1J-NLO',
+    'DYJetsToLL_2J-NLO',
+   
+    # Electroweak W and Z
+    'EWKWMinus2Jets_WToLNu',
+    'EWKWPlus2Jets_WToLNu',
+    'EWKZ2Jets_ZToLL',
+   
+    # W + Jets L0
+    'WJetsToLNu-LO',
+    'W1JetsToLNu-LO',
+    'W2JetsToLNu-LO',
+    'W3JetsToLNu-LO',
+    'W4JetsToLNu-LO',
+   
+#    # W + Jets NLO
+#    'WJetsToLNu_0J-NLO',
+#    'WJetsToLNu_1J-NLO',
+#    'WJetsToLNu_2J-NLO',
+#    #'WJetsToLNu-NLO',
+  
+   # ttbar
+    'TTTo2L2Nu',
+    'TTToHadronic',
+    'TTToSemiLeptonic',
+  
+    # Split diboson (Missing Files: WZTo1L3Nu, WZTo2L2Q)
+    'WZTo1L1Nu2Q',
+    'WZTo3LNu',
+    'WWTo1L1Nu2Q',
+    'WWTo2L2Nu',
+    'WZTo1L3Nu',
+    'WZTo2Q2L',
+    'ZZTo2L2Nu',
+    'ZZTo4L',
+ 
+#    # Triboson
+#    'WWZ',
+#    'WWZ-ext1',
+#    'WZZ',
+#    'WZZ-ext1',
+#    'WWW',
+#    'WWW-ext1',
+#    'ZZZ',
+#    'ZZZ-ext1',
+ 
+    # Other backgrounds
+    'WGToLNuG',
+    'Tbar-t',
+    'Tbar-tW',
+    'T-t',
+    'T-tW',
+ 
+#    # SM Higgs
+#    'GluGluHToTauTau_M125',
+#    'VBFHToTauTau_M125',
+#    'WminusHToTauTau_M125',
+#    'WplusHToTauTau_M125',
+#    'ZHToTauTau_M125',
+#    'ZHToTauTau_M125-ext1',
+#    'ttHToTauTau_M125'
+    ]
+
+    if options.effective_events: # this is just used for the effective events case
+      central_samples += [
+                          'VBF_HToZZTo4L_M125',
+                          'GluGlu_HToZZTo4L_M125',
+                          'GluGluToContinToZZTo2e2mu',
+                          'GluGluToContinToZZTo2e2tau',
+                          'GluGluToContinToZZTo2mu2tau',
+                          'GluGluToContinToZZTo4e',
+                          'GluGluToContinToZZTo4mu',
+                          'GluGluToContinToZZTo4tau',
+                          ]
+
+
+    for sa in central_samples:
+        JOB='%s_2018' % (sa)
+        user='dwinterb'
+        PREFIX='Mar31_MC_124X_2018'
+        JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(FILELIST)s_%(sa)s.dat\", \"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(PREFIX)s/\"}, \"sequence\":{\"output_name\":\"%(JOB)s\",%(jetuncert_string)s}}' "%vars());
+        
+        job_num=0
+        for FLATJSONPATCH in flatjsons:
+            #nperjob = 40
+            nperjob=20
+            if 'DY' not in sa and 'EWKZ' not in sa:
+                FLATJSONPATCH = FLATJSONPATCH.replace('^scale_efake_0pi_hi^scale_efake_0pi_lo','').replace('^scale_efake_1pi_hi^scale_efake_1pi_lo','').replace('^scale_mufake_0pi_hi^scale_mufake_0pi_lo','').replace('^scale_mufake_1pi_hi^scale_mufake_1pi_lo','')
+            if 'DY' not in sa and 'JetsToLNu' not in sa and 'WG' not in sa and 'EWKZ' not in sa and 'EWKW' not in sa:
+                FLATJSONPATCH = FLATJSONPATCH.replace('^scale_met_hi^scale_met_lo','').replace('^res_met_hi^res_met_lo','').replace('^scale_met_njets0_hi^scale_met_njets0_lo','').replace('^res_met_njets0_hi^res_met_njets0_lo','').replace('^scale_met_njets1_hi^scale_met_njets1_lo','').replace('^res_met_njets1_hi^res_met_njets1_lo','').replace('^scale_met_njets2_hi^scale_met_njets2_lo','').replace('^res_met_njets2_hi^res_met_njets2_lo','')
+            #else:
+            #    FLATJSONPATCH = FLATJSONPATCH.replace('^met_uncl_hi^met_uncl_lo','')
+            if FLATJSONPATCH == 'job:sequences:all:^^' or FLATJSONPATCH == 'job:sequences:all:': continue
+            n_scales = FLATJSONPATCH.count('_lo')*2 + FLATJSONPATCH.count('default')
+            if n_scales*n_channels>=24: nperjob = 10
+            if n_scales*n_channels>=48: nperjob=5
+
+            if options.jetmetuncerts and 'default' in FLATJSONPATCH: nperjob = int(math.ceil(float(nperjob)/2))
+
+            #if 'TTTo' in sa: nperjob = int(math.ceil(float(nperjob)/2)) 
+            if 'TTTo' in sa: nperjob = int(math.ceil(float(nperjob)/2)) 
+            if sa == 'TTTo2L2Nu': nperjob = int(math.ceil(float(nperjob)/2))
+            #nperjob = int(math.ceil(float(nperjob)/max(1.,float(n_scales)*float(n_channels)/10.)))
+            nfiles = sum(1 for line in open('%(FILELIST)s_%(sa)s.dat' % vars()))
+            for i in range (0,int(math.ceil(float(nfiles)/float(nperjob)))) :
+                os.system('%(JOBWRAPPER)s "./bin/HTT --cfg=%(CONFIG)s --json=%(JSONPATCH)s --flatjson=%(FLATJSONPATCH)s --offset=%(i)d --nlines=%(nperjob)d &> jobs/%(JOB)s-%(job_num)d.log" jobs/%(JOB)s-%(job_num)s.sh' %vars())
+                if not parajobs and not options.condor:
+                    os.system('%(JOBSUBMIT)s jobs/%(JOB)s-%(job_num)d.sh' % vars())
+                elif not parajobs and options.condor:
+                    outscriptname = '{}-{}.sh'.format(JOB, job_num)
+                    subfilename = '{}_{}.sub'.format(JOB, job_num)
+                    subfile = open("jobs/{}".format(subfilename), "w")
+                    condor_settings = CONDOR_TEMPLATE % {
+                      'EXE': outscriptname,
+                      'TASK': "{}-{}".format(JOB, job_num)
+                    }
+                    subfile.write(condor_settings)
+                    subfile.close()
+                    os.system('condor_submit jobs/{}'.format(subfilename))
+
+                job_num+=1
+            file_persamp.write("%s %d\n" %(JOB, int(math.ceil(float(nfiles)/float(nperjob)))))
+        if parajobs:
+            os.system('%(JOBWRAPPER)s ./jobs/%(JOB)s-\$\(\(SGE_TASK_ID-1\)\).sh  jobs/parajob_%(JOB)s.sh' %vars())
+            PARAJOBSUBMIT = getParaJobSubmit(job_num)
+            os.system('%(PARAJOBSUBMIT)s jobs/parajob_%(JOB)s.sh' % vars())
+
+

From 0cf2f2073a62c208503c7f3c985db466e3815db2 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 5 Jul 2023 10:26:19 +0200
Subject: [PATCH 02/50] Add 2022 eras enum type and add 2022 golden json

---
 ...t_Collisions2022_355100_362760_Golden.json | 453 ++++++++++++++++++
 .../HiggsTauTauRun2/interface/HTTConfig.h     |  12 +-
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc   |   2 +
 3 files changed, 464 insertions(+), 3 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden.json

diff --git a/Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden.json b/Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden.json
new file mode 100644
index 000000000..81cabfa78
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden.json
@@ -0,0 +1,453 @@
+{
+  "355374": [[59, 84]],
+  "355381": [[1, 358]],
+  "355418": [[1, 41]],
+  "355419": [[1, 98]],
+  "355429": [[42, 89]],
+  "355435": [[42, 84]],
+  "355442": [[1, 22]],
+  "355443": [[1, 240]],
+  "355444": [[1, 153]],
+  "355445": [[1, 242]],
+  "355454": [[38, 118]],
+  "355455": [[1, 40]],
+  "355456": [[1, 501]],
+  "355558": [[122, 409]],
+  "355559": [[1, 162]],
+  "355679": [[27, 85]],
+  "355680": [[1, 1651]],
+  "355768": [[82, 126]],
+  "355769": [[1, 541]],
+  "355862": [[121, 133]],
+  "355863": [[1, 14]],
+  "355870": [[31, 67]],
+  "355871": [[1, 5]],
+  "355872": [
+    [1, 738],
+    [758, 995],
+    [997, 1217]
+  ],
+  "355892": [[14, 197]],
+  "355912": [[43, 200]],
+  "355913": [[1, 106]],
+  "355921": [[38, 442]],
+  "355933": [[75, 448]],
+  "355942": [[24, 189], [193, 213]],
+  "355988": [[43, 80], [85, 90]],
+  "355989": [[1, 24]],
+  "355998": [[1, 35]],
+  "355999": [[1, 9]],
+  "356004": [[1, 19]],
+  "356005": [[1, 187]],
+  "356043": [[1, 65]],
+  "356071": [[37, 191]],
+  "356074": [[1, 26]],
+  "356075": [[1, 125]],
+  "356076": [[1, 153]],
+  "356077": [[1, 472]],
+  "356135": [[46, 71]],
+  "356309": [[61, 184]],
+  "356316": [[45, 185]],
+  "356322": [[1, 19]],
+  "356323": [[1, 67], [69, 650]],
+  "356371": [[41, 50], [67, 72]],
+  "356375": [[35, 77], [101, 125]],
+  "356378": [
+    [8, 208],
+    [210, 219],
+    [221, 304]
+  ],
+  "356381": [[1, 1193]],
+  "356383": [[1, 33]],
+  "356385": [[1, 30]],
+  "356386": [[1, 122]],
+  "356426": [[39, 60]],
+  "356428": [[1, 300]],
+  "356433": [[1, 310]],
+  "356434": [[1, 13]],
+  "356435": [[1, 3], [8, 8]],
+  "356446": [[10, 623]],
+  "356523": [[32, 410], [412, 898]],
+  "356531": [[1, 56]],
+  "356563": [
+    [36, 113],
+    [117, 164],
+    [168, 177],
+    [181, 191],
+    [193, 194],
+    [199, 343]
+  ],
+  "356568": [[42, 64]],
+  "356569": [[1, 251]],
+  "356570": [[1, 98]],
+  "356576": [[58, 240]],
+  "356578": [[1, 865]],
+  "356580": [[1, 51]],
+  "356582": [[7, 104]],
+  "356614": [[1, 10], [16, 19], [27, 62]],
+  "356615": [[1, 1297]],
+  "356619": [[1, 173]],
+  "356810": [[44, 163]],
+  "356811": [[1, 44]],
+  "356812": [[1, 107]],
+  "356813": [[1, 54]],
+  "356814": [
+    [1, 305],
+    [307, 309],
+    [311, 366],
+    [368, 672]
+  ],
+  "356815": [[1, 54], [176, 219]],
+  "356824": [[1, 66]],
+  "356908": [[1, 26]],
+  "356919": [[29, 116]],
+  "356937": [[20, 138]],
+  "356946": [[1, 129]],
+  "356947": [[1, 350]],
+  "356948": [[1, 88]],
+  "356949": [[1, 94]],
+  "356951": [[1, 274]],
+  "356954": [[1, 364]],
+  "356955": [[1, 380]],
+  "356956": [[1, 109]],
+  "356968": [[81, 252]],
+  "356969": [[1, 236]],
+  "356970": [[1, 366]],
+  "356998": [[1, 5]],
+  "356999": [[1, 58]],
+  "357000": [[1, 50]],
+  "357001": [[1, 183]],
+  "357079": [[1, 22]],
+  "357080": [[1, 616]],
+  "357081": [[1, 759]],
+  "357101": [[54, 103]],
+  "357102": [[1, 13], [43, 134]],
+  "357104": [[1, 4]],
+  "357106": [[1, 60]],
+  "357112": [[1, 519]],
+  "357268": [[70, 143]],
+  "357271": [[1, 20], [22, 1570]],
+  "357328": [[44, 105]],
+  "357329": [[1, 668]],
+  "357330": [[1, 157]],
+  "357331": [[1, 23]],
+  "357332": [[1, 430]],
+  "357333": [[1, 207]],
+  "357401": [[48, 664]],
+  "357406": [[50, 174]],
+  "357438": [[35, 230]],
+  "357440": [[1, 354]],
+  "357441": [[1, 83]],
+  "357442": [[1, 1373]],
+  "357447": [[40, 50]],
+  "357472": [[34, 60]],
+  "357478": [[43, 50]],
+  "357479": [[1, 1046]],
+  "357482": [[1, 5], [21, 220]],
+  "357538": [[39, 63]],
+  "357542": [[1, 11], [13, 252]],
+  "357550": [[1, 36]],
+  "357610": [[63, 253]],
+  "357611": [[1, 412]],
+  "357612": [[1, 736]],
+  "357613": [[1, 256]],
+  "357688": [[1, 380]],
+  "357696": [[31, 319], [341, 410]],
+  "357697": [[1, 39]],
+  "357698": [[1, 63]],
+  "357699": [[1, 30]],
+  "357700": [[1, 757]],
+  "357701": [[1, 310]],
+  "357705": [[1, 202]],
+  "357706": [[1, 161]],
+  "357720": [[32, 92]],
+  "357732": [[30, 157]],
+  "357734": [[1, 300]],
+  "357735": [
+    [1, 387],
+    [389, 821],
+    [823, 947],
+    [949, 1126]
+  ],
+  "357754": [[29, 145]],
+  "357756": [[1, 425]],
+  "357757": [[1, 9]],
+  "357758": [[1, 85]],
+  "357759": [[1, 70]],
+  "357766": [[10, 124]],
+  "357777": [[1, 85]],
+  "357778": [[1, 359]],
+  "357779": [[1, 74]],
+  "357781": [[1, 10]],
+  "357802": [[43, 206]],
+  "357803": [[1, 153]],
+  "357804": [[1, 23]],
+  "357805": [[1, 88]],
+  "357806": [[1, 56]],
+  "357807": [[1, 244]],
+  "357808": [[1, 17]],
+  "357809": [[1, 41]],
+  "357812": [[1, 50]],
+  "357813": [[1, 293]],
+  "357814": [[1, 212]],
+  "357815": [[1, 944]],
+  "357898": [[1, 313]],
+  "357899": [[1, 637]],
+  "357900": [[1, 516]],
+  "359569": [[1, 83]],
+  "359571": [
+    [1, 4],
+    [7, 28],
+    [30, 39],
+    [41, 50],
+    [52, 61],
+    [63, 72],
+    [74, 83],
+    [85, 94],
+    [96, 105],
+    [107, 116],
+    [118, 127],
+    [129, 138],
+    [140, 149],
+    [151, 160],
+    [162, 169]
+  ],
+  "359575": [
+    [1, 13],
+    [15, 24],
+    [26, 35],
+    [37, 46],
+    [48, 57],
+    [59, 68],
+    [70, 89]
+  ],
+  "359595": [[17, 289]],
+  "359597": [[1, 94]],
+  "359602": [[1, 74]],
+  "359609": [[1, 25]],
+  "359612": [[1, 12]],
+  "359661": [[42, 233]],
+  "359685": [[1, 132]],
+  "359686": [[1, 934]],
+  "359691": [[19, 139]],
+  "359693": [[1, 604]],
+  "359694": [[1, 1080]],
+  "359699": [[28, 1883]],
+  "359718": [[1, 199], [202, 368]],
+  "359750": [[52, 186]],
+  "359751": [[15, 1007]],
+  "359762": [[44, 266]],
+  "359763": [[1, 410], [412, 459]],
+  "359764": [[28, 1111]],
+  "359776": [[104, 432]],
+  "359806": [[42, 410]],
+  "359808": [[1, 46]],
+  "359809": [[1, 43]],
+  "359810": [[1, 183]],
+  "359812": [[1, 227]],
+  "359814": [[1, 366]],
+  "359870": [[2, 7]],
+  "359871": [[1, 228]],
+  "359887": [[30, 502]],
+  "359899": [[19, 305]],
+  "359903": [[1, 12]],
+  "359998": [
+    [24, 757],
+    [759, 759],
+    [761, 785],
+    [787, 1918]
+  ],
+  "360017": [[42, 81]],
+  "360019": [[1, 153], [155, 1489]],
+  "360075": [[20, 429], [462, 809]],
+  "360090": [[1, 794]],
+  "360116": [[77, 432]],
+  "360125": [
+    [132, 195],
+    [200, 262],
+    [264, 324]
+  ],
+  "360126": [[1, 35], [37, 370]],
+  "360127": [[1, 201]],
+  "360128": [[1, 163]],
+  "360130": [[87, 91]],
+  "360131": [[1, 378]],
+  "360141": [[25, 775]],
+  "360224": [[43, 259]],
+  "360225": [[1, 169], [171, 356]],
+  "360295": [[35, 771], [774, 1475]],
+  "360296": [[1, 519]],
+  "360327": [[32, 383]],
+  "360390": [[5, 36], [38, 76]],
+  "360391": [[1, 4]],
+  "360392": [[1, 61]],
+  "360393": [[1, 124]],
+  "360400": [[40, 119]],
+  "360413": [[37, 126]],
+  "360428": [[50, 123]],
+  "360432": [[1, 28]],
+  "360435": [[1, 37], [43, 53]],
+  "360437": [[1, 40]],
+  "360438": [[1, 6]],
+  "360458": [[45, 215], [234, 246]],
+  "360459": [[1, 1332]],
+  "360460": [[1, 1077]],
+  "360486": [[45, 322]],
+  "360490": [[8, 936], [940, 1187]],
+  "360491": [[3, 157], [159, 179]],
+  "360737": [[10, 27]],
+  "360761": [[34, 190]],
+  "360794": [[37, 713]],
+  "360795": [[1, 395]],
+  "360797": [[1, 5]],
+  "360820": [[1, 885]],
+  "360825": [[1, 358]],
+  "360826": [[1, 91], [93, 119]],
+  "360856": [[42, 97]],
+  "360874": [[31, 82]],
+  "360876": [[1, 341]],
+  "360887": [[12, 134]],
+  "360888": [[1, 289]],
+  "360889": [[1, 36]],
+  "360890": [[1, 216], [219, 506]],
+  "360892": [[1, 296]],
+  "360895": [[1, 700]],
+  "360919": [[39, 836]],
+  "360920": [[1, 4]],
+  "360921": [[1, 218]],
+  "360927": [
+    [37, 331],
+    [333, 581],
+    [583, 1930]
+  ],
+  "360941": [[1, 72]],
+  "360942": [[1, 344]],
+  "360945": [[1, 91]],
+  "360946": [[1, 364]],
+  "360948": [[1, 119]],
+  "360950": [
+    [1, 179],
+    [181, 468],
+    [470, 718]
+  ],
+  "360951": [[1, 190]],
+  "360991": [[41, 270]],
+  "360992": [[1, 99]],
+  "361020": [[41, 439]],
+  "361044": [[42, 166]],
+  "361045": [[1, 322], [325, 947]],
+  "361050": [[1, 10]],
+  "361052": [[1, 65]],
+  "361054": [[1, 461]],
+  "361083": [[6, 59]],
+  "361091": [[38, 418]],
+  "361105": [[41, 448]],
+  "361106": [[1, 31]],
+  "361107": [[1, 156]],
+  "361108": [[1, 7]],
+  "361110": [[1, 197]],
+  "361188": [[46, 186]],
+  "361193": [[1, 29]],
+  "361195": [[1, 20]],
+  "361197": [[1, 960], [991, 2177]],
+  "361223": [[36, 730]],
+  "361239": [[35, 1090]],
+  "361240": [[1, 1015]],
+  "361272": [[1, 125]],
+  "361280": [[1, 267]],
+  "361283": [[1, 26]],
+  "361284": [[1, 36]],
+  "361297": [[38, 970]],
+  "361303": [[36, 2275]],
+  "361318": [[34, 490]],
+  "361319": [[1, 162]],
+  "361320": [[1, 382]],
+  "361333": [[36, 337]],
+  "361361": [[60, 105]],
+  "361362": [[1, 31]],
+  "361363": [[1, 27]],
+  "361365": [[1, 489]],
+  "361366": [[1, 201]],
+  "361400": [[41, 496]],
+  "361417": [[38, 1659]],
+  "361443": [[40, 2313]],
+  "361468": [[3, 1883]],
+  "361475": [
+    [37, 614],
+    [617, 836],
+    [838, 838],
+    [840, 1121],
+    [1124, 1273]
+  ],
+  "361512": [[36, 849], [851, 1573]],
+  "361569": [[35, 598]],
+  "361573": [[1, 305]],
+  "361579": [[43, 905]],
+  "361580": [[1, 422]],
+  "361957": [[1, 1163]],
+  "361971": [[38, 731], [733, 2381]],
+  "361989": [[37, 112], [114, 151]],
+  "361990": [[1, 204]],
+  "361994": [[1, 116]],
+  "362058": [[39, 209]],
+  "362059": [[1, 63]],
+  "362060": [[1, 83], [85, 85]],
+  "362061": [[1, 314]],
+  "362062": [[1, 207]],
+  "362063": [[1, 70], [77, 92]],
+  "362064": [
+    [93, 218],
+    [220, 508],
+    [510, 1067]
+  ],
+  "362087": [[1, 13], [15, 146]],
+  "362091": [[1, 1418]],
+  "362104": [[33, 147]],
+  "362105": [[1, 179]],
+  "362106": [[1, 78]],
+  "362107": [[1, 785]],
+  "362148": [[39, 758]],
+  "362153": [[1, 140]],
+  "362154": [[1, 784]],
+  "362159": [[29, 35]],
+  "362161": [[1, 120]],
+  "362163": [[1, 65]],
+  "362166": [[1, 331]],
+  "362167": [[1, 646]],
+  "362437": [[1, 11], [73, 92]],
+  "362439": [[8, 34], [249, 1595]],
+  "362597": [[1, 139]],
+  "362614": [[1, 153]],
+  "362615": [[1, 149]],
+  "362616": [[1, 351]],
+  "362617": [[1, 244]],
+  "362618": [[1, 274]],
+  "362653": [[40, 305]],
+  "362654": [[1, 26]],
+  "362655": [
+    [1, 140],
+    [143, 144],
+    [148, 338]
+  ],
+  "362657": [[1, 198]],
+  "362695": [[39, 372]],
+  "362696": [
+    [1, 1112],
+    [1114, 1120],
+    [1122, 1124],
+    [1126, 1128],
+    [1130, 1132],
+    [1134, 1140],
+    [1142, 1144],
+    [1146, 1148],
+    [1150, 1152],
+    [1154, 1720]
+  ],
+  "362698": [[1, 374]],
+  "362720": [[52, 949]],
+  "362727": [[4, 7]],
+  "362728": [[1, 388]],
+  "362757": [[32, 93]],
+  "362758": [[1, 205]],
+  "362760": [[1, 728]]
+}
diff --git a/Analysis/HiggsTauTauRun2/interface/HTTConfig.h b/Analysis/HiggsTauTauRun2/interface/HTTConfig.h
index b11f1ec5d..a9e52e9f1 100644
--- a/Analysis/HiggsTauTauRun2/interface/HTTConfig.h
+++ b/Analysis/HiggsTauTauRun2/interface/HTTConfig.h
@@ -122,7 +122,9 @@ struct era_def {
         data_2017,
 	data_2017UL,
         data_2018,
-	data_2018UL
+	data_2018UL,
+  data_2022_preEE,
+  data_2022_postEE
 	};
 };
 typedef safe_enum<era_def> era;
@@ -138,7 +140,9 @@ inline std::string Era2String(era const& in) {
         (era::data_2017,        "data_2017")
 	(era::data_2017UL,	"data_2017UL")
         (era::data_2018,        "data_2018")
-	(era::data_2018UL,	"data_2018UL");
+	(era::data_2018UL,	"data_2018UL")
+  (era::data_2022_preEE, "data_2022_preEE")
+  (era::data_2022_postEE, "data_2022_postEE");
 	if (conv.find(in) != conv.end()) {
 		return (conv[in]);
 	} else {
@@ -158,7 +162,9 @@ inline era String2Era(std::string const& in) {
     ("data_2017",        era::data_2017)
     ("data_2017UL",	era::data_2017UL)
     ("data_2018",        era::data_2018)
-    ("data_2018UL",	era::data_2018UL);
+    ("data_2018UL",	era::data_2018UL)
+    ("data_2022_preEE", era::data_2022_preEE)
+    ("data_2022_postEE", era::data_2022_postEE);
 	if (conv.find(in) != conv.end()) {
 		return (conv.find(in)->second);
 	} else {
diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index 13fc4e186..b1bb4e0cd 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -376,6 +376,8 @@ void HTTSequence::BuildSequence(){
       data_json = "input/json/Cert_294927-306462_13TeV_UL2017_Collisions17_GoldenJSON.txt";
   if ((era_type == era::data_2018 || era_type == era::data_2018UL))
       data_json = "input/json/Cert_314472-325175_13TeV_Legacy2018_Collisions18_JSON.txt";
+  if ((era_type == era::data_2022_preEE || era_type == era::data_2022_postEE))
+      data_json = "input/json/Cert_Collisions2022_355100_362760_Golden.json";   
 
  if(js["get_effective"].asBool() && js["make_sync_ntuple"].asBool()){
    std::cerr<< "Error: cannot run effective number of event module in make_syncntuple mode"<<std::endl;

From 6a8f1d427d195da1db026b5537cfe27e2a4da32e Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 5 Jul 2023 10:27:09 +0200
Subject: [PATCH 03/50] Change channel to tt

---
 Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json b/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
index 5fe080021..12fe6d16b 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
@@ -6,7 +6,7 @@
     "timings":      true,
    //"channels":     ["mt","et","tt","zmm","zee","em"],
    // "channels":     ["mt","zmm","tt","et"],
-    "channels":     ["mt","zmm"],
+    "channels":     ["tt"],
 //   "channels":     ["tt","mt","et","em","zmm","zee"],
     "sequences": {
       "all":  ["default"]
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_v2/",
+    "output_folder" : "/eos/user/e/ebokor/output",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",

From 0c3430a55cca186c88b9bba0078ce4238d991e7d Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 5 Jul 2023 12:06:56 +0100
Subject: [PATCH 04/50] Change output folder

---
 Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json b/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
index 12fe6d16b..df71ff498 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/eos/user/e/ebokor/output",
+    "output_folder" : "/vols/cms/eb921/output/tt_UL_2018",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",

From 0714962b2494b78ad9a01e01606234f761800ff4 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 5 Jul 2023 13:18:17 +0100
Subject: [PATCH 05/50] Fix 2022 py and change output folder

---
 Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json | 2 +-
 Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json  | 2 +-
 Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py      | 2 +-
 Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py       | 2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
index 7f382cf7e..1f19a3ac2 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/eos/user/e/ebokor/output",
+    "output_folder" : "/vols/cms/eb921/output/tt_2022 ",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
index 80e58a249..bffd05e06 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/eos/user/e/ebokor/output",
+    "output_folder" : "/vols/cms/eb921/output/tt_2022 ",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
index ac8533e9e..6556c8546 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -71,7 +71,7 @@ def split_callback(option, opt, value, parser):
 parser.add_option("--parajobs", dest="parajobs", action='store_true', default=False,
                   help="Submit jobs parametrically")
 
-parser.add_option("--config", dest="config", type='string', default='scripts/config_2022.json',
+parser.add_option("--config", dest="config", type='string', default='scripts/config_2022_postEE.json',
                   help="Config file")
 
 parser.add_option("--list_backup", dest="slbackupname", type='string', default='prevlist',
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
index 9b7e16f7c..666b20780 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -71,7 +71,7 @@ def split_callback(option, opt, value, parser):
 parser.add_option("--parajobs", dest="parajobs", action='store_true', default=False,
                   help="Submit jobs parametrically")
 
-parser.add_option("--config", dest="config", type='string', default='scripts/config_2022.json',
+parser.add_option("--config", dest="config", type='string', default='scripts/config_2022_preEE.json',
                   help="Config file")
 
 parser.add_option("--list_backup", dest="slbackupname", type='string', default='prevlist',

From 084d6b7d4da5285dfbe68961ff61eec293cacc19 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 5 Jul 2023 13:26:09 +0100
Subject: [PATCH 06/50] Other fix in 2022 py files

---
 Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py | 2 +-
 Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
index 6556c8546..3216344f4 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -124,7 +124,7 @@ def getParaJobSubmit(N):
         flatjsonlist.append("^%(scale)s_hi^%(scale)s_lo"%vars())
         flatjsonlistdysig.append("^%(scale)s_hi^%(scale)s_lo"%vars())
 
-CONFIG='scripts/config_2022.json'
+CONFIG='scripts/config_2022_postEE.json'
 if options.config != '': CONFIG = options.config
 
 n_channels=1
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
index 666b20780..22a294e59 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -124,7 +124,7 @@ def getParaJobSubmit(N):
         flatjsonlist.append("^%(scale)s_hi^%(scale)s_lo"%vars())
         flatjsonlistdysig.append("^%(scale)s_hi^%(scale)s_lo"%vars())
 
-CONFIG='scripts/config_2022.json'
+CONFIG='scripts/config_2022_preEE.json'
 if options.config != '': CONFIG = options.config
 
 n_channels=1

From 2dc6fda9c7f0d0a8fa5e3899d0cb70563bc7b351 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 5 Jul 2023 16:22:48 +0100
Subject: [PATCH 07/50] Fix accidental space

---
 Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json | 2 +-
 Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
index 1f19a3ac2..37a15d61b 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/vols/cms/eb921/output/tt_2022 ",
+    "output_folder" : "/vols/cms/eb921/output/tt_2022",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
index bffd05e06..9a29def70 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/vols/cms/eb921/output/tt_2022 ",
+    "output_folder" : "/vols/cms/eb921/output/tt_2022",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",

From 43e3260a2056ca1db5a16c581991041a976c6934 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 6 Jul 2023 11:29:08 +0100
Subject: [PATCH 08/50] Introduce era::data_2022 in files part 1

---
 Analysis/HiggsTauTauRun2/src/BTagCheck.cc     | 30 ++++++++++++-------
 .../src/BTagWeightLegacyRun2.cc               |  9 +++++-
 .../HiggsTauTauRun2/src/BTagWeightRun2.cc     | 24 +++++++++------
 3 files changed, 43 insertions(+), 20 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/src/BTagCheck.cc b/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
index 4d9a792ec..78311e46b 100644
--- a/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
+++ b/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
@@ -92,8 +92,10 @@ namespace ic {
     else if(era_ == era::data_2017UL && use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL17_v3.csv";
     else if(era_ == era::data_2017  && !use_deep_csv_) csv_file_path = "./input/btag_sf/CSVv2_94XSF_V2_B_F.csv";
     else if((era_ == era::data_2018 || era_ == era::data_2018UL) && use_deep_csv_) csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";
+    else if((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_csv_) csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";
     else if(era_ == era::data_2018 && use_deep_jet_) csv_file_path = "./input/btag_sf/DeepJet_102XSF_V1.csv";
     else if(era_ == era::data_2018UL && use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL18_v2.csv"; 
+    else if((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)&& use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL18_v2.csv";
     /* calib  = new const BTagCalibration("csvv2",csv_file_path); */
     if (!use_deep_csv_) calib  = new const BTagCalibration("csvv2",csv_file_path);
     else if (use_deep_csv_) calib  = new const BTagCalibration("deepcsv",csv_file_path);
@@ -108,7 +110,7 @@ namespace ic {
     reader_mujets->load(*calib, BTagEntry::FLAV_B,"mujets");
     reader_mujets->load(*calib, BTagEntry::FLAV_C,"mujets");
     reader_mujets->load(*calib, BTagEntry::FLAV_UDSG,"mujets");
-    if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL){
+    if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
       reader_comb->load(*calib, BTagEntry::FLAV_B,"comb");
       reader_comb->load(*calib, BTagEntry::FLAV_C,"comb");
       reader_comb->load(*calib, BTagEntry::FLAV_UDSG,"comb");
@@ -138,7 +140,7 @@ namespace ic {
             iso_1 = PF03EAIsolationVal(elec, eventInfo->jet_rho());
         else
             iso_1 = PF03IsolationVal(elec, 0.5, 0);
-        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL )){
+        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE)){
           iso_2 = tau->GetTauID("byTightIsolationMVArun2v1DBoldDMwLT");
         } else if (strategy_ == strategy::cpsummer17 || strategy_ == strategy::cpdecays17 || strategy_ == strategy::cpdecays18) { 
           iso_1 = PF03EAIsolationVal(elec, eventInfo->jet_rho()); //lepton_rho
@@ -165,7 +167,7 @@ namespace ic {
         if(event->Exists("extra_muon_veto")) extramuon_veto_ = event->Get<bool>("extra_muon_veto");
         Muon const* muon  = dynamic_cast<Muon const*>(lep1);
         Tau const* tau = dynamic_cast<Tau const*>(lep2);
-        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL )){
+        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE)){
           iso_1 = PF03IsolationVal(muon, 0.5, 0);
           iso_2 = tau->GetTauID("byTightIsolationMVArun2v1DBoldDMwLT");
         } else if (strategy_ == strategy::cpsummer17 || strategy_ == strategy::cpdecays17 || strategy_ == strategy::cpdecays18) {
@@ -197,19 +199,19 @@ namespace ic {
             iso_1 = PF03EAIsolationVal(elec, eventInfo->jet_rho());
         else
             iso_1 = PF03IsolationVal(elec, 0.5, 0);
-        if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) iso_1 = PF03EAIsolationVal(elec, eventInfo->jet_rho()); //lepton_rho
-        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL)){
+        if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) iso_1 = PF03EAIsolationVal(elec, eventInfo->jet_rho()); //lepton_rho
+        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE)){
           iso_2 = PF03IsolationVal(muon, 0.5, 0);
         } else iso_2 = PF04IsolationVal(muon, 0.5, 0);
         if(era_ == era::data_2015 && iso_1<0.15&&iso_2<0.15&&os>0) pass_presel=true;
-        if((era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) && iso_1<0.2&&iso_2<0.15&&os>0) pass_presel=true;
+        if((era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && iso_1<0.2&&iso_2<0.15&&os>0) pass_presel=true;
     }
     if(channel_ == channel::tt) {
         if(event->Exists("extra_elec_veto")) extraelec_veto_ = event->Get<bool>("extra_elec_veto");
         if(event->Exists("extra_muon_veto")) extramuon_veto_ = event->Get<bool>("extra_muon_veto");
         Tau  const* tau1  = dynamic_cast<Tau const*>(lep1);
         Tau const* tau2 = dynamic_cast<Tau const*>(lep2);
-        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL)){
+        if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE)){
           iso_1 = tau1->GetTauID("byVTightIsolationMVArun2v1DBoldDMwLT");
           iso_2 = tau2->GetTauID("byVTightIsolationMVArun2v1DBoldDMwLT");
         } else if (strategy_ == strategy::cpsummer17 || strategy_ == strategy::cpdecays17 || strategy_ == strategy::cpdecays18) {
@@ -242,7 +244,7 @@ namespace ic {
     wt = eventInfo->total_weight();
     std::vector<PFJet*> embed_jets = event->GetPtrVec<PFJet>(jet_label_);
     double eta_cut = 2.4;
-    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) eta_cut = 2.5;
+    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) eta_cut = 2.5;
     ic::erase_if(embed_jets,!boost::bind(MinPtMaxEta, _1, 20.0, eta_cut));
     std::vector<GenJet*> gen_jets;
     if(!do_legacy_){
@@ -297,6 +299,10 @@ namespace ic {
           if (wp_to_check_ == "tight") tight_wp = 0.4184; // medium deepCSV wp
           else if (wp_to_check_ == "loose") tight_wp = 0.1241; // loose deepCSV wp
         }
+        else if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_csv_){
+          if (wp_to_check_ == "tight") tight_wp = 0.4184; // medium deepCSV wp
+          else if (wp_to_check_ == "loose") tight_wp = 0.1241; // loose deepCSV wp
+        }
 
         else if (era_ == era::data_2018  && use_deep_jet_) tight_wp = 0.2770; //medium deepJet wp
 
@@ -316,8 +322,12 @@ namespace ic {
 	  if (wp_to_check_ == "tight") tight_wp = 0.2783; // medium deepJet wp
 	  else if (wp_to_check_ == "loose") tight_wp = 0.0490; // loose deepJet wp
         }
+	else if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_jet_) {
+	  if (wp_to_check_ == "tight") tight_wp = 0.2783; // medium deepJet wp
+	  else if (wp_to_check_ == "loose") tight_wp = 0.0490; // loose deepJet wp
+        }
         if(jet_flavour == 5){
-          if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL)){
+          if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE)){
             sf = reader_mujets->eval_auto_bounds("central",BTagEntry::FLAV_B, eta, pt);
           } else sf = reader_comb->eval_auto_bounds("central",BTagEntry::FLAV_B, eta, pt);
           // std::cout << "sf for b tag jet: " << sf << std::endl;
@@ -329,7 +339,7 @@ namespace ic {
           }
         } else if(jet_flavour == 4){
           hists_->Fill("NTot_cflav",pt,eta,wt);
-          if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL)){
+          if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE)){
             sf = reader_mujets->eval_auto_bounds("central",BTagEntry::FLAV_C, eta, pt);
           } else  sf = reader_comb->eval_auto_bounds("central",BTagEntry::FLAV_C, eta, pt);
           if(gen_match) hists_->Fill("NTot_cflav_genmatch",pt,fabs(eta),wt);
diff --git a/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc b/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc
index 87e3fc50f..2acded7fd 100644
--- a/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc
+++ b/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc
@@ -45,11 +45,13 @@ namespace ic {
 	  // not properly set up yet
 	  //else if (era_==era::data_2017UL && use_deep_jet_) csv_file_path = "./input/btag_sf/DeepCSV_94XSF_V4_B_F.csv";
       else if (era_==era::data_2018 && use_deep_csv_) csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";
+      else if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE ) && use_deep_csv_) csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";
 
       else if (era_ == era::data_2016UL_preVFP && use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL16preVFP_v2.csv";
       else if (era_ == era::data_2016UL_postVFP && use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL16postVFP_v3.csv";
       else if (era_ == era::data_2017UL && use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL17_v3.csv";
       else if (era_ == era::data_2018UL && use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL18_v2.csv"; 
+      else if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE ) && use_deep_jet_) csv_file_path = "./input/btag_sf/wp_deepJet_106XUL18_v2.csv";
       
 	  if (!use_deep_csv_) calib  = new const BTagCalibration("csvv2",csv_file_path);
       else if (use_deep_csv_) calib  = new const BTagCalibration("deepcsv",csv_file_path);
@@ -75,7 +77,8 @@ namespace ic {
   int BTagWeightLegacyRun2::Execute(TreeEvent *event) {
     std::vector<PFJet*> embed_jets = event->GetPtrVec<PFJet>(jet_label_);
     double eta_cut = 2.4;
-    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) eta_cut = 2.5;
+    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL 
+    || era_==era::data_2022_preEE || era_== era::data_2022_postEE) eta_cut = 2.5;
     ic::erase_if(embed_jets,!boost::bind(MinPtMaxEta, _1, 20.0, eta_cut));
     std::vector<double> btag_evt_weight = EventReweighting(embed_jets);
     event->ForceAdd("btag_evt_weight"+add_name_, btag_evt_weight[0]);
@@ -215,6 +218,10 @@ namespace ic {
         tight_wp = 0.2783; // medium deepJet wp
         loose_wp = 0.0490; // loose deepJet wp
       }
+      else if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE )&& use_deep_jet_){
+        tight_wp = 0.2783; // medium deepJet wp
+        loose_wp = 0.0490; // loose deepJet wp
+      }      
       for (unsigned j = 0; j < sf_tight.size(); j++) {
         double p_mc = 1.;
         double p_data = 1.;
diff --git a/Analysis/HiggsTauTauRun2/src/BTagWeightRun2.cc b/Analysis/HiggsTauTauRun2/src/BTagWeightRun2.cc
index a13b87ff3..bd1adac5b 100644
--- a/Analysis/HiggsTauTauRun2/src/BTagWeightRun2.cc
+++ b/Analysis/HiggsTauTauRun2/src/BTagWeightRun2.cc
@@ -22,7 +22,7 @@ namespace ic {
 
   int BTagWeightRun2::PreAnalysis() {
 
-    if(era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) {
+    if(era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
 
       std::string name = "btag_calib_promotedemote";
       if(ProductExists(name) && ProductExists(name+"_reader_incl") && ProductExists(name+"_reader_comb")){
@@ -38,8 +38,10 @@ namespace ic {
         else if ((era_==era::data_2017 || era_ == era::data_2017UL) && !use_deep_csv_ && !use_deep_jet_) csv_file_path = "./input/btag_sf/CSVv2_94XSF_V2_B_F.csv";
         else if ((era_==era::data_2018 || era_ == era::data_2018UL) && use_deep_csv_)  csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";
         else if ((era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP)  && use_deep_jet_)  csv_file_path = "./input/btag_sf/DeepJet_2016LegacySF_V1.csv";
+        else if ((era_==era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_csv_)  csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";        
         else if ((era_==era::data_2017 || era_ == era::data_2017UL) && use_deep_jet_)  csv_file_path = "./input/btag_sf/DeepFlavour_94XSF_V4_B_F.csv";
         else if ((era_==era::data_2018 || era_ == era::data_2018UL) && use_deep_jet_)  csv_file_path = "./input/btag_sf/DeepJet_102XSF_V2.csv";
+        else if ((era_==era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_jet_)  csv_file_path = "./input/btag_sf/DeepJet_102XSF_V2.csv";
   
         if (!use_deep_csv_) calib  = new const BTagCalibration("csvv2",csv_file_path);
         else if (use_deep_csv_) calib  = new const BTagCalibration("deepcsv",csv_file_path);
@@ -69,12 +71,14 @@ namespace ic {
       else if ((era_==era::data_2017 || era_ == era::data_2017UL) && use_deep_csv_) csv_file_path = "./input/btag_sf/DeepCSV_94XSF_V4_B_F.csv";
       else if ((era_==era::data_2017 || era_ == era::data_2017UL) && !use_deep_csv_) csv_file_path = "./input/btag_sf/CSVv2_94XSF_V2_B_F.csv";
       else if ((era_==era::data_2018 || era_ == era::data_2018UL) && use_deep_csv_) csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";
+      else if ((era_==era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_csv_) csv_file_path = "./input/btag_sf/DeepCSV_102XSF_V1.csv";
+
       if (!use_deep_csv_) calib  = new const BTagCalibration("csvv2",csv_file_path);
       else if (use_deep_csv_) calib  = new const BTagCalibration("deepcsv",csv_file_path);
-      if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL){
+      if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
         reader_comb = new BTagCalibrationReader(BTagEntry::OP_MEDIUM, "central",{"up","down"});
       }
-      if(channel_ != channel::tt || era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL){
+      if(channel_ != channel::tt || era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
         reader_incl = new BTagCalibrationReader(BTagEntry::OP_MEDIUM, "central",{"up","down"});
         reader_mujets = new BTagCalibrationReader(BTagEntry::OP_MEDIUM, "central",{"up","down"});
       } else {
@@ -88,7 +92,7 @@ namespace ic {
       reader_mujets->load(*calib,BTagEntry::FLAV_B,"mujets");
       reader_mujets->load(*calib,BTagEntry::FLAV_C,"mujets");
       reader_mujets->load(*calib,BTagEntry::FLAV_UDSG,"mujets");
-      if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL){
+      if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
         reader_comb->load(*calib,BTagEntry::FLAV_B,"comb");
         reader_comb->load(*calib,BTagEntry::FLAV_C,"comb");
         reader_comb->load(*calib,BTagEntry::FLAV_UDSG,"comb");
@@ -105,7 +109,7 @@ namespace ic {
   int BTagWeightRun2::Execute(TreeEvent *event) {
     std::vector<PFJet*> embed_jets = event->GetPtrVec<PFJet>(jet_label_);
     double eta_cut = 2.4;
-    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) eta_cut = 2.5;
+    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) eta_cut = 2.5;
     ic::erase_if(embed_jets,!boost::bind(MinPtMaxEta, _1, 20.0, eta_cut));
     if (!do_reshape_){
       std::map<std::size_t, bool> retag_result = ReTag(embed_jets, btag_mode_, bfake_mode_);
@@ -257,7 +261,7 @@ namespace ic {
         } else {
          sf = reader_mujets->eval_auto_bounds("central",BTagEntry::FLAV_B, eta, pt);
         }
-      } else if(jet_flavour == 5 && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)){
+      } else if(jet_flavour == 5 && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)){
         if(btag_mode == 2){ 
          sf = reader_comb->eval_auto_bounds("up",BTagEntry::FLAV_B, eta, pt);
         } else if(btag_mode == 1){
@@ -273,7 +277,7 @@ namespace ic {
         } else {
          sf = reader_mujets->eval_auto_bounds("central",BTagEntry::FLAV_C, eta, pt);
        }
-      } else if(jet_flavour == 4 && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)){
+      } else if(jet_flavour == 4 && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)){
         if(btag_mode == 2){ 
          sf = reader_comb->eval_auto_bounds("up",BTagEntry::FLAV_C, eta, pt);
         } else if(btag_mode == 1){
@@ -307,14 +311,16 @@ namespace ic {
         std::cout << "-- scale factor: " << sf << std::endl;
       }
       bool passtag;
-      if(channel_ != channel::tt || era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL){
+      if(channel_ != channel::tt || era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
         double tight_wp = 0.8;
         if((era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) && !use_deep_csv_ && !use_deep_jet_) tight_wp = 0.8484;
         else if((era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) && use_deep_csv_) tight_wp = 0.6321;
         else if((era_==era::data_2017 || era_ == era::data_2017UL) && use_deep_csv_) tight_wp = 0.4941;
         else if((era_==era::data_2017 || era_ == era::data_2017UL) && !use_deep_csv_ && !use_deep_jet_) tight_wp = 0.8838;
         else if((era_==era::data_2018 || era_ == era::data_2018UL)&& use_deep_csv_) tight_wp = 0.4184;
-        else if((era_==era::data_2018 || era_ == era::data_2018UL) && use_deep_jet_) tight_wp = 0.2770;
+        else if((era_==era::data_2022_preEE || era_ == era::data_2022_postEE)&& use_deep_csv_) tight_wp = 0.4184;
+        else if((era_==era::data_2018 || era_ == era::data_2018UL) && use_deep_jet_) tight_wp = 0.2770;        
+        else if((era_==era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_jet_) tight_wp = 0.2770;        
         else if((era_==era::data_2017 || era_ == era::data_2017UL) && use_deep_jet_) tight_wp = 0.3033;
         else if((era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) && use_deep_jet_) tight_wp = 0.3093;
         if (!use_deep_csv_ && !use_deep_jet_) {

From 58998c515107fbc6485df9bc5140a77aaf43ba05 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 6 Jul 2023 11:54:28 +0100
Subject: [PATCH 09/50] Introduce era::data_2022 in files part 2

---
 Analysis/HiggsTauTauRun2/src/HTTCategories.cc | 17 ++++++++--
 .../HiggsTauTauRun2/src/HTTEventClassifier.cc |  6 ++++
 .../src/HTTFakeFactorWeights.cc               | 32 +++++++++++++++++--
 .../HiggsTauTauRun2/src/HTTGenAnalysis.cc     |  1 +
 4 files changed, 50 insertions(+), 6 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/src/HTTCategories.cc b/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
index dd699b226..d3d9b620a 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
@@ -73,7 +73,8 @@ namespace ic {
     if(era_ == era::data_2016 || era_ == era::data_2017 || era_ == era::data_2018){ 
          MVADM2017 = "MVADM2017v1";
 
-    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL){ 
+    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL
+    || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){ 
          MVADM2017 = "MVADM2017v2";
     } else {
          MVADM2017 = " ";
@@ -1798,7 +1799,8 @@ namespace ic {
     if(era_ == era::data_2016 || era_ == era::data_2017 || era_ == era::data_2018){ 
          MVADM2017 = "MVADM2017v1";
 
-    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL){ 
+    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL
+    || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){ 
          MVADM2017 = "MVADM2017v2";
     } else {
          MVADM2017 = " ";
@@ -2653,7 +2655,8 @@ namespace ic {
     std::vector<PFJet*> prebjets = lowpt_jets;
 
     double eta_cut = 2.4;
-    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) eta_cut = 2.5;
+    if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL
+    || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) eta_cut = 2.5;
     ic::erase_if(prebjets,!boost::bind(MinPtMaxEta, _1, 20.0, eta_cut));
     n_prebjets_ = prebjets.size();
     std::vector<PFJet*> bjets = prebjets;
@@ -2692,6 +2695,14 @@ namespace ic {
 
       deepjet_wp = 0.2783;
     }
+    if (era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+      btag_wp = 0.4184;
+      loose_btag_wp = 0.1241;
+      btag_label = "pfDeepCSVJetTags:probb";
+      btag_label_extra = "pfDeepCSVJetTags:probbb";
+
+      deepjet_wp = 0.2783;
+    }    
     if (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) {
       btag_wp = 0.6321;
       loose_btag_wp = 0.2217;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTEventClassifier.cc b/Analysis/HiggsTauTauRun2/src/HTTEventClassifier.cc
index bc3feb301..909ea5ef4 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTEventClassifier.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTEventClassifier.cc
@@ -72,6 +72,12 @@ namespace ic {
       filename_odd  = (std::string)getenv("CMSSW_BASE") +
           "/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/input/MVA/multi_fold0_sm_tt_tauspinner_2018_xgb.xml"; // apply to odd
     }
+    else if (era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+      filename_even = (std::string)getenv("CMSSW_BASE") +
+          "/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/input/MVA/multi_fold1_sm_tt_tauspinner_2018_xgb.xml"; // apply to even here
+      filename_odd  = (std::string)getenv("CMSSW_BASE") +
+          "/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/input/MVA/multi_fold0_sm_tt_tauspinner_2018_xgb.xml"; // apply to odd
+    }    
 
     reader_even_->AddVariable( "jdeta",      & var0_ );
     reader_even_->AddVariable( "jpt_1",      & var1_ );
diff --git a/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc b/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc
index c14008c3c..e37460ae7 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc
@@ -34,7 +34,8 @@ namespace ic {
     if(era_ == era::data_2016 || era_ == era::data_2017 || era_ == era::data_2018){ 
          MVADM2017 = "MVADM2017v1";
 
-    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL){ 
+    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL
+    || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){ 
         MVADM2017 = "MVADM2017v2";
     } else {
         MVADM2017 = " ";
@@ -107,6 +108,10 @@ namespace ic {
         if(era_ == era::data_2018) mssm_file_ = "input/fake_factors/fakefactors_ws_tt_mssm_2018_v3.root";
         if(era_ == era::data_2018UL) mssm_file_ = "input/fake_factors/fakefactors_ws_tt_UL_PFMET_2018.root";
       }
+      if(strategy_==strategy::cpdecays18) { //temporary
+        if(era_ == era::data_2022_preEE) mssm_file_ = "input/fake_factors/fakefactors_ws_tt_mssm_2018_v3.root";
+        if(era_ == era::data_2022_postEE) mssm_file_ = "input/fake_factors/fakefactors_ws_tt_UL_PFMET_2018.root";
+      }      
       TFile f_mssm((baseDir+"UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/"+mssm_file_).c_str());
 
       ff_ws_mssm_ = std::shared_ptr<RooWorkspace>((RooWorkspace*)gDirectory->Get("w"));
@@ -221,6 +226,10 @@ namespace ic {
         if(era_ == era::data_2018) mssm_file_ = "input/fake_factors/fakefactors_ws_mt_mssm_2018_v6.root";
         if(era_ == era::data_2018UL) mssm_file_ = "input/fake_factors/fakefactors_ws_mt_UL_2018.root";
       }
+      if(strategy_==strategy::cpdecays18) { //temporary
+        if(era_ == era::data_2022_preEE) mssm_file_ = "input/fake_factors/fakefactors_ws_mt_mssm_2018_v6.root";
+        if(era_ == era::data_2022_postEE) mssm_file_ = "input/fake_factors/fakefactors_ws_mt_UL_2018.root";
+      }      
 
       TFile f_mssm((baseDir+"UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/"+mssm_file_).c_str());
 
@@ -350,6 +359,10 @@ namespace ic {
         if(era_ == era::data_2018) mssm_file_ = "input/fake_factors/fakefactors_ws_et_mssm_2018_v6.root";
         if(era_ == era::data_2018UL) mssm_file_ = "input/fake_factors/fakefactors_ws_et_UL_2018.root";
       }
+      if(strategy_==strategy::cpdecays18) { //temporary
+        if(era_ == era::data_2022_preEE) mssm_file_ = "input/fake_factors/fakefactors_ws_et_mssm_2018_v6.root";
+        if(era_ == era::data_2022_postEE) mssm_file_ = "input/fake_factors/fakefactors_ws_et_UL_2018.root";
+      }      
       TFile f_mssm((baseDir+"UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/"+mssm_file_).c_str());
 
       ff_ws_mssm_ = std::shared_ptr<RooWorkspace>((RooWorkspace*)gDirectory->Get("w"));
@@ -524,7 +537,8 @@ namespace ic {
     if(era_ == era::data_2016 || era_ == era::data_2017 || era_ == era::data_2018){
 	 MVADM2017 = "MVADM2017v1";
 
-    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL){
+    } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL 
+    || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
        	MVADM2017 = "MVADM2017v2";
     } else { 
 	MVADM2017 = " ";
@@ -554,11 +568,17 @@ namespace ic {
       btag_label       = "pfDeepCSVJetTags:probb";
       btag_label_extra = "pfDeepCSVJetTags:probbb";
     } 
+    if (era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+      btag_wp          = 0.4184;
+      btag_label       = "pfDeepCSVJetTags:probb";
+      btag_label_extra = "pfDeepCSVJetTags:probbb";
+    }     
 
     auto filterBTagSumTight = [btag_label, btag_label_extra, btag_wp] (PFJet* s1) -> bool {
       return s1->GetBDiscriminator(btag_label) + s1->GetBDiscriminator(btag_label_extra) > btag_wp;
     };
-    if (era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) {
+    if (era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL
+        || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
       if (event->Exists("retag_result")) {
         auto const& retag_result = event->Get<std::map<std::size_t,bool>>("retag_result"); 
         ic::erase_if(bjets, !boost::bind(IsReBTagged, _1, retag_result));
@@ -585,6 +605,9 @@ namespace ic {
     if (era_ == era::data_2018 || era_ == era::data_2018UL) {
       deepjet_wp = 0.2770;
     }
+    if (era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+      deepjet_wp = 0.2770;
+    }    
     if (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) {
       deepjet_wp = 0.3093;
     }
@@ -875,6 +898,9 @@ namespace ic {
             } else if(era_ == era::data_2018 || era_ == era::data_2018UL) {
               if(pt_1_<33) pass_single=0.;
             }
+            else if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+              if(pt_1_<33) pass_single=0.;
+            }
             if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) pass_single=1.;
           }
 
diff --git a/Analysis/HiggsTauTauRun2/src/HTTGenAnalysis.cc b/Analysis/HiggsTauTauRun2/src/HTTGenAnalysis.cc
index 83ce4eb1e..0ea0c52bf 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTGenAnalysis.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTGenAnalysis.cc
@@ -391,6 +391,7 @@ namespace ic {
     if (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP)       csv_file_path = "./input/btag_sf/DeepJet_2016LegacySF_V1.csv";
 	    else if (era_==era::data_2017 || era_ == era::data_2017UL)  csv_file_path = "./input/btag_sf/DeepFlavour_94XSF_V4_B_F.csv";
 	    else if (era_==era::data_2018 || era_ == era::data_2018UL)  csv_file_path = "./input/btag_sf/DeepJet_102XSF_V2.csv";
+	    else if (era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)  csv_file_path = "./input/btag_sf/DeepJet_102XSF_V2.csv";
 
 	    //calib  = new const BTagCalibration("deepjet",csv_file_path);
 

From 01c111ad41119152464cca4c455ac2695fcbb3e0 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 6 Jul 2023 13:43:12 +0100
Subject: [PATCH 10/50] Introduce era::data_2022 in files part 3

---
 .../HiggsTauTauRun2/src/HTTPairGenInfo.cc     | 10 +++-
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc   | 60 ++++++++++++++++++-
 Analysis/HiggsTauTauRun2/src/HTTStitching.cc  | 18 +++---
 Analysis/HiggsTauTauRun2/src/HTTWeights.cc    | 10 ++--
 4 files changed, 79 insertions(+), 19 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc b/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc
index cdc3a9762..f7f3db469 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc
@@ -55,7 +55,7 @@ TVector3 GenIP (ic::GenParticle *h, ic::GenParticle *t) {
       }
     }
 
-    if(is_embedded_&& (channel_==channel::em || channel_==channel::et || channel_==channel::mt || channel_==channel::tt) && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)) {
+    if(is_embedded_&& (channel_==channel::em || channel_==channel::et || channel_==channel::mt || channel_==channel::tt) && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)) {
 
       // Retrieve file with TGraphs of corrections
       std::string file = "input/recoilfits/embed_fake_met_corrections.root";
@@ -75,6 +75,8 @@ TVector3 GenIP (ic::GenParticle *h, ic::GenParticle *t) {
       if(era_ == era::data_2016UL_postVFP) graph_name+="_2016UL_postVFP";
       if(era_ == era::data_2017UL) graph_name+="_2017UL";
       if(era_ == era::data_2018UL) graph_name+="_2018UL";
+      if(era_ == era::data_2022_preEE) graph_name+="_2022_preEE";
+      if(era_ == era::data_2022_postEE) graph_name+="_2022_postEE";
 
 
 
@@ -119,18 +121,22 @@ TVector3 GenIP (ic::GenParticle *h, ic::GenParticle *t) {
         if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) scale_str = "(x-y)*0.929 + y*(1.+0.005)";
         if(era_ == era::data_2017 || era_ == era::data_2017UL) scale_str = "(x-y)*0.935 + y*(1.+-0.002)";
         if(era_ == era::data_2018 || era_ == era::data_2018UL) scale_str = "(x-y)*0.885 + y*(1.+-0.004)";
+        if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) scale_str = "(x-y)*0.885 + y*(1.+-0.004)";
       } else if (channel_==channel::et){
         if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) scale_str = "(x-y)*0.966 + y*(1.+-0.003)";
         if(era_ == era::data_2017 || era_ == era::data_2017UL) scale_str = "(x-y)*0.984 + y*(1.+-0.002)";
         if(era_ == era::data_2018 || era_ == era::data_2018UL) scale_str = "(x-y)*0.954 + y*(1.+-0.007)";
+        if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) scale_str = "(x-y)*0.954 + y*(1.+-0.007)";
       } else if (channel_==channel::mt){
         if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) scale_str = "(x-y)*0.967 + y*(1.+-0.007)";
         if(era_ == era::data_2017 || era_ == era::data_2017UL) scale_str = "(x-y)*0.979 + y*(1.+-0.000)";
         if(era_ == era::data_2018 || era_ == era::data_2018UL) scale_str = "(x-y)*0.952 + y*(1.+0.001)";
+        if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) scale_str = "(x-y)*0.952 + y*(1.+0.001)";      
       } else if (channel_==channel::em){
         if(era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) scale_str = "(x-y)*1.000 + y*(1.+0.000)";
         if(era_ == era::data_2017 || era_ == era::data_2017UL) scale_str = "(x-y)*1.000 + y*(1.+0.000)";
         if(era_ == era::data_2018 || era_ == era::data_2018UL) scale_str = "(x-y)*1.000 + y*(1.+0.000)";
+        if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) scale_str = "(x-y)*1.000 + y*(1.+0.000)";      
       }
     } //else {
       //no njets bins version
@@ -218,7 +224,7 @@ TVector3 GenIP (ic::GenParticle *h, ic::GenParticle *t) {
     event->Add("gen_met_vec",neutrinos);
 
 
-    if(is_embedded_&& (channel_==channel::em || channel_==channel::et || channel_==channel::mt || channel_==channel::tt) && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)) {
+    if(is_embedded_&& (channel_==channel::em || channel_==channel::et || channel_==channel::mt || channel_==channel::tt) && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)) {
       Met *old_met = new Met(*mets);
       // up uncertainty is uncorrected met so first copy this and add to the event
       event->Add("pfMET_up", old_met);
diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index b1bb4e0cd..db46d9aa8 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -178,11 +178,13 @@ HTTSequence::HTTSequence(std::string& chan, std::string postf, Json::Value const
   if(channel_str == "zee"){
     if(era_type == era::data_2017 || era_type == era::data_2017UL) elec_pt = 28.;
     if(era_type == era::data_2018 || era_type == era::data_2018UL) elec_pt = 33.;
+    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) elec_pt = 33.;
     else elec_pt = 25.;
     elec_eta = 2.1;
   }
   if(channel_str == "zmm"){
     if(era_type == era::data_2017 || era_type == era::data_2017UL  || era_type == era::data_2018 || era_type == era::data_2018UL) muon_pt = 25.;
+    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) muon_pt = 25.;
     else muon_pt = 23.;
     muon_eta = 2.1; 
   }
@@ -400,7 +402,7 @@ void HTTSequence::BuildSequence(){
 
   HTTPrint httPrint("HTTPrint");
   if(era_type==era::data_2015 || era_type==era::data_2016  
-          || era_type == era::data_2017 || era_type == era::data_2018 || era_type == era::data_2016UL_preVFP || era_type == era::data_2016UL_postVFP || era_type == era::data_2017UL || era_type == era::data_2018UL){
+          || era_type == era::data_2017 || era_type == era::data_2018 || era_type == era::data_2016UL_preVFP || era_type == era::data_2016UL_postVFP || era_type == era::data_2017UL || era_type == era::data_2018UL || era_type == era::data_2022_preEE || era_type == era::data_2022_postEE){
     httPrint.set_muon_label(js["muons"].asString());
     httPrint.set_jet_label(jets_label);
   }
@@ -460,6 +462,10 @@ if(!is_data && js["do_gen_analysis"].asBool()){
       httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
       httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
     }
+    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
+      httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
+      httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
+    }    
 
 
   }
@@ -648,6 +654,18 @@ if(do_met_filters){
 	//met_filters.push_back("Flag_BadPFMuonDzFilter");
 	met_filters.push_back("Flag_ecalBadCalibFilter");
       }
+      if (era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) 
+      {
+        met_filters.push_back("Flag_goodVertices");
+        met_filters.push_back("Flag_globalSuperTightHalo2016Filter");
+        met_filters.push_back("Flag_HBHENoiseFilter");
+        met_filters.push_back("Flag_HBHENoiseIsoFilter");
+        met_filters.push_back("Flag_EcalDeadCellTriggerPrimitiveFilter");
+        met_filters.push_back("Flag_BadPFMuonFilter");
+        //disabled (missing filter)
+	//met_filters.push_back("Flag_BadPFMuonDzFilter");
+	met_filters.push_back("Flag_ecalBadCalibFilter");
+      }      
       bool pass_filters = true;
       for(unsigned i=0;i<met_filters.size();++i){
        pass_filters = pass_filters&& eventInfo->filter_result(met_filters.at(i));
@@ -679,6 +697,9 @@ if (era_type == era::data_2016 || era_type == era::data_2016UL_preVFP || era_typ
 } else if (era_type == era::data_2018 || era_type == era::data_2018UL) {
   jetIDFilter.set_predicate(bind(PFJetID2018, _1));
 }
+else if (era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
+  jetIDFilter.set_predicate(bind(PFJetID2018, _1));
+}
 BuildModule(jetIDFilter);
 
 // Apply loose PUJID universally
@@ -762,6 +783,11 @@ if(era_type == era::data_2018UL) {
    scalefactor_file_ggh = "input/ggh_weights/htt_scalefactors_2017_MGggh.root";
    scalefactor_file_UL = "input/scale_factors/htt_scalefactors_UL_2018.root";
 }
+if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
+   scalefactor_file = "input/scale_factors/htt_scalefactors_legacy_2018.root";
+   scalefactor_file_ggh = "input/ggh_weights/htt_scalefactors_2017_MGggh.root";
+   scalefactor_file_UL = "input/scale_factors/htt_scalefactors_UL_2018.root";
+}
 
 
 TH2F embed_pt_weights_ic;
@@ -769,6 +795,7 @@ TH2F embed_pt_weights_ic;
 if(era_type == era::data_2016 || era_type == era::data_2016UL_preVFP || era_type == era::data_2016UL_postVFP) embed_pt_weights_ic = GetFromTFile<TH2F>("input/scale_factors/embed_zmm_shifts_v2.root","/","shifts_2016");
 if(era_type == era::data_2017 || era_type == era::data_2017UL) embed_pt_weights_ic = GetFromTFile<TH2F>("input/scale_factors/embed_zmm_shifts_v2.root","/","shifts_2017");
 if(era_type == era::data_2018 || era_type == era::data_2018UL) embed_pt_weights_ic = GetFromTFile<TH2F>("input/scale_factors/embed_zmm_shifts_v2.root","/","shifts_2018");
+if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) embed_pt_weights_ic = GetFromTFile<TH2F>("input/scale_factors/embed_zmm_shifts_v2.root","/","shifts_2018");
 
 HTTWeights httWeights = HTTWeights("HTTWeights")   
  .set_channel(channel)
@@ -856,6 +883,10 @@ if(channel!=channel::tpzee&&channel!=channel::tpzmm){
       httStitching.SetWInputCrossSections(1.0,0.1522,0.0515,0.0184,0.0103);
       httStitching.SetWInputYields(82360950, 47850048, 27411802, 18297679, 9130068);
     }
+    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE){
+      httStitching.SetWInputCrossSections(1.0,0.1522,0.0515,0.0184,0.0103);
+      httStitching.SetWInputYields(82360950, 47850048, 27411802, 18297679, 9130068);
+    }    
   }
   if ((output_name.find("DY") != output_name.npos && output_name.find("JetsToLL-LO") != output_name.npos && !(output_name.find("JetsToLL-LO-10-50") != output_name.npos))){
     httStitching.set_do_dy_soup(true);
@@ -887,6 +918,10 @@ if(channel!=channel::tpzee&&channel!=channel::tpzmm){
       httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
       httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
     }
+    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
+      httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
+      httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
+    }    
   }
 
   if ((output_name.find("DYJetsToLL-NLO") != output_name.npos || output_name.find("DYJetstoLL-NLO") != output_name.npos || output_name.find("DYJetsToLL_0J-NLO") != output_name.npos|| output_name.find("DYJetsToLL_1J-NLO") != output_name.npos || output_name.find("DYJetsToLL_2J-NLO") != output_name.npos )){
@@ -907,6 +942,10 @@ if(channel!=channel::tpzee&&channel!=channel::tpzmm){
       httStitching.SetDYInputCrossSections_NLO(6404.0,5129.0,951.5,361.4);
       httStitching.SetDYInputYields_NLO(132321936, 69493624, 43156627, 13793541);
     }
+    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
+      httStitching.SetDYInputCrossSections_NLO(6404.0,5129.0,951.5,361.4);
+      httStitching.SetDYInputYields_NLO(132321936, 69493624, 43156627, 13793541);
+    }    
   }
   BuildModule(httStitching);   
 }
@@ -1050,6 +1089,10 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
       jes_input_file = "input/jec/RegroupedV2_Summer19UL18_V5_MC_UncertaintySources_AK4PFchs.txt";
       jes_input_set  = "Total";
     }
+    if (era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
+      jes_input_file = "input/jec/RegroupedV2_Summer19UL18_V5_MC_UncertaintySources_AK4PFchs.txt";
+      jes_input_set  = "Total";
+    }    
 
     
     if(alt_jes_input_set!="") jes_input_set = alt_jes_input_set;
@@ -1181,6 +1224,15 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
       cbtag_eff_alt = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_loose.root","/","btag_eff_c");
       othbtag_eff_alt = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_loose.root","/","btag_eff_oth");
 	  
+    } else if (era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
+      bbtag_eff = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_medium.root","/","btag_eff_b");
+      cbtag_eff = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_medium.root","/","btag_eff_c");
+      othbtag_eff = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_medium.root","/","btag_eff_oth");
+  
+      bbtag_eff_alt = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_loose.root","/","btag_eff_b");
+      cbtag_eff_alt = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_loose.root","/","btag_eff_c");
+      othbtag_eff_alt = GetFromTFile<TH2F>("input/btag_sf/tagging_efficiencies_deepJet_2018UL_loose.root","/","btag_eff_oth");
+	  
     }
 
     BTagWeightLegacyRun2 BTagWeight = BTagWeightLegacyRun2("BTagWeightLegacyRun2")
@@ -1340,7 +1392,8 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
   if(channel == channel::tpzmm){  
     std::function<bool(Muon const*)> muon_probe_id;
     
-    if(era_type == era::data_2017 || era_type == era::data_2017UL || era_type == era::data_2018 || era_type == era::data_2018UL){
+    if(era_type == era::data_2017 || era_type == era::data_2017UL || era_type == era::data_2018 || era_type == era::data_2018UL
+    || era_type == era::data_2022_preEE || era_type == era::data_2022_postEE){
 
         muon_probe_id = [](Muon const* m) {return MuonMedium(m); };
         std::function<bool(Muon const*)> MuonLooseID = [](Muon const* m) { return MuonLoose(m) && m->is_global(); }; 
@@ -1596,7 +1649,8 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
   } 
 
   if(channel == channel::tpzee){
-    if(era_type == era::data_2017 || era_type == era::data_2017UL || era_type == era::data_2018 || era_type == era::data_2018UL){
+    if(era_type == era::data_2017 || era_type == era::data_2017UL || era_type == era::data_2018 || era_type == era::data_2018UL
+    || era_type == era::data_2022_preEE || era_type == era::data_2022_postEE){
       std::function<bool(Electron const*)> elec_probe_id = [](Electron const* e) { return ElectronHTTIdFall17V2(e, true); };
       std::function<bool(Electron const*)> elec_tag_id = [](Electron const* e) { return ElectronHTTIdFall17V2(e, false); };
 
diff --git a/Analysis/HiggsTauTauRun2/src/HTTStitching.cc b/Analysis/HiggsTauTauRun2/src/HTTStitching.cc
index 2e65b8ec8..6986bcbb8 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTStitching.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTStitching.cc
@@ -40,7 +40,7 @@ namespace ic {
       throw;
     }
 
-    if (do_w_soup_ && era_!=era::data_2015 && era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL) {
+    if (do_w_soup_ && era_!=era::data_2015 && era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE) {
       std::cout << boost::format(param_fmt()) % "make_w_soup"      % true;
       std::cout << "nInc = " << n_inc_ << std::endl;
       w1_ = (n_inc_*f1_) / ( (n_inc_*f1_) + n1_ );
@@ -52,7 +52,7 @@ namespace ic {
       std::cout << boost::format("f3=%-9.2f  n3=%-9i  w3=%-9.2f \n") % f3_ % n3_ % w3_;
       std::cout << boost::format("f4=%-9.2f  n4=%-9i  w4=%-9.2f \n") % f4_ % n4_ % w4_;
     }
-    if (do_w_soup_ && (era_ == era::data_2015 || era_ ==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)) {
+    if (do_w_soup_ && (era_ == era::data_2015 || era_ ==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)) {
       std::cout << boost::format(param_fmt()) % "make_w_soup"      % true;
       std::cout << "nInc = " << n_inc_ << std::endl;
       f1_ = wxs1_/wxs0_;
@@ -76,7 +76,7 @@ namespace ic {
         t_gen_info_->Branch("wt", &t_wt_);
       }
     }
-    if (do_dy_soup_ && era_!=era::data_2015 && era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL) {
+    if (do_dy_soup_ && era_!=era::data_2015 && era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE) {
       std::cout << boost::format(param_fmt()) % "make_dy_soup"      % true;
       std::cout << "nInc = " << zn_inc_ << std::endl;
       zw1_ = (zn_inc_*zf1_) / ( (zn_inc_*zf1_) + zn1_ );
@@ -88,7 +88,7 @@ namespace ic {
       std::cout << boost::format("f3=%-9.2f  n3=%-9i  w3=%-9.2f \n") % zf3_ % zn3_ % zw3_;
       std::cout << boost::format("f4=%-9.2f  n4=%-9i  w4=%-9.2f \n") % zf4_ % zn4_ % zw4_;
     }
-    if (do_dy_soup_ && (era_==era::data_2015 || era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)) {
+    if (do_dy_soup_ && (era_==era::data_2015 || era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)) {
       std::cout << boost::format(param_fmt()) % "make_dy_soup"      % true;
       std::cout << "nInc = " << zn_inc_ << std::endl;
       zf1_ = zxs1_/zxs0_;
@@ -112,7 +112,7 @@ namespace ic {
         t_gen_info_->Branch("wt", &t_wt_);
       }
     }
-    if (do_dy_soup_NLO_ && (era_==era::data_2015 || era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)) {
+    if (do_dy_soup_NLO_ && (era_==era::data_2015 || era_==era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)) {
       std::cout << boost::format(param_fmt()) % "make_dy_soup_NLO"      % true;
       std::cout << "nInc = " << zn_inc_NLO_ << std::endl;
       zf0_ = zxs_0J_/zxs_inc_;
@@ -213,7 +213,7 @@ namespace ic {
     if (do_w_soup_) {
       unsigned partons = 0;
       double gen_mll = 0;
-      if((era_ != era::data_2015 && era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL) || !(event->ExistsInTree("lheParticles"))){
+      if((era_ != era::data_2015 && era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE) || !(event->ExistsInTree("lheParticles"))){
         std::vector<GenParticle*> const& parts = event->GetPtrVec<GenParticle>("genParticles");
         bool count_jets = true;
         for (unsigned i = 0; i < parts.size(); ++i) {
@@ -229,7 +229,7 @@ namespace ic {
           }
           if (id == 24) count_jets = true;
         }
-      } else if(era_ == era::data_2015 || era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) {
+      } else if(era_ == era::data_2015 || era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
         std::vector<GenParticle*> const& lhe_parts = event->GetPtrVec<GenParticle>("lheParticles");
         std::vector<GenParticle*> zll_cands;
         t_ht_=0;
@@ -261,7 +261,7 @@ namespace ic {
     if (do_dy_soup_) {
       unsigned partons = 0;
       double gen_mll = 0;
-      if((era_ != era::data_2015&&era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL) || !(event->ExistsInTree("lheParticles"))){
+      if((era_ != era::data_2015 && era_!=era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018 && era_ != era::data_2016UL_preVFP && era_ != era::data_2016UL_postVFP && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE) || !(event->ExistsInTree("lheParticles"))){
 
         std::vector<GenParticle*> const& parts = event->GetPtrVec<GenParticle>("genParticles");
         bool count_jets = true;
@@ -278,7 +278,7 @@ namespace ic {
           }
           if (id == 23) count_jets = true;
         }
-      } else if(era_ == era::data_2015 || era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL ||  era_ == era::data_2018 || era_ == era::data_2018UL){
+      } else if(era_ == era::data_2015 || era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL ||  era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
         t_ht_=0;
         std::vector<GenParticle*> const& lhe_parts = event->GetPtrVec<GenParticle>("lheParticles");
         std::vector<GenParticle*> zll_cands;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTWeights.cc b/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
index 7dd5372f0..c5bc4e83c 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
@@ -84,7 +84,7 @@ int HTTWeights::PreAnalysis() {
   if(era_ == era::data_2016 || era_ == era::data_2017 || era_ == era::data_2018){ 
        MVADM2017 = "MVADM2017v1";
 
-  } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL){ 
+  } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){ 
         MVADM2017 = "MVADM2017v2";
   } else {
         MVADM2017 = " ";
@@ -956,7 +956,7 @@ int HTTWeights::PreAnalysis() {
       	  w_ggh_->function("ggH_mg_ue_down")->functor(w_ggh_->argSet("ngenjets")));
     }
     // UL Scale Factors
-    if(scalefactor_file_UL_!="" && (era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL)){
+    if(scalefactor_file_UL_!="" && (era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)){
      
 
 
@@ -1190,7 +1190,7 @@ int HTTWeights::Execute(TreeEvent *event) {
   if(era_ == era::data_2016 || era_ == era::data_2017 || era_ == era::data_2018){ 
        MVADM2017 = "MVADM2017v1";
 
-  } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL){ 
+  } else if(era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){ 
        MVADM2017 = "MVADM2017v2";
   } else {
        MVADM2017 = " ";
@@ -2190,7 +2190,7 @@ int HTTWeights::Execute(TreeEvent *event) {
 
       double xtrg_et_sf_mvadm=1.;
 
-      if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) {
+      if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
 
         ele_xtrg = fns_["e_crosstrg_data"]->eval(args_1.data());
         if(is_embedded_) ele_xtrg_mc = fns_["e_crosstrg_embed"]->eval(args_1.data());
@@ -2329,7 +2329,7 @@ int HTTWeights::Execute(TreeEvent *event) {
       double tau_trg_mvadm11_down=1;
 
 
-      if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) {
+      if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
 
         if(e_pt<e_high_pt_cut) { // if this isn't true then we are using the single lepton trigger and therefore the weight = 1
           if(!is_embedded_) {

From b39884ed1ef07d36cfa0a10ac8e9deb7434aef70 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Mon, 10 Jul 2023 10:35:00 +0100
Subject: [PATCH 11/50] Add correct Run2 filelists tar file

---
 .../filelists/July0623_2022_filelists.tgz     | Bin 0 -> 2048000 bytes
 .../filelists/May0223_2022_filelists.tgz      | Bin 2048000 -> 0 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/filelists/July0623_2022_filelists.tgz
 delete mode 100644 Analysis/HiggsTauTauRun2/filelists/May0223_2022_filelists.tgz

diff --git a/Analysis/HiggsTauTauRun2/filelists/July0623_2022_filelists.tgz b/Analysis/HiggsTauTauRun2/filelists/July0623_2022_filelists.tgz
new file mode 100644
index 0000000000000000000000000000000000000000..fc59c1fdb3365079844465233a44055ef8e6905e
GIT binary patch
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From 5b4ace8ea3b6e76ca6586afe4af6918d4de3d1c0 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Mon, 10 Jul 2023 14:18:49 +0100
Subject: [PATCH 12/50] Add no qcd background remove option

---
 .../scripts/HiggsTauTauPlot.py                | 31 ++++++++++++++-----
 python/analysis.py                            | 18 ++++++++---
 2 files changed, 37 insertions(+), 12 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
index bc37c06f9..a1602b37f 100644
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
@@ -63,7 +63,8 @@
     "ff_ss_closure":False, "threePads":False,"auto_blind":False,
     "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
     "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
-    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False
+    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
+    "no_qcd_subtract": False
 
 }
 
@@ -397,7 +398,9 @@
 parser.add_argument("--plot_from_dc", default="", type=str,
       help="If not empty will draw plot straight from datacard")
 parser.add_argument("--v2p5", dest="v2p5", action='store_true',
-      help="Get version of DeepTau v2p5")
+      help="Get version of DeepTau v2p5"),
+parser.add_argument("--no_qcd_subtract", dest="no_qcd_subtract", action='store_true',
+    help="Do not subtract background when estimating qcd events")
 options = parser.parse_args(remaining_argv)   
 
 print 'do_unrolling = %s' % options.do_unrolling 
@@ -3367,22 +3370,30 @@ def GenerateQCD(ana, add_name='', data=[], plot='', plot_unmodified='', wt='', s
         if method == 8:
           qcd_sdb_cat = cats[options.cat]+' && '+cats['tt_qcd_norm'] 
           qcd_sdb_cat_data = cats_unmodified[options.cat]+' && '+cats_unmodified['tt_qcd_norm']
-          
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)        
+          if options.no_qcd_subtract:
+            subtract_node =None       
+          else:
+            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True) 
           num_selection = BuildCutString(wt, sel, cat_data, '!os')
           num_node = SubtractNode('ratio_num',
                        ana.SummedFactory('data', data, plot_unmodified, num_selection),
                        subtract_node)
           if options.analysis == 'mssmsummer16': tau_id_wt = 'wt_tau2_id_loose'
           else: tau_id_wt = '1'
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,False,True)
+          if options.no_qcd_subtract:
+            subtract_node =None 
+          else:
+            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,False,True)
           den_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, '!os')
           den_node = SubtractNode('ratio_den',
                        ana.SummedFactory('data', data, plot_unmodified, den_selection),
                        subtract_node)
           shape_node = None   
           full_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, OSSS)
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,get_os,True)
+          if options.no_qcd_subtract:
+            subtract_node = None
+          else:
+            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,get_os,True)
   
           ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
             ana.SummedFactory('data', data, plot_unmodified, full_selection),
@@ -4871,8 +4882,12 @@ def RawFFFromString(string):
 #  output_name = options.outputfolder+'/datacard_'+options.extra_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
   datacard_name+='_'+options.extra_name
 #else: 
-output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
-outfile = ROOT.TFile(output_name, 'RECREATE')
+if options.do_ss:
+  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'_ss.root'
+  outfile = ROOT.TFile(output_name, 'RECREATE')
+else:
+  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
+  outfile = ROOT.TFile(output_name, 'RECREATE')
     
 cats['cat'] = '('+cats[options.cat]+')*('+cats['baseline']+')'
 if options.channel=="em": cats['em_shape_cat'] = '('+cats[options.cat]+')*('+cats['loose_baseline']+')'
diff --git a/python/analysis.py b/python/analysis.py
index 52944350e..0af5d5270 100644
--- a/python/analysis.py
+++ b/python/analysis.py
@@ -318,7 +318,9 @@ def __init__(self, name, initial, subtract):
         self.subtract_node = subtract
 
     def RunSelf(self):
-        self.shape = self.initial_node.shape - self.subtract_node.shape
+        if self.subtract_node is not None:
+            self.shape = self.initial_node.shape - self.subtract_node.shape
+        else: self.shape = self.initial_node.shape
 
     def Objects(self):
         return {self.name: self.shape.hist}
@@ -327,7 +329,10 @@ def OutputPrefix(self, node=None):
         return self.name + '.subnodes'
 
     def SubNodes(self):
-        return [self.initial_node, self.subtract_node]
+        subnodes = [self.initial_node]
+        if self.subtract_node is not None:
+            subnodes.append(self.subtract_node)
+        return subnodes
 
     def AddRequests(self, manifest):
         for node in self.SubNodes():
@@ -345,7 +350,10 @@ def __init__(self, name, data, subtract, factor, qcd_shape=None, ratio_num_node=
         self.qcd_shape = qcd_shape
 
     def RunSelf(self):
-        self.shape = self.factor * (self.data_node.shape - self.subtract_node.shape)
+        if self.subtract_node is not None:
+            self.shape = self.factor * (self.data_node.shape - self.subtract_node.shape)
+        else:
+            self.shape = self.factor * self.data_node.shape
         if self.ratio_num_node is not None and self.ratio_den_node is not None:
             self.shape *= self.ratio_num_node.shape.rate / self.ratio_den_node.shape.rate
         if self.qcd_shape is not None:
@@ -358,7 +366,9 @@ def OutputPrefix(self, node=None):
         return self.name + '.subnodes'
 
     def SubNodes(self):
-        subnodes = [self.data_node, self.subtract_node]
+        subnodes = [self.data_node]
+        if self.subtract_node is not None:
+            subnodes.append(self.subtract_node)
         if self.ratio_num_node is not None and self.ratio_den_node is not None:
             subnodes.append(self.ratio_num_node)
             subnodes.append(self.ratio_den_node)

From 97a2a9cd0c263345d2bb59f8c6414a4d5b6564e7 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Mon, 10 Jul 2023 14:35:04 +0100
Subject: [PATCH 13/50] Run3 filelists

---
 .../filelists/July0623_2022_filelists.tgz     | Bin 2048000 -> 2048000 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/filelists/July0623_2022_filelists.tgz b/Analysis/HiggsTauTauRun2/filelists/July0623_2022_filelists.tgz
index fc59c1fdb3365079844465233a44055ef8e6905e..1ffa62ff971040db564f021f3a498db518be17a8 100644
GIT binary patch
delta 2281
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From dbc358a1134245bb037d07e40d26d0512334b3e0 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Mon, 10 Jul 2023 15:30:30 +0100
Subject: [PATCH 14/50] Adding trigger and process Run3 data

---
 .../scripts/config_2022_postEE.json           |  4 +-
 .../scripts/config_2022_preEE.json            |  4 +-
 .../scripts/htt_2022_postEE.py                |  8 +--
 .../HiggsTauTauRun2/scripts/htt_2022_preEE.py |  8 +--
 .../HiggsTauTauRun2/src/HTTTriggerFilter.cc   | 55 ++++++++++++++++++-
 5 files changed, 64 insertions(+), 15 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
index 37a15d61b..c8c467b11 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
@@ -1,7 +1,7 @@
 {
   "job": {
     "filelist" : "filelists/Mar31_2018_MC_124X_DYJetsToLL.dat",
-    "file_prefix" : "root://gfe02.grid.hep.ph.ic.ac.uk:1097/store/user/irandreo/May0223_Data_124X_2022-postEE/",
+    "file_prefix" : "root://gfe02.grid.hep.ph.ic.ac.uk:1097/store/user/irandreo/July0623_Data_124X_2022-postEE/",
     "max_events":   -1,
     "timings":      true,
    //"channels":     ["mt","et","tt","zmm","zee","em"],
@@ -44,7 +44,7 @@
     "filter_trg" : false,
     "do_leptonplustau" : false,
     "do_singlelepton" :true,
-    "do_singletau"    : true,
+    "do_singletau"    : false,
     "store_trigobjpt" :true,
     "tt_trg_iso_mode" : 0,
     "moriond_tau_scale" : true,
diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
index 9a29def70..7ca091520 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
@@ -1,7 +1,7 @@
 {
   "job": {
     "filelist" : "filelists/Mar31_2018_MC_124X_DYJetsToLL.dat",
-    "file_prefix" : "root://gfe02.grid.hep.ph.ic.ac.uk:1097/store/user/irandreo/May0223_Data_124X_2022-preEE/",
+    "file_prefix" : "root://gfe02.grid.hep.ph.ic.ac.uk:1097/store/user/irandreo/July0623_Data_124X_2022-preEE/",
     "max_events":   -1,
     "timings":      true,
    //"channels":     ["mt","et","tt","zmm","zee","em"],
@@ -44,7 +44,7 @@
     "filter_trg" : false,
     "do_leptonplustau" : false,
     "do_singlelepton" :true,
-    "do_singletau"    : true,
+    "do_singletau"    : false,
     "store_trigobjpt" :true,
     "tt_trg_iso_mode" : 0,
     "moriond_tau_scale" : true,
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
index 3216344f4..9eb6998c3 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -174,7 +174,7 @@ def getParaJobSubmit(N):
    temp='job:sequences:all:'+temp
    flatjsons.append(temp)
 
-FILELIST='filelists/Mar31_2018_MC_124X'
+FILELIST='filelists/July0623_2022-preEE_MC_124X'
 
 signal_mc = [ ]
 signal_vh = [ ]
@@ -231,13 +231,13 @@ def getParaJobSubmit(N):
           if 'MuonEG'+era not in data_samples: data_samples+=['MuonEG'+era]
           if 'DoubleMuon'+era not in data_samples: data_samples+=['DoubleMuon'+era]
 
-    DATAFILELIST="./filelists/May0223_2022-postEE_Data_102X"
+    DATAFILELIST="./filelists/July0623_2022-postEE_Data_102X"
 
     if options.calc_lumi:
         for sa in data_samples:
             JOB='%s_postEE_2022' % (sa)
             user='irandreo'
-            prefix='May0223_Data_124X_2022-postEE'
+            prefix='July0623_Data_124X_2022-postEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true,\"lumi_mask_only\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 500 
@@ -257,7 +257,7 @@ def getParaJobSubmit(N):
         for sa in data_samples:
             JOB='%s_postEE_2022' % (sa)
             user='irandreo'
-            prefix='May0223_Data_124X_2022-postEE'
+            prefix='July0623_Data_124X_2022-postEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[],\"zmm\":[],\"zee\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 30
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
index 22a294e59..f5c2d2116 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -174,7 +174,7 @@ def getParaJobSubmit(N):
    temp='job:sequences:all:'+temp
    flatjsons.append(temp)
 
-FILELIST='filelists/Mar31_2018_MC_124X'
+FILELIST='filelists/July0623_2022-preEE_MC_124X'
 
 signal_mc = [ ]
 signal_vh = [ ]
@@ -231,13 +231,13 @@ def getParaJobSubmit(N):
           if 'MuonEG'+era not in data_samples: data_samples+=['MuonEG'+era]
           if 'DoubleMuon'+era not in data_samples: data_samples+=['DoubleMuon'+era]
 
-    DATAFILELIST="./filelists/May0223_2022-preEE_Data_102X"
+    DATAFILELIST="./filelists/July0623_2022-preEE_Data_102X"
 
     if options.calc_lumi:
         for sa in data_samples:
             JOB='%s_preEE_2022' % (sa)
             user='irandreo'
-            prefix='May0223_Data_124X_2022-preEE'
+            prefix='July0623_Data_124X_2022-preEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true,\"lumi_mask_only\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 500 
@@ -257,7 +257,7 @@ def getParaJobSubmit(N):
         for sa in data_samples:
             JOB='%s_preEE_2022' % (sa)
             user='irandreo'
-            prefix='May0223_Data_124X_2022-preEE'
+            prefix='July0623_Data_124X_2022-preEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[],\"zmm\":[],\"zee\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 30
diff --git a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
index 38e23c8c8..eda0ecf5e 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
@@ -383,7 +383,7 @@ namespace ic {
           //subleading from following (but contains leading as well)
           alt_jetleg2_filter = "hltMatchedVBFTwoPFJets2CrossCleanedFromDoubleLooseChargedIsoPFTau20"; 
         }
-        if (run >= 317509) {
+        if (run >= 317509 && run < 355100) {
           trig_obj_label = "triggerObjectsDoubleMediumIsoTauHPS35";
           leg1_filter = "hltHpsDoublePFTau35TrackPt1MediumChargedIsolationDz02Reg";
           leg2_filter = "hltHpsDoublePFTau35TrackPt1MediumChargedIsolationDz02Reg";
@@ -394,6 +394,17 @@ namespace ic {
           //subleading from following (but contains leading as well)
           alt_jetleg2_filter = "hltMatchedVBFTwoPFJets2CrossCleanedFromDoubleLooseChargedIsoPFTauHPS20"; 
         }
+        if (run >= 355100) {
+          trig_obj_label = "triggerObjectsDoubleMediumDeepPFTauHPS35";
+          leg1_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
+          leg2_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
+          alt_trig_obj_label_3 = "triggerObjectsDoubleMediumDeepPFTauHPS35";
+          alt_leg1_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          alt_leg2_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          alt_jetleg1_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet75"; // leading 
+          //subleading from following (but contains leading as well)
+          alt_jetleg2_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet60"; 
+        }
       }
       
       //single tau trigger  
@@ -556,7 +567,7 @@ namespace ic {
           alt_monitoring_17_leg1_filter_2 = "hltL3crIsoL1sBigOrMuXXerIsoTauYYerL1f0L2f10QL3f24QL3trkIsoFiltered0p07";
           alt_monitoring_17_leg2_filter_2 = "hltSelectedPFTau35TrackPt1TightChargedIsolationL1HLTMatchedReg";
           
-        } else if (era_ == era::data_2018 || era_ == era::data_2018UL) {
+        } else if (era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
           alt_trig_obj_label = "triggerObjectsIsoMu24";
           alt_leg1_filter =  "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07";
           alt_trk_trig_obj_label = "triggerObjectsIsoMu27";
@@ -632,7 +643,7 @@ namespace ic {
              alt_leg1_filter_2=leg1_filter;
              alt_leg2_filter_2=leg1_filter;
           }
-        } else if (era_ == era::data_2018 || era_ == era::data_2018UL) {
+        } else if (era_ == era::data_2018 || era_ == era::data_2018UL ) {
             trig_obj_label = "triggerObjectsDoubleMediumIsoTauHPS35"; //HPS only
             leg1_filter = "hltHpsDoublePFTau35TrackPt1MediumChargedIsolationDz02Reg";
             leg2_filter = "hltHpsDoublePFTau35TrackPt1MediumChargedIsolationDz02Reg";
@@ -650,6 +661,16 @@ namespace ic {
                alt_leg1_filter_2=leg1_filter;
                alt_leg2_filter_2=leg1_filter;
             }
+        } else if ( era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+          trig_obj_label = "triggerObjectsDoubleMediumDeepPFTauHPS35";
+          leg1_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
+          leg2_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
+          alt_trig_obj_label_3 = "triggerObjectsDoubleMediumDeepPFTauHPS35";
+          alt_leg1_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          alt_leg2_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          alt_jetleg1_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet75"; // leading 
+          //subleading from following (but contains leading as well)
+          alt_jetleg2_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet60"; 
         }
       }
     }
@@ -1074,6 +1095,34 @@ namespace ic {
           else passed_vbfdoubletau = false;
         }
       }
+      if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && passed_vbfdoubletau && alt_trig_obj_label_3 != "") {
+        std::vector<TriggerObject *> alt_objs_3 = event->GetPtrVec<TriggerObject>(alt_trig_obj_label_3);  
+        std::vector<PFJet *> jets = event->GetPtrVec<PFJet>("ak4PFJetsCHS");
+        // first need to find jets with maximum mjj and cross clean from taus?
+        if (jets.size() >= 2) {
+          unsigned int i1 = 0;
+          unsigned int j1 = 0;
+          double mjj_max = 0;
+          
+          for (unsigned int ijet = 0; ijet < jets.size()-1; ++ijet){
+            for (unsigned int jjet = ijet+1; jjet < jets.size(); ++jjet){
+              double mjj_test = (jets[ijet]->vector()+jets[jjet]->vector()).M();
+
+              if (mjj_test > mjj_max){
+                mjj_max = mjj_test;
+                i1 = ijet;
+                j1 = jjet;
+              }
+            } 
+          }
+
+          // add VBF trig here, need to do jet matching
+          jetleg1_match = IsFilterMatchedWithIndex(jets[i1], alt_objs_3, alt_jetleg1_filter, 0.5).first;
+          jetleg2_match = IsFilterMatchedWithIndex(jets[j1], alt_objs_3, alt_jetleg2_filter, 0.5).first;
+          if (jetleg1_match && jetleg2_match) passed_vbfdoubletau = true;
+          else passed_vbfdoubletau = false;
+        }
+      }
     }
     event->Add("trg_doubletau", passed_doubletau);
     event->Add("trg_doubletau_mssm", (passed_doubletau&&passed_doubletau_extra));

From 843e2278970f5437c37d8193f394d186421525f1 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 11 Jul 2023 09:16:18 +0100
Subject: [PATCH 15/50] My plot compare

---
 .../scripts/compare_qcdmethods.py             | 29 +++++++++++++++++++
 python/plotting.py                            | 11 ++++---
 2 files changed, 36 insertions(+), 4 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py

diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
new file mode 100644
index 000000000..0a68e97bf
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
@@ -0,0 +1,29 @@
+import ROOT as R
+from UserCode.ICHiggsTauTau.plotting import CompareHists
+
+file_w_qcdsub_name = "../output/datacard_m_vis_inclusive_tt_2018_ss.root"
+file_wo_qcdsub_name = "../output_nosubqcd/datacard_m_vis_inclusive_nosubqcd_tt_2018_ss.root"
+
+output_folder_name = "."
+output_plotname = "QCD_ss_compare"
+
+
+file_w_qcdsub= R.TFile.Open(file_w_qcdsub_name, "READ")
+file_w_qcdsub_dir = file_w_qcdsub.Get("tt_inclusive")
+(file_w_qcdsub_dir).cd()
+# if(file_w_qcdsub.IsZombie()):
+#   print("Error")
+hist_w_qcdsub = file_w_qcdsub_dir.Get("QCD")
+
+file_wo_qcdsub = R.TFile.Open(file_wo_qcdsub_name, "READ")
+(file_wo_qcdsub_name, "READ")
+file_wo_qcdsub_dir = file_wo_qcdsub.Get("tt_inclusive")
+(file_wo_qcdsub_dir).cd()
+hist_wo_qcdsub = file_wo_qcdsub_dir.Get("QCD")
+
+
+output_file = R.TFile(output_folder_name+"/"+output_plotname+".root","RECREATE")
+c1 = R.TCanvas()
+CompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub],
+             legend_titles = ["Background Subtracted (SS)","Data Only (SS)"],title="59.7 fb^{-1} (13 TeV)", extra_pad=0.2,ratio_range="0.6,1.4",
+             x_title = "m_{#tau#tau} (GeV)", y_title = "Events/GeV",plot_name = output_plotname, output_file = output_file)
\ No newline at end of file
diff --git a/python/plotting.py b/python/plotting.py
index 91b0e14b2..594fbcd20 100644
--- a/python/plotting.py
+++ b/python/plotting.py
@@ -3362,7 +3362,8 @@ def CompareHists(hists=[],
              norm_bins=True,
              uncert_hist=None,
              uncert_title='',
-             ReweightPlot=False):
+             ReweightPlot=False,
+             output_file = None):
    
     objects=[]
     R.gROOT.SetBatch(R.kTRUE)
@@ -3519,9 +3520,9 @@ def CompareHists(hists=[],
     tot = len(hists)
     if isinstance(uncert_hist,list): tot+=len(uncert_hist)
     if tot > 4: legend = PositionedLegend(0.35,0.3,3,0.03)
-    else: legend = PositionedLegend(0.35,0.2,3,0.03)
+    else: legend = PositionedLegend(0.3,0.15,3,0.03)
     legend.SetTextFont(42)
-    legend.SetTextSize(0.040)
+    legend.SetTextSize(0.025)
     legend.SetFillColor(0)
     
 
@@ -3606,7 +3607,9 @@ def CompareHists(hists=[],
     pads[0].RedrawAxis()
     
     c1.SaveAs(plot_name+'.pdf')
-    #c1.SaveAs(plot_name+'.png')
+    c1.SaveAs(plot_name+'.png')
+    if output_file is not None:
+        output_file.WriteObject(c1, plot_name)
 
     for o in objects:
       o.IsA().Destructor(o)

From 6aec8674b5176362f9098e58bfa4376b4a48a98c Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 11 Jul 2023 09:18:13 +0100
Subject: [PATCH 16/50] Add config files and filelist

---
 .../HiggsTauTauRun2/scripts/plot_UL_2018.cfg  |   8 ++++---
 .../scripts/plot_UL_2018_nosubqcd.cfg         |  22 ++++++++++++++++++
 test/July0623_2022_filelists.tgz              | Bin 0 -> 2048000 bytes
 3 files changed, 27 insertions(+), 3 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
 create mode 100644 test/July0623_2022_filelists.tgz

diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
index 9224ed74e..a3af959ce 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
@@ -1,17 +1,19 @@
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_UL_2018.json
-folder=/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_v2/
+folder=/vols/cms/eb921/output/tt_UL_2018/
 era=UL_18
 sm_masses=""
 draw_signal_mass=""
 #ggh_masses=80,90,100,110,120,130,140,160,180,200,250,300,400,450,600,700,800,1200,1400,1500,1600,1800,2000,2600,2900,3200
 #bbh_nlo_masses=80,90,100,110,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+#ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+#bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
 year=2018
 norm_bins=True
 ratio=True
 lumi=59.7 fb^{-1} (13 TeV)
 vbf_background=False
 wp = medium
+channel = tt
+method = 8
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
new file mode 100644
index 000000000..c864791bb
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
@@ -0,0 +1,22 @@
+[Defaults]
+analysis=mssmrun2
+paramfile=scripts/params_UL_2018.json
+folder=/vols/cms/eb921/output/tt_UL_2018/
+era=UL_18
+sm_masses=""
+draw_signal_mass=""
+#ggh_masses=80,90,100,110,120,130,140,160,180,200,250,300,400,450,600,700,800,1200,1400,1500,1600,1800,2000,2600,2900,3200
+#bbh_nlo_masses=80,90,100,110,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+#ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+#bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+year=2018
+norm_bins=True
+ratio=True
+lumi=59.7 fb^{-1} (13 TeV)
+vbf_background=False
+wp = medium
+channel = tt
+method = 8
+outputfolder=output_nosubqcd
+extra_name = nosubqcd
+no_qcd_subtract= True
diff --git a/test/July0623_2022_filelists.tgz b/test/July0623_2022_filelists.tgz
new file mode 100644
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HcmV?d00001


From 86391c82e9c5a74d0e28ba4a44631a43f33eebf3 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 13 Jul 2023 14:28:32 +0100
Subject: [PATCH 17/50] Adding My Plotters

---
 .../scripts/compare_qcdmethods.py             | 138 +++++++++++++++---
 .../scripts/control_plots_tt.py               |  72 +++++----
 2 files changed, 151 insertions(+), 59 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
index 0a68e97bf..5c8fe936c 100644
--- a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
+++ b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
@@ -1,29 +1,127 @@
 import ROOT as R
 from UserCode.ICHiggsTauTau.plotting import CompareHists
+import numpy as np
 
-file_w_qcdsub_name = "../output/datacard_m_vis_inclusive_tt_2018_ss.root"
-file_wo_qcdsub_name = "../output_nosubqcd/datacard_m_vis_inclusive_nosubqcd_tt_2018_ss.root"
+file_w_qcdsub_dirname = "../output/datacard_"
+file_wo_qcdsub_dirname = "../output_nosubqcd/datacard_"
 
-output_folder_name = "."
-output_plotname = "QCD_ss_compare"
+variables = [
+  
+  ["n_jets","N_{jets}"],
+  ["pt_1","p_{T}^{#tau_{1}}"],
+  ["pt_2", "p_{T}^{#tau_{2}}"],
+  ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
+  ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
+  ["m_vis","m_{#tau#tau}"],
+  ["pt_tt", "p_{T}^{#tau#tau}"]
+
+]
+
+selnames = ["medium_vloose_medium",
+            "medium_vvvloose_medium",
+            "vloose_vvvloose_medium",
+            "medium_vloose_medium_vloose",
+            "medium_vvvloose_medium_vvvloose",
+            "vloose_vvvloose_vloose_vvvloose"
+            ]
 
+types=["SS","OppS"]
+
+output_folder_name = "."
 
-file_w_qcdsub= R.TFile.Open(file_w_qcdsub_name, "READ")
-file_w_qcdsub_dir = file_w_qcdsub.Get("tt_inclusive")
-(file_w_qcdsub_dir).cd()
-# if(file_w_qcdsub.IsZombie()):
-#   print("Error")
-hist_w_qcdsub = file_w_qcdsub_dir.Get("QCD")
+chi2file = open('chi2test.txt','w')
 
-file_wo_qcdsub = R.TFile.Open(file_wo_qcdsub_name, "READ")
-(file_wo_qcdsub_name, "READ")
-file_wo_qcdsub_dir = file_wo_qcdsub.Get("tt_inclusive")
-(file_wo_qcdsub_dir).cd()
-hist_wo_qcdsub = file_wo_qcdsub_dir.Get("QCD")
+selnames_array = np.expand_dims(np.array(selnames,dtype = object),axis=1)
 
+for var in variables:
+  chi2file.write("----------- %s ------------ \n"% var[0])
+  ChiList = []
+  ChiList_SS = []
+  for sel in selnames:
+    for chargetype in types:
+#--------------------------------------------------------------------
+      filename = var[0]+"_inclusive_"+sel+"_tt_2018"
+      if chargetype == "SS":
+        file_w_qcdsub= R.TFile.Open(file_w_qcdsub_dirname+filename+"_ss.root", "READ")
+      else:
+        file_w_qcdsub= R.TFile.Open(file_w_qcdsub_dirname+filename+".root", "READ")
+      file_w_qcdsub_dir = file_w_qcdsub.Get("tt_inclusive")
+      (file_w_qcdsub_dir).cd()
+      hist_w_qcdsub = file_w_qcdsub_dir.Get("QCD")
+#--------------------------------------------------------------------
+      if chargetype == "SS":
+        file_wo_qcdsub = R.TFile.Open(file_wo_qcdsub_dirname+filename+"_ss.root", "READ")
+      else:
+        file_wo_qcdsub = R.TFile.Open(file_wo_qcdsub_dirname+filename+".root", "READ")
+      file_wo_qcdsub_dir = file_wo_qcdsub.Get("tt_inclusive")
+      (file_wo_qcdsub_dir).cd()
+      hist_wo_qcdsub = file_wo_qcdsub_dir.Get("QCD")
+#--------------------------------------------------------------------
+      sub_hist_w_qcdsub = file_w_qcdsub_dir.Get("data_obs")
+      tot_bkg_hist_w = file_w_qcdsub_dir.Get("total_bkg")
+      sub_hist_w_qcdsub.Add(tot_bkg_hist_w,-1)
+      sub_hist_w_qcdsub.Add(hist_w_qcdsub)
+#--------------------------------------------------------------------
+      p = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW")
+      chi2 = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2")
+      chi2NDF = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2/NDF")
+      p_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW")
+      chi2_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2")
+      chi2NDF_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2/NDF")      
+      
+      if chargetype == "SS":
+        ChiList_SS.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
+      else:
+        ChiList.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
+#--------------------------------------------------------------------      
+      output_file = R.TFile(output_folder_name+"/"+var[0]+"_"+sel+"_"+chargetype+".root","RECREATE")
+      if var[0] == "n_jets":
+        CompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub,sub_hist_w_qcdsub],
+              legend_titles = ["#splitline{Background}{Subtracted} (%s)"%chargetype,"Data Only ("+chargetype+")","OBS - Non-QCD ("+chargetype+")"],
+              title="59.7 fb^{-1} (13 TeV)", extra_pad=0.2,ratio_range="0.6,1.4",
+              x_title = var[1], y_title = "Events",plot_name = var[0]+"_"+sel+"_"+chargetype, output_file = output_file)
+      else:
+        CompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub,sub_hist_w_qcdsub],
+              legend_titles = ["#splitline{Background}{Subtracted} (%s)"%chargetype,"Data Only ("+chargetype+")","OBS - Non-QCD ("+chargetype+")"],
+              title="59.7 fb^{-1} (13 TeV)", extra_pad=0.2,ratio_range="0.6,1.4",
+              x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name = var[0]+"_"+sel+"_"+chargetype, output_file = output_file)
 
-output_file = R.TFile(output_folder_name+"/"+output_plotname+".root","RECREATE")
-c1 = R.TCanvas()
-CompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub],
-             legend_titles = ["Background Subtracted (SS)","Data Only (SS)"],title="59.7 fb^{-1} (13 TeV)", extra_pad=0.2,ratio_range="0.6,1.4",
-             x_title = "m_{#tau#tau} (GeV)", y_title = "Events/GeV",plot_name = output_plotname, output_file = output_file)
\ No newline at end of file
+#--------------------------------------------------------------------  
+      output_file.Close()
+      file_w_qcdsub.Close()
+      file_wo_qcdsub.Close()
+#--------------------------------------------------------------------      
+  ChiList_SS = np.array(ChiList_SS,dtype = object)
+  ChiList = np.array(ChiList,dtype = object)
+  ChiList = np.concatenate((selnames_array,ChiList), axis=1)
+  ChiList_SS = np.concatenate((selnames_array,ChiList_SS), axis=1)
+  ChiList = ChiList[ChiList[:,3].argsort()]
+  ChiList_SS = ChiList_SS[ChiList_SS[:,3].argsort()]
+  chi2file.write("------------ OppS ------------ \n")
+  order = 1
+  for ChiVar in ChiList:
+    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
+                                                            ChiVar[2],ChiVar[3]))
+    order+=1
+  chi2file.write("------------- SS ------------ \n")
+  order = 1
+  for ChiVar in ChiList_SS:
+    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
+                                                            ChiVar[2],ChiVar[3]))    
+    order+=1
+    
+  chi2file.write("------------ Compared to BKG------------ \n")
+  ChiList = ChiList[ChiList[:,-1].argsort()]
+  ChiList_SS = ChiList_SS[ChiList_SS[:,-1].argsort()]
+  chi2file.write("------------ OppS ------------ \n")
+  order = 1
+  for ChiVar in ChiList:
+    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
+                                                            ChiVar[5],ChiVar[6]))  
+    order+=1
+  chi2file.write("------------- SS ------------ \n")
+  order = 1
+  for ChiVar in ChiList_SS:
+    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
+                                                            ChiVar[5],ChiVar[6]))    
+    order+=1
diff --git a/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py b/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py
index 4545125c0..2e8a90b65 100644
--- a/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py
+++ b/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py
@@ -1,46 +1,40 @@
 import os
 
-years = ['2018','2017','2016']
-#years = ['2017']
-
 variables = [
 
-  'met[0,10,20,30,40,50,60,70,80,90,100,120,140,200,400]',
-  'n_jets(4,0,4)', 
-  'pt_1[40,45,50,55,60,65,70,80,90,100,120,140,200,400]',
-  'pt_2[40,45,50,55,60,65,70,80,90,100,120,140,200,400]',
-  'mt_1(30,0,300)',
-  'mt_2(30,0,300)',
-  'mt_lep(30,0,300)',
-  'm_vis(50,0,500)',
-  'met_dphi_1(20,0,3.1415927)',
-  'met_dphi_2(20,0,3.1415927)',
-  'mt_tot[50,60,70,80,100,120,140,160,180,200,250,300,350,400,500,700,900,3900]', 
-  'dphi(20,0,3.1415927)',
-  'n_deepbjets(4,0,4)', 
+  #'n_jets(4,0,4)' 
+  # 'pt_1(20,0,200)',
+  # 'pt_2(20,0,200)',
+   #'mt_1(30,0,300)'
+  # 'mt_2(30,0,300)',
+  # 'm_vis(20,0,200)',
+  # 'pt_tt(20,0,200)'
 ]
 
-
-for y in years:
-  for v in variables:
-
-    yp = y
-
-    v_tt = v
-
-
-    if y != '2018':
-      extra=' --norm_bins --extra_pad=0.4 --singletau --add_wt=\'wt_tau_trg_mssm*wt_tau_id_mssm*wt_prefire\' '
-    else:
-      extra=' --norm_bins --extra_pad=0.4 --singletau --add_wt=\'wt_tau_trg_mssm*wt_tau_id_mssm\' '
- 
-    if 'mt_tot' in v: extra='--log_y --log_x'
-
-    extra+=' --ratio_range=\"0.6,1.4\" '
- 
-    # add systematic bands
-    extra += ' --do_custom_uncerts --add_stat_to_syst --syst_tau_trg_diff="trg_syst_*" --syst_tau_id_diff="id_syst_*"  --do_ff_systs --syst_tquark="syst_ttbar_pt"  --syst_embedding_tt="syst_embed_tt" ' #--syst_tau_scale_grouped="tes_*group" '
-
-    os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_mssm_%(yp)s.cfg --method=17 --channel=tt --var=\"%(v_tt)s\"   --outputfolder=mssm_control/ %(extra)s --embedding ' % vars())
-    os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_mssm_%(yp)s.cfg --method=17 --channel=tt --var=\"%(v_tt)s\"   --outputfolder=mssm_control/ %(extra)s --datacard=mc ' % vars())
+selnames = ["medium_vloose_medium",
+            "medium_vvvloose_medium",
+            "vloose_vvvloose_medium",
+            "medium_vloose_medium_vloose",
+            "medium_vvvloose_medium_vvvloose",
+            "vloose_vvvloose_vloose_vvvloose"]
+
+for v in variables:
+  v_tt = v
+  for sel in range(0,6):
+    extra=' --ratio_range=\"0.6,1.4\" '
+    extra+= '--extra_name=%s'%selnames[sel]
+    extra += ' --tt_qcd_sel_num=%i'%sel
+
+  #if 'mt_tot' in v: extra+='--log_y --log_x'
+  
+
+  # add systematic bands
+  #extra += ' --do_custom_uncerts --add_stat_to_syst --syst_tau_trg_diff="trg_syst_*" --syst_tau_id_diff="id_syst_*"  --do_ff_systs --syst_tquark="syst_ttbar_pt"  --syst_embedding_tt="syst_embed_tt" ' #--syst_tau_scale_grouped="tes_*group" '
+    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --cfg scripts/plot_UL_2018_nosubqcd.cfg --no_qcd_subtract --var=\"%(v_tt)s\"' % vars ())
+    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --cfg scripts/plot_UL_2018.cfg --var=\"%(v_tt)s\"' % vars() )
+    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --do_ss --cfg scripts/plot_UL_2018_nosubqcd.cfg --no_qcd_subtract --var=\"%(v_tt)  s\"' % vars())
+    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --do_ss --cfg scripts/plot_UL_2018.cfg --var=\"%(v_tt)s\"' % vars() )
+  
+  #os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_UL_%(yp)s.cfg --var=\"%(v_tt)s\"   --outputfolder=controlOutput/ %(extra)s --embedding ' % vars())
+  #os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_UL_%(yp)s.cfg --var=\"%(v_tt)s\"   --outputfolder=controlOutput/ %(extra)s --datacard=mc ' % vars())
 

From ecfdb524df60f50d50872abb14eb13f3ea7f54cd Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 13 Jul 2023 14:28:53 +0100
Subject: [PATCH 18/50] Hadders for 2022

---
 .../scripts/hadd_22_postEE_output.py          | 181 ++++++++++++++++++
 .../scripts/hadd_22_preEE_output.py           | 180 +++++++++++++++++
 2 files changed, 361 insertions(+)
 create mode 100755 Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
 create mode 100755 Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py

diff --git a/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py b/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
new file mode 100755
index 000000000..1d2e99446
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
@@ -0,0 +1,181 @@
+#!/usr/bin/env python
+
+import sys
+import os
+from optparse import OptionParser
+import math
+import fnmatch
+import glob
+
+parser = OptionParser()
+
+parser.add_option("--folder", dest = "folder",
+                  help="Specify folder that contains the output to be hadded")
+parser.add_option("--ignore_nfiles", dest= "ignore", default=False, action='store_true',
+                  help="Ignore number of files per sample")
+parser.add_option("--sample_list", dest = "samplelist", default="./jobs/files_per_sample_2022_postEE.txt",
+                  help="list of files per sample you want to use for hadding")
+parser.add_option("--batch", dest= "batch", default=False, action='store_true',
+                  help="Submit as batch jobs")
+
+def list_paths(path):
+    directories = []
+    for item in os.listdir(path):
+      if os.path.isdir(os.path.join(path, item)):
+        directories.append(item)
+    return directories
+
+(options,args) = parser.parse_args()
+
+if not options.folder:
+  parser.error('No folder specified')
+
+outputf = options.folder
+samplelist = options.samplelist
+ignore = options.ignore
+batch = options.batch
+
+JOBWRAPPER      = './scripts/generate_job.sh'
+JOBSUBMIT       = './scripts/submit_ic_batch_job.sh "hep.q -l h_rt=3:0:0"'
+#JOBSUBMIT       = './scripts/submit_ic_batch_job.sh "hep.q -l h_rt=9:0:0"'
+
+
+sample_list = [
+
+          # Tau
+         'TauA_preEE',
+         'TauB_preEE',
+         'TauB_rereco_preEE',
+         'TauC_preEE',
+         'TauC_rereco_preEE',
+         'TauD_preEE',
+         'TauD_rereco_preEE',
+         'TauE_postEE',
+         'TauE_rereco_postEE',
+         'TauF_postEE',
+         'TauG_postEE',
+         
+         #MC postEE
+         
+         'DYJetsToLL-LO_postEE_postEE',
+         'GluGluHToTauTau_M125_postEE_v2_postEE',
+         'GluGluHToTauTau_M125_postEE_v3_postEE',
+         'TTTo2L2Nu_postEE',
+         'VBFHToTauTau_M125_Poisson60KeepRAW_postEE',
+         'VBFHToTauTau_M125_v2_Poisson70KeepRAW_postEE',
+         'WW_postEE_postEE',
+         'WZ_postEE_postEE',
+         'ZZ_postEE_postEE',
+         
+         #MC preEE
+         
+         'DYJetsToLL-LO_summer',
+         'GluGluHToTauTau_M125',
+         'TTTo2L2Nu',
+         'VBFHToTauTau_M125',
+         'WW',
+         'WZ',
+         'ZZ',
+         'ZZZ'
+                  
+	]
+
+
+sample_list = list(set(sample_list))
+
+out=''
+for s in sorted(sample_list): out+='    - %s\n' %s
+
+print out
+
+channel = ['tpzee','tpzmm','tt','mt','et','em','zmm','zee']
+with open("%(samplelist)s"%vars(),"r") as inf:
+  lines = inf.readlines()
+
+subdirs=['']
+subdirs+=list_paths(outputf)
+
+new_subdirs=[]
+for d in subdirs:
+  infi=os.listdir('%(outputf)s/%(d)s' % vars())
+  if infi: new_subdirs.append((d,infi))
+subdirs=new_subdirs
+
+print subdirs
+
+
+nfiles={}
+
+
+def FindMissingFiles(outf, d, samp, chan, infiles):
+  files=fnmatch.filter(infiles,'%(samp)s_2022_%(chan)s_*'%vars())
+  nums = [int(x.split('_')[-1].replace('.root','')) for x in files]
+  nums.sort()
+  res = [ele for ele in range(max(nums)+1) if ele not in nums]
+
+  if len(res) !=0:
+    print "Some files are missing for sample %(samp)s_2022_%(chan)s! in %(d)s:"%vars()
+    for x in res: print '%(samp)s_2022_%(chan)s_%(x)i.root' % vars()
+    return False
+  else:
+    return True
+
+for ind in range(0,len(lines)):
+  nfiles[lines[ind].split()[0]]=int(lines[ind].split()[1])
+for sa in sample_list:
+  remove=True
+  to_remove=[]
+  hadd_dirs=[]
+  command=''
+  if batch:
+    JOB='jobs/hadd_%s_2022.sh' % sa
+    os.system('%(JOBWRAPPER)s "" %(JOB)s' %vars())
+  for ch in channel:
+    for jsdir in subdirs:
+      sdir = jsdir[0]
+      infiles=jsdir[1]
+      if os.path.isfile('%(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_0.root'%vars()):
+        if "%(sa)s_2022"%vars() in nfiles or ignore==True:
+#          files=glob.glob('%(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_*.root'%vars())
+          no_missing_files = FindMissingFiles(outputf, sdir, sa, ch,infiles) 
+          if no_missing_files and (ignore ==True or len(fnmatch.filter(infiles,'%(sa)s_2022_%(ch)s_*'%vars())) == nfiles["%(sa)s_2022"%vars()]):
+            if not batch:  
+              print "Hadding in subdir %(sdir)s"%vars()
+              print "Hadding %(sa)s_%(ch)s in %(sdir)s"%vars()
+              os.system('hadd -f %(outputf)s/%(sdir)s/%(sa)s_%(ch)s_2022.root %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_* &> ./haddout.txt'% vars()) 
+              os.system("sed -i '/Warning in <TInterpreter::ReadRootmapFile>/d' ./haddout.txt")
+              filetext = open("./haddout.txt").read()
+              if 'Warning' in filetext or 'Error' in filetext:
+                print "Hadd had a problem:"
+                print filetext 
+                remove=False
+              else :
+                to_remove.append('rm %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_*' %vars())
+            else:
+              haddout='haddout_%s_%s_%s.txt' % (sa,ch,sdir)  
+              hadd_dirs.append((haddout, 'rm %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_*' %vars())) 
+              command+="echo \"Hadding %(sa)s_%(ch)s in %(sdir)s\"\necho \"Hadding %(sa)s_%(ch)s\"\nhadd -f %(outputf)s/%(sdir)s/%(sa)s_%(ch)s_2022.root %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_* &> ./%(haddout)s\nsed -i '/Warning in <TInterpreter::ReadRootmapFile>/d' ./%(haddout)s\n" % vars()     
+          else :
+            print "Incorrect number of files for sample %(sa)s_2022_%(ch)s! in %(sdir)s"%vars()
+            remove=False
+
+  if not batch and remove:
+    # if all channels and systematics were hadded sucsessfully then remove the input files
+    for x in to_remove: 
+      os.system(x)
+
+  if batch and command:
+    with open(JOB, "a") as file: 
+      file.write("\n%s" % command)
+      rm_command = 'y=1\n' % vars()
+      for i in hadd_dirs:
+        hadd_file  = i[0]
+        rm_command+='if [ \"$(cat %(hadd_file)s | grep -e Warning -e Error)\"  != \"\" ]; then y=0; fi\n' % vars()
+      rm_command+='if [ $y == 1 ]; then\n'
+      for i in hadd_dirs:
+        input_file = i[1]
+        rm_command+=input_file+'\n'
+      rm_command+='fi'
+      if remove: file.write("\n%s" % rm_command)
+      file.write('\nEnd of job')
+    os.system('%(JOBSUBMIT)s %(JOB)s' % vars())
diff --git a/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py b/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
new file mode 100755
index 000000000..aa4a492ae
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
@@ -0,0 +1,180 @@
+#!/usr/bin/env python
+
+import sys
+import os
+from optparse import OptionParser
+import math
+import fnmatch
+import glob
+
+parser = OptionParser()
+
+parser.add_option("--folder", dest = "folder",
+                  help="Specify folder that contains the output to be hadded")
+parser.add_option("--ignore_nfiles", dest= "ignore", default=False, action='store_true',
+                  help="Ignore number of files per sample")
+parser.add_option("--sample_list", dest = "samplelist", default="./jobs/files_per_sample_2022_preEE.txt",
+                  help="list of files per sample you want to use for hadding")
+parser.add_option("--batch", dest= "batch", default=False, action='store_true',
+                  help="Submit as batch jobs")
+
+def list_paths(path):
+    directories = []
+    for item in os.listdir(path):
+      if os.path.isdir(os.path.join(path, item)):
+        directories.append(item)
+    return directories
+
+(options,args) = parser.parse_args()
+
+if not options.folder:
+  parser.error('No folder specified')
+
+outputf = options.folder
+samplelist = options.samplelist
+ignore = options.ignore
+batch = options.batch
+
+JOBWRAPPER      = './scripts/generate_job.sh'
+JOBSUBMIT       = './scripts/submit_ic_batch_job.sh "hep.q -l h_rt=3:0:0"'
+#JOBSUBMIT       = './scripts/submit_ic_batch_job.sh "hep.q -l h_rt=9:0:0"'
+
+
+sample_list = [
+
+          # Tau
+         'TauA_preEE',
+         'TauB_preEE',
+         'TauB_rereco_preEE',
+         'TauC_preEE',
+         'TauC_rereco_preEE',
+         'TauD_preEE',
+         'TauD_rereco_preEE',
+         'TauE_postEE',
+         'TauE_rereco_postEE',
+         'TauF_postEE',
+         'TauG_postEE',
+         
+         #MC postEE
+         
+         'DYJetsToLL-LO_postEE_postEE',
+         'GluGluHToTauTau_M125_postEE_v2_postEE',
+         'GluGluHToTauTau_M125_postEE_v3_postEE',
+         'TTTo2L2Nu_postEE',
+         'VBFHToTauTau_M125_Poisson60KeepRAW_postEE',
+         'VBFHToTauTau_M125_v2_Poisson70KeepRAW_postEE',
+         'WW_postEE_postEE',
+         'WZ_postEE_postEE',
+         'ZZ_postEE_postEE',
+         
+         #MC preEE
+         
+         'DYJetsToLL-LO_summer_preEE',
+         'GluGluHToTauTau_M125_preEE',
+         'TTTo2L2Nu_preEE',
+         'VBFHToTauTau_M125_preEE',
+         'WW_preEE',
+         'WZ_preEE',
+         'ZZ_preEE',
+         'ZZZ_preEE'
+	]
+
+
+sample_list = list(set(sample_list))
+
+out=''
+for s in sorted(sample_list): out+='    - %s\n' %s
+
+print out
+
+channel = ['tpzee','tpzmm','tt','mt','et','em','zmm','zee']
+with open("%(samplelist)s"%vars(),"r") as inf:
+  lines = inf.readlines()
+
+subdirs=['']
+subdirs+=list_paths(outputf)
+
+new_subdirs=[]
+for d in subdirs:
+  infi=os.listdir('%(outputf)s/%(d)s' % vars())
+  if infi: new_subdirs.append((d,infi))
+subdirs=new_subdirs
+
+print subdirs
+
+
+nfiles={}
+
+
+def FindMissingFiles(outf, d, samp, chan, infiles):
+  files=fnmatch.filter(infiles,'%(samp)s_2022_%(chan)s_*'%vars())
+  nums = [int(x.split('_')[-1].replace('.root','')) for x in files]
+  nums.sort()
+  res = [ele for ele in range(max(nums)+1) if ele not in nums]
+
+  if len(res) !=0:
+    print "Some files are missing for sample %(samp)s_2022_%(chan)s! in %(d)s:"%vars()
+    for x in res: print '%(samp)s_2022_%(chan)s_%(x)i.root' % vars()
+    return False
+  else:
+    return True
+
+for ind in range(0,len(lines)):
+  nfiles[lines[ind].split()[0]]=int(lines[ind].split()[1])
+for sa in sample_list:
+  remove=True
+  to_remove=[]
+  hadd_dirs=[]
+  command=''
+  if batch:
+    JOB='jobs/hadd_%s_2022.sh' % sa
+    os.system('%(JOBWRAPPER)s "" %(JOB)s' %vars())
+  for ch in channel:
+    for jsdir in subdirs:
+      sdir = jsdir[0]
+      infiles=jsdir[1]
+      if os.path.isfile('%(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_0.root'%vars()):
+        if "%(sa)s_2022"%vars() in nfiles or ignore==True:
+#          files=glob.glob('%(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_*.root'%vars())
+          no_missing_files = FindMissingFiles(outputf, sdir, sa, ch,infiles) 
+          if no_missing_files and (ignore ==True or len(fnmatch.filter(infiles,'%(sa)s_2022_%(ch)s_*'%vars())) == nfiles["%(sa)s_2022"%vars()]):
+            if not batch:  
+              print "Hadding in subdir %(sdir)s"%vars()
+              print "Hadding %(sa)s_%(ch)s in %(sdir)s"%vars()
+              os.system('hadd -f %(outputf)s/%(sdir)s/%(sa)s_%(ch)s_2022.root %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_* &> ./haddout.txt'% vars()) 
+              os.system("sed -i '/Warning in <TInterpreter::ReadRootmapFile>/d' ./haddout.txt")
+              filetext = open("./haddout.txt").read()
+              if 'Warning' in filetext or 'Error' in filetext:
+                print "Hadd had a problem:"
+                print filetext 
+                remove=False
+              else :
+                to_remove.append('rm %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_*' %vars())
+            else:
+              haddout='haddout_%s_%s_%s.txt' % (sa,ch,sdir)  
+              hadd_dirs.append((haddout, 'rm %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_*' %vars())) 
+              command+="echo \"Hadding %(sa)s_%(ch)s in %(sdir)s\"\necho \"Hadding %(sa)s_%(ch)s\"\nhadd -f %(outputf)s/%(sdir)s/%(sa)s_%(ch)s_2022.root %(outputf)s/%(sdir)s/%(sa)s_2022_%(ch)s_* &> ./%(haddout)s\nsed -i '/Warning in <TInterpreter::ReadRootmapFile>/d' ./%(haddout)s\n" % vars()     
+          else :
+            print "Incorrect number of files for sample %(sa)s_2022_%(ch)s! in %(sdir)s"%vars()
+            remove=False
+
+  if not batch and remove:
+    # if all channels and systematics were hadded sucsessfully then remove the input files
+    for x in to_remove: 
+      os.system(x)
+
+  if batch and command:
+    with open(JOB, "a") as file: 
+      file.write("\n%s" % command)
+      rm_command = 'y=1\n' % vars()
+      for i in hadd_dirs:
+        hadd_file  = i[0]
+        rm_command+='if [ \"$(cat %(hadd_file)s | grep -e Warning -e Error)\"  != \"\" ]; then y=0; fi\n' % vars()
+      rm_command+='if [ $y == 1 ]; then\n'
+      for i in hadd_dirs:
+        input_file = i[1]
+        rm_command+=input_file+'\n'
+      rm_command+='fi'
+      if remove: file.write("\n%s" % rm_command)
+      file.write('\nEnd of job')
+    os.system('%(JOBSUBMIT)s %(JOB)s' % vars())

From 75468007e2177ac801dea59a6d88d4fc48565205 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 13 Jul 2023 14:29:57 +0100
Subject: [PATCH 19/50] Modifications for new dataset

---
 .../scripts/htt_2022_postEE.py                | 99 ++++---------------
 .../HiggsTauTauRun2/scripts/htt_2022_preEE.py | 98 +++---------------
 2 files changed, 34 insertions(+), 163 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
index 9eb6998c3..f4ca853eb 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -174,16 +174,16 @@ def getParaJobSubmit(N):
    temp='job:sequences:all:'+temp
    flatjsons.append(temp)
 
-FILELIST='filelists/July0623_2022-preEE_MC_124X'
+FILELIST='filelists/July0623_2022-postEE_MC_102X'
 
 signal_mc = [ ]
 signal_vh = [ ]
 signal_mc_ww = [ ]
 
-if os.path.isfile("./jobs/files_per_sample_2018.txt"):
-    os.system("mv ./jobs/files_per_sample_2018.txt ./jobs/files_per_sample_2018-%(BACKUPNAME)s.txt"%vars())
+if os.path.isfile("./jobs/files_per_sample_2022_postEE.txt"):
+    os.system("mv ./jobs/files_per_sample_2022_postEE.txt ./jobs/files_per_sample_2022_postEE-%(BACKUPNAME)s.txt"%vars())
 
-file_persamp = open("./jobs/files_per_sample_2018.txt", "w")
+file_persamp = open("./jobs/files_per_sample_2022_postEE.txt", "w")
 
 
 if options.proc_data or options.proc_all or options.calc_lumi:
@@ -290,81 +290,18 @@ def getParaJobSubmit(N):
 
 if options.proc_bkg or options.proc_all:
     central_samples = [
-    # Drell-Yan LO
-    'DY1JetsToLL-LO',
-    'DY2JetsToLL-LO',
-    'DY3JetsToLL-LO',
-    'DY4JetsToLL-LO',
-    'DYJetsToLL-LO',
-    'DYJetsToLL-LO-ext1',
-
-    # Low mass Drell Yan LO
-    'DYJetsToLL_M-10to50-LO',
- 
-    # Drell-Yan NLO
-    'DYJetsToLL-NLO',
-    'DYJetsToLL_0J-NLO',
-    'DYJetsToLL_1J-NLO',
-    'DYJetsToLL_2J-NLO',
-   
-    # Electroweak W and Z
-    'EWKWMinus2Jets_WToLNu',
-    'EWKWPlus2Jets_WToLNu',
-    'EWKZ2Jets_ZToLL',
-   
-    # W + Jets L0
-    'WJetsToLNu-LO',
-    'W1JetsToLNu-LO',
-    'W2JetsToLNu-LO',
-    'W3JetsToLNu-LO',
-    'W4JetsToLNu-LO',
-   
-#    # W + Jets NLO
-#    'WJetsToLNu_0J-NLO',
-#    'WJetsToLNu_1J-NLO',
-#    'WJetsToLNu_2J-NLO',
-#    #'WJetsToLNu-NLO',
-  
-   # ttbar
+
+    'DYJetsToLL-LO_postEE',
+    'GluGluHToTauTau_M125_postEE_v2',
+    'GluGluHToTauTau_M125_postEE_v3',
     'TTTo2L2Nu',
-    'TTToHadronic',
-    'TTToSemiLeptonic',
-  
-    # Split diboson (Missing Files: WZTo1L3Nu, WZTo2L2Q)
-    'WZTo1L1Nu2Q',
-    'WZTo3LNu',
-    'WWTo1L1Nu2Q',
-    'WWTo2L2Nu',
-    'WZTo1L3Nu',
-    'WZTo2Q2L',
-    'ZZTo2L2Nu',
-    'ZZTo4L',
- 
-#    # Triboson
-#    'WWZ',
-#    'WWZ-ext1',
-#    'WZZ',
-#    'WZZ-ext1',
-#    'WWW',
-#    'WWW-ext1',
-#    'ZZZ',
-#    'ZZZ-ext1',
- 
-    # Other backgrounds
-    'WGToLNuG',
-    'Tbar-t',
-    'Tbar-tW',
-    'T-t',
-    'T-tW',
- 
-#    # SM Higgs
-#    'GluGluHToTauTau_M125',
-#    'VBFHToTauTau_M125',
-#    'WminusHToTauTau_M125',
-#    'WplusHToTauTau_M125',
-#    'ZHToTauTau_M125',
-#    'ZHToTauTau_M125-ext1',
-#    'ttHToTauTau_M125'
+    'VBFHToTauTau_M125_Poisson60KeepRAW',
+    'VBFHToTauTau_M125_v2_Poisson70KeepRAW',
+    'WW_postEE',
+    'WZ_postEE',
+    'ZZ_postEE'
+    
+
     ]
 
     if options.effective_events: # this is just used for the effective events case
@@ -381,9 +318,9 @@ def getParaJobSubmit(N):
 
 
     for sa in central_samples:
-        JOB='%s_2018' % (sa)
-        user='dwinterb'
-        PREFIX='Mar31_MC_124X_2018'
+        JOB='%s_postEE_2022' % (sa)
+        user='irandreo'
+        PREFIX='July0623_MC_124X_2022-postEE'
         JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(FILELIST)s_%(sa)s.dat\", \"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(PREFIX)s/\"}, \"sequence\":{\"output_name\":\"%(JOB)s\",%(jetuncert_string)s}}' "%vars());
         
         job_num=0
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
index f5c2d2116..3f79e4eb0 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -174,16 +174,16 @@ def getParaJobSubmit(N):
    temp='job:sequences:all:'+temp
    flatjsons.append(temp)
 
-FILELIST='filelists/July0623_2022-preEE_MC_124X'
+FILELIST='filelists/July0623_2022-preEE_MC_102X'
 
 signal_mc = [ ]
 signal_vh = [ ]
 signal_mc_ww = [ ]
 
-if os.path.isfile("./jobs/files_per_sample_2018.txt"):
-    os.system("mv ./jobs/files_per_sample_2018.txt ./jobs/files_per_sample_2018-%(BACKUPNAME)s.txt"%vars())
+if os.path.isfile("./jobs/files_per_sample_2022_preEE.txt"):
+    os.system("mv ./jobs/files_per_sample_2022_preEE.txt ./jobs/files_per_sample_2022_preEE-%(BACKUPNAME)s.txt"%vars())
 
-file_persamp = open("./jobs/files_per_sample_2018.txt", "w")
+file_persamp = open("./jobs/files_per_sample_2022_preEE.txt", "w")
 
 
 if options.proc_data or options.proc_all or options.calc_lumi:
@@ -290,81 +290,15 @@ def getParaJobSubmit(N):
 
 if options.proc_bkg or options.proc_all:
     central_samples = [
-    # Drell-Yan LO
-    'DY1JetsToLL-LO',
-    'DY2JetsToLL-LO',
-    'DY3JetsToLL-LO',
-    'DY4JetsToLL-LO',
-    'DYJetsToLL-LO',
-    'DYJetsToLL-LO-ext1',
-
-    # Low mass Drell Yan LO
-    'DYJetsToLL_M-10to50-LO',
- 
-    # Drell-Yan NLO
-    'DYJetsToLL-NLO',
-    'DYJetsToLL_0J-NLO',
-    'DYJetsToLL_1J-NLO',
-    'DYJetsToLL_2J-NLO',
-   
-    # Electroweak W and Z
-    'EWKWMinus2Jets_WToLNu',
-    'EWKWPlus2Jets_WToLNu',
-    'EWKZ2Jets_ZToLL',
-   
-    # W + Jets L0
-    'WJetsToLNu-LO',
-    'W1JetsToLNu-LO',
-    'W2JetsToLNu-LO',
-    'W3JetsToLNu-LO',
-    'W4JetsToLNu-LO',
-   
-#    # W + Jets NLO
-#    'WJetsToLNu_0J-NLO',
-#    'WJetsToLNu_1J-NLO',
-#    'WJetsToLNu_2J-NLO',
-#    #'WJetsToLNu-NLO',
-  
-   # ttbar
-    'TTTo2L2Nu',
-    'TTToHadronic',
-    'TTToSemiLeptonic',
-  
-    # Split diboson (Missing Files: WZTo1L3Nu, WZTo2L2Q)
-    'WZTo1L1Nu2Q',
-    'WZTo3LNu',
-    'WWTo1L1Nu2Q',
-    'WWTo2L2Nu',
-    'WZTo1L3Nu',
-    'WZTo2Q2L',
-    'ZZTo2L2Nu',
-    'ZZTo4L',
- 
-#    # Triboson
-#    'WWZ',
-#    'WWZ-ext1',
-#    'WZZ',
-#    'WZZ-ext1',
-#    'WWW',
-#    'WWW-ext1',
-#    'ZZZ',
-#    'ZZZ-ext1',
- 
-    # Other backgrounds
-    'WGToLNuG',
-    'Tbar-t',
-    'Tbar-tW',
-    'T-t',
-    'T-tW',
- 
-#    # SM Higgs
-#    'GluGluHToTauTau_M125',
-#    'VBFHToTauTau_M125',
-#    'WminusHToTauTau_M125',
-#    'WplusHToTauTau_M125',
-#    'ZHToTauTau_M125',
-#    'ZHToTauTau_M125-ext1',
-#    'ttHToTauTau_M125'
+        'DYJetsToLL-LO_summer',
+        'GluGluHToTauTau_M125',
+        'TTTo2L2Nu',
+        'VBFHToTauTau_M125',
+        'WW',
+        'WZ',
+        'ZZ',
+        'ZZZ'
+    
     ]
 
     if options.effective_events: # this is just used for the effective events case
@@ -381,9 +315,9 @@ def getParaJobSubmit(N):
 
 
     for sa in central_samples:
-        JOB='%s_2018' % (sa)
-        user='dwinterb'
-        PREFIX='Mar31_MC_124X_2018'
+        JOB='%s_preEE_2022' % (sa)
+        user='irandreo'
+        PREFIX='July0623_MC_124X_2022-preEE'
         JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(FILELIST)s_%(sa)s.dat\", \"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(PREFIX)s/\"}, \"sequence\":{\"output_name\":\"%(JOB)s\",%(jetuncert_string)s}}' "%vars());
         
         job_num=0

From 4d7e2375d18764237354cb846100a957d24c3097 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 13 Jul 2023 14:30:34 +0100
Subject: [PATCH 20/50] Modifications in the plotters for my specific use

---
 .../scripts/HiggsTauTauPlot.py                | 176 +++++++++++++++---
 python/plotting.py                            |   6 +-
 2 files changed, 158 insertions(+), 24 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
index a1602b37f..27594edc1 100644
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
@@ -64,7 +64,7 @@
     "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
     "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
     "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
-    "no_qcd_subtract": False
+    "no_qcd_subtract": False, "tt_qcd_sel_num": 0
 
 }
 
@@ -401,6 +401,8 @@
       help="Get version of DeepTau v2p5"),
 parser.add_argument("--no_qcd_subtract", dest="no_qcd_subtract", action='store_true',
     help="Do not subtract background when estimating qcd events")
+parser.add_argument("--tt_qcd_sel_num", dest="tt_qcd_sel_num", type=int,
+    help="Change selection type for tt_qcd_norm")
 options = parser.parse_args(remaining_argv)   
 
 print 'do_unrolling = %s' % options.do_unrolling 
@@ -546,6 +548,12 @@
       t_highpt=180
       t_lowpt_mt=32
       t_lowpt_et=35
+    if options.era in ['22']:
+      m_lowpt=25
+      e_lowpt=33
+      t_highpt=180
+      t_lowpt_mt=32
+      t_lowpt_et=35      
 
     if options.channel == 'mt':
         if options.singletau:
@@ -588,6 +596,8 @@
       cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && trg_doubletau && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
     if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
       cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+    if options.era == '22':
+      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
 
     if options.analysis in ['mssmrun2','vlq']:
       wp = options.wp
@@ -686,9 +696,20 @@
 if options.era == 'mssmsummer16': cats['tt_qcd_norm'] = '(mva_olddm_medium_1>0.5 && mva_olddm_loose_2>0.5 &&mva_olddm_medium_2<0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
 if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['tt_qcd_norm'] = '(pt_1>40 && ((mva_olddm_loose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_medium_2>0.5) || (mva_olddm_loose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_1>0.5))  && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
 # if options.era in ['cpsummer17','cp18']: cats['tt_qcd_norm'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
-
-cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-
+if options.tt_qcd_sel_num==0:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==1:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==2:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==3:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==4:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==5:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_vloose_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+
+#medium vlose
 
 # CR categories
 cats['ztt_control'] = '(m_sv>60&&m_sv<100)'
@@ -795,7 +816,7 @@
 cats['boosted'] = '(!(%s) && !(%s))' % (cats['0jet'], cats['vbf'])
 if options.channel == 'em': cats['boosted'] = '(!(%s) && !(%s) && n_bjets==0)' % (cats['0jet'], cats['vbf'])
 
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] or options.analysis in ['cpprod']:
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] or options.analysis in ['cpprod']:
   cats['ttbar'] = 'n_jets>0'  
   if options.channel in ['mt','et']: 
       cats['0jet'] = '(n_jets==0 && n_bjets==0 &&n_loose_bjets<2)'
@@ -1225,7 +1246,7 @@
     top_sels['ttt_sel'] = '(gen_match_1==5 && gen_match_2==5)' 
     top_sels['ttj_sel'] = '(!(gen_match_1==5 && gen_match_2==5))'
 
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016']:
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016','22']:
   # define these selections to make them more compatible with the fake-factor method and embedded samples
   if options.channel =='em':
     z_sels['zll_sel'] = '(!(gen_match_2==4 && gen_match_1==3))'
@@ -1561,6 +1582,38 @@
     if options.channel == 'tt':
         data_samples = ['TauA','TauB','TauC','TauD']
 
+if options.era in ['22']:
+    if (options.DY_NLO==False):
+        ztt_samples = ['DYJetsToLL-LO_postEE_postEE']#['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
+        #ztt_samples = ['DYJetsToLL-LO']
+    else:
+        ztt_samples = ['DYJetsToLL-LO_postEE_postEE']#['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
+
+    #ztt_samples = ['DYJetsToLL-NLO']
+    #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL_M-10to50-LO']
+    top_samples = ['TTTo2L2Nu_postEE']#['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+    vv_samples = ['WW_postEE_postEE','WZ_postEE_postEE','ZZ_postEE_postEE']#['WZTo1L1Nu2Q','WZTo3LNu','WWTo1L1Nu2Q','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','Tbar-t','Tbar-tW','T-t','T-tW']
+    # if options.analysis in ['mssmrun2','vlq']:
+        # vv_samples = [
+              # 'T-tW', 'Tbar-tW','Tbar-t','T-t',
+              # 'WZTo3LNu','ZZTo4L']
+    wjets_samples = []#['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
+    wgam_samples = []#['WGToLNuG']
+    ewkz_samples = []#['EWKZ2Jets_ZToLL']
+    gghww_samples = ['']
+    qqhww_samples = ['']   
+ 
+    if options.channel in ['mt','zmm','mj']:
+        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
+        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'em':
+        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
+    if options.channel == 'et' or options.channel == 'zee':
+        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'tt':
+        data_samples = ['TauE_rereco_postEE','TauF_postEE','TauG_postEE']        
+
 
 if options.method==0: ztt_samples+=ewkz_samples
 
@@ -1676,6 +1729,35 @@
          'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
     }
 
+  if options.era == '22':
+    sm_samples = {
+         #'vbf_new' : 'VBFHToTauTau_M125_withDipoleRecoil',
+         'ggh*_powheg' : 'GluGluHToTauTau_M-125',
+     #    'vbf*_powheg' : 'VBFHToTauTau_M-125-ext1',
+      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
+       #  'wminush*_powheg': 'WminusHToTauTau_M-125',
+        # 'zh*_powheg': 'ZHToTauTau_M-125',
+         #'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'qqH_htt*' : 'VBFHToTauTau_M-125-ext1',
+         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+         'ZH_htt*': ['ZHToTauTau_M-125','ZHToTauTau_M125-ext1'],
+        # "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
+         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
+         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
+         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
+         'WH_ps_htt*' : 'WHiggs0MToTauTau',
+         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
+         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
+         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
+         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
+    }
+
 
 
 
@@ -1751,9 +1833,35 @@
         "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
         "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
     }
+  if options.era == '22':
+    sm_samples = {
+        # test CP in decay samples
+        'ggH_ph_htt*' : 'GluGluHToTauTau_M-125',
+        'qqH_ph_htt*' : 'VBFHToTauTau_M-125-ext1',
+        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+        "ZH_ph_htt*": 'ZHToTauTau_M-125',  
+        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+    }
 
 
 if options.analysis in ['mssmrun2','vlq']:
+  if options.era == '22':
+    sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
+                   'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+                 }
   if (options.era == 'cp18' or options.era == 'UL_18'):
     sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
                    'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
@@ -2005,6 +2113,7 @@
     if options.era in ["legacy16",'UL_16_preVFP','UL_16_postVFP']: replaceYear = "2016"
     elif (options.era == "cpsummer17" or options.era == 'UL_17'): replaceYear = "2017"
     elif (options.era == "cp18" or options.era == 'UL_18'): replaceYear = "2018"
+    elif options.era == "22": replaceYear = "2022"    
     else: assert ValueError("Regrouped JES only works for full RunII analyses")
 
 
@@ -2253,7 +2362,10 @@
           #hist_name_bini = hist_name.replace('*','%(bin_name)s' % vars())
           #systematics['syst_tau_id_diff_highpt_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_mssm_bin%(i)i_up' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
           #systematics['syst_tau_id_diff_highpt_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_mssm_bin%(i)i_down' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-       
+        if options.year == "2022":
+          nom_40_plus = "1.00458784525"
+          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
+          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.952971628935", "1.00458784525", "-0.0516162163153", "-0.103232432631"       
         if options.year == "2018":
           nom_40_plus = "1.00458784525"
           up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
@@ -2755,10 +2867,10 @@
           qcd_os_ss_ratio = 1.0
           qcd_os_ss_ratio = 1.13 
           if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 0.97
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 0.97
             else: qcd_os_ss_ratio = 1.0
           elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.61
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.61
             else: qcd_os_ss_ratio = 1.28
           elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
           elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
@@ -2771,10 +2883,10 @@
           #qcd_os_ss_ratio = 1.07
           qcd_os_ss_ratio = 1.12
           if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.15
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.15
             else: qcd_os_ss_ratio = 1.07
           elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.18
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.18
             else: qcd_os_ss_ratio = 1.06
           elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
           elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
@@ -2867,6 +2979,7 @@ def GetEmbeddedNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat=''
       if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: wt_+='*1.106'
       if options.era in ['cpsummer17','UL_17']: wt_+='*1.080'
       if options.era in ['cp18','UL_18']: wt_+='*1.101'
+      if options.era in ['22']: wt_+='*1.101'
     full_selection = BuildCutString(wt_+'*(wt<2)', sel, cat, OSSS, z_sels['ztt_sel'])
     return ana.SummedFactory('EmbedZTT'+add_name, samples, plot, full_selection)
 
@@ -3274,7 +3387,7 @@ def GetSubtractNode(ana,add_name,plot,plot_unmodified,wt,sel,cat,cat_data,method
   else:
     ztt_node = GetZTTNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
     subtract_node.AddNode(ztt_node)
-  if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] and options.method!=0: 
+  if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] and options.method!=0: 
     ewkz_node = GetEWKZNode(ana, "", ewkz_samples, plot, wt, sel, cat, z_sels, OSSS)
     subtract_node.AddNode(ewkz_node)
   if options.channel not in ["em"]:
@@ -3435,18 +3548,18 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
     # Select data from anti-isolated region
     if options.channel != "tt":
         if options.channel == 'mt':
-            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18']:
+            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
               anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
             else: 
               anti_isolated_sel = '(iso_1<0.15 && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
         elif options.channel == 'et': 
-            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18']:
+            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
               anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
             else: 
               anti_isolated_sel = '(iso_1<0.1  && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
         ff_cat = cats[cat_name] +" && "+ anti_isolated_sel
         ff_cat_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel
-        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18']:
+        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
           if ff_syst_weight is not None and 'sub_syst' not in add_name: fake_factor_wt_string = '('+ff_syst_weight+'_1)'
           else:
             if options.analysis in ['cpprod']: 
@@ -3506,7 +3619,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
         if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"mvadm2016"]:
           anti_isolated_sel_1 = cats['baseline'].replace('mva_olddm_tight_1>0.5','mva_olddm_tight_1<0.5 && mva_olddm_vloose_1>0.5')
           anti_isolated_sel_2 = cats['baseline'].replace('mva_olddm_tight_2>0.5','mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5')
-        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP']: # need to do also for MVA cats for 2016!
+        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP','22']: # need to do also for MVA cats for 2016!
           anti_isolated_sel_2 = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
           anti_isolated_sel_1 = cats['baseline'].replace('deepTauVsJets_%(wp)s_1>0.5' % vars(),'deepTauVsJets_%(wp)s_1<0.5 && deepTauVsJets_vvvloose_1>0.5' % vars())
         ff_cat_1 = cats[cat_name] +" && "+ anti_isolated_sel_1
@@ -3523,6 +3636,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
               flat = 1.04
               if (options.era=='cpsummer17' or options.era == 'UL_17'): flat=1.07
               if (options.era=='cp18'or options.era == 'UL_18'): flat=1.06
+              if (options.era=='22'): flat=1.06
 
 
               if 'njets0' in add_name:
@@ -3543,6 +3657,23 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
 
 
             if options.analysis in ['cpdecay'] and 'ff_tt_qcd_syst' in add_name:
+              if(options.era=='22'):
+                if 'njets0' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0))*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0))*wt_ff_1' 
+                elif 'njets1' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1' 
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+                else: 
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1'     
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+                                  
               if(options.era=='cp18' or options.era == 'UL_18'):
                 if 'njets0' in add_name:
                   if 'Up' in add_name:
@@ -3601,7 +3732,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
             if options.analysis in ['cpprod','cpdecay','mssmrun2','vlq']:
               fake_factor_wt_string_2='0'
         else:
-          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18']:
+          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
             # deep tau tight 2018 anti isolating the subleading tau
             if options.analysis == 'cpprod':
               fake_factor_wt_string_2='0'
@@ -5075,6 +5206,8 @@ def RawFFFromString(string):
           do_data = False
       if options.scheme == "noTT":
           samples_to_skip.extend(["TTT","TTJ"])
+      if options.scheme == "noWandEWKZ":
+          samples_to_skip.extend(['TTT','TTJ','W','EWKZ'])
       RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, add_name, weight, do_data, samples_to_skip,outfile,ff_syst_weight)
       #if options.era == "tauid2016" and options.channel in ['et','mt']: 
       #    RunPlotting(ana, cats['pass']+'&&'+cats['baseline'], cats_unmodified['pass']+'&&'+cats_unmodified['baseline'], sel, "pass"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
@@ -5398,8 +5531,9 @@ def MergeXBins(hist):
 
 
 if not options.no_plot:
-    if options.extra_name != '': vname = options.extra_name
-    else: vname = var_name
+    #if options.extra_name != '': vname = options.extra_name
+    #else: vname = var_name
+    vname = var_name + '_' +options.extra_name
 
 
     if options.datacard != "": plot_name = options.outputfolder+'/'+vname+'_'+options.datacard+'_'+options.channel+'_'+options.year
@@ -5429,7 +5563,7 @@ def MergeXBins(hist):
     scheme = options.channel
     if compare_w_shapes: scheme = 'w_shape'
     if compare_qcd_shapes: scheme = 'qcd_shape'
-    if options.scheme != "": scheme = options.scheme
+    if options.scheme != "" and options.scheme != "noWandEWKZ": scheme = options.scheme
     FF = options.method in [17,18]
     if options.ml_ff:
       options.w_ff_closure = False
@@ -5611,7 +5745,7 @@ def MergeXBins(hist):
 
 
 # for smsummer16 need to ad WplusH and WminusH templates into one
-if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
+if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
   outfile.cd(nodename)
   directory = outfile.Get(nodename)
   hists_to_add = []
diff --git a/python/plotting.py b/python/plotting.py
index 594fbcd20..d0ed2cc29 100644
--- a/python/plotting.py
+++ b/python/plotting.py
@@ -2269,7 +2269,7 @@ def HTTPlot(nodename,
     }
 
     ModTDRStyle(r=0.04, l=0.14)
-    R.TGaxis.SetExponentOffset(-0.06, 0.01, "y");
+    R.TGaxis.SetExponentOffset(-0.06, 0.01, "y")
 
     if ("sm" in signal_scheme and "mssm" not in signal_scheme) or True:
         background_schemes = {
@@ -3610,9 +3610,9 @@ def CompareHists(hists=[],
     c1.SaveAs(plot_name+'.png')
     if output_file is not None:
         output_file.WriteObject(c1, plot_name)
-
     for o in objects:
-      o.IsA().Destructor(o)
+        o.IsA().Destructor(o)
+    c1.Close()
     
 def HTTPlotSignal(nodename, 
             infile=None, 

From ea6e559caad832eb0a13f57a0a88d35602b727ee Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 13 Jul 2023 14:31:51 +0100
Subject: [PATCH 21/50] Create and modify cfg files

---
 .../scripts/plot_2022_nosubqcd.cfg            | 25 +++++++++++++++++++
 .../HiggsTauTauRun2/scripts/plot_UL_2018.cfg  |  4 +++
 .../scripts/plot_UL_2018_nosubqcd.cfg         |  4 ++-
 3 files changed, 32 insertions(+), 1 deletion(-)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/plot_2022_nosubqcd.cfg

diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_2022_nosubqcd.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_2022_nosubqcd.cfg
new file mode 100644
index 000000000..4d3a7eb40
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_2022_nosubqcd.cfg
@@ -0,0 +1,25 @@
+#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_2022_nosubqcd.cfg --no_qcd_subtract --var "m_vis(20,0,200)"
+[Defaults]
+analysis=mssmrun2
+paramfile=scripts/params_2022.json
+folder=/vols/cms/eb921/output/tt_2022/
+era=22
+sm_masses=""
+draw_signal_mass=""
+#ggh_masses=80,90,100,110,120,130,140,160,180,200,250,300,400,450,600,700,800,1200,1400,1500,1600,1800,2000,2600,2900,3200
+#bbh_nlo_masses=80,90,100,110,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+#ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+#bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+year=2022
+norm_bins=True
+ratio=True
+lumi=38.48 fb^{-1} (13.6 TeV)
+vbf_background=False
+wp = medium
+channel = tt
+method = 8
+outputfolder=output_2022
+#extra_name = nosubqcd
+no_qcd_subtract= True
+#do_ss = True
+scheme = noWandEWKZ
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
index a3af959ce..3a4f8362d 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
@@ -1,3 +1,4 @@
+#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_UL_2018.cfg --var "m_vis(20,0,200)"
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_UL_2018.json
@@ -17,3 +18,6 @@ vbf_background=False
 wp = medium
 channel = tt
 method = 8
+outputfolder =output
+#extra_name = vvvlose
+#do_ss = True
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
index c864791bb..54168dd97 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
@@ -1,3 +1,4 @@
+#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_UL_2018_nosubqcd.cfg --no_qcd_subtract --var "m_vis(20,0,200)"
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_UL_2018.json
@@ -18,5 +19,6 @@ wp = medium
 channel = tt
 method = 8
 outputfolder=output_nosubqcd
-extra_name = nosubqcd
+#extra_name = nosubqcd
 no_qcd_subtract= True
+#do_ss = True

From ac006cd6418fe492f4fe200a28895046c38bd8d0 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 20 Jul 2023 11:50:29 +0100
Subject: [PATCH 22/50] Modify HTT plotter python

---
 .../scripts/HiggsTauTauPlot.py                |  205 +-
 .../scripts/HiggsTauTauPlot_Run3.py           | 5817 +++++++++++++++++
 .../{plot_2022_nosubqcd.cfg => plot_2022.cfg} |    6 +-
 .../HiggsTauTauRun2/scripts/plot_UL_2018.cfg  |    9 +-
 .../scripts/plot_UL_2018_nosubqcd.cfg         |   24 -
 5 files changed, 5855 insertions(+), 206 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
 rename Analysis/HiggsTauTauRun2/scripts/{plot_2022_nosubqcd.cfg => plot_2022.cfg} (86%)
 delete mode 100644 Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg

diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
index 27594edc1..bc37c06f9 100644
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
@@ -63,8 +63,7 @@
     "ff_ss_closure":False, "threePads":False,"auto_blind":False,
     "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
     "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
-    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
-    "no_qcd_subtract": False, "tt_qcd_sel_num": 0
+    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False
 
 }
 
@@ -398,11 +397,7 @@
 parser.add_argument("--plot_from_dc", default="", type=str,
       help="If not empty will draw plot straight from datacard")
 parser.add_argument("--v2p5", dest="v2p5", action='store_true',
-      help="Get version of DeepTau v2p5"),
-parser.add_argument("--no_qcd_subtract", dest="no_qcd_subtract", action='store_true',
-    help="Do not subtract background when estimating qcd events")
-parser.add_argument("--tt_qcd_sel_num", dest="tt_qcd_sel_num", type=int,
-    help="Change selection type for tt_qcd_norm")
+      help="Get version of DeepTau v2p5")
 options = parser.parse_args(remaining_argv)   
 
 print 'do_unrolling = %s' % options.do_unrolling 
@@ -548,12 +543,6 @@
       t_highpt=180
       t_lowpt_mt=32
       t_lowpt_et=35
-    if options.era in ['22']:
-      m_lowpt=25
-      e_lowpt=33
-      t_highpt=180
-      t_lowpt_mt=32
-      t_lowpt_et=35      
 
     if options.channel == 'mt':
         if options.singletau:
@@ -596,8 +585,6 @@
       cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && trg_doubletau && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
     if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
       cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-    if options.era == '22':
-      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
 
     if options.analysis in ['mssmrun2','vlq']:
       wp = options.wp
@@ -696,20 +683,9 @@
 if options.era == 'mssmsummer16': cats['tt_qcd_norm'] = '(mva_olddm_medium_1>0.5 && mva_olddm_loose_2>0.5 &&mva_olddm_medium_2<0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
 if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['tt_qcd_norm'] = '(pt_1>40 && ((mva_olddm_loose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_medium_2>0.5) || (mva_olddm_loose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_1>0.5))  && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
 # if options.era in ['cpsummer17','cp18']: cats['tt_qcd_norm'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
-if options.tt_qcd_sel_num==0:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==1:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==2:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==3:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==4:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==5:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_vloose_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-
-#medium vlose
+
+cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+
 
 # CR categories
 cats['ztt_control'] = '(m_sv>60&&m_sv<100)'
@@ -816,7 +792,7 @@
 cats['boosted'] = '(!(%s) && !(%s))' % (cats['0jet'], cats['vbf'])
 if options.channel == 'em': cats['boosted'] = '(!(%s) && !(%s) && n_bjets==0)' % (cats['0jet'], cats['vbf'])
 
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] or options.analysis in ['cpprod']:
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] or options.analysis in ['cpprod']:
   cats['ttbar'] = 'n_jets>0'  
   if options.channel in ['mt','et']: 
       cats['0jet'] = '(n_jets==0 && n_bjets==0 &&n_loose_bjets<2)'
@@ -1246,7 +1222,7 @@
     top_sels['ttt_sel'] = '(gen_match_1==5 && gen_match_2==5)' 
     top_sels['ttj_sel'] = '(!(gen_match_1==5 && gen_match_2==5))'
 
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016','22']:
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016']:
   # define these selections to make them more compatible with the fake-factor method and embedded samples
   if options.channel =='em':
     z_sels['zll_sel'] = '(!(gen_match_2==4 && gen_match_1==3))'
@@ -1582,38 +1558,6 @@
     if options.channel == 'tt':
         data_samples = ['TauA','TauB','TauC','TauD']
 
-if options.era in ['22']:
-    if (options.DY_NLO==False):
-        ztt_samples = ['DYJetsToLL-LO_postEE_postEE']#['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
-        #ztt_samples = ['DYJetsToLL-LO']
-    else:
-        ztt_samples = ['DYJetsToLL-LO_postEE_postEE']#['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
-
-    #ztt_samples = ['DYJetsToLL-NLO']
-    #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL_M-10to50-LO']
-    top_samples = ['TTTo2L2Nu_postEE']#['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-    vv_samples = ['WW_postEE_postEE','WZ_postEE_postEE','ZZ_postEE_postEE']#['WZTo1L1Nu2Q','WZTo3LNu','WWTo1L1Nu2Q','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','Tbar-t','Tbar-tW','T-t','T-tW']
-    # if options.analysis in ['mssmrun2','vlq']:
-        # vv_samples = [
-              # 'T-tW', 'Tbar-tW','Tbar-t','T-t',
-              # 'WZTo3LNu','ZZTo4L']
-    wjets_samples = []#['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
-    wgam_samples = []#['WGToLNuG']
-    ewkz_samples = []#['EWKZ2Jets_ZToLL']
-    gghww_samples = ['']
-    qqhww_samples = ['']   
- 
-    if options.channel in ['mt','zmm','mj']:
-        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
-        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauA','TauB','TauC','TauD']
-    if options.channel == 'em':
-        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
-    if options.channel == 'et' or options.channel == 'zee':
-        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
-        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauA','TauB','TauC','TauD']
-    if options.channel == 'tt':
-        data_samples = ['TauE_rereco_postEE','TauF_postEE','TauG_postEE']        
-
 
 if options.method==0: ztt_samples+=ewkz_samples
 
@@ -1729,35 +1673,6 @@
          'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
     }
 
-  if options.era == '22':
-    sm_samples = {
-         #'vbf_new' : 'VBFHToTauTau_M125_withDipoleRecoil',
-         'ggh*_powheg' : 'GluGluHToTauTau_M-125',
-     #    'vbf*_powheg' : 'VBFHToTauTau_M-125-ext1',
-      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
-       #  'wminush*_powheg': 'WminusHToTauTau_M-125',
-        # 'zh*_powheg': 'ZHToTauTau_M-125',
-         #'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         #'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         #'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'qqH_htt*' : 'VBFHToTauTau_M-125-ext1',
-         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-         'ZH_htt*': ['ZHToTauTau_M-125','ZHToTauTau_M125-ext1'],
-        # "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
-         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
-         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
-         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
-         'WH_ps_htt*' : 'WHiggs0MToTauTau',
-         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
-         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
-         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
-         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
-    }
-
 
 
 
@@ -1833,35 +1748,9 @@
         "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
         "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
     }
-  if options.era == '22':
-    sm_samples = {
-        # test CP in decay samples
-        'ggH_ph_htt*' : 'GluGluHToTauTau_M-125',
-        'qqH_ph_htt*' : 'VBFHToTauTau_M-125-ext1',
-        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-        "ZH_ph_htt*": 'ZHToTauTau_M-125',  
-        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-    }
 
 
 if options.analysis in ['mssmrun2','vlq']:
-  if options.era == '22':
-    sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
-                   'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-                 }
   if (options.era == 'cp18' or options.era == 'UL_18'):
     sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
                    'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
@@ -2113,7 +2002,6 @@
     if options.era in ["legacy16",'UL_16_preVFP','UL_16_postVFP']: replaceYear = "2016"
     elif (options.era == "cpsummer17" or options.era == 'UL_17'): replaceYear = "2017"
     elif (options.era == "cp18" or options.era == 'UL_18'): replaceYear = "2018"
-    elif options.era == "22": replaceYear = "2022"    
     else: assert ValueError("Regrouped JES only works for full RunII analyses")
 
 
@@ -2362,10 +2250,7 @@
           #hist_name_bini = hist_name.replace('*','%(bin_name)s' % vars())
           #systematics['syst_tau_id_diff_highpt_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_mssm_bin%(i)i_up' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
           #systematics['syst_tau_id_diff_highpt_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_mssm_bin%(i)i_down' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-        if options.year == "2022":
-          nom_40_plus = "1.00458784525"
-          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
-          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.952971628935", "1.00458784525", "-0.0516162163153", "-0.103232432631"       
+       
         if options.year == "2018":
           nom_40_plus = "1.00458784525"
           up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
@@ -2867,10 +2752,10 @@
           qcd_os_ss_ratio = 1.0
           qcd_os_ss_ratio = 1.13 
           if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 0.97
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 0.97
             else: qcd_os_ss_ratio = 1.0
           elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.61
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.61
             else: qcd_os_ss_ratio = 1.28
           elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
           elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
@@ -2883,10 +2768,10 @@
           #qcd_os_ss_ratio = 1.07
           qcd_os_ss_ratio = 1.12
           if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.15
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.15
             else: qcd_os_ss_ratio = 1.07
           elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.18
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.18
             else: qcd_os_ss_ratio = 1.06
           elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
           elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
@@ -2979,7 +2864,6 @@ def GetEmbeddedNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat=''
       if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: wt_+='*1.106'
       if options.era in ['cpsummer17','UL_17']: wt_+='*1.080'
       if options.era in ['cp18','UL_18']: wt_+='*1.101'
-      if options.era in ['22']: wt_+='*1.101'
     full_selection = BuildCutString(wt_+'*(wt<2)', sel, cat, OSSS, z_sels['ztt_sel'])
     return ana.SummedFactory('EmbedZTT'+add_name, samples, plot, full_selection)
 
@@ -3387,7 +3271,7 @@ def GetSubtractNode(ana,add_name,plot,plot_unmodified,wt,sel,cat,cat_data,method
   else:
     ztt_node = GetZTTNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
     subtract_node.AddNode(ztt_node)
-  if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] and options.method!=0: 
+  if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] and options.method!=0: 
     ewkz_node = GetEWKZNode(ana, "", ewkz_samples, plot, wt, sel, cat, z_sels, OSSS)
     subtract_node.AddNode(ewkz_node)
   if options.channel not in ["em"]:
@@ -3483,30 +3367,22 @@ def GenerateQCD(ana, add_name='', data=[], plot='', plot_unmodified='', wt='', s
         if method == 8:
           qcd_sdb_cat = cats[options.cat]+' && '+cats['tt_qcd_norm'] 
           qcd_sdb_cat_data = cats_unmodified[options.cat]+' && '+cats_unmodified['tt_qcd_norm']
-          if options.no_qcd_subtract:
-            subtract_node =None       
-          else:
-            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True) 
+          
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)        
           num_selection = BuildCutString(wt, sel, cat_data, '!os')
           num_node = SubtractNode('ratio_num',
                        ana.SummedFactory('data', data, plot_unmodified, num_selection),
                        subtract_node)
           if options.analysis == 'mssmsummer16': tau_id_wt = 'wt_tau2_id_loose'
           else: tau_id_wt = '1'
-          if options.no_qcd_subtract:
-            subtract_node =None 
-          else:
-            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,False,True)
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,False,True)
           den_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, '!os')
           den_node = SubtractNode('ratio_den',
                        ana.SummedFactory('data', data, plot_unmodified, den_selection),
                        subtract_node)
           shape_node = None   
           full_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, OSSS)
-          if options.no_qcd_subtract:
-            subtract_node = None
-          else:
-            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,get_os,True)
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,get_os,True)
   
           ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
             ana.SummedFactory('data', data, plot_unmodified, full_selection),
@@ -3548,18 +3424,18 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
     # Select data from anti-isolated region
     if options.channel != "tt":
         if options.channel == 'mt':
-            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
+            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18']:
               anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
             else: 
               anti_isolated_sel = '(iso_1<0.15 && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
         elif options.channel == 'et': 
-            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
+            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18']:
               anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
             else: 
               anti_isolated_sel = '(iso_1<0.1  && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
         ff_cat = cats[cat_name] +" && "+ anti_isolated_sel
         ff_cat_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel
-        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
+        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18']:
           if ff_syst_weight is not None and 'sub_syst' not in add_name: fake_factor_wt_string = '('+ff_syst_weight+'_1)'
           else:
             if options.analysis in ['cpprod']: 
@@ -3619,7 +3495,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
         if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"mvadm2016"]:
           anti_isolated_sel_1 = cats['baseline'].replace('mva_olddm_tight_1>0.5','mva_olddm_tight_1<0.5 && mva_olddm_vloose_1>0.5')
           anti_isolated_sel_2 = cats['baseline'].replace('mva_olddm_tight_2>0.5','mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5')
-        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP','22']: # need to do also for MVA cats for 2016!
+        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP']: # need to do also for MVA cats for 2016!
           anti_isolated_sel_2 = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
           anti_isolated_sel_1 = cats['baseline'].replace('deepTauVsJets_%(wp)s_1>0.5' % vars(),'deepTauVsJets_%(wp)s_1<0.5 && deepTauVsJets_vvvloose_1>0.5' % vars())
         ff_cat_1 = cats[cat_name] +" && "+ anti_isolated_sel_1
@@ -3636,7 +3512,6 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
               flat = 1.04
               if (options.era=='cpsummer17' or options.era == 'UL_17'): flat=1.07
               if (options.era=='cp18'or options.era == 'UL_18'): flat=1.06
-              if (options.era=='22'): flat=1.06
 
 
               if 'njets0' in add_name:
@@ -3657,23 +3532,6 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
 
 
             if options.analysis in ['cpdecay'] and 'ff_tt_qcd_syst' in add_name:
-              if(options.era=='22'):
-                if 'njets0' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0))*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0))*wt_ff_1' 
-                elif 'njets1' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1' 
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
-                else: 
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1'     
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
-                                  
               if(options.era=='cp18' or options.era == 'UL_18'):
                 if 'njets0' in add_name:
                   if 'Up' in add_name:
@@ -3732,7 +3590,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
             if options.analysis in ['cpprod','cpdecay','mssmrun2','vlq']:
               fake_factor_wt_string_2='0'
         else:
-          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
+          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18']:
             # deep tau tight 2018 anti isolating the subleading tau
             if options.analysis == 'cpprod':
               fake_factor_wt_string_2='0'
@@ -5013,12 +4871,8 @@ def RawFFFromString(string):
 #  output_name = options.outputfolder+'/datacard_'+options.extra_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
   datacard_name+='_'+options.extra_name
 #else: 
-if options.do_ss:
-  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'_ss.root'
-  outfile = ROOT.TFile(output_name, 'RECREATE')
-else:
-  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
-  outfile = ROOT.TFile(output_name, 'RECREATE')
+output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
+outfile = ROOT.TFile(output_name, 'RECREATE')
     
 cats['cat'] = '('+cats[options.cat]+')*('+cats['baseline']+')'
 if options.channel=="em": cats['em_shape_cat'] = '('+cats[options.cat]+')*('+cats['loose_baseline']+')'
@@ -5206,8 +5060,6 @@ def RawFFFromString(string):
           do_data = False
       if options.scheme == "noTT":
           samples_to_skip.extend(["TTT","TTJ"])
-      if options.scheme == "noWandEWKZ":
-          samples_to_skip.extend(['TTT','TTJ','W','EWKZ'])
       RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, add_name, weight, do_data, samples_to_skip,outfile,ff_syst_weight)
       #if options.era == "tauid2016" and options.channel in ['et','mt']: 
       #    RunPlotting(ana, cats['pass']+'&&'+cats['baseline'], cats_unmodified['pass']+'&&'+cats_unmodified['baseline'], sel, "pass"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
@@ -5531,9 +5383,8 @@ def MergeXBins(hist):
 
 
 if not options.no_plot:
-    #if options.extra_name != '': vname = options.extra_name
-    #else: vname = var_name
-    vname = var_name + '_' +options.extra_name
+    if options.extra_name != '': vname = options.extra_name
+    else: vname = var_name
 
 
     if options.datacard != "": plot_name = options.outputfolder+'/'+vname+'_'+options.datacard+'_'+options.channel+'_'+options.year
@@ -5563,7 +5414,7 @@ def MergeXBins(hist):
     scheme = options.channel
     if compare_w_shapes: scheme = 'w_shape'
     if compare_qcd_shapes: scheme = 'qcd_shape'
-    if options.scheme != "" and options.scheme != "noWandEWKZ": scheme = options.scheme
+    if options.scheme != "": scheme = options.scheme
     FF = options.method in [17,18]
     if options.ml_ff:
       options.w_ff_closure = False
@@ -5745,7 +5596,7 @@ def MergeXBins(hist):
 
 
 # for smsummer16 need to ad WplusH and WminusH templates into one
-if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
+if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
   outfile.cd(nodename)
   directory = outfile.Get(nodename)
   hists_to_add = []
diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
new file mode 100644
index 000000000..bf1b33f0f
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
@@ -0,0 +1,5817 @@
+import ROOT
+import os
+import glob
+import json
+from UserCode.ICHiggsTauTau.analysis import *
+from UserCode.ICHiggsTauTau.uncertainties import ufloat
+from optparse import OptionParser
+import argparse
+import ConfigParser
+import UserCode.ICHiggsTauTau.plotting as plotting
+from collections import OrderedDict
+import copy
+
+CHANNELS= ['et', 'mt', 'em','tt','zmm','zee','mj']
+ANALYSIS= ['sm','mssm','Hhh']
+METHODS= [8 ,9, 10, 11, 12 , 13, 14, 15, 16, 17, 18, 19]
+
+conf_parser = argparse.ArgumentParser(
+    description=__doc__,
+    formatter_class=argparse.RawDescriptionHelpFormatter,
+    add_help=False
+    )
+conf_parser.add_argument("--cfg",
+                    help="Specify config file", metavar="FILE")
+options, remaining_argv = conf_parser.parse_known_args()
+
+defaults = { 
+    "channel":"mt" , "outputfolder":"output",
+    "folder":"/vols/cms/dw515/Offline/output/MSSM/Jan11/" , "signal_folder":"", "embed_folder":"",
+    "paramfile":"scripts/Params_2016_spring16.json", "cat":"inclusive", "year":"2016",
+    "era":"mssmsummer16", "sel":"(1)", "set_alias":[], "analysis":"mssm", "var":"m_vis(7,0,140)",
+    "method":8 , "do_ss":False, "do_aiso":False, "sm_masses":"125", "ggh_masses":"", "bbh_masses":"",
+    "bbh_nlo_masses":"", "nlo_qsh":False, "qcd_os_ss_ratio":-1, "add_sm_background":"",
+    "syst_e_scale":"", "syst_mu_scale":"", "syst_tau_scale":"", "syst_tau_scale_0pi":"",
+    "syst_e_res":"", "syst_mu_res":"", "syst_tau_res":"", 
+    "syst_tau_scale_1pi":"", "syst_tau_scale_3prong":"", "syst_tau_scale_3prong1pi0":"", "syst_eff_t":"", "syst_tquark":"",
+    "syst_zwt":"", "syst_w_fake_rate":"", "syst_scale_j":"", "syst_res_j":"", "syst_scale_j_rbal":"",
+    "syst_scale_j_rsamp":"", "syst_scale_j_full":"", "syst_scale_j_cent":"", "syst_scale_j_hf":"", 
+    "syst_scale_j_full_corr":"", "syst_scale_j_cent_corr":"", "syst_scale_j_hf_corr":"",
+    "syst_scale_j_full_uncorr":"", "syst_scale_j_cent_uncorr":"", "syst_scale_j_hf_uncorr":"",
+    "syst_scale_j_by_source":"","jes_sources":"1:27", "syst_eff_b":"", "syst_fake_b":"", "syst_eff_b_weights":"",
+    "norm_bins":False, "blind":False, "x_blind_min":100, "x_blind_max":4000, "ratio":False,
+    "y_title":"", "x_title":"", "custom_y_range":False, "y_axis_min":0.001,
+    "y_axis_max":100,"custom_x_range":False, "x_axis_min":0.001, "x_axis_max":100, "log_x":False,
+    "log_y":False, "extra_pad":0.0, "signal_scale":1, "draw_signal_mass":"", "draw_signal_tanb":10,
+    "signal_scheme":"run2_mssm", "lumi":"12.9 fb^{-1} (13 TeV)", "no_plot":False,
+    "ratio_range":"0.6,1.4", "datacard":"", "do_custom_uncerts":False, "uncert_title":"Background uncertainty", 
+    "custom_uncerts_wt_up":"","custom_uncerts_wt_down":"", "add_flat_uncert":0,
+    "add_stat_to_syst":False, "add_wt":"", "custom_uncerts_up_name":"", "custom_uncerts_down_name":"",
+    "do_ff_systs":False, "syst_efake_0pi_scale":"", "syst_efake_1pi_scale":"", "syst_jfake_scale":"",
+    "syst_mufake_0pi_scale":"", "syst_mufake_1pi_scale":"", "scheme":"","scheme":"", "syst_zpt_es":"",
+    "syst_zpt_tt":"", "syst_zpt_statpt0":"", "syst_zpt_statpt40":"", "syst_zpt_statpt80":"",
+    "syst_jfake_m":"", "syst_jfake_e":"", "syst_z_mjj":"", "syst_qcd_scale":"", "syst_quarkmass":"", "syst_mssm_ggh":False,
+    "syst_ps":"", "syst_ue":"", "doNLOScales":False, "gen_signal":False, "doPDF":False,
+    "doMSSMReWeighting":False, "do_unrolling":1, "syst_tau_id_dm0":"", "syst_tau_id_dm1":"",
+    "syst_tau_id_dm10":"", "syst_lfake_dm0":"","syst_lfake_dm1":"","syst_qcd_shape_wsf":"",
+    "syst_scale_met_unclustered":"","syst_scale_met_clustered":"",
+    "extra_name":"", "no_default":False, "no_systs":False, "embedding":False,"syst_embedding_tt":"", "syst_embed_pt":"",
+    "vbf_background":False, "syst_em_qcd":"", "syst_prefire":"",
+    "syst_scale_met":"", "syst_res_met":"", "split_sm_scheme": False,
+    "ggh_scheme": "powheg", "symmetrise":False, "mergeXbins":False, 'em_qcd_weight':"",
+    "syst_scale_j_corr":"","syst_scale_j_uncorr":"", "syst_qcd_bkg":"",
+    "ff_ss_closure":False, "threePads":False,"auto_blind":False,
+    "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
+    "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
+    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
+    "no_qcd_subtract": False, "tt_qcd_sel_num": 0,"scale_by_bin":False
+
+}
+
+if options.cfg:
+    config = ConfigParser.SafeConfigParser()
+    config.read([options.cfg])
+    defaults.update(dict(config.items("Defaults")))
+
+parser = argparse.ArgumentParser(
+    parents=[conf_parser]
+    )
+parser.set_defaults(**defaults)
+parser.add_argument("--channel", dest="channel", type=str,
+    help="Tau decay channel to process.  Supported channels: %(CHANNELS)s" % vars())
+parser.add_argument("--outputfolder", dest="outputfolder", type=str,
+    help="Name of output folder")
+parser.add_argument("--folder", dest="folder", type=str,
+    help="Name of input folder")
+parser.add_argument("--signal_folder", dest="signal_folder", type=str,
+    help="If specified will use as input folder for signal samples, else will use same directroy specified by \"folder\" option.")
+parser.add_argument("--embed_folder", dest="embed_folder", type=str,
+    help="If specified will use as input folder for embed samples, else will use same directroy specified by \"folder\" option.")
+parser.add_argument("--paramfile", dest="paramfile", type=str,
+    help="Name of parameter file")
+parser.add_argument("--cat", dest="cat", type=str,
+    help="Category")
+parser.add_argument("--datacard", dest="datacard", type=str,
+    help="Datacard name")
+parser.add_argument("--year", dest="year", type=str,
+    help="Year")
+parser.add_argument("--era", dest="era", type=str,
+    help="Era")
+parser.add_argument("--sel", dest="sel", type=str,
+    help="Selection")
+parser.add_argument("--set_alias", action="append", dest="set_alias", type=str,
+    help="Overwrite alias selection using this options. Specify with the form --set_alias=nameofaliastoreset:newselection")
+parser.add_argument("--analysis", dest="analysis", type=str, 
+    help="Analysis.  Supported options: %(CHANNELS)s" % vars())
+parser.add_argument("--var", dest="var", type=str,
+    help="Variable to plot")
+parser.add_argument("--method", dest="method", type=int,
+    help="Method.  Supported options: %(METHODS)s" % vars())
+parser.add_argument("--do_aiso", dest="do_aiso", action='store_true',
+    help="Anti-isolate electron / muon")
+parser.add_argument("--do_ss", dest="do_ss", action='store_true',
+    help="Do same-sign.")
+parser.add_argument("--sm_masses", dest="sm_masses", type=str,
+    help="Comma seperated list of SM signal masses.")
+parser.add_argument("--ggh_masses", dest="ggh_masses", type=str,
+    help="Comma seperated list of SUSY ggH signal masses.")
+parser.add_argument("--bbh_nlo_masses", dest="bbh_nlo_masses", type=str,
+    help="Comma seperated list of SUSY NLO bbH signal masses.")
+parser.add_argument("--nlo_qsh", dest="nlo_qsh", action='store_true',
+    help="Do the Up/Down Qsh variations for NLO samples.")
+parser.add_argument("--doNLOScales", dest="doNLOScales", action='store_true',
+    help="Do the Up/Down QCD scale variations for NLO samples and compute uncertainties.")
+parser.add_argument("--doPDF", dest="doPDF", action='store_true',
+    help="Do PDF and alphaS variations for NLO samples and compute uncertainties.")
+parser.add_argument("--doMSSMReWeighting", dest="doMSSMReWeighting", action='store_true',
+    help="Do mA-tanb dependent reweighting of MSSM ggH signal.")
+parser.add_argument("--bbh_masses", dest="bbh_masses", type=str,
+    help="Comma seperated list of SUSY bbH signal masses.")
+parser.add_argument("--qcd_os_ss_ratio", dest="qcd_os_ss_ratio", type=float,
+    help="QCD OS/SS ratio")
+parser.add_argument("--add_sm_background", dest="add_sm_background", type=str,
+    help="Add SM Higgs background for MSSM")
+parser.add_argument("--syst_tau_scale", dest="syst_tau_scale", type=str,
+    help="If this string is set then the systematic shift due to tau energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_e_scale", dest="syst_e_scale", type=str,
+    help="If this string is set then the systematic shift due to electron energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_mu_scale", dest="syst_mu_scale", type=str,
+    help="If this string is set then the systematic shift due to muon energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_scale_0pi", dest="syst_tau_scale_0pi", type=str,
+    help="If this string is set then the systematic shift due to the 1 prong 0 pi tau energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_scale_1pi", dest="syst_tau_scale_1pi", type=str,
+    help="If this string is set then the systematic shift due to the 1 prong 1 pi tau energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_scale_3prong", dest="syst_tau_scale_3prong", type=str,
+    help="If this string is set then the systematic shift due to 3 prong tau energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_scale_3prong1pi0", dest="syst_tau_scale_3prong1pi0", type=str,
+    help="If this string is set then the systematic shift due to 3 prong + 1 pi0 tau energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_scale_grouped", type=str,
+    help="If this string is set then the systematic shift due to tau energy scale is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_e_res", dest="syst_e_res", type=str,
+    help="If this string is set then the systematic shift due to electron energy resolution is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_mu_res", dest="syst_mu_res", type=str,
+    help="If this string is set then the systematic shift due to muon energy resolution is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_res", dest="syst_tau_res", type=str,
+    help="If this string is set then the systematic shift due to tau energy resolution is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_eff_t", dest="syst_eff_t", type=str, default='',
+    help="If this string is set then the systematic shift due to tau ID is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tquark", dest="syst_tquark", type=str,
+    help="If this string is set then the top-quark weight systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_zwt", dest="syst_zwt", type=str,
+    help="If this string is set then the z-reweighting systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_w_fake_rate", dest="syst_w_fake_rate", type=str, default='',
+    help="If this string is set then the W+jets fake-rate systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_j", dest="syst_scale_j", type=str,
+    help="If this string is set then the jet scale systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_res_j", dest="syst_res_j", type=str,
+    help="If this string is set then the jER systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_j_corr", dest="syst_scale_j_corr", type=str,
+    help="If this string is set then the jet scale systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_j_uncorr", dest="syst_scale_j_uncorr", type=str,
+    help="If this string is set then the jet scale systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_j_rbal", dest="syst_scale_j_rbal", type=str,
+    help="If this string is set then the RelativeBal jet scale systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_j_rsamp", dest="syst_scale_j_rsamp", type=str,
+    help="If this string is set then the RelativeSample jet scale systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_j_full", dest="syst_scale_j_full", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta<5)")
+parser.add_argument("--syst_scale_j_cent", dest="syst_scale_j_cent", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = central region (eta<3)")
+parser.add_argument("--syst_scale_j_hf", dest="syst_scale_j_hf", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta>3)")
+parser.add_argument("--syst_scale_j_full_corr", dest="syst_scale_j_full_corr", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta<5). 2016/2017 correlated part.")
+parser.add_argument("--syst_scale_j_cent_corr", dest="syst_scale_j_cent_corr", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = central region (eta<3). 2016/2017 correlated part.")
+parser.add_argument("--syst_scale_j_hf_corr", dest="syst_scale_j_hf_corr", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta>3). 2016/2017 correlated part.")
+parser.add_argument("--syst_scale_j_full_uncorr", dest="syst_scale_j_full_uncorr", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta<5). 2016/2017 correlated part.")
+parser.add_argument("--syst_scale_j_cent_uncorr", dest="syst_scale_j_cent_uncorr", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = central region (eta<3). 2016/2017 correlated part.")
+parser.add_argument("--syst_scale_j_hf_uncorr", dest="syst_scale_j_hf_uncorr", type=str,
+    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta>3). 2016/2017 correlated part.")
+parser.add_argument("--syst_scale_j_by_source", dest="syst_scale_j_by_source", type=str,
+    help="If this string is set then the jet scale systematic is performed split by source with the set string appended to the resulting histogram name. The string should contrain the substring  \'SOUCE\' which will be replaced by the JES source name")
+parser.add_argument("--syst_scale_j_regrouped", dest="syst_scale_j_regrouped", type=str,
+    help="If this string is set then the set of regrouped jet scale systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--jes_sources", dest="jes_sources", type=str,
+    help="JES sources to process specified by integers seperated by commas. Values seperated by x\':\'y will process all integers from x to y. e.g using --jes_sources=1:3,10 will process sources: 1,2,3,10")
+parser.add_argument("--syst_eff_b", dest="syst_eff_b", type=str,
+    help="If this string is set then the b-tag efficiency systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_eff_b_weights", dest="syst_eff_b_weights", type=str,
+    help="If this string is set then the b-tag efficiency systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_fake_b", dest="syst_fake_b", type=str,
+    help="If this string is set then the b-tag fake-rate systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--norm_bins", dest="norm_bins", action='store_true',
+    help="Normalize bins by bin width.")
+parser.add_argument("--blind", dest="blind", action='store_true',
+    help="Blind histogram.")
+parser.add_argument("--x_blind_min", dest="x_blind_min", type=float,
+    help="Minimum x for blinding.")
+parser.add_argument("--x_blind_max", dest="x_blind_max", type=float,
+    help="Maximum x for blinding.")
+parser.add_argument("--ratio", dest="ratio", action='store_true',
+    help="Draw ratio.")
+parser.add_argument("--y_title", dest="y_title", type=str,
+    help="Y-axis title.")
+parser.add_argument("--x_title", dest="x_title", type=str,
+    help="X-axis title.")
+parser.add_argument("--custom_y_range", dest="custom_y_range", action='store_true',
+    help="Use custom y-axis range")
+parser.add_argument("--y_axis_min", dest="y_axis_min", type=float,
+    help="Minimum y-axis value.")
+parser.add_argument("--y_axis_max", dest="y_axis_max", type=float,
+    help="Maximum y-axis value.")
+parser.add_argument("--custom_x_range", dest="custom_x_range", action='store_true',
+    help="Use custom x-axis range")
+parser.add_argument("--x_axis_min", dest="x_axis_min", type=float,
+    help="Minimum x-axis value.")
+parser.add_argument("--x_axis_max", dest="x_axis_max", type=float,
+    help="Maximum x-axis value.")
+parser.add_argument("--log_x", dest="log_x", action='store_true',
+    help="Set log scale on x-axis.")
+parser.add_argument("--log_y", dest="log_y", action='store_true',
+    help="Set log scale on y-axis.")
+parser.add_argument("--ratio_log_y", dest="ratio_log_y", action='store_true',
+    help="Set log scale on ratio y-axis.")
+parser.add_argument("--extra_pad", dest="extra_pad", type=float,
+    help="Fraction of extra whitespace at top of plot.")
+parser.add_argument("--signal_scale", dest="signal_scale", type=float,
+    help="Signal scale.")
+parser.add_argument("--draw_signal_mass", dest="draw_signal_mass", type=str,
+    help="Signal mass.")
+parser.add_argument("--draw_signal_tanb", dest="draw_signal_tanb", type=float,
+    help="Signal tanb.")
+parser.add_argument("--signal_scheme", dest="signal_scheme", type=str,
+    help="Signal scale.")
+parser.add_argument("--lumi", dest="lumi", type=str,
+    help="Lumi.")
+parser.add_argument("--no_plot", dest="no_plot", action='store_true',
+    help="If option is set then no pdf or png plots will be created only the output root file will be produced.")
+parser.add_argument("--ratio_range", dest="ratio_range", type=str,
+    help="y-axis range for ratio plot in format MIN,MAX")
+parser.add_argument("--do_custom_uncerts", dest="do_custom_uncerts", action='store_true',
+    help="Do custom uncertainty band. Up and down weights for this uncertainty band should be set using \"custom_uncerts_wt_up\" and \"custom_uncerts_wt_down\" options")
+parser.add_argument("--custom_uncerts_down_name", dest="custom_uncerts_down_name", type=str,
+    help="Name of histogram to use for uncertainty down band")
+parser.add_argument("--custom_uncerts_up_name", dest="custom_uncerts_up_name", type=str,
+    help="Name of histogram to use for uncertainty up band")
+parser.add_argument("--custom_uncerts_wt_up", dest="custom_uncerts_wt_up", type=str,
+    help="Up weight for custom uncertainty band")
+parser.add_argument("--custom_uncerts_wt_down", dest="custom_uncerts_wt_down", type=str,
+    help="Down weight for custom uncertainty band")
+parser.add_argument("--uncert_title", dest="uncert_title", type=str,
+    help="Custom uncertainty band legend label")
+parser.add_argument("--add_stat_to_syst", dest="add_stat_to_syst", action='store_true',
+    help="Add custom uncertainty band to statistical uncertainty.")
+parser.add_argument("--add_flat_uncert", dest="add_flat_uncert", type=float,
+    help="If set to non-zero will add a flat uncertainty band in quadrature to the uncertainty.")
+parser.add_argument("--add_wt", dest="add_wt", type=str,
+    help="Name of additional weight to be applied to all templates.")
+parser.add_argument("--do_ff_systs", dest="do_ff_systs", action='store_true',
+    help="Do fake-factor systamatic shifts.")
+parser.add_argument("--syst_efake_0pi_scale", dest="syst_efake_0pi_scale", type=str,
+    help="If this string is set then the e->tau dm=0 fake-rate systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_efake_1pi_scale", dest="syst_efake_1pi_scale", type=str,
+    help="If this string is set then the e->tau dm=1 fake-rate systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_mufake_0pi_scale", dest="syst_mufake_0pi_scale", type=str,
+    help="If this string is set then the mu->tau dm=0 fake-rate systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_mufake_1pi_scale", dest="syst_mufake_1pi_scale", type=str,
+    help="If this string is set then the mu->tau dm=1 fake-rate systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_jfake_scale", dest="syst_jfake_scale", type=str,
+    help="If this string is set then the j->tau fake-rate systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--scheme", dest="scheme", type=str,
+    help="Set plotting scheme")
+parser.add_argument("--syst_zpt_es", dest="syst_zpt_es", type=str,
+    help="If this string is set then the zpT muon ES systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_zpt_tt", dest="syst_zpt_tt", type=str,
+    help="If this string is set then the zpT tt X-section systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_zpt_statpt0", dest="syst_zpt_statpt0", type=str,
+    help="If this string is set then the zpT statistical pt0 systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_zpt_statpt40", dest="syst_zpt_statpt40", type=str,
+    help="If this string is set then the zpT statistical pt40 systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_zpt_statpt80", dest="syst_zpt_statpt80", type=str,
+    help="If this string is set then the zpT statistical pt80 systematic is performed with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_jfake_e", dest="syst_jfake_e", type=str,
+    help="If set, adds the e->jet fake rate uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_jfake_m", dest="syst_jfake_m", type=str,
+    help="If set, adds the e->jet fake rate uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_z_mjj", dest="syst_z_mjj", type=str,
+    help="If set then add the uncertainty on the Z mjj corrections")
+parser.add_argument("--syst_qcd_scale", dest="syst_qcd_scale", type=str,
+    help="If set then add the qcd scale uncertainty for ggH")
+parser.add_argument("--syst_quarkmass", dest="syst_quarkmass", type=str,
+    help="If set then add the finite quark mass uncertainty for ggH")
+parser.add_argument("--syst_ps", dest="syst_ps", type=str,
+    help="If set then add the PS uncertainty for ggH")
+parser.add_argument("--syst_ue", dest="syst_ue", type=str,
+    help="If set then add the UE uncertainty for ggH")
+parser.add_argument("--syst_mssm_ggh", dest="syst_mssm_ggh", action='store_true',
+    help="If set then add the ggH uncertainties for the MSSM (scale and Hdamp uncerts)")
+parser.add_argument("--syst_tau_id_dm0", dest="syst_tau_id_dm0", type=str,
+    help="If set, adds the tau dm = 0 id uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_id_dm1", dest="syst_tau_id_dm1", type=str,
+    help="If set, adds the tau dm = 1 id uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_tau_id_dm10", dest="syst_tau_id_dm10", type=str,
+    help="If set, adds the tau dm = 10 id uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_lfake_dm0", dest="syst_lfake_dm0", type=str,
+    help="If set, adds the e/mu->tau dm = 0 fake-rate uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_lfake_dm1", dest="syst_lfake_dm1", type=str,
+    help="If set, adds the e/mu->tau dm = 1 fake-rate uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_qcd_shape_wsf", dest="syst_qcd_shape_wsf", type=str,
+    help="If set, adds QCD shape uncertainty relating to W subtraction from SS data with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_met_unclustered", dest="syst_scale_met_unclustered", type=str,
+    help="If set, adds the unclustered energy MET uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_scale_met_clustered", dest="syst_scale_met_clustered", type=str,
+    help="If set, adds the clustered energy MET uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--gen_signal", dest="gen_signal", action='store_true',
+    help="If set then use generator-level tree for signal")
+parser.add_argument("--do_unrolling", dest="do_unrolling", type=int,
+    help="If argument is set to true will unroll 2D histograms into 1D histogram.")
+parser.add_argument("--no_default", dest="no_default", action='store_true',
+    help="If option is speficied then don't do nominal histograms.")
+parser.add_argument("--no_systs", dest="no_systs", action='store_true',
+    help="If option is speficied then don't do systematics histograms.")
+parser.add_argument("--extra_name", dest="extra_name", type=str,
+    help="If set, adds an additional string to the output datacard name")
+parser.add_argument("--embedding", dest="embedding", action='store_true',
+    help="If option is speficied then use embedded samples for ZTT templates.")
+parser.add_argument("--syst_embedding_tt", dest="syst_embedding_tt", type=str,
+    help="If set, adds systematic templates for embedding corresponding to TTbar shift of +/-10\% ")
+parser.add_argument("--syst_embed_pt", dest="syst_embed_pt", type=str,
+    help="If set, adds systematic templates for embedding corresponding to Z->mumu non-closures ")
+parser.add_argument("--vbf_background", dest="vbf_background", action='store_true',
+    help="Add VBF to total background template")
+parser.add_argument("--syst_em_qcd", dest="syst_em_qcd", type=str,
+    help="If set, adds the QCD shape uncertainties for the em channel. You string should contain *BIN")
+parser.add_argument("--syst_scale_met", dest="syst_scale_met", type=str,
+    help="If set, adds the recoil corrected MET response uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--syst_res_met", dest="syst_res_met", type=str,
+    help="If set, adds the recoil corrected MET resolution uncertainty with the set string appended to the resulting histogram name")
+parser.add_argument("--split_sm_scheme", dest="split_sm_scheme", action='store_true',
+    help="If set, splits the SM signal scheme into ggH, qqH and VH")
+parser.add_argument("--ggh_scheme", dest="ggh_scheme", type=str,
+    help="Decide which ggH scheme to plot with in split SM scheme mode (powheg or JHU)")
+parser.add_argument("--symmetrise", dest="symmetrise", action='store_true',
+    help="Use this option to symmetrise dijet Delta_phi bins in 2D histogram around centre bin")
+parser.add_argument("--mergeXbins", dest="mergeXbins", action='store_true',
+    help="Use this option to merge x bins to improve stats - to be used is the backgrounds are flat as a function of the X variable")
+parser.add_argument("--em_qcd_weight", dest="em_qcd_weight", type=str,
+    help="Define custom em QCD OSSS weight/function")
+parser.add_argument("--syst_qcd_bkg", dest="syst_qcd_bkg", type=str,
+    help="If set, adds systematic templates corresponding to shifting background subtraction in QCD method up/down by +/-10\% ")
+parser.add_argument("--syst_prefire", dest="syst_prefire", type=str,
+    help="If set, adds systematic templates corresponding to uncertainty on pre-firing correction.")
+parser.add_argument("--syst_tau_id_diff", dest="syst_tau_id_diff", type=str,
+    help="Do shape uncertainty corresponding to shifting the tau id SFs. The string you pass as the argument should contain either *DM, in which case the DM binned version will be used, or *PT in which base the pT binned version will be used.")
+parser.add_argument("--syst_tau_trg_diff", dest="syst_tau_trg_diff", type=str,
+    help="Do shape uncertainty corresponding to shifting the tau trigger SFs. The string you pass as the argument should contain either *DM which will be replaced with DMi for i=0,1,10,11")
+parser.add_argument("--syst_lep_trg_diff", dest="syst_lep_trg_diff", type=str,
+    help="Do shape uncertainty corresponding to shifting the lepton trigger SFs.")
+parser.add_argument("--ff_ss_closure", dest="ff_ss_closure", action='store_true',
+    help="If set then applies a non-closure correction to fake factor yields based on differences in SS data.")
+parser.add_argument("--threePads", dest="threePads", action='store_true',
+    help="If set then draws three pads (one ratio + additional).")
+parser.add_argument("--wp", dest="wp", type=str,
+    help="Tau ID working point to use (only works for mssmrun2).")
+parser.add_argument("--singletau", dest="singletau", action='store_true',
+    help="If set then use singletau baseline (only works for mssmrun2).")
+parser.add_argument("--qcd_ff_closure", dest="qcd_ff_closure", action='store_true',
+    help="Will run closure plot for QCD DR (mssmrun2)")
+parser.add_argument("--w_ff_closure", dest="w_ff_closure", action='store_true',
+    help="Will run closure plot for W DR (mssmrun2)")
+parser.add_argument("--bbh_masses_powheg", dest="bbh_masses_powheg", type=str,
+    help="SUSY bbh masses to run more powheg samples")
+parser.add_argument("--ggh_masses_powheg", dest="ggh_masses_powheg", type=str,
+    help="SUSY ggh masses to run more powheg samples")
+parser.add_argument("--bkg_comp", dest="bkg_comp", action='store_true',
+    help="Will plot the background composition on the 2nd pad and ratio on 3rd. Needs to be run with threePads.")
+parser.add_argument("--ml_ff", dest="ml_ff", action='store_true',
+    help="Use machine learning fake factors for mssmrun2.")
+parser.add_argument("--vlq_sig", dest="vlq_sig", type=str,
+    help="Comma separated list of signal parameter names i.e. vlq_betaRd33_minus1_mU4_gU1,vlq_betaRd33_minus1_mU4_gU2,vlq_betaRd33_minus1_mU4_gU3")
+parser.add_argument("--plot_signals", dest="plot_signals", type=str,
+    help="Comma separated list of what signals to plot")
+parser.add_argument("--DY_NLO", dest="DY_NLO", action='store_true',
+    help="Use DY NLO samples")
+parser.add_argument("--plot_from_dc", default="", type=str,
+      help="If not empty will draw plot straight from datacard")
+parser.add_argument("--v2p5", dest="v2p5", action='store_true',
+      help="Get version of DeepTau v2p5"),
+parser.add_argument("--no_qcd_subtract", dest="no_qcd_subtract", action='store_true',
+    help="Do not subtract background when estimating qcd events")
+parser.add_argument("--tt_qcd_sel_num", dest="tt_qcd_sel_num", type=int,
+    help="Change selection type for tt_qcd_norm")
+parser.add_argument("--scale_by_bin", dest="scale_by_bin", action='store_true',
+    help="Scale QCD by bin")
+options = parser.parse_args(remaining_argv)   
+
+print 'do_unrolling = %s' % options.do_unrolling 
+
+print ''
+print '################### Options ###################'
+print 'channel           = ' + options.channel
+print 'outputfolder      = ' + options.outputfolder
+print 'folder            = ' + options.folder
+print 'paramfile         = ' + options.paramfile
+print 'cat               = ' + options.cat
+print 'datacard          = ' + options.datacard
+print 'year              = ' + options.year
+print 'era               = ' + options.era
+print 'sel               = ' + options.sel
+print 'analysis          = ' + options.analysis
+print 'var               = ' + options.var
+print 'method            ='  ,  options.method
+print 'do_ss             ='  ,  options.do_ss
+print 'sm_masses         = ' +  options.sm_masses
+print 'ggh_masses        = ' +  options.ggh_masses
+print 'bbh_masses        = ' +  options.bbh_masses
+print 'qcd_os_ss_ratio   ='  ,  options.qcd_os_ss_ratio
+print 'add_sm_background ='  ,  options.add_sm_background
+print 'syst_tau_scale    ='  ,  options.syst_tau_scale
+print 'syst_eff_t        ='  ,  options.syst_eff_t
+print 'syst_tquark       ='  ,  options.syst_tquark
+print 'syst_zwt          ='  ,  options.syst_zwt
+print 'syst_w_fake_rate  ='  ,  options.syst_w_fake_rate
+print 'syst_scale_j      ='  ,  options.syst_scale_j
+print 'syst_eff_b        ='  ,  options.syst_eff_b
+print 'syst_fake_b       ='  ,  options.syst_fake_b
+print 'do_ff_systs       ='  ,  options.do_ff_systs
+print 'singletau         ='  ,  options.singletau
+print 'DY-NLO            ='  ,  options.DY_NLO
+print '###############################################'
+print ''
+
+# discrete x labels
+discrete_x_axis = False
+plot_var = options.var
+discrete_x_labels=None
+do_eq = False
+do_geq = False
+if  '[' in plot_var and ']' in plot_var:
+  discrete_x_labels = plot_var.split('[')[1].split(']')[0].split(',')
+  for i in discrete_x_labels:
+    if ">=" in i:
+      discrete_x_axis = True
+      do_geq = True
+    elif "==" in i:
+      discrete_x_axis = True
+      do_eq = True
+
+if discrete_x_axis:
+  if do_geq:
+    run_bins = []
+    for i in discrete_x_labels:
+      if ">=" in i:
+        run_bins.append(float(i.replace(">=","")))
+      elif "==" in i:
+        run_bins.append(float(i.replace("==","")))
+      else:
+        run_bins.append(float(i))
+  elif do_eq:
+    run_bins = range(int(discrete_x_labels[0].replace("==","")),int(discrete_x_labels[-1].replace("==",""))+2)  
+  options.var = plot_var.split('[')[0]+str(run_bins)
+else:
+  discrete_x_labels = None 
+
+
+# vbf_background = False
+vbf_background = options.vbf_background
+
+compare_w_shapes = False
+compare_qcd_shapes = False
+if options.scheme == "qcd_shape": compare_qcd_shapes = True
+if options.scheme == "w_shape": compare_w_shapes = True
+w_abs_shift=None # if not None then the QCD shape will be adjusted by shifting the W yield up and down by +/- w_abs_shift
+if options.era in ["mssmsummer16","smsummer16","cpsummer16","cpdecay16","legacy16","tauid2016","mvadm2016"]: options.lumi = "35.9 fb^{-1} (13 TeV)"
+if options.era in ['UL_16_preVFP']: options.lumi = "19.5 fb^{-1} (13 TeV)"
+if options.era in ['UL_16_postVFP']: options.lumi = "16.8 fb^{-1} (13 TeV)"
+
+
+
+
+# option to split the real tau events into rho, pi, a1, other
+split_taus=False
+if options.era == 'mvadm2016' and options.channel=='mt': split_taus=True
+
+cats = {}
+if options.analysis in ['sm','cpprod','cpdecay']:
+    if options.channel == 'mt':
+        cats['baseline'] = '(iso_1<0.15 && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
+        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: 
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>25&&pt_1<23)||(trg_singlemuon&&pt_1>23)))'
+        if options.era in ['tauid2017']:
+          cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && pt_1>25 && trg_singlemuon &&pt_2>20)'
+        if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>32&&pt_1<25)||(trg_singlemuon&&pt_1>25)) && wt<2)'
+        if options.era in ['tauid2016']: 
+          cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon && pt_1>23)'
+          cats['baseline_loosemu'] = '(iso_1<0.15 && antiele_2 && antimu_loose_2 && !leptonveto && trg_singlemuon && pt_1>23)'
+          cats['pass'] = 'mva_olddm_tight_2>0.5 && pzeta>-25'
+          cats['fail'] = 'mva_olddm_tight_2<0.5 && pzeta>-25'
+    elif options.channel == 'et': 
+        cats['baseline'] = '(iso_1<0.1  && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
+        if options.era in ['smsummer16']: 
+          cats['baseline'] = '(iso_1<0.1  && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
+          cats['baseline_aisotau'] = '(iso_1<0.1 && mva_olddm_vloose_2>0.5 && mva_olddm_tight_2<0.5 && antiele_2 && antimu_2 && leptonveto==0 && trg_singleelectron && pt_2>30)'
+        if options.era in ['tauid2016']: 
+          cats['baseline'] = '(iso_1<0.1 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
+          cats['baseline_loosemu'] = '(iso_1<0.1 && antiele_2 && antimu_loose_2 && !leptonveto && trg_singleelectron)'
+          cats['pass'] = 'mva_olddm_tight_2>0.5 && pzeta>-25'
+          cats['fail'] = 'mva_olddm_tight_2<0.5 && pzeta>-25'
+        if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP']:
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && leptonveto==0 && trg_singleelectron && fabs(wt<2))'
+        if options.era in ['cpsummer17','UL_17']:
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && leptonveto==0 && ((trg_etaucross&&pt_2>35&&pt_1<28&&fabs(eta_2)<2.1)||(trg_singleelectron&&pt_1>28)))'
+        if options.era in ['cp18', 'UL_18']:
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && !leptonveto && ((trg_etaucross&&pt_2>35&&pt_1<33&&fabs(eta_2)<2.1)||(trg_singleelectron&&pt_1>33)))'
+          #cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && ((trg_etaucross&&pt_2>35&&pt_1<33&&fabs(eta_2)<2.1 && fabs(eta_1-eta_2)>0.2)||(trg_singleelectron&&pt_1>33)))&&wt<2'
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && ((trg_etaucross&&pt_2>35&&pt_1<33&&fabs(eta_2)<2.1)||(trg_singleelectron&&pt_1>33)))&&wt<2'
+
+elif options.analysis in ['mssmrun2','vlq']:
+    wp = options.wp
+
+    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']:
+      m_lowpt=23
+      e_lowpt=26
+      t_highpt=120
+      t_lowpt_mt=25
+      t_lowpt_et=25
+    if options.era in ['cpsummer17','UL_17']:
+      m_lowpt=25
+      e_lowpt=28
+      t_highpt=180
+      t_lowpt_mt=32
+      t_lowpt_et=35
+    if options.era in ['cp18','UL_18']:
+      m_lowpt=25
+      e_lowpt=33
+      t_highpt=180
+      t_lowpt_mt=32
+      t_lowpt_et=35
+    if options.era in ['22']:
+      m_lowpt=25
+      e_lowpt=33
+      t_highpt=180
+      t_lowpt_mt=32
+      t_lowpt_et=35      
+
+    if options.channel == 'mt':
+        if options.singletau:
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && pt_2>30 && ((trg_mutaucross&&pt_2>%(t_lowpt_mt)s&&pt_2<%(t_highpt)s&&fabs(eta_2)<2.1&&pt_1<%(m_lowpt)s)||(trg_singlemuon&&pt_1>=%(m_lowpt)s)||(trg_singletau_2&&pt_2>=%(t_highpt)s&&fabs(eta_2)<2.1)))' % vars()
+        else:
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && pt_2>30 && ((trg_mutaucross&&pt_2>%(t_lowpt_mt)s&&fabs(eta_2)<2.1&&pt_1<%(m_lowpt)s)||(trg_singlemuon&&pt_1>=%(m_lowpt)s)))' % vars()
+
+    if options.channel == 'et':
+        if options.singletau:
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && pt_2>30 && ((trg_etaucross&&pt_2>%(t_lowpt_et)s&&pt_2<%(t_highpt)s&&fabs(eta_2)<2.1&&pt_1<%(e_lowpt)s)||(trg_singleelectron&&pt_1>=%(e_lowpt)s)||(trg_singletau_2&&pt_2>=%(t_highpt)s&&fabs(eta_2)<2.1)))' % vars()
+        else: 
+          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && pt_2>30 && ((trg_etaucross&&pt_2>%(t_lowpt_et)s&&fabs(eta_2)<2.1&&pt_1<%(e_lowpt)s)||(trg_singleelectron&&pt_1>=%(e_lowpt)s)))' % vars()
+        
+elif options.analysis == 'mssm':
+    if options.channel == 'mt':        
+        cats['baseline'] = '(iso_1<0.15 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
+    elif options.channel == 'et':
+        cats['baseline'] = '(iso_1<0.1  && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
+    if options.era == 'mssmsummer16':
+        if options.channel == 'mt':        
+            cats['baseline'] = '(iso_1<0.15 && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
+            cats['baseline_antiisotau'] = '(iso_1<0.15 && 1 && mva_olddm_tight_2<0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
+            cats['ichep_baseline'] = '(iso_1<0.15 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
+        elif options.channel == 'et':
+            cats['baseline'] = '(iso_1<0.1  && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
+            cats['baseline_antiisotau'] = '(iso_1<0.1 && mva_olddm_tight_2<0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
+            cats['ichep_baseline'] = '(iso_1<0.1 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
+        elif options.channel == 'mj':        
+            cats['baseline'] = '(iso_1<0.15 && !leptonveto)'
+if options.channel == 'tt':
+    cats['baseline'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
+    if options.era == 'mssmsummer16': cats['baseline'] = '(mva_olddm_medium_1>0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
+    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','mvadm2016']: 
+        cats['baseline'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau && pt_1>40)'
+        cats['baseline_aisotau1'] = '(pt_1>50 && mva_olddm_vloose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_tight_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
+        cats['baseline_aisotau2'] = '(pt_1>50 && mva_olddm_vloose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_tight_1>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
+        cats['baseline_aisotau2_sb'] = '(mva_olddm_vloose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && leptonveto==0 && trg_doubletau)'
+        cats['baseline_aisotau2_sb'] = '(mva_olddm_vloose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_tight_1<0.5 && mva_olddm_medium_1>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && leptonveto==0 && trg_doubletau)'
+    if options.era in ['cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP']:
+      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && trg_doubletau && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+    if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
+      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+    if options.era == '22':
+      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+
+    if options.analysis in ['mssmrun2','vlq']:
+      wp = options.wp
+      if options.singletau:
+        if options.era in['legacy16','UL_16_preVFP','UL_16_postVFP']:
+          cats['baseline'] = '(deepTauVsJets_%(wp)s_1>0.5 && deepTauVsJets_%(wp)s_2>0.5 && leptonveto==0 && (trg_doubletau || (pt_1>120 && trg_singletau_1) || (pt_2>120 && trg_singletau_2)) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
+        else:
+          cats['baseline'] = '(deepTauVsJets_%(wp)s_1>0.5 && deepTauVsJets_%(wp)s_2>0.5 && leptonveto==0 && (trg_doubletau || (pt_1>180 && trg_singletau_1) || (pt_2>180 && trg_singletau_2)) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
+      else:
+        cats['baseline'] = '(deepTauVsJets_%(wp)s_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
+       # cats['baseline'] = '(deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
+
+
+elif options.channel == 'em':
+    cats['baseline'] = '(iso_1<0.15 && iso_2<0.2 && !leptonveto)'
+    if options.era == 'mssmsummer16':
+      cats['loose_baseline'] = '(iso_1<0.5 && iso_2>0.2 && iso_2<0.5 && !leptonveto &&trg_muonelectron)'
+    elif options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']:
+      cats['loose_baseline'] = '(wt<2 && iso_1<0.15 && iso_2<0.5 && !leptonveto &&trg_muonelectron)'
+    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.15 && iso_2<0.2 && !leptonveto && trg_muonelectron && pt_1>15 && pt_2>15)'
+    if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
+        cats['baseline'] = '(iso_1<0.15 && iso_2<0.2 && !leptonveto && trg_muonelectron && pt_1>15 && pt_2>15)'
+        cats['loose_baseline'] = '(wt<2 && iso_1<0.15 && iso_2<0.5 && !leptonveto && trg_muonelectron)'
+elif options.channel == 'zmm':
+    cats['baseline'] = '(iso_1<0.15 && iso_2<0.15)'
+    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
+    if options.era in ['cpsummer17','UL_17','cp18','UL_18']: cats['baseline'] = '(pt_1>25 && iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
+elif options.channel == 'zee':
+    cats['baseline'] = '(iso_1<0.1 && iso_2<0.1)'
+    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.1 && iso_2<0.1 && trg_singleelectron && fabs(wt)<2)'
+
+    #if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(1)'
+
+    if options.era in ['cpsummer17','UL_17']: cats['baseline'] = '(pt_1>28&&pt_2>13&&iso_1<0.15 && iso_2<0.15 && trg_singleelectron && fabs(wt)<2)'
+
+    #if options.era in ['cpsummer17','UL_17']: cats['baseline'] = '(1)'
+
+    if options.era in ['cp18','UL_18']: 
+        cats['baseline'] = '(pt_1>33 && pt_2>13 && iso_1<0.15 && iso_2<0.15 && trg_singleelectron && fabs(wt)<2)'
+
+if options.analysis == 'cpdecay':
+  if options.channel in ['mt','et']: cats['baseline'] += ' && mva_dm_2>=0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && m_vis>40'
+  if options.channel in ['tt']: cats['baseline'] += ' && mva_dm_1>=0 && mva_dm_2>=0 && (mva_dm_1>=1&&tau_decay_mode_1==0)==0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && mva_dm_1<11 && mva_dm_2<11 && m_vis>40 && (mva_dm_1!=0 || ip_sig_1>1.5) && (mva_dm_2!=0 || ip_sig_2>1.5)'
+
+  cats['tt_loose_baseline'] = '((deepTauVsJets_medium_1>0.5 && deepTauVsJets_vvvloose_2>0.5 && deepTauVsJets_medium_2<0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2) && mva_dm_1>=0 && mva_dm_2>=0 && (mva_dm_1>=1&&tau_decay_mode_1==0)==0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && mva_dm_1<11 && mva_dm_2<11 && m_vis>40 && (mva_dm_1!=0 || ip_sig_1>1.5) && (mva_dm_2!=0 || ip_sig_2>1.5))'
+  cats['tt_loose_baseline_2'] = '((deepTauVsJets_medium_1>0.5 && deepTauVsJets_vvvloose_2>0.5 && deepTauVsJets_vvloose_2<0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2) && mva_dm_1>=0 && mva_dm_2>=0 && (mva_dm_1>=1&&tau_decay_mode_1==0)==0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && mva_dm_1<11 && mva_dm_2<11 && m_vis>40 && (mva_dm_1!=0 || ip_sig_1>1.5) && (mva_dm_2!=0 || ip_sig_2>1.5))'
+
+if options.w_ff_closure:
+  cats['baseline'] = '(' + cats['baseline'] + ' && mt_1>70 && n_deepbjets==0)'
+elif options.qcd_ff_closure:
+  if options.channel in ['et','mt']:
+    cats['baseline'] = '(' + cats['baseline'] + ' && mt_1<50 && iso_1>0.05)'
+    options.do_ss = True
+  elif options.channel == 'tt':
+    options.do_ss = True
+
+if options.analysis == 'cpprod':
+  if options.channel in ['mt','et']: cats['baseline'] += ' && pt_2>30'
+  if options.channel in ['tt']: cats['baseline'] += ' && pt_1>50'
+  cats['baseline'] = cats['baseline'].replace('deepTauVsEle_vvloose_2','deepTauVsEle_vvvloose_2').replace('deepTauVsEle_vvloose_1','deepTauVsEle_vvvloose_1')
+
+cats['baseline'] = cats['baseline'].replace('pt_2>30','pt_2>20') # delete me!!!
+#cats['baseline'] = cats['baseline'].replace('leptonveto','(extramuon_veto||extraelec_veto)') # delete me!!!
+
+cats['oneprong'] = '(tau_decay_mode_2<3)'
+cats['threeprong'] = '(tau_decay_mode_2>9)'
+cats['dm0'] = '(tau_decay_mode_2==0)'
+cats['dm1'] = '(tau_decay_mode_2==1)'
+cats['dm1_ptLt40'] = '(tau_decay_mode_2==1&&pt_2<40)'
+cats['inclusive_ptLt40'] = '(pt_2<40)'
+cats['dm10'] = '(tau_decay_mode_2==10)'
+cats['dm11'] = '(tau_decay_mode_2==11)'
+cats['pt20to30'] = '(pt_2>20&&pt_2<30)'
+cats['pt30to40'] = '(pt_2>30&&pt_2<40)'
+cats['pt40to60'] = '(pt_2>40&&pt_2<60)'
+cats['ptGt60'] = '(pt_2>60)'
+
+for x in ['pt20to30','pt30to40','pt40to60','ptGt60']:
+  cats['inclusive_'+x] = cats[x] 
+  for dm in [0,1,10,11]: cats['dm%i_%s' % (dm,x) ] = cats['dm%i' % dm] + '&&' + cats[x] 
+
+cats['baseline'] = cats['baseline'].replace('pt_2>30','pt_2>20') # delete me!!! - this is to select pT down to 20 for SF measurments!!!!!
+#cats['baseline'] = cats['baseline'].replace('leptonveto','(extramuon_veto||extraelec_veto)') # delete me!!! - this is to select pT down to 20 for SF measurments!!!!!
+
+cats['qcd_loose_shape'] = cats['baseline'].replace('iso_1<0.15','iso_1>0.05&&iso_1<0.3')
+
+cats['inclusive'] = '(1)'
+cats['wj_cut'] = "mt_1 < 40 && pt_1 > 40" 
+cats['w_os'] = 'os'
+cats['w_sdb'] = 'mt_1>70.'
+cats['pass'] = 'mva_olddm_tight_2>0.5 && pzeta>-25'
+cats['fail'] = 'mva_olddm_tight_2<0.5 && pzeta>-25'
+if options.era in ['smsummer16']: cats['w_sdb'] = 'mt_1>80.'
+cats['w_sdb_os'] = 'os'
+cats['tt_qcd_norm'] = '(mva_olddm_tight_1>0.5 && mva_olddm_medium_2>0.5 &&mva_olddm_tight_2<0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
+if options.era == 'mssmsummer16': cats['tt_qcd_norm'] = '(mva_olddm_medium_1>0.5 && mva_olddm_loose_2>0.5 &&mva_olddm_medium_2<0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
+if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['tt_qcd_norm'] = '(pt_1>40 && ((mva_olddm_loose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_medium_2>0.5) || (mva_olddm_loose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_1>0.5))  && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
+# if options.era in ['cpsummer17','cp18']: cats['tt_qcd_norm'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
+if options.tt_qcd_sel_num==0:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==1:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==2:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==3:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==4:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+elif options.tt_qcd_sel_num==5:
+  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_vloose_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+
+#medium vlose
+
+# CR categories
+cats['ztt_control'] = '(m_sv>60&&m_sv<100)'
+cats['ztt_control_dijet'] = '(m_sv>60&&m_sv<100 && n_jets>1)'
+if options.channel == 'em':
+  cats['ztt_control'] = '(m_sv>60&&m_sv<100 && n_bjets==0)'
+  cats['ztt_control_dijet'] = '(m_sv>60&&m_sv<100 && n_jets>1 && n_bjets==0)'
+
+# MSSM categories
+#cats['btag'] = '(n_bjets>=1)'
+#cats['nobtag'] = '(n_bjets==0)'
+# loose/tight iso-MT categories
+cats['atleast1bjet'] = '(n_bjets>0)'
+cats['btag_wnobtag']='(n_lowpt_jets>=1)' # this is the one that is used for the b-tag method 16!
+cats['0jet'] = '(n_jets==0)'
+cats['1jet'] = '(n_jets==1)'
+cats['ge2jet'] = '(n_jets>=2)'
+cats['btag_tight_wnobtag']='(n_lowpt_jets>=1)'
+cats['w_shape']=''
+cats['qcd_shape']=''
+cats['w_shape_comp']=''
+cats['qcd_shape_comp']=''
+cats['Nbtag0_NjetsGt1'] = '(n_deepbjets==0 && n_jets>0 && jpt_1>50 && m_vis>100)'
+
+# MSSM run 2 categories
+if options.channel == "tt":
+  cats['NbtagGt1'] = '(n_deepbjets>0)'
+  cats['Nbtag0'] = '(n_deepbjets==0)'
+elif options.channel in ["et","mt"]:
+  cats['NbtagGt1'] = '(n_deepbjets>0 && mt_1<70)'
+  cats['Nbtag0'] = '(n_deepbjets==0 && mt_1<70)'
+elif options.channel == "em":
+  cats['NbtagGt1'] = '(n_deepbjets>0 && pzeta>-35)'
+  cats['Nbtag0'] = '(n_deepbjets==0 && pzeta>-35)'
+
+cats['Nbtag0_MTLt40'] = '(n_deepbjets==0 && mt_1<40)'
+cats['Nbtag0_MT40To70'] = '(n_deepbjets==0 && mt_1>40 && mt_1<70)'
+cats['NbtagGt1_MTLt40'] = '(n_deepbjets>0 && mt_1<40)'
+cats['NbtagGt1_MT40To70'] = '(n_deepbjets>0 && mt_1>40 && mt_1<70)'
+
+cats['Nbtag0_MHGt250'] = '(n_deepbjets==0 && svfit_mass>250)'
+cats['Nbtag0_MHGt200'] = '(n_deepbjets==0 && svfit_mass>200)'
+
+cats['Nbtag0_MTLt40_MHGt250'] = '(n_deepbjets==0 && mt_1<40 && svfit_mass>250)'
+cats['Nbtag0_MT40To70_MHGt250'] = '(n_deepbjets==0 && mt_1>40 && mt_1<70 && svfit_mass>250)'
+
+cats['Nbtag0_MTLt40_MHGt200'] = '(n_deepbjets==0 && mt_1<40 && svfit_mass>200)'
+cats['Nbtag0_MT40To70_MHGt200'] = '(n_deepbjets==0 && mt_1>40 && mt_1<70 && svfit_mass>200)'
+
+cats['Nbtag1'] = '(n_deepbjets==1)'
+cats['Nbtag1_MTLt40'] = '(n_deepbjets==1 && mt_1<40)'
+cats['Nbtag1_MT40To70'] = '(n_deepbjets==1 && mt_1>40 && mt_1<70)'
+
+cats['Nbtag0_MTLt70'] = '(n_deepbjets==0 && mt_1<70)'
+cats['NbtagGt1_MTLt70'] = '(n_deepbjets>0 && mt_1<70)'
+cats['MTLt70'] = '(mt_1<70)'
+
+cats['tightmt'] = '(mt_1<40)'
+cats['loosemt'] = '(mt_1>40 && mt_1<70)'
+
+cats['wjets_control'] = '(mt_1>70 && n_deepbjets==0)'
+if options.channel == "tt":
+  cats['qcd_control'] = '(1)'
+elif options.channel in ["et","mt"]:
+  cats['qcd_control'] = 'mt_1<50 && iso_1>0.05'
+
+if options.cat == 'qcd_control':
+  options.do_ss = True
+
+cats['Nbtag0_DZetaGt30'] = '(n_deepbjets==0 && pzeta>30)'
+cats['Nbtag0_DZetam10To30'] = '(n_deepbjets==0 && pzeta<=30 && pzeta>-10)'
+cats['Nbtag0_DZetam35Tom10'] = '(n_deepbjets==0 && pzeta<=-10 && pzeta>-35)'
+cats['NbtagGt1_DZetaGt30'] ='(n_deepbjets>0 && pzeta>30)'
+cats['NbtagGt1_DZetam10To30'] ='(n_deepbjets>0 && pzeta<=30 && pzeta>-10)'
+cats['NbtagGt1_DZetam35Tom10'] ='(n_deepbjets>0 && pzeta<=-10 && pzeta>-35)'
+cats['NbtagGt1_DZetaLtm35'] = '(n_deepbjets>0 && pzeta<=-35)'
+
+cats['Nbtag0_DZetaGt30_MHGt250'] = '(n_deepbjets==0 && pzeta>30 && svfit_mass>250)'
+cats['Nbtag0_DZetam10To30_MHGt250'] = '(n_deepbjets==0 && pzeta<=30 && pzeta>-10 && svfit_mass>250)'
+cats['Nbtag0_DZetam35Tom10_MHGt250'] = '(n_deepbjets==0 && pzeta<=-10 && pzeta>-35 && svfit_mass>250)'
+
+cats['DZetaGtm35'] = '(pzeta>-35)'
+
+
+if options.channel == 'et': cats['baseline_loose'] = '(iso_1<0.3 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto &&  trg_singleelectron)'
+if options.channel == 'mt': cats['baseline_loose'] = '(iso_1<0.3 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto && (trg_singlemuon*(pt_1>23) || trg_mutaucross*(pt_1<23)))'
+
+# MVA DM categories for SF measurments
+cats['mvadm_pi'] = 'mvadm_pi_2>mvadm_rho_2&&mvadm_pi_2>mvadm_a1_2'
+cats['mvadm_rho'] = 'mvadm_rho_2>mvadm_pi_2&&mvadm_rho_2>mvadm_a1_2'
+cats['mvadm_a1'] = 'mvadm_a1_2>mvadm_pi_2&&mvadm_a1_2>mvadm_rho_2'
+cats['mvadm_rho'] = 'mvadm_rho_2>mvadm_pi_2&&mvadm_rho_2>mvadm_a1_2'
+cats['mvadm_notrho'] = '!(mvadm_rho_2>mvadm_pi_2&&mvadm_rho_2>mvadm_a1_2)'
+
+# SM categories
+cats['0jet'] = '(n_jets==0)'
+if options.channel == 'em': cats['0jet'] = '(n_jets==0 && n_bjets==0)'
+cats['vbf'] = '(0)'
+cats['twojets'] = '(n_jets>=2)'
+if options.channel == 'em': cats['vbf'] = '(n_jets==2 && mjj>300 && n_bjets==0)'
+if options.channel == 'et': cats['vbf'] = '(n_jets>=2 && mjj>300 && pt_tt>50)'
+if options.channel == 'mt': cats['vbf'] = '(n_jets>=2 && mjj>300 && pt_tt>50 && pt_2>40)'
+if options.channel == 'tt': cats['vbf'] = '(n_jets>=2 && pt_tt>100 && jdeta>2.5)'
+cats['boosted'] = '(!(%s) && !(%s))' % (cats['0jet'], cats['vbf'])
+if options.channel == 'em': cats['boosted'] = '(!(%s) && !(%s) && n_bjets==0)' % (cats['0jet'], cats['vbf'])
+
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] or options.analysis in ['cpprod']:
+  cats['ttbar'] = 'n_jets>0'  
+  if options.channel in ['mt','et']: 
+      cats['0jet'] = '(n_jets==0 && n_bjets==0 &&n_loose_bjets<2)'
+      cats['dijet']='n_jets>=2 && mjj>300 && n_bjets==0 &&n_loose_bjets<2'
+      cats['dijet_boosted']='%s && pt_tt>200' % cats['dijet']
+      cats['dijet_lowboost']='%s && pt_tt<200' % cats['dijet']
+      cats['dijet_loosemjj_boosted']='%s && mjj<500 && pt_tt>150' % cats['dijet']
+      cats['dijet_loosemjj_lowboost']='%s && mjj<500 && pt_tt<150' % cats['dijet']
+      cats['dijet_tightmjj_boosted']='%s && mjj>500 && pt_tt>150' % cats['dijet']
+      cats['dijet_tightmjj_lowboost']='%s && mjj>500 && pt_tt<150' % cats['dijet']
+      cats['boosted'] = '(!(%s) && !(%s) && n_bjets==0 &&n_loose_bjets<2)' % (cats['0jet'], cats['dijet'])
+      #cats['boosted'] = '(n_jets==1&& n_bjets==0)'
+  elif options.channel in ['em']:
+      cats['0jet'] = '(n_jets==0 && n_loose_bjets<2 && n_bjets==0)'
+      cats['dijet']='n_jets>=2 && mjj>300 && n_loose_bjets<2 && n_bjets==0 '
+      cats['dijet_boosted']='%s && pt_tt>200' % cats['dijet']
+      cats['dijet_lowboost']='%s && pt_tt<200' % cats['dijet']
+      cats['dijet_loosemjj_boosted']='%s && mjj<500 && pt_tt>150' % cats['dijet']
+      cats['dijet_loosemjj_lowboost']='%s && mjj<500 && pt_tt<150' % cats['dijet']
+      cats['dijet_tightmjj_boosted']='%s && mjj>500 && pt_tt>150' % cats['dijet']
+      cats['dijet_tightmjj_lowboost']='%s && mjj>500 && pt_tt<150' % cats['dijet']
+      cats['boosted'] = '(!(%s) && !(%s) &&n_loose_bjets<2 && n_bjets==0)' % (cats['0jet'], cats['dijet'])
+      #cats['boosted'] = '(n_jets==1&& n_bjets==0)'
+  else:    
+    cats['0jet'] = '(n_jets==0)'
+    cats['dijet']='n_jets>=2 && mjj>300'
+    cats['dijet_boosted']='%s && pt_tt>200' % cats['dijet']
+    cats['dijet_lowboost']='%s && pt_tt<200' % cats['dijet']
+    cats['dijet_loosemjj_boosted']='%s && mjj<500 && pt_tt>150' % cats['dijet']
+    cats['dijet_loosemjj_lowboost']='%s && mjj<500 && pt_tt<150' % cats['dijet']
+    cats['dijet_tightmjj_boosted']='%s && mjj>500 && pt_tt>150' % cats['dijet']
+    cats['dijet_tightmjj_lowboost']='%s && mjj>500 && pt_tt<150' % cats['dijet']
+
+    cats['boosted'] = '(!(%s) && !(%s))' % (cats['0jet'], cats['dijet'])
+    #cats['boosted'] = '(n_jets==1)'
+
+#cats['0jet'] = '(n_jets==0 && n_bjets==0)'
+cats['1jet'] = '(n_jets==1 && n_bjets==0)'
+cats['2jet'] = '(n_jets>=2 && n_bjets==0)'
+
+# SM ML categories
+
+if options.channel == 'tt':
+
+    mva_highMjj_ggh =      '(IC_highMjj_Oct05_max_index==0)'
+    mva_highMjj_jetFakes = '(IC_highMjj_Oct05_max_index==1)'
+    mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==2)'
+
+    mva_lowMjj_ggh =      '(IC_lowMjj_Oct05_max_index==0)'
+    mva_lowMjj_jetFakes = '(IC_lowMjj_Oct05_max_index==1)'
+    mva_lowMjj_misc =     '(IC_lowMjj_Oct05_max_index==2)'
+    mva_lowMjj_qqh =      '(IC_lowMjj_Oct05_max_index==2)'
+    mva_lowMjj_zttEmbed = '(IC_lowMjj_Oct05_max_index==3)'
+
+    # with simple mjj and pt_tt cuts like in Cutbased analysis
+    # cats['ggh_lowboost_highMjj'] =  '({} && n_jets>=2 && mjj>300 && mjj<500 && pt_tt<150)'.format(mva_highMjj_ggh)
+    # cats['ggh_boosted_highMjj'] =  '({} && n_jets>=2 && mjj>300 && mjj<500 && pt_tt>150)'.format(mva_highMjj_ggh)
+    # cats['qqh_lowboost_highMjj'] =  '({} && n_jets>=2 && mjj>500 && pt_tt<150)'.format(mva_highMjj_ggh)
+    # cats['qqh_boosted_highMjj'] =  '({} && n_jets>=2 && mjj>500 && pt_tt>150)'.format(mva_highMjj_ggh)
+    
+    # with binary ggH vs qqH mva
+    # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && IC_binary_Oct11_score>0.7)'.format(mva_highMjj_ggh)
+    # cats['ggh_lowboost_highMjj'] = '({} && n_jets>=2 && pt_tt<150 && mjj>300)'.format(mva_highMjj_ggh)
+    # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && pt_tt>150 && mjj>300)'.format(mva_highMjj_ggh)
+    # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
+    # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
+
+    # simplest mjj based qqH vs ggH
+    cats['ggh_highMjj'] =  '({} && n_jets>=2 && mjj>300 && mjj<500)'.format(mva_highMjj_ggh)
+    cats['qqh_highMjj'] =  '({} && n_jets>=2 && mjj>500)'.format(mva_highMjj_ggh)
+    cats['zttEmbed_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zttEmbed)
+    cats['jetFakes_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_jetFakes)
+
+    cats['ggh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_ggh)
+    cats['misc_lowMjj'] = '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_misc)
+    cats['qqh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qqh)
+    cats['zttEmbed_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zttEmbed)
+    cats['jetFakes_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_jetFakes)
+
+if options.channel in ['et','mt']:
+
+    mva_highMjj_ggh =      '(IC_highMjj_Oct05_max_index==0)'
+    mva_highMjj_jetFakes = '(IC_highMjj_Oct05_max_index==1)'
+    mva_highMjj_tt =       '(IC_highMjj_Oct05_max_index==2)'
+    if options.channel == 'et':
+        mva_highMjj_zll      = '(IC_highMjj_Oct05_max_index==3)'
+        mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==4)'
+    else:
+        mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==3)'
+
+    mva_lowMjj_ggh =      '(IC_lowMjj_Oct05_max_index==0)'
+    mva_lowMjj_jetFakes = '(IC_lowMjj_Oct05_max_index==1)'
+    mva_lowMjj_qqh =      '(IC_lowMjj_Oct05_max_index==2)'
+    mva_lowMjj_tt =       '(IC_lowMjj_Oct05_max_index==3)'
+    mva_lowMjj_zll =      '(IC_lowMjj_Oct05_max_index==4)'
+    mva_lowMjj_zttEmbed = '(IC_lowMjj_Oct05_max_index==5)'
+
+    # if options.channel == 'et':
+        # latest one with binary MVA
+        # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
+        # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
+        # cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score<0.5)'.format(mva_highMjj_ggh)
+        # cats['qqh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score<0.5)'.format(mva_highMjj_ggh)
+
+    # else:
+        # latest ones with binary MVA
+        # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 &&IC_binary_Oct11_score>0.45)'.format(mva_highMjj_ggh)
+        # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.45)'.format(mva_highMjj_ggh)
+        # cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score<0.45)'.format(mva_highMjj_ggh)
+        # cats['qqh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score<0.45)'.format(mva_highMjj_ggh)
+
+    cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && mjj<500)'.format(mva_highMjj_ggh)
+    cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>500)'.format(mva_highMjj_ggh)
+    cats['tt_highMjj'] =   '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_tt)
+    if options.channel == 'et':
+        cats['zll_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zll)
+    cats['zttEmbed_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zttEmbed)
+    cats['jetFakes_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_jetFakes)
+
+    cats['jetFakes_lowMjj'] = '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_jetFakes)
+    cats['ggh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_ggh)
+    cats['qqh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qqh)
+    cats['tt_lowMjj'] =   '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_tt)
+    cats['zll_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zll)
+    cats['zttEmbed_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zttEmbed)
+
+if options.channel == 'em':
+
+    mva_highMjj_ggh =      '(IC_highMjj_Oct05_max_index==0)'
+    mva_highMjj_tt =       '(IC_highMjj_Oct05_max_index==1)'
+    mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==2)'
+
+    mva_lowMjj_ggh =      '(IC_lowMjj_Oct05_max_index==0)'
+    mva_lowMjj_qcd =      '(IC_lowMjj_Oct05_max_index==1)'
+    mva_lowMjj_qqh =      '(IC_lowMjj_Oct05_max_index==2)'
+    mva_lowMjj_tt =       '(IC_lowMjj_Oct05_max_index==3)'
+    mva_lowMjj_zttEmbed = '(IC_lowMjj_Oct05_max_index==4)'
+
+    # latest one with binary MVA
+    # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score>0.55)'.format(mva_highMjj_ggh)
+    # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.55)'.format(mva_highMjj_ggh)
+    # cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score<0.55)'.format(mva_highMjj_ggh)
+    # cats['qqh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score<0.55)'.format(mva_highMjj_ggh)
+
+    cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && mjj<500)'.format(mva_highMjj_ggh)
+    cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>500)'.format(mva_highMjj_ggh)
+    cats['tt_highMjj'] =   '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_tt)
+    cats['zttEmbed_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zttEmbed)
+
+    cats['ggh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_ggh)
+    cats['qcd_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qcd)
+    cats['qqh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qqh)
+    cats['tt_lowMjj'] =   '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_tt)
+    cats['zttEmbed_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zttEmbed)
+
+# CP in decays categories
+if options.channel in ["mt","et"]:
+    cats["inclusive_mixed"]         = "(tau_decay_mode_2==1)"
+    cats["dijet_mixed"]             = "(n_jets>=2 && mjj>300)"
+    cats["0jet_mixed"]              = "({} && {})".format(cats["0jet"], cats["inclusive_mixed"])
+    cats["dijet_boosted_mixed"]     = "({} && pt_tt>100 && {})".format(cats["dijet_mixed"] ,cats["inclusive_mixed"])
+    cats["dijet_lowboost_mixed"]    = "({} && pt_tt<100 && {})".format(cats["dijet_mixed"] ,cats["inclusive_mixed"])
+    cats["boosted_mixed"]               = "(!{} && !({}) && {})".format(cats["0jet"], cats["dijet_mixed"], cats["inclusive_mixed"])
+
+    # MVA multiclass categories
+    cut_string = ""
+    if options.channel == "et":
+        cut_string = "IC_Apr02"
+    elif options.channel == "mt":
+        cut_string = "IC_Nov25_tauspinner"
+    mva_ggh      = '({}_max_index==0)'.format(cut_string)
+    mva_jetFakes = '({}_max_index==1)'.format(cut_string)
+    mva_zttEmbed = '({}_max_index==2)'.format(cut_string)
+
+    # apply b jet veto as done in training (to remove ttbar)
+    cats['higgs']     = '({} && n_bjets==0)'.format(mva_ggh)
+    cats['zttEmbed']  = '({} && n_bjets==0)'.format(mva_zttEmbed)
+    cats['jetFakes']  = '({} && n_bjets==0)'.format(mva_jetFakes)
+
+    cats["mva_mupi"]  = "(tau_decay_mode_2==0 && mva_dm_2==0)" # aco_angle_6 (ip)
+    cats["mva_murho"] = "(tau_decay_mode_2==1 && mva_dm_2==1)" # aco_angle_5 (planes) 6 (ip)
+    cats["mva_mua1"]  = "(tau_decay_mode_2>=10 && mva_dm_2==10)" # aco_angle_5 (planes)
+
+    cats["higgs_mvaMuPi"]  = "{} && {} && n_bjets==0".format(cats["higgs"],cats["mva_mupi"])
+    cats["higgs_mvaMuRho"] = "{} && {} && n_bjets==0".format(cats["higgs"],cats["mva_murho"])
+    cats["higgs_mvaMuA1"]  = "{} && {} && n_bjets==0".format(cats["higgs"],cats["mva_mua1"])
+
+    cats["inclusive_mupi"]  = "(tau_decay_mode_2==0)"
+    cats["inclusive_murho"] = "(tau_decay_mode_2==1)"
+
+if options.channel == 'tt':
+
+# start fresh here
+    cats["inclusive_rhorho"]       = "(tau_decay_mode_1==1 && tau_decay_mode_2==1)"
+    cats["inclusive_pirho"]       = "((tau_decay_mode_1==1 && tau_decay_mode_2==0 && ip_sig_2>=1.5) || (tau_decay_mode_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==1))"
+    cats["inclusive_a1rho"]     = "((tau_decay_mode_1==10 && tau_decay_mode_2==1) || (tau_decay_mode_1==1 && tau_decay_mode_2==10))"
+    cats["inclusive_a1pi"]     = "((tau_decay_mode_1==10 && tau_decay_mode_2==0 && ip_sig_2>=1.5) || (tau_decay_mode_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==10))"
+    cats["inclusive_a1a1"]     = "(tau_decay_mode_1==10 && tau_decay_mode_2==10)"
+    cats["inclusive_pipi"]     = "(tau_decay_mode_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==0 && ip_sig_2>=1.5)"
+
+
+    cats["inclusive_mvapirho_up"]       = "((tau_decay_mode_1==1 && mva_dm_1==1 && ip_sig_2_up>=1.5 && mva_dm_2==0) || (ip_sig_1_up>=1.5 && mva_dm_1==0 && tau_decay_mode_2==1 && mva_dm_2==1))"
+    cats["inclusive_mvaa1pi_up"]     = "((mva_dm_1==10 && ip_sig_2_up>=1.5 && mva_dm_2==0) || (ip_sig_1_up>=1.5 && mva_dm_1==0 && mva_dm_2==10))"
+    cats["inclusive_mvapipi_up"]     = "(mva_dm_1==0 && ip_sig_1_up>=1.5 && ip_sig_2_up>=1.5 && mva_dm_2==0)"
+    cats["inclusive_mvapi0a1_up"]     = "((mva_dm_1==0 && ip_sig_1_up>=1.5 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==0 && ip_sig_2_up>=1.5))"
+
+    cats["inclusive_mvapirho_down"]       = "((tau_decay_mode_1==1 && mva_dm_1==1 && ip_sig_2_down>=1.5 && mva_dm_2==0) || (ip_sig_1_down>=1.5 && mva_dm_1==0 && tau_decay_mode_2==1 && mva_dm_2==1))"
+    cats["inclusive_mvaa1pi_down"]     = "((mva_dm_1==10 && ip_sig_2_down>=1.5 && mva_dm_2==0) || (ip_sig_1_down>=1.5 && mva_dm_1==0 && mva_dm_2==10))"
+    cats["inclusive_mvapipi_down"]     = "(mva_dm_1==0 && ip_sig_1_down>=1.5 && ip_sig_2_down>=1.5 && mva_dm_2==0)"
+    cats["inclusive_mvapi0a1_down"]     = "((mva_dm_1==0 && ip_sig_1_down>=1.5 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==0 && ip_sig_2_down>=1.5))"
+
+    cats["inclusive_mvarhorho"]       = "(tau_decay_mode_1==1 && mva_dm_1==1 && tau_decay_mode_2==1 && mva_dm_2==1)"
+    cats["inclusive_mvapirho"]       = "((tau_decay_mode_1==1 && mva_dm_1==1 && ip_sig_2>=1.5 && mva_dm_2==0) || (ip_sig_1>=1.5 && mva_dm_1==0 && tau_decay_mode_2==1 && mva_dm_2==1))"
+    cats["inclusive_mvaa1rho"]     = "((mva_dm_1==10 && tau_decay_mode_2==1 && mva_dm_2==1) || (tau_decay_mode_1==1 && mva_dm_1==1 && mva_dm_2==10))"
+    cats["inclusive_mvaa1pi"]     = "((mva_dm_1==10 && ip_sig_2>=1.5 && mva_dm_2==0) || (ip_sig_1>=1.5 && mva_dm_1==0 && mva_dm_2==10))"
+    cats["inclusive_mvaa1a1"]     = "(mva_dm_1==10 && mva_dm_2==10)"
+    cats["inclusive_mvapipi"]     = "(mva_dm_1==0 && ip_sig_1>=1.5 && ip_sig_2>=1.5 && mva_dm_2==0)"
+    cats["inclusive_mvapi0a1"]     = "((mva_dm_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==0 && ip_sig_2>=1.5))"
+    cats["inclusive_mvarho0a1"]     = "(tau_decay_mode_1==1 && tau_decay_mode_2==1 && ((mva_dm_1==1&&mva_dm_2==2) || (mva_dm_1==2&&mva_dm_2==1) || (mva_dm_1==2&&mva_dm_2==2)))"
+    cats["inclusive_mvaa10a1"]     = "((mva_dm_1==10 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==10))"
+
+    #mva_ggh                = '(svfit_mass>100&&svfit_mass<150)'
+    #mva_jetFakes           = '(svfit_mass>150)'
+    #mva_zttEmbed           = '(svfit_mass<100)'
+
+    cut_string = "IC_01Jun2020"
+    mva_ggh      = '({}_max_index==0)'.format(cut_string)
+    mva_jetFakes = '({}_max_index==1)'.format(cut_string)
+    mva_zttEmbed = '({}_max_index==2)'.format(cut_string)
+
+
+    cats['higgs_mvarhorho']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvarhorho"])
+    cats['zttEmbed_mvarhorho']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvarhorho"])
+    cats['jetFakes_mvarhorho']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvarhorho"])
+    cats['higgs_mvapirho']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapirho"])
+    cats['zttEmbed_mvapirho']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvapirho"])
+    cats['jetFakes_mvapirho']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvapirho"])
+    cats['higgs_mvaa1rho']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1rho"])
+    cats['zttEmbed_mvaa1rho']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa1rho"])
+    cats['jetFakes_mvaa1rho']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa1rho"])
+    cats['higgs_mvaa1pi']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1pi"])
+    cats['zttEmbed_mvaa1pi']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa1pi"])
+    cats['jetFakes_mvaa1pi']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa1pi"])
+    cats['higgs_mvaa1a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1a1"])
+    cats['higgs_mvaa1a1_sync']      = '({} && {} && tau_decay_mode_1==10 && tau_decay_mode_2==10 && a1_flag)'.format(mva_ggh, cats["inclusive_mvaa1a1"])
+    cats['zttEmbed_mvaa1a1']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa1a1"])
+    cats['jetFakes_mvaa1a1']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa1a1"])
+    cats['higgs_mvapipi']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapipi"])
+    cats['zttEmbed_mvapipi']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvapipi"])
+    cats['jetFakes_mvapipi']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvapipi"])
+    cats['higgs_mvapi0a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapi0a1"])
+    cats['zttEmbed_mvapi0a1']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvapi0a1"])
+    cats['jetFakes_mvapi0a1']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvapi0a1"])
+    cats['higgs_mvarho0a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvarho0a1"])
+    cats['zttEmbed_mvarho0a1']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvarho0a1"])
+    cats['jetFakes_mvarho0a1']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvarho0a1"])
+
+
+    cats['higgs_mvaa10a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa10a1"])
+
+    cats['zttEmbed_mvaa10a1']      = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa10a1"])
+    cats['jetFakes_mvaa10a1']      = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa10a1"])
+
+    cats['higgs']      = '({} && (mva_dm_1==0&&ip_sig_1<1.5)==0 && (mva_dm_2==0&&ip_sig_2<1.5)==0)'.format(mva_ggh)
+    cats['zttEmbed']   = '({} && (mva_dm_1==0&&ip_sig_1<1.5)==0 && (mva_dm_2==0&&ip_sig_2<1.5)==0)'.format(mva_zttEmbed)
+    cats['jetFakes']   = '({} && (mva_dm_1==0&&ip_sig_1<1.5)==0 && (mva_dm_2==0&&ip_sig_2<1.5)==0)'.format(mva_jetFakes)
+
+    cats['higgs_up']      = '({} && (mva_dm_1==0&&ip_sig_1_up<1.5)==0 && (mva_dm_2==0&&ip_sig_2_up<1.5)==0)'.format(mva_ggh)
+    cats['zttEmbed_up']   = '({} && (mva_dm_1==0&&ip_sig_1_up<1.5)==0 && (mva_dm_2==0&&ip_sig_2_up<1.5)==0)'.format(mva_zttEmbed)
+    cats['jetFakes_up']   = '({} && (mva_dm_1==0&&ip_sig_1_up<1.5)==0 && (mva_dm_2==0&&ip_sig_2_up<1.5)==0)'.format(mva_jetFakes)
+
+    cats['higgs_down']      = '({} && (mva_dm_1==0&&ip_sig_1_down<1.5)==0 && (mva_dm_2==0&&ip_sig_2_down<1.5)==0)'.format(mva_ggh)
+    cats['zttEmbed_down']   = '({} && (mva_dm_1==0&&ip_sig_1_down<1.5)==0 && (mva_dm_2==0&&ip_sig_2_down<1.5)==0)'.format(mva_zttEmbed)
+    cats['jetFakes_down']   = '({} && (mva_dm_1==0&&ip_sig_1_down<1.5)==0 && (mva_dm_2==0&&ip_sig_2_down<1.5)==0)'.format(mva_jetFakes)
+
+    cats['higgs_mvaother']    = '({} && !({}||{}||{}||{}||{}||{}||{}||{}||{}))'\
+            .format(mva_ggh, cats["higgs_mvarhorho"], cats["higgs_mvapirho"], cats["higgs_mvaa1rho"], cats["higgs_mvaa1pi"], cats["higgs_mvaa1a1"], cats["higgs_mvapipi"], cats["higgs_mvapi0a1"], cats["higgs_mvarho0a1"], cats["higgs_mvaa10a1"])
+
+    cats['higgs_mvapirho_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapirho_up"])
+    cats['higgs_mvaa1pi_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1pi_up"])
+    cats['higgs_mvapipi_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapipi_up"])
+    cats['higgs_mvapi0a1_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapi0a1_up"])
+
+    cats['higgs_mvapirho_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapirho_down"])
+    cats['higgs_mvaa1pi_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1pi_down"])
+    cats['higgs_mvapipi_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapipi_down"])
+    cats['higgs_mvapi0a1_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapi0a1_down"])
+
+# 2016 sm analysis uses relaxed shape selections for W + QCD processes in et and mt channel, these are set here
+if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: # Remove the False when finished!!!!!
+    if options.channel in ['et','mt'] and options.cat in ['boosted','vbf','dijet','dijet_lowboost','dijet_boosted',
+            # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
+            # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
+            ]:
+        cats['qcd_shape'] = '('+cats['baseline_loose']+')*('+cats[options.cat]+')'
+    if options.cat in ['boosted','vbf','dijet','dijet_lowboost','dijet_boosted',
+            # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
+            # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
+            ]:
+        cats['w_shape'] = cats['qcd_shape']
+
+
+# Overwrite selection depending on whether tight or loose-mt categories is chosen - this can still be overwritten from command line using the --set_alias=sel:(...) option
+#if options.cat == 'nobtag_tightmt' or options.cat == 'btag_tightmt':
+#    if options.channel == 'mt' or options.channel == 'et': options.sel = '(mt_1<50)'
+#if options.cat == 'nobtag_loosemt' or options.cat == 'btag_loosemt':
+#    if options.channel == 'mt' or options.channel == 'et': options.sel = '(mt_1<70 && mt_1>50)'
+
+if options.era == "mssmsummer16":
+    if options.channel == "em": cats['baseline']+=" && trg_muonelectron"
+    if options.channel == "et" or options.channel == 'zee': cats['baseline']+=" && trg_singleelectron"
+    if options.channel in ['mt','zmm','mj']: cats['baseline']+=" && trg_singlemuon"
+    if options.channel == "tt": cats['baseline']+=" && trg_doubletau" 
+
+#Overwrite any category selections if the --set_alias option is used
+for i in options.set_alias:
+    cat_to_overwrite = i.split(':')[0]
+    cat_to_overwrite=cat_to_overwrite.replace("\"","")
+    overwrite_with = i.split(':')[1]
+    overwrite_with=overwrite_with.replace("\"","")
+    start_index=overwrite_with.find("{")
+    end_index=overwrite_with.find("}")
+    while start_index >0:
+        replace_with=overwrite_with[start_index:end_index+1]
+        replace_with=replace_with.replace("{","")
+        replace_with=replace_with.replace("}","")
+        replace_string = cats[replace_with]
+        overwrite_with=overwrite_with[0:start_index] + replace_string  + overwrite_with[end_index+1:]
+        start_index=overwrite_with.find("{")
+        end_index=overwrite_with.find("}")
+
+    print 'Overwriting alias: \"'+cat_to_overwrite+'\" with selection: \"'+overwrite_with+'\"'
+    if cat_to_overwrite == 'sel':
+        options.sel = overwrite_with
+    else:
+        cats[cat_to_overwrite] = overwrite_with
+if options.v2p5 == True:
+   for key in cats:
+      cats[key] = cats[key].replace('deepTauVsJets','deepTauVsJetsV2p5').replace('deepTauVsEle','deepTauVsEleV2p5').replace('deepTauVsMu','deepTauVsMuV2p5').replace('iso_2','iso_2_V2p5')
+
+if options.do_aiso:
+  # overwrite electron/muon isolation cut in baseline
+  cats['baseline'] = cats['baseline'].replace('iso_1<0.15','iso_1>0.15&&iso_1<0.5')
+
+# Additional selections to seperate MC samples by gen flags
+z_sels = {}
+if options.channel == 'et':
+    z_sels['ztt_sel'] = '(gen_match_2==5)'
+    z_sels['zl_sel'] = '(gen_match_2<5)'
+    z_sels['zj_sel'] = '(gen_match_2==6)'
+elif options.channel in ['mt','mj']:
+    z_sels['ztt_sel'] = '(gen_match_2==5)'
+    z_sels['zl_sel'] = '(gen_match_2<5)'
+    z_sels['zj_sel'] = '(gen_match_2==6)'
+elif options.channel in ['mj']:
+    z_sels['ztt_sel'] = '(0)'
+    z_sels['zl_sel'] = '(0)'
+    z_sels['zj_sel'] = '(1)'
+elif options.channel == 'tt':
+    z_sels['ztt_sel'] = '(gen_match_1==5&&gen_match_2==5)'
+    z_sels['zl_sel'] = '(gen_match_2<6&&gen_match_1<6&&!(gen_match_1==5&&gen_match_2==5))'
+    z_sels['zj_sel'] = '(gen_match_2==6||gen_match_1==6)'
+elif options.channel == 'em':
+    z_sels['ztt_sel'] = '(gen_match_1>2 && gen_match_2>3)'
+    z_sels['zll_sel'] = '(gen_match_1<3 || gen_match_2<4)'
+elif options.channel == 'zee' or  options.channel == 'zmm':
+    z_sels['ztt_sel'] = '(gen_match_1>2&&gen_match_1<6 && gen_match_2>2&&gen_match_2<6)'
+    if options.channel == 'zmm': z_sels['zl_sel'] = '(gen_match_1==2&&gen_match_2==2)'
+    else: z_sels['zl_sel'] = '(gen_match_1==1&&gen_match_2==1)'
+    z_sels['zj_sel'] = '(!('+z_sels['zl_sel']+') && !('+z_sels['ztt_sel']+'))'
+
+top_sels = {}
+vv_sels = {}
+top_sels['ttt_sel'] = z_sels['ztt_sel']
+top_sels['ttj_sel'] = '!('+z_sels['ztt_sel']+')'
+vv_sels['vvt_sel'] = z_sels['ztt_sel']
+vv_sels['vvj_sel'] = '!('+z_sels['ztt_sel']+')'
+
+if options.channel == 'zee' or  options.channel == 'zmm':
+  top_sels['ttt_sel'] = z_sels['zl_sel']
+  top_sels['ttj_sel'] = '!('+z_sels['zl_sel']+')'
+  vv_sels['vvt_sel'] = z_sels['zl_sel']
+  vv_sels['vvj_sel'] = '!('+z_sels['zl_sel']+')'
+
+
+top_sels_embed = {}
+if options.channel == 'mt': top_sels_embed['ttt_sel'] = '((gen_match_1 == 4) && (gen_match_2 == 5))'
+if options.channel == 'et': top_sels_embed['ttt_sel'] = '((gen_match_1 == 3) && (gen_match_2 == 5))'
+if options.channel == 'tt': top_sels_embed['ttt_sel'] = '((gen_match_1 == 5) && (gen_match_2 == 5))'
+if options.channel == 'em': top_sels_embed['ttt_sel'] = '((gen_match_1 == 3) && (gen_match_2 == 4))'
+if options.channel in ['zmm']: top_sels_embed['ttt_sel'] = '((gen_match_1 == 2) && (gen_match_2 == 2))'
+if options.channel in ['zee']: top_sels_embed['ttt_sel'] = '((gen_match_1 == 1) && (gen_match_2 == 1))'
+
+top_sels_embed['vvt_sel'] = top_sels_embed['ttt_sel']
+
+if options.channel in ['et','mt','mj']:
+  vv_sels['vvt_sel'] = '(gen_match_2<6)'
+  vv_sels['vvj_sel'] = '(gen_match_2==6)'
+  top_sels['ttt_sel'] = '(gen_match_2<6)' 
+  top_sels['ttj_sel'] = '(gen_match_2==6)'
+elif options.channel == 'tt':
+  vv_sels['vvt_sel'] = '(gen_match_1<6 && gen_match_2<6)'
+  vv_sels['vvj_sel'] = '(!(gen_match_1<6 && gen_match_2<6))'
+  top_sels['ttt_sel'] = '(gen_match_1<6 && gen_match_2<6)' 
+  top_sels['ttj_sel'] = '(!(gen_match_1<6 && gen_match_2<6))'
+if options.channel in ['mj']:
+  vv_sels['vvt_sel'] = '(0)'
+  vv_sels['vvj_sel'] = '(1)'
+  top_sels['ttt_sel'] = '(0)' 
+  top_sels['ttj_sel'] = '(1)'
+  
+if options.era in ["smsummer16"]:
+  if options.channel in ['mt','et']:
+    z_sels['ztt_sel'] = '(gen_match_2==5)'
+    z_sels['zl_sel'] = '(gen_match_2!=6&&gen_match_2!=5)'
+    z_sels['zj_sel'] = '(gen_match_2==6)'  
+    vv_sels['vvt_sel'] = '(gen_match_2==5)'
+    vv_sels['vvj_sel'] = '(gen_match_2!=5)'
+    top_sels['ttt_sel'] = '(gen_match_2==5)' 
+    top_sels['ttj_sel'] = '(gen_match_2!=5)'    
+  elif options.channel == 'tt':
+    z_sels['ztt_sel'] = '(gen_match_1==5&&gen_match_2==5)'
+    z_sels['zl_sel'] = '(!(gen_match_1==6 || gen_match_2==6) && !(gen_match_1==5&&gen_match_2==5))'
+    z_sels['zj_sel'] = '(gen_match_1==6 || gen_match_2==6)'  
+    vv_sels['vvt_sel'] = '(gen_match_1==5 && gen_match_2==5)'
+    vv_sels['vvj_sel'] = '(!(gen_match_1==5 && gen_match_2==5))'
+    top_sels['ttt_sel'] = '(gen_match_1==5 && gen_match_2==5)' 
+    top_sels['ttj_sel'] = '(!(gen_match_1==5 && gen_match_2==5))'
+
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016','22']:
+  # define these selections to make them more compatible with the fake-factor method and embedded samples
+  if options.channel =='em':
+    z_sels['zll_sel'] = '(!(gen_match_2==4 && gen_match_1==3))'
+    z_sels['ztt_sel'] = '(gen_match_2==4 && gen_match_1==3)'
+    top_sels['ttt_sel'] = '(gen_match_2==4 && gen_match_1==3)'
+    top_sels['ttj_sel'] = '!(gen_match_2==4 && gen_match_1==3)'
+    vv_sels['vvt_sel'] = '(gen_match_2==4 && gen_match_1==3)'
+    vv_sels['vvj_sel'] = '!(gen_match_2==4 && gen_match_1==3)'
+  if options.channel =='mt':
+    z_sels['ztt_sel'] = '(gen_match_2==5 && gen_match_1==4)'
+  if options.channel =='et':
+    z_sels['ztt_sel'] = '(gen_match_2==5 && gen_match_1==3)'
+  if options.channel in ['mt','et']:
+    z_sels['zj_sel'] = '(gen_match_2==6)'
+    z_sels['zl_sel'] = '(gen_match_2!=6&&!(%s))' % z_sels['ztt_sel']
+    vv_sels['vvt_sel'] = '(gen_match_2<6)'
+    vv_sels['vvj_sel'] = '(gen_match_2==6)'
+    top_sels['ttt_sel'] = '(gen_match_2<6)'
+    top_sels['ttj_sel'] = '(gen_match_2==6)'
+  elif options.channel == 'tt':
+    z_sels['ztt_sel'] = '(gen_match_1==5&&gen_match_2==5)'
+    z_sels['zl_sel'] = '(!(gen_match_1==6 || gen_match_2==6) && !(gen_match_1==5&&gen_match_2==5))'
+    z_sels['zj_sel'] = '(gen_match_1==6 || gen_match_2==6)'
+    vv_sels['vvt_sel'] = '(!(gen_match_1==6 || gen_match_2==6))'
+    vv_sels['vvj_sel'] = '(gen_match_1==6 || gen_match_2==6)'
+    top_sels['ttt_sel'] = '(!(gen_match_1==6 || gen_match_2==6))'
+    top_sels['ttj_sel'] = '(gen_match_1==6 || gen_match_2==6)'
+    if options.method==0 and True in ['baseline_aisotau1' in x for x in options.set_alias]:
+      top_sels['ttj_sel'] = '(gen_match_1==6)'
+      top_sels['ttt_sel'] = '(gen_match_1!=6)'
+      vv_sels['vvj_sel'] = '(gen_match_1==6)'
+      vv_sels['vvt_sel'] = '(gen_match_1!=6)'
+      z_sels['zj_sel'] = '(gen_match_1==6)' 
+      z_sels['zl_sel'] = '(!(gen_match_1==6) && !(gen_match_1==5&&gen_match_2==5))'
+    if options.method==0 and True in ['baseline_aisotau2' in x for x in options.set_alias]:
+      top_sels['ttj_sel'] = '(gen_match_2==6)'
+      top_sels['ttt_sel'] = '(gen_match_2!=6)'
+      vv_sels['vvj_sel'] = '(gen_match_2==6)'
+      vv_sels['vvt_sel'] = '(gen_match_2!=6)'
+      z_sels['zj_sel'] = '(gen_match_2==6)' 
+      z_sels['zl_sel'] = '(!(gen_match_2==6) && !(gen_match_1==5&&gen_match_2==5))'
+       
+
+extra_top_sel = '1' 
+if options.embedding:
+    if options.channel == 'mt': extra_top_sel = '!((gen_match_1 == 4) && (gen_match_2 == 5))'
+    if options.channel == 'et': extra_top_sel = '!((gen_match_1 == 3) && (gen_match_2 == 5))'
+    if options.channel == 'tt': extra_top_sel = '!((gen_match_1 == 5) && (gen_match_2 == 5))'
+    if options.channel == 'em': extra_top_sel = '!((gen_match_1 == 3) && (gen_match_2 == 4))'
+    if options.channel =='zee': extra_top_sel = '!((gen_match_1 == 1) && (gen_match_2 == 1))'
+    top_sels["ttt_ztt_sel"] = top_sels["ttt_sel"]+'&&!'+extra_top_sel
+    vv_sels["vvt_ztt_sel"] = vv_sels["vvt_sel"]+'&&!'+extra_top_sel
+    for sel in top_sels: 
+      if "ztt_sel" not in sel: top_sels[sel]+='&&'+extra_top_sel
+    for sel in vv_sels: 
+      if "ztt_sel" not in sel: vv_sels[sel]+='&&'+extra_top_sel
+    top_sels_embed["ttt_ztt_sel"] = top_sels["ttt_ztt_sel"]
+    top_sels_embed["vvt_ztt_sel"] = vv_sels["vvt_ztt_sel"]
+    
+# ------------------------------------------------------------    
+# Add data sample names
+if options.channel == 'mt': 
+    data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD']
+if options.channel == 'em': 
+    data_samples = ['MuonEGB','MuonEGC','MuonEGD']
+if options.channel == 'et': 
+    data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD']
+if options.channel == 'tt': 
+    data_samples = ['TauB','TauC','TauD']
+    
+# Add MC sample names   
+ztt_samples = []
+vv_samples = []
+wgam_samples = []
+top_samples = []
+wjets_samples = []
+ewkz_samples = []
+gghww_samples = []
+qqhww_samples = []
+top_samples = []
+# ------------------------------------------------------------ 
+
+if options.era in ["mssmsummer16","smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','mvadm2016']:
+    # Add data sample names
+    if options.channel in ['mt','zmm','mj']:
+        data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF','SingleMuonG','SingleMuonHv2','SingleMuonHv3']
+        if options.era == "legacy16": 
+            data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF','SingleMuonG','SingleMuonH']
+            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauB','TauC','TauD','TauE','TauF','TauG','TauH']
+        if options.era in ['UL_16_preVFP']:
+            data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF']
+            #if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauB','TauC','TauD','TauE','TauF']
+        if options.era in ['UL_16_postVFP']:
+            data_samples = ['SingleMuonF','SingleMuonG','SingleMuonH']
+            #if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauF','TauG','TauH']
+            
+    if options.channel == 'em':
+        data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF','MuonEGG','MuonEGHv2','MuonEGHv3']
+        if options.era == "legacy16": data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF','MuonEGG','MuonEGH']
+        if options.era in ["UL_16_preVFP"]: data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF']
+        if  options.era in ["UL_16_postVFP"]: data_samples = ['MuonEGF','MuonEGG','MuonEGH']
+    
+    if options.channel == 'et' or options.channel == 'zee':
+        data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF','SingleElectronG','SingleElectronHv2','SingleElectronHv3']
+        if options.era == "legacy16": 
+            data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF','SingleElectronG','SingleElectronH']
+            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauB','TauC','TauD','TauE','TauF','TauG','TauH']
+        if options.era in ["UL_16_preVFP"]: 
+            data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
+            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauB','TauC','TauD','TauE','TauF']
+        if options.era in ["UL_16_postVFP"]: 
+            data_samples = ['SingleElectronF','SingleElectronG','SingleElectronH']
+            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauF','TauG','TauH']
+            
+    if options.channel == 'tt':
+        data_samples = ['TauB','TauC','TauD','TauE','TauF','TauG','TauHv2','TauHv3']
+        if options.era in ["legacy16"]: data_samples = ['TauB','TauC','TauD','TauE','TauF','TauG','TauH']
+        if options.era in ['UL_16_preVFP']: data_samples = ['TauB','TauC','TauD','TauE','TauF']
+        if options.era in ['UL_16_postVFP']: data_samples = ['TauF','TauG','TauH']
+
+    # MC Samples
+    if options.era in ["legacy16"]: 
+        ztt_samples = ['DYJetsToLL-LO-ext1','DYJetsToLL-LO-ext2','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO']
+        vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','WWTo1L1Nu2Q','WZJToLLLNu','VVTo2L2Nu','VVTo2L2Nu-ext1','ZZTo2L2Q','ZZTo4L-amcat','WZTo2L2Q','WZTo1L3Nu','WZTo1L1Nu2Q']
+        wgam_samples = ['WGToLNuG-ext1','WGToLNuG-ext2','WGToLNuG-ext3']
+        wjets_samples = ['WJetsToLNu-LO', 'WJetsToLNu-LO-ext','W1JetsToLNu-LO','W2JetsToLNu-LO','W2JetsToLNu-LO-ext','W3JetsToLNu-LO','W3JetsToLNu-LO-ext','W4JetsToLNu-LO','W4JetsToLNu-LO-ext1','W4JetsToLNu-LO-ext2']
+        if options.channel == 'mt': embed_samples = ['EmbeddingMuTauB','EmbeddingMuTauC','EmbeddingMuTauD','EmbeddingMuTauE','EmbeddingMuTauF','EmbeddingMuTauG','EmbeddingMuTauH']
+        if options.channel == 'et': embed_samples = ['EmbeddingElTauB','EmbeddingElTauC','EmbeddingElTauD','EmbeddingElTauE','EmbeddingElTauF','EmbeddingElTauG','EmbeddingElTauH']
+        if options.channel == 'em': embed_samples = ['EmbeddingElMuB','EmbeddingElMuC','EmbeddingElMuD','EmbeddingElMuE','EmbeddingElMuF','EmbeddingElMuG','EmbeddingElMuH']
+        if options.channel == 'tt': embed_samples = ['EmbeddingTauTauB','EmbeddingTauTauC','EmbeddingTauTauD','EmbeddingTauTauE','EmbeddingTauTauF','EmbeddingTauTauG','EmbeddingTauTauH']
+        if options.channel == 'zmm': embed_samples = ['EmbeddingMuMuB','EmbeddingMuMuC','EmbeddingMuMuD','EmbeddingMuMuE','EmbeddingMuMuF','EmbeddingMuMuG','EmbeddingMuMuH']
+        if options.channel == 'zee': embed_samples = ['EmbeddingElElB','EmbeddingElElC','EmbeddingElElD','EmbeddingElElE','EmbeddingElElF','EmbeddingElElG','EmbeddingElElH']
+
+    if not options.era in ["UL_16_preVFP", "UL_16_postVFP"]:
+	if options.analysis in ['mssmrun2','vlq']: 
+		top_samples = ['TT']
+	else:
+		top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+
+
+    if options.era in ["UL_16_preVFP"]:
+        if (options.DY_NLO==False):
+           ztt_samples = ['DYJetsToLL-LO','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
+        else:
+           ztt_samples = ['DYJetstoLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
+        vv_samples = ['WZTo1L1Nu2Q','WZTo3LNu','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','T-tW', 'Tbar-tW','Tbar-t','T-t']
+        wgam_samples = ['WGToLNuG']
+        wjets_samples = ['WJetsToLNu-LO' ,'W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
+        gghww_samples = []
+        qqhww_samples = []
+	ewkz_samples = ['EWKZ2Jets_ZToLL']
+	top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+
+    if options.era in ["UL_16_postVFP"]:
+        if (options.DY_NLO==False):
+           ztt_samples = ['DYJetsToLL-LO','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
+        else:
+           ztt_samples = ['DYJetstoLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
+        vv_samples = ['WZTo3LNu','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','T-tW', 'Tbar-tW','Tbar-t','T-t']
+        wgam_samples = ['WGToLNuG']
+        wjets_samples = ['WJetsToLNu-LO' ,'W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
+        gghww_samples = []
+        qqhww_samples = []
+	ewkz_samples = ['EWKZ2Jets_ZToLL']
+	top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+    
+# ------------------------------------------------------------------------
+# Seems Redundant but ok I will ask    
+    
+if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'tauid2016','mvadm2016']:
+    vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WWTo1L1Nu2Q','WZJToLLLNu','VVTo2L2Nu','VVTo2L2Nu-ext1','ZZTo2L2Q','ZZTo4L-amcat','WZTo2L2Q','WZTo1L3Nu','WZTo1L1Nu2Q']
+    wjets_samples = ['WJetsToLNu-LO', 'WJetsToLNu-LO-ext','W1JetsToLNu-LO','W2JetsToLNu-LO','W2JetsToLNu-LO-ext','W3JetsToLNu-LO','W3JetsToLNu-LO-ext','W4JetsToLNu-LO','W4JetsToLNu-LO-ext1','W4JetsToLNu-LO-ext2', 'EWKWMinus2Jets_WToLNu','EWKWMinus2Jets_WToLNu-ext1','EWKWMinus2Jets_WToLNu-ext2','EWKWPlus2Jets_WToLNu','EWKWPlus2Jets_WToLNu-ext1','EWKWPlus2Jets_WToLNu-ext2']
+    ewkz_samples = ['EWKZ2Jets_ZToLL','EWKZ2Jets_ZToLL-ext']
+    gghww_samples = ['GluGluHToWWTo2L2Nu_M-125']
+    qqhww_samples = ['VBFHToWWTo2L2Nu_M-125']
+           
+    if options.era == "legacy16":
+        vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WWTo1L1Nu2Q','WZJToLLLNu','VVTo2L2Nu','VVTo2L2Nu-ext1','ZZTo2L2Q','ZZTo4L-amcat','WZTo2L2Q','WZTo1L3Nu','WZTo1L1Nu2Q']
+        ewkz_samples = ['EWKZ2Jets_ZToLL','EWKZ2Jets_ZToLL-ext1','EWKZ2Jets_ZToLL-ext2']
+        wgam_samples = ['WGToLNuG-ext1','WGToLNuG-ext1','WGToLNuG-ext2','WGToLNuG-ext3','WGstarToLNuEE','WGstarToLNuMuMu']
+    
+# ------------------------------------------------------------------------
+# 2017
+ 
+if options.era in ['cpsummer17','tauid2017']:
+
+   # ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO','DYJetsToLL_M-10-50-LO-ext1']
+    if options.channel == "tt": # remove 'DYJetsToLL_M-10-50-LO (zero entries)
+        ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO-ext1']
+    else:     ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO-ext1','DYJetsToLL_M-10-50-LO']
+    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+    vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WWToLNuQQ','WZTo2L2Q','WZTo1L1Nu2Q','WZTo1L3Nu','WZTo3LNu', 'WWTo2L2Nu', 'ZZTo2L2Nu', 'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L']
+    if options.analysis in ['mssmrun2','vlq']:
+      vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WZTo2L2Q','WZTo3LNu', 'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L','VVTo2L2Nu']
+
+
+    wjets_samples = ['WJetsToLNu-LO','WJetsToLNu-LO-ext','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets','EWKWPlus2Jets']
+    #wjets_samples = ['WJetsToLNu-LO','WJetsToLNu-LO-ext','EWKWMinus2Jets','EWKWPlus2Jets']
+    wgam_samples = ['WGToLNuG']
+    ewkz_samples = ['EWKZ2Jets']
+    gghww_samples = ['GluGluHToWWTo2L2Nu_M-125']
+    qqhww_samples = ['VBFHToWWTo2L2Nu_M-125']   
+ 
+    if options.channel in ['mt','zmm','mj']: 
+        data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauB','TauC','TauD','TauE','TauF']
+
+
+    if options.channel == 'em': 
+        data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF']
+    if options.channel == 'et' or options.channel == 'zee': 
+        data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauB','TauC','TauD','TauE','TauF']
+    if options.channel == 'tt': 
+        data_samples = ['TauB','TauC','TauD','TauE','TauF']
+
+
+    if options.channel == 'mt': embed_samples = ['EmbeddingMuTauB','EmbeddingMuTauC','EmbeddingMuTauD','EmbeddingMuTauE','EmbeddingMuTauF']
+    if options.channel == 'et': embed_samples = ['EmbeddingElTauB','EmbeddingElTauC','EmbeddingElTauD','EmbeddingElTauE','EmbeddingElTauF']
+    if options.channel == 'em': embed_samples = ['EmbeddingElMuB','EmbeddingElMuC','EmbeddingElMuD','EmbeddingElMuE','EmbeddingElMuF']
+    if options.channel == 'tt': embed_samples = ['EmbeddingTauTauB','EmbeddingTauTauC','EmbeddingTauTauD','EmbeddingTauTauE','EmbeddingTauTauF']
+    if options.channel == 'zmm': embed_samples = ['EmbeddingMuMuB','EmbeddingMuMuC','EmbeddingMuMuD','EmbeddingMuMuE','EmbeddingMuMuF']
+    if options.channel == 'zee': embed_samples = ['EmbeddingElElB','EmbeddingElElC','EmbeddingElElD','EmbeddingElElE','EmbeddingElElF']
+
+
+if options.era in ['UL_17']:
+    if (options.DY_NLO==False):
+        ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
+    else:
+        ztt_samples = ['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
+
+    # Question: Is this need for UL_17?
+    #if options.channel == "tt": # remove 'DYJetsToLL_M-10-50-LO (zero entries)
+        #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO-ext1']
+    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+    vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L']
+    #vv_samples = ['T-tW', 'Tbar-tW','T-t','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L']
+    # if options.analysis in ['mssmrun2','vlq']:
+      # vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WZTo2L2Q','WZTo3LNu', 'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L','VVTo2L2Nu']
+    
+    wjets_samples = ['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
+    wgam_samples = ['WGToLNuG']
+    ewkz_samples = ['EWKZ2Jets_ZToLL']
+    gghww_samples = ['']
+    qqhww_samples = ['']   
+ 
+    if options.channel in ['mt','zmm','mj']: 
+        data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF']
+        #if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt' and options.singletau: data_samples += ['TauB','TauC','TauD','TauE','TauF']
+
+    if options.channel == 'em': 
+        data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF']
+    if options.channel == 'et' or options.channel == 'zee': 
+        data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et' and options.singletau: data_samples += ['TauB','TauC','TauD','TauE','TauF']
+    if options.channel == 'tt': 
+        data_samples = ['TauB','TauC','TauD','TauE','TauF']
+
+# ------------------------------------------------------------------------
+# 2018
+
+if options.era in ['cp18']:
+    ztt_samples = ['DYJetsToLL-LO','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO']
+    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+    vv_samples = [
+            'T-tW-ext1', 'Tbar-tW-ext1','Tbar-t','WWTo2L2Nu','T-t',
+            'WWToLNuQQ','WZTo1L3Nu','WZTo3LNu','WZTo3LNu-ext1','WZTo2L2Q',
+            'ZZTo2L2Nu-ext1','ZZTo2L2Nu-ext2','ZZTo2L2Q','ZZTo4L-ext','ZZTo4L'
+            ]
+    if options.analysis in ['mssmrun2','vlq']:
+      vv_samples = [
+              'T-tW-ext1', 'Tbar-tW-ext1','Tbar-t','T-t',
+              'WZTo3LNu','WZTo3LNu-ext1','WZTo2L2Q',
+              'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L', 'VVTo2L2Nu',
+              ]
+
+    wjets_samples = ['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets','EWKWPlus2Jets']
+    wgam_samples = ['WGToLNuG']
+    ewkz_samples = ['EWKZ2Jets']
+    gghww_samples = []
+    qqhww_samples = []
+    gghww_samples = ['GluGluHToWWTo2L2Nu_M-125']
+    qqhww_samples = ['VBFHToWWTo2L2Nu_M-125']   
+ 
+    if options.channel in ['mt','zmm','mj']:
+        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
+        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt' and options.singletau == True : data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'em':
+        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
+    if options.channel == 'et' or options.channel == 'zee':
+        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et' and options.singletau == True: data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'tt':
+        data_samples = ['TauA','TauB','TauC','TauD']
+
+    if options.channel == 'mt':  embed_samples = ['EmbeddingMuTauA','EmbeddingMuTauB','EmbeddingMuTauC','EmbeddingMuTauD']
+    if options.channel == 'et':  embed_samples = ['EmbeddingElTauA','EmbeddingElTauB','EmbeddingElTauC','EmbeddingElTauD']
+    if options.channel == 'em':  embed_samples = ['EmbeddingElMuA','EmbeddingElMuB','EmbeddingElMuC','EmbeddingElMuD']
+    if options.channel == 'tt':  embed_samples = ['EmbeddingTauTauA','EmbeddingTauTauB','EmbeddingTauTauC','EmbeddingTauTauD']
+    if options.channel == 'zmm': embed_samples = ['EmbeddingMuMuA','EmbeddingMuMuB','EmbeddingMuMuC','EmbeddingMuMuD']
+    if options.channel == 'zee': embed_samples = ['EmbeddingElElA','EmbeddingElElB','EmbeddingElElC','EmbeddingElElD']
+
+
+if options.era in ['UL_18']:
+    if (options.DY_NLO==False):
+        ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
+        #ztt_samples = ['DYJetsToLL-LO']
+    else:
+        ztt_samples = ['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
+
+    #ztt_samples = ['DYJetsToLL-NLO']
+    #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL_M-10to50-LO']
+    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+    vv_samples = ['WZTo1L1Nu2Q','WZTo3LNu','WWTo1L1Nu2Q','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','Tbar-t','Tbar-tW','T-t','T-tW']
+    # if options.analysis in ['mssmrun2','vlq']:
+        # vv_samples = [
+              # 'T-tW', 'Tbar-tW','Tbar-t','T-t',
+              # 'WZTo3LNu','ZZTo4L']
+    wjets_samples = ['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
+    wgam_samples = ['WGToLNuG']
+    ewkz_samples = ['EWKZ2Jets_ZToLL']
+    gghww_samples = ['']
+    qqhww_samples = ['']   
+ 
+    if options.channel in ['mt','zmm','mj']:
+        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
+        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'em':
+        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
+    if options.channel == 'et' or options.channel == 'zee':
+        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'tt':
+        data_samples = ['TauA','TauB','TauC','TauD']
+
+if options.era in ['22']:
+    if (options.DY_NLO==False):
+        ztt_samples = ['DYJetsToLL-LO_postEE_postEE','DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
+        #ztt_samples = ['DYJetsToLL-LO']
+    else:
+        ztt_samples = ['DYJetsToLL-LO_postEE_postEE','DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
+
+    #ztt_samples = ['DYJetsToLL-NLO']
+    #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL_M-10to50-LO']
+    top_samples = ['TTTo2L2Nu_postEE','TTTo2L2Nu_preEE']#['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
+    vv_samples = ['WW_postEE_postEE','WZ_postEE_postEE','ZZ_postEE_postEE','WW_preEE','WZ_preEE','ZZ_preEE','ZZZ_preEE']#['WZTo1L1Nu2Q','WZTo3LNu','WWTo1L1Nu2Q','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','Tbar-t','Tbar-tW','T-t','T-tW']
+    # if options.analysis in ['mssmrun2','vlq']:
+        # vv_samples = [
+              # 'T-tW', 'Tbar-tW','Tbar-t','T-t',
+              # 'WZTo3LNu','ZZTo4L']
+    wjets_samples = []#['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
+    wgam_samples = []#['WGToLNuG']
+    ewkz_samples = []#['EWKZ2Jets_ZToLL']
+    gghww_samples = ['']
+    qqhww_samples = ['']   
+ 
+    if options.channel in ['mt','zmm','mj']:
+        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
+        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'em':
+        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
+    if options.channel == 'et' or options.channel == 'zee':
+        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'tt':
+        data_samples = ['TauA_preEE','TauB_rereco_preEE',
+                        'TauC_rereco_preEE','TauD_rereco_preEE','TauE_rereco_postEE','TauF_postEE','TauG_postEE']        
+
+
+if options.method==0: ztt_samples+=ewkz_samples
+
+sm_samples = { 'ggH' : 'GluGluHToTauTau_M-*', 'qqH' : 'VBFHToTauTau_M-*', 'WplusH' : 'WplusHToTauTau_M-*', 'WminusH' : 'WminusHToTauTau_M-*', 'ZH' : 'ZHToTauTau_M-*', 'TTH' : 'TTHToTauTau_M-*' }
+if options.era in ["smsummer16"]: sm_samples = { 'ggH_htt*' : 'GluGluToHToTauTau_M-*', 'qqH_htt*' : 'VBFHToTauTau_M-*', 'WplusH_htt*' : 'WplusHToTauTau_M-*', 'WminusH_htt*' : 'WminusHToTauTau_M-*', 'ZH_htt*' : 'ZHToTauTau_M-*'}
+
+
+if options.analysis in ['cpprod']: 
+# 2016
+  if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
+    sm_samples = { 
+
+
+         'ggh*_powheg' : 'GluGluToHToTauTau_M-125', 
+   #      'vbf*_powheg' : 'VBFHToTauTau_M-125',
+    #     'wplush*_powheg': 'WplusHToTauTau_M-125',
+     #    'wminush*_powheg': 'WminusHToTauTau_M-125',
+      #   'zh*_powheg': 'ZHToTauTau_M-125',
+#         'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+ #        'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+  #       'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'qqH_htt*' : 'VBFHToTauTau_M-125',
+         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+         'ZH_htt*': 'ZHToTauTau_M-125',
+       #  "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+
+
+         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0_HToTauTau',
+         'qqH_ps_htt*' : 'VBFHiggs0M_HToTauTau',
+         'qqH_sm_htt*' : 'VBFHiggs0PM_HToTauTau',
+         'WH_mm_htt*' : 'WHiggs0MfWH05ph0',
+         'WH_ps_htt*' : 'WHiggs0M',
+         'WH_sm_htt*' : 'WHiggs0PM',
+         'ZH_mm_htt*' : 'ZHiggs0MfZH05ph0',
+         'ZH_ps_htt*' : 'ZHiggs0M',
+         'ZH_sm_htt*' : 'ZHiggs0PM',
+    }
+
+
+# 2017
+
+
+  if (options.era == 'cpsummer17' or options.era == 'UL_17'):
+    sm_samples = {
+         'ggh*_powheg' : ['GluGluHToTauTau_M-125','GluGluHToTauTau_M-125-ext'],
+     #    'vbf*_powheg' : 'VBFHToTauTau_M-125',
+      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
+      #   'wminush*_powheg': 'WminusHToTauTau_M-125',
+       #  'zh*_powheg': 'ZHToTauTau_M-125',
+         #'ZHps_htt*' : 'ZHiggs0MToTauTau',
+         #'ZHsm_htt*' : 'ZHiggs0PMToTauTau',
+         #'ZHmm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
+         #'qqHsm_htt*' : 'VBFHiggs0PMToTauTau',
+         #'qqHps_htt*' :'VBFHiggs0MToTauTau',
+         #'qqHmm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
+         #'WHps_htt*' :'WHiggs0MToTauTau',
+         #'WHmm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
+         #'WHsm_htt*' : 'WHiggs0PMToTauTau',
+        # 'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+        # 'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+        # 'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'qqH_htt*' : 'VBFHToTauTau_M-125',
+         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+         'ZH_htt*': 'ZHToTauTau_M-125',
+     #    "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
+         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
+         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
+         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
+         'WH_ps_htt*' : 'WHiggs0MToTauTau',
+         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
+         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
+         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
+         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
+    }
+
+
+# 2018
+
+
+  if (options.era == 'cp18' or options.era == 'UL_18'):
+    sm_samples = {
+         #'vbf_new' : 'VBFHToTauTau_M125_withDipoleRecoil',
+         'ggh*_powheg' : 'GluGluHToTauTau_M-125',
+     #    'vbf*_powheg' : 'VBFHToTauTau_M-125-ext1',
+      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
+       #  'wminush*_powheg': 'WminusHToTauTau_M-125',
+        # 'zh*_powheg': 'ZHToTauTau_M-125',
+         #'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'qqH_htt*' : 'VBFHToTauTau_M-125-ext1',
+         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+         'ZH_htt*': ['ZHToTauTau_M-125','ZHToTauTau_M125-ext1'],
+        # "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
+         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
+         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
+         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
+         'WH_ps_htt*' : 'WHiggs0MToTauTau',
+         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
+         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
+         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
+         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
+    }
+
+  if options.era == '22':
+    sm_samples = {
+         #'vbf_new' : 'VBFHToTauTau_M125_withDipoleRecoil',
+         'ggh*_powheg' : 'GluGluHToTauTau_M-125',
+     #    'vbf*_powheg' : 'VBFHToTauTau_M-125-ext1',
+      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
+       #  'wminush*_powheg': 'WminusHToTauTau_M-125',
+        # 'zh*_powheg': 'ZHToTauTau_M-125',
+         #'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'qqH_htt*' : 'VBFHToTauTau_M-125-ext1',
+         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+         'ZH_htt*': ['ZHToTauTau_M-125','ZHToTauTau_M125-ext1'],
+        # "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
+         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
+         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
+         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
+         'WH_ps_htt*' : 'WHiggs0MToTauTau',
+         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
+         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
+         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
+         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
+    }
+
+
+
+
+if options.analysis in ['cpdecay']:
+
+
+  if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
+    sm_samples = {
+       #'ggH_ph_htt*' : 'GluGluToHToTauTau_M-125',
+       #'qqH_ph_htt*' : 'VBFHToTauTau_M-125',
+       "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+       "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+       "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+       "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+       "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+       "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+       "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+       "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+       "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+       "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+       "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+       "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+       #"WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'], 
+       #"ZH_ph_htt*": 'ZHToTauTau_M-125', 
+       #"ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+       #"qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+    }
+
+
+# for 2017
+  if (options.era == 'cpsummer17' or options.era == 'UL_17'):
+    sm_samples = {
+        'ggH_ph_htt*' : ['GluGluHToTauTau_M-125','GluGluHToTauTau_M-125-ext'],
+        'qqH_ph_htt*' : 'VBFHToTauTau_M-125',
+        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered", 
+        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+        "ZH_ph_htt*": 'ZHToTauTau_M-125',
+        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered", 
+    }
+
+
+  if (options.era == 'cp18' or options.era == 'UL_18'):
+    sm_samples = {
+        # test CP in decay samples
+        'ggH_ph_htt*' : 'GluGluHToTauTau_M-125',
+        'qqH_ph_htt*' : 'VBFHToTauTau_M-125-ext1',
+        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+        "ZH_ph_htt*": 'ZHToTauTau_M-125',  
+        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+    }
+  if options.era == '22':
+    sm_samples = {
+        # test CP in decay samples
+        'ggH_ph_htt*' : 'GluGluHToTauTau_M-125',
+        'qqH_ph_htt*' : 'VBFHToTauTau_M-125-ext1',
+        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+        "ZH_ph_htt*": 'ZHToTauTau_M-125',  
+        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+    }
+
+
+if options.analysis in ['mssmrun2','vlq']:
+  if options.era == '22':
+    sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
+                   'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+                 }
+  if (options.era == 'cp18' or options.era == 'UL_18'):
+    sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
+                   'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+#                   'qqH95' : 'VBFHToTauTau_M-95',
+                   #'qqH125' : 'VBFHToTauTau_M-125-ext1',
+                   #'ZH125' : 'ZHToTauTau_M-125',
+                   #'WplusH125' : 'WplusHToTauTau_M-125',
+                   #'WminusH125' : 'WminusHToTauTau_M-125',
+                   #'ttH125' : 'ttHToTauTau',
+                   #'ggHWW125' : 'GluGluHToWWTo2L2Nu_M-125',
+                   #'qqHWW125' : 'VBFHToWWTo2L2Nu_M-125',
+                   #'WminusHWW125' : 'HWminusJ_HToWW',
+                   #'WplusHWW125' : 'HWplusJ_HToWW',
+                 }
+  elif (options.era == 'cpsummer17' or options.era == 'UL_17'):
+    sm_samples = { 'ggH125_SM' : ['GluGluHToTauTau_M-125','GluGluHToTauTau_M-125-ext'],
+                   'qqH125' : ['VBFHToTauTau_M-125','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+                   #'qqH95' : 'VBFHToTauTau_M-95',
+                   #'qqH125' : 'VBFHToTauTau_M-125',
+                   #'ZH125' : 'ZHToTauTau_M-125',
+                   #'WplusH125' : 'WplusHToTauTau_M-125',
+                   #'WminusH125' : 'WminusHToTauTau_M-125',
+                   #'ttH125' : 'ttHToTauTau',
+                   #'ggHWW125' : 'GluGluHToWWTo2L2Nu_M-125',
+                   #'qqHWW125' : 'VBFHToWWTo2L2Nu_M-125',
+                   #'WminusHWW125' : 'HWminusJ_HToWW',
+                   #'WplusHWW125' : 'HWplusJ_HToWW',
+                 }
+  elif options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
+    sm_samples = { 'ggH125_SM' : 'GluGluToHToTauTau_M-125',
+                   'qqH125': ['VBFHToTauTau_M-125','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+                   #'qqH95' : 'VBFHToTauTau_M-95',
+                   #'qqH125' : 'VBFHToTauTau_M-125',
+                   #'ZH125' : 'ZHToTauTau_M-125',
+                   #'WplusH125' : 'WplusHToTauTau_M-125',
+                   #'WminusH125' : 'WminusHToTauTau_M-125',
+                   #'ttH125' : 'ttHJetToTT',
+                   #'ggHWW125' : 'GluGluHToWWTo2L2Nu_M-125',
+                   #'qqHWW125' : 'VBFHToWWTo2L2Nu_M-125',
+                   #'WminusHWW125' : 'HWminusJ_HToWW',
+                   #'WplusHWW125' : 'HWplusJ_HToWW',
+                 }
+
+
+if options.analysis == "vlq":
+  vlq_samples = {
+    "vlq_betaRd33_0_mU2_gU1":"VectorLQToTauTau_betaRd33_0_mU2_gU1",
+    "vlq_betaRd33_0_mU2_gU2":"VectorLQToTauTau_betaRd33_0_mU2_gU2",
+    "vlq_betaRd33_0_mU2_gU3":"VectorLQToTauTau_betaRd33_0_mU2_gU3",
+    "vlq_betaRd33_0_mU3_gU1":"VectorLQToTauTau_betaRd33_0_mU3_gU1",
+    "vlq_betaRd33_0_mU3_gU2":"VectorLQToTauTau_betaRd33_0_mU3_gU2",
+    "vlq_betaRd33_0_mU3_gU3":"VectorLQToTauTau_betaRd33_0_mU3_gU3",
+    "vlq_betaRd33_0_mU4_gU1":"VectorLQToTauTau_betaRd33_0_mU4_gU1",
+    "vlq_betaRd33_0_mU4_gU2":"VectorLQToTauTau_betaRd33_0_mU4_gU2",
+    "vlq_betaRd33_0_mU4_gU3":"VectorLQToTauTau_betaRd33_0_mU4_gU3",
+    "vlq_betaRd33_minus1_mU2_gU1":"VectorLQToTauTau_betaRd33_minus1_mU2_gU1",
+    "vlq_betaRd33_minus1_mU2_gU2":"VectorLQToTauTau_betaRd33_minus1_mU2_gU2",
+    "vlq_betaRd33_minus1_mU2_gU3":"VectorLQToTauTau_betaRd33_minus1_mU2_gU3",
+    "vlq_betaRd33_minus1_mU3_gU1":"VectorLQToTauTau_betaRd33_minus1_mU3_gU1",
+    "vlq_betaRd33_minus1_mU3_gU2":"VectorLQToTauTau_betaRd33_minus1_mU3_gU2",
+    "vlq_betaRd33_minus1_mU3_gU3":"VectorLQToTauTau_betaRd33_minus1_mU3_gU3",
+    "vlq_betaRd33_minus1_mU4_gU1":"VectorLQToTauTau_betaRd33_minus1_mU4_gU1",
+    "vlq_betaRd33_minus1_mU4_gU2":"VectorLQToTauTau_betaRd33_minus1_mU4_gU2",
+    "vlq_betaRd33_minus1_mU4_gU3":"VectorLQToTauTau_betaRd33_minus1_mU4_gU3",
+    "VLQ_betaRd33_0_M_2000":["VectorLQToTauTau_betaRd33_0_mU2_gU1","VectorLQToTauTau_betaRd33_0_mU2_gU2","VectorLQToTauTau_betaRd33_0_mU2_gU3"],
+    "VLQ_betaRd33_0_M_3000":["VectorLQToTauTau_betaRd33_0_mU3_gU1","VectorLQToTauTau_betaRd33_0_mU3_gU2","VectorLQToTauTau_betaRd33_0_mU3_gU3"],
+    "VLQ_betaRd33_0_M_4000":["VectorLQToTauTau_betaRd33_0_mU4_gU1","VectorLQToTauTau_betaRd33_0_mU4_gU2","VectorLQToTauTau_betaRd33_0_mU4_gU3"],
+    "VLQ_betaRd33_minus1_M_2000":["VectorLQToTauTau_betaRd33_minus1_mU2_gU1","VectorLQToTauTau_betaRd33_minus1_mU2_gU2","VectorLQToTauTau_betaRd33_minus1_mU2_gU3"],
+    "VLQ_betaRd33_minus1_M_3000":["VectorLQToTauTau_betaRd33_minus1_mU3_gU1","VectorLQToTauTau_betaRd33_minus1_mU3_gU2","VectorLQToTauTau_betaRd33_minus1_mU3_gU3"],
+    "VLQ_betaRd33_minus1_M_4000":["VectorLQToTauTau_betaRd33_minus1_mU4_gU1","VectorLQToTauTau_betaRd33_minus1_mU4_gU2","VectorLQToTauTau_betaRd33_minus1_mU4_gU3"],
+  }
+
+
+
+
+if options.ggh_masses_powheg == "":
+  mssm_samples = { 'ggH' : 'SUSYGluGluToHToTauTau_M-*', 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*' }
+else:
+  mssm_samples = { 'ggH' : 'SUSYGluGluToHToTauTau_M-*_powheg', 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*_powheg' }
+
+
+if options.bbh_masses_powheg == "":
+  mssm_nlo_samples = { 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*-NLO' }
+  mssm_lo_samples = { 'bbH-LO' : 'SUSYGluGluToBBHToTauTau_M-*' }
+  mssm_nlo_qsh_samples = { 'bbH-QshUp' : 'SUSYGluGluToBBHToTauTau_M-*-NLO-QshUp', 'bbH-QshDown' : 'SUSYGluGluToBBHToTauTau_M-*-NLO-QshDown' }
+else:
+  mssm_lo_samples = { 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*_powheg' }
+
+
+
+
+if options.nlo_qsh and mssm_nlo_samples: mssm_nlo_samples.update(mssm_nlo_qsh_samples)
+Hhh_samples = { 'ggH' : 'GluGluToRadionToHHTo2B2Tau_M-*' }
+
+
+# set systematics: first index sets folder name contaning systematic samples, second index sets string to be appended to output histograms, third index specifies the weight to be applied , 4th lists samples that should be skipped
+systematics = OrderedDict()
+if not options.no_default: systematics['default'] = ('','', 'wt', [], False)
+
+
+if options.syst_e_res != '':
+    systematics['res_e_up'] = ('ERES_UP' , '_'+options.syst_e_res+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+    systematics['res_e_down'] = ('ERES_DOWN' , '_'+options.syst_e_res+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+if options.syst_mu_res != '':
+    systematics['res_mu_up'] = ('MURES_UP' , '_'+options.syst_mu_res+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+    systematics['res_mu_down'] = ('MURES_DOWN' , '_'+options.syst_mu_res+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+if options.syst_tau_res != '':
+    systematics['res_tau_up'] = ('TRES_UP' , '_'+options.syst_tau_res+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+    systematics['res_tau_down'] = ('TRES_DOWN' , '_'+options.syst_tau_res+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+if options.syst_e_scale != '':
+    systematics['scale_e_up'] = ('ESCALE_UP' , '_'+options.syst_e_scale+'Up', 'wt', ['QCD','jetFakes'], False)
+    systematics['scale_e_down'] = ('ESCALE_DOWN' , '_'+options.syst_e_scale+'Down', 'wt', ['QCD','jetFakes'], False)
+if options.syst_mu_scale != '':
+    systematics['scale_mu_up'] = ('MUSCALE_UP' , '_'+options.syst_mu_scale+'Up', 'wt',['QCD','jetFakes'], False)
+    systematics['scale_mu_down'] = ('MUSCALE_DOWN' , '_'+options.syst_mu_scale+'Down', 'wt', ['QCD','jetFakes'], False)
+
+
+if options.syst_tau_scale != '':
+    systematics['scale_t_up'] = ('TSCALE_UP' , '_'+options.syst_tau_scale+'Up', 'wt', ['jetFakes'], False)
+    systematics['scale_t_down'] = ('TSCALE_DOWN' , '_'+options.syst_tau_scale+'Down', 'wt', ['jetFakes'], False)
+if options.syst_tau_scale_0pi != '':
+    systematics['scale_t_0pi_up'] = ('TSCALE0PI_UP' , '_'+options.syst_tau_scale_0pi+'Up', 'wt', ['QCD','jetFakes'], False)
+    systematics['scale_t_0pi_down'] = ('TSCALE0PI_DOWN' , '_'+options.syst_tau_scale_0pi+'Down', 'wt', ['QCD','jetFakes'], False)
+if options.syst_tau_scale_1pi != '':
+    systematics['scale_t_1pi_up'] = ('TSCALE1PI_UP' , '_'+options.syst_tau_scale_1pi+'Up', 'wt', ['QCD','jetFakes'], False)
+    systematics['scale_t_1pi_down'] = ('TSCALE1PI_DOWN' , '_'+options.syst_tau_scale_1pi+'Down', 'wt', ['QCD','jetFakes'], False)
+if options.syst_tau_scale_3prong != '':
+    systematics['scale_t_3prong_up'] = ('TSCALE3PRONG_UP' , '_'+options.syst_tau_scale_3prong+'Up', 'wt', ['QCD','jetFakes'], False)
+    systematics['scale_t_3prong_down'] = ('TSCALE3PRONG_DOWN' , '_'+options.syst_tau_scale_3prong+'Down', 'wt', ['QCD','jetFakes'], False)
+if options.syst_tau_scale_3prong1pi0 != '':
+    systematics['scale_t_3prong1pi0_up'] = ('TSCALE3PRONG1PI0_UP' , '_'+options.syst_tau_scale_3prong1pi0+'Up', 'wt', ['QCD','jetFakes'], False)
+    systematics['scale_t_3prong1pi0_down'] = ('TSCALE3PRONG1PI0_DOWN' , '_'+options.syst_tau_scale_3prong1pi0+'Down', 'wt', ['QCD','jetFakes'], False)
+### group TES
+if options.syst_tau_scale_grouped != "":
+    hist_name = options.syst_tau_scale_grouped
+    syst_dict = {
+        '0pi': ['1prong','TSCALE0PI'],
+        '1pi': ['1prong1pizero','TSCALE1PI'],
+        '3prong': ['3prong','TSCALE3PRONG'],
+        '3prong1pi0': ['3prong1pizero','TSCALE3PRONG1PI0'],
+    }
+    for name, values in syst_dict.iteritems():
+        syst_name = hist_name.replace("*group", values[0])
+        systematics["scale_t_{}_up".format(name)] = (
+            "{}_UP".format(values[1]), "_{}Up".format(syst_name), 
+            "wt", ["QCD","jetFakes"], False
+        )
+        systematics["scale_t_{}_down".format(name)] = (
+            "{}_DOWN".format(values[1]), "_{}Down".format(syst_name), 
+            "wt", ["QCD","jetFakes"], False
+        )
+##
+if options.syst_efake_0pi_scale != '':
+    systematics['scale_efake_0pi_up'] = ('EFAKE0PI_UP' , '_'+options.syst_efake_0pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+    systematics['scale_efake_0pi_down'] = ('EFAKE0PI_DOWN' , '_'+options.syst_efake_0pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+if options.syst_efake_1pi_scale != '':
+    systematics['scale_efake_1pi_up'] = ('EFAKE1PI_UP' , '_'+options.syst_efake_1pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+    systematics['scale_efake_1pi_down'] = ('EFAKE1PI_DOWN' , '_'+options.syst_efake_1pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+if options.syst_mufake_0pi_scale != '':
+    systematics['scale_mufake_0pi_up'] = ('MUFAKE0PI_UP' , '_'+options.syst_mufake_0pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+    systematics['scale_mufake_0pi_down'] = ('MUFAKE0PI_DOWN' , '_'+options.syst_mufake_0pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+if options.syst_mufake_1pi_scale != '':
+    systematics['scale_mufake_1pi_up'] = ('MUFAKE1PI_UP' , '_'+options.syst_mufake_1pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','EmbedZTT'], False)
+    systematics['scale_mufake_1pi_down'] = ('MUFAKE1PI_DOWN' , '_'+options.syst_mufake_1pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+if options.syst_eff_t != '':
+    systematics['syst_eff_t_up'] = ('' , '_'+options.syst_eff_t+'Up', 'wt*wt_tau_id_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
+    systematics['syst_eff_t_down'] = ('' , '_'+options.syst_eff_t+'Down', 'wt*wt_tau_id_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
+if options.syst_tquark != '':
+    systematics['syst_tquark_up'] = ('' , '_'+options.syst_tquark+'Up', 'wt*wt_tquark_up', ['ZTT','ZL','ZJ','VVT','VVJ','QCD','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+    systematics['syst_tquark_down'] = ('' , '_'+options.syst_tquark+'Down', 'wt*wt_tquark_down', ['ZTT','ZL','ZJ','VVJ','VVT','QCD','W', 'signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)  
+#    syst_alt_name='CMS_htt_ttbarShape_TheoryVsData'
+#    if 'ttbarShape' in options.syst_tquark:
+#      syst_alt_name = options.syst_tquark.replace('ttbarShape','ttbarShape_TheoryVsData') 
+#    systematics['syst_tquark_alt_up'] = ('' , '_'+syst_alt_name+'Up', 'wt*wt_tquark_alt', ['ZTT','ZL','ZJ','VVT','VVJ','QCD','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+#    systematics['syst_tquark_alt_down'] = ('' , '_'+syst_alt_name+'Down', 'wt*(2.-wt_tquark_alt)', ['ZTT','ZL','ZJ','VVJ','VVT','QCD','W', 'signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False) 
+if options.syst_zwt != '':
+    systematics['syst_zwt_up'] = ('' , '_'+options.syst_zwt+'Up', 'wt*wt_zpt_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_zwt_down'] = ('' , '_'+options.syst_zwt+'Down', 'wt*wt_zpt_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+if options.syst_w_fake_rate != '':
+    to_skip = ['ZTT','ZL','ZJ','VVT','VVJ','TTT','TTJ','QCD','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT']
+    if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','mvadm2016']: to_skip = ['ZTT','ZL','VVT','TTT','QCD','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT']
+    systematics['syst_w_fake_rate_up'] = ('' , '_'+options.syst_w_fake_rate+'Up', 'wt*wt_tau_fake_up', to_skip, False)
+    systematics['syst_w_fake_rate_down'] = ('' , '_'+options.syst_w_fake_rate+'Down', 'wt*wt_tau_fake_down', to_skip, False)
+if options.syst_jfake_m != '':
+    systematics['syst_jfake_m_up'] = ('' , '_'+options.syst_jfake_m+'Up', 'wt*idisoweight_up_2', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
+    systematics['syst_jfake_m_down'] = ('' , '_'+options.syst_jfake_m+'Down', 'wt*idisoweight_down_2', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
+if options.syst_jfake_e != '':
+    systematics['syst_jfake_e_up'] = ('' , '_'+options.syst_jfake_e+'Up', 'wt*idisoweight_up_1', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
+    systematics['syst_jfake_e_down'] = ('' , '_'+options.syst_jfake_e+'Down', 'wt*idisoweight_down_1', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
+if options.syst_scale_j != '':
+    systematics['syst_scale_j_up'] = ('JES_UP' , '_'+options.syst_scale_j+'Up', 'wt', ['EmbedZTT','jetFakes'], False)
+    systematics['syst_scale_j_down'] = ('JES_DOWN' , '_'+options.syst_scale_j+'Down', 'wt', ['EmbedZTT','jetFakes'], False)
+if options.syst_res_j != '':
+    systematics['syst_res_j_up'] = ('JER_UP' , '_'+options.syst_res_j+'Up', 'wt', ['EmbedZTT','jetFakes'], False)
+    systematics['syst_res_j_down'] = ('JER_DOWN' , '_'+options.syst_res_j+'Down', 'wt', ['EmbedZTT','jetFakes'], False)
+if options.syst_scale_j_corr != '':
+    systematics['syst_scale_j_corr_up'] = ('JES_CORR_UP' , '_'+options.syst_scale_j_corr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_corr_down'] = ('JES_CORR_DOWN' , '_'+options.syst_scale_j_corr+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_uncorr != '':
+    systematics['syst_scale_j_uncorr_up'] = ('JES_UNCORR_UP' , '_'+options.syst_scale_j_uncorr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_uncorr_down'] = ('JES_UNCORR_DOWN' , '_'+options.syst_scale_j_uncorr+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_rbal != '':
+    systematics['syst_scale_j_rbal_up'] = ('JESRBAL_UP' , '_'+options.syst_scale_j_rbal+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_rbal_down'] = ('JESRBAL_DOWN' , '_'+options.syst_scale_j_rbal+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_rsamp != '':
+    systematics['syst_scale_j_rsamp_up'] = ('JESRSAMP_UP' , '_'+options.syst_scale_j_rsamp+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_rsamp_down'] = ('JESRSAMP_DOWN' , '_'+options.syst_scale_j_rsamp+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_full != '':
+    systematics['syst_scale_j_full_up'] = ('JESFULL_UP' , '_'+options.syst_scale_j_full+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_full_down'] = ('JESFULL_DOWN' , '_'+options.syst_scale_j_full+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_cent != '':
+    systematics['syst_scale_j_cent_up'] = ('JESCENT_UP' , '_'+options.syst_scale_j_cent+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_cent_down'] = ('JESCENT_DOWN' , '_'+options.syst_scale_j_cent+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_hf != '':
+    systematics['syst_scale_j_hf_up'] = ('JESHF_UP' , '_'+options.syst_scale_j_hf+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_hf_down'] = ('JESHF_DOWN' , '_'+options.syst_scale_j_hf+'Down', 'wt', ['EmbedZTT'], False)    
+if options.syst_scale_j_full_corr != '':
+    systematics['syst_scale_j_full_corr_up'] = ('JESFULL_CORR_UP' , '_'+options.syst_scale_j_full_corr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_full_corr_down'] = ('JESFULL_CORR_DOWN' , '_'+options.syst_scale_j_full_corr+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_cent_corr != '':
+    systematics['syst_scale_j_cent_corr_up'] = ('JESCENT_CORR_UP' , '_'+options.syst_scale_j_cent_corr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_cent_corr_down'] = ('JESCENT_CORR_DOWN' , '_'+options.syst_scale_j_cent_corr+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_hf_corr != '':
+    systematics['syst_scale_j_hf_corr_up'] = ('JESHF_CORR_UP' , '_'+options.syst_scale_j_hf_corr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_hf_corr_down'] = ('JESHF_CORR_DOWN' , '_'+options.syst_scale_j_hf_corr+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_full_uncorr != '':
+    systematics['syst_scale_j_full_uncorr_up'] = ('JESFULL_UNCORR_UP' , '_'+options.syst_scale_j_full_uncorr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_full_uncorr_down'] = ('JESFULL_UNCORR_DOWN' , '_'+options.syst_scale_j_full_uncorr+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_cent_uncorr != '':
+    systematics['syst_scale_j_cent_uncorr_up'] = ('JESCENT_UNCORR_UP' , '_'+options.syst_scale_j_cent_uncorr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_cent_uncorr_down'] = ('JESCENT_UNCORR_DOWN' , '_'+options.syst_scale_j_cent_uncorr+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_scale_j_hf_uncorr != '':
+    systematics['syst_scale_j_hf_uncorr_up'] = ('JESHF_UNCORR_UP' , '_'+options.syst_scale_j_hf_uncorr+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_scale_j_hf_uncorr_down'] = ('JESHF_UNCORR_DOWN' , '_'+options.syst_scale_j_hf_uncorr+'Down', 'wt', ['EmbedZTT'], False)
+############ Regrouped JEC for full run2
+if options.syst_scale_j_regrouped != "":
+    hist_name = options.syst_scale_j_regrouped
+    # need dict of syst names and folders of where the shifted trees are found
+    names = ["Absolute", "Absolute_year", "BBEC1", "BBEC1_year", 
+            "EC2", "EC2_year", "FlavorQCD", "HF", "HF_year", 
+            "RelativeBal", "RelativeSample_year"]
+    folders = ["JESABS", "JESABS_YEAR", "JESBBEC1", "JESBBEC1_YEAR", 
+            "JESEC2", "JESEC2_YEAR", "JESFLAV", "JESHF", "JESHF_YEAR", 
+            "JESRBAL", "JESRELSAMP_YEAR"]
+    syst_dict = dict(zip(names, folders))
+
+
+    replaceYear = ""
+    if options.era in ["legacy16",'UL_16_preVFP','UL_16_postVFP']: replaceYear = "2016"
+    elif (options.era == "cpsummer17" or options.era == 'UL_17'): replaceYear = "2017"
+    elif (options.era == "cp18" or options.era == 'UL_18'): replaceYear = "2018"
+    elif options.era == "22": replaceYear = "2022"    
+    else: assert ValueError("Regrouped JES only works for full RunII analyses")
+
+
+    if "*group" in hist_name:
+        for name, folder in syst_dict.iteritems():
+            if "year" in name: name=name.replace("year", replaceYear)
+            syst_name = hist_name.replace("*group", name)
+            systematics['syst_scale_j_{}_up'.format(syst_name)] = (
+                "{}_UP".format(folder), "_{}Up".format(syst_name), 
+                "wt", ["EmbedZTT",'jetFakes','QCD'], False)
+            systematics['syst_scale_j_{}_down'.format(syst_name)] = (
+                "{}_DOWN".format(folder), "_{}Down".format(syst_name), 
+                "wt", ["EmbedZTT",'jetFakes','QCD'], False)
+
+
+if options.syst_eff_b_weights != '':
+    systematics['syst_b_weights_up'] = ('' , '_'+options.syst_eff_b_weights+'Up', 'wt*wt_btag_up/wt_btag', ['EmbedZTT','ZTT','ZL','ZLL','ZJ','EWKZ','signal','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
+    systematics['syst_b_weights_down'] = ('' , '_'+options.syst_eff_b_weights+'Down', 'wt*wt_btag_down/wt_btag', ['EmbedZTT','ZTT','ZL','ZLL','ZJ','EWKZ','signal','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
+if options.syst_eff_b != '':
+    systematics['syst_b_up'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BTAG_UP'.format(options.year), '_'+options.syst_eff_b+'Up', 'wt', ['EmbedZTT','ZJ','EWKZ','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
+    systematics['syst_b_down'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BTAG_DOWN'.format(options.year) , '_'+options.syst_eff_b+'Down', 'wt', ['EmbedZTT','ZJ','EWKZ','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
+if options.syst_fake_b != '':
+    systematics['syst_fake_b_up'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BFAKE_UP'.format(options.year), '_'+options.syst_fake_b+'Up', 'wt', ['EmbedZTT'], False)
+    systematics['syst_fake_b_down'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BFAKE_DOWN'.format(options.year) , '_'+options.syst_fake_b+'Down', 'wt', ['EmbedZTT'], False)
+if options.syst_zpt_es != '':
+    systematics['syst_zpt_es_up'] = ('' , '_'+options.syst_zpt_es+'Up', 'wt*wt_zpt_esup', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_zpt_es_down'] = ('' , '_'+options.syst_zpt_es+'Down', 'wt*wt_zpt_esdown', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+if options.syst_zpt_tt != '':
+    systematics['syst_zpt_tt_up'] = ('' , '_'+options.syst_zpt_tt+'Up', 'wt*wt_zpt_ttup', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_zpt_tt_down'] = ('' , '_'+options.syst_zpt_tt+'Down', 'wt*wt_zpt_ttdown', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+if options.syst_zpt_statpt0 != '':
+    systematics['syst_zpt_statpt0_up'] = ('' , '_'+options.syst_zpt_statpt0+'Up', 'wt*wt_zpt_stat_m400pt0_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_zpt_statpt0_down'] = ('' , '_'+options.syst_zpt_statpt0+'Down', 'wt*wt_zpt_stat_m400pt0_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+if options.syst_zpt_statpt40 != '':
+    systematics['syst_zpt_statpt40_up'] = ('' , '_'+options.syst_zpt_statpt40+'Up', 'wt*wt_zpt_stat_m400pt40_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_zpt_statpt40_down'] = ('' , '_'+options.syst_zpt_statpt40+'Down', 'wt*wt_zpt_stat_m400pt40_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+if options.syst_zpt_statpt80 != '':
+    systematics['syst_zpt_statpt80_up'] = ('' , '_'+options.syst_zpt_statpt80+'Up', 'wt*wt_zpt_stat_m400pt80_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_zpt_statpt80_down'] = ('' , '_'+options.syst_zpt_statpt80+'Down', 'wt*wt_zpt_stat_m400pt80_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+if options.syst_z_mjj != '' and options.cat in ['vbf','dijet','dijet_lowboost','dijet_boosted',
+        # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
+        # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
+        ]:
+    systematics['syst_z_mjj_up'] = ('' , '_'+options.syst_z_mjj+'Up', 'wt*wt_z_mjj_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','ggH_hww125','qqH_hww125', 'ggH_hww', 'qqH_hww','EmbedZTT'], False)
+    systematics['syst_z_mjj_down'] = ('' , '_'+options.syst_z_mjj+'Down', 'wt*wt_z_mjj_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','ggH_hww125','qqH_hww125', 'ggH_hww', 'qqH_hww','EmbedZTT'], False)
+if options.syst_qcd_scale != '' and options.cat in ['0jet','boosted','vbf','dijet','dijet_lowboost','dijet_boosted',
+            ] and options.channel in ['em','et','mt','tt'] and options.era == 'smsummer16': 
+    if "Mjj" not in options.cat:
+        weight_up = 'wt*wt_scale_%s_%s' % (options.channel, options.cat)
+        weight_down = 'wt*(2-wt_scale_%s_%s)' % (options.channel, options.cat)
+    elif "low" in options.cat:
+        weight_up = 'wt*wt_scale_%s_boosted' % (options.channel)
+        weight_down = 'wt*(2-wt_scale_%s_boosted)' % (options.channel)
+    if options.cat in ['dijet','dijet_lowboost','dijet_boosted',
+            ]:
+      weight_up = 'wt*wt_scale_%s_vbf' % (options.channel)
+      weight_down = 'wt*(2-wt_scale_%s_vbf)' % (options.channel)
+
+
+    systematics['syst_qcd_scale_up'] = ('' , '_'+options.syst_qcd_scale+'Up', weight_up, ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+    systematics['syst_qcd_scale_down'] = ('' , '_'+options.syst_qcd_scale+'Down', weight_down, ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+if options.syst_qcd_scale != '' and options.era != 'smsummer16':
+    systematics['syst_qcd_scale_up'] = ('' , '_'+options.syst_qcd_scale+'Up', 'wt*wt_qcdscale_up', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
+    systematics['syst_qcd_scale_down'] = ('' , '_'+options.syst_qcd_scale+'Down', 'wt*wt_qcdscale_down', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
+if options.syst_quarkmass != '':
+    systematics['syst_quarkmass_up'] = ('' , '_'+options.syst_quarkmass+'Up', 'wt*wt_quarkmass', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
+    systematics['syst_quarkmass_down'] = ('' , '_'+options.syst_quarkmass+'Down', 'wt*((1./wt_quarkmass-1.)*0.05 + 1.)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
+if options.syst_ps != '':
+    if '*PS' in options.syst_ps:
+      hist_name_fsr = options.syst_ps.replace('*PS','PS_FSR')
+      hist_name_isr = options.syst_ps.replace('*PS','PS_ISR')
+      systematics['syst_ps_fsr_up'] = ('' , '_'+hist_name_fsr+'Up', 'wt*min(wt_ps_fsr_up,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+      systematics['syst_ps_fsr_down'] = ('' , '_'+hist_name_fsr+'Down', 'wt*min(wt_ps_fsr_down,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+      systematics['syst_ps_isr_up'] = ('' , '_'+hist_name_isr+'Up', 'wt*min(wt_ps_isr_up,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+      systematics['syst_ps_isr_down'] = ('' , '_'+hist_name_isr+'Down', 'wt*min(wt_ps_isr_down,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+    else: 
+      systematics['syst_ps_up'] = ('' , '_'+options.syst_ps+'Up', 'wt*wt_ps_up', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+      systematics['syst_ps_down'] = ('' , '_'+options.syst_ps+'Down', 'wt*wt_ps_down', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+if options.syst_ue != '':
+    systematics['syst_ue_up'] = ('' , '_'+options.syst_ue+'Up', 'wt*wt_ue_up', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+    systematics['syst_ue_down'] = ('' , '_'+options.syst_ue+'Down', 'wt*wt_ue_down', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
+if options.syst_tau_id_dm0 != '':
+    systematics['syst_tau_id_dm0_up'] = ('' , '_'+options.syst_tau_id_dm0+'Up', 'wt*wt_tau_id_dm0_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
+    systematics['syst_tau_id_dm0_down'] = ('' , '_'+options.syst_tau_id_dm0+'Down', 'wt*wt_tau_id_dm0_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
+if options.syst_tau_id_dm1 != '':
+    systematics['syst_tau_id_dm1_up'] = ('' , '_'+options.syst_tau_id_dm1+'Up', 'wt*wt_tau_id_dm1_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
+    systematics['syst_tau_id_dm1_down'] = ('' , '_'+options.syst_tau_id_dm1+'Down', 'wt*wt_tau_id_dm1_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)    
+if options.syst_tau_id_dm10 != '':
+    systematics['syst_tau_id_dm10_up'] = ('' , '_'+options.syst_tau_id_dm10+'Up', 'wt*wt_tau_id_dm10_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
+    systematics['syst_tau_id_dm10_down'] = ('' , '_'+options.syst_tau_id_dm10+'Down', 'wt*wt_tau_id_dm10_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)   
+if options.syst_lfake_dm0 != '':
+    systematics['syst_lfake_dm0_up'] = ('' , '_'+options.syst_lfake_dm0+'Up', 'wt*wt_lfake_dm0_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_lfake_dm0_down'] = ('' , '_'+options.syst_lfake_dm0+'Down', 'wt*wt_lfake_dm0_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)    
+if options.syst_lfake_dm1 != '':
+    systematics['syst_lfake_dm1_up'] = ('' , '_'+options.syst_lfake_dm1+'Up', 'wt*wt_lfake_dm1_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+    systematics['syst_lfake_dm1_down'] = ('' , '_'+options.syst_lfake_dm1+'Down', 'wt*wt_lfake_dm1_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
+if options.syst_qcd_shape_wsf != '':
+    systematics['syst_qcd_shape_wsf_up'] = ('' , '_'+options.syst_qcd_shape_wsf.replace('cat',options.cat)+'Up', 'wt', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','jetFakes','signal','W','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+    systematics['syst_qcd_shape_wsf_down'] = ('' , '_'+options.syst_qcd_shape_wsf.replace('cat',options.cat)+'Down', 'wt', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','jetFakes','signal','W','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+    if options.cat in ["0jet","boosted",
+            # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
+            ]:
+        w_abs_shift=0.1
+    if options.cat in ["vbf",'dijet','dijet_lowboost','dijet_boosted',
+            # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
+            ]:
+        w_abs_shift=0.3
+if options.syst_scale_met_unclustered != '':
+    #systematics['syst_scale_met_unclustered_up'] = ('METUNCL_UP' , '_'+options.syst_scale_met_unclustered+'Up', 'wt', ['EWKZ','ZLL','ZL','ZJ','ZTT','W','signal','QCD','jetFakes','EmbedZTT','ggH_hww','qqH_hww'], False)
+    #systematics['syst_scale_met_unclustered_down'] = ('METUNCL_DOWN' , '_'+options.syst_scale_met_unclustered+'Down', 'wt', ['EWKZ','ZLL','ZL','ZJ','ZTT','W','signal','QCD','jetFakes','EmbedZTT','ggH_hww','qqH_hww'], False)
+    systematics['syst_scale_met_unclustered_up'] = ('METUNCL_UP' , '_'+options.syst_scale_met_unclustered+'Up', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
+    systematics['syst_scale_met_unclustered_down'] = ('METUNCL_DOWN' , '_'+options.syst_scale_met_unclustered+'Down', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
+if options.syst_scale_met_clustered != '':
+    systematics['syst_scale_met_clustered_up'] = ('METCL_UP' , '_'+options.syst_scale_met_clustered+'Up', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
+    systematics['syst_scale_met_clustered_down'] = ('METCL_DOWN' , '_'+options.syst_scale_met_clustered+'Down', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
+if options.syst_res_met != '':
+    hist_name = options.syst_res_met
+    if '$NJET' in hist_name: 
+      hist_name_0jet = hist_name.replace('$NJET','0Jet')
+      hist_name_1jet = hist_name.replace('$NJET','1Jet')
+      hist_name_2jet = hist_name.replace('$NJET','2Jet')
+      
+      systematics['syst_res_met_0jet_up'] = ('MET_RES_NJETS0_UP' , '_'+hist_name_0jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      systematics['syst_res_met_0jet_down'] = ('MET_RES_NJETS0_DOWN' , '_'+hist_name_0jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      
+      systematics['syst_res_met_1jet_up'] = ('MET_RES_NJETS1_UP' , '_'+hist_name_1jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      systematics['syst_res_met_1jet_down'] = ('MET_RES_NJETS1_DOWN' , '_'+hist_name_1jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      
+      systematics['syst_res_met_2jet_up'] = ('MET_RES_NJETS2_UP' , '_'+hist_name_2jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      systematics['syst_res_met_2jet_down'] = ('MET_RES_NJETS2_DOWN' , '_'+hist_name_2jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+    elif options.analysis == "vlq":
+      systematics['syst_res_met_up'] = ('MET_RES_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
+      systematics['syst_res_met_down'] = ('MET_RES_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
+    else:
+      systematics['syst_res_met_up'] = ('MET_RES_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False)
+      systematics['syst_res_met_down'] = ('MET_RES_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False) 
+if options.syst_scale_met != '':
+    hist_name = options.syst_scale_met
+    if '$NJET' in hist_name: 
+      hist_name_0jet = hist_name.replace('$NJET','0Jet')
+      hist_name_1jet = hist_name.replace('$NJET','1Jet')
+      hist_name_2jet = hist_name.replace('$NJET','2Jet')
+      systematics['syst_scale_met_0jet_up'] = ('MET_SCALE_NJETS0_UP' , '_'+hist_name_0jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      systematics['syst_scale_met_0jet_down'] = ('MET_SCALE_NJETS0_DOWN' , '_'+hist_name_0jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      
+      systematics['syst_scale_met_1jet_up'] = ('MET_SCALE_NJETS1_UP' , '_'+hist_name_1jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      systematics['syst_scale_met_1jet_down'] = ('MET_SCALE_NJETS1_DOWN' , '_'+hist_name_1jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      
+      systematics['syst_scale_met_2jet_up'] = ('MET_SCALE_NJETS2_UP' , '_'+hist_name_2jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+      systematics['syst_scale_met_2jet_down'] = ('MET_SCALE_NJETS2_DOWN' , '_'+hist_name_2jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
+    elif options.analysis == "vlq":
+      systematics['syst_scale_met_up'] = ('MET_SCALE_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
+      systematics['syst_scale_met_down'] = ('MET_SCALE_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
+    else:  
+      systematics['syst_scale_met_up'] = ('MET_SCALE_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False)
+      systematics['syst_scale_met_down'] = ('MET_SCALE_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False)  
+    if options.embedding and options.analysis in ['mssmrun2','vlq']: 
+      embed_hist_name='scale_embed_met_%s' % options.year 
+      systematics['syst_scale_embed_met_up'] = ('MET_SCALE_UP' , '_'+embed_hist_name+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+      systematics['syst_scale_embed_met_down'] = ('MET_SCALE_DOWN' , '_'+embed_hist_name+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False) 
+if options.syst_scale_j_by_source != '':
+    jes_sources={"AbsoluteFlavMap":1,"AbsoluteMPFBias":2,"AbsoluteScale":3,"AbsoluteStat":4,"FlavorQCD":5,"Fragmentation":6,"PileUpDataMC":7,"PileUpPtBB":8,"PileUpPtEC1":9,"PileUpPtEC2":10,"PileUpPtHF":11,"PileUpPtRef":12,"RelativeBal":13,"RelativeFSR":14,"RelativeJEREC1":15,"RelativeJEREC2":16,"RelativeJERHF":17,"RelativePtBB":18,"RelativePtEC1":19,"RelativePtEC2":20,"RelativePtHF":21,"RelativeStatEC":22,"RelativeStatFSR":23,"RelativeStatHF":24,"SinglePionECAL":25,"SinglePionHCAL":26,"TimePtEta":27}
+    jes_to_process=[]
+    for i in options.jes_sources.split(','):
+      if ':' in i: jes_to_process+=range(int(i.split(':')[0]),int(i.split(':')[1])+1)
+      else: jes_to_process.append(int(i)) 
+    jes_to_process = list(set(jes_to_process))  
+    for source in jes_sources:
+      jes_num = jes_sources[source]  
+      if jes_num not in jes_to_process: continue  
+      replace_dict = {'n_jets':'n_jets_%i'%jes_num, 'n_bjets':'n_bjets_%i'%jes_num, 'mjj':'mjj_%i'%jes_num, 'jdeta':'jdeta_%i'%jes_num, 'jdphi':'jdphi_%i'%jes_num, 'jpt_1':'jpt_1_%i'%jes_num, 'jpt_2':'jpt_2_%i'%jes_num}
+      syst_name = 'syst_scale_j_by_source_'+source
+      hist_name = options.syst_scale_j_by_source.replace('SOURCE', source)
+      systematics[syst_name+'_up'] = ('JES_UP' , '_'+hist_name+'Up', 'wt', ['jetFakes','EmbedZTT'], False,replace_dict)
+      systematics[syst_name+'_down'] = ('JES_DOWN' , '_'+hist_name+'Down', 'wt', ['jetFakes','EmbedZTT'], False,replace_dict)
+
+if options.syst_jfake_scale != '':
+  # this is an approximate version of this uncertainty for now
+  replace_dict_up = {'pt_2':'pt_2*1.03', 'm_vis':'m_vis*sqrt(1.03)'}
+  replace_dict_down = {'pt_2':'pt_2*0.97', 'm_vis':'m_vis*sqrt(0.97)'}
+  syst_name = 'syst_jfake_scale'
+  hist_name = options.syst_jfake_scale
+  to_skip = ['VVT','VVJ','TTT','TTJ','QCD','signal','jetFakes','EmbedZTT','ZJ','ZL','ZLL','ZTT']
+  systematics[syst_name+'_approx_up'] = ('' , '_'+hist_name+'ApproxUp', 'wt', to_skip, False,replace_dict_up)
+  systematics[syst_name+'_approx_down'] = ('' , '_'+hist_name+'ApproxDown', 'wt', to_skip, False,replace_dict_down)
+  systematics[syst_name+'_up'] = ('JFAKE_UP' , '_'+hist_name+'Up', 'wt', to_skip, False)
+  systematics[syst_name+'_down'] = ('JFAKE_DOWN' , '_'+hist_name+'Down', 'wt', to_skip, False)
+
+## em QCD uncertainties
+if options.syst_em_qcd != '' and options.channel == 'em':
+    hist_name = options.syst_em_qcd
+    if '*BIN' in hist_name:
+      hist_name_bini = hist_name.replace('*BIN', 'IsoExtrap')
+      systematics['syst_em_qcd_extrap_up'] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_em_qcd_extrapup', ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+      systematics['syst_em_qcd_extrap_down'] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_em_qcd_extrapdown', ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+      for j in range(0,3):
+        for i in range(1,3):
+          hist_name_bini = hist_name.replace('*BIN', 'stat_njets%(j)i_unc%(i)i' % vars())
+          systematics['syst_em_qcd_njets%(j)i_unc%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_em_qcd_njets%(j)s_unc%(i)i_up' % vars(), ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
+          systematics['syst_em_qcd_njets%(j)i_unc%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_em_qcd_njets%(j)i_unc%(i)i_down' % vars(), ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)  
+
+
+if options.syst_prefire != '':
+    systematics['syst_prefire_up'] = ('' , '_'+options.syst_prefire+'Up', 'wt*wt_prefire_up/wt_prefire', ['QCD','jetFakes','EmbedZTT'], False)
+    systematics['syst_prefire_down'] = ('' , '_'+options.syst_prefire+'Down', 'wt*wt_prefire_down/wt_prefire', ['QCD','jetFakes','EmbedZTT'], False)
+
+
+if options.syst_tau_id_diff != '':
+
+
+    hist_name = options.syst_tau_id_diff
+
+
+    if options.analysis in ['mssmrun2','vlq']:
+      if '*' in hist_name:
+        # add the usual pT binned uncerts for et and mt with pT<100 
+        if options.channel in ['et','mt']:
+
+
+          pt_bins = ["20-25", "25-30", "30-35", "35-40", "40-500", "500-1000", "1000-inf"]
+
+
+          for i in range(3,6):
+            bin_name = pt_bins[i-1]
+            hist_name_bini = hist_name.replace('*','%(bin_name)s' % vars())
+            systematics['syst_tau_id_diff_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*(wt_tau_id_pt_bin%(i)i_up*(pt_2<100) + (pt_2>=100))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+            systematics['syst_tau_id_diff_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*(wt_tau_id_pt_bin%(i)i_down*(pt_2<100) + (pt_2>=100))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+
+
+        if options.channel == 'tt':
+          # add the usual dm binned uncerts for tt with pt<100
+          for i in [0,1,10,11]:
+            hist_name_bini = hist_name.replace('*','dm%(i)i' % vars())
+            systematics['syst_tau_id_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+            systematics['syst_tau_id_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
+
+
+        # add the dedicated high pT uncerts which are common for both channels
+   
+        pt_bins = {5: "highpT_100-500",  6: "highpT_500-inf"}
+
+
+        # weights stored incorrectly, doing by hand instead
+        #for i in range(5,7):
+          #bin_name = pt_bins[i]
+          #hist_name_bini = hist_name.replace('*','%(bin_name)s' % vars())
+          #systematics['syst_tau_id_diff_highpt_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_mssm_bin%(i)i_up' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+          #systematics['syst_tau_id_diff_highpt_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_mssm_bin%(i)i_down' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+        if options.year == "2022":
+          nom_40_plus = "1.00458784525"
+          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
+          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.952971628935", "1.00458784525", "-0.0516162163153", "-0.103232432631"       
+        if options.year == "2018":
+          nom_40_plus = "1.00458784525"
+          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
+          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.952971628935", "1.00458784525", "-0.0516162163153", "-0.103232432631"
+        elif options.year == "2017":
+          nom_40_plus = "0.86966080714"
+          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "0.903623575349", "0.86966080714", "0.0339627682083", "0.0679255364167"
+          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.835685230027", "0.86966080714", "-0.0339755771129", "-0.0679511542259"
+        elif options.year == "2016":
+          nom_40_plus = "0.949771847264"
+          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "0.982473629072", "0.949771847264", "0.0327017818078", "0.0654035636156"
+          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.908265091132", "0.949771847264", "-0.0415067561324", "-0.0830135122647"
+
+
+        bin5_up_formula = "(((gen_match_X==5&&pt_X>100&&pt_X<=500)*(%(up_40_500)s/%(nom_40_plus)s)) + ((gen_match_X==5&&pt_X>100&&pt_X<=500)==0))" % vars()
+        bin5_down_formula = "(((gen_match_X==5&&pt_X>100&&pt_X<=500)*(%(down_40_500)s/%(nom_40_plus)s)) + ((gen_match_X==5&&pt_X>100&&pt_X<=500)==0))" % vars()
+        bin6_up_formula = "((((gen_match_X==5&&pt_X>500&&pt_X<=1000)*((%(up_500_1000_const)s + %(up_500_1000_scale)s*(pt_X/500.))/%(nom_40_plus)s))+((gen_match_X==5&&pt_X>1000)*((%(up_500_1000_const)s + %(up_1000_plus)s)/%(nom_40_plus)s)))+((gen_match_X==5&&pt_X>500)==0))" % vars()
+        bin6_down_formula = "((((gen_match_X==5&&pt_X>500&&pt_X<=1000)*((%(down_500_1000_const)s + %(down_500_1000_scale)s*(pt_X/500.))/%(nom_40_plus)s))+((gen_match_X==5&&pt_X>1000)*((%(down_500_1000_const)s + %(down_1000_plus)s)/%(nom_40_plus)s)))+((gen_match_X==5&&pt_X>500)==0))" % vars()
+
+
+
+
+        if options.channel in ["mt","et"]:
+          systematics['syst_tau_id_diff_highpt_bin5_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Up', 'wt*{}'.format(bin5_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+          systematics['syst_tau_id_diff_highpt_bin5_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Down', 'wt*{}'.format(bin5_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+          systematics['syst_tau_id_diff_highpt_bin6_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Up', 'wt*{}'.format(bin6_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+          systematics['syst_tau_id_diff_highpt_bin6_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Down', 'wt*{}'.format(bin6_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+        elif options.channel == "tt":
+          systematics['syst_tau_id_diff_highpt_bin5_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Up', 'wt*{}*{}'.format(bin5_up_formula.replace("X","1"),bin5_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+          systematics['syst_tau_id_diff_highpt_bin5_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Down', 'wt*{}*{}'.format(bin5_down_formula.replace("X","1"),bin5_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+          systematics['syst_tau_id_diff_highpt_bin6_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Up', 'wt*{}*{}'.format(bin6_up_formula.replace("X","1"),bin6_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+          systematics['syst_tau_id_diff_highpt_bin6_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Down', 'wt*{}*{}'.format(bin6_down_formula.replace("X","1"),bin6_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+
+
+        
+
+
+
+
+        hist_name_pi0 = hist_name.replace('_eff_t','').replace('*','1ProngPi0Eff' % vars())
+        hist_name_pi = hist_name.replace('_eff_t','').replace('*','3ProngEff' % vars())
+        if options.channel in ['et','mt']:
+          systematics['syst_tau_id_diff_emb_trk_pi_up' % vars()] = ('' , '_'+hist_name_pi+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*1.008+(tau_decay_mode_2>9)*1.024))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
+          systematics['syst_tau_id_diff_emb_trk_pi_down' % vars()] = ('' , '_'+hist_name_pi+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*0.992+(tau_decay_mode_2>9)*0.976))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
+          systematics['syst_tau_id_diff_emb_trk_pi0_up' % vars()] = ('' , '_'+hist_name_pi0+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*1.014))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False) 
+          systematics['syst_tau_id_diff_emb_trk_pi0_down' % vars()] = ('' , '_'+hist_name_pi0+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*0.986))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False) 
+        if options.channel in ['tt']:
+          systematics['syst_tau_id_diff_emb_trk_pi_up' % vars()] = ('' , '_'+hist_name_pi+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*1.008+(tau_decay_mode_2>9)*1.024))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1<3)*1.008+(tau_decay_mode_1>9)*1.024))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
+          systematics['syst_tau_id_diff_emb_trk_pi_down' % vars()] = ('' , '_'+hist_name_pi+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*0.992+(tau_decay_mode_2>9)*0.976))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1<3)*0.992+(tau_decay_mode_1>9)*0.976))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
+          systematics['syst_tau_id_diff_emb_trk_pi0_up' % vars()] = ('' , '_'+hist_name_pi0+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*1.014))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1==0 || tau_decay_mode_1==10) + ((tau_decay_mode_1==0 || tau_decay_mode_1==10)==0)*1.014))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
+          systematics['syst_tau_id_diff_emb_trk_pi0_down' % vars()] = ('' , '_'+hist_name_pi0+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*0.986))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1==0 || tau_decay_mode_1==10) + ((tau_decay_mode_1==0 || tau_decay_mode_1==10)==0)*0.986))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False) 
+
+
+ 
+    elif '*PT' in hist_name:
+      for i in range(1,6):
+        hist_name_bini = hist_name.replace('*PT','bin%(i)i' % vars())
+        systematics['syst_tau_id_diff_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_pt_bin%(i)i_up' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+        systematics['syst_tau_id_diff_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_pt_bin%(i)i_down' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
+    elif '*DM' in hist_name:
+      for i in [0,1,10,11]:
+        hist_name_bini = hist_name.replace('*DM','DM%(i)i' % vars())
+        systematics['syst_tau_id_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+        systematics['syst_tau_id_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False) 
+    elif '*MVADM' in hist_name:
+      for i in [0,1,2,10,11]:
+        if options.channel != 'tt':
+          hist_name_bini = hist_name.replace('*MVADM','pTlow_MVADM%(i)i' % vars())
+          systematics['syst_tau_id_diff_lowpt_mvadm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_lowpt_mvadm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+          systematics['syst_tau_id_diff_lowpt_mvadm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_lowpt_mvadm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
+
+
+        hist_name_bini = hist_name.replace('*MVADM','pThigh_MVADM%(i)i' % vars())
+        systematics['syst_tau_id_diff_highpt_mvadm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_highpt_mvadm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+        systematics['syst_tau_id_diff_highpt_mvadm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_highpt_mvadm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
+
+
+if options.syst_lep_trg_diff != '':
+  hist_name = options.syst_lep_trg_diff
+  chan = options.channel
+  if options.analysis in ['mssmrun2','vlq']:
+    hist_name_bini_slt = hist_name.replace('*','trigger_%(chan)s' % vars())
+    hist_name_bini_ct = hist_name.replace('*','xtrigger_l_%(chan)s' % vars())
+    if chan in ["et"]:
+      systematics['syst_lep_trg_diff_singlelep_up' % vars()] = ('' , '_'+hist_name_bini_slt+'Up', 'wt*((1.02*(trg_singleelectron==1)) + (trg_singleelectron==0))' % vars(), ['QCD','jetFakes'], False)
+      systematics['syst_lep_trg_diff_singlelep_down' % vars()] = ('' , '_'+hist_name_bini_slt+'Down', 'wt*((1.02*(trg_singleelectron==1)) + (trg_singleelectron==0))'% vars(), ['QCD','jetFakes'], False)
+      systematics['syst_lep_trg_diff_crosstrg_up' % vars()] = ('' , '_'+hist_name_bini_ct+'Up', 'wt*((1.02*(trg_etaucross==1)) + (trg_etaucross==0))' % vars(), ['QCD','jetFakes'], False)
+      systematics['syst_lep_trg_diff_crosstrg_down' % vars()] = ('' , '_'+hist_name_bini_ct+'Down', 'wt*((1.02*(trg_etaucross==1)) + (trg_etaucross==0))'% vars(), ['QCD','jetFakes'], False)
+    elif chan in ["mt"]:
+      systematics['syst_lep_trg_diff_singlelep_up' % vars()] = ('' , '_'+hist_name_bini_slt+'Up', 'wt*((1.02*(trg_singlemuon==1)) + (trg_singlemuon==0))' % vars(), ['QCD','jetFakes'], False)
+      systematics['syst_lep_trg_diff_singlelep_down' % vars()] = ('' , '_'+hist_name_bini_slt+'Down', 'wt*((1.02*(trg_singlemuon==1)) + (trg_singlemuon==0))'% vars(), ['QCD','jetFakes'], False)
+      systematics['syst_lep_trg_diff_crosstrg_up' % vars()] = ('' , '_'+hist_name_bini_ct+'Up', 'wt*((1.02*(trg_mutaucross==1)) + (trg_mutaucross==0))' % vars(), ['QCD','jetFakes'], False)
+      systematics['syst_lep_trg_diff_crosstrg_down' % vars()] = ('' , '_'+hist_name_bini_ct+'Down', 'wt*((1.02*(trg_mutaucross==1)) + (trg_mutaucross==0))'% vars(), ['QCD','jetFakes'], False)
+
+
+
+
+if options.syst_tau_trg_diff != '':
+    hist_name = options.syst_tau_trg_diff
+    chan = options.channel
+
+
+    if options.analysis in ['mssmrun2','vlq']:
+      if '*'in hist_name:
+
+
+        # single tau uncerts
+        hist_name_bini = hist_name.replace('*','trigger_single_t' % vars())
+        systematics['syst_tau_trg_diff_singletau_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_singletau_up' % vars(), ['QCD','jetFakes'], False)
+        systematics['syst_tau_trg_diff_singletau_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_singletau_down'% vars(), ['QCD','jetFakes'], False)
+
+
+        if chan in ['mt','et']:
+
+
+          # single lepton uncerts
+          hist_name_bini = hist_name.replace('*','trigger_%(chan)s' % vars())
+          systematics['syst_tau_trg_diff_singlelep_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_singlelep_up' % vars(), ['QCD','jetFakes'], False)
+          systematics['syst_tau_trg_diff_singlelep_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_singlelep_down'% vars(), ['QCD','jetFakes'], False)
+
+
+          # cross lepton uncerts
+          hist_name_bini = hist_name.replace('*','xtrigger_l_%(chan)s' % vars())
+          systematics['syst_tau_trg_diff_crosslep_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_crosslep_up' % vars(), ['QCD','jetFakes'], False)
+          systematics['syst_tau_trg_diff_crosslep_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_crosslep_down'% vars(), ['QCD','jetFakes'], False)
+
+
+        # double-tau / cross-tau uncerts
+        for i in [0,1,10,11]:
+
+
+          hist_name_bini = hist_name.replace('*','xtrigger_t_%(chan)s_dm%(i)i' % vars())
+
+
+          systematics['syst_tau_trg_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+          systematics['syst_tau_trg_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
+
+
+          if chan == 'tt':
+            # for tt channels we decouple low and high pT so add additional uncertainty for high pT here
+            hist_name_bini = hist_name.replace('*','xtrigger_t_%(chan)s_dm%(i)i_highpT' % vars())
+            systematics['syst_tau_trg_diff_dm%(i)i_highpt_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_highpt_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+            systematics['syst_tau_trg_diff_dm%(i)i_highpt_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_highpt_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
+
+
+
+
+
+
+    elif '*DM' in hist_name:
+      for i in [0,1,10,11]:
+        hist_name_bini = hist_name.replace('*DM','DM%(i)i' % vars())
+        if options.channel != 'tt':
+          systematics['syst_tau_trg_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*((wt_tau_trg_dm%(i)i_up==1) + (wt_tau_trg_dm%(i)i_up!=1)*(max(1.05,wt_tau_trg_dm%(i)i_up)))' % vars(), ['QCD','jetFakes'], False)
+          systematics['syst_tau_trg_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*((wt_tau_trg_dm%(i)i_down==1) + (wt_tau_trg_dm%(i)i_down!=1)*(min(0.95,wt_tau_trg_dm%(i)i_down)))' % vars(), ['QCD','jetFakes'], False)
+        else: 
+          systematics['syst_tau_trg_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+          systematics['syst_tau_trg_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
+    elif '*MVADM' in hist_name:
+
+
+      for i in [0,1,2,10,11]:
+        hist_name_bini = hist_name.replace('*MVADM','MVADM%(i)i' % vars())
+        systematics['syst_tau_trg_diff_mvadm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mvadm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
+        systematics['syst_tau_trg_diff_mvadm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mvadm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
+
+
+if options.syst_embed_pt != '':
+    hist_name = options.syst_embed_pt
+    systematics['syst_embed_pt_up' % vars()] = ('' , '_'+hist_name+'Up', 'wt*wt_zpt_embed_ic' % vars(), ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+    systematics['syst_embed_pt_down' % vars()] = ('' , '_'+hist_name+'Down', 'wt*(2-wt_zpt_embed_ic)'% vars(), ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
+
+
+if options.method in [17,18] and options.do_ff_systs and options.channel in ['et','mt','tt'] and options.era == 'mssmsummer16':
+    processes = ['tt','w','qcd']
+    dms = ['dm0', 'dm1']
+    njets = ['njet0','njet1']
+    for process in processes:
+      template_name = 'ff_'+process+'_syst'
+      if process is 'qcd' or options.channel == 'tt': template_name = 'ff_'+process+'_'+options.channel+'_syst'
+      weight_name = 'wt_ff_'+options.cat+'_'+process+'_syst_'
+      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+      if options.channel == 'tt' and process in ['w','tt']: continue
+      for dm in dms: 
+        for njet in njets:
+          template_name = 'ff_'+process+'_'+dm+'_'+njet
+          if process != 'tt': template_name+='_'+options.channel
+          template_name+='_stat'
+          weight_name = 'wt_ff_'+options.cat+'_'+process+'_'+dm+'_'+njet+'_stat_'
+          systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+          systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+    if options.channel == "tt":
+      processes = ['dy', 'w', 'tt']
+      for process in processes:
+        template_name = 'ff_'+process+'_frac_tt_syst'
+        weight_name = 'wt_ff_'+options.cat+'_'+process+'_frac_syst_'
+        systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+        systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+
+
+if options.method in [17,18] and options.channel in ['et','mt','tt'] and options.analysis=='cpdecay' and options.do_ff_systs:
+  if options.channel in ['et','mt']:
+    chan = options.channel
+    lt_systs = {}
+    lt_systs['ff_%(chan)s_qcd_syst' % vars()] = 'wt_ff_qcd_syst_' % vars()
+    lt_systs['ff_%(chan)s_wjets_syst' % vars()] = 'wt_ff_wjets_syst_' % vars()
+    lt_systs['ff_%(chan)s_ttbar_syst' % vars()] = 'wt_ff_ttbar_syst_' % vars()
+
+
+    tt_systs['ff_%(chan)s_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_syst_' % vars()
+    tt_systs['ff_%(chan)s_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_syst_' % vars()
+
+
+    tt_systs['ff_%(chan)s_wjets_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_wjets_syst_' % vars()
+    tt_systs['ff_%(chan)s_wjets_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_wjets_syst_' % vars()
+    tt_systs['ff_%(chan)s_wjets_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_wjets_syst_' % vars()
+
+
+
+
+    tt_systs['ff_%(chan)s_wjets_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_wjets_met_' % vars()
+    tt_systs['ff_%(chan)s_wjets_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_wjets_met_' % vars()
+    tt_systs['ff_%(chan)s_wjets_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_wjets_met_' % vars()
+
+
+    tt_systs['ff_%(chan)s_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_met_' % vars()
+    tt_systs['ff_%(chan)s_qcd_met_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_met_' % vars()
+
+
+    tt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_wjets_l_pt_' % vars()
+    tt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_wjets_l_pt_' % vars()
+    tt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_wjets_l_pt_' % vars()
+
+
+    tt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_l_pt_' % vars()
+    tt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_l_pt_' % vars()
+
+
+    for proc in ['qcd','wjets']:
+      lt_systs['ff_%(chan)s_%(proc)s_met_closure_syst' % vars()] = 'wt_ff_%(proc)s_met_' % vars()
+      lt_systs['ff_%(chan)s_%(proc)s_l_pt_closure_syst' % vars()] = 'wt_ff_%(proc)s_l_pt_' % vars()
+
+
+      for njet in ['0','1','2']:
+        for dm in ['0_sig_lt3','0_sig_gt3','1','2','10','11']:
+          #lt_systs[('ff_%(chan)s_%(proc)s_stat_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_%(proc)s_stat_njet%(njet)s_mvadm%(dm)s_' % vars()
+          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc1_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_%(proc)s_stat_unc1_njet%(njet)s_mvadm%(dm)s_' % vars()
+          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc2_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_%(proc)s_stat_unc2_njet%(njet)s_mvadm%(dm)s_' % vars()
+    for template_name in lt_systs:
+      weight_name = lt_systs[template_name]
+      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+
+
+  if options.channel in ['tt']:
+    tt_systs={}
+    tt_systs['ff_tt_qcd_met_closure_syst' % vars()] = 'wt_ff_qcd_met_' % vars()
+    tt_systs['ff_tt_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_met_' % vars()
+    tt_systs['ff_tt_qcd_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_qcd_met_' % vars()
+    tt_systs['ff_tt_qcd_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_qcd_met_' % vars()
+    tt_systs['ff_tt_qcd_syst' % vars()] = 'wt_ff_qcd_syst_' % vars()
+    tt_systs['ff_tt_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_syst_' % vars()
+    tt_systs['ff_tt_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_syst_' % vars()
+
+
+    tt_systs['ff_tt_wjets_syst' % vars()] = 'wt_ff_wjets_syst_' % vars()
+    for njet in ['0','1','2']:
+      for dm in ['0_sig_lt3','0_sig_gt3','1','2','10','11']:
+        #tt_systs[('ff_tt_qcd_stat_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_qcd_stat_njet%(njet)s_mvadm%(dm)s_' % vars()
+        tt_systs[('ff_tt_qcd_stat_unc1_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_qcd_stat_unc1_njet%(njet)s_mvadm%(dm)s_' % vars()
+        tt_systs[('ff_tt_qcd_stat_unc2_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_qcd_stat_unc2_njet%(njet)s_mvadm%(dm)s_' % vars()
+
+
+    for template_name in tt_systs:
+      weight_name = tt_systs[template_name]
+      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+
+
+  template_name = 'ff_%s_sub_syst' % (options.channel)
+  systematics['ff_sub_up']   = ('' , '_'+template_name+'Up',   'wt_ff',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+  systematics['ff_sub_down'] = ('' , '_'+template_name+'Down', 'wt_ff', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+
+
+if options.method in [17,18] and options.channel in ['et','mt','tt'] and options.analysis=='cpprod' and options.do_ff_systs:
+  if options.channel in ['et','mt']:
+    chan = options.channel
+    lt_systs = {}
+    lt_systs['ff_%(chan)s_qcd_syst' % vars()] = 'wt_ff_dmbins_qcd_syst_' % vars()
+    lt_systs['ff_%(chan)s_wjets_syst' % vars()] = 'wt_ff_dmbins_wjets_syst_' % vars()
+    lt_systs['ff_%(chan)s_ttbar_syst' % vars()] = 'wt_ff_dmbins_ttbar_syst_' % vars()
+
+
+    lt_systs['ff_%(chan)s_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_syst_' % vars()
+    lt_systs['ff_%(chan)s_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_syst_' % vars()
+
+
+    lt_systs['ff_%(chan)s_wjets_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_wjets_syst_' % vars()
+    lt_systs['ff_%(chan)s_wjets_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_wjets_syst_' % vars()
+    lt_systs['ff_%(chan)s_wjets_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_wjets_syst_' % vars()
+
+
+
+
+    lt_systs['ff_%(chan)s_wjets_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_wjets_met_' % vars()
+    lt_systs['ff_%(chan)s_wjets_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_wjets_met_' % vars()
+    lt_systs['ff_%(chan)s_wjets_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_wjets_met_' % vars()
+
+
+    lt_systs['ff_%(chan)s_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_met_' % vars()
+    lt_systs['ff_%(chan)s_qcd_met_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_met_' % vars()
+
+
+    lt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_wjets_l_pt_' % vars()
+    lt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_wjets_l_pt_' % vars()
+    lt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_wjets_l_pt_' % vars()
+
+
+    lt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_l_pt_' % vars()
+    lt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_l_pt_' % vars()
+
+
+    for proc in ['qcd','wjets']:
+      lt_systs['ff_%(chan)s_%(proc)s_met_closure_syst' % vars()] = 'wt_ff_dmbins_%(proc)s_met_' % vars()
+      lt_systs['ff_%(chan)s_%(proc)s_l_pt_closure_syst' % vars()] = 'wt_ff_dmbins_%(proc)s_l_pt_' % vars()
+      for njet in ['0','1','2']:
+        for dm in ['0','1','10','11']:
+          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc1_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_%(proc)s_stat_unc1_njet%(njet)s_dm%(dm)s_' % vars()
+          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc2_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_%(proc)s_stat_unc2_njet%(njet)s_dm%(dm)s_' % vars()
+    for template_name in lt_systs:
+      weight_name = lt_systs[template_name]
+      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+
+
+  if options.channel in ['tt']:
+    tt_systs={}
+    tt_systs['ff_tt_qcd_met_closure_syst' % vars()] = 'wt_ff_dmbins_qcd_met_' % vars()
+    tt_systs['ff_tt_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_met_' % vars()
+    tt_systs['ff_tt_qcd_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_qcd_met_' % vars()
+    tt_systs['ff_tt_qcd_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_qcd_met_' % vars()
+
+
+#    tt_systs['ff_tt_qcd_syst' % vars()] = 'wt_ff_dmbins_qcd_syst_' % vars()
+    tt_systs['ff_tt_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_syst_' % vars()
+    tt_systs['ff_tt_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_syst_' % vars()
+
+
+    tt_systs['ff_tt_wjets_syst' % vars()] = 'wt_ff_dmbins_wjets_syst_' % vars()
+    for njet in ['0','1','2']:
+      for dm in ['0','1','10','11']:
+        tt_systs[('ff_tt_qcd_stat_unc1_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_qcd_stat_unc1_njet%(njet)s_dm%(dm)s_' % vars()
+        tt_systs[('ff_tt_qcd_stat_unc2_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_qcd_stat_unc2_njet%(njet)s_dm%(dm)s_' % vars()
+
+
+    for template_name in tt_systs:
+      weight_name = tt_systs[template_name]
+      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+
+
+  template_name = 'ff_%s_sub_syst' % (options.channel)
+  systematics['ff_sub_up']   = ('' , '_'+template_name+'Up',   'wt_ff',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+  systematics['ff_sub_down'] = ('' , '_'+template_name+'Down', 'wt_ff', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
+
+
+if options.method in [17,18] and options.channel in ['et','mt','tt'] and options.analysis in ['mssmrun2','vlq'] and options.do_ff_systs:
+  ch = options.channel
+  yr = options.year
+  if options.channel in ['tt']:
+    tt_systs={}
+    
+    for i in [1,2]:
+      tt_systs['CMS_ff_total_qcd_stat_dR_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_dR_unc%(i)i_' % vars()
+      tt_systs['CMS_ff_total_qcd_stat_pt_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_pt_unc%(i)i_' % vars()
+    tt_systs['CMS_ff_total_qcd_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_' % vars()
+    tt_systs['CMS_ff_total_wjets_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_' % vars()
+    tt_systs['CMS_ff_total_ttbar_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_' % vars()
+
+
+    # new additional uncertainties
+    tt_systs['CMS_ff_total_qcd_syst_dr_closure_%(ch)s_%(yr)s' % vars()]  = 'wt_ff_mssm_qcd_syst_dR_closure_' % vars()
+    tt_systs['CMS_ff_total_qcd_syst_met_closure_%(ch)s_%(yr)s' % vars()]  = 'wt_ff_mssm_qcd_syst_met_closure_' % vars()
+    tt_systs['CMS_ff_total_qcd_syst_pt_2_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_pt_2_closure_' % vars()
+    tt_systs['CMS_ff_total_syst_alt_func_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_syst_alt_func_' % vars()
+
+
+    for njet in [0,1]:
+      for jetpt in ['low','med','high']:
+        for i in [1,2,3]:
+          tt_systs[('CMS_ff_total_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
+
+
+
+
+    for template_name in tt_systs:
+      weight_name = tt_systs[template_name]
+      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
+      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
+
+
+  elif options.channel in ['et','mt']:
+    lt_systs={}
+
+
+    for njet in [0,1]:
+      for i in [1,2]:
+        lt_systs['CMS_ff_total_qcd_stat_ss_njets%(njet)i_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_ss_njets%(njet)i_unc%(i)i_' % vars()
+        lt_systs['CMS_ff_total_wjets_stat_met_njets%(njet)i_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_stat_met_njets%(njet)i_unc%(i)i_' % vars()
+        lt_systs['CMS_ff_total_wjets_stat_l_pt_njets%(njet)i_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_stat_l_pt_njets%(njet)i_unc%(i)i_' % vars()
+
+
+    for i in [1,2]:
+      lt_systs['CMS_ff_total_qcd_stat_os_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_os_unc%(i)i_' % vars()
+      lt_systs['CMS_ff_total_qcd_stat_l_pt_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_l_pt_unc%(i)i_' % vars()
+      lt_systs['CMS_ff_total_qcd_stat_iso_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_iso_unc%(i)i_' % vars()
+      lt_systs['CMS_ff_total_wjets_stat_extrap_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_stat_extrap_unc%(i)i_' % vars()
+      lt_systs['CMS_ff_total_ttbar_stat_met_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_stat_met_unc%(i)i_' % vars()
+      lt_systs['CMS_ff_total_ttbar_stat_l_pt_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_stat_l_pt_unc%(i)i_' % vars()
+
+
+    lt_systs['CMS_ff_total_qcd_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_' % vars()
+    lt_systs['CMS_ff_total_qcd_syst_iso_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_iso_' % vars()
+    lt_systs['CMS_ff_total_wjets_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_' % vars()
+    lt_systs['CMS_ff_total_wjets_syst_extrap_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_extrap_' % vars()
+    lt_systs['CMS_ff_total_ttbar_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_' % vars()
+
+
+    lt_systs['CMS_ff_total_wjets_frac_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_frac_' % vars()
+    lt_systs['CMS_ff_total_ttbar_frac_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_frac_' % vars()
+  
+    lt_systs['CMS_ff_total_low_pt_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_low_pt_' % vars()
+
+
+    # new additional uncertainties
+    lt_systs['CMS_ff_total_qcd_syst_met_closure_%(ch)s_%(yr)s' % vars()]  = 'wt_ff_mssm_qcd_syst_met_closure_' % vars()
+    lt_systs['CMS_ff_total_wjets_syst_met_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_met_closure_' % vars()
+    lt_systs['CMS_ff_total_ttbar_syst_met_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_met_closure_' % vars()
+    lt_systs['CMS_ff_total_wjets_syst_l_pt_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_l_pt_closure_' % vars()
+    lt_systs['CMS_ff_total_ttbar_syst_l_pt_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_l_pt_closure_' % vars()
+    lt_systs['CMS_ff_total_syst_alt_func_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_syst_alt_func_' % vars()
+    lt_systs['CMS_ff_total_qcd_syst_bkg_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_bkg_' % vars()
+    lt_systs['CMS_ff_total_wjets_syst_bkg_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_bkg_' % vars()
+
+
+    for njet in [0,1]:
+      for jetpt in ['low','med','high']:
+        for i in [1,2,3]:
+          lt_systs[('CMS_ff_total_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
+        for i in [1,2,3,4]:
+          lt_systs[('CMS_ff_total_wjets_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_wjets_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
+        for i in [1,2,3]:
+          lt_systs[('CMS_ff_total_ttbar_stat_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_ttbar_stat_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
+
+
+    if options.qcd_ff_closure or options.w_ff_closure:
+      for key,val in lt_systs.items():
+        if options.qcd_ff_closure:
+          lt_systs[key] = '(wt_ff_mssm_qcd_1/wt_ff_mssm_1)*%(val)s' % vars()
+        elif options.w_ff_closure:
+          lt_systs[key] = '(wt_ff_mssm_wjets_1/wt_ff_mssm_1)*%(val)s' % vars()
+
+
+
+
+    for template_name in lt_systs:
+      weight_name = lt_systs[template_name]
+      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
+      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
+
+
+  template_name = 'CMS_ff_total_sub_syst_%(ch)s_%(yr)s' % vars()
+  systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   'wt_ff',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
+  systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', 'wt_ff', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
+
+
+
+
+if options.syst_qcd_bkg: 
+    systematics['qcd_sub_up'] = ('','_'+options.syst_qcd_bkg+'Up', 'wt', ['EWKZ','ZTT','ZJ','ZL','ZLL','VV','VVT','VVJ','TT','TTT','TTJ','W','signal','EmbedZTT','jetFakes'], False)
+    systematics['qcd_sub_down'] = ('','_'+options.syst_qcd_bkg+'Down', 'wt', ['EWKZ','ZTT','ZJ','ZL','ZLL','VV','VVT','VVJ','TT','TTT','TTJ','W','signal','EmbedZTT','jetFakes'], False)
+
+
+
+
+if options.no_systs: systematics = {'default' : ('','', 'wt', [], False)}
+
+
+# sort systematics by tree's input directory name        
+systematics = OrderedDict(sorted(systematics.items(), key=lambda key: key[1]))
+
+
+if options.qcd_os_ss_ratio > 0:
+    qcd_os_ss_ratio = options.qcd_os_ss_ratio
+else:
+    if options.analysis in ['sm','cpprod','cpdecay','mssmrun2','vlq']:
+      if options.channel == 'et':
+          qcd_os_ss_ratio = 1.0
+          qcd_os_ss_ratio = 1.13 
+          if options.cat == '0jet':
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 0.97
+            else: qcd_os_ss_ratio = 1.0
+          elif options.cat == 'boosted':
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.61
+            else: qcd_os_ss_ratio = 1.28
+          elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
+          elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
+                  # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
+                  ]: qcd_os_ss_ratio = 1.82
+          elif options.cat in ['btag']: qcd_os_ss_ratio = 1.16
+
+
+      elif options.channel in ['mt','mj']: 
+          #qcd_os_ss_ratio = 1.07
+          qcd_os_ss_ratio = 1.12
+          if options.cat == '0jet':
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.15
+            else: qcd_os_ss_ratio = 1.07
+          elif options.cat == 'boosted':
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.18
+            else: qcd_os_ss_ratio = 1.06
+          elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
+          elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
+                  # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
+                  ]: qcd_os_ss_ratio = 1.23
+          elif options.cat in ['btag']: qcd_os_ss_ratio = 1.01
+      elif options.channel == 'zmm' or options.channel == 'zee':
+          qcd_os_ss_ratio = 1.07   
+      elif options.channel == 'em': 
+          qcd_os_ss_ratio = 1.0
+      else:
+          qcd_os_ss_ratio = 1.0  
+    else:
+      if options.channel == 'et':
+          qcd_os_ss_ratio = 1.02
+          if options.cat == 'inclusive': qcd_os_ss_ratio = 1.13
+          elif options.cat in ['nobtag', 'nobtag_tightmt', 'nobtag_loosemt']: qcd_os_ss_ratio = 1.11
+          elif options.cat in ['btag', 'btag_tightmt', 'btag_loosemt']: qcd_os_ss_ratio = 1.16
+      elif options.channel in ['mt','mj']: 
+          qcd_os_ss_ratio = 1.18
+          if options.cat == 'inclusive': qcd_os_ss_ratio = 1.12
+          elif options.cat in ['nobtag', 'nobtag_tightmt', 'nobtag_loosemt']: qcd_os_ss_ratio = 1.14
+          elif options.cat in ['btag', 'btag_tightmt', 'btag_loosemt']: qcd_os_ss_ratio = 1.01
+      elif options.channel == 'zmm' or options.channel == 'zee':
+          qcd_os_ss_ratio = 1.06   
+      else:
+          qcd_os_ss_ratio = 1.0
+#if options.do_ss:
+#    qcd_os_ss_ratio = 1.0
+
+
+
+
+# Get array of signal masses to process        
+ggh_masses=None
+bbh_masses=None
+sm_masses=None
+bbh_masses_powheg=None
+ggh_masses_powheg=None
+if options.sm_masses != "": sm_masses = options.sm_masses.split(',')
+if options.ggh_masses != "": ggh_masses = options.ggh_masses.split(',')
+if options.bbh_masses != "": bbh_masses = options.bbh_masses.split(',')
+if options.bbh_nlo_masses != "": bbh_nlo_masses = options.bbh_nlo_masses.split(',')
+if options.ggh_masses_powheg != "": ggh_masses = options.ggh_masses_powheg.split(',')
+if options.bbh_masses_powheg != "": bbh_masses = options.bbh_masses_powheg.split(',')
+
+
+
+
+ROOT.TH1.SetDefaultSumw2(True)
+
+
+# All functions defined here
+
+
+def BuildCutString(wt='', sel='', cat='', sign='os',bkg_sel=''):
+    full_selection = '(1)'
+    if wt != '':
+        full_selection = '('+wt+')'
+    if sel != '':
+        full_selection += '*('+sel+')'
+    if sign != '':
+        full_selection += '*('+sign+')'
+    if bkg_sel != '':
+        full_selection += '*('+bkg_sel+')'
+    if cat != '':
+        full_selection += '*('+cat+')'
+    return full_selection
+
+
+def GetZTTNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['ztt_sel'])
+    return ana.SummedFactory('ZTT'+add_name, samples, plot, full_selection)
+def GetEmbeddedNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    wt_ = wt
+    if options.analysis in ['mssmrun2','vlq']:
+      if options.channel == 'tt': 
+        wt_+='*(pt_1/gen_match_1_pt<1.5&&pt_2/gen_match_2_pt<1.5)'
+        if options.year == "2016": wt_+='*1.008'
+        else: wt_+='*1.01'
+      if options.channel in ['et','mt']: wt_+='*(pt_2/gen_match_2_pt<1.5)*1.005'
+      #wt_+='*wt_emb_sel_kit/trackingweight_1'
+      wt_+='*1/trackingweight_1'
+    if options.channel == 'em':
+      #for em channel there are non-closures wrt data and MC which are corrected here with these additional correction factors
+      if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: wt_+='*1.106'
+      if options.era in ['cpsummer17','UL_17']: wt_+='*1.080'
+      if options.era in ['cp18','UL_18']: wt_+='*1.101'
+      if options.era in ['22']: wt_+='*1.101'
+    full_selection = BuildCutString(wt_+'*(wt<2)', sel, cat, OSSS, z_sels['ztt_sel'])
+    return ana.SummedFactory('EmbedZTT'+add_name, samples, plot, full_selection)
+
+
+
+
+def GetZLLNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['zll_sel'])
+    return ana.SummedFactory('ZLL'+add_name, samples, plot, full_selection)
+
+
+def GetZLNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['zl_sel'])
+    return ana.SummedFactory('ZL'+add_name, samples, plot, full_selection)
+
+
+def GetZLEmbeddedNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    wt_=wt
+    if options.analysis in ['mssmrun2','vlq']:
+      #wt_+='*wt_emb_sel_kit/(trackingweight_1*trackingweight_2)'
+      #wt_+='*wt_zpt_embed_ic/(trackingweight_1*trackingweight_2)'
+      wt_+='*1/(trackingweight_1*trackingweight_2)'
+    full_selection = BuildCutString(wt_, sel, cat, OSSS, '1')
+    return ana.SummedFactory('EmbedZL'+add_name, samples, plot, full_selection)
+
+
+def GetZJNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['zj_sel'])
+    return ana.SummedFactory('ZJ'+add_name, samples, plot, full_selection)
+
+
+def GenerateZLL(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True, doZL=True, doZJ=True):
+    if options.channel == 'em':
+        zll_node = GetZLLNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
+        ana.nodes[nodename].AddNode(zll_node)
+    else:
+        if doZL:
+            zl_node = GetZLNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
+            ana.nodes[nodename].AddNode(zl_node)
+        if doZJ:
+            zj_node = GetZJNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
+            ana.nodes[nodename].AddNode(zj_node)  
+
+
+def GenerateZTT(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    ztt_node = GetZTTNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)  
+    ana.nodes[nodename].AddNode(ztt_node)
+    split_taus = False
+    if split_taus:
+      ztt_node_rho = GetZTTNode(ana, '_rho'+add_name, samples, plot, wt, sel+'&&tauFlag_2==1', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(ztt_node_rho) 
+      ztt_node_a1 = GetZTTNode(ana, '_a1'+add_name, samples, plot, wt, sel+'&&tauFlag_2==2', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(ztt_node_a1)
+      ztt_node_pi = GetZTTNode(ana, '_pi'+add_name, samples, plot, wt, sel+'&&tauFlag_2==0', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(ztt_node_pi)
+      ztt_node_other = GetZTTNode(ana, '_other'+add_name, samples, plot, wt, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(ztt_node_other)  
+    
+def GenerateEmbedded(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    embed_node = GetEmbeddedNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
+    ana.nodes[nodename].AddNode(embed_node)   
+    if split_taus:
+      embed_node_rho = GetEmbeddedNode(ana, '_rho'+add_name, samples, plot, wt, sel+'&&tauFlag_2==1', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(embed_node_rho)
+      embed_node_a1 = GetEmbeddedNode(ana, '_a1'+add_name, samples, plot, wt, sel+'&&tauFlag_2==2', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(embed_node_a1)
+      embed_node_pi = GetEmbeddedNode(ana, '_pi'+add_name, samples, plot, wt, sel+'&&tauFlag_2==0', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(embed_node_pi)
+      embed_node_other = GetEmbeddedNode(ana, '_other'+add_name, samples, plot, wt, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, z_sels, get_os)
+      ana.nodes[nodename].AddNode(embed_node_other) 
+def GenerateZLEmbedded(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    embed_node = GetZLEmbeddedNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
+    ana.nodes[nodename].AddNode(embed_node)  
+    
+def GetEWKZNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True, doJFakes=True):
+    extra_sel = '1'
+    if not doJFakes:
+      if options.channel in ['et','mt']: extra_sel = 'gen_match_2<6'
+      if options.channel == 'tt': extra_sel = '!(gen_match_1==6 || gen_match_2==6)'
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    if options.embedding: full_selection = BuildCutString(wt, sel, cat, OSSS, extra_top_sel+'&&'+extra_sel) 
+    else: full_selection = BuildCutString(wt, sel, cat, OSSS, extra_sel)
+    return ana.SummedFactory('EWKZ'+add_name, samples, plot, full_selection)
+
+
+def GenerateEWKZ(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
+    ewkz_node = GetEWKZNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os, options.method != 17)  
+    ana.nodes[nodename].AddNode(ewkz_node) 
+
+
+def GetggHWWNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS, '1')
+    return ana.SummedFactory('ggH_hww125'+add_name, samples, plot, full_selection)
+
+
+def GetqqHWWNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', get_os=True):
+    if get_os: OSSS = 'os'
+    else: OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS, '1')
+    return ana.SummedFactory('qqH_hww125'+add_name, samples, plot, full_selection)
+
+
+def GenerateHWW(ana, add_name='', ggh_samples=[], qqh_samples=[], plot='', wt='', sel='', cat='', get_os=True, doggH=True, doqqH=True):
+  if doggH:
+      gghww_node = GetggHWWNode(ana, add_name, ggh_samples, plot, wt, sel, cat, get_os)
+      ana.nodes[nodename].AddNode(gghww_node)
+  if doqqH:
+      qqhww_node = GetqqHWWNode(ana, add_name, qqh_samples, plot, wt, sel, cat, get_os)
+      ana.nodes[nodename].AddNode(qqhww_node)
+
+
+def GetTTTNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True):
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'  
+  full_selection = BuildCutString(wt, sel, cat, OSSS, top_sels['ttt_sel'])
+  return ana.SummedFactory('TTT'+add_name, samples, plot, full_selection)
+  
+def GetTTTforZTTNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True):
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'
+  full_selection = BuildCutString(wt, sel, cat, OSSS, top_sels['ttt_ztt_sel'])
+  return ana.SummedFactory('TTT_for_ZTT'+add_name, samples, plot, full_selection)
+
+
+
+
+def GetTTJNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True):
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'  
+  full_selection = BuildCutString(wt, sel, cat, OSSS, top_sels['ttj_sel'])
+  return ana.SummedFactory('TTJ'+add_name, samples, plot, full_selection)
+
+
+def GenerateTop(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True, doTTT=True, doTTJ=True):
+  wt_=wt#+"*wt_tquark_down"
+  if doTTT:
+      ttt_node = GetTTTNode(ana, add_name, samples, plot, wt_, sel, cat, top_sels, get_os)
+      ana.nodes[nodename].AddNode(ttt_node)
+      if options.embedding:
+        ttt_for_ztt_node = GetTTTforZTTNode(ana, add_name, samples, plot, wt_, sel, cat, top_sels, get_os)
+        ana.nodes[nodename].AddNode(ttt_for_ztt_node)
+
+
+      if split_taus:
+       ttt_node_rho = GetTTTNode(ana, '_rho'+add_name, samples, plot, wt_, sel+'&&tauFlag_2==1', cat, top_sels, get_os)
+       ana.nodes[nodename].AddNode(ttt_node_rho)
+       ttt_node_a1 = GetTTTNode(ana, '_a1'+add_name, samples, plot, wt_, sel+'&&tauFlag_2==2', cat, top_sels, get_os)
+       ana.nodes[nodename].AddNode(ttt_node_a1)
+       ttt_node_pi = GetTTTNode(ana, '_pi'+add_name, samples, plot, wt_, sel+'&&tauFlag_2==0', cat, top_sels, get_os)
+       ana.nodes[nodename].AddNode(ttt_node_pi)
+       ttt_node_other = GetTTTNode(ana, '_other'+add_name, samples, plot, wt_, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, top_sels, get_os)
+       ana.nodes[nodename].AddNode(ttt_node_other)
+
+
+  if doTTJ:
+      ttj_node = GetTTJNode(ana, add_name, samples, plot, wt_, sel, cat, top_sels, get_os)
+      ana.nodes[nodename].AddNode(ttj_node)
+
+
+def GetVVTNode(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True): 
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'  
+  full_selection = BuildCutString(wt, sel, cat, OSSS, vv_sels['vvt_sel'])
+  return ana.SummedFactory('VVT'+add_name, samples, plot, full_selection)
+
+
+def GetVVTforZTTNode(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True):
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'
+  full_selection = BuildCutString(wt, sel, cat, OSSS, vv_sels['vvt_ztt_sel'])
+  return ana.SummedFactory('VVT_for_ZTT'+add_name, samples, plot, full_selection)
+
+
+
+
+def GetVVJNode(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True): 
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'  
+  full_selection = BuildCutString(wt, sel, cat, OSSS, vv_sels['vvj_sel'])
+  return ana.SummedFactory('VVJ'+add_name, samples, plot, full_selection)
+
+
+def GenerateVV(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True, doVVT=True, doVVJ=True): 
+  if doVVT:
+      vvt_node = GetVVTNode(ana, add_name, samples, plot, wt, sel, cat, vv_sels, get_os)
+      ana.nodes[nodename].AddNode(vvt_node)
+      if options.embedding:
+        vvt_for_ztt_node = GetVVTforZTTNode(ana, add_name, samples, plot, wt, sel, cat, vv_sels, get_os)
+        ana.nodes[nodename].AddNode(vvt_for_ztt_node)
+      if split_taus:
+       vvt_node_rho = GetVVTNode(ana, '_rho'+add_name, samples, plot, wt, sel+'&&tauFlag_2==1', cat, vv_sels, get_os)
+       ana.nodes[nodename].AddNode(vvt_node_rho)
+       vvt_node_a1 = GetVVTNode(ana, '_a1'+add_name, samples, plot, wt, sel+'&&tauFlag_2==2', cat, vv_sels, get_os)
+       ana.nodes[nodename].AddNode(vvt_node_a1)
+       vvt_node_pi = GetVVTNode(ana, '_pi'+add_name, samples, plot, wt, sel+'&&tauFlag_2==0', cat, vv_sels, get_os)
+       ana.nodes[nodename].AddNode(vvt_node_pi)
+       vvt_node_other = GetVVTNode(ana, '_other'+add_name, samples, plot, wt, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, vv_sels, get_os)
+       ana.nodes[nodename].AddNode(vvt_node_other)
+
+
+  if doVVJ:
+      vvj_node = GetVVJNode(ana, add_name, samples, plot, wt, sel, cat, vv_sels, get_os)
+      ana.nodes[nodename].AddNode(vvj_node)
+      
+def GetWGNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', get_os=True):
+  if get_os:
+      OSSS = 'os'
+  else:
+      OSSS = '!os'   
+  full_selection = BuildCutString(wt, sel, cat, OSSS)
+  wg_node = ana.SummedFactory('WGam'+add_name, samples, plot, full_selection)
+  return wg_node
+
+
+def GetWNode(ana, name='W', samples=[], data=[], plot='',plot_unmodified='', wt='', sel='', cat='', cat_data='', method=8, qcd_factor=qcd_os_ss_ratio, get_os=True):
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'
+  full_selection = BuildCutString(wt, sel, cat, OSSS, '')
+  if cats['w_shape'] != '': shape_cat = cats['w_shape']
+  else: shape_cat = cat
+  if method == 14:
+      shape_cat = '(n_jets<=1 && n_loose_bjets>=1)*('+cats['baseline']+')'
+  shape_selection = BuildCutString(wt, sel, shape_cat, OSSS, '')
+  
+  if method in [0, 8, 9, 15, 19]:
+      w_node = ana.SummedFactory(name, samples, plot, full_selection)
+  elif method in [10, 11]:
+      control_sel = cats['w_sdb']+' && '+ OSSS
+      w_control_full_selection = BuildCutString(wt, control_sel, cat, OSSS)
+      w_control_full_selection_data = BuildCutString(wt, control_sel, cat_data, OSSS)
+      subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,True,False) 
+      if shape_selection == full_selection:
+          w_shape = None
+      else:    
+          w_shape = ana.SummedFactory('w_shape', samples, plot, shape_selection)
+      w_node = HttWNode(name,
+        ana.SummedFactory('data_obs', data, plot_unmodified, w_control_full_selection_data),
+        subtract_node,
+        ana.SummedFactory('W_cr', samples, plot, w_control_full_selection),
+        ana.SummedFactory('W_sr', samples, plot, full_selection),
+        w_shape)
+  elif method in [12, 13, 14, 16, 23]:
+      if method == 16:
+          cat_nobtag = '('+cats['btag_wnobtag']+')*('+cats['baseline']+')'
+          cat_nobtag_data = '('+cats_unmodified['btag_wnobtag']+')*('+cats_unmodified['baseline']+')'
+          full_selection = BuildCutString(wt, sel, cat_nobtag, OSSS)
+          ss_selection = BuildCutString(wt, '', cat_nobtag, '!os', '')
+          os_selection = BuildCutString(wt, '', cat_nobtag, 'os', '')
+          control_sel = cats['w_sdb']
+          w_control_full_selection = BuildCutString(wt, control_sel, cat_nobtag, OSSS)
+          w_control_full_selection_os = BuildCutString(wt, control_sel, cat_nobtag)
+          w_control_full_selection_ss = BuildCutString(wt, control_sel, cat_nobtag, '!os')
+          w_control_full_selection_os_data = BuildCutString(wt, control_sel, cat_nobtag_data)
+          w_control_full_selection_ss_data = BuildCutString(wt, control_sel, cat_nobtag_data, '!os')
+          btag_extrap_sel_num = BuildCutString(wt, sel, cat, OSSS, '')
+          btag_extrap_sel_den = BuildCutString(wt, sel, cat_nobtag, OSSS, '')
+          btag_extrap_num_node = ana.SummedFactory('btag', samples, plot, btag_extrap_sel_num)
+          btag_extrap_den_node = ana.SummedFactory('no_btag', samples, plot, btag_extrap_sel_den)
+          subtract_node_os = GetSubtractNode(ana,'_os',plot,plot_unmodified,wt,control_sel,cat_nobtag,cat_nobtag_data,method,qcd_os_ss_ratio,True,False) 
+          subtract_node_ss = GetSubtractNode(ana,'_ss',plot,plot_unmodified,wt,control_sel,cat_nobtag,cat_nobtag_data,method,qcd_os_ss_ratio,False,False)
+      elif method == 23:
+          cat_nopt = '('+cats['dijet_lowboost']+')*('+cats['baseline']+')'
+          cat_nopt_data = '('+cats_unmodified['dijet_lowboost']+')*('+cats_unmodified['baseline']+')'
+          full_selection = BuildCutString(wt, sel, cat_nopt, OSSS)
+          ss_selection = BuildCutString(wt, '', cat_nopt, '!os', '')
+          os_selection = BuildCutString(wt, '', cat_nopt, 'os', '')
+          control_sel = cats['w_sdb']
+          w_control_full_selection = BuildCutString(wt, control_sel, cat_nopt, OSSS)
+          w_control_full_selection_os = BuildCutString(wt, control_sel, cat_nopt)
+          w_control_full_selection_ss = BuildCutString(wt, control_sel, cat_nopt, '!os')
+          w_control_full_selection_os_data = BuildCutString(wt, control_sel, cat_nopt_data)
+          w_control_full_selection_ss_data = BuildCutString(wt, control_sel, cat_nopt_data, '!os')
+          btag_extrap_sel_num = BuildCutString(wt, sel, cat, OSSS, '')
+          btag_extrap_sel_den = BuildCutString(wt, sel, cat_nopt, OSSS, '')
+          btag_extrap_num_node = ana.SummedFactory('btag', samples, plot, btag_extrap_sel_num)
+          btag_extrap_den_node = ana.SummedFactory('no_btag', samples, plot, btag_extrap_sel_den)
+          subtract_node_os = GetSubtractNode(ana,'_os',plot,plot_unmodified,wt,control_sel,cat_nopt,cat_nopt_data,method,qcd_os_ss_ratio,True,False) 
+          subtract_node_ss = GetSubtractNode(ana,'_ss',plot,plot_unmodified,wt,control_sel,cat_nopt,cat_nopt_data,method,qcd_os_ss_ratio,False,False)    
+      else:
+          full_selection = BuildCutString(wt, sel, cat, OSSS)
+          ss_selection = BuildCutString(wt, '', cat, '!os', '')
+          os_selection = BuildCutString(wt, '', cat, 'os', '')
+          control_sel = cats['w_sdb']
+          w_control_full_selection = BuildCutString(wt, control_sel, cat, OSSS)
+          w_control_full_selection_os = BuildCutString(wt, control_sel, cat)
+          w_control_full_selection_ss = BuildCutString(wt, control_sel, cat, '!os')
+          w_control_full_selection_os_data = BuildCutString(wt, control_sel, cat_data)
+          w_control_full_selection_ss_data = BuildCutString(wt, control_sel, cat_data, '!os')
+          btag_extrap_num_node = None
+          btag_extrap_den_node = None
+          subtract_node_os = GetSubtractNode(ana,'_os',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,True,False) 
+          subtract_node_ss = GetSubtractNode(ana,'_ss',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,False,False)
+          
+      if shape_selection == full_selection:
+          w_shape = None
+      else:    
+          w_shape = ana.SummedFactory('w_shape', samples, plot, shape_selection)
+      w_node = HttWOSSSNode(name,
+        ana.SummedFactory('data_os', data, plot_unmodified, w_control_full_selection_os_data),
+        subtract_node_os,
+        ana.SummedFactory('data_ss', data, plot_unmodified, w_control_full_selection_ss_data),
+        subtract_node_ss,
+        ana.SummedFactory('W_cr', samples, plot, w_control_full_selection),
+        ana.SummedFactory('W_sr', samples, plot, full_selection),
+        ana.SummedFactory('W_os', samples, plot, os_selection),
+        ana.SummedFactory('W_ss', samples, plot, ss_selection),
+        w_shape,
+        qcd_factor,
+        get_os,
+        btag_extrap_num_node,
+        btag_extrap_den_node) 
+      
+  elif method in [21,22,24,25]:
+    control_sel = cats['w_sdb']+' && '+ OSSS
+    w_control_full_selection = BuildCutString(wt, control_sel, cat, OSSS)
+    w_control_full_selection_data = BuildCutString(wt, control_sel, cat_data, OSSS)
+    data_node=ana.SummedFactory('data_obs', data, plot_unmodified, w_control_full_selection_data)
+    subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,True,False) 
+    
+    qcd_subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,cats['w_sdb'],cat,cat_data,8,qcd_os_ss_ratio,False,True)
+    qcd_control_full_selection = BuildCutString(wt, cats['w_sdb'], cat, '!os')
+    qcd_control_full_selection_data = BuildCutString(wt, cats['w_sdb'], cat_data, '!os')
+    qcd_node = HttQCDNode('QCD'+add_name,
+      ana.SummedFactory('data_ss', data, plot_unmodified, qcd_control_full_selection_data),
+      qcd_subtract_node,
+      qcd_factor,
+      None)
+    
+    subtract_node.AddNode(qcd_node)
+    
+    if shape_selection == full_selection: w_shape = None
+    else: w_shape = ana.SummedFactory('w_shape', samples, plot, shape_selection)
+    
+    if method in [22]:
+      data_node = None
+      wsf_num = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 21, qcd_factor, True)
+      wsf_denum = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 8, qcd_factor, True)
+    if method in [24]:
+      data_node = None
+      cat_nopt = '('+cats['dijet']+')*('+cats['baseline']+')'
+      cat_nopt_data = '('+cats_unmodified['dijet_lowboost']+')*('+cats_unmodified['baseline']+')'
+      wsf_num = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 8, qcd_factor, True)
+      wsf_denum = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat_nopt, cat_nopt_data, 8, qcd_factor, True)  
+    if method in [25]:
+      data_node = None
+      wsf_num = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 24, qcd_factor, True)
+      wsf_denum = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 8, qcd_factor, True)   
+    else:
+      wsf_num = None
+      wsf_denum = None    
+    
+    w_node = HttWNode(name,
+      data_node,
+      subtract_node,
+      ana.SummedFactory('W_cr', samples, plot, w_control_full_selection),
+      ana.SummedFactory('W_sr', samples, plot, full_selection),
+      w_shape,
+      wsf_num,
+      wsf_denum)
+  return w_node
+
+
+def GenerateW(ana, add_name='', samples=[], data=[], wg_samples=[], plot='', plot_unmodified='', wt='', sel='', cat='', cat_data='', method=8, qcd_factor=qcd_os_ss_ratio, get_os=True):
+  w_node_name = 'W'  
+  if options.channel == 'em':
+      w_total_node = SummedNode('W'+add_name)
+      w_total_node.AddNode(GetWGNode(ana, add_name, wg_samples, plot, wt, sel, cat, get_os))
+      ana.nodes[nodename].AddNode(GetWGNode(ana, add_name, wg_samples, plot, wt, sel, cat, get_os))
+      w_node_name+='J'
+  ana.nodes[nodename].AddNode(GetWNode(ana, w_node_name+add_name, samples, data, plot, plot_unmodified, wt, sel, cat, cat_data, method, qcd_factor, get_os))
+  if options.channel == 'em':
+      w_total_node.AddNode(GetWNode(ana, w_node_name+add_name, samples, data, plot, plot_unmodified, wt, sel, cat, cat_data, method, qcd_factor, get_os))
+      ana.nodes[nodename].AddNode(w_total_node)
+
+
+def GetSubtractNode(ana,add_name,plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,OSSS,includeW=False,w_shift=None):
+  subtract_node = SummedNode('total_bkg'+add_name)
+  if includeW and options.era!='22':
+      if w_shift is not None: w_wt = '%s*%f' %(wt,w_shift)
+      else: w_wt = wt
+      w_node = GetWNode(ana, 'W', wjets_samples, data_samples, plot, plot_unmodified, w_wt, sel, cat, cat_data,method, qcd_os_ss_ratio, OSSS)
+      subtract_node.AddNode(w_node)
+  ttt_node = GetTTTNode(ana, "", top_samples, plot, wt, sel, cat, top_sels, OSSS)
+  ttj_node = GetTTJNode(ana, "", top_samples, plot, wt, sel, cat, top_sels, OSSS)
+  vvt_node = GetVVTNode(ana, "", vv_samples, plot, wt, sel, cat, vv_sels, OSSS)
+  vvj_node = GetVVJNode(ana, "", vv_samples, plot, wt, sel, cat, vv_sels, OSSS)
+  subtract_node.AddNode(ttt_node)
+  subtract_node.AddNode(ttj_node)
+  subtract_node.AddNode(vvt_node)
+  subtract_node.AddNode(vvj_node)
+  if options.embedding and options.channel != 'zmm': 
+    embed_node = GetEmbeddedNode(ana, "", embed_samples, plot, wt, sel, cat, z_sels, OSSS)
+    subtract_node.AddNode(embed_node)
+  else:
+    ztt_node = GetZTTNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
+    subtract_node.AddNode(ztt_node)
+  if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] and options.method!=0: 
+    ewkz_node = GetEWKZNode(ana, "", ewkz_samples, plot, wt, sel, cat, z_sels, OSSS)
+    subtract_node.AddNode(ewkz_node)
+  if options.channel not in ["em"]:
+      zl_node = GetZLNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
+      zj_node = GetZJNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
+      subtract_node.AddNode(zl_node)
+      subtract_node.AddNode(zj_node)
+  if options.channel in ["em"]:
+      zll_node = GetZLLNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
+      subtract_node.AddNode(zll_node)
+  if options.channel == "em":
+      wg_node = GetWGNode(ana, "", wgam_samples, plot, wt, sel, cat, OSSS)
+      subtract_node.AddNode(wg_node)
+  #print(subtract_node.shape)
+  return subtract_node
+      
+def GenerateQCD(ana, add_name='', data=[], plot='', plot_unmodified='', wt='', sel='', cat='', cat_data='', method=8, qcd_factor=qcd_os_ss_ratio, get_os=True,w_shift=None):
+    shape_node = None
+    OSSS = "!os"
+    if get_os: OSSS = "os"
+    if method == 0:
+        subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,8,1.0,get_os,True)
+        full_selection = BuildCutString(wt, sel, cat_data, OSSS)
+        ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
+          ana.SummedFactory('data', data, plot_unmodified, full_selection),
+          subtract_node,
+          1.0))
+        return
+
+
+    if options.channel != 'tt':
+        sub_shift='*1.0'
+        if 'qcd_sub_up' in systematic: sub_shift = '*1.1'
+        if 'qcd_sub_down' in systematic: sub_shift = '*0.9'
+        if method in [9, 11, 13, 14]:
+            if method in [9, 11, 13]: 
+              shape_cat = '('+cats[options.cat]+')*('+cats['qcd_loose_shape']+')'
+              shape_cat_data = '('+cats_unmodified[options.cat]+')*('+cats_unmodified['qcd_loose_shape']+')'
+            elif method == 14:
+                shape_cat = '(n_jets<=1 && n_loose_bjets>=1)*('+cats['baseline']+')'
+                shape_cat_data = '(n_jets<=1 && n_loose_bjets>=1)*('+cats_unmodified['baseline']+')'
+            shape_selection = BuildCutString(wt, sel, shape_cat_data, '!os')
+            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_shift,sel,shape_cat,shape_cat_data,method,qcd_os_ss_ratio,False,True)  
+            shape_node = SubtractNode('shape', ana.SummedFactory('data_ss', data, plot_unmodified, shape_selection), subtract_node)
+        
+        #if options.channel == 'em': qcd_os_ss_factor = 1
+        qcd_os_ss_factor = qcd_factor
+        weight = wt
+        if method in [15,19]:
+            #qcd_os_ss_factor = 1
+            if get_os and options.channel == "em":
+                weight = wt+'*wt_em_qcd' 
+                #if options.era in ['cpsummer16','cpdecay16',"legacy16",'mvadm2016']: weight+='*wt_em_qcd_extrapup'
+            if options.em_qcd_weight != '':
+                weight=wt+'*'+options.em_qcd_weight
+            if method == 19:
+                shape_selection = BuildCutString(weight, sel, cats_unmodified['em_shape_cat'], '!os')
+                subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight+sub_shift,sel,cats['em_shape_cat'],cats_unmodified['em_shape_cat'],method,1,False,True)
+                shape_node = SubtractNode('shape', ana.SummedFactory('data_ss',data, plot_unmodified, shape_selection), subtract_node)
+             
+        if cats['qcd_shape'] != "" or (w_shift is not None and w_shift!=1.0):
+            add_shape = False
+            if cats['qcd_shape'] == '': shape_cat = cat
+            else: 
+              shape_cat = cats['qcd_shape']
+              add_shape = True
+            if cats['qcd_shape'] == '': shape_cat_data = cat_data
+            else: 
+              shape_cat_data = cats_unmodified['qcd_shape']
+              add_shape = True
+            if add_shape:
+              shape_selection = BuildCutString(weight, sel, shape_cat_data, '!os')
+              if method == 21: subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,shape_cat,shape_cat_data,22,1,False,True,w_shift)
+              else: subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,shape_cat,shape_cat_data,method,1,False,True,w_shift)
+              shape_node = SubtractNode('shape', ana.SummedFactory('data_ss',data, plot_unmodified, shape_selection), subtract_node)
+            else: shape_node = None
+        
+        full_selection = BuildCutString(weight, sel, cat_data, '!os')
+        if method == 21: 
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,cat,cat_data,22,qcd_os_ss_ratio,False,True)
+        elif method == 24: 
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,cat,cat_data,25,qcd_os_ss_ratio,False,True)  
+        else: subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight+sub_shift,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)
+        if get_os: qcd_ratio = qcd_os_ss_factor
+        else: qcd_ratio = 1.0
+        ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
+          ana.SummedFactory('data_ss', data, plot_unmodified, full_selection),
+          subtract_node,
+          qcd_ratio,
+          shape_node))
+        
+    else:
+        if method == 8:
+          qcd_sdb_cat = cats[options.cat]+' && '+cats['tt_qcd_norm'] 
+          qcd_sdb_cat_data = cats_unmodified[options.cat]+' && '+cats_unmodified['tt_qcd_norm']
+          # if options.no_qcd_subtract:
+          #   subtract_node =None       
+          # else:
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True) 
+          num_selection = BuildCutString(wt, sel, cat_data, '!os')
+          num_node = SubtractNode('ratio_num',
+                       ana.SummedFactory('data', data, plot_unmodified, num_selection),
+                       subtract_node)
+          if options.analysis == 'mssmsummer16': tau_id_wt = 'wt_tau2_id_loose'
+          else: tau_id_wt = '1'
+          # if options.no_qcd_subtract:
+          #   subtract_node =None 
+          # else:
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,False,True)
+          den_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, '!os')
+          den_node = SubtractNode('ratio_den',
+                       ana.SummedFactory('data', data, plot_unmodified, den_selection),
+                       subtract_node)
+          shape_node = None   
+          full_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, OSSS)
+          # if options.no_qcd_subtract:
+          #   subtract_node = None
+          # else:
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,get_os,True)
+  
+          ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
+            ana.SummedFactory('data', data, plot_unmodified, full_selection),
+            subtract_node,
+            1,
+            shape_node,
+            num_node,
+            den_node))
+        if method == 9:
+          #osss = '(3.68434 -1.8015*dR + 0.488955*dR*dR -0.0489159*dR*dR*dR)' # this line to be inclusive by decay mode
+          osss = '((tau_decay_mode_1<2&&tau_decay_mode_2<2)*(3.555-1.689*dR+0.4741*dR*dR-0.04973*dR*dR*dR) + ((tau_decay_mode_1<2&&tau_decay_mode_2>9)||(tau_decay_mode_1>9&&tau_decay_mode_2<2))*(2.851-1.008*dR+0.2374*dR*dR-0.02331*dR*dR*dR) + (tau_decay_mode_1>9&&tau_decay_mode_2>9)*(3.391-2.21*dR+0.7623*dR*dR-0.08775*dR*dR*dR))'
+          weight = wt
+          if get_os:
+              weight = wt+'*'+osss
+          full_selection = BuildCutString(weight, sel, cat_data, '!os')
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)
+          ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
+          ana.SummedFactory('data_ss', data, plot_unmodified, full_selection),
+          subtract_node,
+          1.0,
+          None))
+            
+        
+def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='', sel='', cat_name='',get_os=True,ff_syst_weight=None):
+
+
+    if get_os:
+        OSSS = 'os'
+    else:
+        OSSS = '!os'
+
+
+    sub_wt=''
+    if 'sub_syst' in add_name and 'Up' in add_name: sub_wt='*1.1'
+    if 'sub_syst' in add_name and 'Down' in add_name: sub_wt='*0.9'
+
+
+    wp = options.wp
+    # Select data from anti-isolated region
+    if options.channel != "tt":
+        if options.channel == 'mt':
+            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
+              anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
+            else: 
+              anti_isolated_sel = '(iso_1<0.15 && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
+        elif options.channel == 'et': 
+            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
+              anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
+            else: 
+              anti_isolated_sel = '(iso_1<0.1  && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
+        ff_cat = cats[cat_name] +" && "+ anti_isolated_sel
+        ff_cat_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel
+        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
+          if ff_syst_weight is not None and 'sub_syst' not in add_name: fake_factor_wt_string = '('+ff_syst_weight+'_1)'
+          else:
+            if options.analysis in ['cpprod']: 
+              fake_factor_wt_string = "wt_ff_us_1"
+              fake_factor_wt_string = "wt_ff_dmbins_1"
+            elif options.analysis in ['mssmrun2','vlq']:
+              #if options.w_ff_closure or options.qcd_ff_closure:
+                #json_name = 'scripts/ff_strings.json'
+                #with open(json_name) as json_file:
+                  #ff_dict = json.load(json_file)
+              if options.w_ff_closure:
+                fake_factor_wt_string = "wt_ff_mssm_wjets_1"
+                if options.ml_ff: fake_factor_wt_string = "wt_ff_reweight_wjets_dr_1"
+                #fake_factor_wt_string = RawFFFromString(ff_dict[options.channel][options.year]['wjets'])
+                #fake_factor_wt_string = ff_dict[options.channel][options.year]['wjets']
+              elif options.qcd_ff_closure:
+                fake_factor_wt_string = "wt_ff_mssm_qcd_1"
+                if options.ml_ff: fake_factor_wt_string = "wt_ff_reweight_qcd_raw_1"
+                #fake_factor_wt_string = ff_dict[channel][year]['qcd']
+              else:
+                fake_factor_wt_string = "wt_ff_mssm_1"
+                if options.ml_ff: fake_factor_wt_string = "((wt_ff_reweight_qcd_1*ff_frac_mssm_qcd) + (wt_ff_reweight_wjets_1*ff_frac_mssm_wjets) + (wt_ff_reweight_ttbar_1*ff_frac_mssm_ttbar))"
+
+
+            else: fake_factor_wt_string = "wt_ff_1"
+        else:
+          if ff_syst_weight is not None: fake_factor_wt_string = ff_syst_weight
+          else: fake_factor_wt_string = "wt_ff_"+options.cat
+          fake_factor_wt_string+='*wt_tau_id_loose'
+        if wt is not "": wt+="*"+fake_factor_wt_string
+        else: wt=fake_factor_wt_string
+
+
+        full_selection = BuildCutString(wt, sel, ff_cat_data, OSSS, '')
+        # Calculate FF for anti-isolated data (f1) then subtract contributions from real taus (f2)
+        f1 = ana.SummedFactory('data', data, plot_unmodified, full_selection)
+
+
+        if (not options.w_ff_closure and not options.qcd_ff_closure) or options.ml_ff:
+          f2 = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel+'&&(gen_match_2<6)',ff_cat,ff_cat_data,8,1.0,get_os,True)
+        elif options.qcd_ff_closure and not options.ml_ff:
+          f2 = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel,ff_cat,ff_cat_data,8,1,get_os,True)
+        elif options.w_ff_closure and not options.ml_ff:
+          f2 = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel,ff_cat,ff_cat_data,8,1,get_os,False)
+          full_selection_ss = BuildCutString(wt, sel, ff_cat_data, '!os', '')
+          qcd_node =  SubtractNode('qcd', ana.SummedFactory('data', data, plot_unmodified, full_selection_ss), GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel,ff_cat,ff_cat_data,12,1.0,False,True))
+          f2.AddNode(qcd_node)
+        ana.nodes[nodename].AddNode(SubtractNode('jetFakes'+add_name, f1, f2))
+
+
+    if options.channel == 'tt':
+        anti_isolated_sel_1 = '(mva_olddm_medium_1<0.5 && mva_olddm_vloose_1>0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
+        anti_isolated_sel_2 = '(mva_olddm_medium_2<0.5 && mva_olddm_vloose_2>0.5 && mva_olddm_medium_1>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
+        if options.era == "mssmsummer16": 
+          anti_isolated_sel_1 +=" && trg_doubletau"
+          anti_isolated_sel_2 +=" && trg_doubletau"
+        if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"mvadm2016"]:
+          anti_isolated_sel_1 = cats['baseline'].replace('mva_olddm_tight_1>0.5','mva_olddm_tight_1<0.5 && mva_olddm_vloose_1>0.5')
+          anti_isolated_sel_2 = cats['baseline'].replace('mva_olddm_tight_2>0.5','mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5')
+        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP','22']: # need to do also for MVA cats for 2016!
+          anti_isolated_sel_2 = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
+          anti_isolated_sel_1 = cats['baseline'].replace('deepTauVsJets_%(wp)s_1>0.5' % vars(),'deepTauVsJets_%(wp)s_1<0.5 && deepTauVsJets_vvvloose_1>0.5' % vars())
+        ff_cat_1 = cats[cat_name] +" && "+ anti_isolated_sel_1
+        ff_cat_2 = cats[cat_name] +" && "+ anti_isolated_sel_2
+        ff_cat_1_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel_1
+        ff_cat_2_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel_2
+        if ff_syst_weight is not None and 'sub_syst' not in add_name: 
+            fake_factor_wt_string_1 = '('+ff_syst_weight+'_1)'
+            fake_factor_wt_string_2 = ff_syst_weight+'_2'
+
+
+#wt_ff_dmbins_qcd_syst_down
+            if options.analysis in ['cpprod'] and 'ff_tt_qcd_syst' in add_name:
+              flat = 1.04
+              if (options.era=='cpsummer17' or options.era == 'UL_17'): flat=1.07
+              if (options.era=='cp18'or options.era == 'UL_18'): flat=1.06
+              if (options.era=='22'): flat=1.06
+
+
+              if 'njets0' in add_name:
+                if 'Up' in add_name:
+                  ff_syst_weight = '((n_jets==0)*wt_ff_dmbins_qcd_syst_down_1*%(flat)s + (n_jets>0)*wt_ff_dmbins_1)' % vars()
+                if 'Down' in add_name:
+                  ff_syst_weight = '((n_jets==0)*(2*wt_ff_dmbins_1-wt_ff_dmbins_qcd_syst_down_1*%(flat)s) + (n_jets>0)*wt_ff_dmbins_1)' % vars()
+              elif 'njets1' in add_name:
+                if 'Up' in add_name:
+                  ff_syst_weight = '((n_jets==0)*wt_ff_dmbins_1 + (n_jets>0)*wt_ff_dmbins_qcd_syst_down_1*%(flat)s)' % vars()
+                if 'Down' in add_name:
+                  ff_syst_weight = '((n_jets==0)*wt_ff_dmbins_1 + (n_jets>0)*(2*wt_ff_dmbins_1-wt_ff_dmbins_qcd_syst_down_1*%(flat)s))' % vars()
+
+
+              fake_factor_wt_string_1 = ff_syst_weight
+
+
+
+
+            if options.analysis in ['cpdecay'] and 'ff_tt_qcd_syst' in add_name:
+              if(options.era=='22'):
+                if 'njets0' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0))*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0))*wt_ff_1' 
+                elif 'njets1' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1' 
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+                else: 
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1'     
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+                                  
+              if(options.era=='cp18' or options.era == 'UL_18'):
+                if 'njets0' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0))*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0))*wt_ff_1' 
+                elif 'njets1' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1' 
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+                else: 
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1'     
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+
+
+              if (options.era=='cpsummer17' or options.era == 'UL_17'):
+                if 'njets0' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.40415-0.101317*dR)/1.07 + (n_jets>0))*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.40415-0.101317*dR)*1.07 + (n_jets>0))*wt_ff_1'
+                elif 'njets1' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.16253-0.031154*dR)/1.07)*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.16253-0.031154*dR)*1.07)*wt_ff_1'
+                else:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.40415-0.101317*dR)/1.07 + (n_jets>0)*(1.16253-0.031154*dR)/1.07)*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.40415-0.101317*dR)*1.07 + (n_jets>0)/(1.16253-0.031154*dR)*1.07)*wt_ff_1'
+
+
+              if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
+                if 'njets0' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.22618-0.0546679*dR)/1.04 + (n_jets>0))*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.22618-0.0546679*dR)*1.04 + (n_jets>0))*wt_ff_1'
+                elif 'njets1' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.09292-0.0200048*dR)/1.04)*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.09292-0.0200048*dR)*1.04)*wt_ff_1'
+                else:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.22618-0.0546679*dR)/1.04 + (n_jets>0)*(1.09292-0.0200048*dR)/1.04)*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.22618-0.0546679*dR)*1.04 + (n_jets>0)/(1.09292-0.0200048*dR)*1.04)*wt_ff_1'
+              fake_factor_wt_string_1 = ff_syst_weight
+
+
+            if options.analysis in ['cpprod','cpdecay','mssmrun2','vlq']:
+              fake_factor_wt_string_2='0'
+        else:
+          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
+            # deep tau tight 2018 anti isolating the subleading tau
+            if options.analysis == 'cpprod':
+              fake_factor_wt_string_2='0'
+              fake_factor_wt_string_1 = "wt_ff_dmbins_1"
+            elif options.analysis == 'cpdecay':
+              fake_factor_wt_string_2='0'
+              fake_factor_wt_string_1 = "wt_ff_1"
+            elif options.analysis in ['mssmrun2','vlq']:
+              fake_factor_wt_string_2='0'
+              if options.wp == 'medium':
+                fake_factor_wt_string_1 = "wt_ff_mssm_1"
+                #fake_factor_wt_string_1 = "wt_ff_mssm_qcd_syst_down_1" # change back afterwards!!!!
+                if options.ml_ff:
+                  fake_factor_wt_string_1 = "0.5*wt_ff_reweight_qcd_1*((os==0) + (wt_ff_reweight_qcd_dr_to_ar_1*(os==1)))"
+                  fake_factor_wt_string_2 = "0.5*wt_ff_reweight_qcd_2*((os==0) + (wt_ff_reweight_qcd_dr_to_ar_2*(os==1)))"
+              elif options.wp == 'tight':
+                fake_factor_wt_string_1 = "wt_ff_mssm_tight_1"
+                #fake_factor_wt_string_1 = '((n_prebjets==0 && jet_pt_1<1.25*pt_1)*((pt_1<200)*(15.4087*TMath::Landau(min(pt_1,199.),-15.7496,4.82075)+0.0870211) + (pt_1>=200)*0.27557) + (n_prebjets==0 && jet_pt_1>=1.25*pt_1&&jet_pt_1<1.5*pt_1)*((pt_1<200)*(-411615*TMath::Landau(min(pt_1,199.),-110.218,-14.0548)+0.084284) + (pt_1>=200)*0.28273) + (n_prebjets==0 &&jet_pt_1>=1.5*pt_1)*(0.0392299) + (n_prebjets>0&&jet_pt_1<1.25*pt_1)*((pt_1<200)*(11.7652*TMath::Landau(min(pt_1,199.),-12.9921,5.06968)+0.077124) + (pt_1>=200)*0.13219) + (n_prebjets>0&&jet_pt_1>=1.25*pt_1&&jet_pt_1<1.5*pt_1)*((pt_1<200)*(144.787*TMath::Landau(min(pt_1,199.),14.249,0.467844)+0.0529324) + (pt_1>=200)*0.07516) + (n_prebjets>0&&jet_pt_1>=1.5*pt_1)*(-51.0159*TMath::Landau(min(pt_1,199.),-142.619,-346.505)+0.0294523))*((n_deepbjets==0)*((0.950911+-0.05705*min(dR,5.)+0.0159116*pow(min(dR,5.),2)+0.00199494*pow(min(dR,5.),3))) + (n_deepbjets>0)*((2.53701+-2.23664*min(dR,5.)+0.87535*pow(min(dR,5.),2)+-0.101159*pow(min(dR,5.),3))))'
+
+
+          else:    
+            fake_factor_wt_string_1 = "wt_ff_"+options.cat+"_1"
+            fake_factor_wt_string_2 = "wt_ff_"+options.cat+"_2"
+            fake_factor_wt_string_1+='*wt_tau1_id_loose'
+            fake_factor_wt_string_2+='*wt_tau2_id_loose'
+        if wt is not "": 
+            wt_1=wt+"*"+fake_factor_wt_string_1
+            wt_2=wt+"*"+fake_factor_wt_string_2
+        else: 
+            wt_1=fake_factor_wt_string_1
+            wt_2=fake_factor_wt_string_2
+        
+        if options.analysis == 'cpdecay' and get_os:
+          if (options.era=='cp18' or options.era == 'UL_18'):
+            fake_factor_wt_string_1+='*wt_ff_qcd_syst_down_1/wt_ff_1*((n_jets==0)*(1.24845-0.0578994*dR) + (n_jets>0)*(1.15364-0.0317013*dR))'  
+          if (options.era=='cpsummer17' or options.era == 'UL_17'):
+            fake_factor_wt_string_1+='*wt_ff_qcd_syst_down_1/wt_ff_1*((n_jets==0)*(1.40415-0.101317*dR) + (n_jets>0)*(1.16253-0.031154*dR))'
+          if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
+            fake_factor_wt_string_1+='*wt_ff_qcd_syst_down_1/wt_ff_1*((n_jets==0)*(1.22618-0.0546679*dR) + (n_jets>0)*(1.09292-0.0200048*dR))'
+          #fake_factor_wt_string_1='wt_ff_test_lead_1'
+          if wt is not "":
+              wt_1=wt+"*"+fake_factor_wt_string_1
+          else:
+              wt_1=fake_factor_wt_string_1
+        full_selection_1 = BuildCutString(wt_1, sel, ff_cat_1_data, OSSS, '')
+        full_selection_2 = BuildCutString(wt_2, sel, ff_cat_2_data, OSSS, '')
+     
+        if options.ff_ss_closure:
+          # usual OS FF
+
+
+
+
+          ff_total_node = SummedNode('jetFakes_pre'+add_name)
+          f1_total_node = SummedNode('data')
+          f1_total_node.AddNode(ana.SummedFactory('data_1', data, plot_unmodified, full_selection_1))
+          f1_total_node.AddNode(ana.SummedFactory('data_2', data, plot_unmodified, full_selection_2))
+          f2_total_node = SummedNode('total_bkg')
+          f2_total_node.AddNode(GetSubtractNode(ana,'_1',plot,plot_unmodified,wt_1+sub_wt,sel+'*(gen_match_1<6)',ff_cat_1,ff_cat_1_data,8,1.0,get_os,True))
+          f2_total_node.AddNode(GetSubtractNode(ana,'_2',plot,plot_unmodified,wt_2+sub_wt,sel+'*(gen_match_2<6)',ff_cat_2,ff_cat_2_data,8,1.0,get_os,True))
+
+
+          #ana.nodes[nodename].AddNode(SubtractNode('jetFakes_pre'+add_name, f1_total_node, f2_total_node))
+
+
+          # FF for SS data
+          full_selection_1_ss = BuildCutString(wt_1, sel, ff_cat_1_data, '!os', '')
+          full_selection_2_ss = BuildCutString(wt_2, sel, ff_cat_2_data, '!os', '')
+          ff_total_node_ss = SummedNode('jetFakes_ss'+add_name)
+          f1_total_node_ss = SummedNode('data_ss')
+          f1_total_node_ss.AddNode(ana.SummedFactory('data_1_ss', data, plot_unmodified, full_selection_1_ss))
+          f1_total_node_ss.AddNode(ana.SummedFactory('data_2_ss', data, plot_unmodified, full_selection_2_ss))
+          f2_total_node_ss = SummedNode('total_bkg_ss')
+          f2_total_node_ss.AddNode(GetSubtractNode(ana,'_1_ss',plot,plot_unmodified,wt_1+sub_wt,sel+'*(gen_match_1<6)',ff_cat_1,ff_cat_1_data,8,1.0,False,True))
+          f2_total_node_ss.AddNode(GetSubtractNode(ana,'_2_ss',plot,plot_unmodified,wt_2+sub_wt,sel+'*(gen_match_2<6)',ff_cat_2,ff_cat_2_data,8,1.0,False,True))
+          den_node = SubtractNode('jetFakes_ss'+add_name, f1_total_node_ss, f2_total_node_ss)
+
+
+          # SS data - bkg
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel+'*(gen_match_1<6 && gen_match_2<6)',cats[cat_name]+'&&'+cats['baseline'],cats_unmodified[cat_name]+'&&'+cats['baseline'],8,1.0,False,True)
+          num_selection = BuildCutString(wt, sel, cats_unmodified[cat_name]+'&&'+cats['baseline'], '!os')
+          num_node = SubtractNode('ratio_num',
+                     ana.SummedFactory('data', data, plot_unmodified, num_selection),
+                     subtract_node)
+
+
+          ana.nodes[nodename].AddNode(HttQCDNode('jetFakes'+add_name,
+          f1_total_node,
+          f2_total_node,
+          1,
+          None,
+          num_node,
+          den_node))
+        else: 
+          ff_total_node = SummedNode('jetFakes'+add_name)
+          f1_total_node = SummedNode('data')
+          f1_total_node.AddNode(ana.SummedFactory('data_1', data, plot_unmodified, full_selection_1))
+          if options.ml_ff: f1_total_node.AddNode(ana.SummedFactory('data_2', data, plot_unmodified, full_selection_2))
+          f2_total_node = SummedNode('total_bkg')
+          f2_total_node.AddNode(GetSubtractNode(ana,'_1',plot,plot_unmodified,wt_1+sub_wt,sel+'*(gen_match_1<6)',ff_cat_1,ff_cat_1_data,8,1.0,get_os,True))
+          if options.ml_ff: f2_total_node.AddNode(GetSubtractNode(ana,'_2',plot,plot_unmodified,wt_2+sub_wt,sel+'*(gen_match_2<6)',ff_cat_2,ff_cat_2_data,8,1.0,get_os,True))
+          ana.nodes[nodename].AddNode(SubtractNode('jetFakes'+add_name, f1_total_node, f2_total_node))
+
+
+
+
+        if options.channel=='tt':
+          #if options.analysis == 'cpprod': full_selection_extra = BuildCutString(wt+'*wt_ff_us_2', sel+'*(gen_match_2==6)', ff_cat_2_data, OSSS, '')
+          #else: full_selection_extra = BuildCutString(wt+'*wt_ff_2', sel+'*(gen_match_2==6)', ff_cat_2_data, OSSS, '')
+
+
+          full_selection_extra = BuildCutString(wt, sel, cats_unmodified[cat_name]+'&&'+cats['baseline'], OSSS, 'gen_match_2==6')       
+  
+
+
+          #wnode = ana.SummedFactory('Wfakes'+add_name, ztt_samples+vv_samples+wjets_samples+ewkz_samples+top_samples, plot, full_selection_extra)
+#          ana.nodes[nodename].AddNode(wnode) 
+        
+def GenerateSMSignal(ana, add_name='', plot='', masses=['125'], wt='', sel='', cat='', get_os=True, sm_bkg = '',processes=['ggH','qqH','ZH','WminusH','WplusH']):
+    if get_os:
+        OSSS = 'os'
+    else:
+        OSSS = '!os'
+    if masses is not None:
+        for mass in masses:  
+            if sm_bkg != '':
+                add_str = '_SM'+sm_bkg
+            else:
+                add_str = mass
+            for key in sm_samples:
+                if 'ggH' in key: 
+                  full_selection = BuildCutString(wt+'*wt_ph_nnlops', sel, cat, OSSS)
+                else: full_selection = BuildCutString(wt, sel, cat, OSSS)
+                if True not in [proc in key for proc in processes]: continue
+                sample_names=[]
+                if isinstance(sm_samples[key], (list,)):
+                  for i in sm_samples[key]: 
+                    sample_names.append(i.replace('*',mass))
+                else: sample_names = [sm_samples[key].replace('*',mass)]
+                ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',add_str)+add_name, sample_names, plot, full_selection))
+            
+def GenerateMSSMSignal(ana, add_name='', bbh_add_name='', plot='', ggh_masses = ['1000'], bbh_masses = ['1000'], wt='', sel='', cat='', get_os=True, do_ggH=True, do_bbH=True):
+    if get_os:
+        OSSS = 'os'
+    else:
+        OSSS = '!os'
+    if options.gen_signal: OSSS='1'
+    full_selection = BuildCutString(wt, sel, cat, OSSS)
+    for key in mssm_samples:
+        masses = None
+        if key == 'ggH':
+            masses = ggh_masses
+        elif key == 'bbH':
+            masses = bbh_masses
+        if masses is not None:    
+            for mass in masses:
+                if key == 'ggH' and not do_ggH:
+                    continue
+                if key == 'bbH' and not do_bbH:
+                    continue
+                sample_name = mssm_samples[key].replace('*',mass)
+                add_name_2 = ''
+                if bbh_add_name == '-LO' and key is 'bbH': 
+                    sample_name = mssm_lo_samples['bbH-LO'].replace('*',mass)
+                    add_name_2 = bbh_add_name
+                ana.nodes[nodename].AddNode(ana.BasicFactory(key+add_name_2+mass+add_name, sample_name, plot, full_selection))
+
+
+# for CP signals
+# need to multiply by the weights wt_cp_sm/ps/mm
+def GenerateReweightedCPSignal(ana, add_name='', plot='', wt='', sel='', cat='', get_os=True):
+    weights = {"sm": "wt_cp_sm*wt_ph_nnlops", "ps": "wt_cp_ps*wt_ph_nnlops", "mm": "wt_cp_mm*wt_ph_nnlops", "flat": "wt_ph_nnlops"}
+    if get_os: 
+        OSSS = 'os'
+    else: 
+        OSSS = '!os'
+    if options.gen_signal: 
+        OSSS='1' 
+    for key, sample in sm_samples.iteritems():
+        non_cp = True 
+        for name in weights:
+            if key.split("_")[1] == name:
+                non_cp=False
+                weight=wt+"*"+weights[name]
+                full_selection = BuildCutString(weight, sel, cat, OSSS)
+                name = key
+
+
+                sample_names=[]
+                if isinstance(sm_samples[key], (list,)):
+                  for i in sm_samples[key]:
+                    sample_names.append(i.replace('*',mass))
+                else: sample_names = [sm_samples[key].replace('*',mass)]
+                ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',mass)+add_name, sample_names, plot, full_selection))
+                #ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample, plot, full_selection))
+        if non_cp:
+             full_selection = BuildCutString(wt, sel, cat, OSSS)
+             name = key
+             #ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample, plot, full_selection))
+
+
+             sample_names=[]
+             if isinstance(sm_samples[key], (list,)):
+               for i in sm_samples[key]:
+                 sample_names.append(i.replace('*',mass))
+             else: sample_names = [sm_samples[key].replace('*',mass)]
+             ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',mass)+add_name, sample_names, plot, full_selection))
+
+
+def GenerateReweightedCPProdSignal(ana, add_name='', plot='', wt='', sel='', cat='', get_os=True):
+    weights = {"sm": "wt_cp_prod_sm", "ps": "wt_cp_prod_ps", "mm": "wt_cp_prod_mm"}
+    if get_os:
+        OSSS = 'os'
+    else:
+        OSSS = '!os'
+    if options.gen_signal:
+        OSSS='1'
+    for key, sample in sm_samples.iteritems():
+        non_cp = True
+        if 'ggH_sm' in key or 'ggH_ps' in key or 'ggH_mm' in key: non_cp=False
+        if not non_cp:
+          for name in weights: 
+            tname = key.replace('*',mass)+add_name
+            if 'ggH_'+name not in tname: 
+              tname=key.replace('*',mass)+'_reweightedto_'+name+add_name
+              #continue
+              weight=wt+"*"+weights[name]+'*wt_quarkmass*wt_mg_nnlops'
+            else:
+              weight=wt+'*wt_quarkmass*wt_mg_nnlops*(wt_cp_prod_sm!=0)'
+            non_cp=False
+            #weight=wt+"*"+weights[name]+'*wt_quarkmass*wt_mg_nnlops'
+            full_selection = BuildCutString(weight, sel, cat, OSSS)
+            name = key
+
+
+            sample_names=[]
+            if isinstance(sm_samples[key], (list,)):
+              for i in sm_samples[key]:
+                sample_names.append(i.replace('*',mass))
+            else: sample_names = [sm_samples[key].replace('*',mass)]
+            ana.nodes[nodename].AddNode(ana.SummedFactory(tname, sample_names, plot, full_selection))
+        if non_cp:
+             name = key
+             weight=wt
+             if 'ggh' in name.lower():
+               if 'reweighted_' in name: weight+='*wt_quarkmass*wt_mg_nnlops'
+               else: weight+='*wt_ph_nnlops'
+             full_selection = BuildCutString(weight, sel, cat, OSSS)
+             sample_names=[]
+             if isinstance(sm_samples[key], (list,)):
+               for i in sm_samples[key]:
+                 sample_names.append(i.replace('*',mass))
+             else: sample_names = [sm_samples[key].replace('*',mass)]
+             ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',mass)+add_name, sample_names, plot, full_selection))
+
+
+
+
+def GenerateReWeightedMSSMSignal(ana, add_name='', plot='', ggh_masses = ['1000'], wt='', sel='', cat='', get_os=True):
+  weights = {'ggh_t_':'wt_ggh_t', 'ggh_b_':'wt_ggh_b', 'ggh_i_':'wt_ggh_i', 'ggH_t_':'wt_ggH_t', 'ggH_b_':'wt_ggH_b', 'ggH_i_':'wt_ggH_i', 'ggA_t_':'wt_ggA_t', 'ggA_b_':'wt_ggA_b', 'ggA_i_':'wt_ggA_i' }  
+  #weights = {'ggH_t_':'wt_ggH_t', 'ggH_b_':'wt_ggH_b', 'ggH_i_':'wt_ggH_i', 'ggA_t_':'wt_ggA_t', 'ggA_b_':'wt_ggA_b', 'ggA_i_':'wt_ggA_i' } 
+  if get_os: OSSS = 'os'
+  else: OSSS = '!os'
+  if options.gen_signal: OSSS='1' 
+  for mass in ggh_masses:
+    if int(mass) == 95:
+      full_selection = BuildCutString(wt, sel, cat, OSSS)
+      sample_name = mssm_samples['ggH'].replace('*',mass)
+      name = 'ggH'
+      ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample_name, plot, full_selection))
+    for name in weights:
+      weight=wt+"*"+weights[name]    
+      full_selection = BuildCutString(weight, sel, cat, OSSS)
+      sample_name = mssm_samples['ggH'].replace('*',mass)
+      ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample_name, plot, full_selection))
+      if options.syst_mssm_ggh and add_name=='':
+        for u in ['_scale', '_hdamp']:
+          weight_up=wt+"*"+weights[name].replace('ggH','ggh')+u+'_up'
+          weight_down=wt+"*"+weights[name].replace('ggH','ggh')+u+'_down'
+          full_selection_up = BuildCutString(weight_up, sel, cat, OSSS)
+          full_selection_down = BuildCutString(weight_down, sel, cat, OSSS)
+          if 'scale' in u:
+            syst_name_up='_QCDscale_ggH_REWEIGHTUp'
+            syst_name_down='_QCDscale_ggH_REWEIGHTDown'
+          else:
+            syst_name_up = '_Hdamp_%sREWEIGHTUp' % (name.replace('ggA','ggH').replace('ggh','ggH'))
+            syst_name_down = '_Hdamp_%sREWEIGHTDown' % (name.replace('ggA','ggH').replace('ggh','ggH'))
+          sample_name = mssm_samples['ggH'].replace('*',mass)
+          ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name+syst_name_up, sample_name, plot, full_selection_up))      
+          ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name+syst_name_down, sample_name, plot, full_selection_down))      
+          
+def GenerateNLOMSSMSignal(ana, add_name='', plot='', ggh_nlo_masses = ['1000'], bbh_nlo_masses = ['1000'],wt='wt', sel='', cat='', doScales=True, doPDF=False, get_os=True,do_ggH=True, do_bbH=True):
+    if get_os:
+        OSSS = 'os'
+    else:
+        OSSS = '!os'
+    if options.gen_signal: OSSS='1'
+    weights = {'':'1'}
+    wt_noscale = wt
+    if doScales: weights = {'':'1','muR1muF2':'wt_mur1_muf2','muR1muF0.5':'wt_mur1_muf0p5','muR2muF1':'wt_mur2_muf1','muR2muF2':'wt_mur2_muf2','muR0.5muF1':'wt_mur0p5_muf1','muR0.5muF0.5':'wt_mur0p5_muf0p5'}
+    if doPDF:
+      for i in range(1,101): weights['PDF_'+str(i)] = 'wt_pdf_'+str(i)
+      weights['AlphaS_Up'] = 'wt_alphasup'
+      weights['AlphaS_Down'] = 'wt_alphasdown'
+    for weight in weights:
+      wt = weights[weight]+'*'+wt_noscale  
+      full_selection = BuildCutString(wt, sel, cat, OSSS)
+      for key in mssm_nlo_samples:
+          if 'Qsh' in key and weight is not '': continue
+          if 'ggH' in key:
+              masses = ggh_nlo_masses
+          elif 'bbH' in key:
+              masses = bbh_nlo_masses
+          if masses is not None:    
+              for mass in masses:
+                  if key == 'ggH' and not do_ggH:
+                      continue
+                  if key == 'bbH' and not do_bbH:
+                      continue
+                  sample_name = mssm_nlo_samples[key].replace('*',mass)
+                  ana.nodes[nodename].AddNode(ana.BasicFactory(key+mass+add_name+weight, sample_name, plot, full_selection))
+        
+        
+def GenerateHhhSignal(ana, add_name='', plot='', masses = ['700'], wt='', sel='', cat='', get_os=True):
+    if get_os:
+        OSSS = 'os'
+    else:
+        OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS)
+    if masses is not None:
+        for mass in masses:
+            for key in Hhh_samples:
+                sample_name = Hhh_samples[key].replace('*',mass)
+                ana.nodes[nodename].AddNode(ana.BasicFactory(key+mass+add_name, sample_name, plot, full_selection))
+
+
+def GenerateVLQSignal(ana, add_name='', plot='', vlq_sig= [] ,wt='', sel='', cat='', get_os=True):
+    if get_os:
+        OSSS = 'os'
+    else:
+        OSSS = '!os'
+    full_selection = BuildCutString(wt, sel, cat, OSSS)
+    for key in vlq_samples:
+      if key in vlq_sig:
+        if isinstance(vlq_samples[key], (list,)):
+          sample_names = []
+          for i in vlq_samples[key]:
+            sample_names.append(i)
+        else: sample_names = [vlq_samples[key]]
+        ana.nodes[nodename].AddNode(ana.SummedFactory(key+add_name, sample_names, plot, full_selection))
+
+
+ 
+def PrintSummary(nodename='', data_strings=['data_obs'], add_names=''):
+    print ''
+    print '################### Summary ###################'
+    nodes = ana.nodes[nodename].SubNodes()
+    bkg_total = ufloat(0.000000001,0.000000001)
+    sig_total = ufloat(0.000000001,0.000000001)
+    for node in nodes:
+        if options.channel == 'em' and node.name == 'W': continue
+        if node.shape.rate.n == 0: per_err = 0
+        else: per_err = node.shape.rate.s/node.shape.rate.n
+        print node.name.ljust(10) , ("%.2f" % node.shape.rate.n).ljust(10), '+/-'.ljust(5), ("%.2f" % node.shape.rate.s).ljust(7), "(%.4f)" % per_err 
+        if True in [node.name.find(add_name) != -1 and add_name is not '' for add_name in add_names]: continue
+        if len(signal_samples) != 0: sig_samp_cond = [node.name.find(sig) != -1 for sig in signal_samples.keys()]
+        else: sig_samp_cond = []
+        if True in sig_samp_cond and node.name.find("_SM"+options.add_sm_background) ==-1:
+            sig_total += node.shape.rate
+        elif node.name not in data_strings or (options.method == 18 and 'jetFakes' == node.name):
+            bkg_total += node.shape.rate      
+    if bkg_total.n == 0: per_err = 0        
+    else: per_err = bkg_total.s/bkg_total.n
+    print 'Total bkg'.ljust(10) , ("%.2f" % bkg_total.n).ljust(10), '+/-'.ljust(5), ("%.2f" % bkg_total.s).ljust(7), "(%.4f)" % per_err
+    if sig_total.n == 0: per_err = 0
+    else: per_err = sig_total.s/sig_total.n
+    print 'Total sig'.ljust(10) , ("%.2f" % sig_total.n).ljust(10), '+/-'.ljust(5), ("%.2f" % sig_total.s).ljust(7), "(%.4f)" % per_err
+    print '###############################################'
+    print ''
+    
+
+
+def FixBins(ana,outfile='output.root'):
+    #Fix empty histograms
+    nodes = ana.nodes[nodename].SubNodes()
+    for node in nodes:
+        if 'data_obs' in node.name: continue
+        hist = outfile.Get(nodename+'/'+node.name)
+        outfile.cd(nodename)
+        #Fix empty histogram
+        if hist.Integral() == 0.0:
+            hist.SetBinContent(hist.GetNbinsX()/2, 0.00001)
+            hist.SetBinError(hist.GetNbinsX()/2, 0.00001)
+            hist.Write(hist.GetName(),ROOT.TObject.kWriteDelete)
+        outfile.cd()
+
+
+                                                                                                                                
+def NormFFSysts(ana,outfile='output.root'):
+    nominal_hist = outfile.Get(nodename+'/jetFakes')
+    if isinstance(nominal_hist,ROOT.TH2): nominal_scale = nominal_hist.Integral(-1,-1,-1,-1)
+    else: nominal_scale = nominal_hist.Integral(0,nominal_hist.GetNbinsX()+2)
+    directory = outfile.Get(nodename)
+    outfile.cd(nodename)
+    hists_to_add=[]
+    for key in directory.GetListOfKeys():
+        hist_name = key.GetName()
+        hist = directory.Get(hist_name).Clone()
+        if not isinstance(hist,ROOT.TDirectory):
+           if 'jetFakes' not in hist_name: continue
+           if hist_name == 'jetFakes': continue
+           if isinstance(hist,ROOT.TH2): norm = nominal_scale/hist.Integral(-1,-1,-1,-1)
+           else: norm = nominal_scale/hist.Integral(0,hist.GetNbinsX()+2)
+           hist.Scale(norm)
+           norm_hist_name = hist_name
+           norm_hist_name = norm_hist_name.replace('jetFakes','jetFakes_norm')
+           hist.SetName(norm_hist_name)
+           hists_to_add.append(hist)
+    for hist in hists_to_add: hist.Write()
+    
+def NormWFakeSysts(ana,outfile='output.root'):
+    nominal_hist = outfile.Get(nodename+'/W')
+    if isinstance(nominal_hist,ROOT.TH2): nominal_scale = nominal_hist.Integral(-1,-1,-1,-1)
+    else: nominal_scale = nominal_hist.Integral(-1,-1)
+    directory = outfile.Get(nodename)
+    outfile.cd(nodename)
+    hists_to_add=[]
+    for key in directory.GetListOfKeys():
+        hist_name = key.GetName()
+        hist = directory.Get(hist_name)
+        if not isinstance(hist,ROOT.TDirectory):
+           if 'W' not in hist_name or options.syst_w_fake_rate not in hist_name or 'Wplus' in hist_name or 'Wminus' in hist_name or 'WH' in hist_name: continue
+           if isinstance(hist,ROOT.TH2): norm = nominal_scale/hist.Integral(-1,-1,-1,-1)
+           else: norm = nominal_scale/hist.Integral(-1,-1)
+           hist.Scale(norm)
+           hists_to_add.append(hist)
+    for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
+
+
+def NormEmbedToMC(ana,outfile='output.root'):
+    nominal_hist = outfile.Get(nodename+'/ZTT')
+    nominal_hist_embed = outfile.Get(nodename+'/EmbedZTT')
+    if isinstance(nominal_hist,ROOT.TH2): scale = nominal_hist.Integral(-1,-1,-1,-1)/nominal_hist_embed.Integral(-1,-1,-1,-1)
+    else: scale = nominal_hist.Integral(-1,-1)/nominal_hist_embed.Integral(-1,-1)
+    directory = outfile.Get(nodename)
+    outfile.cd(nodename)
+    hists_to_add=[]
+    for key in directory.GetListOfKeys():
+        hist_name = key.GetName()
+        hist = directory.Get(hist_name)
+        if not isinstance(hist,ROOT.TDirectory):
+           if 'EmbedZTT' not in hist_name: continue
+           hist.Scale(scale)
+           hists_to_add.append(hist)
+    for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
+
+
+    
+def TTBarEmbeddingSyst(ana,outfile,template_name):
+    nominal_hist = outfile.Get(nodename+'/EmbedZTT')    
+    shift_hist = outfile.Get(nodename+'/TTT_embed_syst')
+    shift_hist_2 = outfile.Get(nodename+'/VVT_embed_syst')
+    shift_hist.Add(shift_hist_2)
+    shift_hist.Scale(0.1)
+    up_hist = nominal_hist.Clone()
+    down_hist = nominal_hist.Clone()
+    up_hist.Add(shift_hist)
+    down_hist.Add(shift_hist,-1)
+    up_hist.SetName('EmbedZTT_'+template_name+'Up')
+    down_hist.SetName('EmbedZTT_'+template_name+'Down')
+    outfile.cd(nodename)
+    up_hist.Write()
+    down_hist.Write()
+    
+def OverwriteNames(input_string,replace_dict={}):
+    for i in replace_dict:
+      input_string=input_string.replace(i,replace_dict[i])
+    return input_string
+    
+def PDFUncerts(nodename, infile):
+  def RMS(a):
+    from numpy import mean, sqrt, square  
+    rms = sqrt(mean(square(a-mean(a))))
+    return rms
+  outstring1=''
+  outstring2=''
+  
+  for mass in bbh_nlo_masses:
+    nominal_error=ROOT.Double()
+    nominal = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,nominal_error)
+    sample_name='SUSYGluGluToBBHToTauTau_M-'+mass+'-NLO'
+    evt_nom = ana.info[sample_name]['evt']
+    pdf_variations_nosf=[]
+    pdf_variations=[]
+    pdf_variations_nosf.append(nominal)
+    pdf_variations.append(nominal)
+    for i in range(1,101):
+      wt = 'wt_pdf_'+str(i)
+      name = 'PDF_'+str(i)
+      val = outfile.Get(nodename+'/bbH'+mass+name).Integral(-1, -1)
+      pdf_variations_nosf.append(val)
+      evt_var = ana.info[sample_name]['evt_'+wt]
+      sf = evt_nom/evt_var
+      pdf_variations.append(val*sf)
+    pdf_uncert_nosf=RMS(pdf_variations_nosf)/nominal*100
+    pdf_uncert=RMS(pdf_variations)/nominal*100
+    #print pdf_uncert_nosf, pdf_uncert
+    
+    outstring1+=mass+','
+    outstring2+=str(pdf_uncert)+','
+    
+    nominal_error=ROOT.Double()
+    nominal = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,nominal_error)
+    alphas_down_error_nosf=ROOT.Double()
+    alphas_down_nosf = outfile.Get(nodename+'/bbH'+mass+'AlphaS_Down').IntegralAndError(-1, -1,alphas_down_error_nosf)
+    alphas_up_error_nosf=ROOT.Double()
+    alphas_up_nosf = outfile.Get(nodename+'/bbH'+mass+'AlphaS_Up').IntegralAndError(-1, -1,alphas_up_error_nosf)
+    evt_var = ana.info[sample_name]['evt_wt_alphasdown']
+    sf = evt_nom/evt_var
+    alphas_down=alphas_down_nosf*sf
+    alphas_down_error=alphas_down_error_nosf*sf
+    evt_var = ana.info[sample_name]['evt_wt_alphasup']
+    sf = evt_nom/evt_var
+    alphas_up=alphas_up_nosf*sf
+    alphas_up_error=alphas_up_error_nosf*sf
+    
+    alphas_uncert = (alphas_up-alphas_down)/2/nominal
+    alphas_uncert_error = math.sqrt(alphas_down_error**2+alphas_up_error**2)/(alphas_up-alphas_down)*alphas_uncert
+    #(alphas_up_nosf-alphas_down_nosf)/2/nominal
+    #print alphas_uncert*100, '\\% $\\pm$', alphas_uncert_error*100,'\\%'
+  print outstring1
+  print outstring2
+
+
+def DONLOUncerts(nodename,infile):
+    def LargestDiff(nominal,scales_shifted):
+        largest_diff=0
+        value = nominal
+        for i in scales_shifted:
+            diff = abs(scales_shifted[i] - nominal)
+            if diff > largest_diff: 
+              largest_diff = diff
+              value = scales_shifted[i]
+        return value
+    if not options.bbh_nlo_masses: return
+    outstring='%'+options.channel+' '+options.datacard+'\n'
+    if options.nlo_qsh: outstring+='\\begin{table}[H]\n\\centering\n\\resizebox{\\textwidth}{!}{\n\\begin{tabular}{ |c|c|c| }\n\\hline\nSignal Mass (GeV) & Qsh Uncertainty &  Qsh Uncertainty (*)'
+    else: outstring+='\\begin{table}[H]\n\\centering\n\\resizebox{\\textwidth}{!}{\n\\begin{tabular}{ |c|c|c| }\n\\hline\nSignal Mass (GeV) & Scale Uncertainty &  Scale Uncertainty (*)'
+    outstring += '\\\\\n\\hline\n'
+    #outstring2='{'
+    #outstring3='{'
+    #outstring4='{'
+    for mass in bbh_nlo_masses:
+      nominal_error=ROOT.Double()
+      nominal = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,nominal_error) 
+      samples = {'bbH*':'', 'bbH*muR0.5muF0.5':'wt_mur0p5_muf0p5', 'bbH*muR1muF0.5':'wt_mur1_muf0p5', 'bbH*muR0.5muF1':'wt_mur0p5_muf1', 'bbH*muR2muF2':'wt_mur2_muf2', 'bbH*muR2muF1':'wt_mur2_muf1', 'bbH*muR1muF2':'wt_mur1_muf2'} 
+      qsh_down_error=ROOT.Double()
+      qsh_up_error=ROOT.Double()
+      if options.nlo_qsh:
+        qsh_down = outfile.Get(nodename+'/bbH-QshDown'+mass).IntegralAndError(-1, -1,qsh_down_error) 
+        qsh_up = outfile.Get(nodename+'/bbH-QshUp'+mass).IntegralAndError(-1, -1,qsh_up_error)
+        qsh_uncert_1=(max(nominal,qsh_down,qsh_up) - min(nominal,qsh_down,qsh_up))/2
+        up_error = nominal_error 
+        down_error = nominal_error
+        if max(nominal,qsh_down,qsh_up) is qsh_up: up_error = qsh_up_error
+        if max(nominal,qsh_down,qsh_up) is qsh_down: up_error = qsh_down_error
+        if min(nominal,qsh_down,qsh_up) is qsh_up: down_error = qsh_up_error
+        if min(nominal,qsh_down,qsh_up) is qsh_down: down_error = qsh_down_error
+        qsh_error_1 = math.sqrt(up_error**2 + down_error**2)
+        qsh_uncert_2 = (qsh_up - qsh_down)/2
+        qsh_error_2 = math.sqrt(qsh_up_error**2 + qsh_down_error**2)
+      scale_max = nominal
+      scale_min = nominal
+      scale_nosf_max = nominal
+      scale_nosf_min = nominal
+      up_dic = {}
+      down_dic = {}
+      for samp in samples:
+        acceptance_error = ROOT.Double()  
+        acceptance = outfile.Get(nodename+'/'+samp.replace('*',mass)).IntegralAndError(-1, -1,acceptance_error)
+        if samp is 'bbH*': sf = 1.0 
+        else: 
+          sample_name='SUSYGluGluToBBHToTauTau_M-'+mass+'-NLO'
+          evt_nom = ana.info[sample_name]['evt']
+          evt_var = ana.info[sample_name]['evt_'+samples[samp]]
+          sf = evt_nom/evt_var
+        acceptance_nosf = acceptance
+        acceptance*=sf
+        #if samples[samp] in ['wt_mur0p5_muf0p5', 'wt_mur1_muf0p5', 'wt_mur0p5_muf1']: down_dic[samples[samp]] = acceptance
+        #if samples[samp] in ['wt_mur2_muf2','wt_mur2_muf1','wt_mur1_muf2']: up_dic[samples[samp]] = acceptance
+        if samples[samp] in ['wt_mur0p5_muf0p5']: 
+            down_dic[samples[samp]] = [acceptance,acceptance_error]
+        if samples[samp] in ['wt_mur2_muf2']: up_dic[samples[samp]] = [acceptance,acceptance_error]
+        if acceptance > scale_max: 
+            scale_max = acceptance
+            up_error = acceptance_error
+        if acceptance < scale_min:
+            scale_min = acceptance
+            down_error = acceptance_error
+        if acceptance_nosf > scale_nosf_max: scale_nosf_max = acceptance_nosf
+        if acceptance_nosf < scale_nosf_min: scale_nosf_min = acceptance_nosf
+      #up_nom = LargestDiff(nominal,up_dic)
+      #down_nom = LargestDiff(nominal,down_dic)
+      up_nom = up_dic['wt_mur2_muf2'][0]
+      down_nom = down_dic['wt_mur0p5_muf0p5'][0]
+      uncert = (scale_max-scale_min)/2
+      uncert_error = math.sqrt(up_error**2+down_error**2)/(scale_max-scale_min)*uncert
+      uncert_nosf = (scale_nosf_max-scale_nosf_min)/2
+      uncert_alt_method = (up_nom-down_nom)/2
+      uncert_alt_error = math.sqrt(up_dic['wt_mur2_muf2'][1]**2 + down_dic['wt_mur0p5_muf0p5'][1]**2)/(up_nom-down_nom) *uncert_alt_method
+      pythia_error=ROOT.Double()
+      pythia_yield = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,pythia_error) 
+      outstring +=mass#+ ' & '+ str(round(pythia_yield,1))+' $\pm$ '+str(round(pythia_error,1))+ ' & '+ str(round(nominal,1))+' $\pm$ '+str(round(nominal_error,1))+ '('+str(round((pythia_yield-nominal)*100/pythia_yield,2))+' \%)' + ' & '+ str(round(uncert_nosf/nominal,2)) + ' & '+ str(round(uncert/nominal,2))+ ' & '+ str(round(uncert_alt_method/nominal,2))
+      if options.nlo_qsh: 
+        outstring+=' & '+ str(round(100*qsh_uncert_1/nominal,1))+' $\pm$ '+str(round(100*qsh_error_1/nominal,1))+' & '+ str(round(100*qsh_uncert_2/nominal,1))+' $\pm$ '+str(round(100*qsh_error_2/nominal,1))+'\\\\\n'  
+      else:
+        outstring+=' & '+ str(round(100*uncert/nominal,1))+'\\% $\\pm$ '+ str(round(100*uncert_error/nominal,1)) +'\\% & '+ str(round(100*uncert_alt_method/nominal,1))+'\\% $\\pm$ '+str(round(100*uncert_alt_error/nominal,1)) +'\\% \\\\\n'
+      #outstring2 +=str(round(100*uncert/nominal,1))+','
+      #outstring3 +=str(round(100*uncert_error/nominal,1))+','
+      #outstring4+=mass+','
+    outstring+='\\hline\n\\end{tabular}}\n\\end{table}'
+    print outstring
+    #print outstring2
+    #print outstring3
+    #print outstring4
+    
+def ScaleUncertBand(nodename='',outfile='output.root',NormScales=True):
+    hist_names=['bbH*muR0.5muF0.5','bbH*muR1muF0.5','bbH*muR0.5muF1','bbH*muR2muF1','bbH*muR1muF2','bbH*muR2muF2']
+    mass = '100'
+    if options.draw_signal_mass: mass = options.draw_signal_mass
+    hists=[]
+    for hist_name in hist_names:
+        sf = 1.0
+        if NormScales:
+            sample_name='SUSYGluGluToBBHToTauTau_M-'+mass+'-NLO'
+            evt_nom = ana.info[sample_name]['evt']
+            evt_var = ana.info[sample_name]['evt_'+hist_name.replace('bbH*','wt_').replace('muF','_muf').replace('muR','mur').replace('0.5','0p5')]
+            sf = evt_nom/evt_var
+        hist_name=hist_name.replace('*',mass)
+        hist = outfile.Get(nodename+'/'+hist_name).Clone()
+        if NormScales: hist.Scale(sf)
+        hists.append(hist)
+    nom_hist = outfile.Get(nodename+'/bbH'+mass)
+    up_hist = nom_hist.Clone()
+    down_hist = nom_hist.Clone()
+    up_hist.SetName('ScaleUp')
+    down_hist.SetName('ScaleDown')
+    for i in range (1,nom_hist.GetNbinsX()+2):
+        for hist in hists:
+          max_content = up_hist.GetBinContent(i)
+          min_content = down_hist.GetBinContent(i)
+          content = hist.GetBinContent(i)
+          if content > max_content: up_hist.SetBinContent(i,content)
+          if content < min_content: down_hist.SetBinContent(i,content)
+    outfile.cd(nodename)
+    up_hist.Write()
+    down_hist.Write()
+    outfile.cd()
+        
+    
+def DYUncertBand(outfile='output.root',ScaleToData=True):
+    bkg_hist = outfile.Get(nodename+'/total_bkg')
+    nominal_hist = outfile.Get(nodename+'/ZLL')
+    up_hist = outfile.Get(nodename+'/total_bkg').Clone()
+    down_hist = outfile.Get(nodename+'/total_bkg').Clone()
+    up_hist.SetName('total_bkg_up')
+    down_hist.SetName('total_bkg_down')
+    shifts=['_ES', '_TT', '_Stat0', '_Stat40', '_Stat80']
+    for i in range(1,nominal_hist.GetNbinsX()+2):
+      nom_content = nominal_hist.GetBinContent(i)
+      bkg_content = bkg_hist.GetBinContent(i)
+      uncert=0
+      for shift in shifts:
+          shift_hist_up = outfile.Get(nodename+'/ZLL'+shift+'Up')
+          shift_hist_down = outfile.Get(nodename+'/ZLL'+shift+'Down')
+          up = abs(shift_hist_up.GetBinContent(i) - nom_content)
+          down = abs(shift_hist_down.GetBinContent(i) - nom_content)
+          uncert=math.sqrt(max([up,down])**2+uncert**2)
+      up_hist.SetBinContent(i, bkg_content+uncert)
+      down_hist.SetBinContent(i, bkg_content-uncert)
+    outfile.cd(nodename)
+    up_hist.Write()
+    down_hist.Write()
+    outfile.cd()
+    if ScaleToData:
+      data_hist=outfile.Get(nodename+'/data_obs')
+      data_total=data_hist.Integral(-1,-1)
+      bkg_total=bkg_hist.Integral(-1,-1)
+      data_hist.Scale(bkg_total/data_total)
+      outfile.cd(nodename)
+      data_hist.Write()
+      outfile.cd()
+    
+def GetTotals(ana,add_name="",outfile='outfile.root'):
+    # add histograms to get totals for backgrounds split into real/fake taus and make a total backgrounds histogram
+    outfile.cd(nodename)
+    nodes = ana.nodes[nodename].SubNodes()
+    nodenames=[]
+    for node in nodes: nodenames.append(node.name)
+   # for i in ['TT', 'VV', 'Z']:
+   #     j = 'T'
+   #     outname = i+add_name
+   #     first_hist=True
+   #     if options.channel == 'em' and i is 'Z':
+   #         if first_hist and 'ZLL'+add_name in nodenames: 
+   #             sum_hist = ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone()
+   #             first_hist=False
+   #         elif 'ZLL'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone())
+   #         if first_hist and'ZTT'+add_name in nodenames: 
+   #             sum_hist = ana.nodes[nodename].nodes['ZTT'+add_name].shape.hist.Clone()
+   #             first_hist=False
+   #         elif 'ZTT'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes['ZTT'+add_name].shape.hist.Clone())
+   #         if not first_hist:
+   #             sum_hist.SetName(outname)
+   #             sum_hist.Write()
+   #     elif (options.channel == 'zee' or options.channel == 'zmm') and i is 'Z':
+   #         if first_hist and 'ZLL'+add_name in nodenames:
+   #             sum_hist = ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone()
+   #             first_hist=False
+   #         elif 'ZLL'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone())
+   #         if not first_hist:
+   #             sum_hist.SetName(outname)
+   #             sum_hist.Write()
+   #     else: 
+   #         if i is 'Z':
+   #             outname = 'ZLL'+add_name
+   #             j = 'L'
+   #         if i+'J' or i+j in [node.name for node in nodes]:
+   #             if first_hist and i+'J'+add_name in nodenames: 
+   #                 sum_hist = ana.nodes[nodename].nodes[i+'J'+add_name].shape.hist.Clone()
+   #                 first_hist=False
+   #             elif i+'J'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes[i+'J'+add_name].shape.hist.Clone())
+   #             if first_hist and i+j+add_name in nodenames:
+   #                 sum_hist = ana.nodes[nodename].nodes[i+j+add_name].shape.hist.Clone()    
+   #                 first_hist=False
+   #             elif i+j+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes[i+j+add_name].shape.hist.Clone())
+   #         if not first_hist:    
+   #             sum_hist.SetName(outname)
+   #             sum_hist.Write()
+    first_hist=True
+    for node in nodes:
+        if len(signal_samples) != 0: sig_samp_cond = [node.name.find(sig) != -1 for sig in signal_samples.keys()]
+        else: sig_samp_cond = []
+        if True not in sig_samp_cond and node.name != 'data_obs' and node.name.find("_SM"+options.add_sm_background) ==-1 and not node.name.endswith('Up') and not node.name.endswith('Down'):
+            if options.embedding and node.name.startswith('ZTT'): continue
+            if 'embed_syst' in node.name: continue
+            if options.method == 18 and 'jetFakes' == node.name: continue
+            if options.channel == 'em' and node.name == 'W': continue
+            if add_name not in node.name: continue
+            if first_hist:
+                total_bkg = ana.nodes[nodename].nodes[node.name].shape.hist.Clone()
+                first_hist=False
+            else: total_bkg.Add(ana.nodes[nodename].nodes[node.name].shape.hist.Clone())
+    if not first_hist:        
+        total_bkg.SetName('total_bkg'+add_name)
+        total_bkg.Write()
+    outfile.cd()
+     
+    #hist = outfile.Get(nodename+'/total_bkg')
+    #qcd_hist = outfile.Get(nodename+'/QCD')
+    #ztt_hist = outfile.Get(nodename+'/ZTT')
+    #tot_sub = total_bkg.Integral(-1,-1) - qcd_hist.Integral(-1,-1) - ztt_hist.Integral(-1,-1)
+    #out_str=''
+    #hist_names = ['TT','VV','W','ZLL','EmbedZTT']
+    #for name in hist_names:
+    #  hist = outfile.Get(nodename+'/'+name)
+    #  frac = hist.Integral(-1,-1)/tot_sub
+    #  out_str+='%s = %.2f, ' % (name, frac)
+    #print out_str
+
+
+    
+def CompareShapes(compare_w_shapes, compare_qcd_shapes):
+    if compare_w_shapes:
+      nominal_hist = outfile.Get(nodename+'/W')
+      nominal_scale = nominal_hist.Integral(0,nominal_hist.GetNbinsX()+2)
+      directory = outfile.Get(nodename)
+      outfile.cd(nodename)
+      shape_hist = outfile.Get(nodename+'/W_shape')
+      shape_scale = shape_hist.Integral(0,shape_hist.GetNbinsX()+2)
+      shape_hist.Scale(nominal_scale/shape_scale)
+      shape_hist.Write()
+    if compare_qcd_shapes:
+      nominal_hist = outfile.Get(nodename+'/QCD')
+      nominal_scale = nominal_hist.Integral()
+      directory = outfile.Get(nodename)
+      outfile.cd(nodename)
+      shape_hist = outfile.Get(nodename+'/QCD_shape')
+      shape_scale = shape_hist.Integral()
+      shape_hist.Scale(nominal_scale/shape_scale)
+      shape_hist.Write()
+      
+def AppendNameToSamples(samples=[],name_to_add=None):
+  if name_to_add is None or name_to_add is '': return samples
+  elif type(samples) is dict:
+    new_samples = {}  
+    for key in samples: new_samples[key] = samples[key]+name_to_add
+    return new_samples  
+  else:
+    new_samples = []
+    for sample in samples: new_samples.append(sample+name_to_add)    
+    return new_samples
+    
+def RunPlotting(ana, cat='',cat_data='', sel='', add_name='', wt='wt', do_data=True, samples_to_skip=[], outfile='output.root',ff_syst_weight=None):
+    doTTJ = 'TTJ' not in samples_to_skip
+    doTTT = 'TTT' not in samples_to_skip
+    doVVJ = 'VVJ' not in samples_to_skip
+    doVVT = 'VVT' not in samples_to_skip
+    doZL  = 'ZL'  not in samples_to_skip
+    doZJ  = 'ZJ'  not in samples_to_skip
+    
+    zll_samples=list(ztt_samples)
+    if options.analysis in ['cpdecay','cpprod','mssmrun2','vlq']: zll_samples+=ewkz_samples
+
+
+    # produce template for observed data
+    if do_data:
+        if options.do_ss:
+          OSSS = '!os'
+        else:
+            OSSS = 'os'
+        weight='wt'
+        if options.add_wt : weight+='*'+options.add_wt
+        full_selection = BuildCutString(weight, sel, cat_data, OSSS)
+        ana.nodes[nodename].AddNode(ana.SummedFactory('data_obs', data_samples, plot_unmodified, full_selection))
+    
+    # produce templates for backgrounds
+    if options.method in [17] and options.channel != "em":
+        doVVJ=False
+        doTTJ=False
+
+
+        if 'jetFakes' not in samples_to_skip:
+            GenerateFakeTaus(ana, add_name, data_samples, plot, plot_unmodified, wt, sel, options.cat,not options.do_ss,ff_syst_weight)
+            #if options.channel == 'tt':
+        
+        # use existing methods to calculate background due to non-fake taus
+        add_fake_factor_selection = "gen_match_2<6"
+        if options.channel == "tt": add_fake_factor_selection = "gen_match_1<6 && gen_match_2<6"
+        residual_cat=cat+"&&"+add_fake_factor_selection
+        if 'EmbedZTT' not in samples_to_skip and options.embedding:
+           GenerateEmbedded(ana, add_name, embed_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)  
+            #if do_data: GenerateZTT(ana, add_name, ztt_samples+top_samples+vv_samples+ewkz_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)
+        #if 'ZTT' not in samples_to_skip and not options.embedding:
+        if 'ZTT' not in samples_to_skip:
+            GenerateZTT(ana, add_name, ztt_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)
+        if 'ZLL' not in samples_to_skip:
+            GenerateZLL(ana, add_name, zll_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss,doZL,False)
+        if 'TT' not in samples_to_skip:    
+            GenerateTop(ana, add_name, top_samples, plot, wt, sel, residual_cat, top_sels, not options.do_ss, doTTT, doTTJ)  
+        if 'VV' not in samples_to_skip:
+            GenerateVV(ana, add_name, vv_samples, plot, wt, sel, residual_cat, vv_sels, not options.do_ss, doVVT, doVVJ)  
+        #if 'EWKZ' not in samples_to_skip and options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'tauid2016','cpsummer17','tauid2017','cp18','mvadm2016']: 
+            #GenerateEWKZ(ana, add_name, ewkz_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)
+        #if 'ggH_hww' not in samples_to_skip and 'qqH_hww' not in samples_to_skip and options.analysis == 'cpprod':
+        #  GenerateHWW(ana, add_name, gghww_samples, qqhww_samples, plot, wt, sel, cat, not options.do_ss, True, True)
+        if 'W' not in samples_to_skip and options.channel=='tt' and options.analysis in ['cpprod','cpdecay','mssmrun2','vlq'] and 'VV' not in samples_to_skip and 'ZTT' not in samples_to_skip and not options.ml_ff:
+            GenerateW(ana, 'fakes'+add_name, ztt_samples+vv_samples+wjets_samples+ewkz_samples+top_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel+'&&gen_match_1!=6&&gen_match_2==6', cat, cat_data, 8, qcd_os_ss_ratio, not options.do_ss)
+        if options.channel in ['mt','et']:
+          # need to add back the other fake components when testing the FF validations
+          if options.w_ff_closure and not options.ml_ff:
+            if 'ZLL' not in samples_to_skip:
+                GenerateZLL(ana, add_name+'_res', ztt_samples, plot, wt, sel, cat, z_sels, not options.do_ss,False,True)
+            if 'TT' not in samples_to_skip:
+                GenerateTop(ana, add_name+'_res', top_samples, plot, wt, sel, cat, top_sels, not options.do_ss, False, True)
+            if 'VV' not in samples_to_skip:
+                GenerateVV(ana, add_name+'_res', vv_samples, plot, wt, sel, cat, vv_sels, not options.do_ss, False, True)
+            if 'QCD' not in samples_to_skip:
+                GenerateQCD(ana, add_name+'_res', data_samples, plot, plot_unmodified, wt, sel, cat, cat_data, 12, 1.1, not options.do_ss,wshift)
+          if options.qcd_ff_closure and not options.ml_ff:
+            if 'ZLL' not in samples_to_skip:
+                GenerateZLL(ana, add_name+'_res', ztt_samples, plot, wt, sel, cat, z_sels, not options.do_ss,False,True)
+            if 'TT' not in samples_to_skip:
+                GenerateTop(ana, add_name+'_res', top_samples, plot, wt, sel, cat, top_sels, not options.do_ss, False, True)
+            if 'VV' not in samples_to_skip:
+                GenerateVV(ana, add_name+'_res', vv_samples, plot, wt, sel, cat, vv_sels, not options.do_ss, False, True)
+            if 'W' not in samples_to_skip:
+                GenerateW(ana, add_name+'_res', wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel, cat, cat_data, 8, qcd_os_ss_ratio, not options.do_ss)
+
+
+    else:
+        method = options.method
+        if options.method == 18:
+
+
+            if 'jetFakes' not in samples_to_skip:
+                GenerateFakeTaus(ana, add_name, data_samples, plot, plot_unmodified, wt, sel, options.cat,not options.do_ss,ff_syst_weight)
+            if options.channel == 'tt': method = 8
+            elif options.cat == "btag_loosemt" or options.cat == "btag_tight": method = 16
+            elif options.channel == 'et' or options.channel == 'mt': method = 12
+        if 'EmbedZTT' not in samples_to_skip and options.embedding and options.channel != 'zmm' and options.channel != 'zee':    
+            GenerateEmbedded(ana, add_name, embed_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
+            if options.cat in ['pass','fail']:
+              cat_pass = '('+cats['pass']+')*('+cats['baseline']+')'  
+              cat_fail = '('+cats['fail']+')*('+cats['baseline']+')'
+              GenerateEmbedded(ana, '_pass'+add_name, embed_samples, plot, wt, sel, cat_pass, z_sels, not options.do_ss)
+              GenerateEmbedded(ana, '_fail'+add_name, embed_samples, plot, wt, sel, cat_fail, z_sels, not options.do_ss)
+        if 'ZTT' not in samples_to_skip and not options.embedding:
+          GenerateZTT(ana, add_name, ztt_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
+        if 'ZTT' not in samples_to_skip and options.embedding and 'VV' not in samples_to_skip and 'TT' not in samples_to_skip:
+          GenerateZTT(ana, add_name, ztt_samples+top_samples+vv_samples+ewkz_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
+        if 'ZLL' not in samples_to_skip:
+            GenerateZLL(ana, add_name, zll_samples, plot, wt, sel, cat, z_sels, not options.do_ss,doZL,doZJ)
+        if options.embedding and options.channel in ['zmm','zee'] and 'EmbedZLL' not in samples_to_skip: GenerateZLEmbedded(ana, add_name, embed_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
+        if 'TT' not in samples_to_skip:    
+            GenerateTop(ana, add_name, top_samples, plot, wt, sel, cat, top_sels, not options.do_ss, doTTT, doTTJ) 
+            if 'mvadm' in options.cat:
+              cat_mvarho = '('+cats['mvadm_rho']+')*('+cats['baseline']+')'
+              cat_mvaa1 = '('+cats['mvadm_a1']+')*('+cats['baseline']+')'
+              cat_mvapi = '('+cats['mvadm_pi']+')*('+cats['baseline']+')'
+              cat_mvanotrho = '('+cats['mvadm_notrho']+')*('+cats['baseline']+')'
+              GenerateTop(ana, '_mvarho'+add_name, top_samples, plot, wt, sel, cat_mvarho, top_sels, not options.do_ss, doTTT, False)
+              GenerateTop(ana, '_mvaa1'+add_name, top_samples, plot, wt, sel, cat_mvaa1, top_sels, not options.do_ss, doTTT, False)
+              GenerateTop(ana, '_mvapi'+add_name, top_samples, plot, wt, sel, cat_mvapi, top_sels, not options.do_ss, doTTT, False)
+              GenerateTop(ana, '_mvanotrho'+add_name, top_samples, plot, wt, sel, cat_mvanotrho, top_sels, not options.do_ss, doTTT, False)             
+        if 'VV' not in samples_to_skip:
+            GenerateVV(ana, add_name, vv_samples, plot, wt, sel, cat, vv_sels, not options.do_ss, doVVT, doVVJ) 
+            if 'mvadm' in options.cat:
+              cat_mvarho = '('+cats['mvadm_rho']+')*('+cats['baseline']+')'
+              cat_mvaa1 = '('+cats['mvadm_a1']+')*('+cats['baseline']+')'
+              cat_mvapi = '('+cats['mvadm_pi']+')*('+cats['baseline']+')'
+              cat_mvanotrho = '('+cats['mvadm_notrho']+')*('+cats['baseline']+')'
+              GenerateVV(ana, '_mvarho'+add_name, vv_samples, plot, wt, sel, cat_mvarho, vv_sels, not options.do_ss, doVVT, False)
+              GenerateVV(ana, '_mvaa1'+add_name, vv_samples, plot, wt, sel, cat_mvaa1, vv_sels, not options.do_ss, doVVT, False)
+              GenerateVV(ana, '_mvapi'+add_name, vv_samples, plot, wt, sel, cat_mvapi, vv_sels, not options.do_ss, doVVT, False)
+              GenerateVV(ana, '_mvanotrho'+add_name, vv_samples, plot, wt, sel, cat_mvanotrho, vv_sels, not options.do_ss, doVVT, False) 
+        if 'W' not in samples_to_skip:
+            sel_mod=sel
+            if options.method==0 and True in ['baseline_aisotau1' in x for x in options.set_alias] and options.channel=='tt': sel_mod =sel+'&&(gen_match_1==6)'
+            if options.method==0 and  True in ['baseline_aisotau2' in x for x in options.set_alias] and options.channel=='tt': sel_mod =sel+'&&(gen_match_2==6)'
+            GenerateW(ana, add_name, wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel_mod, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss)
+        if 'QCD' not in samples_to_skip:
+            GenerateQCD(ana, add_name, data_samples, plot, plot_unmodified, wt, sel, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss,wshift)
+        #if 'EWKZ' not in samples_to_skip and options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'tauid2016','cpsummer17','tauid2017','cp18','mvadm2016'] and options.method!=0: 
+        #    GenerateEWKZ(ana, add_name, ewkz_samples, plot, wt, sel, cat, z_sels, not options.do_ss) 
+        #if 'ggH_hww' not in samples_to_skip and 'qqH_hww' not in samples_to_skip and options.analysis in ['cpprod','mssmrun2'] and options.channel == 'em':
+        #  GenerateHWW(ana, add_name, gghww_samples, qqhww_samples, plot, wt, sel, cat, not options.do_ss, True, True)    
+        if options.method==0 and options.channel=='tt':
+            sel_mod = sel
+            if True in ['baseline_aisotau1' in x for x in options.set_alias]: sel_mod =sel+'&&(gen_match_1!=6)'
+            if True in ['baseline_aisotau2' in x for x in options.set_alias]: sel_mod =sel+'&&(gen_match_2!=6)' 
+            GenerateW(ana, add_name+'_realextra', wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel_mod, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss)
+        # used to plot em QCD uncerts
+        #GenerateQCD(ana, '_shapeup', data_samples, plot, plot_unmodified, wt+'*wt_em_qcd_shapeup', sel, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss,wshift)
+        #GenerateQCD(ana, '_shapedown', data_samples, plot, plot_unmodified, wt+'*wt_em_qcd_shapedown', sel, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss,wshift)
+  
+        if compare_w_shapes:
+          cat_relax=cats['w_shape_comp']
+          GenerateW(ana, '_shape', wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel, cat_relax, cats_unmodified['w_shape_comp'], 8, qcd_os_ss_ratio, not options.do_ss)    
+        if compare_qcd_shapes:
+          if options.channel == 'em':
+            GenerateQCD(ana, '_shape', data_samples, plot, plot_unmodified, wt, sel, cat, cat_data, 19, qcd_os_ss_ratio, not options.do_ss,wshift)
+          else:
+            cat_relax=cats['qcd_shape_comp']
+            GenerateQCD(ana, '_shape', data_samples, plot, plot_unmodified, wt, sel, cat_relax,cats_unmodified['qcd_shape_comp'], method, qcd_os_ss_ratio, not options.do_ss)
+           
+    if 'signal' not in samples_to_skip:
+        if options.analysis in ['sm','cpprod','cpdecay']:
+            procs=[]
+            for proc in sm_samples:
+                if True not in [samp in proc for samp in samples_to_skip]: procs.append(proc)   
+            if options.analysis == 'cpdecay' and options.sm_masses!="": GenerateReweightedCPSignal(ana, add_name, plot, wt, sel, cat, not options.do_ss) 
+            elif options.analysis == 'cpprod' and options.sm_masses!="": GenerateReweightedCPProdSignal(ana, add_name, plot, wt, sel, cat, not options.do_ss) 
+            else: GenerateSMSignal(ana, add_name, plot, sm_masses, wt, sel, cat, not options.do_ss,processes=procs)
+        elif options.analysis in ['mssm','mssmrun2'] and (options.ggh_masses != "" or options.bbh_masses != "" or options.ggh_masses_powheg != "" or options.bbh_masses_powheg != "") :
+            bbh_add_name = ''
+            if options.bbh_nlo_masses and not options.bbh_masses_powheg: bbh_add_name = '-LO'
+            #GenerateMSSMSignal(ana, add_name, bbh_add_name, plot, ggh_masses, bbh_masses, wt, sel, cat, not options.do_ss)
+            GenerateMSSMSignal(ana, add_name, bbh_add_name, plot, [], bbh_masses, wt, sel, cat, not options.do_ss)
+            if options.add_sm_background:
+                GenerateSMSignal(ana, add_name, plot, ['125'],  wt, sel, cat, not options.do_ss, options.add_sm_background)  
+        elif options.analysis == 'Hhh':
+            GenerateHhhSignal(ana, add_name, plot, ggh_masses, wt, sel, cat, not options.do_ss)
+        elif options.analysis == 'vlq':
+            GenerateVLQSignal(ana, add_name, plot, options.vlq_sig, wt, sel, cat, not options.do_ss)
+        if options.analysis in ['mssm','mssmrun2'] and options.bbh_nlo_masses != "":
+            GenerateNLOMSSMSignal(ana, add_name, plot, [''], bbh_nlo_masses, wt, sel, cat, options.doNLOScales, options.doPDF, not options.do_ss)
+        if options.analysis in ['mssm','mssmrun2'] and options.doMSSMReWeighting:
+          GenerateReWeightedMSSMSignal(ana, add_name, plot, ggh_masses, wt, sel, cat, not options.do_ss) 
+          
+    if options.syst_embedding_tt and options.embedding and systematic == 'default':
+        GenerateTop(ana, '_embed_syst', top_samples, plot, wt, sel, cat, top_sels_embed, not options.do_ss, True, False)        
+        GenerateVV(ana, '_embed_syst', vv_samples, plot, wt, sel, cat, top_sels_embed, not options.do_ss, True, False)
+
+
+def Get1DBinNumFrom2D(h2d,xbin,ybin):
+    Nxbins = h2d.GetNbinsX()
+    return (ybin-1)*Nxbins + xbin -1
+
+
+def Get1DBinNumFrom3D(h3d,xbin,ybin,zbin):
+    Nxbins = h3d.GetNbinsX()
+    Nybins = h3d.GetNbinsY()
+    return (zbin-1)*Nxbins*Nybins + (ybin-1)*Nxbins + xbin -1
+
+
+def UnrollHist2D(h2d,inc_y_of=True):
+    # inc_y_of = True includes the y over-flow bins
+    if inc_y_of: n = 1
+    else: n = 0
+    Nbins = (h2d.GetNbinsY()+n)*(h2d.GetNbinsX())
+    h1d = ROOT.TH1D(h2d.GetName(), '', Nbins, 0, Nbins)
+    for i in range(1,h2d.GetNbinsX()+1):
+      for j in range(1,h2d.GetNbinsY()+1+n):
+        glob_bin = Get1DBinNumFrom2D(h2d,i,j)
+        content = h2d.GetBinContent(i,j)
+        error = h2d.GetBinError(i,j)
+        h1d.SetBinContent(glob_bin+1,content)
+        h1d.SetBinError(glob_bin+1,error)
+        #if 'sjdphi' in plot: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h2d.GetXaxis().GetBinLowEdge(i),h2d.GetXaxis().GetBinLowEdge(i+1)))
+        #else:
+        #  h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.0f-%.0f' % (h2d.GetXaxis().GetBinLowEdge(i),h2d.GetXaxis().GetBinLowEdge(i+1)))
+        #if 'sdphi' in options.var: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h2d.GetXaxis().GetBinLowEdge(i),h2d.GetXaxis().GetBinLowEdge(i+1)))
+    #h1d.LabelsOption('v','X')
+    return h1d
+
+
+def UnrollHist3D(h3d,inc_y_of=False,inc_z_of=True):
+    if inc_y_of: ny = 1
+    else: ny = 0
+    if inc_z_of: nz = 1
+    else: nz = 0
+    
+    Nbins = (h3d.GetNbinsZ()+nz)*(h3d.GetNbinsY()+ny)*(h3d.GetNbinsX())
+    h1d = ROOT.TH1D(h3d.GetName(), '', Nbins, 0, Nbins)
+    for i in range(1,h3d.GetNbinsX()+1):
+      for j in range(1,h3d.GetNbinsY()+1+ny):
+        for k in range(1,h3d.GetNbinsZ()+1+nz):    
+          glob_bin = Get1DBinNumFrom3D(h3d,i,j,k)
+          content = h3d.GetBinContent(i,j,k)
+          error = h3d.GetBinError(i,j,k)
+          h1d.SetBinContent(glob_bin+1,content)
+          h1d.SetBinError(glob_bin+1,error)
+          #if 'sjdphi' in plot: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h3d.GetXaxis().GetBinLowEdge(i),h3d.GetXaxis().GetBinLowEdge(i+1)))
+          #else:
+          #  h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.0f-%.0f' % (h3d.GetXaxis().GetBinLowEdge(i),h3d.GetXaxis().GetBinLowEdge(i+1)))
+         # if 'sdphi' in options.var: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h3d.GetXaxis().GetBinLowEdge(i),h3d.GetXaxis().GetBinLowEdge(i+1)))
+    #h1d.LabelsOption('v','X')
+    return h1d
+
+
+def NormSignals(outfile,add_name):
+    # When adding signal samples to the data-card we want to scale all XS to 1pb - correct XS times BR is then applied at combine harvestor level
+    samples_to_skip = add_names_dict[add_name] 
+    if 'signal' not in samples_to_skip:
+        outfile.cd(nodename)
+        if options.analysis in ['sm','cpprod','cpdecay'] or options.add_sm_background:
+            if options.analysis == "sm":
+                masses = sm_masses
+            else:
+                masses = [options.add_sm_background]
+            for samp in sm_samples:
+                if options.analysis == "sm":
+                    samp_name = samp
+                else:
+                    samp_name = samp+"_SM"
+                if masses is not None:    
+                    for mass in masses:        
+                        if isinstance(sm_samples[samp], (list,)): xs = ana.info[sm_samples[samp][0].replace('*',mass)]['xs']
+                        else: xs = ana.info[sm_samples[samp].replace('*',mass)]['xs']
+                        if xs == 1.: continue
+                        sf = 1.0/xs
+                        if not outfile.GetDirectory(nodename).GetListOfKeys().Contains(samp_name+mass+add_name): continue
+                        sm_hist = outfile.Get(nodename+'/'+samp_name+mass+add_name)
+                        sm_hist.Scale(sf)
+                        sm_hist.Write("",ROOT.TObject.kOverwrite)
+        if options.analysis in ["mssm",'mssmrun2']:
+            for samp in mssm_samples:
+                if samp == 'ggH':
+                    masses = ggh_masses
+                elif samp == 'bbH' and not options.bbh_nlo_masses:
+                    masses = bbh_masses
+                elif 'bbH' in samp:
+                    masses = bbh_nlo_masses
+                if masses is not None:    
+                    for mass in masses:
+                        xs = ana.info[mssm_samples[samp].replace('*',mass)]['xs']
+                        if xs == 1.: continue
+                        sf = 1.0/xs
+                        if sf == 1.0: continue
+                        mssm_hist = outfile.Get(nodename+'/'+samp+mass+add_name)
+                        mssm_hist.Scale(sf)
+                        mssm_hist.Write("",ROOT.TObject.kOverwrite)
+                        if options.doMSSMReWeighting and samp == 'ggH': 
+                          re_weighted_names = ['ggh_t_','ggh_b_','ggh_i_','ggH_t_','ggH_b_','ggH_i_','ggA_t_','ggA_b_','ggA_i_']
+                          #re_weighted_names = ['ggH_t_','ggH_b_','ggH_i_','ggA_t_','ggA_b_','ggA_i_']
+                          for name in re_weighted_names:
+                            mssm_hist = outfile.Get(nodename+'/'+name+mass+add_name)
+                            #mssm_hist = ana.nodes[nodename].nodes[name+mass+add_name].shape.hist
+                            mssm_hist.Scale(sf)
+                            mssm_hist.Write("",ROOT.TObject.kOverwrite)
+        if options.analysis == "Hhh":
+            for samp in Hhh_samples:
+                masses = ggh_masses
+                if masses is not None:
+                    for mass in masses:
+                        xs = ana.info[Hhh_samples[samp].replace('*',mass)]['xs']
+                        if xs == 1.: continue
+                        sf = 1.0/xs
+                        mssm_hist = outfile.Get(nodename+'/'+samp+mass+add_name)
+                        mssm_hist.Scale(sf)
+                        mssm_hist.Write("",ROOT.TObject.kOverwrite)
+        if options.analysis == "vlq":
+            for samp in vlq_samples:
+              xs = ana.info[vlq_samples[samp]]['xs']
+              if xs == 1.: continue
+              sf = 1.0/xs
+              vlq_hist = outfile.Get(nodename+'/'+samp+add_name)
+              vlq_hist.Scale(sf)
+              vlq_hist.Write("",ROOT.TObject.kOverwrite)
+        outfile.cd()
+
+
+def RenameMSSMrun2Datacards(outfile):
+  chan = options.channel
+  renames = {
+   'CMS_eff_trigger_' : 'CMS_eff_trigger_emb_',
+   'CMS_eff_xtrigger_l_' : 'CMS_eff_xtrigger_l_emb_',
+   'CMS_eff_xtrigger_t_': 'CMS_eff_xtrigger_t_emb_',
+   'CMS_eff_t_': 'CMS_eff_t_emb_',
+   'CMS_scale_e' : 'CMS_scale_e_emb',
+   'CMS_scale_t_' : 'CMS_scale_t_emb_',
+   'CMS_eff_trigger_single_t_':'CMS_eff_trigger_single_t_emb_',
+   'scale_embed_met_' : 'scale_embed_met_%s_' % chan,
+  }  
+  directory = outfile.Get(nodename)
+
+
+  # count number of directories
+  count = 0
+  print nodename
+  print directory
+  print outfile    
+  for key in directory.GetListOfKeys(): 
+     count += 1
+     print key
+
+  i = 0
+  for key in directory.GetListOfKeys():
+    if i < count:
+      name = key.GetName()
+      histo = directory.Get(name)
+      if not isinstance(histo,ROOT.TDirectory) and 'EmbedZTT' in name:
+        new_name = name.replace('EmbedZTT', 'EMB')
+        histo.SetName(new_name)
+        directory.cd()
+        #histo.Write(new_name,ROOT.TObject.kWriteDelete)
+        histo.Write(new_name)
+        directory.Delete(name+';1')
+        for x in renames:
+          if x in new_name:
+            histo_clone = histo.Clone()
+            y = renames[x]
+            new_name_2 = new_name.replace(x,y)
+            print new_name,new_name_2
+            histo_clone.SetName(new_name_2)
+            histo_clone.Write(new_name_2)
+            break
+      elif not isinstance(histo,ROOT.TDirectory) and 'VVT' in name and not 'VVT_for_ZTT' in name:
+        new_name = name.replace('VVT', 'VVL')
+        histo.SetName(new_name)
+        directory.cd()
+        histo.Write(new_name)
+        directory.Delete(name+';1')
+      elif not isinstance(histo,ROOT.TDirectory) and 'TTT' in name and not 'TTT_for_ZTT' in name:
+        new_name = name.replace('TTT', 'TTL')
+        histo.SetName(new_name)
+        directory.cd()
+        histo.Write(new_name)
+        directory.Delete(name+';1')
+      elif not isinstance(histo,ROOT.TDirectory) and 'for_ZTT' in name:
+        new_name = name.replace('_for_ZTT', '')
+        histo.SetName(new_name)
+        directory.cd()
+        histo.Write(new_name)
+        directory.Delete(name+';1')
+      elif not isinstance(histo,ROOT.TDirectory) and 'Wfakes' in name:
+        new_name = name.replace('Wfakes', 'wFakes')
+        histo.SetName(new_name)
+        directory.cd()
+        histo.Write(new_name)
+        directory.Delete(name+';1')
+      #elif not isinstance(histo,ROOT.TDirectory) and ('ggH_' in name or 'ggA_' in name) and name[:6].count('_') == 1:
+        #new_name = name[:5]+'_'+name[5:]
+        #histo.SetName(new_name)
+        #directory.cd()
+        #histo.Write(new_name)
+        #directory.Delete(name+';1')
+      elif not isinstance(histo,ROOT.TDirectory) and 'bbH' in name and name[:4].count('_') == 0:
+        new_name = name[:3]+'_'+name[3:]
+        histo.SetName(new_name)
+        directory.cd()
+        histo.Write(new_name)
+        directory.Delete(name+';1')
+      #elif isinstance(histo,ROOT.TDirectory):
+      #  directory.Delete(name+';1')
+      #elif not isinstance(histo,ROOT.TDirectory) and ('WplusH' in name or 'WminusH' in name):
+        #directory.Delete(name+';1')
+      elif not isinstance(histo,ROOT.TDirectory) and 'ggH' in name and name[:4].count('_') == 0 and 'ggH125_SM' not in name and 'ggH95' not in name:
+        directory.Delete(name+';1')
+      elif not isinstance(histo,ROOT.TDirectory) and 'ggH125_SM' in name :
+        new_name = name.replace('ggH125_SM', 'ggH125')
+        histo.SetName(new_name)
+        directory.cd()
+        histo.Write(new_name)
+        directory.Delete(name+';1')
+
+
+    i += 1
+
+
+
+
+
+
+def TotalUnc(h0, hists=[]):
+  #sum in quadrature several systematic uncertainties to form total uncertainty band
+  hout = h0.Clone()
+  hup = h0.Clone()
+  hdown = h0.Clone()
+  hout.SetName(h0.GetName()+'_uncerts_total')
+  hup.SetName(h0.GetName()+'_uncerts_total_up')
+  hdown.SetName(h0.GetName()+'_uncerts_total_down')
+  for i in range(1,h0.GetNbinsX()+2):
+    x0 = h0.GetBinContent(i)
+    uncerts_up = [0.]
+    uncerts_down = [0.]
+    for h in hists:
+      x = h.GetBinContent(i)
+      if x>x0: uncerts_up.append(x-x0)
+      if x<x0: uncerts_down.append(x0-x)
+    up = 0.
+    down = 0.
+    for u in uncerts_up: up+=u**2
+    for u in uncerts_down: down+=u**2
+    up = up**.5
+    down = down**.5
+
+
+    hup.SetBinContent(i,x0+up)
+    hdown.SetBinContent(i,x0-down)
+    c = (x0+up + x0-down)/2
+    u = (up+down)/2
+    hout.SetBinContent(i,c)
+    hout.SetBinError(i,u)
+  return (hout, hup, hdown)
+
+
+def RawFFFromString(string):
+  string = string[1:-1]
+  bracket_count = 0
+  new_string = ''
+  for i in string:
+    if i == '(': bracket_count += 1
+    elif i == ')': bracket_count -= 1
+    new_string += i
+    if bracket_count == 0: break
+  return new_string
+
+
+# Create output file
+is_2d=False
+is_3d=False
+var_name = options.var.split('[')[0]
+var_name = var_name.split('(')[0]
+var_name = var_name.replace('/','_over_')
+if var_name.count(',') == 1:
+    is_2d = True
+    var_name = var_name.split(',')[0]+'_vs_'+var_name.split(',')[1]
+if var_name.count(',') == 2:
+    is_3d = True
+    var_name = var_name.split(',')[0]+'_vs_'+var_name.split(',')[1]+'_vs_'+var_name.split(',')[2]    
+
+
+if options.datacard != "": datacard_name = options.datacard
+else: datacard_name = options.cat
+if options.extra_name != "": 
+#  output_name = options.outputfolder+'/datacard_'+options.extra_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
+  datacard_name+='_'+options.extra_name
+#else: 
+if options.do_ss:
+  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'_ss.root'
+  outfile = ROOT.TFile(output_name, 'RECREATE')
+else:
+  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
+  outfile = ROOT.TFile(output_name, 'RECREATE')
+    
+cats['cat'] = '('+cats[options.cat]+')*('+cats['baseline']+')'
+if options.channel=="em": cats['em_shape_cat'] = '('+cats[options.cat]+')*('+cats['loose_baseline']+')'
+sel = options.sel
+plot = options.var
+plot_unmodified = plot
+if options.datacard != "": nodename = options.channel+'_'+options.datacard
+else: nodename = options.channel+'_'+options.cat   
+
+
+add_names_dict = {}
+add_names = []
+cats_unmodified = copy.deepcopy(cats)
+
+
+syst_names = {}
+
+
+max_systs_per_pass = 30 # code uses too much memory if we try and process too many systematics at once so set the maximum number of systematics processed per loop here
+while len(systematics) > 0:
+  ana = Analysis()
+  #if options.syst_scale_j_by_source != '': ana.writeSubnodes(False) # storing subnodes uses too much memory when doing JES uncertainties split by source
+  
+  ana.remaps = {}
+  if options.channel == 'em':
+      ana.remaps['MuonEG'] = 'data_obs'
+  elif options.channel in ['mt','mj','zmm']:
+      ana.remaps['SingleMuon'] = 'data_obs'
+  elif (options.era != 'cp18' and options.era != 'UL_18') and (options.channel == 'et' or options.channel == 'zee'):
+      ana.remaps['SingleElectron'] = 'data_obs'
+  elif (options.era == 'cp18' or options.era == 'UL_18') and (options.channel == 'et' or options.channel == 'zee'):
+      ana.remaps['EGamma'] = 'data_obs'
+  elif options.channel == 'tt':
+      ana.remaps['Tau'] = 'data_obs'  
+      
+  ana.nodes.AddNode(ListNode(nodename))
+  print ana.remaps
+
+  prev_dir=None    
+  for index, systematic in enumerate(list(systematics.keys())[:max_systs_per_pass]):
+      syst_names[systematic] = systematics[systematic][1]
+      if prev_dir is not None and systematics[systematic][0] is not prev_dir: continue # this ensures that we process the same trees from every call to ana.Run() - i.e trees in sub-directory systematics[systematic][0]
+      prev_dir = systematics[systematic][0]
+      print "Processing:", systematic
+      print ""
+      print systematics[systematic][0]
+
+
+      plot = options.var
+      cats=copy.deepcopy(cats_unmodified)
+      wshift=1.0
+      if systematic == 'syst_qcd_shape_wsf_up' and w_abs_shift is not None: wshift+=w_abs_shift
+      if systematic == 'syst_qcd_shape_wsf_down' and w_abs_shift is not None: wshift-=w_abs_shift
+      if (options.syst_scale_j_by_source != '' and 'syst_scale_j_by_source' in systematic) or (options.syst_jfake_scale and 'syst_jfake_scale_approx' in systematic):
+        # if JES systematic split by source then the category and plotting variable strings need to be modified to use the shifted variables
+        replace_dict = systematics[systematic][5]  
+        for cat in cats: cats[cat] = OverwriteNames(cats[cat], replace_dict)
+        plot = OverwriteNames(plot, replace_dict)
+      
+      add_folder_name = systematics[systematic][0]
+      add_name = systematics[systematic][1]
+      isFFSyst = systematics[systematic][4]
+      ff_syst_weight = None
+      if not isFFSyst: weight = systematics[systematic][2]
+      else:
+          weight='wt'
+          ff_syst_weight = systematics[systematic][2]
+      if options.add_wt is not "": weight+="*"+options.add_wt
+      if options.channel == "tt" and options.era == 'mssmsummer16': weight+='*wt_tau_id_medium'
+      if options.channel == "tt" and options.era in ['smsummer16']: weight+='*wt_tau_id_tight'
+      if options.cat == '0jet' and options.era in ['smsummer16']: weight+='*wt_lfake_rate'
+
+
+      samples_to_skip = systematics[systematic][3]
+      add_names.append(add_name)
+      syst_add_name=add_folder_name
+      
+
+
+      mc_input_folder_name = options.folder
+      if add_folder_name != '': mc_input_folder_name += '/'+add_folder_name
+      
+      if options.signal_folder: signal_mc_input_folder_name = options.signal_folder
+      else: signal_mc_input_folder_name = options.folder
+      if add_folder_name != '': signal_mc_input_folder_name += '/'+add_folder_name
+      
+      if options.embed_folder: embed_input_folder_name = options.embed_folder
+      else: embed_input_folder_name = options.folder
+      if add_folder_name != '' and 'EmbedZTT' not in samples_to_skip: embed_input_folder_name += '/'+add_folder_name
+    
+      # Add all data files
+      for sample_name in data_samples:
+          ana.AddSamples(options.folder+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
+       
+      print("------------------")
+      print(data_samples)
+      print("------------------")
+      # Add all MC background files
+      for sample_name in ztt_samples + vv_samples + wgam_samples + top_samples + wjets_samples+ewkz_samples+gghww_samples+qqhww_samples:
+          ana.AddSamples(mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
+          #ana.AddSamples(mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', options.folder+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), sample_name) # this fixes issues if a sample is not included in systematic sub directory (e.g because systematics doesn't affect it) but at the same time can make it easier to miss issues like a sample missing that should be there 
+      print("------------------")
+      print(ztt_samples,vv_samples,wgam_samples,top_samples,wjets_samples,ewkz_samples,gghww_samples,qqhww_samples)
+      print("------------------")
+      # Add embedded samples if using
+      if options.embedding: 
+        for sample_name in embed_samples:
+          ana.AddSamples(embed_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
+          
+      # Add all MC signal files
+      
+      if options.analysis in ['sm','cpprod','cpdecay']:
+          signal_samples = sm_samples
+      elif options.analysis in ['mssm','mssmrun2']:
+          signal_samples = mssm_samples
+          if options.bbh_nlo_masses and mssm_nlo_samples: signal_samples['bbH'] = mssm_nlo_samples['bbH']
+          if options.nlo_qsh: signal_samples.update(mssm_nlo_qsh_samples)
+          if options.bbh_nlo_masses and options.bbh_masses:  signal_samples.update(mssm_lo_samples)
+      elif options.analysis == 'Hhh':
+          signal_samples = Hhh_samples
+      elif options.analysis == "vlq":
+          signal_samples = vlq_samples
+
+
+      for samp in signal_samples:
+          if options.analysis in ['sm','cpprod','cpdecay']:
+              masses=sm_masses
+          elif samp == 'ggH':
+              masses = ggh_masses
+          elif (samp == 'bbH' and not options.bbh_nlo_masses) or samp == 'bbH-LO':
+              masses = bbh_masses
+          elif 'bbH' in samp:
+              masses = bbh_nlo_masses
+          elif options.analysis == "vlq":
+              masses = None
+          if masses is not None:    
+              for mass in masses:
+                  sample_names=[]
+                  if isinstance(signal_samples[samp], (list,)): 
+                     for i in signal_samples[samp]: sample_names.append(i.replace('*',mass)) 
+                  else: sample_names = [signal_samples[samp].replace('*',mass)]
+                  tree_name = 'ntuple'
+                  if options.gen_signal: tree_name = 'gen_ntuple'
+                  for sample_name in sample_names: 
+                    #if 'amcatnloFXFX' in sample_name and False:
+                    #  new_sig_folder = '/vols/cms/dw515/Offline/output/SM/Oct26_2016_newsig/'
+                    #  if add_folder_name != '': new_sig_folder += '/'+add_folder_name
+                    ana.AddSamples(signal_mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), tree_name, None, sample_name)
+          elif options.analysis == "vlq":
+              if options.vlq_sig != "":
+                if samp in options.vlq_sig.split(","):
+                  sample_names=[]
+                  if isinstance(vlq_samples[samp], (list,)):
+                    for i in vlq_samples[samp]: sample_names.append(i)
+                  else: sample_names = [vlq_samples[samp]]
+                  for sample_name in sample_names:
+                    ana.AddSamples(signal_mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
+                   #ana.AddSamples(signal_mc_input_folder_name+'/'+signal_samples[samp]+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, signal_samples[samp])
+
+
+      if options.add_sm_background and options.analysis in ['mssm','mssmrun2']:
+          for samp in sm_samples:
+            sample_names=[]
+            if isinstance(sm_samples[samp], (list,)):
+              for i in sm_samples[samp]: sample_names.append(i.replace('*',options.add_sm_background))
+            else: sample_names = [sm_samples[samp].replace('*',options.add_sm_background)]
+            for sample_name in sample_names:
+              ana.AddSamples(signal_mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
+
+
+
+
+
+
+              
+      ana.AddInfo(options.paramfile, scaleTo='data_obs')
+  
+      # Add data only for default
+      if systematic == 'default': do_data = True
+      else: do_data = False
+              
+      #Run default plot 
+      if options.scheme == 'signal': 
+          samples_to_skip.extend(['TTT','TTJ','VVT','VVJ','W','QCD','jetFakes','ZLL','ZTT','ZL','EWKZ','ggH_hww'])
+          do_data = False
+      if options.scheme == "noTT":
+          samples_to_skip.extend(["TTT","TTJ"])
+      if options.scheme == "noWandEWKZ":
+          samples_to_skip.extend(['TTT','TTJ','W','EWKZ'])
+      RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, add_name, weight, do_data, samples_to_skip,outfile,ff_syst_weight)
+      #if options.era == "tauid2016" and options.channel in ['et','mt']: 
+      #    RunPlotting(ana, cats['pass']+'&&'+cats['baseline'], cats_unmodified['pass']+'&&'+cats_unmodified['baseline'], sel, "pass"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
+      #    RunPlotting(ana, cats['fail']+'&&'+cats['baseline'], cats_unmodified['fail']+'&&'+cats_unmodified['baseline'], sel, "fail"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
+     
+      if options.do_custom_uncerts and options.custom_uncerts_wt_up != "" and options.custom_uncerts_wt_down !="":
+          add_names.append("_custom_uncerts_up")
+          add_names.append("_custom_uncerts_down")
+          RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, '_custom_uncerts_up', weight+'*'+options.custom_uncerts_wt_up, do_data, ['signal'],outfile,ff_syst_weight)
+          RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, '_custom_uncerts_down', weight+'*'+options.custom_uncerts_wt_down, do_data, ['signal'],outfile,ff_syst_weight)
+
+
+      add_names_dict[add_name] = samples_to_skip
+      
+      del systematics[systematic]
+  if options.plot_from_dc == "":
+     ana.Run()
+     ana.nodes.Output(outfile)
+
+
+  # fix negative bns,empty histograms etc.
+     FixBins(ana,outfile)
+     for n in add_names: 
+       GetTotals(ana,n,outfile)
+     PrintSummary(nodename, ['data_obs'], add_names)
+
+
+if compare_w_shapes or compare_qcd_shapes: CompareShapes(compare_w_shapes, compare_qcd_shapes)
+    
+#if options.method in [17,18] and options.do_ff_systs: NormFFSysts(ana,outfile)
+if (options.era in ["smsummer16"] and options.syst_w_fake_rate and options.method != 8) or options.era in ["tauid2016"]: NormWFakeSysts(ana,outfile)
+#NormEmbedToMC(ana,outfile) # this is to check embedding sensitivity after scaling embedding to MC yields
+
+
+if options.syst_embedding_tt and options.embedding and not options.no_default: TTBarEmbeddingSyst(ana,outfile,options.syst_embedding_tt)
+
+
+if options.doNLOScales: 
+    ScaleUncertBand(nodename,outfile)
+    DONLOUncerts(nodename,outfile)
+if options.doPDF:
+    PDFUncerts(nodename,outfile)
+
+
+def Symmetrise(hist):
+  nbins = hist.GetNbinsX()
+  if nbins % 2:
+    print 'N X bins in 2D histogram is not even so cannot symmetrise!'
+    return
+  to_skip = ['data_obs','ggH','qqH','WH','WplusH','WminusH','ZH']
+  to_skip = ['data_obs']
+  if True in [x in hist.GetName() for x in to_skip]: return
+  for i in range(1,nbins/2+1):
+    lo_bin = i
+    hi_bin = nbins-i+1
+    for j in range(1,hist.GetNbinsY()+2):
+      c1 = hist.GetBinContent(lo_bin,j)
+      c2 = hist.GetBinContent(hi_bin,j)
+      e1 = hist.GetBinError(lo_bin,j)
+      e2 = hist.GetBinError(hi_bin,j)
+      cnew = (c1+c2)/2
+      enew = math.sqrt(e1**2 + e2**2)/2
+      hist.SetBinContent(lo_bin,j,cnew)
+      hist.SetBinContent(hi_bin,j,cnew)
+      hist.SetBinError(lo_bin,j,enew)
+      hist.SetBinError(hi_bin,j,enew)
+
+
+def MergeXBins(hist):
+  nxbins = hist.GetNbinsX()
+  nybins = hist.GetNbinsY()
+  nbins = hist.GetNbinsX()*hist.GetNbinsY()
+  to_skip = ['data_obs','ggH','qqH','WH','WplusH','WminusH','ZH']
+  if True in [x in hist.GetName() for x in to_skip]: return
+  for i in range(1,nybins+2):
+    tot_err = ROOT.Double()
+    tot = hist.IntegralAndError(1,nxbins,i,i,tot_err)
+    for j in range(1, nxbins+1):
+      hist.SetBinContent(j,i,tot/nxbins)
+      hist.SetBinError(j,i,tot_err/nxbins)
+
+
+## print average weights
+#x_lines = []
+#y_labels = []
+#directory = outfile.Get(nodename)
+#outfile.cd(nodename)
+#for key in directory.GetListOfKeys():
+#  hist_name = key.GetName()
+#  hist = directory.Get(hist_name).Clone()
+#
+#  if not isinstance(hist,ROOT.TDirectory):
+#    print hist.GetName(), hist.GetEntries(), hist.Integral(-1,-1)/hist.GetEntries()
+
+
+# sm 2D unrolling
+if is_2d and options.do_unrolling:
+  x_lines = []
+  y_labels = []
+  first_hist = True
+  # loop over all TH2Ds and for each one unroll to produce TH1D and add to datacard
+  directory = outfile.Get(nodename)  
+  outfile.cd(nodename)
+  hists_to_add = []
+  for key in directory.GetListOfKeys():
+    hist_name = key.GetName()
+    hist = directory.Get(hist_name).Clone()
+ 
+    if not isinstance(hist,ROOT.TDirectory):
+      include_of = True
+      if 'dijet' in options.cat: include_of = False
+ 
+      if options.symmetrise: Symmetrise(hist)
+      if options.mergeXbins: MergeXBins(hist)
+
+
+      h1d = UnrollHist2D(hist,include_of)
+      hists_to_add.append(h1d)
+      if first_hist:
+        first_hist=False
+        Nxbins = hist.GetNbinsX()
+        for i in range(1,hist.GetNbinsY()+1): x_lines.append(Nxbins*i)
+        for j in range(1,hist.GetNbinsY()+1): y_labels.append([hist.GetYaxis().GetBinLowEdge(j),hist.GetYaxis().GetBinLowEdge(j+1)])
+        if include_of: y_labels.append([hist.GetYaxis().GetBinLowEdge(hist.GetNbinsY()+1),-1])
+  for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
+
+
+# sm 3D unrolling
+if is_3d and options.do_unrolling:
+  x_lines = []
+  y_labels = []
+  z_labels = []
+  first_hist = True
+  # loop over all TH3Ds and for each one unroll to produce TH1D and add to datacard
+  directory = outfile.Get(nodename)
+  outfile.cd(nodename)
+  hists_to_add = []
+  for key in directory.GetListOfKeys():
+    hist_name = key.GetName()
+    hist = directory.Get(hist_name).Clone()
+    if not isinstance(hist,ROOT.TDirectory):
+      include_y_of = False
+      include_z_of = True
+      h1d = UnrollHist3D(hist,include_y_of,include_z_of)
+      hists_to_add.append(h1d)
+      if first_hist:
+        first_hist=False
+        Nxbins = hist.GetNbinsX()
+        for i in range(1,hist.GetNbinsY()+1): x_lines.append(Nxbins*i)
+        for j in range(1,hist.GetNbinsY()+1): y_labels.append([hist.GetYaxis().GetBinLowEdge(j),hist.GetYaxis().GetBinLowEdge(j+1)])
+        if include_y_of: y_labels.append([hist.GetYaxis().GetBinLowEdge(hist.GetNbinsY()+1),-1])
+        for j in range(1,hist.GetNbinsZ()+1): z_labels.append([hist.GetZaxis().GetBinLowEdge(j),hist.GetZaxis().GetBinLowEdge(j+1)])
+        if include_z_of: z_labels.append([hist.GetZaxis().GetBinLowEdge(hist.GetNbinsZ()+1),-1])
+  for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
+
+
+
+
+# make systematic uncertainty histograms
+
+
+custom_uncerts_up_name = options.custom_uncerts_up_name
+custom_uncerts_down_name = options.custom_uncerts_down_name
+#if len(syst_names)>1 and options.do_custom_uncerts:
+if options.do_custom_uncerts:
+
+
+  custom_uncerts_up_name = 'total_bkg_uncerts_total_up' 
+  custom_uncerts_down_name = 'total_bkg_uncerts_total_down' 
+
+
+  directory = outfile.Get(nodename)
+  h0 = directory.Get('total_bkg')
+  hists=[]
+
+
+  for x in syst_names:
+    if x == 'default': continue
+    h=h0.Clone()
+    syst = syst_names[x]
+    print 'add syst', x, syst, h0.Integral()
+    h.SetName(h0.GetName()+syst)
+    for key in directory.GetListOfKeys():
+      name = key.GetName()
+      if name.startswith('ggH') or name.startswith('bbH') or name.startswith('qqH') or name.startswith('VH') or name.startswith('ZH') or name.startswith('WH') or name.startswith('WplusH') or name.startswith('WminusH'): continue
+      histo = directory.Get(name)
+      if not isinstance(histo,ROOT.TDirectory) and name.endswith(syst) and not name.startswith('jetFakes_norm'):
+        #print name.replace(syst,''), name, histo.Integral() 
+        histo_nom = directory.Get(name.replace(syst,''))
+        histo.Add(histo_nom,-1)
+        if 'scale_embed_met' in name:
+          # this part scales the embed MET uncertainties to their actual values
+          scales = {
+            "mt_2018": 0.29,
+            "mt_2017": 0.69,
+            "mt_2016": 0.44,
+            "et_2018": 0.29,
+            "et_2017": 0.69,
+            "et_2016": 0.44,
+            "tt_2018": 0.29,
+            "tt_2017": 0.69,
+            "tt_2016": 0.44,
+          }
+          scale = (scales['%s_%s' % (options.channel,options.year)]**2+0.1**2)**.5
+          print 'scaling ', name, ' by ', scale
+          for i in range(1,histo.GetNbinsX()+1): 
+            histo.SetBinContent(i,histo.GetBinContent(i)*scale)
+        h.Add(histo)
+    hists.append(h.Clone())
+
+
+  norm_systs = {}
+  if options.embedding: 
+    if options.channel in ['em']:
+      norm_systs['embed_yield'] = (0.04,['EmbedZTT'])
+      norm_systs['dy_xs'] = (0.02,['ZLL'])
+      norm_systs['lumi'] = (0.025,['TTT','VVT','ZLL'])
+    else:
+      norm_systs['embed_yield'] = (0.04,['EmbedZTT'])
+      norm_systs['dy_xs'] = (0.02,['ZL'])
+      norm_systs['lumi'] = (0.025,['TTT','VVT','ZL'])
+  else: 
+    if options.channel in ['em']:
+      norm_systs['dy_xs'] = (0.02,['ZLL','ZTT'])
+      norm_systs['lumi'] = (0.025,['TTT','VVT','ZLL','ZTT'])
+    else:
+      norm_systs['dy_xs'] = (0.02,['ZL','ZTT'])
+      norm_systs['lumi'] = (0.025,['TTT','VVT','ZL','ZTT'])
+  norm_systs['ttbar_xs'] = (0.04,['TTT'])
+  norm_systs['vv_xs'] = (0.05,['VVT'])
+  if options.channel == 'tt':
+    if options.embedding: norm_systs['tau_id'] = (0.06,['EmbedZTT'])
+    else: norm_systs['tau_id'] = (0.06,['ZTT'])
+    norm_systs['wfakes_yield'] = (0.2,['Wfakes'])
+    norm_systs['l_fakerate'] = (0.05,['VVT','ZL','TTT'])
+  if options.channel in ['et','mt']:
+    if options.embedding: 
+      norm_systs['tau_id'] = (0.03,['EmbedZTT'])
+      norm_systs['l_id'] = (0.02,['EmbedZTT','TTT','VVT','ZL'])
+    else: 
+      norm_systs['tau_id'] = (0.02,['ZTT'])
+      norm_systs['l_id'] = (0.02,['ZTT','TTT','VVT','ZL'])
+    norm_systs['l_fakerate'] = (0.2,['ZL'])
+  if options.channel in ['em']:
+    if options.embedding: 
+      norm_systs['m_id'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
+      norm_systs['e_id'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
+      norm_systs['m_trg'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
+      norm_systs['e_trg'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
+    else:
+      norm_systs['m_id'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
+      norm_systs['e_id'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
+      norm_systs['m_trg'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
+      norm_systs['e_trg'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
+    norm_systs['l_fakerate'] = (0.2,['ZLL','W'])
+  
+  for syst in norm_systs:
+  
+    val = norm_systs[syst][0]
+    procs = norm_systs[syst][1]
+    h1 = h0.Clone()
+    h2 = h0.Clone()
+    h1.SetName(h0.GetName()+syst)
+    h2.SetName(h0.GetName()+syst)
+    for p in procs:
+      print p
+      hup = directory.Get(p).Clone()
+      hnom = directory.Get(p).Clone()
+      hup.Scale(val)
+      #print syst, p, hnom.Integral(), hup.Integral()
+      h1 = h0.Clone()
+      h2 = h0.Clone()
+      h1.Add(hup)
+      h2.Add(hup,-1)
+    hists.append(h1.Clone())
+    hists.append(h2.Clone())
+
+
+  (uncert, up, down) = TotalUnc(h0, hists)
+  outfile.cd(nodename)
+  uncert.Write()
+  up.Write()
+  down.Write()
+
+
+
+if options.scale_by_bin:
+  directory = outfile.Get(nodename)
+  QCDdirectory = directory.Get("QCD.subnodes")
+  
+  hist_den = QCDdirectory.Get("ratio_den")
+  hist_scale = QCDdirectory.Get("ratio_num").Clone()
+  integralFactor = (hist_scale.Integral())/(hist_den.Integral())
+  hist_scale.Divide(hist_den)
+  for i in range(0,hist_scale.GetNbinsX()):
+    if hist_scale.GetBinContent(i+1)>=1:
+      hist_scale.Fill(i+1,integralFactor)
+
+  
+  hist_QCD = QCDdirectory.Get("data").Clone()
+  hist_bkg = QCDdirectory.Get("total_bkg")
+  hist_QCD.Add(hist_bkg,-1)
+  hist_QCD.Multiply(hist_scale)
+  hist_QCD.SetName("QCD_bybin")
+  outfile.cd(nodename)
+  hist_QCD.Write()
+  if options.no_qcd_subtract:
+    hist_QCD_nosub = QCDdirectory.Get("data").Clone()
+    hist_QCD_nosub.Multiply(hist_scale)
+    hist_QCD_nosub.SetName("QCD_bybin_nosub")
+    hist_QCD_nosub.Write()
+
+
+if options.no_qcd_subtract:
+  directory = outfile.Get(nodename)
+  QCDdirectory = directory.Get("QCD.subnodes")
+
+  hist_QCD = QCDdirectory.Get("data").Clone()
+  den = QCDdirectory.Get("ratio_den").Integral()
+  num = QCDdirectory.Get("ratio_num").Integral()
+  hist_QCD.Scale(num/den)
+  #hist_QCD.SetEntries(hist_QCD.GetEntries()*(num/den))
+  hist_QCD.SetName("QCD_nosub")
+  outfile.cd(nodename)
+  hist_QCD.Write()
+
+outfile.Close()
+
+if options.do_unrolling==0: 
+  print "Finished Processing"
+  exit(0)
+if is_2d and not options.do_unrolling:
+  print "Finished Processing"
+  exit(0) # add options for is_3d as well!
+if options.plot_from_dc != "": output_name = options.plot_from_dc
+plot_file = ROOT.TFile(output_name, 'READ')
+
+#if options.method in [12,16] or (options.channel != "tt" and options.method == "18"):
+#    w_os = plot_file.Get(nodename+"/W.subnodes/W_os")    
+#    w_ss = plot_file.Get(nodename+"/W.subnodes/W_ss")
+#    w_os_error=ROOT.Double(0.)
+#    w_ss_error=ROOT.Double(0.)
+#    w_os_total = w_os.IntegralAndError(0,w_os.GetNbinsX()+1,w_os_error)
+#    w_ss_total = w_ss.IntegralAndError(0,w_ss.GetNbinsX()+1,w_ss_error)
+#    w_os_ss = w_os_total/w_ss_total
+#    w_os_ss_error = math.sqrt( (w_os_error/w_os_total)**2 + (w_ss_error/w_ss_total)**2 )*w_os_ss
+#
+#    print "W OS/SS ratio = ", w_os_ss, "+/-", w_os_ss_error, "("+str(100*w_os_ss_error/w_os_ss)+" %)"
+
+
+if options.custom_uncerts_wt_up != "" and options.custom_uncerts_wt_down != "": 
+    custom_uncerts_up_name = "total_bkg_custom_uncerts_up"
+    custom_uncerts_down_name = "total_bkg_custom_uncerts_down"
+elif options.custom_uncerts_up_name != '':
+    custom_uncerts_up_name = options.custom_uncerts_up_name
+    custom_uncerts_down_name = options.custom_uncerts_down_name
+
+
+
+
+if not options.no_plot:
+    #if options.extra_name != '': vname = options.extra_name
+    #else: vname = var_name
+    vname = var_name + '_' +options.extra_name
+
+
+    if options.datacard != "": plot_name = options.outputfolder+'/'+vname+'_'+options.datacard+'_'+options.channel+'_'+options.year
+    else: plot_name = options.outputfolder+'/'+vname+'_'+options.cat+'_'+options.channel+'_'+options.year
+
+    if options.plot_from_dc != "": plot_name = options.outputfolder + '/combined'     
+
+
+    if options.do_ss: plot_name += "_ss"
+    if options.log_x: plot_name += "_logx" 
+    if options.log_y: plot_name += "_logy"
+    titles = plotting.SetAxisTitles(options.var,options.channel)
+    if options.do_unrolling and is_2d: titles2d = plotting.SetAxisTitles2D(options.var,options.channel)
+    if options.x_title == "": 
+      x_title = titles[0]
+      if options.do_unrolling and is_2d: 
+        x_title = titles2d[0][0]
+    else: x_title = options.x_title
+    
+    if options.y_title == "": 
+        y_title = titles[1]
+        if options.do_unrolling and is_2d: 
+          if options.norm_bins: y_title = titles2d[0][1]
+          else: y_title = titles2d[0][1]
+          y_var_titles = titles2d[1]
+    else: y_title = options.y_title
+    scheme = options.channel
+    if compare_w_shapes: scheme = 'w_shape'
+    if compare_qcd_shapes: scheme = 'qcd_shape'
+    if options.scheme != "" and options.scheme != "noWandEWKZ": scheme = options.scheme
+    FF = options.method in [17,18]
+    if options.ml_ff:
+      options.w_ff_closure = False
+      options.qcd_ff_closure = False
+    if "zttEmbed" in options.cat or "jetFakes" in options.cat:
+        options.blind = False
+        options.x_blind_min = -1e5
+        options.x_blind_max = -1e5 
+    if options.do_unrolling and is_2d:
+        auto_blind=False
+        options.norm_bins=False
+        plotting.HTTPlotUnrolled(nodename, 
+        plot_file, 
+        options.signal_scale, 
+        options.draw_signal_mass,
+        FF,
+        options.norm_bins,
+        options.channel,
+        options.blind,
+        options.x_blind_min,
+        options.x_blind_max,
+        auto_blind,
+        options.ratio,
+        options.log_y,
+        options.log_x,
+        options.ratio_range,
+        options.custom_x_range,
+        options.x_axis_min,
+        options.x_axis_max,
+        options.custom_y_range,
+        options.y_axis_max,
+        options.y_axis_min,
+        x_title,
+        y_title,
+        options.extra_pad,
+        options.do_custom_uncerts,
+        options.add_stat_to_syst,
+        options.add_flat_uncert,
+        options.uncert_title,
+        options.lumi,
+        plot_name,
+        custom_uncerts_up_name,
+        custom_uncerts_down_name,
+        scheme,
+        options.cat,
+        x_lines,
+        [y_labels,y_var_titles],
+        options.embedding,
+        vbf_background,
+        options.signal_scheme
+        )
+    elif scheme != 'signal':
+      auto_blind=False
+      plotnames = [[plot_name,"QCD"]]
+      if options.scale_by_bin:
+        plotnames.append([plot_name+"_bybin","QCD_bybin"])
+        if options.no_qcd_subtract:
+          plotnames.append([plot_name+"_bybin_nosub","QCD_bybin_nosub"])
+      if options.no_qcd_subtract:
+          plotnames.append([plot_name+"_nosub","QCD_nosub"])
+      for namepair in plotnames:
+        plotting.HTTPlot(nodename, 
+        plot_file, 
+        options.signal_scale, 
+        options.draw_signal_mass,
+        FF,
+        options.norm_bins,
+        options.channel,
+        options.blind,
+        options.x_blind_min,
+        options.x_blind_max,
+        options.ratio,
+        options.threePads,
+        options.ratio_log_y,
+        options.log_y,
+        options.log_x,
+        options.ratio_range,
+        options.custom_x_range,
+        options.x_axis_min,
+        options.x_axis_max,
+        options.custom_y_range,
+        options.y_axis_max,
+        options.y_axis_min,
+        x_title,
+        y_title,
+        options.extra_pad,
+        options.signal_scheme,
+        options.do_custom_uncerts,
+        options.add_stat_to_syst,
+        options.add_flat_uncert,
+        options.uncert_title,
+        options.lumi,
+        namepair[0],
+        custom_uncerts_up_name,
+        custom_uncerts_down_name,
+        scheme,
+        options.embedding,
+        vbf_background,
+        options.split_sm_scheme,
+        options.ggh_scheme,
+        options.cat,
+        split_taus,
+        auto_blind,
+        discrete_x_axis,
+        discrete_x_labels,
+        options.qcd_ff_closure,
+        options.w_ff_closure,
+        options.bkg_comp,
+        options.plot_signals.split(","),
+        namepair[1]
+        )
+    else:    
+      plotting.HTTPlotSignal(nodename, 
+        plot_file, 
+        options.signal_scale, 
+        options.draw_signal_mass,
+        options.norm_bins,
+        options.channel,
+        options.blind,
+        options.x_blind_min,
+        options.x_blind_max,
+        options.ratio,
+        options.log_y,
+        options.log_x,
+        options.ratio_range,
+        options.custom_x_range,
+        options.x_axis_min,
+        options.x_axis_max,
+        options.custom_y_range,
+        options.y_axis_max,
+        options.y_axis_min,
+        x_title,
+        y_title,
+        options.extra_pad,
+        options.signal_scheme,
+        options.do_custom_uncerts,
+        options.add_stat_to_syst,
+        options.add_flat_uncert,
+        options.uncert_title,
+        options.lumi,
+        plot_name,
+        custom_uncerts_up_name,
+        custom_uncerts_down_name
+        )
+    
+   # plotting.SoverBPlot(nodename,
+   #          plot_file,
+   #          options.channel,
+   #          options.log_y,
+   #          options.log_x,
+   #          options.custom_x_range,
+   #          options.x_axis_max,
+   #          options.x_axis_min,
+   #          options.custom_y_range,
+   #          options.y_axis_max,
+   #          options.y_axis_min,
+   #          x_title,
+   #          options.extra_pad,
+   #          plot_name+'_soverb')
+    
+   # hists = [plot_file.Get(nodename+"/bbH-LO700"), plot_file.Get(nodename+"/bbH700") ]
+   # plotting.CompareHists(hists,
+   #          ['Pythia','amc@NLO'],
+   #          "bb#phi 700",
+   #          options.ratio,
+   #          options.log_y,
+   #          options.log_x,
+   #          options.ratio_range,
+   #          options.custom_x_range,
+   #          options.x_axis_max,
+   #          options.x_axis_min,
+   #          options.custom_y_range,
+   #          options.y_axis_max,
+   #          options.y_axis_min,
+   #          x_title,
+   #          y_title,
+   #          options.extra_pad,
+   #          False,
+   #          plot_name,
+   #          "#mu#tau_{h}")
+
+#norm signal yields on datacards to 1pb AFTER plotting    
+outfile =  ROOT.TFile(output_name, 'UPDATE')
+for add_name in add_names: 
+    if options.analysis in ['mssm','mssmrun2']:
+        NormSignals(outfile,add_name)
+
+# for smsummer16 need to ad WplusH and WminusH templates into one
+if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
+  outfile.cd(nodename)
+  directory = outfile.Get(nodename)
+  hists_to_add = []
+  for key in directory.GetListOfKeys():
+    hist_name = key.GetName()  
+    if 'wminush' in hist_name.lower():
+      hist_to_add_name = hist_name.replace('minus', 'plus')  
+      hist = directory.Get(hist_name).Clone()
+      hist_to_add = directory.Get(hist_to_add_name).Clone()
+      hist.Add(hist_to_add)
+      hist.SetName(hist_name.replace('minus',''))
+      hists_to_add.append(hist)
+  for hist in hists_to_add: hist.Write()
+
+if options.analysis in ['mssmrun2','vlq']: #and options.era not in ['UL_16_preVFP','UL_16_postVFP','UL_17','UL_18']: //was failing before
+   RenameMSSMrun2Datacards(outfile)
+
+
+outfile.Close()
+
+print "Finished Processing"
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_2022_nosubqcd.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
similarity index 86%
rename from Analysis/HiggsTauTauRun2/scripts/plot_2022_nosubqcd.cfg
rename to Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
index 4d3a7eb40..c0c7b6141 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_2022_nosubqcd.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
@@ -1,4 +1,4 @@
-#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_2022_nosubqcd.cfg --no_qcd_subtract --var "m_vis(20,0,200)"
+#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_2022.cfg --var "m_vis(20,0,200)"
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_2022.json
@@ -13,7 +13,7 @@ draw_signal_mass=""
 year=2022
 norm_bins=True
 ratio=True
-lumi=38.48 fb^{-1} (13.6 TeV)
+lumi=38.18 fb^{-1} (13.6 TeV)
 vbf_background=False
 wp = medium
 channel = tt
@@ -23,3 +23,5 @@ outputfolder=output_2022
 no_qcd_subtract= True
 #do_ss = True
 scheme = noWandEWKZ
+scale_by_bin = True
+v2p5 = True
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
index 3a4f8362d..5b68f128f 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
@@ -1,4 +1,4 @@
-#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_UL_2018.cfg --var "m_vis(20,0,200)"
+#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_UL_2018_nosubqcd.cfg --var "m_vis(20,0,200)"
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_UL_2018.json
@@ -18,6 +18,9 @@ vbf_background=False
 wp = medium
 channel = tt
 method = 8
-outputfolder =output
-#extra_name = vvvlose
+outputfolder=output_2018_all
+#extra_name = nosubqcd
+no_qcd_subtract= True
 #do_ss = True
+scale_by_bin = True
+v2p5 = True
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
deleted file mode 100644
index 54168dd97..000000000
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018_nosubqcd.cfg
+++ /dev/null
@@ -1,24 +0,0 @@
-#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_UL_2018_nosubqcd.cfg --no_qcd_subtract --var "m_vis(20,0,200)"
-[Defaults]
-analysis=mssmrun2
-paramfile=scripts/params_UL_2018.json
-folder=/vols/cms/eb921/output/tt_UL_2018/
-era=UL_18
-sm_masses=""
-draw_signal_mass=""
-#ggh_masses=80,90,100,110,120,130,140,160,180,200,250,300,400,450,600,700,800,1200,1400,1500,1600,1800,2000,2600,2900,3200
-#bbh_nlo_masses=80,90,100,110,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-#ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-#bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-year=2018
-norm_bins=True
-ratio=True
-lumi=59.7 fb^{-1} (13 TeV)
-vbf_background=False
-wp = medium
-channel = tt
-method = 8
-outputfolder=output_nosubqcd
-#extra_name = nosubqcd
-no_qcd_subtract= True
-#do_ss = True

From c911faa25c0cd8c2fd3bd0a804e4b3a4aa7363c6 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 20 Jul 2023 11:51:25 +0100
Subject: [PATCH 23/50] Add 2022 trigger to src

---
 .../HiggsTauTauRun2/interface/HTTCategories.h |   4 +
 Analysis/HiggsTauTauRun2/src/HTTCategories.cc |  14 ++
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc   |   4 +
 .../HiggsTauTauRun2/src/HTTTriggerFilter.cc   | 150 +++++++++++++-----
 4 files changed, 132 insertions(+), 40 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/interface/HTTCategories.h b/Analysis/HiggsTauTauRun2/interface/HTTCategories.h
index 325cb45e6..deec74f1c 100644
--- a/Analysis/HiggsTauTauRun2/interface/HTTCategories.h
+++ b/Analysis/HiggsTauTauRun2/interface/HTTCategories.h
@@ -839,6 +839,10 @@ class HTTCategories : public ModuleBase {
   bool trg_singlemuon27_;
   bool trg_muonelectron_;
   bool trg_doubletau_;
+  bool trg_doubletau_plusjet60_;
+  bool trg_doubletau_plusjet75_;
+  double trg60jet_pt_;
+  double trg75jet_pt_;
   bool trg_tt_monitoring_1_;
   bool trg_tt_monitoring_2_;
   bool trg_tt_monitoring_3_;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTCategories.cc b/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
index d3d9b620a..f083a2db8 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
@@ -1145,6 +1145,10 @@ namespace ic {
       outtree_->Branch("trg_singlemuon24",    &trg_singlemuon24_);
       outtree_->Branch("trg_singlemuon27",    &trg_singlemuon27_);
       outtree_->Branch("trg_doubletau",    &trg_doubletau_);
+      outtree_->Branch("trg_doubletau_plusjet60",    &trg_doubletau_plusjet60_);
+      outtree_->Branch("trg_doubletau_plusjet75",    &trg_doubletau_plusjet75_);
+      outtree_->Branch("trg60jet_pt",    &trg60jet_pt_);
+      outtree_->Branch("trg75jet_pt",    &trg75jet_pt_);
       outtree_->Branch("trg_doubletau_mssm",    &trg_doubletau_mssm_);
 
       outtree_->Branch("trg_tt_monitoring_1",    &trg_tt_monitoring_1_);
@@ -1533,6 +1537,8 @@ namespace ic {
       synctree_->Branch("trg_singleelectron",    &trg_singleelectron_);
       synctree_->Branch("trg_singlemuon",    &trg_singlemuon_);
       synctree_->Branch("trg_doubletau",    &trg_doubletau_);
+      synctree_->Branch("trg_doubletau_plusjet60",    &trg_doubletau_plusjet60_);
+      synctree_->Branch("trg_doubletau_plusjet75",    &trg_doubletau_plusjet75_);
 
       synctree_->Branch("trg_tt_monitoring_1",    &trg_tt_monitoring_1_);
       synctree_->Branch("trg_tt_monitoring_2",    &trg_tt_monitoring_2_);
@@ -1596,6 +1602,8 @@ namespace ic {
       mvatree_->Branch("trg_singleelectron",    &trg_singleelectron_);
       mvatree_->Branch("trg_singlemuon",    &trg_singlemuon_);
       mvatree_->Branch("trg_doubletau",    &trg_doubletau_);
+      mvatree_->Branch("trg_doubletau_plusjet60",    &trg_doubletau_plusjet60_);
+      mvatree_->Branch("trg_doubletau_plusjet75",    &trg_doubletau_plusjet75_);
       mvatree_->Branch("deepTauVsJets_medium_1",   &deepTauVsJets_medium_1_);
       mvatree_->Branch("deepTauVsJets_medium_2",   &deepTauVsJets_medium_2_);
       mvatree_->Branch("deepTauVsEle_vvloose_1",   &deepTauVsEle_vvloose_1_);
@@ -1759,6 +1767,10 @@ namespace ic {
     if (event->Exists("trg_singlemuon27"))     trg_singlemuon27_     = event->Get<bool>("trg_singlemuon27");
     else trg_singlemuon27_ = false;
     if (event->Exists("trg_doubletau"))      trg_doubletau_      = event->Get<bool>("trg_doubletau");
+    if (event->Exists("trg_doubletau_plusjet60"))      trg_doubletau_plusjet60_      = event->Get<bool>("trg_doubletau_plusjet60");
+    if (event->Exists("trg_doubletau_plusjet75"))      trg_doubletau_plusjet75_      = event->Get<bool>("trg_doubletau_plusjet75");
+    if (event->Exists("trg60jet_pt"))      trg60jet_pt_      = event->Get<double>("trg60jet_pt");
+    if (event->Exists("trg75jet_pt"))      trg75jet_pt_     = event->Get<double>("trg75jet_pt");
 
     if (event->Exists("trg_tt_monitoring_1"))trg_tt_monitoring_1_ = event->Get<bool>("trg_tt_monitoring_1");
     if (event->Exists("trg_tt_monitoring_2"))trg_tt_monitoring_2_ = event->Get<bool>("trg_tt_monitoring_2");
@@ -1780,6 +1792,8 @@ namespace ic {
       trg_singleelectron_ = true;
       trg_singlemuon_     = true;
       trg_doubletau_      = true;
+      trg_doubletau_plusjet60_ = true;
+      trg_doubletau_plusjet75_ = true;
       trg_tt_monitoring_1_ = true;
       trg_tt_monitoring_2_ = true;
       trg_tt_monitoring_3_ = true;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index db46d9aa8..51dc64115 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -171,6 +171,10 @@ HTTSequence::HTTSequence(std::string& chan, std::string postf, Json::Value const
      tau_pt = 20.;
      lead_tau_pt = 20;
    }
+   if(era_type == era::data_2022_preEE || era_type == era::data_2022_preEE){
+    tau_pt=35;
+    lead_tau_pt=35;
+   }
    tau_eta = 2.1;
    min_taus = 2;
    lead_min_taus = 1;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
index eda0ecf5e..f76d338c1 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
@@ -46,6 +46,9 @@ namespace ic {
     std::string alt_er_trk_trig_obj_label;
     std::string alt_trig_obj_label_2;
     std::string alt_trig_obj_label_3;
+    std::string trig_ttpj_obj_label1="";
+    std::string trig_ttpj_obj_label2="";
+
     std::string leg1_filter;
     std::string leg2_filter;
     std::string extra_leg2_filter;
@@ -72,6 +75,14 @@ namespace ic {
     std::string alt_cross_leg2_filter;
     std::string alt_cross_extra_leg2_filter;
 
+
+    std::string ttplusjet_leg1_filter_1 = "";
+    std::string ttplusjet_leg2_filter_1 = "";
+    std::string ttplusjet_leg1_filter_2 = "";
+    std::string ttplusjet_leg2_filter_2 = "";
+    std::string ttplusjet_jet_filter_1 = "";
+    std::string ttplusjet_jet_filter_2 = "";
+
     std::string monitoring_16_trig_obj_label;
     std::string monitoring_16_leg1_filter;
     std::string monitoring_16_leg2_filter;
@@ -398,13 +409,24 @@ namespace ic {
           trig_obj_label = "triggerObjectsDoubleMediumDeepPFTauHPS35";
           leg1_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
           leg2_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
-          alt_trig_obj_label_3 = "triggerObjectsDoubleMediumDeepPFTauHPS35";
-          alt_leg1_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
-          alt_leg2_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
-          alt_jetleg1_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet75"; // leading 
-          //subleading from following (but contains leading as well)
-          alt_jetleg2_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet60"; 
-        }
+
+          trig_ttpj_obj_label1 = "triggerObjectsDoubleMediumDeepPFTauHPS30PFJets60";
+          ttplusjet_leg1_filter_1 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_leg2_filter_1 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_jet_filter_1 = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet60";
+
+          trig_ttpj_obj_label2= "triggerObjectsDoubleMediumDeepPFTauHPS30PFJets75";
+          ttplusjet_leg1_filter_2 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_leg2_filter_2 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_jet_filter_2 = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet75";          
+
+          // alt_trig_obj_label_3 = "triggerObjectsDoubleMediumDeepPFTauHPS35";
+          // alt_leg1_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          // alt_leg2_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          // alt_jetleg1_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet75"; // leading 
+          // //subleading from following (but contains leading as well)
+          // alt_jetleg2_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet60"; 
+        }// only leading jet 75 and 60 two variables
       }
       
       //single tau trigger  
@@ -665,12 +687,16 @@ namespace ic {
           trig_obj_label = "triggerObjectsDoubleMediumDeepPFTauHPS35";
           leg1_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
           leg2_filter = "hltHpsDoublePFTau35MediumDitauWPDeepTauL1HLTMatched";
-          alt_trig_obj_label_3 = "triggerObjectsDoubleMediumDeepPFTauHPS35";
-          alt_leg1_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
-          alt_leg2_filter_3 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
-          alt_jetleg1_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet75"; // leading 
-          //subleading from following (but contains leading as well)
-          alt_jetleg2_filter = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet60"; 
+
+          trig_ttpj_obj_label1 = "triggerObjectsDoubleMediumDeepPFTauHPS30PFJets60";
+          ttplusjet_leg1_filter_1 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_leg2_filter_1 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_jet_filter_1 = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet60";
+
+          trig_ttpj_obj_label2= "triggerObjectsDoubleMediumDeepPFTauHPS30PFJets75";
+          ttplusjet_leg1_filter_2 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_leg2_filter_2 = "hltHpsDoublePFTau30MediumDitauWPDeepTauL1HLTMatchedDoubleTauJet";
+          ttplusjet_jet_filter_2 = "hltHpsOverlapFilterDeepTauDoublePFTau30PFJet75";  
         }
       }
     }
@@ -996,6 +1022,11 @@ namespace ic {
    bool match_l1_parts = false;
    bool jetleg1_match = false;
    bool jetleg2_match = false;
+   bool passed_doubletau_plusjet_1 = false;
+   bool passed_doubletau_plusjet_2 = false;
+   double trg1_jet_pt = -9999;
+   double trg2_jet_pt = -9999;
+
    if (channel_ == channel::tt){
      for(unsigned i = 0; i < dileptons.size(); ++i){
        bool leg1_match = IsFilterMatchedWithIndex(dileptons[i]->At(0), objs, leg1_filter, 0.5).first;
@@ -1064,38 +1095,45 @@ namespace ic {
           match_l1_parts = (MatchByDR(match_taus,passed_l1_taus,0.5,true,true)).size() == 2;
           passed_doubletau = passed_doubletau && match_l1_parts;
         }
-      }
-
-      // 2018 vbf trg jet matching after double tau trg part
-      if ((era_ == era::data_2018 || era_ == era::data_2018UL) && passed_vbfdoubletau && alt_trig_obj_label_3 != "") {
-        std::vector<TriggerObject *> alt_objs_3 = event->GetPtrVec<TriggerObject>(alt_trig_obj_label_3);  
-        std::vector<PFJet *> jets = event->GetPtrVec<PFJet>("ak4PFJetsCHS");
-        // first need to find jets with maximum mjj and cross clean from taus?
-        if (jets.size() >= 2) {
-          unsigned int i1 = 0;
-          unsigned int j1 = 0;
-          double mjj_max = 0;
-          
-          for (unsigned int ijet = 0; ijet < jets.size()-1; ++ijet){
-            for (unsigned int jjet = ijet+1; jjet < jets.size(); ++jjet){
-              double mjj_test = (jets[ijet]->vector()+jets[jjet]->vector()).M();
+        if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
+          std::vector<PFJet *> jets = event->GetPtrVec<PFJet>("ak4PFJetsCHS");
+          if(jets.size()>0){
+            std::vector<TriggerObject *> ttplusjet_objs_1 = event->GetPtrVec<TriggerObject>(trig_ttpj_obj_label1);
+            leg1_match = IsFilterMatchedWithIndex(dileptons[i]->At(0), ttplusjet_objs_1,ttplusjet_leg1_filter_1, 0.5).first;
+            leg2_match = IsFilterMatchedWithIndex(dileptons[i]->At(1), ttplusjet_objs_1,ttplusjet_leg2_filter_1, 0.5).first;
+            if(leg1_match && leg2_match){
+              for(unsigned int ijet = 0; ijet < jets.size()-1; ++ijet){
+                jetleg1_match = IsFilterMatchedWithIndex(jets[ijet], ttplusjet_objs_1, ttplusjet_jet_filter_1, 0.5).first;
+                if(jetleg1_match){
+                  trg1_jet_pt = jets[ijet]->pt();               
+                  passed_doubletau_plusjet_1 = true;
+                  break; 
+                }
+              }
+            }
 
-              if (mjj_test > mjj_max){
-                mjj_max = mjj_test;
-                i1 = ijet;
-                j1 = jjet;
+            std::vector<TriggerObject *> ttplusjet_objs_2 = event->GetPtrVec<TriggerObject>(trig_ttpj_obj_label2);
+            leg1_match = IsFilterMatchedWithIndex(dileptons[i]->At(0), ttplusjet_objs_2,ttplusjet_leg1_filter_2, 0.5).first;
+            leg2_match = IsFilterMatchedWithIndex(dileptons[i]->At(1), ttplusjet_objs_2,ttplusjet_leg2_filter_2, 0.5).first;
+            if(leg1_match && leg2_match){
+              for(unsigned int ijet = 0; ijet < jets.size()-1; ++ijet){
+                jetleg1_match = IsFilterMatchedWithIndex(jets[ijet], ttplusjet_objs_2, ttplusjet_jet_filter_2, 0.5).first;
+                if(jetleg1_match){
+                  trg2_jet_pt = jets[ijet]->pt();               
+                  passed_doubletau_plusjet_2 = true;
+                  break; 
+                }
               }
-            } 
+            }            
+            if(!passed_doubletau && (passed_doubletau_plusjet_2 || passed_doubletau_plusjet_1)){
+              dileptons_pass.push_back(dileptons[i]);
+            }
           }
-
-          // add VBF trig here, need to do jet matching
-          jetleg1_match = IsFilterMatchedWithIndex(jets[i1], alt_objs_3, alt_jetleg1_filter, 0.5).first;
-          jetleg2_match = IsFilterMatchedWithIndex(jets[j1], alt_objs_3, alt_jetleg2_filter, 0.5).first;
-          if (jetleg1_match && jetleg2_match) passed_vbfdoubletau = true;
-          else passed_vbfdoubletau = false;
         }
       }
-      if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && passed_vbfdoubletau && alt_trig_obj_label_3 != "") {
+
+      // 2018 vbf trg jet matching after double tau trg part
+      if ((era_ == era::data_2018 || era_ == era::data_2018UL) && passed_vbfdoubletau && alt_trig_obj_label_3 != "") {
         std::vector<TriggerObject *> alt_objs_3 = event->GetPtrVec<TriggerObject>(alt_trig_obj_label_3);  
         std::vector<PFJet *> jets = event->GetPtrVec<PFJet>("ak4PFJetsCHS");
         // first need to find jets with maximum mjj and cross clean from taus?
@@ -1123,10 +1161,42 @@ namespace ic {
           else passed_vbfdoubletau = false;
         }
       }
+      // if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && passed_vbfdoubletau && alt_trig_obj_label_3 != "") {
+      //   std::vector<TriggerObject *> alt_objs_3 = event->GetPtrVec<TriggerObject>(alt_trig_obj_label_3);  
+      //   std::vector<PFJet *> jets = event->GetPtrVec<PFJet>("ak4PFJetsCHS");
+      //   // first need to find jets with maximum mjj and cross clean from taus?
+      //   if (jets.size() >= 2) {
+      //     unsigned int i1 = 0;
+      //     unsigned int j1 = 0;
+      //     double mjj_max = 0;
+          
+      //     for (unsigned int ijet = 0; ijet < jets.size()-1; ++ijet){
+      //       for (unsigned int jjet = ijet+1; jjet < jets.size(); ++jjet){
+      //         double mjj_test = (jets[ijet]->vector()+jets[jjet]->vector()).M();
+
+      //         if (mjj_test > mjj_max){
+      //           mjj_max = mjj_test;
+      //           i1 = ijet;
+      //           j1 = jjet;
+      //         }
+      //       } 
+      //     }
+
+      //     // add VBF trig here, need to do jet matching
+      //     jetleg1_match = IsFilterMatchedWithIndex(jets[i1], alt_objs_3, alt_jetleg1_filter, 0.5).first;
+      //     jetleg2_match = IsFilterMatchedWithIndex(jets[j1], alt_objs_3, alt_jetleg2_filter, 0.5).first;
+      //     if (jetleg1_match && jetleg2_match) passed_vbfdoubletau = true;
+      //     else passed_vbfdoubletau = false;
+      //   }
+      // }
     }
     event->Add("trg_doubletau", passed_doubletau);
+    event->Add("trg_doubletau_plusjet60", passed_doubletau_plusjet_1);
+    event->Add("trg_doubletau_plusjet75", passed_doubletau_plusjet_2);
     event->Add("trg_doubletau_mssm", (passed_doubletau&&passed_doubletau_extra));
     event->Add("trg_vbfdoubletau", passed_vbfdoubletau);
+    event->Add("trg60jet_pt", trg1_jet_pt);
+    event->Add("trg75jet_pt", trg2_jet_pt);
     
     bool passed_singletau_1 = false;
     bool passed_singletau_2 = false;

From 3534c58e5393dfc955f362546b75154c996ab803 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 20 Jul 2023 11:53:54 +0100
Subject: [PATCH 24/50] Add my controlplots script 2022

---
 .../scripts/control_plots_2022_tt.py          | 52 ++++++++++++++
 .../scripts/control_plots_tt.py               | 72 ++++++++++---------
 2 files changed, 91 insertions(+), 33 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py

diff --git a/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py b/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
new file mode 100644
index 000000000..063fdf6b6
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
@@ -0,0 +1,52 @@
+import os
+
+variables = [
+
+  # 'n_jets(4,0,4)', 
+  #  'pt_1(20,0,200)',
+  #  'pt_2(20,0,200)',
+  #  'mt_1(30,0,300)',
+  #  'mt_2(30,0,300)',
+  # 'pt_tt(20,0,200)',
+   'm_vis(20,0,200)'
+]
+
+#Selections in the control region (QCD)
+selnames = [
+            ["medium_vloose_medium","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
+            ["medium_vvvloose_medium","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
+            ["vloose_vvvloose_medium","deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
+            ["medium_vloose_medium_vloose","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5"],
+            ["medium_vvvloose_medium_vvvloose","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vvvloose_2>0.5"],
+            ["vloose_vvvloose_vloose_vvvloose","deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_vloose_2<0.5 && deepTauVsJets_vvvloose_2>0.5"],
+            ]
+
+DO_SS = True #produce same-sign files
+years = ["UL_2018"]#"UL_2018","2022"
+triggernames_2022 = ["trg_doubletau","trg_doubletau_plusjet60","trg_doubletau_plusjet75"]
+
+for yr in years:
+  for v in variables:
+    v_tt = v
+    for sel in selnames:
+      extra=' --ratio_range=\"0.6,1.4\" '
+      #extra += ' --tt_qcd_sel_num=%i'%sel
+      if yr == "UL_2018":
+        triggernames = ["trg_doubletau"]
+      else:
+        triggernames = triggernames_2022
+        
+      for trigname in triggernames:
+        extra+= ' --extra_name=%s_%s'%(sel[0],trigname)   
+        if v[0] != 'm':   
+          extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2 && m_vis<100)"'%trigname
+        else:
+          extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%trigname
+        
+        extra += ' --set_alias=tt_qcd_norm:"(%s && leptonveto==0 && (%s && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%(sel[1],trigname)
+        
+        os.system('python scripts/HiggsTauTauPlot.py %(extra)s --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
+        if DO_SS:
+          os.system('python scripts/HiggsTauTauPlot.py %(extra)s --do_ss --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
+    
+
diff --git a/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py b/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py
index 2e8a90b65..4545125c0 100644
--- a/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py
+++ b/Analysis/HiggsTauTauRun2/scripts/control_plots_tt.py
@@ -1,40 +1,46 @@
 import os
 
+years = ['2018','2017','2016']
+#years = ['2017']
+
 variables = [
 
-  #'n_jets(4,0,4)' 
-  # 'pt_1(20,0,200)',
-  # 'pt_2(20,0,200)',
-   #'mt_1(30,0,300)'
-  # 'mt_2(30,0,300)',
-  # 'm_vis(20,0,200)',
-  # 'pt_tt(20,0,200)'
+  'met[0,10,20,30,40,50,60,70,80,90,100,120,140,200,400]',
+  'n_jets(4,0,4)', 
+  'pt_1[40,45,50,55,60,65,70,80,90,100,120,140,200,400]',
+  'pt_2[40,45,50,55,60,65,70,80,90,100,120,140,200,400]',
+  'mt_1(30,0,300)',
+  'mt_2(30,0,300)',
+  'mt_lep(30,0,300)',
+  'm_vis(50,0,500)',
+  'met_dphi_1(20,0,3.1415927)',
+  'met_dphi_2(20,0,3.1415927)',
+  'mt_tot[50,60,70,80,100,120,140,160,180,200,250,300,350,400,500,700,900,3900]', 
+  'dphi(20,0,3.1415927)',
+  'n_deepbjets(4,0,4)', 
 ]
 
-selnames = ["medium_vloose_medium",
-            "medium_vvvloose_medium",
-            "vloose_vvvloose_medium",
-            "medium_vloose_medium_vloose",
-            "medium_vvvloose_medium_vvvloose",
-            "vloose_vvvloose_vloose_vvvloose"]
-
-for v in variables:
-  v_tt = v
-  for sel in range(0,6):
-    extra=' --ratio_range=\"0.6,1.4\" '
-    extra+= '--extra_name=%s'%selnames[sel]
-    extra += ' --tt_qcd_sel_num=%i'%sel
-
-  #if 'mt_tot' in v: extra+='--log_y --log_x'
-  
-
-  # add systematic bands
-  #extra += ' --do_custom_uncerts --add_stat_to_syst --syst_tau_trg_diff="trg_syst_*" --syst_tau_id_diff="id_syst_*"  --do_ff_systs --syst_tquark="syst_ttbar_pt"  --syst_embedding_tt="syst_embed_tt" ' #--syst_tau_scale_grouped="tes_*group" '
-    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --cfg scripts/plot_UL_2018_nosubqcd.cfg --no_qcd_subtract --var=\"%(v_tt)s\"' % vars ())
-    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --cfg scripts/plot_UL_2018.cfg --var=\"%(v_tt)s\"' % vars() )
-    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --do_ss --cfg scripts/plot_UL_2018_nosubqcd.cfg --no_qcd_subtract --var=\"%(v_tt)  s\"' % vars())
-    os.system('python scripts/HiggsTauTauPlot.py %(extra)s --do_ss --cfg scripts/plot_UL_2018.cfg --var=\"%(v_tt)s\"' % vars() )
-  
-  #os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_UL_%(yp)s.cfg --var=\"%(v_tt)s\"   --outputfolder=controlOutput/ %(extra)s --embedding ' % vars())
-  #os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_UL_%(yp)s.cfg --var=\"%(v_tt)s\"   --outputfolder=controlOutput/ %(extra)s --datacard=mc ' % vars())
+
+for y in years:
+  for v in variables:
+
+    yp = y
+
+    v_tt = v
+
+
+    if y != '2018':
+      extra=' --norm_bins --extra_pad=0.4 --singletau --add_wt=\'wt_tau_trg_mssm*wt_tau_id_mssm*wt_prefire\' '
+    else:
+      extra=' --norm_bins --extra_pad=0.4 --singletau --add_wt=\'wt_tau_trg_mssm*wt_tau_id_mssm\' '
+ 
+    if 'mt_tot' in v: extra='--log_y --log_x'
+
+    extra+=' --ratio_range=\"0.6,1.4\" '
+ 
+    # add systematic bands
+    extra += ' --do_custom_uncerts --add_stat_to_syst --syst_tau_trg_diff="trg_syst_*" --syst_tau_id_diff="id_syst_*"  --do_ff_systs --syst_tquark="syst_ttbar_pt"  --syst_embedding_tt="syst_embed_tt" ' #--syst_tau_scale_grouped="tes_*group" '
+
+    os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_mssm_%(yp)s.cfg --method=17 --channel=tt --var=\"%(v_tt)s\"   --outputfolder=mssm_control/ %(extra)s --embedding ' % vars())
+    os.system('python scripts/HiggsTauTauPlot.py --cfg=scripts/plot_mssm_%(yp)s.cfg --method=17 --channel=tt --var=\"%(v_tt)s\"   --outputfolder=mssm_control/ %(extra)s --datacard=mc ' % vars())
 

From 02a3cb48601ece0e70d17b60ed96c7ca0ffce131 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 20 Jul 2023 12:10:59 +0100
Subject: [PATCH 25/50] Some new features in plotting.py

---
 python/plotting.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/python/plotting.py b/python/plotting.py
index d0ed2cc29..a73fc5884 100644
--- a/python/plotting.py
+++ b/python/plotting.py
@@ -2216,7 +2216,8 @@ def HTTPlot(nodename,
             qcd_ff_closure=False,
             w_ff_closure=False,
             bkg_comp = False,
-            plot_signals=[]
+            plot_signals=[],
+            qcdname="QCD" #Only used with tt for specific analysis, not implemented fully
             ):
 
     R.gROOT.SetBatch(R.kTRUE)
@@ -2289,7 +2290,7 @@ def HTTPlot(nodename,
                 ],
             'tt':[
                 backgroundComp("t#bar{t}",["TTT","TTJ"],R.TColor.GetColor(155,152,204)),
-                backgroundComp("QCD", ["QCD"], R.TColor.GetColor(250,202,255)),
+                backgroundComp("QCD", [qcdname], R.TColor.GetColor(250,202,255)),
                 backgroundComp("Electroweak",["VVT","VVJ","W","ZL","ZJ"],R.TColor.GetColor(222,90,106)),
                 backgroundComp("Z#rightarrow#tau#tau",["ZTT","EWKZ"],R.TColor.GetColor(248,206,104)),
                 ],
@@ -3185,6 +3186,7 @@ def HTTPlot(nodename,
     
     c1.SaveAs(plot_name+'.pdf')
     c1.SaveAs(plot_name+'.png')
+    c1.Close()
 
 def CompareSysts(hists=[],
              plot_name="plot",

From b789c25e46e5ca2f3775af3fdf7e8baa7fbfd114 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 27 Jul 2023 13:14:36 +0100
Subject: [PATCH 26/50] Small changes

---
 .../HiggsTauTauRun2/scripts/htt_2022_postEE.py |  2 +-
 .../HiggsTauTauRun2/scripts/htt_2022_preEE.py  |  2 +-
 Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg | 18 +++++++++---------
 .../HiggsTauTauRun2/scripts/plot_UL_2018.cfg   | 18 +++++++++---------
 4 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
index f4ca853eb..e1c224abf 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -3,7 +3,7 @@
 # python scripts/htt_mssm_2018.py --bkg --data --embed --sm --mssm --jetmetuncerts --scales="default,scale_t_0pi,scale_t_1pi,scale_t_3prong,scale_t_3prong1pi0,scale_efake_0pi,scale_efake_1pi,scale_mufake_0pi,scale_mufake_1pi,scale_e" --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
 
 
-# python scripts/htt_UL_2018.py --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+# python scripts/htt_2022_postEE.py --data --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
 
 
 # importing libraries
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
index 3f79e4eb0..baa10d4de 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -3,7 +3,7 @@
 # python scripts/htt_mssm_2018.py --bkg --data --embed --sm --mssm --jetmetuncerts --scales="default,scale_t_0pi,scale_t_1pi,scale_t_3prong,scale_t_3prong1pi0,scale_efake_0pi,scale_efake_1pi,scale_mufake_0pi,scale_mufake_1pi,scale_e" --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
 
 
-# python scripts/htt_UL_2018.py --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+# python scripts/htt_2022_preEE.py --data --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
 
 
 # importing libraries
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
index c0c7b6141..300357b82 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
@@ -15,13 +15,13 @@ norm_bins=True
 ratio=True
 lumi=38.18 fb^{-1} (13.6 TeV)
 vbf_background=False
-wp = medium
-channel = tt
-method = 8
+wp=medium
+channel=tt
+method=8
 outputfolder=output_2022
-#extra_name = nosubqcd
-no_qcd_subtract= True
-#do_ss = True
-scheme = noWandEWKZ
-scale_by_bin = True
-v2p5 = True
+#extra_name=nosubqcd
+no_qcd_subtract=True
+#do_ss=True
+scheme=noWandEWKZ
+scale_by_bin=True
+#v2p5=True
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
index 5b68f128f..9f39558e9 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
@@ -15,12 +15,12 @@ norm_bins=True
 ratio=True
 lumi=59.7 fb^{-1} (13 TeV)
 vbf_background=False
-wp = medium
-channel = tt
-method = 8
-outputfolder=output_2018_all
-#extra_name = nosubqcd
-no_qcd_subtract= True
-#do_ss = True
-scale_by_bin = True
-v2p5 = True
\ No newline at end of file
+wp=medium
+channel=tt
+method=8
+outputfolder=output_2018_test
+#extra_name=nosubqcd
+no_qcd_subtract=True
+#do_ss=True
+scale_by_bin=True
+#v2p5=True
\ No newline at end of file

From 48d26139d12a78012eae216329ec182d86a7dd06 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 27 Jul 2023 13:20:22 +0100
Subject: [PATCH 27/50] Solving jet overlap issue in triggers

---
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc   | 30 ++++++++++---------
 .../HiggsTauTauRun2/src/HTTTriggerFilter.cc   |  6 ++--
 2 files changed, 19 insertions(+), 17 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index 51dc64115..f506a49ea 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -571,21 +571,7 @@ httPairSelector.set_gen_taus_label("genParticles");
 
 BuildModule(httPairSelector);
  
-if(channel != channel::tpzmm &&channel !=channel::tpzee && (is_data || js["trg_in_mc"].asBool())){
 
-  bool tau_dataset = output_name.find("Tau") != output_name.npos && is_data; 
-  BuildModule(HTTTriggerFilter("HTTTriggerFilter")
-      .set_channel(channel)
-      .set_mc(mc_type)
-      .set_era(era_type)
-      .set_strategy(strategy_type)
-      .set_is_data(is_data)
-      .set_tau_dataset(tau_dataset)
-      .set_is_embedded(is_embedded)
-      .set_do_singletau(js["do_singletau"].asBool())
-      .set_do_filter(false)
-      .set_pair_label("ditau"));
-}
 
 // Lepton Vetoes
 if (js["baseline"]["di_elec_veto"].asBool()) BuildDiElecVeto();
@@ -1351,6 +1337,22 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
   
   BuildModule(svFitTest);
   
+  if(channel != channel::tpzmm &&channel !=channel::tpzee && (is_data || js["trg_in_mc"].asBool())){
+
+    bool tau_dataset = output_name.find("Tau") != output_name.npos && is_data; 
+    BuildModule(HTTTriggerFilter("HTTTriggerFilter")
+        .set_channel(channel)
+        .set_mc(mc_type)
+        .set_era(era_type)
+        .set_strategy(strategy_type)
+        .set_is_data(is_data)
+        .set_tau_dataset(tau_dataset)
+        .set_is_embedded(is_embedded)
+        .set_do_singletau(js["do_singletau"].asBool())
+        .set_do_filter(false)
+        .set_pair_label("ditau"));
+  }
+  
   
   bool do_mssm_higgspt = output_name.find("SUSYGluGluToHToTauTau_M") != output_name.npos;
   BuildModule(HTTCategories("HTTCategories")
diff --git a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
index f76d338c1..ac9fd73e7 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
@@ -1101,8 +1101,8 @@ namespace ic {
             std::vector<TriggerObject *> ttplusjet_objs_1 = event->GetPtrVec<TriggerObject>(trig_ttpj_obj_label1);
             leg1_match = IsFilterMatchedWithIndex(dileptons[i]->At(0), ttplusjet_objs_1,ttplusjet_leg1_filter_1, 0.5).first;
             leg2_match = IsFilterMatchedWithIndex(dileptons[i]->At(1), ttplusjet_objs_1,ttplusjet_leg2_filter_1, 0.5).first;
-            if(leg1_match && leg2_match){
-              for(unsigned int ijet = 0; ijet < jets.size()-1; ++ijet){
+            if(leg1_match && leg2_match){             
+              for(unsigned int ijet = 0; ijet < jets.size(); ++ijet){
                 jetleg1_match = IsFilterMatchedWithIndex(jets[ijet], ttplusjet_objs_1, ttplusjet_jet_filter_1, 0.5).first;
                 if(jetleg1_match){
                   trg1_jet_pt = jets[ijet]->pt();               
@@ -1116,7 +1116,7 @@ namespace ic {
             leg1_match = IsFilterMatchedWithIndex(dileptons[i]->At(0), ttplusjet_objs_2,ttplusjet_leg1_filter_2, 0.5).first;
             leg2_match = IsFilterMatchedWithIndex(dileptons[i]->At(1), ttplusjet_objs_2,ttplusjet_leg2_filter_2, 0.5).first;
             if(leg1_match && leg2_match){
-              for(unsigned int ijet = 0; ijet < jets.size()-1; ++ijet){
+              for(unsigned int ijet = 0; ijet < jets.size(); ++ijet){
                 jetleg1_match = IsFilterMatchedWithIndex(jets[ijet], ttplusjet_objs_2, ttplusjet_jet_filter_2, 0.5).first;
                 if(jetleg1_match){
                   trg2_jet_pt = jets[ijet]->pt();               

From c5601005ca652e2f1ec877ffa8ca7121751e4825 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 27 Jul 2023 13:42:37 +0100
Subject: [PATCH 28/50] modify my plotters

---
 .../scripts/compare_qcdmethods.py             | 498 ++++++++++++++----
 .../scripts/control_plots_2022_tt.py          |  70 ++-
 2 files changed, 451 insertions(+), 117 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
index 5c8fe936c..6a2a731a2 100644
--- a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
+++ b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
@@ -1,127 +1,441 @@
 import ROOT as R
-from UserCode.ICHiggsTauTau.plotting import CompareHists
+from UserCode.ICHiggsTauTau.plotting import *
 import numpy as np
 
-file_w_qcdsub_dirname = "../output/datacard_"
-file_wo_qcdsub_dirname = "../output_nosubqcd/datacard_"
+PLOTBYBIN = True
+DOCHI2 = True
+infiles_dirname = "output_2018_good/"
+output_folder_name = "output_test/"
+
+def MyCompareHists(hists=[],
+             legend_titles=[],
+             title="",
+             ratio=True,
+             log_y=False,
+             log_x=False,
+             ratio_range="0.7,1.3",
+             custom_x_range=False,
+             x_axis_max=4000,
+             x_axis_min=0,
+             custom_y_range=False,
+             y_axis_max=4000,
+             y_axis_min=0,
+             x_title="",
+             y_title="",
+             extra_pad=0,
+             norm_hists=False,
+             plot_name="plot",
+             label="",
+             norm_bins=True,
+             uncert_hist=None,
+             uncert_title='',
+             ReweightPlot=False,
+             output_file = None,
+             outputfolder = None):
+   
+    objects=[]
+    R.gROOT.SetBatch(R.kTRUE)
+    R.TH1.AddDirectory(False)
+    ModTDRStyle(r=0.04, l=0.14)
+
+    colourlist=[R.kBlue,R.kRed,R.kGreen+3,R.kBlack,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
+    if ReweightPlot:
+      colourlist=[R.kBlack,R.kBlue,R.kRed,R.kGreen+3,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
+
+    hs = R.THStack("hs","")
+    hist_count=0
+    legend_hists=[]
+    if isinstance(uncert_hist, (list,)):
+     for i in uncert_hist:
+       if i is None: continue 
+       if norm_bins and i is not None: i.Scale(1.0,"width")
+    else:
+      if norm_bins and uncert_hist is not None: uncert_hist.Scale(1.0,"width")
+
+    for hist in hists:
+        # print hist.GetName()
+        # for bin_ in range(1,hist.GetNbinsX()):
+        #     print hist.GetBinContent(bin_)
+        #     print np.sqrt(hist.GetBinContent(bin_))
+        if norm_hists: hist.Scale(1.0/hist.Integral(0, hist.GetNbinsX()+1))
+        if norm_bins: hist.Scale(1.0,"width")
+        h = hist.Clone()
+        objects.append(h)
+        h.SetFillColor(0)
+        h.SetLineWidth(3)
+        h.SetLineColor(colourlist[hist_count])
+        h.SetMarkerColor(colourlist[hist_count])
+        h.SetMarkerSize(0)
+        hs.Add(h)
+        hist_count+=1
+        o=h.Clone()
+        objects.append(o)
+        legend_hists.append(o)
+   # hs.Draw("nostack")
+        
+    c1 = R.TCanvas()
+    c1.cd()
+    
+    if ratio:
+        if ReweightPlot: pads=TwoPadSplit(0.39,0.01,0.01)
+        else: pads=TwoPadSplit(0.29,0.01,0.01)
+    else:
+        pads=OnePad()
+    pads[0].cd()
+    
+    if(log_y): pads[0].SetLogy(1)
+    if(log_x): pads[0].SetLogx(1)
+    if custom_x_range:
+        if x_axis_max > hists[0].GetXaxis().GetXmax(): x_axis_max = hists[0].GetXaxis().GetXmax()
+    if ratio:
+        if(log_x): pads[1].SetLogx(1)
+        axish = createAxisHists(2,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.01)
+        axish[1].GetXaxis().SetTitle(x_title)
+        axish[1].GetXaxis().SetLabelSize(0.03)
+        axish[1].GetYaxis().SetNdivisions(4)
+        axish[1].GetYaxis().SetTitle("Ratio")
+        #if ReweightPlot:
+        #  axish[1].GetYaxis().SetTitle("Correction")
+        axish[1].GetYaxis().SetTitleOffset(1.6)
+        axish[1].GetYaxis().SetTitleSize(0.04)
+        axish[1].GetYaxis().SetLabelSize(0.03)
+    
+        axish[0].GetXaxis().SetTitleSize(0)
+        axish[0].GetXaxis().SetLabelSize(0)
+        if custom_x_range:
+          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
+          axish[1].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
+        if custom_y_range:
+          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
+          axish[1].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
+    else:
+        axish = createAxisHists(1,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.005)
+        axish[0].GetXaxis().SetLabelSize(0.03)
+        axish[0].GetXaxis().SetTitle(x_title)
+        axish[0].GetXaxis().SetTitleSize(0.04)
+        if custom_x_range:
+          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
+        if custom_y_range:                                                                
+          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
+    axish[0].GetYaxis().SetTitle(y_title)
+    axish[0].GetYaxis().SetTitleOffset(1.6)
+    axish[0].GetYaxis().SetTitleSize(0.04)
+    axish[0].GetYaxis().SetLabelSize(0.03)
+
+    hs.Draw("nostack same")
+
+    uncert_hs = R.THStack()
+    if uncert_hist is not None:
+      if isinstance(uncert_hist, (list,)):
+         #col_list = [12,6,4,2,3,4]
+         col_list=colourlist
+         count = 0
+         for i in uncert_hist:
+           if i is not None:
+             i.SetFillColor(CreateTransparentColor(col_list[count],0.4))
+             i.SetLineColor(CreateTransparentColor(col_list[count],0.4))
+             i.SetMarkerSize(0)
+             i.SetMarkerColor(CreateTransparentColor(col_list[count],0.4))
+             i.SetFillStyle(1111)
+             uncert_hs.Add(i)
+           count+=1
+         uncert_hs.Draw("nostack e2same")  
+      else: 
+        uncert_hist.SetFillColor(CreateTransparentColor(12,0.4))
+        uncert_hist.SetLineColor(CreateTransparentColor(12,0.4))
+        uncert_hist.SetMarkerSize(0)
+        uncert_hist.SetMarkerColor(CreateTransparentColor(12,0.4))
+        uncert_hist.SetFillStyle(1111)
+        uncert_hs.Add(uncert_hist)
+        uncert_hs.Draw("e2same")
+
+      uncert_hs.Draw("nostack e2same")  
+    if not custom_y_range:
+        if(log_y):
+            if hs.GetMinimum("nostack") >0: axish[0].SetMinimum(hs.GetMinimum("nostack"))
+            else: axish[0].SetMinimum(0.0009)
+            axish[0].SetMaximum(10**((1+extra_pad)*(math.log10(1.1*hs.GetMaximum("nostack") - math.log10(axish[0].GetMinimum())))))
+        else:
+            maxi=1.1*(1+extra_pad)*max(hs.GetMaximum("nostack"),uncert_hs.GetMaximum("nostack"))
+            if not ReweightPlot: axish[0].SetMinimum(0)
+            else:
+              mini = None
+              maxi = None
+              for h in hists+uncert_hist:
+                if h is None: continue
+                for i in range(1,h.GetNbinsX()+1): 
+                  lo = h.GetBinContent(i)-h.GetBinError(i) 
+                  hi = h.GetBinContent(i)+h.GetBinError(i) 
+                  if mini is None:
+                    mini = min(lo,hi) 
+                    maxi = max(lo,hi) 
+                  else:
+                    mini = min(mini,lo,hi) 
+                    maxi = max(maxi,lo,hi) 
+              #mini = min(hs.GetMinimum("nostack"),uncert_hs.GetMinimum("nostack"))
+              mini-= abs(mini)*extra_pad
+              axish[0].SetMinimum(mini)
+              maxi*=(1.+extra_pad)
+            axish[0].SetMaximum(maxi)
+    axish[0].Draw()
+    uncert_hs.Draw("nostack e2same")  
+
+    hs.Draw("nostack hist same")
+    axish[0].Draw("axissame")
+    
+    
+    #Setup legend
+    tot = len(hists)
+    if isinstance(uncert_hist,list): tot+=len(uncert_hist)
+    legend = PositionedLegend(0.3,0.1,2,0.04)
+    legend.SetTextFont(42)
+    legend.SetTextSize(0.035)
+    legend.SetFillColor(0)
+    
+
+    for legi,hist in enumerate(legend_hists):
+        legend.AddEntry(hist,legend_titles[legi],"l")
+    if isinstance(uncert_hist, (list,)):
+     count=0
+     for i in uncert_hist:
+       if i is not None: legend.AddEntry(i,uncert_title[count],'f') 
+       count+=1
+    else:
+      if uncert_hist is not None and uncert_title: legend.AddEntry(uncert_hist,uncert_title,'f')
+    legend.Draw("same")
+    
+    #CMS label and title
+    FixTopRange(pads[0], axish[0].GetMaximum(), extra_pad if extra_pad>0 else 0.30)
+    DrawCMSLogo(pads[0], 'CMS', 'Preliminary', 11, 0.045, 0.05, 1.0, '', 1.0)
+    #DrawCMSLogo(pads[0], 'CMS', 'Simulation', 11, 0.045, 0.05, 1.0, '', 1.0)
+    DrawTitle(pads[0], title, 3)
+    
+    latex2 = R.TLatex()
+    latex2.SetNDC()
+    latex2.SetTextAngle(0)
+    latex2.SetTextColor(R.kBlack)
+    latex2.SetTextSize(0.028)
+    latex2.DrawLatex(0.145,0.955,label)
+    
+    #Add ratio plot if required
+    if ratio:
+        ratio_hs = R.THStack("ratio_hs","")
+        hist_count=0
+        pads[1].cd()
+        pads[1].SetGrid(0,1)
+        axish[1].Draw("axis")
+        axish[1].SetMinimum(float(ratio_range.split(',')[0]))
+        axish[1].SetMaximum(float(ratio_range.split(',')[1]))
+        div_hist = hists[0].Clone()
+        objects.append(div_hist)
+        
+        for i in range(0,div_hist.GetNbinsX()+2): div_hist.SetBinError(i,0)
+        first_hist=True
+        for hist in hists:
+            h = hist.Clone()
+            objects.append(h)
+
+            h.SetFillColor(0)
+            h.SetLineWidth(3)
+            h.SetLineColor(colourlist[hist_count])
+            h.SetMarkerColor(colourlist[hist_count])
+            h.SetMarkerSize(0)
+
+            h.Divide(div_hist)
+            if first_hist:
+               for i in range(1,h.GetNbinsX()+1): h.SetBinError(i,0.00001)
+               first_hist=False
+            o = h.Clone()
+            objects.append(o)
+            ratio_hs.Add(o)
+            hist_count+=1
+        if uncert_hist is not None:
+           if isinstance(uncert_hist, (list,)):
+             ratio_err_hs = R.THStack("ratio_err_hs","")
+             count=0
+             for i in uncert_hist:
+               if i is not None:
+                 h = i.Clone()
+                 objects.append(h)
+                 h.Divide(div_hist)
+                 ratio_err_hs.Add(h)
+                 h.Draw("e2same")
+               count+=1
+             #ratio_err_hs.Draw("nostack e2same")
+           else:
+             h = uncert_hist.Clone()
+             objects.append(h)
+             h.Divide(div_hist)
+             h.Draw("e2same") 
+        ratio_hs.Draw("nostack e same")  
+        pads[1].RedrawAxis("G")
+    pads[0].cd()
+    pads[0].GetFrame().Draw()
+    pads[0].RedrawAxis()
+    
+    
+    legendstats = PositionedLegend(0.3,0.25,3,0.04)
+    legendstats.SetTextFont(42)
+    legendstats.SetTextSize(0.044)
+    legendstats.SetFillColor(0)
+    legendstats.SetHeader("         Integrals")
+    
+
+    for legi,hist in enumerate(legend_hists):
+        legendstats.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(),
+                            (hist.Integral()/legend_hists[0].Integral())*100),"l")
+    if isinstance(uncert_hist, (list,)):
+     count=0
+     for i in uncert_hist:
+       if i is not None: legendstats.AddEntry(i,uncert_title[count],'f') 
+       count+=1
+    else:
+      if uncert_hist is not None and uncert_title: legendstats.AddEntry(uncert_hist,uncert_title,'f')
+    legendstats.Draw("same")
+    
+    c1.SaveAs(outputfolder+plot_name+'.png')
+    #c1.SaveAs(outputfolder+plot_name+'.pdf')
+    if output_file is not None:
+        output_file.WriteObject(c1, plot_name)
+    for o in objects:
+        o.IsA().Destructor(o)
+    c1.Close()
 
 variables = [
   
-  ["n_jets","N_{jets}"],
-  ["pt_1","p_{T}^{#tau_{1}}"],
-  ["pt_2", "p_{T}^{#tau_{2}}"],
-  ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
-  ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
+  # ["n_jets","N_{jets}"],
+  # ["pt_1","p_{T}^{#tau_{1}}"],
+  # ["pt_2", "p_{T}^{#tau_{2}}"],
+  # ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
+  # ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
   ["m_vis","m_{#tau#tau}"],
   ["pt_tt", "p_{T}^{#tau#tau}"]
 
 ]
 
-selnames = ["medium_vloose_medium",
-            "medium_vvvloose_medium",
-            "vloose_vvvloose_medium",
+selnames = [
             "medium_vloose_medium_vloose",
-            "medium_vvvloose_medium_vvvloose",
-            "vloose_vvvloose_vloose_vvvloose"
+            "medium_vloose_medium",
+            # "medium_vvvloose_medium",
+            # "vloose_vvvloose_medium",
+            "medium_vvvloose_medium_vvvloose"
+            # "vloose_vvvloose_vloose_vvvloose"
             ]
 
 types=["SS","OppS"]
 
-output_folder_name = "."
+version = "v2p5"
 
-chi2file = open('chi2test.txt','w')
+if DOCHI2: chi2file = open(output_folder_name+'chi2test.txt','w')
 
 selnames_array = np.expand_dims(np.array(selnames,dtype = object),axis=1)
 
 for var in variables:
-  chi2file.write("----------- %s ------------ \n"% var[0])
-  ChiList = []
-  ChiList_SS = []
+  if DOCHI2:
+    chi2file.write("----------- %s ------------ \n"% var[0])
+    ChiList = []
+    ChiList_SS = []
   for sel in selnames:
     for chargetype in types:
 #--------------------------------------------------------------------
-      filename = var[0]+"_inclusive_"+sel+"_tt_2018"
-      if chargetype == "SS":
-        file_w_qcdsub= R.TFile.Open(file_w_qcdsub_dirname+filename+"_ss.root", "READ")
-      else:
-        file_w_qcdsub= R.TFile.Open(file_w_qcdsub_dirname+filename+".root", "READ")
-      file_w_qcdsub_dir = file_w_qcdsub.Get("tt_inclusive")
-      (file_w_qcdsub_dir).cd()
-      hist_w_qcdsub = file_w_qcdsub_dir.Get("QCD")
-#--------------------------------------------------------------------
+      filename = "datacard_"+var[0]+"_inclusive_"+sel+"_trg_doubletau_"+version+"_tt_2018"
       if chargetype == "SS":
-        file_wo_qcdsub = R.TFile.Open(file_wo_qcdsub_dirname+filename+"_ss.root", "READ")
+        file= R.TFile.Open(infiles_dirname+filename+"_ss.root", "READ")
       else:
-        file_wo_qcdsub = R.TFile.Open(file_wo_qcdsub_dirname+filename+".root", "READ")
-      file_wo_qcdsub_dir = file_wo_qcdsub.Get("tt_inclusive")
-      (file_wo_qcdsub_dir).cd()
-      hist_wo_qcdsub = file_wo_qcdsub_dir.Get("QCD")
-#--------------------------------------------------------------------
-      sub_hist_w_qcdsub = file_w_qcdsub_dir.Get("data_obs")
-      tot_bkg_hist_w = file_w_qcdsub_dir.Get("total_bkg")
+        file= R.TFile.Open(infiles_dirname+filename+".root", "READ")
+      file_dir = file.Get("tt_inclusive")
+      (file_dir).cd()
+      if PLOTBYBIN:
+        hist_w_qcdsub_bybin = file_dir.Get("QCD_bybin")
+        hist_wo_qcdsub_bybin = file_dir.Get("QCD_bybin_nosub")
+        sub_hist_w_qcdsub_bybin = file_dir.Get("data_obs").Clone()
+        tot_bkg_hist_w = file_dir.Get("total_bkg")
+        sub_hist_w_qcdsub_bybin.Add(tot_bkg_hist_w,-1)
+        sub_hist_w_qcdsub_bybin.Add(hist_w_qcdsub_bybin)
+        
+      hist_w_qcdsub = file_dir.Get("QCD")
+      hist_wo_qcdsub = file_dir.Get("QCD_nosub")
+      
+      sub_hist_w_qcdsub = file_dir.Get("data_obs").Clone()
+      tot_bkg_hist_w = file_dir.Get("total_bkg")
       sub_hist_w_qcdsub.Add(tot_bkg_hist_w,-1)
       sub_hist_w_qcdsub.Add(hist_w_qcdsub)
 #--------------------------------------------------------------------
-      p = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW")
-      chi2 = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2")
-      chi2NDF = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2/NDF")
-      p_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW")
-      chi2_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2")
-      chi2NDF_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2/NDF")      
-      
-      if chargetype == "SS":
-        ChiList_SS.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
-      else:
-        ChiList.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
-#--------------------------------------------------------------------      
+      if DOCHI2:
+        p = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW")
+        chi2 = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2")
+        chi2NDF = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2/NDF")
+        p_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW")
+        chi2_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2")
+        chi2NDF_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2/NDF")      
+        
+        if chargetype == "SS":
+          ChiList_SS.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
+        else:
+          ChiList.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
+#--------------------------------------------------------------------
+      if PLOTBYBIN:     
+        output_file = R.TFile(output_folder_name+"/"+var[0]+"_"+sel+"_bybin_"+chargetype+".root","RECREATE")
+        plot_name = var[0]+"_"+sel+"_bybin_"+chargetype
+        if var[0] == "n_jets":
+          MyCompareHists(hists = [hist_w_qcdsub_bybin,hist_wo_qcdsub_bybin],
+                legend_titles = ["QCD - MC","Data Only"],
+                title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
+                x_title = var[1], y_title = "Events",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)
+        else:
+          MyCompareHists(hists = [hist_w_qcdsub_bybin,hist_wo_qcdsub_bybin],
+                legend_titles = ["QCD - MC","Data Only"],
+                title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
+                x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)        
       output_file = R.TFile(output_folder_name+"/"+var[0]+"_"+sel+"_"+chargetype+".root","RECREATE")
+      plot_name = var[0]+"_"+sel+"_"+chargetype
       if var[0] == "n_jets":
-        CompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub,sub_hist_w_qcdsub],
-              legend_titles = ["#splitline{Background}{Subtracted} (%s)"%chargetype,"Data Only ("+chargetype+")","OBS - Non-QCD ("+chargetype+")"],
-              title="59.7 fb^{-1} (13 TeV)", extra_pad=0.2,ratio_range="0.6,1.4",
-              x_title = var[1], y_title = "Events",plot_name = var[0]+"_"+sel+"_"+chargetype, output_file = output_file)
+        MyCompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub],
+              legend_titles = ["QCD - MC","Data Only"],
+              title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
+              x_title = var[1], y_title = "Events",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)
       else:
-        CompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub,sub_hist_w_qcdsub],
-              legend_titles = ["#splitline{Background}{Subtracted} (%s)"%chargetype,"Data Only ("+chargetype+")","OBS - Non-QCD ("+chargetype+")"],
-              title="59.7 fb^{-1} (13 TeV)", extra_pad=0.2,ratio_range="0.6,1.4",
-              x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name = var[0]+"_"+sel+"_"+chargetype, output_file = output_file)
+        MyCompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub],
+              legend_titles = ["QCD - MC","Data Only"],
+              title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
+              x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)
 
 #--------------------------------------------------------------------  
       output_file.Close()
-      file_w_qcdsub.Close()
-      file_wo_qcdsub.Close()
-#--------------------------------------------------------------------      
-  ChiList_SS = np.array(ChiList_SS,dtype = object)
-  ChiList = np.array(ChiList,dtype = object)
-  ChiList = np.concatenate((selnames_array,ChiList), axis=1)
-  ChiList_SS = np.concatenate((selnames_array,ChiList_SS), axis=1)
-  ChiList = ChiList[ChiList[:,3].argsort()]
-  ChiList_SS = ChiList_SS[ChiList_SS[:,3].argsort()]
-  chi2file.write("------------ OppS ------------ \n")
-  order = 1
-  for ChiVar in ChiList:
-    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
-                                                            ChiVar[2],ChiVar[3]))
-    order+=1
-  chi2file.write("------------- SS ------------ \n")
-  order = 1
-  for ChiVar in ChiList_SS:
-    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
-                                                            ChiVar[2],ChiVar[3]))    
-    order+=1
-    
-  chi2file.write("------------ Compared to BKG------------ \n")
-  ChiList = ChiList[ChiList[:,-1].argsort()]
-  ChiList_SS = ChiList_SS[ChiList_SS[:,-1].argsort()]
-  chi2file.write("------------ OppS ------------ \n")
-  order = 1
-  for ChiVar in ChiList:
-    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
-                                                            ChiVar[5],ChiVar[6]))  
-    order+=1
-  chi2file.write("------------- SS ------------ \n")
-  order = 1
-  for ChiVar in ChiList_SS:
-    chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
-                                                            ChiVar[5],ChiVar[6]))    
-    order+=1
+      file.Close()
+#--------------------------------------------------------------------
+  if DOCHI2:      
+    ChiList_SS = np.array(ChiList_SS,dtype = object)
+    ChiList = np.array(ChiList,dtype = object)
+    ChiList = np.concatenate((selnames_array,ChiList), axis=1)
+    ChiList_SS = np.concatenate((selnames_array,ChiList_SS), axis=1)
+    ChiList = ChiList[ChiList[:,3].argsort()]
+    ChiList_SS = ChiList_SS[ChiList_SS[:,3].argsort()]
+    chi2file.write("------------ OppS ------------ \n")
+    order = 1
+    for ChiVar in ChiList:
+      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
+                                                              ChiVar[2],ChiVar[3]))
+      order+=1
+    chi2file.write("------------- SS ------------ \n")
+    order = 1
+    for ChiVar in ChiList_SS:
+      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
+                                                              ChiVar[2],ChiVar[3]))    
+      order+=1
+      
+    chi2file.write("------------ Compared to BKG------------ \n")
+    ChiList = ChiList[ChiList[:,-1].argsort()]
+    ChiList_SS = ChiList_SS[ChiList_SS[:,-1].argsort()]
+    chi2file.write("------------ OppS ------------ \n")
+    order = 1
+    for ChiVar in ChiList:
+      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
+                                                              ChiVar[5],ChiVar[6]))  
+      order+=1
+    chi2file.write("------------- SS ------------ \n")
+    order = 1
+    for ChiVar in ChiList_SS:
+      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
+                                                              ChiVar[5],ChiVar[6]))    
+      order+=1
diff --git a/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py b/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
index 063fdf6b6..4347fc427 100644
--- a/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
+++ b/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
@@ -1,52 +1,72 @@
 import os
+import json
 
 variables = [
 
-  # 'n_jets(4,0,4)', 
-  #  'pt_1(20,0,200)',
-  #  'pt_2(20,0,200)',
-  #  'mt_1(30,0,300)',
-  #  'mt_2(30,0,300)',
-  # 'pt_tt(20,0,200)',
-   'm_vis(20,0,200)'
+   'n_jets(4,0,4)', 
+    'pt_1(20,0,200)',
+   'pt_2(20,0,200)',
+    'mt_1(30,0,300)',
+    'mt_2(30,0,300)',
+   'pt_tt(20,0,200)',
+  'm_vis(20,0,200)'
 ]
 
 #Selections in the control region (QCD)
 selnames = [
             ["medium_vloose_medium","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
-            ["medium_vvvloose_medium","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
-            ["vloose_vvvloose_medium","deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
+            # ["medium_vvvloose_medium","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
+            # ["vloose_vvvloose_medium","deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5"],
             ["medium_vloose_medium_vloose","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5"],
             ["medium_vvvloose_medium_vvvloose","deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vvvloose_2>0.5"],
-            ["vloose_vvvloose_vloose_vvvloose","deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_vloose_2<0.5 && deepTauVsJets_vvvloose_2>0.5"],
+            # ["vloose_vvvloose_vloose_vvvloose","deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_vloose_2<0.5 && deepTauVsJets_vvvloose_2>0.5"],
             ]
 
 DO_SS = True #produce same-sign files
 years = ["UL_2018"]#"UL_2018","2022"
-triggernames_2022 = ["trg_doubletau","trg_doubletau_plusjet60","trg_doubletau_plusjet75"]
+triggernames_2022 = [["trg_doubletau && pt_1>40 && pt_2>40","trg_doubletau"],["(trg_doubletau && pt_1>40 && pt_2>40) || ((trg_doubletau_plusjet60 || trg_doubletau_plusjet75) && trg60jet_pt>65)","trg_both"]]#pt>35 base cut
+versions = ["v2p5"] #"v2p1","v2p5"
+
+
+json_name= 'input/tau_SF_strings_dm_binned_mediumvsjet_vvloosevsele_split_fit.json'
+with open(json_name) as json_file:
+  sf_data = json.load(json_file)
+sf=sf_data['mediumvsjet_vvloosevsele']['2018']
+sf+='*%s' % sf.replace('_2','_1')
 
 for yr in years:
   for v in variables:
     v_tt = v
     for sel in selnames:
-      extra=' --ratio_range=\"0.6,1.4\" '
-      #extra += ' --tt_qcd_sel_num=%i'%sel
       if yr == "UL_2018":
-        triggernames = ["trg_doubletau"]
+        triggernames = [["trg_doubletau && pt_1>40 && pt_2>40","trg_doubletau"]]
+        add_cond = '--add_wt=\'%(sf)s*1/wt_tau_id_dm\'' % vars()#'--add_wt=\'wt_prefire*%(sf)s/wt_tau_id_dm*%(trg_sf)s\'' % vars()
       else:
         triggernames = triggernames_2022
+        add_cond = ''
         
       for trigname in triggernames:
-        extra+= ' --extra_name=%s_%s'%(sel[0],trigname)   
-        if v[0] != 'm':   
-          extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2 && m_vis<100)"'%trigname
-        else:
-          extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%trigname
-        
-        extra += ' --set_alias=tt_qcd_norm:"(%s && leptonveto==0 && (%s && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%(sel[1],trigname)
-        
-        os.system('python scripts/HiggsTauTauPlot.py %(extra)s --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
-        if DO_SS:
-          os.system('python scripts/HiggsTauTauPlot.py %(extra)s --do_ss --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
+        for version in versions:
+          extra=' --ratio_range=\"0.6,1.4\" '  
+          if v[0] != 'm':   
+            extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2 && m_vis<100)"'%trigname[0]
+            
+            extra += ' --set_alias=tt_qcd_norm:"(%s && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2 && m_vis<100)"'%(sel[1],trigname[0])
+          else:
+            extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%trigname[0]
+          
+            extra += ' --set_alias=tt_qcd_norm:"(%s && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%(sel[1],trigname[0])
+          
+          if version =="v2p5":
+            extra += ' --v2p5'
+            extra+= ' --extra_name=%s_%s_v2p5'%(sel[0],trigname[1])
+            os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
+            if DO_SS:
+              os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --do_ss --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )            
+          elif yr=="UL_2018":
+            extra+= ' --extra_name=%s_%s_v2p1'%(sel[0],trigname[1])
+            os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
+            if DO_SS:
+              os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --do_ss --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() ) 
     
 

From 37898185ecf30195c61008e8e44cb09c2c02612f Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 27 Jul 2023 13:48:26 +0100
Subject: [PATCH 29/50] Remove added tgz from test folder

---
 test/July0623_2022_filelists.tgz | Bin 2048000 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 test/July0623_2022_filelists.tgz

diff --git a/test/July0623_2022_filelists.tgz b/test/July0623_2022_filelists.tgz
deleted file mode 100644
index 1ffa62ff971040db564f021f3a498db518be17a8..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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From 135fcd2539184f5491c0004228a57cfd799b7065 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 27 Jul 2023 13:55:50 +0100
Subject: [PATCH 30/50] Adding file that compares Run2 and 3 data

---
 .../HiggsTauTauRun2/scripts/compare_Run2_3.py | 499 ++++++++++++++++++
 1 file changed, 499 insertions(+)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py

diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py b/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
new file mode 100644
index 000000000..75388d196
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
@@ -0,0 +1,499 @@
+import ROOT as R
+from UserCode.ICHiggsTauTau.plotting import *
+import numpy as np
+
+def MyCompareHists(hists=[],
+             legend_titles=[],
+             title="",
+             ratio=True,
+             log_y=False,
+             log_x=False,
+             ratio_range="0.7,1.3",
+             custom_x_range=False,
+             x_axis_max=4000,
+             x_axis_min=0,
+             custom_y_range=False,
+             y_axis_max=4000,
+             y_axis_min=0,
+             x_title="",
+             y_title="",
+             extra_pad=0,
+             norm_hists=False,
+             plot_name="plot",
+             label="",
+             norm_bins=True,
+             uncert_hist=None,
+             uncert_title='',
+             ReweightPlot=False,
+             output_file = None,
+             outputfolder = None,
+             integral_with_lowerlimit = None,
+             integral_with_upperlimit = None,
+             do_integral_stats=False):
+   
+    objects=[]
+    R.gROOT.SetBatch(R.kTRUE)
+    R.TH1.AddDirectory(False)
+    ModTDRStyle(r=0.04, l=0.14)
+
+    colourlist=[R.kBlue,R.kRed,R.kGreen+3,R.kBlack,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
+    if ReweightPlot:
+      colourlist=[R.kBlack,R.kBlue,R.kRed,R.kGreen+3,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
+
+    hs = R.THStack("hs","")
+    hist_count=0
+    legend_hists=[]
+    if isinstance(uncert_hist, (list,)):
+     for i in uncert_hist:
+       if i is None: continue 
+       if norm_bins and i is not None: i.Scale(1.0,"width")
+    else:
+      if norm_bins and uncert_hist is not None: uncert_hist.Scale(1.0,"width")
+
+    for hist in hists:
+        # print hist.GetName()
+        # for bin_ in range(1,hist.GetNbinsX()):
+        #     print hist.GetBinContent(bin_)
+        #     print np.sqrt(hist.GetBinContent(bin_))
+        if norm_hists: hist.Scale(1.0/hist.Integral(0, hist.GetNbinsX()+1))
+        if norm_bins: hist.Scale(1.0,"width")
+        h = hist.Clone()
+        objects.append(h)
+        h.SetFillColor(0)
+        h.SetLineWidth(3)
+        h.SetLineColor(colourlist[hist_count])
+        h.SetMarkerColor(colourlist[hist_count])
+        h.SetMarkerSize(0)
+        hs.Add(h)
+        hist_count+=1
+        o=h.Clone()
+        objects.append(o)
+        legend_hists.append(o)
+   # hs.Draw("nostack")
+        
+    c1 = R.TCanvas()
+    c1.cd()
+    
+    if ratio:
+        if ReweightPlot: pads=TwoPadSplit(0.39,0.01,0.01)
+        else: pads=TwoPadSplit(0.29,0.01,0.01)
+    else:
+        pads=OnePad()
+    pads[0].cd()
+    
+    if(log_y): pads[0].SetLogy(1)
+    if(log_x): pads[0].SetLogx(1)
+    if custom_x_range:
+        if x_axis_max > hists[0].GetXaxis().GetXmax(): x_axis_max = hists[0].GetXaxis().GetXmax()
+    if ratio:
+        if(log_x): pads[1].SetLogx(1)
+        axish = createAxisHists(2,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.01)
+        axish[1].GetXaxis().SetTitle(x_title)
+        axish[1].GetXaxis().SetLabelSize(0.03)
+        axish[1].GetYaxis().SetNdivisions(4)
+        axish[1].GetYaxis().SetTitle("Ratio")
+        #if ReweightPlot:
+        #  axish[1].GetYaxis().SetTitle("Correction")
+        axish[1].GetYaxis().SetTitleOffset(1.6)
+        axish[1].GetYaxis().SetTitleSize(0.04)
+        axish[1].GetYaxis().SetLabelSize(0.03)
+    
+        axish[0].GetXaxis().SetTitleSize(0)
+        axish[0].GetXaxis().SetLabelSize(0)
+        if custom_x_range:
+          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
+          axish[1].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
+        if custom_y_range:
+          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
+          axish[1].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
+    else:
+        axish = createAxisHists(1,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.005)
+        axish[0].GetXaxis().SetLabelSize(0.03)
+        axish[0].GetXaxis().SetTitle(x_title)
+        axish[0].GetXaxis().SetTitleSize(0.04)
+        if custom_x_range:
+          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
+        if custom_y_range:                                                                
+          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
+    axish[0].GetYaxis().SetTitle(y_title)
+    axish[0].GetYaxis().SetTitleOffset(1.6)
+    axish[0].GetYaxis().SetTitleSize(0.04)
+    axish[0].GetYaxis().SetLabelSize(0.03)
+
+    hs.Draw("nostack same")
+
+    uncert_hs = R.THStack()
+    if uncert_hist is not None:
+      if isinstance(uncert_hist, (list,)):
+         #col_list = [12,6,4,2,3,4]
+         col_list=colourlist
+         count = 0
+         for i in uncert_hist:
+           if i is not None:
+             i.SetFillColor(CreateTransparentColor(col_list[count],0.4))
+             i.SetLineColor(CreateTransparentColor(col_list[count],0.4))
+             i.SetMarkerSize(0)
+             i.SetMarkerColor(CreateTransparentColor(col_list[count],0.4))
+             i.SetFillStyle(1111)
+             uncert_hs.Add(i)
+           count+=1
+         uncert_hs.Draw("nostack e2same")  
+      else: 
+        uncert_hist.SetFillColor(CreateTransparentColor(12,0.4))
+        uncert_hist.SetLineColor(CreateTransparentColor(12,0.4))
+        uncert_hist.SetMarkerSize(0)
+        uncert_hist.SetMarkerColor(CreateTransparentColor(12,0.4))
+        uncert_hist.SetFillStyle(1111)
+        uncert_hs.Add(uncert_hist)
+        uncert_hs.Draw("e2same")
+
+      uncert_hs.Draw("nostack e2same")  
+    if not custom_y_range:
+        if(log_y):
+            if hs.GetMinimum("nostack") >0: axish[0].SetMinimum(hs.GetMinimum("nostack"))
+            else: axish[0].SetMinimum(0.0009)
+            axish[0].SetMaximum(10**((1+extra_pad)*(math.log10(1.1*hs.GetMaximum("nostack") - math.log10(axish[0].GetMinimum())))))
+        else:
+            maxi=1.1*(1+extra_pad)*max(hs.GetMaximum("nostack"),uncert_hs.GetMaximum("nostack"))
+            if not ReweightPlot: axish[0].SetMinimum(0)
+            else:
+              mini = None
+              maxi = None
+              for h in hists+uncert_hist:
+                if h is None: continue
+                for i in range(1,h.GetNbinsX()+1): 
+                  lo = h.GetBinContent(i)-h.GetBinError(i) 
+                  hi = h.GetBinContent(i)+h.GetBinError(i) 
+                  if mini is None:
+                    mini = min(lo,hi) 
+                    maxi = max(lo,hi) 
+                  else:
+                    mini = min(mini,lo,hi) 
+                    maxi = max(maxi,lo,hi) 
+              #mini = min(hs.GetMinimum("nostack"),uncert_hs.GetMinimum("nostack"))
+              mini-= abs(mini)*extra_pad
+              axish[0].SetMinimum(mini)
+              maxi*=(1.+extra_pad)
+            axish[0].SetMaximum(maxi)
+    axish[0].Draw()
+    uncert_hs.Draw("nostack e2same")  
+
+    hs.Draw("nostack hist same")
+    axish[0].Draw("axissame")
+    
+    
+    #Setup legend
+    tot = len(hists)
+    if isinstance(uncert_hist,list): tot+=len(uncert_hist)
+    legend = PositionedLegend(0.35,0.15,3,0.04)
+    legend.SetTextFont(42)
+    legend.SetTextSize(0.03)
+    legend.SetFillColor(0)
+    
+
+    for legi,hist in enumerate(legend_hists):
+        legend.AddEntry(hist,legend_titles[legi],"l")
+    if isinstance(uncert_hist, (list,)):
+     count=0
+     for i in uncert_hist:
+       if i is not None: legend.AddEntry(i,uncert_title[count],'f') 
+       count+=1
+    else:
+      if uncert_hist is not None and uncert_title: legend.AddEntry(uncert_hist,uncert_title,'f')
+    legend.Draw("same")
+    
+    #CMS label and title
+    FixTopRange(pads[0], axish[0].GetMaximum(), extra_pad if extra_pad>0 else 0.30)
+    DrawCMSLogo(pads[0], 'CMS', 'Preliminary', 11, 0.045, 0.05, 1.0, '', 1.0)
+    #DrawCMSLogo(pads[0], 'CMS', 'Simulation', 11, 0.045, 0.05, 1.0, '', 1.0)
+    DrawTitle(pads[0], title, 3)
+    
+    latex2 = R.TLatex()
+    latex2.SetNDC()
+    latex2.SetTextAngle(0)
+    latex2.SetTextColor(R.kBlack)
+    latex2.SetTextSize(0.028)
+    latex2.DrawLatex(0.145,0.955,label)
+    
+    #Add ratio plot if required
+    if ratio:
+        ratio_hs = R.THStack("ratio_hs","")
+        hist_count=0
+        pads[1].cd()
+        pads[1].SetGrid(0,1)
+        axish[1].Draw("axis")
+        axish[1].SetMinimum(float(ratio_range.split(',')[0]))
+        axish[1].SetMaximum(float(ratio_range.split(',')[1]))
+        div_hist = hists[0].Clone()
+        objects.append(div_hist)
+        
+        for i in range(0,div_hist.GetNbinsX()+2): div_hist.SetBinError(i,0)
+        first_hist=True
+        for hist in hists:
+            h = hist.Clone()
+            objects.append(h)
+
+            h.SetFillColor(0)
+            h.SetLineWidth(3)
+            h.SetLineColor(colourlist[hist_count])
+            h.SetMarkerColor(colourlist[hist_count])
+            h.SetMarkerSize(0)
+
+            h.Divide(div_hist)
+            if first_hist:
+               for i in range(1,h.GetNbinsX()+1): h.SetBinError(i,0.00001)
+               first_hist=False
+            o = h.Clone()
+            objects.append(o)
+            ratio_hs.Add(o)
+            hist_count+=1
+        if uncert_hist is not None:
+           if isinstance(uncert_hist, (list,)):
+             ratio_err_hs = R.THStack("ratio_err_hs","")
+             count=0
+             for i in uncert_hist:
+               if i is not None:
+                 h = i.Clone()
+                 objects.append(h)
+                 h.Divide(div_hist)
+                 ratio_err_hs.Add(h)
+                 h.Draw("e2same")
+               count+=1
+             #ratio_err_hs.Draw("nostack e2same")
+           else:
+             h = uncert_hist.Clone()
+             objects.append(h)
+             h.Divide(div_hist)
+             h.Draw("e2same") 
+        ratio_hs.Draw("nostack e same")  
+        pads[1].RedrawAxis("G")
+    pads[0].cd()
+    pads[0].GetFrame().Draw()
+    pads[0].RedrawAxis()
+    
+    if do_integral_stats:
+      legendstats = PositionedLegend(0.2,0.15,2,0.01)
+      legendstats.SetTextFont(42)
+      legendstats.SetTextSize(0.024)
+      legendstats.SetFillColor(0)
+      legendstats.SetHeader("Integrals")
+      
+
+      for legi,hist in enumerate(legend_hists):
+          legendstats.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(),
+                              (hist.Integral()/legend_hists[0].Integral())*100),"l")
+      if isinstance(uncert_hist, (list,)):
+        count=0
+      if uncert_hist is not None and uncert_title: legendstats.AddEntry(uncert_hist,uncert_title,'f')
+      legendstats.Draw("same")
+    
+    if type(integral_with_lowerlimit) is float or type(integral_with_lowerlimit) is int:
+      t = R.gPad.GetTopMargin()
+      r = R.gPad.GetRightMargin()
+      legendstatslim = R.TLegend(1 - r  - 0.2, 1 - t  - 0.2-0.2, 1 - r - 0.05, 1 - t -0.2, '', 'NBNDC')
+      legendstatslim.SetTextFont(42)
+      legendstatslim.SetTextSize(0.024)
+      legendstatslim.SetFillColor(0)
+      legendstatslim.SetHeader("Integrals >%.0fGeV"%integral_with_lowerlimit)
+      
+
+      for legi,hist in enumerate(legend_hists):
+          legendstatslim.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()),
+                              (hist.Integral(hist.FindBin(integral_with_lowerlimit),
+                                hist.GetNbinsX())/legend_hists[0].Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()))*100),"l")
+      legendstatslim.Draw("same")
+    if type(integral_with_upperlimit) is float or type(integral_with_upperlimit) is int:
+      t = R.gPad.GetTopMargin()
+      r = R.gPad.GetRightMargin()
+      legendstatslim = R.TLegend(1 - r  - 0.2, 1 - t  - 0.2-0.2, 1 - r - 0.05, 1 - t -0.2, '', 'NBNDC')
+      legendstatslim.SetTextFont(42)
+      legendstatslim.SetTextSize(0.024)
+      legendstatslim.SetFillColor(0)
+      legendstatslim.SetHeader("Integrals <%.0fGeV"%integral_with_upperlimit)
+      
+
+      for legi,hist in enumerate(legend_hists):
+          legendstatslim.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(1,hist.FindBin(integral_with_upperlimit)),
+                              (hist.Integral(1,hist.FindBin(integral_with_upperlimit))/legend_hists[0].Integral(1,hist.FindBin(integral_with_upperlimit)))*100),"l")
+      legendstatslim.Draw("same")          
+    
+    c1.SaveAs(outputfolder+plot_name+'.png')
+    #c1.SaveAs(outputfolder+plot_name+'.pdf')
+    if output_file is not None:
+        output_file.WriteObject(c1, plot_name)
+    for o in objects:
+        o.IsA().Destructor(o)
+    c1.Close()
+
+USEBYBIN = True
+LUMI22 = 38.2
+LUMI18 = 59.7
+DO_RATIO = True
+file18_dirname = "output_2018_all/"
+file22_dirname = "output_2022/"
+
+output_folder_name = "output_2018vs2022/"
+
+
+variables = [
+  
+  ["n_jets","N_{jets}"],
+  # ["pt_1","p_{T}^{#tau_{1}}"],
+  # ["pt_2", "p_{T}^{#tau_{2}}"],
+  # ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
+  # ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
+  ["pt_tt", "p_{T}^{#tau#tau}"],
+  ["m_vis","m_{#tau#tau}"]
+
+]
+
+selname = "medium_vloose_medium_vloose"
+types=["OppS","SS"]
+
+for var in variables:
+  for chargetype in types:
+      
+#--------------------------------------------------------------------
+#Reading files and creating histograms - 2018
+        
+    file18names,files18,file18_dirs,hists18QCD,hists18Data,hists18Diff = [],[],[],[],[],[]
+    versions= ["v2p1","v2p5"]
+    for version in versions:
+      if chargetype == "SS":
+        file18names.append("datacard_" + var[0] + "_inclusive_" + selname +"_trg_doubletau_"+version+"_tt_2018_ss.root")
+      else:
+        file18names.append( "datacard_" + var[0] + "_inclusive_" + selname +"_trg_doubletau_"+version+ "_tt_2018.root")
+    
+    for f in file18names: files18.append( R.TFile.Open(file18_dirname + f, "READ"))
+    for f in files18: file18_dirs.append(f.Get("tt_inclusive"))
+    for f in file18_dirs: 
+      f.cd()
+      if USEBYBIN:
+        hists18QCD.append( f.Get("QCD_bybin_nosub").Clone())
+      else:
+        hists18QCD.append( f.Get("QCD_nosub").Clone())
+      
+      hists18Data.append(f.Get("data_obs").Clone())
+      hists18Diff.append(f.Get("data_obs").Clone())
+      hists18Diff[-1].SetName("DATA_minus_QCD")
+      hists18Diff[-1].Add(hists18Data[-1],hists18QCD[-1],1,-1)
+     
+    uncertQCD = hists18QCD[0].Clone()
+    for bin_i in range(1,uncertQCD.GetNbinsX()+1):
+      error = uncertQCD.GetBinContent(bin_i)
+      error = error*0.1
+      uncertQCD.SetBinError(bin_i,error)
+      
+    uncertDiff = hists18Diff[0].Clone()
+    for bin_i in range(1,uncertDiff.GetNbinsX()+1):
+      content = uncertDiff.GetBinContent(bin_i)
+      uncertDiff.SetBinContent(bin_i,content)
+      error = uncertQCD.GetBinContent(bin_i)*0.1
+      uncertDiff.SetBinError(bin_i,error)
+
+    
+    SBstatHist18 = []
+    for hist_i in range(0,len(hists18Data)):
+      SBstatHist18.append(hists18QCD[hist_i].Clone())
+      for i_bin in range(1,SBstatHist18[-1].GetNbinsX()+1):
+        if SBstatHist18[-1].GetBinContent(i_bin)<=0:
+          SBstatHist18[-1].SetBinContent(i_bin, 0)
+          SBstatHist18[-1].SetBinError(i_bin,0)
+        else:
+          SBstatHist18[-1].SetBinContent(i_bin, np.sqrt(SBstatHist18[-1].GetBinContent(i_bin)))
+          SBstatHist18[-1].SetBinError(i_bin,SBstatHist18[-1].GetBinError(i_bin)/(2*np.sqrt(SBstatHist18[-1].GetBinContent(i_bin)))) 
+          SBstatHist18[-1].Divide(hists18Data[hist_i],SBstatHist18[-1],1,1)    
+#--------------------------------------------------------------------
+#Reading files and creating histograms - 2022
+
+    file22names,files22,file22_dirs,hists22QCD,hists22Data,hists22Diff = [],[],[],[],[],[]
+    trignames = ["trg_doubletau","trg_both"]
+    for trig in trignames:
+      if chargetype == "SS":
+        file22names.append("datacard_" + var[0] + "_inclusive_" + selname +"_"+trig+ "_v2p5_tt_2022_ss.root")
+      else:
+        file22names.append( "datacard_" + var[0] + "_inclusive_" + selname+"_"+trig + "_v2p5_tt_2022.root")
+    
+    for f in file22names: files22.append( R.TFile.Open(file22_dirname + f, "READ"))
+    for f in files22: file22_dirs.append(f.Get("tt_inclusive"))
+    for f in file22_dirs: 
+      f.cd()
+      if USEBYBIN:
+        hists22QCD.append( f.Get("QCD_bybin_nosub").Clone())
+      else:
+        hists22QCD.append( f.Get("QCD_nosub").Clone())
+      
+      hists22Data.append(f.Get("data_obs").Clone())
+      hists22QCD[-1].Scale(LUMI18/LUMI22)
+      hists22Data[-1].Scale(LUMI18/LUMI22)
+      
+      hists22Diff.append(f.Get("data_obs").Clone())
+      hists22Diff[-1].SetName("DATA_minus_QCD")
+      hists22Diff[-1].Add(hists22Data[-1],hists22QCD[-1],1,-1)
+    
+    SBstatHist22 = []
+    for hist_i in range(0,len(hists22Data)):
+      SBstatHist22.append(hists22QCD[hist_i].Clone())
+      for i_bin in range(1,SBstatHist22[-1].GetNbinsX()+1):
+        if SBstatHist22[-1].GetBinContent(i_bin)<=0:
+          SBstatHist22[-1].SetBinContent(i_bin, 0)
+          SBstatHist22[-1].SetBinError(i_bin,0)
+        else:
+          SBstatHist22[-1].SetBinContent(i_bin, np.sqrt(SBstatHist22[-1].GetBinContent(i_bin)))
+          SBstatHist22[-1].SetBinError(i_bin,SBstatHist22[-1].GetBinError(i_bin)/(2*np.sqrt(SBstatHist22[-1].GetBinContent(i_bin)))) 
+          SBstatHist22[-1].Divide(hists22Data[hist_i],SBstatHist22[-1],1,1)
+
+#--------------------------------------------------------------------
+#Outputfile
+    output = R.TFile(output_folder_name+"/"+var[0]+"_"+selname+"_"+chargetype+".root","RECREATE")
+    
+#--------------------------------------------------------------------    
+    for histtype in [[hists18Data,hists22Data,"Data",None],[hists18QCD,hists22QCD,"QCD",uncertQCD],
+                 [hists18Diff,hists22Diff,"nonQCD",uncertDiff]]:
+      # legend_titles = ["2018 %s (%s)"%(histtype[2],chargetype)] + [
+      #   "#splitline{Scaled 2022 %s}{%s (%s)}"%(histtype[2],trig,chargetype) for trig in ["doubletau trig","all trigs"]
+      # ]
+      legend_titles = ["2018 %s"%(ver) for ver in versions] + [
+        "2022 %s"%(trig) for trig in ["doubletau","doubletau+jet"]
+      ]      
+      if var[0] == "n_jets":
+        MyCompareHists(hists = histtype[0]+histtype[1],
+                legend_titles = legend_titles,
+                title="%s (%s) 59.7 fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign")), extra_pad=0,ratio_range="0.5,1.5",
+                x_title = var[1], y_title = "Events",plot_name =
+                var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
+                outputfolder=output_folder_name,uncert_hist=histtype[3],
+                uncert_title=
+                ("Systematic Error" if histtype[3] is not None else ''))
+      elif var[0] == "pt_tt":
+        MyCompareHists(hists = histtype[0]+histtype[1],
+                legend_titles = legend_titles,
+                title="%s (%s) 59.7 fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign")), extra_pad=0,ratio_range="0.3,1.5",
+                x_title = var[1], y_title = "Events",plot_name =
+                var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
+                outputfolder=output_folder_name, integral_with_lowerlimit=None,uncert_hist=histtype[3],uncert_title=
+                ("Systematic Error" if histtype[3] is not None else ''))        
+      else:
+        MyCompareHists(hists = histtype[0]+histtype[1],
+                legend_titles = legend_titles,
+                title="%s (%s) 59.7 fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign")), extra_pad=0,ratio_range="0.5,1.5",
+                x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =
+                var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
+                outputfolder=output_folder_name,uncert_hist=histtype[3], uncert_title=
+                ("Systematic Error" if histtype[3] is not None else ''),integral_with_upperlimit=None)
+#title="59.7 fb^{-1} (13 TeV)"        
+#-------------------------------------------------------------------- 
+    # legend_titles = ["2018 S/#sqrt{B} (%s)"%chargetype] + [
+    #   "#splitline{2022 S/#sqrt{B} (%s)}{%s}"%(chargetype,trig) for trig in ["doubletau trig","all trigs"]
+    # ]
+    MyCompareHists(hists = SBstatHist18+SBstatHist22,
+                legend_titles = legend_titles,
+                title="S/#sqrt{B} %s (%s)"%(histtype[2],chargetype), extra_pad=0,ratio_range="0.5,2.5",
+                x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =
+                var[0]+"_"+selname+"_"+chargetype, output_file = output, ratio = True, outputfolder=output_folder_name)
+
+        
+#--------------------------------------------------------------------        
+    for f in files18: f.Close()
+    for f in files22: f.Close()
+

From c0dd828eb40a57eb116d1b76c1a910f3126e2103 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Fri, 4 Aug 2023 13:28:05 +0100
Subject: [PATCH 31/50] TnP 2022

---
 Analysis/HiggsTauTauRun2/scripts/TnP.py | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP.py b/Analysis/HiggsTauTauRun2/scripts/TnP.py
index 270e82f0f..cef8e6acc 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP.py
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP.py
@@ -973,6 +973,8 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
         data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF']
     elif options.era == 'UL_18':
         data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
+    elif options.era == '22_preEE':
+        data_samples = ['SingleMuonA_rereco_preEE','SingleMuonB_rereco_preEE','SingleMuonC_rereco_preEE','MuonD_rereco_preEE']        
     
 if  options.channel == 'tpzee': 
     if options.era == 'UL_16preVFP': data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
@@ -996,6 +998,7 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
 elif options.era == 'UL_16postVFP': ztt_samples = ['DYJetsToLL-LO']
 elif options.era == 'UL_17':  ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1']
 elif options.era == 'UL_18': ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1']
+elif options.era == '22_preEE': ztt_samples = ['DYJetsToLL-LO_summer_preEE']
 
 #Formula:  abs(eta_2),pt_2,m_vis[0,0.1,0.3,0.8,1.0,1.2,1.6,1.8,2.1,2.4],[10,15,17,19,21,23,24,25,26,27,28,31,34,37,40,45,50,60,70,100,1000],(40,70,110) (wt)*((m_vis>50&&m_vis<150&&pt_1>28&&abs(eta_1)<2.1&&iso_1<0.15&&id_tag_1&&trg_tag_1&&os)*(1&&id_probe_1))*(os)*(1)*(!(trg_probe_2))
 ROOT.TH1.SetDefaultSumw2(True)
@@ -1093,7 +1096,9 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
     ana.nodes.AddNode(ListNode(nodename))
     
     ana.remaps = {}
-    if options.channel =='tpzmm': ana.remaps['SingleMuon'] = 'data_obs'
+    if options.channel =='tpzmm': 
+      ana.remaps['SingleMuon'] = 'data_obs'
+      #ana.remaps['Muon'] = 'data_obs'
     elif options.channel == 'tpzee':
         if options.era in ['UL_18']: ana.remaps['EGamma'] = 'data_obs'
         else: ana.remaps['SingleElectron'] = 'data_obs'
@@ -1104,7 +1109,7 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
     
     # Add all MC background files
     for sample_name in ztt_samples:
-    	ana.AddSamples(options.folder+'/'+sample_name+'_'+options.channel+'*.root', options.tree_name, None, sample_name)
+      ana.AddSamples(options.folder+'/'+sample_name+'_'+options.channel+'*.root', options.tree_name, None, sample_name)
 
     if options.embedded:
       # Add all embedded files

From c536d79b152b1bb3520ff2dbfa7c0a969e42edf9 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Mon, 7 Aug 2023 10:50:43 +0100
Subject: [PATCH 32/50] Update HTT src

---
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc | 137 +++++++++++++++++++-
 Analysis/HiggsTauTauRun2/test/HTT.cpp       |   4 +-
 2 files changed, 136 insertions(+), 5 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index f506a49ea..693cb18eb 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -383,7 +383,7 @@ void HTTSequence::BuildSequence(){
   if ((era_type == era::data_2018 || era_type == era::data_2018UL))
       data_json = "input/json/Cert_314472-325175_13TeV_Legacy2018_Collisions18_JSON.txt";
   if ((era_type == era::data_2022_preEE || era_type == era::data_2022_postEE))
-      data_json = "input/json/Cert_Collisions2022_355100_362760_Golden.json";   
+      data_json = "input/json/Cert_Collisions2022_355100_362760_Golden_lumicorr.json"; //359571 and 359661 removed https://twiki.cern.ch/twiki/bin/view/CMS/LumiRecommendationsRun3  
 
  if(js["get_effective"].asBool() && js["make_sync_ntuple"].asBool()){
    std::cerr<< "Error: cannot run effective number of event module in make_syncntuple mode"<<std::endl;
@@ -1398,8 +1398,7 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
   if(channel == channel::tpzmm){  
     std::function<bool(Muon const*)> muon_probe_id;
     
-    if(era_type == era::data_2017 || era_type == era::data_2017UL || era_type == era::data_2018 || era_type == era::data_2018UL
-    || era_type == era::data_2022_preEE || era_type == era::data_2022_postEE){
+    if(era_type == era::data_2017 || era_type == era::data_2017UL || era_type == era::data_2018 || era_type == era::data_2018UL){
 
         muon_probe_id = [](Muon const* m) {return MuonMedium(m); };
         std::function<bool(Muon const*)> MuonLooseID = [](Muon const* m) { return MuonLoose(m) && m->is_global(); }; 
@@ -1531,6 +1530,138 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_do_dzmass(true)
         );
          
+    }else if(era_type == era::data_2022_postEE || era_type == era::data_2022_preEE){
+
+        muon_probe_id = [](Muon const* m) {return MuonMedium(m); };
+        std::function<bool(Muon const*)> MuonLooseID = [](Muon const* m) { return MuonLoose(m) && m->is_global(); }; 
+        // low pT mu leg of e+mu trigger
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_EMLow")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_id(muon_probe_id)
+          .set_tag_id(muon_probe_id) 
+          .set_probe_trg_objects("triggerObjectsMu17Mu8")
+          .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4")
+          .set_extra_hlt_probe_pt(8.)
+          .set_extra_l1_probe_pt(5.)
+          .set_add_name("_em_low")
+        );
+        // high pT mu leg of e+mu trigger
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_EMHigh")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_id(muon_probe_id)
+          .set_tag_id(muon_probe_id)
+          .set_probe_trg_objects("triggerObjectsMu17Mu8")
+          .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4")
+          .set_extra_hlt_probe_pt(23.)
+          .set_extra_l1_probe_pt(20.)
+          .set_add_name("_em_high")
+        );
+        // mu leg of mu+tau cross trigger for runs C-F
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_MT_CtoF")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_id(muon_probe_id)
+          .set_tag_id(muon_probe_id)
+          .set_probe_trg_objects("triggerObjectsDoubleMu20")
+          .set_probe_trg_filters("hltL3crIsoL1sDoubleMu18erL1f0L2f10QL3f20QL3trkIsoFiltered0p07")
+          .set_add_name("_mt_c_to_f")
+        );
+        // mu leg of mu+tau cross trigger for run B
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_MT_B")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_id(muon_probe_id)
+          .set_tag_id(muon_probe_id)
+          .set_probe_trg_objects("triggerObjectsIsoMu20Tau27")
+          .set_probe_trg_filters("hltL3crIsoL1sMu18erTau24erIorMu20erTau24erL1f0L2f10QL3f20QL3trkIsoFiltered0p07")
+          .set_do_extra(true)
+          .set_add_name("_mt_b")
+        );
+        // single muons trigger measurment
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_single")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered")
+          .set_probe_id(muon_probe_id)
+          .set_tag_id(muon_probe_id)
+          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
+          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered")  
+        );
+        // low pT leg of dimuon trigger used for embedded selection
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_DiMuLow")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_id(MuonLooseID)
+          .set_tag_id(muon_probe_id)
+          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
+          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_add_name("_dimu_low")
+          .set_probe_trg_objects("triggerObjectsMu17Mu8DZ,triggerObjectsMu17Mu8DZmass8,triggerObjectsMu17Mu8")
+          .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4")
+          .set_extra_hlt_probe_pt(8.)
+
+        );
+        // high pT leg of dimuon trigger used for embedded selection
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_DiMuhigh")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_id(MuonLooseID)
+          .set_tag_id(muon_probe_id)
+          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
+          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_add_name("_dimu_high")
+          .set_probe_trg_objects("triggerObjectsMu17Mu8DZ,triggerObjectsMu17Mu8DZmass8")
+          .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4")
+          .set_extra_hlt_probe_pt(17.)
+        );
+        // use to measure DZ filter efficiency for embedded selection selection
+        BuildModule(TagAndProbe<Muon const*>("TagAndProbe_DiMuDZ")
+          .set_fs(fs.get())
+          .set_channel(channel)
+          .set_strategy(strategy_type)
+          .set_ditau_label("ditau")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")
+          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_id(MuonLooseID)
+          .set_tag_id(MuonLooseID)
+          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
+          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_add_name("_dimu_dz")
+          .set_probe_trg_objects("triggerObjectsMu17Mu8DZ,triggerObjectsMu17Mu8DZmass8,triggerObjectsMu17Mu8")
+          .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4")
+          .set_extra_hlt_probe_pt(8.)
+          .set_do_dzmass(true)
+        );
+         
     } else {
       muon_probe_id = [](Muon const* m) {return MuonMedium(m); };
       std::function<bool(Muon const*)> MuonLooseID = [](Muon const* m) { return MuonLoose(m) && m->is_global(); };
diff --git a/Analysis/HiggsTauTauRun2/test/HTT.cpp b/Analysis/HiggsTauTauRun2/test/HTT.cpp
index a6315804b..1debda258 100644
--- a/Analysis/HiggsTauTauRun2/test/HTT.cpp
+++ b/Analysis/HiggsTauTauRun2/test/HTT.cpp
@@ -132,9 +132,9 @@ int main(int argc, char* argv[]) {
                 (channel_str.find("tt") != channel_str.npos &&
                  output_name.find("Tau") == output_name.npos) ||
                 (channel_str.find("zmm") != channel_str.npos &&
-                 output_name.find("SingleMuon") == output_name.npos ) ||
+                 output_name.find("Muon") == output_name.npos ) ||
                 (channel_str.find("tpzmm") != channel_str.npos &&
-                 output_name.find("SingleMuon") == output_name.npos ) ||
+                output_name.find("Muon") == output_name.npos ) ||
                 (channel_str.find("zee") != channel_str.npos &&
                  !(output_name.find("SingleEle") != output_name.npos ||
                   output_name.find("EGamma") != output_name.npos )) ||

From 51ba76ca710889c8f7260a10f18a5cc96653c0d6 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 8 Aug 2023 10:06:11 +0100
Subject: [PATCH 33/50] Update files for creating 2022 scale factors

---
 .../scripts/create_ntrueindist.py             | 18 ++++-----
 .../scripts/hadd_22_preEE_output.py           | 14 +++++++
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc   | 39 ++++++++++---------
 python/plotting.py                            |  5 ++-
 test/get_filelists.sh                         |  2 +-
 5 files changed, 47 insertions(+), 31 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/create_ntrueindist.py b/Analysis/HiggsTauTauRun2/scripts/create_ntrueindist.py
index 31a16049c..b5e27fe56 100644
--- a/Analysis/HiggsTauTauRun2/scripts/create_ntrueindist.py
+++ b/Analysis/HiggsTauTauRun2/scripts/create_ntrueindist.py
@@ -12,15 +12,14 @@ def load_files(filelist):
          file_names = [os.path.splitext(os.path.basename(file))[0] for file in files]
     return file_names
 
-year = "2016"
-split = "post"
-files = ["DYJetsToLL-LO"]
-channels = ["mt"]
+year = "2022"
+files = ["DYJetsToLL-LO_postEE_postEE"]
+channels = ["tt"]
 
 for file_ in files:
     for path in glob.glob(sys.argv[1]):
-        print path
-        hist = ROOT.TH1D("pileup", ";PileUp_nTrueInt", 99, 0., 99.) # for 2017UL
+        print(path)
+        hist = ROOT.TH1D("pileup", ";PileUp_nTrueInt", 100, 0., 100.) # for 2017UL
         chain = ROOT.TChain("gen_ntuple")
         for channel in channels:
             chain.AddFile("{}/{}_{}_{}.root".format(path,file_,channel,year))
@@ -30,9 +29,10 @@ def load_files(filelist):
         if not os.path.exists(os.path.join(path, "pileupDistribution")):
             os.makedirs(os.path.join(path, "pileupDistribution"))
 
-        if year == "2016" and split == "pre":  new_file = ROOT.TFile.Open(os.path.join(path, "pileupDistribution/pileup_{}_preVFP_{}.root".format(year,file_)), "RECREATE")
-        elif year == "2016" and split == "post": new_file = ROOT.TFile.Open(os.path.join(path, "pileupDistribution/pileup_{}_postVFP_{}.root".format(year,file_)), "RECREATE")
-        else: new_file = ROOT.TFile.Open(os.path.join(path, "pileupDistribution/pileup_{}_{}.root".format(year,file_)), "RECREATE")
+        # if year == "2016" and split == "pre":  new_file = ROOT.TFile.Open(os.path.join(path, "pileupDistribution/pileup_{}_preEE_{}.root".format(year,file_)), "RECREATE")
+        # elif year == "2016" and split == "post": new_file = ROOT.TFile.Open(os.path.join(path, "pileupDistribution/pileup_{}_postEE_{}.root".format(year,file_)), "RECREATE")
+        # else: new_file = ROOT.TFile.Open(os.path.join(path, "pileupDistribution/pileup_{}_{}.root".format(year,file_)), "RECREATE")
+        new_file = ROOT.TFile.Open(os.path.join(path, "pileupDistribution/pileup_{}_{}.root".format(year,file_)), "RECREATE")
 
 
         hist.SetDirectory(new_file)
diff --git a/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py b/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
index aa4a492ae..5d5bb5ae3 100755
--- a/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
+++ b/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
@@ -55,6 +55,20 @@ def list_paths(path):
          'TauF_postEE',
          'TauG_postEE',
          
+         #Muon
+         
+         'SingleMuonA_rereco_preEE',
+         'SingleMuonB_rereco_preEE',
+         'SingleMuonC_rereco_preEE',
+         'SingleMuonA_preEE',
+         'SingleMuonB_preEE',
+         'SingleMuonC_preEE',
+         'MuonD_rereco_preEE',
+         'MuonD_preEE',
+         'MuonC_preEE',
+         'MuonC_rereco_preEE',
+         
+         
          #MC postEE
          
          'DYJetsToLL-LO_postEE_postEE',
diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index 693cb18eb..54cf46476 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -1395,7 +1395,7 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
   
 } // end of loop over jet met uncertainties
 
-  if(channel == channel::tpzmm){  
+  if(channel == channel::tpzmm){   
     std::function<bool(Muon const*)> muon_probe_id;
     
     if(era_type == era::data_2017 || era_type == era::data_2017UL || era_type == era::data_2018 || era_type == era::data_2018UL){
@@ -1531,7 +1531,8 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
         );
          
     }else if(era_type == era::data_2022_postEE || era_type == era::data_2022_preEE){
-
+        std::string isoMu24FilterName = (era_type == era::data_2022_postEE) ?
+         "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered" : "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08";
         muon_probe_id = [](Muon const* m) {return MuonMedium(m); };
         std::function<bool(Muon const*)> MuonLooseID = [](Muon const* m) { return MuonLoose(m) && m->is_global(); }; 
         // low pT mu leg of e+mu trigger
@@ -1541,7 +1542,7 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
           .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(muon_probe_id)
           .set_tag_id(muon_probe_id) 
           .set_probe_trg_objects("triggerObjectsMu17Mu8")
@@ -1557,7 +1558,7 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
           .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(muon_probe_id)
           .set_tag_id(muon_probe_id)
           .set_probe_trg_objects("triggerObjectsMu17Mu8")
@@ -1573,7 +1574,7 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
           .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(muon_probe_id)
           .set_tag_id(muon_probe_id)
           .set_probe_trg_objects("triggerObjectsDoubleMu20")
@@ -1587,7 +1588,7 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
           .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(muon_probe_id)
           .set_tag_id(muon_probe_id)
           .set_probe_trg_objects("triggerObjectsIsoMu20Tau27")
@@ -1601,12 +1602,12 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_channel(channel)
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
-          .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered")
+          .set_tag_trg_objects("triggerObjectsIsoMu24")                
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(muon_probe_id)
           .set_tag_id(muon_probe_id)
-          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
-          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered")  
+          .set_probe_trg_objects("triggerObjectsIsoMu24")
+          .set_probe_trg_filters(isoMu24FilterName)  
         );
         // low pT leg of dimuon trigger used for embedded selection
         BuildModule(TagAndProbe<Muon const*>("TagAndProbe_DiMuLow")
@@ -1615,11 +1616,11 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
           .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(MuonLooseID)
           .set_tag_id(muon_probe_id)
-          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
-          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_trg_objects("triggerObjectsIsoMu24")
+          .set_probe_trg_filters(isoMu24FilterName)
           .set_add_name("_dimu_low")
           .set_probe_trg_objects("triggerObjectsMu17Mu8DZ,triggerObjectsMu17Mu8DZmass8,triggerObjectsMu17Mu8")
           .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4")
@@ -1633,11 +1634,11 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
           .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(MuonLooseID)
           .set_tag_id(muon_probe_id)
-          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
-          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_trg_objects("triggerObjectsIsoMu24")
+          .set_probe_trg_filters(isoMu24FilterName)
           .set_add_name("_dimu_high")
           .set_probe_trg_objects("triggerObjectsMu17Mu8DZ,triggerObjectsMu17Mu8DZmass8")
           .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4")
@@ -1650,11 +1651,11 @@ for (unsigned i=0; i<jet_met_uncerts.size(); ++i) {
           .set_strategy(strategy_type)
           .set_ditau_label("ditau")
           .set_tag_trg_objects("triggerObjectsIsoMu24")
-          .set_tag_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_tag_trg_filters(isoMu24FilterName)
           .set_probe_id(MuonLooseID)
           .set_tag_id(MuonLooseID)
-          .set_probe_trg_objects("triggerObjectsIsoMu24,triggerObjectsIsoMu24")
-          .set_probe_trg_filters("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07,hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07")
+          .set_probe_trg_objects("triggerObjectsIsoMu24")
+          .set_probe_trg_filters(isoMu24FilterName)
           .set_add_name("_dimu_dz")
           .set_probe_trg_objects("triggerObjectsMu17Mu8DZ,triggerObjectsMu17Mu8DZmass8,triggerObjectsMu17Mu8")
           .set_probe_trg_filters("hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4,hltDiMuon178RelTrkIsoFiltered0p4")
diff --git a/python/plotting.py b/python/plotting.py
index a73fc5884..1ff23f17b 100644
--- a/python/plotting.py
+++ b/python/plotting.py
@@ -3999,8 +3999,9 @@ def TagAndProbePlot(graphs=[],
     pads[0].RedrawAxis()
     
     c1.SaveAs(plot_name+'.pdf')
-    #c1.SaveAs(plot_name+'.png')    
-    del c1    
+    c1.SaveAs(plot_name+'.png')    
+    #del c1    
+    c1.Close()
 def HTTPlotUnrolled(nodename, 
             infile=None, 
             signal_scale=1, 
diff --git a/test/get_filelists.sh b/test/get_filelists.sh
index 1874e843b..aa0f6ebae 100755
--- a/test/get_filelists.sh
+++ b/test/get_filelists.sh
@@ -10,7 +10,7 @@ for i in "${targets[@]}"; do
   for j in "${names[@]}"; do
     name=$(echo $j | cut -d"/" -f6-| cut -d"_" -f2-)
     type="MC"
-    if [[ $name == "Tau"* || "$name" == "MuonEG"* || "$name" == "SingleElectron"* || "$name" == "SingleMuon"* || "$name" == "EGamma"* ]]; then
+    if [[ $name == "Tau"* || "$name" == "MuonEG"* || "$name" == "SingleElectron"* || "$name" == "SingleMuon"* || "$name" == "Muon"* || "$name" == "DoubleMuon"* || "$name" == "EGamma"* ]]; then
       type="Data"
     fi
     if [ "$samples" ]; then 

From 08d782d132c10a2b16124eb58091913c96eab17f Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 22 Aug 2023 11:30:48 +0100
Subject: [PATCH 34/50] Tnp and Zpt update

---
 Analysis/HiggsTauTauRun2/scripts/TnP_SF.py    | 97 +++++++++---------
 .../scripts/hadd_22_postEE_output.py          | 43 ++++----
 .../scripts/hadd_22_preEE_output.py           | 27 +++--
 .../scripts/zpt_control_plots.py              | 60 +++++++++++
 .../HiggsTauTauRun2/scripts/zpt_plot_2022.cfg | 18 ++++
 .../HiggsTauTauRun2/scripts/zpt_reweighting.C | 99 ++++---------------
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc   | 53 ++++++----
 .../HiggsTauTauRun2/src/HTTTriggerFilter.cc   | 45 ++++++++-
 Analysis/HiggsTauTauRun2/src/HTTWeights.cc    | 30 +++++-
 Analysis/HiggsTauTauRun2/test/HTT.cpp         |  2 +-
 10 files changed, 291 insertions(+), 183 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/zpt_plot_2022.cfg

diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py b/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py
index 2ec4a7514..4342f061e 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py
@@ -2,6 +2,7 @@
 import UserCode.ICHiggsTauTau.plotting as plotting
 import argparse
 import os
+import ConfigParser
 ROOT.gROOT.SetBatch(ROOT.kTRUE)
 
 conf_parser = argparse.ArgumentParser(
@@ -16,9 +17,9 @@
 defaults = {
     "channel":"tpzmm" ,
     "year":"2018",
-    "input_folder":"",
-    "embed": False,
-    "run_systs" : False,
+    "input_folder":"/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/TnP_Plots",
+    "embed":False,
+    "run_systs":False,
     }
 
 if options.cfg:
@@ -29,9 +30,10 @@
 parser = argparse.ArgumentParser(
     parents=[conf_parser]
     )
-parser.add_argument('--channel',type = str, help= 'Name of channel')
+parser.set_defaults(**defaults)
+parser.add_argument('--channel',dest="channel",type = str, help= 'Name of channel')
 parser.add_argument("--year", dest="year", type=str, help="Year input")
-parser.add_argument("--input_folder", help = 'Name of the input folder')
+parser.add_argument("--input_folder",dest="input_folder",type = str, help = 'Name of the input folder')
 parser.add_argument("--embed", dest="embed", action='store_true')
 parser.add_argument("--run_systs", dest="run_systs", action='store_true')
 options = parser.parse_args(remaining_argv)
@@ -43,13 +45,15 @@
 if channel == "tpzee": file_name = "electron"
 
 # Open the source and destination root files
-f_nom = ROOT.TFile.Open("{}/{}/{}/{}_nom.root".format(input_folder,year,channel,file_name))
+f_nom = ROOT.TFile.Open("{}/{}_nom.root".format(input_folder,file_name,channel))
 if options.run_systs:
-   f_sig = ROOT.TFile.Open("{}/{}/{}/{}_sig.root".format(input_folder,year,channel,file_name))
-   f_bkg = ROOT.TFile.Open("{}/{}/{}/{}_bkg.root".format(input_folder,year,channel,file_name))
-   f_tag = ROOT.TFile.Open("{}/{}/{}/{}_tightTag.root".format(input_folder,year,channel,file_name))
+   f_sig = ROOT.TFile.Open("{}/{}_sig.root".format(input_folder,file_name,channel))
+   f_bkg = ROOT.TFile.Open("{}/{}_bkg.root".format(input_folder,file_name,channel))
+   f_tag = ROOT.TFile.Open("{}/{}_tightTag.root".format(input_folder,file_name,channel))
+if not f_nom or f_nom.IsZombie():
+    print("Error opening file f_nom")
 
-output_folder = "{}/{}/{}/correction/".format(input_folder,year,channel)
+output_folder = "{}/correction/".format(input_folder)
 
 if not os.path.exists(output_folder):
     os.makedirs(output_folder)
@@ -141,6 +145,13 @@
           else:
             content_nom_data = h_nom_data.GetBinContent(xbin,ybin)
             content_nom_ZLL = 0 if num_only else h_nom_ZLL.GetBinContent(xbin,ybin)
+            error_data = stat_error_data
+            error = stat_error
+            error_mc = stat_error_ZLL
+            if content_nom_ZLL == 0:
+              ratio = 0
+            else:
+              ratio = content_nom_data/content_nom_ZLL
             if options.embed: 
               content_nom_EMB = h_nom_EMB.GetBinContent(xbin,ybin)
             if options.run_systs:
@@ -221,7 +232,7 @@
    f_tag.Close()
 destination_file.Close()
 
-destination_file = ROOT.TFile.Open("{}/{}_SF.root".format(output_folder,file_name), "READ")
+destination_file = ROOT.TFile.Open("{}/{}_SFs.root".format(output_folder,file_name), "READ")
 
 plots_folder = "{}/plots/".format(output_folder)
 
@@ -231,37 +242,37 @@
 
 types = ["id","iso","trg"]
 for name in types:
-   h_SF = destination_file.Get("ScaleFactor_{}".format(name))
-   if not isinstance(h_SF, ROOT.TGraphAsymmErrors): continue
-   if options.embed:
-     h_SF_EMB = destination_file.Get("ScaleFactor_EMB_{}".format(name))
+  h_SF = destination_file.Get("ScaleFactor_{}".format(name))
+  #if not isinstance(h_SF, ROOT.TGraphAsymmErrors): continue
+  if options.embed:
+    h_SF_EMB = destination_file.Get("ScaleFactor_EMB_{}".format(name))
 
-   for j in range(1, h_SF.GetNbinsY()+1):
-     histo1 = ROOT.TH1D('ScaleFactor_{}_1D'.format(name), '', h_SF.GetNbinsX(), h_SF.GetXaxis().GetXbins().GetArray())
-     if options.embed: 
-       histo2 = ROOT.TH1D('ScaleFactor_EMB_{}_1D'.format(name), '', h_SF_EMB.GetNbinsX(), h_SF_EMB.GetXaxis().GetXbins().GetArray())
-     bin_contents = []
-     bin_contents_emb = []
-     for i in range(1, h_SF.GetNbinsX()+1):
-        bin_content = h_SF.GetBinContent(i,j)
-        if bin_content!=0: bin_contents.append(bin_content)
-        bin_error = h_SF.GetBinError(i,j)
-        histo1.SetBinContent(i,bin_content)
-        histo1.SetBinError(i, bin_error)
-        if options.embed:
-          bin_content_emb = h_SF_EMB.GetBinContent(i,j)
-          if bin_content_emb!=0: bin_contents_emb.append(bin_content)
-          bin_error_emb = h_SF_EMB.GetBinError(i,j)
-          histo2.SetBinContent(i,bin_content_emb)
-          histo2.SetBinError(i, bin_error_emb)
+  for j in range(1, h_SF.GetNbinsY()+1):
+    histo1 = ROOT.TH1D('ScaleFactor_{}_1D'.format(name), '', h_SF.GetNbinsX(), h_SF.GetXaxis().GetXbins().GetArray())
+    if options.embed: 
+      histo2 = ROOT.TH1D('ScaleFactor_EMB_{}_1D'.format(name), '', h_SF_EMB.GetNbinsX(), h_SF_EMB.GetXaxis().GetXbins().GetArray())
+    bin_contents = []
+    bin_contents_emb = []
+    for i in range(1, h_SF.GetNbinsX()+1):
+      bin_content = h_SF.GetBinContent(i,j)
+      if bin_content!=0: bin_contents.append(bin_content)
+      bin_error = h_SF.GetBinError(i,j)
+      histo1.SetBinContent(i,bin_content)
+      histo1.SetBinError(i, bin_error)
+      if options.embed:
+        bin_content_emb = h_SF_EMB.GetBinContent(i,j)
+        if bin_content_emb!=0: bin_contents_emb.append(bin_content)
+        bin_error_emb = h_SF_EMB.GetBinError(i,j)
+        histo2.SetBinContent(i,bin_content_emb)
+        histo2.SetBinError(i, bin_error_emb)
 
-        # Set the titles and axis labels for the new histograms
-        if name == "id": histo1.SetTitle('ID Scale Factor {} < |#eta| < {}'.format(h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j))) 
-        if name == "iso": histo1.SetTitle('Isolation Scale Factor {} < |#eta| < {}'.format(h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j)))
-        if name == "trg": histo1.SetTitle('Trigger Scale Factor {} < |#eta| < {}'.format(h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j)))
-        histo1.GetXaxis().SetTitle('pT [GeV]')
-        histo1.GetYaxis().SetTitle('Correction')
-     if i == h_SF.GetNbinsX(): 
+      # Set the titles and axis labels for the new histograms
+      if name == "id": histo1.SetTitle('ID Scale Factor {} < |#eta| < {}'.format(h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j))) 
+      if name == "iso": histo1.SetTitle('Isolation Scale Factor {} < |#eta| < {}'.format(h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j)))
+      if name == "trg": histo1.SetTitle('Trigger Scale Factor {} < |#eta| < {}'.format(h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j)))
+      histo1.GetXaxis().SetTitle('pT [GeV]')
+      histo1.GetYaxis().SetTitle('Correction')
+      if i == h_SF.GetNbinsX(): 
         # Draw the new histograms
         canvas = ROOT.TCanvas('canvas', 'canvas', 800, 600)
         histo1.GetYaxis().SetRangeUser(0.9*min(bin_contents+bin_contents_emb),1.1*histo1.GetMaximum())
@@ -273,10 +284,6 @@
           histo2.Draw('same')
         canvas.SaveAs("{}/{}_SF_{}_{}_{}.pdf".format(plots_folder,file_name,name,h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j)))
         canvas.Update()
-        del canvas
-        del histo1
-        if options.embed: del histo2
-   del h_SF
-   if options.embed: del h_SF_EMB 
+        canvas.Close()
 
 
diff --git a/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py b/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
index 1d2e99446..e5d299907 100755
--- a/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
+++ b/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
@@ -56,27 +56,28 @@ def list_paths(path):
          'TauG_postEE',
          
          #MC postEE
-         
-         'DYJetsToLL-LO_postEE_postEE',
-         'GluGluHToTauTau_M125_postEE_v2_postEE',
-         'GluGluHToTauTau_M125_postEE_v3_postEE',
-         'TTTo2L2Nu_postEE',
-         'VBFHToTauTau_M125_Poisson60KeepRAW_postEE',
-         'VBFHToTauTau_M125_v2_Poisson70KeepRAW_postEE',
-         'WW_postEE_postEE',
-         'WZ_postEE_postEE',
-         'ZZ_postEE_postEE',
-         
-         #MC preEE
-         
-         'DYJetsToLL-LO_summer',
-         'GluGluHToTauTau_M125',
-         'TTTo2L2Nu',
-         'VBFHToTauTau_M125',
-         'WW',
-         'WZ',
-         'ZZ',
-         'ZZZ'
+
+          'DYJetsToLL-LO_postEE',
+          'DYto2TautoMuTauh_M50_postEE',
+          'GluGluHToTauTau_M125_v2_postEE',
+          'GluGluHToTauTau_M125_v3_postEE',
+          'TBbarQ_t-channel_4FS_postEE',
+          'TTTo2L2Nu_postEE',
+          'TTto4Q_postEE',
+          'TTtoLNu2Q_postEE',
+          'TWminusto2L2Nu_postEE',
+          'TWminustoLNu2Q_postEE',
+          'TbarBQ_t-channel_4FS_postEE',
+          'TbarWplusto2L2Nu_postEE',
+          'TbarWplustoLNu2Q_postEE',
+          'VBFHToTauTau_M125_Poisson60KeepRAW_postEE',
+          'VBFHToTauTau_M125_v2_Poisson70KeepRAW_postEE',
+          'W1JetsToLNu-LO_postEE',
+          'W2JetsToLNu-LO_postEE',
+          'WJetsToLNu-LO_postEE',
+          'WW_postEE',
+          'WZ_postEE',
+          'ZZ_postEE',
                   
 	]
 
diff --git a/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py b/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
index 5d5bb5ae3..0251bf85d 100755
--- a/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
+++ b/Analysis/HiggsTauTauRun2/scripts/hadd_22_preEE_output.py
@@ -83,14 +83,25 @@ def list_paths(path):
          
          #MC preEE
          
-         'DYJetsToLL-LO_summer_preEE',
-         'GluGluHToTauTau_M125_preEE',
-         'TTTo2L2Nu_preEE',
-         'VBFHToTauTau_M125_preEE',
-         'WW_preEE',
-         'WZ_preEE',
-         'ZZ_preEE',
-         'ZZZ_preEE'
+        'DYJetsToLL-LO_summer_preEE',
+        'DYto2TautoMuTauh_M50_preEE',
+        'GluGluHToTauTau_M125_preEE',
+        'TBbarQ_t-channel_4FS_preEE',
+        'TTTo2L2Nu_preEE',
+        'TTto4Q_preEE',
+        'TTtoLNu2Q_preEE',
+        'TWminusto2L2Nu_preEE',
+        'TWminustoLNu2Q_preEE',
+        'TbarBQ_t-channel_4FS_preEE',
+        'TbarWplusto2L2Nu_preEE',
+        'TbarWplustoLNu2Q_preEE',
+        'VBFHToTauTau_M125_preEE',
+        'W3JetsToLNu-LO_preEE',
+        'WJetsToLNu-LO_preEE',
+        'WW_preEE',
+        'WZ_preEE',
+        'ZZ_preEE',
+        'ZZZ_preEE',
 	]
 
 
diff --git a/Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py b/Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py
new file mode 100644
index 000000000..f097b3324
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py
@@ -0,0 +1,60 @@
+import os
+import json
+import numpy as np
+
+DO_ZPT_CONTROL = False
+DO_CONTROL = True
+
+DO_SS = False
+
+if DO_ZPT_CONTROL or DO_CONTROL:
+  variables = [
+      'pt_tt[0,10,20,30,40,60,80,100,120,160,200,280,320,400,600]',
+      'm_vis(20,0,200)',
+      'eta_1(30,-3,3)',
+      'eta_2(30,-3,3)',
+     'n_jets(4,0,4)', 
+      'pt_1(20,0,200)',
+     'pt_2(20,0,200)',
+    'mt_1(30,0,300)',
+     'mt_2(30,0,300)'
+]
+else:
+  variables = [
+    'pt_tt[0,10,20,30,40,60,80,100,120,160,200,280,320,400,600]',
+  ]
+first_column = np.concatenate((np.arange(50, 91,10),np.arange(100, 181,20),[200,300,400,600,800]),axis=None)
+second_column = np.concatenate((np.arange(60, 101,10),np.arange(120, 201,20),[300,400,600,800,"inf"]),axis=None)
+if DO_ZPT_CONTROL or DO_CONTROL:
+  mass_selections = [None]
+else:
+  mass_selections = np.column_stack([first_column, second_column])
+
+
+
+for v in variables:
+  v_tt = v
+  for sel in mass_selections:
+    extra=' --ratio_range=\"0.6,1.4\" '
+    extra += ' --v2p5'
+    #Factor out wt_dysoup if it is wrongly not 1
+    #extra+=' --add_wt="1/wt_dysoup"'
+    if DO_ZPT_CONTROL:
+      extra+= ' --folder="/vols/cms/eb921/output/output_zmm_Zpt_2022/"'
+      extra+= ' --extra_name=mvis50_Zpt'
+      extra+= ' --sel="(m_vis>50)"'
+    else:
+      extra+= ' --folder="/vols/cms/eb921/output/output_zmm_2022/"'
+      if DO_CONTROL:
+        extra+= ' --extra_name=mvis50'
+        extra+= ' --sel="(m_vis>50)"'
+      else:
+        extra+= ' --extra_name=mvis%sto%s'%(sel[0],sel[1])
+        if sel[1] == "inf":
+          extra += ' --sel="(m_vis>%s)"'%(sel[0])
+        else:
+          extra += ' --sel="(m_vis>%s && m_vis<%s)"'%(sel[0], sel[1])
+    os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --cfg scripts/zpt_plot_2022.cfg --var=\"%(v_tt)s\"' % vars() )
+    if DO_SS:
+      os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --do_ss --cfg scripts/zpt_plot_2022.cfg --var=\"%(v_tt)s\"' % vars() )            
+    
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/zpt_plot_2022.cfg b/Analysis/HiggsTauTauRun2/scripts/zpt_plot_2022.cfg
new file mode 100644
index 000000000..c78665d9f
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/zpt_plot_2022.cfg
@@ -0,0 +1,18 @@
+[Defaults]
+analysis=mssmrun2
+paramfile=scripts/params_2022.json
+era=22
+sm_masses=""
+draw_signal_mass=""
+year=2022
+norm_bins=True
+ratio=True
+lumi=7.4 fb^{-1} (13.6 TeV)
+vbf_background=False
+wp=medium
+channel=zmm
+method=8
+outputfolder=zpt_plots
+#scheme=noEWKZ
+#v2p5=True
+#qcd_os_ss_ratio=1
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/zpt_reweighting.C b/Analysis/HiggsTauTauRun2/scripts/zpt_reweighting.C
index 932df3d3f..b236105ac 100644
--- a/Analysis/HiggsTauTauRun2/scripts/zpt_reweighting.C
+++ b/Analysis/HiggsTauTauRun2/scripts/zpt_reweighting.C
@@ -1,5 +1,6 @@
-void zpt_reweighting(std::string outfile="zpt_reweighting_LO.root"){
+void zpt_reweighting(){
   // initialising binning
+  std::string outfile="/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/zpt_reweighting_LO.root";
   double x_bins[17] = {0,50,60,70,80,90,100,120,140,160,180,200,300,400,600,800,1000};
   double y_bins[15] = {0,10,20,30,40,60,80,100,120,160,200,280,320,400,600};
   int n_xbins = 16;
@@ -7,66 +8,21 @@ void zpt_reweighting(std::string outfile="zpt_reweighting_LO.root"){
   TFile *fout = new TFile(outfile.c_str(),"RECREATE");
   // datacards (var pt_tt with mvis cuts)
   std::vector<std::string> file_names = {
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis50to60.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis60to70.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis70to80.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis80to90.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis90to100.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis100to120.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis120to140.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis140to160.root",	
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis160to180.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis180to200.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis200to300.root",	
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis300to400.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis400to600.root",
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis600to800.root",		 
-    "input/zpt/LO/2018/zmm/datacard_pt_tt_inclusive_zmm_2018_mvis800toinf.root",	
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis50to60.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis60to70.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis70to80.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis80to90.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis90to100.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis100to120.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis120to140.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis140to160.root",	
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis160to180.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis180to200.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis200to300.root",	
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis300to400.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis400to600.root",
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis600to800.root",		 
-    "input/zpt/LO/2017/zmm/datacard_pt_tt_inclusive_zmm_2017_mvis800toinf.root",		 
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis50to60.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis60to70.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis70to80.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis80to90.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis90to100.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis100to120.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis120to140.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis140to160.root",	
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis160to180.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis180to200.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis200to300.root",	
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis300to400.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis400to600.root",
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis600to800.root",		 
-    "input/zpt/LO/2016_postVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis800toinf.root",		 
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis50to60.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis60to70.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis70to80.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis80to90.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis90to100.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis100to120.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis120to140.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis140to160.root",	
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis160to180.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis180to200.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis200to300.root",	
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis300to400.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis400to600.root",
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis600to800.root",		 
-    "input/zpt/LO/2016_preVFP/zmm/datacard_pt_tt_inclusive_zmm_2016_mvis800toinf.root",			 
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis50to60_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis60to70_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis70to80_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis80to90_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis90to100_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis100to120_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis120to140_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis140to160_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis160to180_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis180to200_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis200to300_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis300to400_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis400to600_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis600to800_zmm_2022.root",
+    "/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/zpt_plots/datacard_pt_tt_inclusive_mvis800toinf_zmm_2022.root"
   };
   
   std::vector<TH1D*> data_hist_vector;
@@ -154,18 +110,8 @@ void zpt_reweighting(std::string outfile="zpt_reweighting_LO.root"){
     unsigned x_bin = i+1;
     TH1D *h = data_hist_vector[i];
     if (i != 0) {
-      TH1D *h_2 = data_hist_vector[15+i];
-      TH1D *h_3 = data_hist_vector[30+i];
-      TH1D *h_4 = data_hist_vector[45+i];
       h->SetDirectory(0);
-      h_2->SetDirectory(0);
-      h_3->SetDirectory(0);
-      h_4->SetDirectory(0);
-      h->Add(h_2,1);
-      h->Add(h_3,1);
-      h->Add(h_4,1);
     }
-
     for(unsigned j=0; j<h_data->GetNbinsY(); ++j){
         unsigned y_bin = j+1;
         double z_pt = h_data->GetYaxis()->GetBinCenter(y_bin);
@@ -175,23 +121,14 @@ void zpt_reweighting(std::string outfile="zpt_reweighting_LO.root"){
         if(x_bin==1){ content = 1; error = 0;}
         h_data->SetBinContent(x_bin,y_bin,content);
         h_data->SetBinError(x_bin,y_bin,error);                 
-    } 
+    }
   }
   // filling mc TH2D
   for(unsigned i=0; i<h_mc->GetNbinsX(); ++i){
     unsigned x_bin = i+1;
     TH1D *h = mc_hist_vector[i];
     if (i != 0) {
-      TH1D *h_2 = mc_hist_vector[15+i];
-      TH1D *h_3 = mc_hist_vector[30+i];
-      TH1D *h_4 = mc_hist_vector[45+i];
       h->SetDirectory(0);
-      h_2->SetDirectory(0);
-      h_3->SetDirectory(0);
-      h_4->SetDirectory(0);
-      h->Add(h_2,1);
-      h->Add(h_3,1);
-      h->Add(h_4,1);
     }
  
     for(unsigned j=0; j<h_mc->GetNbinsY(); ++j){
diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index 54cf46476..d06bbe888 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -466,10 +466,14 @@ if(!is_data && js["do_gen_analysis"].asBool()){
       httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
       httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
     }
-    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
-      httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
-      httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
-    }    
+    if(era_type == era::data_2022_preEE ) {
+      httStitching.SetDYInputCrossSections(1.0,1.0,1.0,1.0,1.0);
+      httStitching.SetDYInputYields(27309719,0,0,0,0);
+    }
+    if(era_type == era::data_2022_postEE) {
+      httStitching.SetDYInputCrossSections(1.0,1.0,1.0,1.0,1.0);
+      httStitching.SetDYInputYields(96294972,0,0,0,0);
+    }  
 
 
   }
@@ -774,9 +778,9 @@ if(era_type == era::data_2018UL) {
    scalefactor_file_UL = "input/scale_factors/htt_scalefactors_UL_2018.root";
 }
 if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
-   scalefactor_file = "input/scale_factors/htt_scalefactors_legacy_2018.root";
+   scalefactor_file = "input/scale_factors/htt_scalefactors_2022.root";
    scalefactor_file_ggh = "input/ggh_weights/htt_scalefactors_2017_MGggh.root";
-   scalefactor_file_UL = "input/scale_factors/htt_scalefactors_UL_2018.root";
+   scalefactor_file_UL = "";
 }
 
 
@@ -792,7 +796,6 @@ HTTWeights httWeights = HTTWeights("HTTWeights")
  .set_era(era_type)
  .set_mc(mc_type)
  .set_do_tau_id_weights(!is_data)
- .set_do_tau_id_sf(!is_data)
  .set_do_em_qcd_weights(true)
  .set_ditau_label("ditau")
  .set_jets_label(jets_label)
@@ -807,11 +810,15 @@ httWeights.set_scalefactor_file_UL(scalefactor_file_UL);
 httWeights.set_is_embedded(is_embedded);
 if (!is_data ) {
   httWeights.set_do_trg_weights(true).set_trg_applied_in_mc(js["trg_in_mc"].asBool()).set_do_idiso_weights(true);
-  if(channel == channel::et || channel == channel::mt || channel==channel::tt) httWeights.set_do_etau_fakerate(true);
-  if(channel == channel::mt || channel == channel::et ||channel == channel::tt) httWeights.set_do_mtau_fakerate(true);
-  if((channel == channel::et || channel==channel::em || channel==channel::mt || channel==channel::zmm || channel==channel::zee)) httWeights.set_do_tracking_eff(true);
+  if(era_type != era::data_2022_preEE && era_type != era::data_2022_postEE){
+  httWeights.set_do_tau_id_sf(true);
+  if(channel == channel::et || channel == channel::mt || channel==channel::tt) {
+  httWeights.set_do_etau_fakerate(true);
+  httWeights.set_do_mtau_fakerate(true);
+    }
+  if(channel == channel::et || channel==channel::em || channel==channel::mt || channel==channel::zmm || channel==channel::zee) httWeights.set_do_tracking_eff(true);
+  }
 }
-
 if ((output_name.find("DY") != output_name.npos && output_name.find("JetsToLL-LO") != output_name.npos && !(output_name.find("JetsToLL-LO-10-50") != output_name.npos))){
   httWeights.set_do_zpt_weight(true&&channel!=channel::tpzee&&channel!=channel::tpzmm&&channel!=channel::tpmt&&channel != channel::tpem);
 }
@@ -873,10 +880,14 @@ if(channel!=channel::tpzee&&channel!=channel::tpzmm){
       httStitching.SetWInputCrossSections(1.0,0.1522,0.0515,0.0184,0.0103);
       httStitching.SetWInputYields(82360950, 47850048, 27411802, 18297679, 9130068);
     }
-    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE){
-      httStitching.SetWInputCrossSections(1.0,0.1522,0.0515,0.0184,0.0103);
-      httStitching.SetWInputYields(82360950, 47850048, 27411802, 18297679, 9130068);
-    }    
+    if(era_type == era::data_2022_preEE){
+      httStitching.SetWInputCrossSections(1.0,1.0,1.0,0.0156,1.0);
+      httStitching.SetWInputYields(87900584, 0, 0, 8214147, 0);
+    }
+    if(era_type == era::data_2022_postEE){
+      httStitching.SetWInputCrossSections(1.0,0.1651,0.0528,1.0,1.0);
+      httStitching.SetWInputYields(348456687, 42838501, 36384428, 0, 0);
+    }      
   }
   if ((output_name.find("DY") != output_name.npos && output_name.find("JetsToLL-LO") != output_name.npos && !(output_name.find("JetsToLL-LO-10-50") != output_name.npos))){
     httStitching.set_do_dy_soup(true);
@@ -908,10 +919,14 @@ if(channel!=channel::tpzee&&channel!=channel::tpzmm){
       httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
       httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
     }
-    if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
-      httStitching.SetDYInputCrossSections(1.0, 0.1641, 0.0571, 0.0208, 0.0118); //Target fractions are xs_n-jet/xs_inclusive
-      httStitching.SetDYInputYields(96055748+101373493, 60368985, 27494377, 20466041, 8885353);
-    }    
+    if(era_type == era::data_2022_preEE ) {
+      httStitching.SetDYInputCrossSections(1.0,1.0,1.0,1.0,1.0);
+      httStitching.SetDYInputYields(27309719,0,0,0,0);
+    }
+    if(era_type == era::data_2022_postEE) {
+      httStitching.SetDYInputCrossSections(1.0,1.0,1.0,1.0,1.0);
+      httStitching.SetDYInputYields(96294972,0,0,0,0);
+    }  
   }
 
   if ((output_name.find("DYJetsToLL-NLO") != output_name.npos || output_name.find("DYJetstoLL-NLO") != output_name.npos || output_name.find("DYJetsToLL_0J-NLO") != output_name.npos|| output_name.find("DYJetsToLL_1J-NLO") != output_name.npos || output_name.find("DYJetsToLL_2J-NLO") != output_name.npos )){
diff --git a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
index ac9fd73e7..b33627479 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTTriggerFilter.cc
@@ -261,7 +261,7 @@ namespace ic {
           leg2_filter = "hltSelectedPFTau27LooseChargedIsolationAgainstMuonL1HLTMatched";
           extra_leg2_filter = "hltOverlapFilterIsoMu20LooseChargedIsoPFTau27L1Seeded";
         }
-        if (run >= 317509) { //2018 post hps
+        if (run >= 317509 && run < 355100) { //2018 post hps
           alt_trig_obj_label = "triggerObjectsIsoMu24";
           alt_leg1_filter =  "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07";
           alt_trk_trig_obj_label = "triggerObjectsIsoMu27";
@@ -272,6 +272,20 @@ namespace ic {
           leg2_filter = "hltHpsSelectedPFTau27LooseChargedIsolationAgainstMuonL1HLTMatched";
           extra_leg2_filter = "hltHpsOverlapFilterIsoMu20LooseChargedIsoPFTau27L1Seeded";
         }
+        if (run >= 355100) {
+          alt_trig_obj_label = "triggerObjectsIsoMu24";
+          alt_leg1_filter =  (era_ == era::data_2022_postEE) ?
+         "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered" : "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08";
+          alt_trk_trig_obj_label = "triggerObjectsIsoMu24";
+          alt_trk_leg1_filter =  (era_ == era::data_2022_postEE) ?
+         "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered" : "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08";
+          high_leg_pt = 21.;
+        trig_obj_label = "triggerObjectsMu24LooseDeepTauHPS27"; //https://twiki.cern.ch/twiki/bin/view/CMS/TauTrigger
+         leg1_filter =(era_ == era::data_2022_postEE) ?
+         "hltL3crIsoBigORMu18erTauXXer2p1L1f0L2f10QL3f20QL3trkIsoFiltered" : "hltL3crIsoBigORMu18erTauXXer2p1L1f0L2f10QL3f20QL3trkIsoFiltered0p08";
+         leg2_filter = "hltHpsSelectedPFTau27LooseMuTauWPDeepTauVsJetsAgainstMuonL1HLTMatched";
+         extra_leg2_filter = "hltHpsOverlapFilterIsoMu20LooseMuTauWPDeepTauPFTau27L1Seeded";
+        }
         // --------------------------
         // Monitoring paths for checks
         if(run >= 271036 && run <= 284044){
@@ -439,11 +453,15 @@ namespace ic {
           singletau_trg_obj_alt_label = "triggerObjectsSingleTau140";
           min_online_singletau_pt=0; // don't know what this would be at the moment so just keep as 0 for now
           singletau_leg1_alt_filter = "hltPFTau140TrackPt50LooseAbsOrRelVLooseIso";
-        } else if(run >= 294927) {
+        } else if(run < 355100 && run >= 294927) {
           singletau_trg_obj_label = "triggerObjectsMediumChargedIsoPFTau180HighPtRelaxedIso";
           min_online_singletau_pt=0; // don't know what this would be at the moment so just keep as 0 for now
           singletau_leg1_filter = "hltPFTau180TrackPt50LooseAbsOrRelMediumHighPtRelaxedIsoIso";
           singletau_leg1_filter_2 = "hltSelectedPFTau180MediumChargedIsolationL1HLTMatched";
+        } else if(run >= 355100) {
+          singletau_trg_obj_label = "triggerObjectsLooseDeepTauPFTauHPS180";
+          singletau_leg1_filter = "hltSelectedPFTau180LooseSingleTauWPDeepTauL1HLTMatched";
+          singletau_leg1_filter_2 = "";
         }
       }  
     } else {
@@ -470,7 +488,11 @@ namespace ic {
             singletau_leg1_filter = "hltPFTau180TrackPt50LooseAbsOrRelMediumHighPtRelaxedIsoIso";
             singletau_leg1_filter_2 = "hltSelectedPFTau180MediumChargedIsolationL1HLTMatched";
           }
-        }
+        }else if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+          singletau_trg_obj_label = "triggerObjectsLooseDeepTauPFTauHPS180";
+          singletau_leg1_filter = "hltSelectedPFTau180LooseSingleTauWPDeepTauL1HLTMatched";
+          singletau_leg1_filter_2 = "";
+          }
       }
         
       if (channel_ == channel::et || channel_ == channel::zee || channel_ ==  channel::tpzee) {
@@ -589,7 +611,7 @@ namespace ic {
           alt_monitoring_17_leg1_filter_2 = "hltL3crIsoL1sBigOrMuXXerIsoTauYYerL1f0L2f10QL3f24QL3trkIsoFiltered0p07";
           alt_monitoring_17_leg2_filter_2 = "hltSelectedPFTau35TrackPt1TightChargedIsolationL1HLTMatchedReg";
           
-        } else if (era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+        } else if (era_ == era::data_2018 || era_ == era::data_2018UL) {
           alt_trig_obj_label = "triggerObjectsIsoMu24";
           alt_leg1_filter =  "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07";
           alt_trk_trig_obj_label = "triggerObjectsIsoMu27";
@@ -611,6 +633,19 @@ namespace ic {
           monitoring_18_trig_obj_label = "triggerObjectsMu24MediumIsoTauHPS35";
           monitoring_18_leg1_filter = "hltL3crIsoL1sBigOrMuXXerIsoTauYYerL1f0L2f10QL3f24QL3trkIsoFiltered0p07";
           monitoring_18_leg2_filter = "hltHpsSelectedPFTau35TrackPt1MediumChargedIsolationL1HLTMatchedReg";
+        } else if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+          alt_trig_obj_label = "triggerObjectsIsoMu24";
+          alt_leg1_filter =  (era_ == era::data_2022_postEE) ?
+         "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered" : "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08";
+          alt_trk_trig_obj_label = "triggerObjectsIsoMu24";
+          alt_trk_leg1_filter =  (era_ == era::data_2022_postEE) ?
+         "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered" : "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08";
+        trig_obj_label = "triggerObjectsMu24LooseDeepTauHPS27";
+         leg1_filter =(era_ == era::data_2022_postEE) ?
+         "hltL3crIsoBigORMu18erTauXXer2p1L1f0L2f10QL3f20QL3trkIsoFiltered" : "hltL3crIsoBigORMu18erTauXXer2p1L1f0L2f10QL3f20QL3trkIsoFiltered0p08";
+         leg2_filter = "hltHpsSelectedPFTau27LooseMuTauWPDeepTauVsJetsAgainstMuonL1HLTMatched";
+         extra_leg2_filter = "hltHpsOverlapFilterIsoMu20LooseMuTauWPDeepTauPFTau27L1Seeded";
+          high_leg_pt = 21.;
         }
 
       } else if (channel_ == channel::em) {
@@ -740,7 +775,7 @@ namespace ic {
 
            leg1_match = (IsFilterMatchedWithIndex(dileptons[i]->At(0),alt_objs, alt_leg1_filter, 0.5).first || IsFilterMatchedWithIndex(dileptons[i]->At(0),alt_trk_objs, alt_trk_leg1_filter, 0.5).first) || (IsFilterMatchedWithIndex(dileptons[i]->At(0),alt_er_objs, alt_er_leg1_filter, 0.5).first) || (IsFilterMatchedWithIndex(dileptons[i]->At(0),alt_er_trk_objs, alt_er_trk_leg1_filter, 0.5).first); 
         } else if((channel_==channel::mt || channel_==channel::zmm || channel_ == channel::tpzmm) 
-                && (era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)) {
+                && (era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)) {
            std::vector<TriggerObject *> alt_trk_objs = event->GetPtrVec<TriggerObject>(alt_trk_trig_obj_label);
            leg1_match = (IsFilterMatchedWithIndex(dileptons[i]->At(0),alt_objs, alt_leg1_filter, 0.5).first || IsFilterMatchedWithIndex(dileptons[i]->At(0),alt_trk_objs, alt_trk_leg1_filter, 0.5).first);
         }
diff --git a/Analysis/HiggsTauTauRun2/src/HTTWeights.cc b/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
index c5bc4e83c..2272553ca 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
@@ -127,6 +127,8 @@ int HTTWeights::PreAnalysis() {
       w_ggh_ = std::shared_ptr<RooWorkspace>((RooWorkspace*)gDirectory->Get("w"));;
       f_ggh.Close();
     }
+    //This if statement excludes almost all scale factors in Run3 until they are created
+    if(era_ != era::data_2022_preEE && era_ != era::data_2022_postEE) {
 
     // tracking corrections for electrons and muons
     fns_["e_trk_ratio"] = std::shared_ptr<RooFunctor>(
@@ -955,8 +957,22 @@ int HTTWeights::PreAnalysis() {
       fns_["ggH_mg_ue_down"] = std::shared_ptr<RooFunctor>(
       	  w_ggh_->function("ggH_mg_ue_down")->functor(w_ggh_->argSet("ngenjets")));
     }
+    }
+
+// These are the factors that are also available in Run 3
+    fns_["m_trg_binned_mc"] = std::shared_ptr<RooFunctor>(  w_->function("m_trg_binned_ic_mc")->functor(w_->argSet("m_pt,m_eta,m_iso")));
+    fns_["m_trg_binned_data"] = std::shared_ptr<RooFunctor>(
+       w_->function("m_trg_binned_ic_data")->functor(w_->argSet("m_pt,m_eta,m_iso")));
+     fns_["m_idiso_ratio"] = std::shared_ptr<RooFunctor>(
+      w_->function("m_idiso_binned_ic_ratio")->functor(w_->argSet("m_pt,m_eta,m_iso")));
+    fns_["m_id_ratio"] = std::shared_ptr<RooFunctor>(
+        w_->function("m_id_ic_ratio")->functor(w_->argSet("m_pt,m_eta")));
+    fns_["zpt_weight_nom"] = std::shared_ptr<RooFunctor>(
+         w_->function("zptmass_weight_nom")->functor(w_->argSet("z_gen_pt,z_gen_mass"))); 
+
+
     // UL Scale Factors
-    if(scalefactor_file_UL_!="" && (era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)){
+    if(scalefactor_file_UL_!="" && (era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017UL || era_ == era::data_2018UL)){
      
 
 
@@ -2329,7 +2345,7 @@ int HTTWeights::Execute(TreeEvent *event) {
       double tau_trg_mvadm11_down=1;
 
 
-      if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+      if(era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL) {
 
         if(e_pt<e_high_pt_cut) { // if this isn't true then we are using the single lepton trigger and therefore the weight = 1
           if(!is_embedded_) {
@@ -2464,7 +2480,14 @@ int HTTWeights::Execute(TreeEvent *event) {
       mu_trg = fns_["m_trg_binned_data"]->eval(args_1.data());
       if(!is_embedded_) mu_trg_mc = fns_["m_trg_binned_mc"]->eval(args_1.data());
       else mu_trg_mc = fns_["m_trg_binned_embed"]->eval(args_1.data());
-
+    if(era_ == era::data_2022_preEE || era_ == era::data_2022_postEE){
+     if (trg_applied_in_mc_) {
+       mu_trg = mu_trg / mu_trg_mc;
+     }
+     weight *= mu_trg ;
+     event->Add("trigweight_1", mu_trg);
+     event->Add("trigweight_2", double(1.0));
+    }else {
       double single_m_sf = mu_trg / mu_trg_mc;
       double t_dm = tau->decay_mode();
       auto args_2 = std::vector<double>{pt,m_signed_eta};  
@@ -2668,6 +2691,7 @@ int HTTWeights::Execute(TreeEvent *event) {
      weight *= (mu_trg * tau_trg);
      event->Add("trigweight_1", mu_trg);
      event->Add("trigweight_2", tau_trg);
+    }
    } else if (channel_ == channel::em) {
      Electron const* elec = dynamic_cast<Electron const*>(dilepton[0]->GetCandidate("lepton1"));
      Muon const* muon = dynamic_cast<Muon const*>(dilepton[0]->GetCandidate("lepton2"));
diff --git a/Analysis/HiggsTauTauRun2/test/HTT.cpp b/Analysis/HiggsTauTauRun2/test/HTT.cpp
index 1debda258..24b085556 100644
--- a/Analysis/HiggsTauTauRun2/test/HTT.cpp
+++ b/Analysis/HiggsTauTauRun2/test/HTT.cpp
@@ -127,7 +127,7 @@ int main(int argc, char* argv[]) {
     if(is_data &&  ( (channel_str.find("em") != channel_str.npos &&
                     output_name.find("MuonEG")==output_name.npos &&
                     channel_str.find("tpem") == channel_str.npos)||
-                (channel_str.find("mt") != channel_str.npos && !(output_name.find("SingleMuon") != output_name.npos || (output_name.find("Tau") != output_name.npos && do_singletau))) ||
+                (channel_str.find("mt") != channel_str.npos && !(output_name.find("Muon") != output_name.npos || (output_name.find("Tau") != output_name.npos && do_singletau))) ||
                 (channel_str.find("et") != channel_str.npos && !(output_name.find("SingleEle") != output_name.npos || output_name.find("EGamma") != output_name.npos  || (output_name.find("Tau") != output_name.npos && do_singletau))) ||
                 (channel_str.find("tt") != channel_str.npos &&
                  output_name.find("Tau") == output_name.npos) ||

From d4a6ebbbd4ec9a6e6d07d4c6f7c5c0bfc2ef46b9 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 22 Aug 2023 13:49:10 +0100
Subject: [PATCH 35/50] Add lumi, scale factor, filelists and pileup files

---
 .../Aug0223_2022_Data_preEE_filelists.tgz     | Bin 0 -> 32334 bytes
 .../filelists/Aug1123_2022_filelists.tgz      | Bin 0 -> 3276800 bytes
 .../input/json/2022_postEE_lumicorr.json      | 240 ++++++++++
 .../input/json/2022_preEE.json                | 197 ++++++++
 .../HiggsTauTauRun2/input/json/2022_runB.json |  21 +
 .../HiggsTauTauRun2/input/json/2022_runC.json | 128 ++++++
 .../HiggsTauTauRun2/input/json/2022_runD.json |  52 +++
 .../HiggsTauTauRun2/input/json/2022_runE.json |  86 ++++
 .../input/json/2022_runE_lumicorr.json        |  68 +++
 .../HiggsTauTauRun2/input/json/2022_runF.json | 138 ++++++
 .../HiggsTauTauRun2/input/json/2022_runG.json |  38 ++
 ...ons2022_355100_362760_Golden_lumicorr.json | 435 ++++++++++++++++++
 .../input/json/lumicorr_note.txt              |   5 +
 ...leup_2022_DYJetsToLL-LO_postEE_postEE.root | Bin 0 -> 5225 bytes
 ...ileup_2022_DYJetsToLL-LO_summer_preEE.root | Bin 0 -> 5183 bytes
 .../input/pileup/2022/pu_2022_full.root       | Bin 0 -> 4343 bytes
 .../input/pileup/2022/pu_2022_postEE.root     | Bin 0 -> 4371 bytes
 .../input/pileup/2022/pu_2022_preEE.root      | Bin 0 -> 4360 bytes
 .../scale_factors/htt_scalefactors_2022.root  | Bin 0 -> 59007 bytes
 .../htt_scalefactors_2022_noZpt.root          | Bin 0 -> 49939 bytes
 Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg |   8 +
 .../HiggsTauTauRun2/scripts/TnP_SF_2022.cfg   |   4 +
 .../scripts/htt_2022_postEE.py                |  28 +-
 .../HiggsTauTauRun2/scripts/htt_2022_preEE.py |  45 +-
 .../HiggsTauTauRun2/scripts/params_2022.json  | 168 +++++++
 25 files changed, 1636 insertions(+), 25 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/filelists/Aug0223_2022_Data_preEE_filelists.tgz
 create mode 100644 Analysis/HiggsTauTauRun2/filelists/Aug1123_2022_filelists.tgz
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_postEE_lumicorr.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_preEE.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_runB.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_runC.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_runD.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_runE.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_runE_lumicorr.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_runF.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/2022_runG.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden_lumicorr.json
 create mode 100644 Analysis/HiggsTauTauRun2/input/json/lumicorr_note.txt
 create mode 100644 Analysis/HiggsTauTauRun2/input/pileup/2022/pileup_2022_DYJetsToLL-LO_postEE_postEE.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/pileup/2022/pileup_2022_DYJetsToLL-LO_summer_preEE.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/pileup/2022/pu_2022_full.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/pileup/2022/pu_2022_postEE.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/pileup/2022/pu_2022_preEE.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022_noZpt.root
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/TnP_SF_2022.cfg
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/params_2022.json

diff --git a/Analysis/HiggsTauTauRun2/filelists/Aug0223_2022_Data_preEE_filelists.tgz b/Analysis/HiggsTauTauRun2/filelists/Aug0223_2022_Data_preEE_filelists.tgz
new file mode 100644
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diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_postEE_lumicorr.json b/Analysis/HiggsTauTauRun2/input/json/2022_postEE_lumicorr.json
new file mode 100644
index 000000000..8d48db6d9
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_postEE_lumicorr.json
@@ -0,0 +1,240 @@
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+}
diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_preEE.json b/Analysis/HiggsTauTauRun2/input/json/2022_preEE.json
new file mode 100644
index 000000000..d14f72a6b
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_preEE.json
@@ -0,0 +1,197 @@
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diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_runB.json b/Analysis/HiggsTauTauRun2/input/json/2022_runB.json
new file mode 100644
index 000000000..36b4f2084
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_runB.json
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+  "355768": [[82, 126]],
+  "355769": [[1, 541]]
+}
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_runC.json b/Analysis/HiggsTauTauRun2/input/json/2022_runC.json
new file mode 100644
index 000000000..156b37b12
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_runC.json
@@ -0,0 +1,128 @@
+{
+  "355862": [[121, 133]],
+  "355863": [[1, 14]],
+  "355870": [[31, 67]],
+  "355871": [[1, 5]],
+  "355872": [
+    [1, 738],
+    [758, 995],
+    [997, 1217]
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+  "356375": [[35, 77], [101, 125]],
+  "356378": [
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+    [210, 219],
+    [221, 304]
+  ],
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+    [36, 113],
+    [117, 164],
+    [168, 177],
+    [181, 191],
+    [193, 194],
+    [199, 343]
+  ],
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+    [307, 309],
+    [311, 366],
+    [368, 672]
+  ],
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+  "357472": [[34, 60]],
+  "357478": [[43, 50]],
+  "357479": [[1, 1046]],
+  "357482": [[1, 5], [21, 220]]
+}
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_runD.json b/Analysis/HiggsTauTauRun2/input/json/2022_runD.json
new file mode 100644
index 000000000..fd973df50
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_runD.json
@@ -0,0 +1,52 @@
+{
+  "357538": [[39, 63]],
+  "357542": [[1, 11], [13, 252]],
+  "357550": [[1, 36]],
+  "357610": [[63, 253]],
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+  "357720": [[32, 92]],
+  "357732": [[30, 157]],
+  "357734": [[1, 300]],
+  "357735": [
+    [1, 387],
+    [389, 821],
+    [823, 947],
+    [949, 1126]
+  ],
+  "357754": [[29, 145]],
+  "357756": [[1, 425]],
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+  "357899": [[1, 637]],
+  "357900": [[1, 516]]
+}
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_runE.json b/Analysis/HiggsTauTauRun2/input/json/2022_runE.json
new file mode 100644
index 000000000..668e4a0f1
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_runE.json
@@ -0,0 +1,86 @@
+{
+  "359569": [[1, 83]],
+  "359571": [
+    [1, 4],
+    [7, 28],
+    [30, 39],
+    [41, 50],
+    [52, 61],
+    [63, 72],
+    [74, 83],
+    [85, 94],
+    [96, 105],
+    [107, 116],
+    [118, 127],
+    [129, 138],
+    [140, 149],
+    [151, 160],
+    [162, 169]
+  ],
+  "359575": [
+    [1, 13],
+    [15, 24],
+    [26, 35],
+    [37, 46],
+    [48, 57],
+    [59, 68],
+    [70, 89]
+  ],
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+  "359899": [[19, 305]],
+  "359903": [[1, 12]],
+  "359998": [
+    [24, 757],
+    [759, 759],
+    [761, 785],
+    [787, 1918]
+  ],
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+  "360090": [[1, 794]],
+  "360116": [[77, 432]],
+  "360125": [
+    [132, 195],
+    [200, 262],
+    [264, 324]
+  ],
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+  "360296": [[1, 519]],
+  "360327": [[32, 383]]
+}
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_runE_lumicorr.json b/Analysis/HiggsTauTauRun2/input/json/2022_runE_lumicorr.json
new file mode 100644
index 000000000..f30266859
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_runE_lumicorr.json
@@ -0,0 +1,68 @@
+{
+  "359569": [[1, 83]],
+  "359575": [
+    [1, 13],
+    [15, 24],
+    [26, 35],
+    [37, 46],
+    [48, 57],
+    [59, 68],
+    [70, 89]
+  ],
+  "359595": [[17, 289]],
+  "359597": [[1, 94]],
+  "359602": [[1, 74]],
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+  "359612": [[1, 12]],
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+  "359806": [[42, 410]],
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+  "359870": [[2, 7]],
+  "359871": [[1, 228]],
+  "359887": [[30, 502]],
+  "359899": [[19, 305]],
+  "359903": [[1, 12]],
+  "359998": [
+    [24, 757],
+    [759, 759],
+    [761, 785],
+    [787, 1918]
+  ],
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+  "360075": [[20, 429], [462, 809]],
+  "360090": [[1, 794]],
+  "360116": [[77, 432]],
+  "360125": [
+    [132, 195],
+    [200, 262],
+    [264, 324]
+  ],
+  "360126": [[1, 35], [37, 370]],
+  "360127": [[1, 201]],
+  "360128": [[1, 163]],
+  "360130": [[87, 91]],
+  "360131": [[1, 378]],
+  "360141": [[25, 775]],
+  "360224": [[43, 259]],
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+}
diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_runF.json b/Analysis/HiggsTauTauRun2/input/json/2022_runF.json
new file mode 100644
index 000000000..9bf9f8200
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_runF.json
@@ -0,0 +1,138 @@
+{
+  "360390": [[5, 36], [38, 76]],
+  "360391": [[1, 4]],
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+    [333, 581],
+    [583, 1930]
+  ],
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+    [181, 468],
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+  "361468": [[3, 1883]],
+  "361475": [
+    [37, 614],
+    [617, 836],
+    [838, 838],
+    [840, 1121],
+    [1124, 1273]
+  ],
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+  "362059": [[1, 63]],
+  "362060": [[1, 83], [85, 85]],
+  "362061": [[1, 314]],
+  "362062": [[1, 207]],
+  "362063": [[1, 70], [77, 92]],
+  "362064": [
+    [93, 218],
+    [220, 508],
+    [510, 1067]
+  ],
+  "362087": [[1, 13], [15, 146]],
+  "362091": [[1, 1418]],
+  "362104": [[33, 147]],
+  "362105": [[1, 179]],
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+  "362159": [[29, 35]],
+  "362161": [[1, 120]],
+  "362163": [[1, 65]],
+  "362166": [[1, 331]],
+  "362167": [[1, 646]]
+}
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/json/2022_runG.json b/Analysis/HiggsTauTauRun2/input/json/2022_runG.json
new file mode 100644
index 000000000..6415f0aaf
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/2022_runG.json
@@ -0,0 +1,38 @@
+{
+  "362437": [[1, 11], [73, 92]],
+  "362439": [[8, 34], [249, 1595]],
+  "362597": [[1, 139]],
+  "362614": [[1, 153]],
+  "362615": [[1, 149]],
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+  "362617": [[1, 244]],
+  "362618": [[1, 274]],
+  "362653": [[40, 305]],
+  "362654": [[1, 26]],
+  "362655": [
+    [1, 140],
+    [143, 144],
+    [148, 338]
+  ],
+  "362657": [[1, 198]],
+  "362695": [[39, 372]],
+  "362696": [
+    [1, 1112],
+    [1114, 1120],
+    [1122, 1124],
+    [1126, 1128],
+    [1130, 1132],
+    [1134, 1140],
+    [1142, 1144],
+    [1146, 1148],
+    [1150, 1152],
+    [1154, 1720]
+  ],
+  "362698": [[1, 374]],
+  "362720": [[52, 949]],
+  "362727": [[4, 7]],
+  "362728": [[1, 388]],
+  "362757": [[32, 93]],
+  "362758": [[1, 205]],
+  "362760": [[1, 728]]
+}
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden_lumicorr.json b/Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden_lumicorr.json
new file mode 100644
index 000000000..cd2bf72ba
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/Cert_Collisions2022_355100_362760_Golden_lumicorr.json
@@ -0,0 +1,435 @@
+{
+  "355374": [[59, 84]],
+  "355381": [[1, 358]],
+  "355418": [[1, 41]],
+  "355419": [[1, 98]],
+  "355429": [[42, 89]],
+  "355435": [[42, 84]],
+  "355442": [[1, 22]],
+  "355443": [[1, 240]],
+  "355444": [[1, 153]],
+  "355445": [[1, 242]],
+  "355454": [[38, 118]],
+  "355455": [[1, 40]],
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+  "355559": [[1, 162]],
+  "355679": [[27, 85]],
+  "355680": [[1, 1651]],
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+  "355769": [[1, 541]],
+  "355862": [[121, 133]],
+  "355863": [[1, 14]],
+  "355870": [[31, 67]],
+  "355871": [[1, 5]],
+  "355872": [
+    [1, 738],
+    [758, 995],
+    [997, 1217]
+  ],
+  "355892": [[14, 197]],
+  "355912": [[43, 200]],
+  "355913": [[1, 106]],
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+  "355998": [[1, 35]],
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+  "356004": [[1, 19]],
+  "356005": [[1, 187]],
+  "356043": [[1, 65]],
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+  "356074": [[1, 26]],
+  "356075": [[1, 125]],
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+  "356135": [[46, 71]],
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+    [15, 24],
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+    [37, 46],
+    [48, 57],
+    [59, 68],
+    [70, 89]
+  ],
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+  ],
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+  "362654": [[1, 26]],
+  "362655": [
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+    [143, 144],
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+  "362657": [[1, 198]],
+  "362695": [[39, 372]],
+  "362696": [
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+  "362698": [[1, 374]],
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+}
diff --git a/Analysis/HiggsTauTauRun2/input/json/lumicorr_note.txt b/Analysis/HiggsTauTauRun2/input/json/lumicorr_note.txt
new file mode 100644
index 000000000..0280d62e8
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/input/json/lumicorr_note.txt
@@ -0,0 +1,5 @@
+Cert_Collisions2022_355100_362760_Golden.json is the 2022 Run3 golden json that was divided up to eras (2022_runB.json, 2022_runC.json...)
+for integrated luminosity calculations(brilcalc). The lumicorr files follow this correction:
+'Due to a TCDS malfunction on Sep 29-30, no luminosity measurement is currently available for parts of runs 359571 and 359661. […] we
+recommend to exclude these periods from analyses, to ensure that a proper integrated luminosity estimate is available.'
+Found at: https://twiki.cern.ch/twiki/bin/view/CMS/LumiRecommendationsRun3
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/pileup/2022/pileup_2022_DYJetsToLL-LO_postEE_postEE.root b/Analysis/HiggsTauTauRun2/input/pileup/2022/pileup_2022_DYJetsToLL-LO_postEE_postEE.root
new file mode 100644
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diff --git a/Analysis/HiggsTauTauRun2/input/pileup/2022/pu_2022_full.root b/Analysis/HiggsTauTauRun2/input/pileup/2022/pu_2022_full.root
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diff --git a/Analysis/HiggsTauTauRun2/input/pileup/2022/pu_2022_postEE.root b/Analysis/HiggsTauTauRun2/input/pileup/2022/pu_2022_postEE.root
new file mode 100644
index 0000000000000000000000000000000000000000..62b9408042b1de266bcbe72947dde8c19c2438a4
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literal 0
HcmV?d00001

diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg b/Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg
new file mode 100644
index 000000000..93658ccdb
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg
@@ -0,0 +1,8 @@
+[Defaults]
+channel=tpzmm
+outputfolder=TnP_Plots/
+era=22_preEE
+folder=/vols/cms/eb921/output/output_tnp_2022/
+draw_hists=1
+tree_name=tagandprobe
+tight_tag=False
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP_SF_2022.cfg b/Analysis/HiggsTauTauRun2/scripts/TnP_SF_2022.cfg
new file mode 100644
index 000000000..38ac008b8
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP_SF_2022.cfg
@@ -0,0 +1,4 @@
+[Defaults]
+channel=tpzmm
+year=2022
+input_folder=/vols/cms/eb921/DiTau/CMSSW_10_2_19/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTauRun2/TnP_Plots
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
index e1c224abf..0fb6e8a70 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -174,7 +174,7 @@ def getParaJobSubmit(N):
    temp='job:sequences:all:'+temp
    flatjsons.append(temp)
 
-FILELIST='filelists/July0623_2022-postEE_MC_102X'
+FILELIST='./filelists/Aug1123_2022-postEE_MC_102X'
 
 signal_mc = [ ]
 signal_vh = [ ]
@@ -291,15 +291,27 @@ def getParaJobSubmit(N):
 if options.proc_bkg or options.proc_all:
     central_samples = [
 
-    'DYJetsToLL-LO_postEE',
-    'GluGluHToTauTau_M125_postEE_v2',
-    'GluGluHToTauTau_M125_postEE_v3',
+    'DYJetsToLL-LO',
+    'DYto2TautoMuTauh_M50',
+    'GluGluHToTauTau_M125_v2',
+    'GluGluHToTauTau_M125_v3',
+    'TBbarQ_t-channel_4FS',
     'TTTo2L2Nu',
+    'TTto4Q',
+    'TTtoLNu2Q',
+    'TWminusto2L2Nu',
+    'TWminustoLNu2Q',
+    'TbarBQ_t-channel_4FS',
+    'TbarWplusto2L2Nu',
+    'TbarWplustoLNu2Q',
     'VBFHToTauTau_M125_Poisson60KeepRAW',
     'VBFHToTauTau_M125_v2_Poisson70KeepRAW',
-    'WW_postEE',
-    'WZ_postEE',
-    'ZZ_postEE'
+    'W1JetsToLNu-LO',
+    'W2JetsToLNu-LO',
+    'WJetsToLNu-LO',
+    'WW',
+    'WZ',
+    'ZZ',
     
 
     ]
@@ -320,7 +332,7 @@ def getParaJobSubmit(N):
     for sa in central_samples:
         JOB='%s_postEE_2022' % (sa)
         user='irandreo'
-        PREFIX='July0623_MC_124X_2022-postEE'
+        PREFIX='Aug1123_MC_124X_2022-postEE'
         JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(FILELIST)s_%(sa)s.dat\", \"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(PREFIX)s/\"}, \"sequence\":{\"output_name\":\"%(JOB)s\",%(jetuncert_string)s}}' "%vars());
         
         job_num=0
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
index baa10d4de..fc30a71af 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -3,7 +3,7 @@
 # python scripts/htt_mssm_2018.py --bkg --data --embed --sm --mssm --jetmetuncerts --scales="default,scale_t_0pi,scale_t_1pi,scale_t_3prong,scale_t_3prong1pi0,scale_efake_0pi,scale_efake_1pi,scale_mufake_0pi,scale_mufake_1pi,scale_e" --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
 
 
-# python scripts/htt_2022_preEE.py --data --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+# python scripts/htt_2022_preEE.py --data --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' 
 
 
 # importing libraries
@@ -174,7 +174,7 @@ def getParaJobSubmit(N):
    temp='job:sequences:all:'+temp
    flatjsons.append(temp)
 
-FILELIST='filelists/July0623_2022-preEE_MC_102X'
+FILELIST='filelists/Aug1123_2022-preEE_MC_102X'
 
 signal_mc = [ ]
 signal_vh = [ ]
@@ -205,9 +205,8 @@ def getParaJobSubmit(N):
 
 if options.proc_data or options.proc_all or options.calc_lumi:
 
-    data_samples = []
-    data_eras = ['A','B','B_rereco','C','C_rereco','D','D_rereco']
-  
+    data_samples = ["SingleMuonB_rereco","MuonC_rereco","MuonD_rereco"]
+    data_eras = []
     for chn in channels:
         for era in data_eras:
             if 'mt' in chn or 'zmm' in chn:
@@ -231,13 +230,13 @@ def getParaJobSubmit(N):
           if 'MuonEG'+era not in data_samples: data_samples+=['MuonEG'+era]
           if 'DoubleMuon'+era not in data_samples: data_samples+=['DoubleMuon'+era]
 
-    DATAFILELIST="./filelists/July0623_2022-preEE_Data_102X"
+    DATAFILELIST="./filelists/Aug0223_2022-preEE_Data_102X"
 
     if options.calc_lumi:
         for sa in data_samples:
             JOB='%s_preEE_2022' % (sa)
             user='irandreo'
-            prefix='July0623_Data_124X_2022-preEE'
+            prefix='Aug0223_Data_124X_2022-preEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true,\"lumi_mask_only\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 500 
@@ -257,7 +256,7 @@ def getParaJobSubmit(N):
         for sa in data_samples:
             JOB='%s_preEE_2022' % (sa)
             user='irandreo'
-            prefix='July0623_Data_124X_2022-preEE'
+            prefix='Aug0223_Data_124X_2022-preEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[],\"zmm\":[],\"zee\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 30
@@ -290,14 +289,26 @@ def getParaJobSubmit(N):
 
 if options.proc_bkg or options.proc_all:
     central_samples = [
-        'DYJetsToLL-LO_summer',
-        'GluGluHToTauTau_M125',
-        'TTTo2L2Nu',
-        'VBFHToTauTau_M125',
-        'WW',
-        'WZ',
-        'ZZ',
-        'ZZZ'
+    'DYJetsToLL-LO_summer',
+    'DYto2TautoMuTauh_M50',
+    'GluGluHToTauTau_M125',
+    'TBbarQ_t-channel_4FS',
+    'TTTo2L2Nu',
+    'TTto4Q',
+    'TTtoLNu2Q',
+    'TWminusto2L2Nu',
+    'TWminustoLNu2Q',
+    'TbarBQ_t-channel_4FS',
+    'TbarWplusto2L2Nu',
+    'TbarWplustoLNu2Q',
+    'VBFHToTauTau_M125',
+    'W3JetsToLNu-LO',
+    'WJetsToLNu-LO',
+    'WW',
+    'WZ',
+    'ZZ',
+    'ZZZ'
+        
     
     ]
 
@@ -317,7 +328,7 @@ def getParaJobSubmit(N):
     for sa in central_samples:
         JOB='%s_preEE_2022' % (sa)
         user='irandreo'
-        PREFIX='July0623_MC_124X_2022-preEE'
+        PREFIX='Aug1123_MC_124X_2022-preEE'
         JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(FILELIST)s_%(sa)s.dat\", \"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(PREFIX)s/\"}, \"sequence\":{\"output_name\":\"%(JOB)s\",%(jetuncert_string)s}}' "%vars());
         
         job_num=0
diff --git a/Analysis/HiggsTauTauRun2/scripts/params_2022.json b/Analysis/HiggsTauTauRun2/scripts/params_2022.json
new file mode 100644
index 000000000..317792377
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/params_2022.json
@@ -0,0 +1,168 @@
+{
+  "DYJetsToLL-LO_postEE": {
+    "xs": 6241.39,
+    "evt": 96294972
+  },
+  "DYJetsToLL-LO_summer_preEE": {
+    "xs": 6241.39,
+    "evt": 27309719
+  },
+  "DYto2TautoMuTauh_M50_postEE": {
+    "xs": 53.28,
+    "evt": 10086123
+  },
+  "DYto2TautoMuTauh_M50_preEE": {
+    "xs": 53.28,
+    "evt": 2930689
+  },
+  "GluGluHToTauTau_M125_preEE": {
+    "xs": 3.26,
+    "evt": 297099
+  },
+  "GluGluHToTauTau_M125_v2_postEE": {
+    "xs": 3.26,
+    "evt": 290966
+  },
+  "GluGluHToTauTau_M125_v3_postEE": {
+    "xs": 3.26,
+    "evt": 287979
+  },
+  "TBbarQ_t-channel_4FS_postEE": {
+    "xs": 148.49,
+    "evt": 9575678
+  },
+  "TBbarQ_t-channel_4FS_preEE": {
+    "xs": 148.49,
+    "evt": 2737406
+  },
+  "TTTo2L2Nu_postEE": {
+    "xs": 97.93,
+    "evt": 84351063
+  },
+  "TTTo2L2Nu_preEE": {
+    "xs": 97.93,
+    "evt": 23607463
+  },
+  "TTto4Q_postEE": {
+    "xs": 419.22,
+    "evt": 181209002
+  },
+  "TTto4Q_preEE": {
+    "xs": 419.22,
+    "evt": 53403019
+  },
+  "TTtoLNu2Q_postEE": {
+    "xs": 405.22,
+    "evt": 268316441
+  },
+  "TTtoLNu2Q_preEE": {
+    "xs": 405.22,
+    "evt": 79262483
+  },
+  "TWminusto2L2Nu_postEE": {
+    "xs": 3.24,
+    "evt": 8326120
+  },
+  "TWminusto2L2Nu_preEE": {
+    "xs": 3.24,
+    "evt": 2435393
+  },
+  "TWminustoLNu2Q_postEE": {
+    "xs": 15.12,
+    "evt": 17031091
+  },
+  "TWminustoLNu2Q_preEE": {
+    "xs": 15.12,
+    "evt": 4755067
+  },
+  "TbarBQ_t-channel_4FS_postEE": {
+    "xs": 89.94,
+    "evt": 4818392
+  },
+  "TbarBQ_t-channel_4FS_preEE": {
+    "xs": 89.94,
+    "evt": 1376684
+  },
+  "TbarWplusto2L2Nu_postEE": {
+    "xs": 3.24,
+    "evt": 8548776
+  },
+  "TbarWplusto2L2Nu_preEE": {
+    "xs": 3.24,
+    "evt": 2401387
+  },
+  "TbarWplustoLNu2Q_postEE": {
+    "xs": 15.12,
+    "evt": 16922083
+  },
+  "TbarWplustoLNu2Q_preEE": {
+    "xs": 15.12,
+    "evt": 4490535
+  },
+  "VBFHToTauTau_M125_Poisson60KeepRAW_postEE": {
+    "xs": 0.2567,
+    "evt": 297607
+  },
+  "VBFHToTauTau_M125_preEE": {
+    "xs": 0.2567,
+    "evt": 298942
+  },
+  "VBFHToTauTau_M125_v2_Poisson70KeepRAW_postEE": {
+    "xs": 0.2567,
+    "evt": 295621
+  },
+  "W1JetsToLNu-LO_postEE": {
+    "xs": 62243.04,
+    "evt": 348456687
+  },
+  "W2JetsToLNu-LO_postEE": {
+    "xs": 62243.04,
+    "evt": 348456687
+  },
+  "W3JetsToLNu-LO_preEE": {
+    "xs": 62243.04,
+    "evt": 87900584
+  },
+  "WJetsToLNu-LO_postEE": {
+    "xs": 62243.04,
+    "evt": 348456687
+  },
+  "WJetsToLNu-LO_preEE": {
+    "xs": 62243.04,
+    "evt": 87900584
+  },
+  "WW_postEE": {
+    "xs": 80.23,
+    "evt": 53507682
+  },
+  "WW_preEE": {
+    "xs": 80.23,
+    "evt": 15641372
+  },
+  "WZ_postEE": {
+    "xs": 29.1,
+    "evt": 26987194
+  },
+  "WZ_preEE": {
+    "xs": 29.1,
+    "evt": 7530526
+  },
+  "ZZZ_preEE": {
+    "xs": 0.01591,
+    "evt": 1751542
+  },
+  "ZZ_postEE": {
+    "xs": 12.75,
+    "evt": 4096926
+  },
+  "ZZ_preEE": {
+    "xs": 12.75,
+    "evt": 1186822
+  },
+  "Muon": {
+    "lumi": 7423
+  },
+  "Tau": {
+    "lumi": 35181
+  }
+}
\ No newline at end of file

From cf29107a0f69a466845a44ca0e70111d9f3bec71 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 22 Aug 2023 14:45:09 +0100
Subject: [PATCH 36/50] Update 2022 config files

---
 .../scripts/config_2022_postEE.json                |  4 ++--
 .../HiggsTauTauRun2/scripts/config_2022_preEE.json | 14 +++++++-------
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
index c8c467b11..a3023ae6e 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
@@ -86,8 +86,8 @@
     "hadronic_tau_selector" : 0,
     "run_gen_info"  : false,
     "do_pu_wt"      : true,
-    "data_pu_file"  : "input/pileup/2018UL/PileupHistogram-goldenJSON-13tev-2018-69200ub-99bins.root",
-    "mc_pu_file"    : "input/pileup/2018UL/pileup_2018_DYJetsToLL-LO.root",
+    "data_pu_file"  : "input/pileup/2022/pu_2022_postEE.root",
+    "mc_pu_file"    : "input/pileup/2022/pileup_2022_DYJetsToLL-LO_postEE_postEE.root",
     "run_trg_filter": false,
     "baseline": {
       "tau_scale_mode"    : true,
diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
index 7ca091520..a51553125 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_preEE.json
@@ -6,7 +6,7 @@
     "timings":      true,
    //"channels":     ["mt","et","tt","zmm","zee","em"],
    // "channels":     ["mt","zmm","tt","et"],
-    "channels":     ["tt"],
+    "channels":     ["mt"],
 //   "channels":     ["tt","mt","et","em","zmm","zee"],
     "sequences": {
       "all":  ["default"]
@@ -22,7 +22,7 @@
   "sequence": {
     // "do_mssm_higgspt" : true,
     // "mssm_higgspt_file" : "/vols/build/cms/gu18/CMSSW_8_0_25/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTau2/input/mssm_higgspt/higgs_pt_v2_mssm_mode.root",
-    "usePFMET" : true,
+    "usePFMET" : false,
     "do_gen_analysis" : false,
     "mc"            : "mc2018",
     "era"           : "data_2022_preEE",
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/vols/cms/eb921/output/tt_2022",
+    "output_folder" : "/vols/cms/eb921/output/output_mt_2022",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
@@ -86,8 +86,8 @@
     "hadronic_tau_selector" : 0,
     "run_gen_info"  : false,
     "do_pu_wt"      : true,
-    "data_pu_file"  : "input/pileup/2018UL/PileupHistogram-goldenJSON-13tev-2018-69200ub-99bins.root",
-    "mc_pu_file"    : "input/pileup/2018UL/pileup_2018_DYJetsToLL-LO.root",
+    "data_pu_file"  : "input/pileup/2022/pu_2022_preEE.root",
+    "mc_pu_file"    : "input/pileup/2022/pileup_2022_DYJetsToLL-LO_summer_preEE.root",
     "run_trg_filter": false,
     "baseline": {
       "tau_scale_mode"    : true,
@@ -191,8 +191,8 @@
         "max_extra_muons": 1,
         "do_tau_anti_muon": true,
         "do_tau_anti_elec":true,
-        "do_ff_weights" : true,
-        "do_ff_systematics": true,
+        "do_ff_weights" : false,
+        "do_ff_systematics": false,
         "ff_categories" :"inclusive",
         "ff_file" : "input/fake_factors/fakefactors_ws_mt_lite_2018.root",
         "ff_fracs_file" : ""

From b26a7ae12f56715beefd43d7b92b2f84a36640a1 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 22 Aug 2023 16:46:06 +0100
Subject: [PATCH 37/50] Set correct datasets in TnP.py

---
 Analysis/HiggsTauTauRun2/scripts/TnP.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP.py b/Analysis/HiggsTauTauRun2/scripts/TnP.py
index cef8e6acc..b9561ee7c 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP.py
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP.py
@@ -974,7 +974,7 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
     elif options.era == 'UL_18':
         data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
     elif options.era == '22_preEE':
-        data_samples = ['SingleMuonA_rereco_preEE','SingleMuonB_rereco_preEE','SingleMuonC_rereco_preEE','MuonD_rereco_preEE']        
+        data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']        
     
 if  options.channel == 'tpzee': 
     if options.era == 'UL_16preVFP': data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']

From a2b4b68b8b5b1d476ac66a1b9877d19508a4b6ec Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 22 Aug 2023 16:59:22 +0100
Subject: [PATCH 38/50] Update TnP config file

---
 Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg b/Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg
index 93658ccdb..5749b649b 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP_2022.cfg
@@ -2,7 +2,6 @@
 channel=tpzmm
 outputfolder=TnP_Plots/
 era=22_preEE
-folder=/vols/cms/eb921/output/output_tnp_2022/
+folder=/vols/cms/eb921/test_output/output_tpzmm_2022/
 draw_hists=1
-tree_name=tagandprobe
-tight_tag=False
\ No newline at end of file
+tree_name=tagandprobe
\ No newline at end of file

From 80319e7c3d06dde2b53a782d2e0778596c383267 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Tue, 22 Aug 2023 17:05:06 +0100
Subject: [PATCH 39/50] Add histogram delete

---
 Analysis/HiggsTauTauRun2/scripts/TnP_SF.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py b/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py
index 4342f061e..5a539f60d 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP_SF.py
@@ -285,5 +285,9 @@
         canvas.SaveAs("{}/{}_SF_{}_{}_{}.pdf".format(plots_folder,file_name,name,h_SF.GetYaxis().GetBinLowEdge(j),h_SF.GetYaxis().GetBinUpEdge(j)))
         canvas.Update()
         canvas.Close()
-
+        del canvas
+        del histo1
+        if options.embed: del histo2
+  del h_SF
+  if options.embed: del h_SF_EMB 
 

From ae1547cf575355f8e0bc499f00cbdfeceb9a72a8 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 23 Aug 2023 11:16:16 +0100
Subject: [PATCH 40/50] Update HiggsTauTauPlot_Run3.py

---
 .../scripts/HiggsTauTauPlot_Run3.py           | 44 ++++++++++---------
 1 file changed, 24 insertions(+), 20 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
index bf1b33f0f..d330b1c3b 100644
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
@@ -64,7 +64,7 @@
     "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
     "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
     "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
-    "no_qcd_subtract": False, "tt_qcd_sel_num": 0,"scale_by_bin":False
+    "no_qcd_subtract": False, "tt_qcd_sel_num": 3,"scale_by_bin":False
 
 }
 
@@ -503,7 +503,7 @@
           cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>25&&pt_1<23)||(trg_singlemuon&&pt_1>23)))'
         if options.era in ['tauid2017']:
           cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && pt_1>25 && trg_singlemuon &&pt_2>20)'
-        if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
+        if options.era in ['cpsummer17','UL_17','cp18','UL_18','22']:
           cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>32&&pt_1<25)||(trg_singlemuon&&pt_1>25)) && wt<2)'
         if options.era in ['tauid2016']: 
           cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon && pt_1>23)'
@@ -626,7 +626,7 @@
 elif options.channel == 'zmm':
     cats['baseline'] = '(iso_1<0.15 && iso_2<0.15)'
     if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
-    if options.era in ['cpsummer17','UL_17','cp18','UL_18']: cats['baseline'] = '(pt_1>25 && iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
+    if options.era in ['cpsummer17','UL_17','cp18','UL_18','22']: cats['baseline'] = '(pt_1>25 && iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
 elif options.channel == 'zee':
     cats['baseline'] = '(iso_1<0.1 && iso_2<0.1)'
     if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.1 && iso_2<0.1 && trg_singleelectron && fabs(wt)<2)'
@@ -1585,29 +1585,30 @@
         data_samples = ['TauA','TauB','TauC','TauD']
 
 if options.era in ['22']:
-    if (options.DY_NLO==False):
-        ztt_samples = ['DYJetsToLL-LO_postEE_postEE','DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
-        #ztt_samples = ['DYJetsToLL-LO']
-    else:
-        ztt_samples = ['DYJetsToLL-LO_postEE_postEE','DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
+    # if (options.DY_NLO==False):
+    #     ztt_samples = ['DYJetsToLL-LO_summer_preEE']
+    # else:
+    #     ztt_samples = ['DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-LO_postEE_postEE','DYJetsToLL-LO_summer_preEE']
+    ztt_samples = ['DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-LO_summer_preEE','DYto2TautoMuTauh_M50_preEE']
 
-    #ztt_samples = ['DYJetsToLL-NLO']
-    #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL_M-10to50-LO']
-    top_samples = ['TTTo2L2Nu_postEE','TTTo2L2Nu_preEE']#['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-    vv_samples = ['WW_postEE_postEE','WZ_postEE_postEE','ZZ_postEE_postEE','WW_preEE','WZ_preEE','ZZ_preEE','ZZZ_preEE']#['WZTo1L1Nu2Q','WZTo3LNu','WWTo1L1Nu2Q','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','Tbar-t','Tbar-tW','T-t','T-tW']
+    top_samples = ['TTTo2L2Nu_preEE','TTto4Q_preEE','TTtoLNu2Q_preEE']#['TTTo2L2Nu_postEE','TTTo2L2Nu_preEE']
+    vv_samples = ['WW_preEE','WZ_preEE','ZZ_preEE','TWminusto2L2Nu_preEE',
+    'TWminustoLNu2Q_preEE','TbarWplusto2L2Nu_preEE',
+    'TbarWplustoLNu2Q_preEE','TbarBQ_t-channel_4FS_preEE','TBbarQ_t-channel_4FS_preEE']#['WW_postEE_postEE','WZ_postEE_postEE','ZZ_postEE_postEE','WW_preEE','WZ_preEE','ZZ_preEE']#'ZZZ_preEE'
     # if options.analysis in ['mssmrun2','vlq']:
         # vv_samples = [
               # 'T-tW', 'Tbar-tW','Tbar-t','T-t',
               # 'WZTo3LNu','ZZTo4L']
-    wjets_samples = []#['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
+    wjets_samples = ['W3JetsToLNu-LO_preEE',
+    'WJetsToLNu-LO_preEE']#['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
     wgam_samples = []#['WGToLNuG']
     ewkz_samples = []#['EWKZ2Jets_ZToLL']
-    gghww_samples = ['']
-    qqhww_samples = ['']   
+    gghww_samples = []
+    qqhww_samples = []   
  
     if options.channel in ['mt','zmm','mj']:
-        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
-        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauA','TauB','TauC','TauD']
+        data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']
+        # if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauB_rereco_preEE','TauC_rereco_preEE','TauD_rereco_preEE']
     if options.channel == 'em':
         data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
     if options.channel == 'et' or options.channel == 'zee':
@@ -5049,6 +5050,9 @@ def RawFFFromString(string):
   if options.channel == 'em':
       ana.remaps['MuonEG'] = 'data_obs'
   elif options.channel in ['mt','mj','zmm']:
+    if options.era == '22':
+      ana.remaps['Muon'] = 'data_obs'
+    else:
       ana.remaps['SingleMuon'] = 'data_obs'
   elif (options.era != 'cp18' and options.era != 'UL_18') and (options.channel == 'et' or options.channel == 'zee'):
       ana.remaps['SingleElectron'] = 'data_obs'
@@ -5209,8 +5213,8 @@ def RawFFFromString(string):
           do_data = False
       if options.scheme == "noTT":
           samples_to_skip.extend(["TTT","TTJ"])
-      if options.scheme == "noWandEWKZ":
-          samples_to_skip.extend(['TTT','TTJ','W','EWKZ'])
+      if options.scheme == "noEWKZ":
+          samples_to_skip.extend(['EWKZ'])
       RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, add_name, weight, do_data, samples_to_skip,outfile,ff_syst_weight)
       #if options.era == "tauid2016" and options.channel in ['et','mt']: 
       #    RunPlotting(ana, cats['pass']+'&&'+cats['baseline'], cats_unmodified['pass']+'&&'+cats_unmodified['baseline'], sel, "pass"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
@@ -5604,7 +5608,7 @@ def MergeXBins(hist):
     scheme = options.channel
     if compare_w_shapes: scheme = 'w_shape'
     if compare_qcd_shapes: scheme = 'qcd_shape'
-    if options.scheme != "" and options.scheme != "noWandEWKZ": scheme = options.scheme
+    if options.scheme != "" and options.scheme != "noEWKZ"and options.scheme != "noTT": scheme = options.scheme
     FF = options.method in [17,18]
     if options.ml_ff:
       options.w_ff_closure = False

From 855f08a678174833f681fd2b1475fbaee054a1b5 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 23 Aug 2023 13:17:49 +0100
Subject: [PATCH 41/50] Update scale factors

---
 .../scale_factors/htt_scalefactors_2022.root    | Bin 59007 -> 0 bytes
 .../htt_scalefactors_2022_noZpt.root            | Bin 49939 -> 0 bytes
 .../htt_scalefactors_2022preEE.root             | Bin 0 -> 59092 bytes
 .../htt_scalefactors_2022preEE_noZpt.root       | Bin 0 -> 50005 bytes
 .../scripts/zpt_control_plots.py                |  12 +++++++-----
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc     |   9 +++++++--
 6 files changed, 14 insertions(+), 7 deletions(-)
 delete mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022.root
 delete mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022_noZpt.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022preEE.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022preEE_noZpt.root

diff --git a/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022.root b/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022.root
deleted file mode 100644
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GIT binary patch
literal 0
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literal 0
HcmV?d00001

diff --git a/Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py b/Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py
index f097b3324..f6ad118ef 100644
--- a/Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py
+++ b/Analysis/HiggsTauTauRun2/scripts/zpt_control_plots.py
@@ -2,11 +2,13 @@
 import json
 import numpy as np
 
-DO_ZPT_CONTROL = False
-DO_CONTROL = True
-
+DO_ZPT_CONTROL = True
+DO_CONTROL = False
 DO_SS = False
 
+FOLDER = "/vols/cms/eb921/test_output/output_zmm_2022/"
+ZPTFOLDER = "/vols/cms/eb921/test_output/output_zmm_Zpt_2022/"
+
 if DO_ZPT_CONTROL or DO_CONTROL:
   variables = [
       'pt_tt[0,10,20,30,40,60,80,100,120,160,200,280,320,400,600]',
@@ -40,11 +42,11 @@
     #Factor out wt_dysoup if it is wrongly not 1
     #extra+=' --add_wt="1/wt_dysoup"'
     if DO_ZPT_CONTROL:
-      extra+= ' --folder="/vols/cms/eb921/output/output_zmm_Zpt_2022/"'
+      extra+= ' --folder="%s"'%ZPTFOLDER
       extra+= ' --extra_name=mvis50_Zpt'
       extra+= ' --sel="(m_vis>50)"'
     else:
-      extra+= ' --folder="/vols/cms/eb921/output/output_zmm_2022/"'
+      extra+= ' --folder="%s"'%FOLDER
       if DO_CONTROL:
         extra+= ' --extra_name=mvis50'
         extra+= ' --sel="(m_vis>50)"'
diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index d06bbe888..09800e4eb 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -777,8 +777,13 @@ if(era_type == era::data_2018UL) {
    scalefactor_file_ggh = "input/ggh_weights/htt_scalefactors_2017_MGggh.root";
    scalefactor_file_UL = "input/scale_factors/htt_scalefactors_UL_2018.root";
 }
-if(era_type == era::data_2022_preEE || era_type == era::data_2022_postEE) {
-   scalefactor_file = "input/scale_factors/htt_scalefactors_2022.root";
+if(era_type == era::data_2022_preEE) {
+   scalefactor_file = "input/scale_factors/htt_scalefactors_2022preEE.root";
+   scalefactor_file_ggh = "input/ggh_weights/htt_scalefactors_2017_MGggh.root";
+   scalefactor_file_UL = "";
+}
+if(era_type == era::data_2022_postEE) {
+   scalefactor_file = "input/scale_factors/htt_scalefactors_2022postEE.root";
    scalefactor_file_ggh = "input/ggh_weights/htt_scalefactors_2017_MGggh.root";
    scalefactor_file_UL = "";
 }

From 02ebeb8bccd9a9a735967d1e6c1d1ec9eaa37aba Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 23 Aug 2023 13:52:55 +0100
Subject: [PATCH 42/50] Script for mt control plots

---
 .../scripts/mt_control_plots.py               | 51 +++++++++++++++++++
 .../HiggsTauTauRun2/scripts/mt_plot_2022.cfg  | 15 ++++++
 2 files changed, 66 insertions(+)
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py
 create mode 100644 Analysis/HiggsTauTauRun2/scripts/mt_plot_2022.cfg

diff --git a/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py b/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py
new file mode 100644
index 000000000..93c134352
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py
@@ -0,0 +1,51 @@
+import os
+import json
+import numpy as np
+
+
+DO_SS = False
+DOTAUDECAY=False
+
+
+variables = [
+      'pt_tt[0,10,20,30,40,60,80,100,120,160,200,280,320,400,600]',
+      'm_vis(20,0,200)',
+      'eta_1(30,-3,3)',
+      'eta_2(30,-3,3)',
+     'n_jets(4,0,4)', 
+      'pt_1(20,0,200)',
+     'pt_2(20,0,200)',
+     'mt_1(30,0,300)',
+     'mt_2(30,0,300)'
+]
+if DOTAUDECAY:
+  TauModes = ["0","1","10","11"] #10 seems best
+else: 
+  TauModes =[None]
+
+
+for v in variables:
+  for mode in TauModes:
+    v_tt = v
+    extra=' --ratio_range=\"0.6,1.4\" '
+    extra += ' --v2p5'
+    #Factor out Run2 top weight
+    extra+=' --add_wt="wt_tquark_down"'
+    #extra+= ' --singletau'
+    extra+= ' --folder="/vols/cms/eb921/output/output_mt_2022/"'
+    if DOTAUDECAY:
+      extra+= ' --sel="(mt_1<70 && m_vis>50&&m_vis<80 && tau_decay_mode_2==%s)"'%mode
+      try:
+          path = 'mt_plots/taumode_%s'%mode
+          os.mkdir(path)
+          print("Directory '%(path)s' created"% vars())
+      except OSError as error:
+          print("Directory '%(path)s' can not be created: %(error)s"% vars())
+      extra+= ' --outputfolder="%s"'%path
+    else:
+      extra+= ' --sel="(mt_1<70 && m_vis>50&&m_vis<80)"'
+      extra+= ' --outputfolder="mt_plots"'
+    os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --cfg scripts/mt_plot_2022.cfg --var=\"%(v_tt)s\"' % vars() )
+    if DO_SS:
+      os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --do_ss --do_aiso --cfg scripts/mt_plot_2022.cfg --var=\"%(v_tt)s\"' % vars() )            
+    
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/mt_plot_2022.cfg b/Analysis/HiggsTauTauRun2/scripts/mt_plot_2022.cfg
new file mode 100644
index 000000000..3cc83b2aa
--- /dev/null
+++ b/Analysis/HiggsTauTauRun2/scripts/mt_plot_2022.cfg
@@ -0,0 +1,15 @@
+[Defaults]
+analysis=mssmrun2
+paramfile=scripts/params_2022.json
+era=22
+sm_masses=""
+draw_signal_mass=""
+year=2022
+norm_bins=True
+ratio=True
+lumi=7.4 fb^{-1} (13.6 TeV)
+vbf_background=False
+wp=medium
+channel=mt
+method=12
+#scheme=noTT
\ No newline at end of file

From 8b1f0e9c0bf991a79ab461e19b2bee8892eea41c Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Wed, 23 Aug 2023 15:24:20 +0100
Subject: [PATCH 43/50] Small correction to stitching

---
 Analysis/HiggsTauTauRun2/src/HTTSequence.cc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
index 09800e4eb..33cfc71e9 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTSequence.cc
@@ -886,11 +886,11 @@ if(channel!=channel::tpzee&&channel!=channel::tpzmm){
       httStitching.SetWInputYields(82360950, 47850048, 27411802, 18297679, 9130068);
     }
     if(era_type == era::data_2022_preEE){
-      httStitching.SetWInputCrossSections(1.0,1.0,1.0,0.0156,1.0);
+      httStitching.SetWInputCrossSections(1.0,1.0,1.0,0.0184,1.0);
       httStitching.SetWInputYields(87900584, 0, 0, 8214147, 0);
     }
     if(era_type == era::data_2022_postEE){
-      httStitching.SetWInputCrossSections(1.0,0.1651,0.0528,1.0,1.0);
+      httStitching.SetWInputCrossSections(1.0,0.1522,0.0515,1.0,1.0);
       httStitching.SetWInputYields(348456687, 42838501, 36384428, 0, 0);
     }      
   }

From 6bfdb3c8089a5e2987bd28050805ca29940a976b Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Fri, 25 Aug 2023 10:15:07 +0100
Subject: [PATCH 44/50] Add postEE Tnp

---
 .../Aug0223_2022_Data_postEE_filelists.tgz      | Bin 0 -> 41184 bytes
 Analysis/HiggsTauTauRun2/scripts/TnP.py         |   5 ++++-
 .../scripts/config_2022_postEE.json             |  10 +++++-----
 .../scripts/hadd_22_postEE_output.py            |   4 ++++
 .../HiggsTauTauRun2/scripts/htt_2022_postEE.py  |  12 ++++++------
 5 files changed, 19 insertions(+), 12 deletions(-)
 create mode 100644 Analysis/HiggsTauTauRun2/filelists/Aug0223_2022_Data_postEE_filelists.tgz

diff --git a/Analysis/HiggsTauTauRun2/filelists/Aug0223_2022_Data_postEE_filelists.tgz b/Analysis/HiggsTauTauRun2/filelists/Aug0223_2022_Data_postEE_filelists.tgz
new file mode 100644
index 0000000000000000000000000000000000000000..0a5af68eaaad13162b791f3e00a3721f3d7f14da
GIT binary patch
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diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP.py b/Analysis/HiggsTauTauRun2/scripts/TnP.py
index b9561ee7c..19024060f 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP.py
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP.py
@@ -974,7 +974,9 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
     elif options.era == 'UL_18':
         data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
     elif options.era == '22_preEE':
-        data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']        
+        data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE'] 
+    elif options.era == '22_postEE':
+        data_samples = ['MuonE_rereco_postEE','MuonF_postEE','MuonG_postEE']       
     
 if  options.channel == 'tpzee': 
     if options.era == 'UL_16preVFP': data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
@@ -999,6 +1001,7 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
 elif options.era == 'UL_17':  ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1']
 elif options.era == 'UL_18': ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1']
 elif options.era == '22_preEE': ztt_samples = ['DYJetsToLL-LO_summer_preEE']
+elif options.era == '22_postEE': ztt_samples = ['DYJetsToLL-LO_postEE']
 
 #Formula:  abs(eta_2),pt_2,m_vis[0,0.1,0.3,0.8,1.0,1.2,1.6,1.8,2.1,2.4],[10,15,17,19,21,23,24,25,26,27,28,31,34,37,40,45,50,60,70,100,1000],(40,70,110) (wt)*((m_vis>50&&m_vis<150&&pt_1>28&&abs(eta_1)<2.1&&iso_1<0.15&&id_tag_1&&trg_tag_1&&os)*(1&&id_probe_1))*(os)*(1)*(!(trg_probe_2))
 ROOT.TH1.SetDefaultSumw2(True)
diff --git a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
index a3023ae6e..4a7566e1c 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_2022_postEE.json
@@ -6,7 +6,7 @@
     "timings":      true,
    //"channels":     ["mt","et","tt","zmm","zee","em"],
    // "channels":     ["mt","zmm","tt","et"],
-    "channels":     ["tt"],
+    "channels":     ["mt"],
 //   "channels":     ["tt","mt","et","em","zmm","zee"],
     "sequences": {
       "all":  ["default"]
@@ -22,7 +22,7 @@
   "sequence": {
     // "do_mssm_higgspt" : true,
     // "mssm_higgspt_file" : "/vols/build/cms/gu18/CMSSW_8_0_25/src/UserCode/ICHiggsTauTau/Analysis/HiggsTauTau2/input/mssm_higgspt/higgs_pt_v2_mssm_mode.root",
-    "usePFMET" : true,
+    "usePFMET" : false,
     "do_gen_analysis" : false,
     "mc"            : "mc2018",
     "era"           : "data_2022_postEE",
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/vols/cms/eb921/output/tt_2022",
+    "output_folder" : "/vols/cms/eb921/test_output/output_mt_2022postEE",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
@@ -191,8 +191,8 @@
         "max_extra_muons": 1,
         "do_tau_anti_muon": true,
         "do_tau_anti_elec":true,
-        "do_ff_weights" : true,
-        "do_ff_systematics": true,
+        "do_ff_weights" : false,
+        "do_ff_systematics": false,
         "ff_categories" :"inclusive",
         "ff_file" : "input/fake_factors/fakefactors_ws_mt_lite_2018.root",
         "ff_fracs_file" : ""
diff --git a/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py b/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
index e5d299907..53a666c5a 100755
--- a/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
+++ b/Analysis/HiggsTauTauRun2/scripts/hadd_22_postEE_output.py
@@ -54,6 +54,10 @@ def list_paths(path):
          'TauE_rereco_postEE',
          'TauF_postEE',
          'TauG_postEE',
+         'MuonE_rereco_postEE',
+         'MuonE_postEE',
+         'MuonF_postEE',
+         'MuonG_postEE',
          
          #MC postEE
 
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
index 0fb6e8a70..1396c4edb 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_postEE.py
@@ -3,7 +3,7 @@
 # python scripts/htt_mssm_2018.py --bkg --data --embed --sm --mssm --jetmetuncerts --scales="default,scale_t_0pi,scale_t_1pi,scale_t_3prong,scale_t_3prong1pi0,scale_efake_0pi,scale_efake_1pi,scale_mufake_0pi,scale_mufake_1pi,scale_e" --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
 
 
-# python scripts/htt_2022_postEE.py --data --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"' --parajobs
+# python scripts/htt_2022_postEE.py --data --bkg --submit='./scripts/submit_ic_batch_job.sh "hep.q -l h_rt=0:180:0 -l h_vmem=24G"'
 
 
 # importing libraries
@@ -205,8 +205,8 @@ def getParaJobSubmit(N):
 
 if options.proc_data or options.proc_all or options.calc_lumi:
 
-    data_samples = []
-    data_eras = ['E','E_rereco','F','G']
+    data_samples = ["MuonE_rereco","MuonF","MuonG"]
+    data_eras = []
   
     for chn in channels:
         for era in data_eras:
@@ -231,13 +231,13 @@ def getParaJobSubmit(N):
           if 'MuonEG'+era not in data_samples: data_samples+=['MuonEG'+era]
           if 'DoubleMuon'+era not in data_samples: data_samples+=['DoubleMuon'+era]
 
-    DATAFILELIST="./filelists/July0623_2022-postEE_Data_102X"
+    DATAFILELIST="./filelists/Aug0223_2022-postEE_Data_102X"
 
     if options.calc_lumi:
         for sa in data_samples:
             JOB='%s_postEE_2022' % (sa)
             user='irandreo'
-            prefix='July0623_Data_124X_2022-postEE'
+            prefix='Aug0223_Data_124X_2022-postEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true,\"lumi_mask_only\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 500 
@@ -257,7 +257,7 @@ def getParaJobSubmit(N):
         for sa in data_samples:
             JOB='%s_postEE_2022' % (sa)
             user='irandreo'
-            prefix='July0623_Data_124X_2022-postEE'
+            prefix='Aug0223_Data_124X_2022-postEE'
             JSONPATCH= (r"'{\"job\":{\"filelist\":\"%(DATAFILELIST)s_%(sa)s.dat\",\"file_prefix\":\"root://gfe02.grid.hep.ph.ic.ac.uk:1097//store/user/%(user)s/%(prefix)s/\",\"sequences\":{\"em\":[],\"et\":[],\"mt\":[],\"tt\":[],\"zmm\":[],\"zee\":[]}}, \"sequence\":{\"output_name\":\"%(JOB)s\",\"is_data\":true}}' "%vars());
             nfiles = sum(1 for line in open('%(DATAFILELIST)s_%(sa)s.dat' % vars()))
             nperjob = 30

From ebc6068417271dd815122e8d4cbf11ed2f376ad6 Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Mon, 4 Sep 2023 10:19:48 +0100
Subject: [PATCH 45/50] Add and update scale factors

---
 ...corr_note.txt => README_lumicorr_note.txt} |   7 ++++---
 .../htt_scalefactors_2022postEE.root          | Bin 0 -> 58975 bytes
 .../htt_scalefactors_2022postEE_noZpt.root    | Bin 0 -> 49927 bytes
 .../htt_scalefactors_2022preEE.root           | Bin 59092 -> 59110 bytes
 .../HiggsTauTauRun2/scripts/params_2022.json  |   2 +-
 5 files changed, 5 insertions(+), 4 deletions(-)
 rename Analysis/HiggsTauTauRun2/input/json/{lumicorr_note.txt => README_lumicorr_note.txt} (64%)
 create mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE.root
 create mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE_noZpt.root

diff --git a/Analysis/HiggsTauTauRun2/input/json/lumicorr_note.txt b/Analysis/HiggsTauTauRun2/input/json/README_lumicorr_note.txt
similarity index 64%
rename from Analysis/HiggsTauTauRun2/input/json/lumicorr_note.txt
rename to Analysis/HiggsTauTauRun2/input/json/README_lumicorr_note.txt
index 0280d62e8..4d6e5d1db 100644
--- a/Analysis/HiggsTauTauRun2/input/json/lumicorr_note.txt
+++ b/Analysis/HiggsTauTauRun2/input/json/README_lumicorr_note.txt
@@ -1,5 +1,6 @@
-Cert_Collisions2022_355100_362760_Golden.json is the 2022 Run3 golden json that was divided up to eras (2022_runB.json, 2022_runC.json...)
-for integrated luminosity calculations(brilcalc). The lumicorr files follow this correction:
+Cert_Collisions2022_355100_362760_Golden.json is the 2022 Run3 golden json that was split up into eras (2022_runB.json, 2022_runC.json...)
+for brilcalc calculations. The lumicorr files follow this correction:
 'Due to a TCDS malfunction on Sep 29-30, no luminosity measurement is currently available for parts of runs 359571 and 359661. […] we
 recommend to exclude these periods from analyses, to ensure that a proper integrated luminosity estimate is available.'
-Found at: https://twiki.cern.ch/twiki/bin/view/CMS/LumiRecommendationsRun3
\ No newline at end of file
+Found at: https://twiki.cern.ch/twiki/bin/view/CMS/LumiRecommendationsRun3
+i.e. runs 359571 and 359661 are excluded from "lumicorrr" json files
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE.root b/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE.root
new file mode 100644
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diff --git a/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE_noZpt.root b/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE_noZpt.root
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diff --git a/Analysis/HiggsTauTauRun2/scripts/params_2022.json b/Analysis/HiggsTauTauRun2/scripts/params_2022.json
index 317792377..876dcd204 100644
--- a/Analysis/HiggsTauTauRun2/scripts/params_2022.json
+++ b/Analysis/HiggsTauTauRun2/scripts/params_2022.json
@@ -160,7 +160,7 @@
     "evt": 1186822
   },
   "Muon": {
-    "lumi": 7423
+    "lumi": 33989
   },
   "Tau": {
     "lumi": 35181

From ab9b67237f6ea6993231576451d61ef00bdb09dd Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Mon, 4 Sep 2023 18:57:27 +0100
Subject: [PATCH 46/50] mt control plots upgrade

---
 Analysis/HiggsTauTauRun2/scripts/TnP.py       |  4 +--
 .../scripts/mt_control_plots.py               | 26 ++++++++++++++-----
 Analysis/HiggsTauTauRun2/src/HTTWeights.cc    |  2 +-
 3 files changed, 21 insertions(+), 11 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP.py b/Analysis/HiggsTauTauRun2/scripts/TnP.py
index 19024060f..c78cce0a8 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP.py
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP.py
@@ -1099,9 +1099,7 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
     ana.nodes.AddNode(ListNode(nodename))
     
     ana.remaps = {}
-    if options.channel =='tpzmm': 
-      ana.remaps['SingleMuon'] = 'data_obs'
-      #ana.remaps['Muon'] = 'data_obs'
+    if options.channel =='tpzmm': ana.remaps['SingleMuon'] = 'data_obs'
     elif options.channel == 'tpzee':
         if options.era in ['UL_18']: ana.remaps['EGamma'] = 'data_obs'
         else: ana.remaps['SingleElectron'] = 'data_obs'
diff --git a/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py b/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py
index 93c134352..e1febc827 100644
--- a/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py
+++ b/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py
@@ -6,10 +6,12 @@
 DO_SS = False
 DOTAUDECAY=False
 
+INPUT_FOLDER='/vols/cms/eb921/test_output/output_mt2_2022/'
+OUTPUT_FOLDER='mt_plots'
 
 variables = [
-      'pt_tt[0,10,20,30,40,60,80,100,120,160,200,280,320,400,600]',
-      'm_vis(20,0,200)',
+     'pt_tt[0,10,20,30,40,60,80,100,120,160,200,280,320,400,600]',
+       'm_vis(20,0,200)',
       'eta_1(30,-3,3)',
       'eta_2(30,-3,3)',
      'n_jets(4,0,4)', 
@@ -32,19 +34,29 @@
     #Factor out Run2 top weight
     extra+=' --add_wt="wt_tquark_down"'
     #extra+= ' --singletau'
-    extra+= ' --folder="/vols/cms/eb921/output/output_mt_2022/"'
+    extra+= ' --folder="%s"'%INPUT_FOLDER
     if DOTAUDECAY:
-      extra+= ' --sel="(mt_1<70 && m_vis>50&&m_vis<80 && tau_decay_mode_2==%s)"'%mode
+      if v=='mt_1(30,0,300)':
+        extra+= ' --sel="(m_vis>50&&m_vis<80 && tau_decay_mode_2==%s)"'%mode
+      elif v=='m_vis(20,0,200)':
+        extra+= ' --sel="(mt_1<70 && tau_decay_mode_2==%s)"'%mode
+      else:
+        extra+= ' --sel="(mt_1<70 && m_vis>50&&m_vis<80 && tau_decay_mode_2==%s)"'%mode
       try:
-          path = 'mt_plots/taumode_%s'%mode
+          path = '%s/taumode_%s'%(OUTPUT_FOLDER,mode)
           os.mkdir(path)
           print("Directory '%(path)s' created"% vars())
       except OSError as error:
           print("Directory '%(path)s' can not be created: %(error)s"% vars())
       extra+= ' --outputfolder="%s"'%path
     else:
-      extra+= ' --sel="(mt_1<70 && m_vis>50&&m_vis<80)"'
-      extra+= ' --outputfolder="mt_plots"'
+      if v=='mt_1(30,0,300)':
+        extra+= ' --sel="(m_vis>50&&m_vis<80)"'
+      elif v=='m_vis(20,0,200)':
+        extra+= ' --sel="(mt_1<70)"'
+      else:
+        extra+= ' --sel="(mt_1<70 && m_vis>50&&m_vis<80)"'
+      extra+= ' --outputfolder="%s"'%OUTPUT_FOLDER
     os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --cfg scripts/mt_plot_2022.cfg --var=\"%(v_tt)s\"' % vars() )
     if DO_SS:
       os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --do_ss --do_aiso --cfg scripts/mt_plot_2022.cfg --var=\"%(v_tt)s\"' % vars() )            
diff --git a/Analysis/HiggsTauTauRun2/src/HTTWeights.cc b/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
index 2272553ca..1aae33693 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTWeights.cc
@@ -959,7 +959,7 @@ int HTTWeights::PreAnalysis() {
     }
     }
 
-// These are the factors that are also available in Run 3
+// These are the factors that are also available in Run 3, 2022 as of August 2023
     fns_["m_trg_binned_mc"] = std::shared_ptr<RooFunctor>(  w_->function("m_trg_binned_ic_mc")->functor(w_->argSet("m_pt,m_eta,m_iso")));
     fns_["m_trg_binned_data"] = std::shared_ptr<RooFunctor>(
        w_->function("m_trg_binned_ic_data")->functor(w_->argSet("m_pt,m_eta,m_iso")));

From 1ad7908a978e60b7f10de8ed6c6ed798ed50928b Mon Sep 17 00:00:00 2001
From: Endre <endre.bokor21@ic.ac.uk>
Date: Thu, 7 Sep 2023 09:37:35 +0100
Subject: [PATCH 47/50] Update tau data to data analysis programs

---
 .../scripts/HiggsTauTauPlot_Run3.py           | 69 ++++++-------------
 .../HiggsTauTauRun2/scripts/compare_Run2_3.py | 60 ++++++++++------
 .../scripts/compare_qcdmethods.py             | 18 ++---
 .../scripts/control_plots_2022_tt.py          | 35 ++++++----
 .../HiggsTauTauRun2/scripts/plot_2022.cfg     | 12 +---
 .../HiggsTauTauRun2/scripts/plot_UL_2018.cfg  | 14 +---
 6 files changed, 92 insertions(+), 116 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
index d330b1c3b..9d88043d5 100644
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
@@ -64,7 +64,7 @@
     "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
     "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
     "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
-    "no_qcd_subtract": False, "tt_qcd_sel_num": 3,"scale_by_bin":False
+    "no_qcd_subtract": False, "scale_by_bin":False
 
 }
 
@@ -401,8 +401,6 @@
       help="Get version of DeepTau v2p5"),
 parser.add_argument("--no_qcd_subtract", dest="no_qcd_subtract", action='store_true',
     help="Do not subtract background when estimating qcd events")
-parser.add_argument("--tt_qcd_sel_num", dest="tt_qcd_sel_num", type=int,
-    help="Change selection type for tt_qcd_norm")
 parser.add_argument("--scale_by_bin", dest="scale_by_bin", action='store_true',
     help="Scale QCD by bin")
 options = parser.parse_args(remaining_argv)   
@@ -698,20 +696,9 @@
 if options.era == 'mssmsummer16': cats['tt_qcd_norm'] = '(mva_olddm_medium_1>0.5 && mva_olddm_loose_2>0.5 &&mva_olddm_medium_2<0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
 if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['tt_qcd_norm'] = '(pt_1>40 && ((mva_olddm_loose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_medium_2>0.5) || (mva_olddm_loose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_1>0.5))  && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
 # if options.era in ['cpsummer17','cp18']: cats['tt_qcd_norm'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
-if options.tt_qcd_sel_num==0:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==1:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==2:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==3:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==4:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-elif options.tt_qcd_sel_num==5:
-  cats['tt_qcd_norm'] = '(deepTauVsJets_vloose_1<0.5 && deepTauVsJets_vvvloose_1>0.5 && deepTauVsJets_vloose_2<0.5 && deepTauVsJets_vvvloose_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-
-#medium vlose
+
+cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+
 
 # CR categories
 cats['ztt_control'] = '(m_sv>60&&m_sv<100)'
@@ -1585,29 +1572,25 @@
         data_samples = ['TauA','TauB','TauC','TauD']
 
 if options.era in ['22']:
-    # if (options.DY_NLO==False):
-    #     ztt_samples = ['DYJetsToLL-LO_summer_preEE']
-    # else:
-    #     ztt_samples = ['DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-LO_postEE_postEE','DYJetsToLL-LO_summer_preEE']
-    ztt_samples = ['DYJetsToLL-LO_summer_preEE']#['DYJetsToLL-LO_summer_preEE','DYto2TautoMuTauh_M50_preEE']
 
-    top_samples = ['TTTo2L2Nu_preEE','TTto4Q_preEE','TTtoLNu2Q_preEE']#['TTTo2L2Nu_postEE','TTTo2L2Nu_preEE']
+    ztt_samples = ['DYJetsToLL-LO_summer_preEE','DYJetsToLL-LO_postEE']
+    top_samples = ['TTTo2L2Nu_preEE','TTto4Q_preEE','TTtoLNu2Q_preEE','TTTo2L2Nu_postEE','TTto4Q_postEE','TTtoLNu2Q_postEE']
     vv_samples = ['WW_preEE','WZ_preEE','ZZ_preEE','TWminusto2L2Nu_preEE',
     'TWminustoLNu2Q_preEE','TbarWplusto2L2Nu_preEE',
-    'TbarWplustoLNu2Q_preEE','TbarBQ_t-channel_4FS_preEE','TBbarQ_t-channel_4FS_preEE']#['WW_postEE_postEE','WZ_postEE_postEE','ZZ_postEE_postEE','WW_preEE','WZ_preEE','ZZ_preEE']#'ZZZ_preEE'
-    # if options.analysis in ['mssmrun2','vlq']:
-        # vv_samples = [
-              # 'T-tW', 'Tbar-tW','Tbar-t','T-t',
-              # 'WZTo3LNu','ZZTo4L']
+    'TbarWplustoLNu2Q_preEE','TbarBQ_t-channel_4FS_preEE','TBbarQ_t-channel_4FS_preEE','WW_postEE','WZ_postEE','ZZ_postEE','TWminusto2L2Nu_postEE',
+    'TWminustoLNu2Q_postEE','TbarWplusto2L2Nu_postEE',
+    'TbarWplustoLNu2Q_postEE','TbarBQ_t-channel_4FS_postEE','TBbarQ_t-channel_4FS_postEE']
     wjets_samples = ['W3JetsToLNu-LO_preEE',
-    'WJetsToLNu-LO_preEE']#['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
-    wgam_samples = []#['WGToLNuG']
-    ewkz_samples = []#['EWKZ2Jets_ZToLL']
+    'WJetsToLNu-LO_preEE','W1JetsToLNu-LO_postEE','W2JetsToLNu-LO_postEE',
+    'WJetsToLNu-LO_postEE']
+    wgam_samples = []
+    ewkz_samples = []
     gghww_samples = []
     qqhww_samples = []   
  
     if options.channel in ['mt','zmm','mj']:
-        data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']
+      data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']
+        # data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE','MuonE_rereco_postEE','MuonF_postEE','MuonG_postEE']
         # if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauB_rereco_preEE','TauC_rereco_preEE','TauD_rereco_preEE']
     if options.channel == 'em':
         data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
@@ -3487,19 +3470,14 @@ def GenerateQCD(ana, add_name='', data=[], plot='', plot_unmodified='', wt='', s
         if method == 8:
           qcd_sdb_cat = cats[options.cat]+' && '+cats['tt_qcd_norm'] 
           qcd_sdb_cat_data = cats_unmodified[options.cat]+' && '+cats_unmodified['tt_qcd_norm']
-          # if options.no_qcd_subtract:
-          #   subtract_node =None       
-          # else:
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True) 
+          
+          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)        
           num_selection = BuildCutString(wt, sel, cat_data, '!os')
           num_node = SubtractNode('ratio_num',
                        ana.SummedFactory('data', data, plot_unmodified, num_selection),
                        subtract_node)
           if options.analysis == 'mssmsummer16': tau_id_wt = 'wt_tau2_id_loose'
           else: tau_id_wt = '1'
-          # if options.no_qcd_subtract:
-          #   subtract_node =None 
-          # else:
           subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,False,True)
           den_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, '!os')
           den_node = SubtractNode('ratio_den',
@@ -3507,9 +3485,6 @@ def GenerateQCD(ana, add_name='', data=[], plot='', plot_unmodified='', wt='', s
                        subtract_node)
           shape_node = None   
           full_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, OSSS)
-          # if options.no_qcd_subtract:
-          #   subtract_node = None
-          # else:
           subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,get_os,True)
   
           ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
@@ -5213,8 +5188,8 @@ def RawFFFromString(string):
           do_data = False
       if options.scheme == "noTT":
           samples_to_skip.extend(["TTT","TTJ"])
-      if options.scheme == "noEWKZ":
-          samples_to_skip.extend(['EWKZ'])
+      if options.scheme == "signalQCD":
+          samples_to_skip.extend(['TTT','TTJ','VVT','VVJ','W','jetFakes','ZLL','ZTT','ZL','EWKZ','ggH_hww'])
       RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, add_name, weight, do_data, samples_to_skip,outfile,ff_syst_weight)
       #if options.era == "tauid2016" and options.channel in ['et','mt']: 
       #    RunPlotting(ana, cats['pass']+'&&'+cats['baseline'], cats_unmodified['pass']+'&&'+cats_unmodified['baseline'], sel, "pass"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
@@ -5507,11 +5482,7 @@ def MergeXBins(hist):
   
   hist_den = QCDdirectory.Get("ratio_den")
   hist_scale = QCDdirectory.Get("ratio_num").Clone()
-  integralFactor = (hist_scale.Integral())/(hist_den.Integral())
   hist_scale.Divide(hist_den)
-  for i in range(0,hist_scale.GetNbinsX()):
-    if hist_scale.GetBinContent(i+1)>=1:
-      hist_scale.Fill(i+1,integralFactor)
 
   
   hist_QCD = QCDdirectory.Get("data").Clone()
@@ -5608,7 +5579,7 @@ def MergeXBins(hist):
     scheme = options.channel
     if compare_w_shapes: scheme = 'w_shape'
     if compare_qcd_shapes: scheme = 'qcd_shape'
-    if options.scheme != "" and options.scheme != "noEWKZ"and options.scheme != "noTT": scheme = options.scheme
+    if options.scheme != "" and options.scheme != "signalQCD"and options.scheme != "noTT": scheme = options.scheme
     FF = options.method in [17,18]
     if options.ml_ff:
       options.w_ff_closure = False
diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py b/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
index 75388d196..9a725b5bf 100644
--- a/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
+++ b/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
@@ -325,11 +325,11 @@ def MyCompareHists(hists=[],
         o.IsA().Destructor(o)
     c1.Close()
 
+LUMI22 = 35.2
+LUMI18 = 59.8
 USEBYBIN = True
-LUMI22 = 38.2
-LUMI18 = 59.7
 DO_RATIO = True
-file18_dirname = "output_2018_all/"
+file18_dirname = "output_2018/"
 file22_dirname = "output_2022/"
 
 output_folder_name = "output_2018vs2022/"
@@ -338,16 +338,20 @@ def MyCompareHists(hists=[],
 variables = [
   
   ["n_jets","N_{jets}"],
-  # ["pt_1","p_{T}^{#tau_{1}}"],
-  # ["pt_2", "p_{T}^{#tau_{2}}"],
-  # ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
-  # ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
+  ["pt_1","p_{T}^{#tau_{1}}"],
+  ["pt_2", "p_{T}^{#tau_{2}}"],
+  ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
+  ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
   ["pt_tt", "p_{T}^{#tau#tau}"],
   ["m_vis","m_{#tau#tau}"]
 
 ]
 
+#Name of QCD selection e.g. medium_vloose_medium_vloose:
+#"deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5"
 selname = "medium_vloose_medium_vloose"
+
+#"OppS" and/or "SS"
 types=["OppS","SS"]
 
 for var in variables:
@@ -450,16 +454,13 @@ def MyCompareHists(hists=[],
 #--------------------------------------------------------------------    
     for histtype in [[hists18Data,hists22Data,"Data",None],[hists18QCD,hists22QCD,"QCD",uncertQCD],
                  [hists18Diff,hists22Diff,"nonQCD",uncertDiff]]:
-      # legend_titles = ["2018 %s (%s)"%(histtype[2],chargetype)] + [
-      #   "#splitline{Scaled 2022 %s}{%s (%s)}"%(histtype[2],trig,chargetype) for trig in ["doubletau trig","all trigs"]
-      # ]
       legend_titles = ["2018 %s"%(ver) for ver in versions] + [
         "2022 %s"%(trig) for trig in ["doubletau","doubletau+jet"]
       ]      
       if var[0] == "n_jets":
         MyCompareHists(hists = histtype[0]+histtype[1],
                 legend_titles = legend_titles,
-                title="%s (%s) 59.7 fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign")), extra_pad=0,ratio_range="0.5,1.5",
+                title="%s (%s) %.1f fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign"),LUMI18), extra_pad=0,ratio_range="0.5,2",
                 x_title = var[1], y_title = "Events",plot_name =
                 var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
                 outputfolder=output_folder_name,uncert_hist=histtype[3],
@@ -468,7 +469,7 @@ def MyCompareHists(hists=[],
       elif var[0] == "pt_tt":
         MyCompareHists(hists = histtype[0]+histtype[1],
                 legend_titles = legend_titles,
-                title="%s (%s) 59.7 fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign")), extra_pad=0,ratio_range="0.3,1.5",
+                title="%s (%s) %.1f fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign"),LUMI18), extra_pad=0,ratio_range="0.3,2",
                 x_title = var[1], y_title = "Events",plot_name =
                 var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
                 outputfolder=output_folder_name, integral_with_lowerlimit=None,uncert_hist=histtype[3],uncert_title=
@@ -476,21 +477,36 @@ def MyCompareHists(hists=[],
       else:
         MyCompareHists(hists = histtype[0]+histtype[1],
                 legend_titles = legend_titles,
-                title="%s (%s) 59.7 fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign")), extra_pad=0,ratio_range="0.5,1.5",
+                title="%s (%s) %.1f fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign"),LUMI18), extra_pad=0,ratio_range="0.5,2",
                 x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =
                 var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
                 outputfolder=output_folder_name,uncert_hist=histtype[3], uncert_title=
                 ("Systematic Error" if histtype[3] is not None else ''),integral_with_upperlimit=None)
-#title="59.7 fb^{-1} (13 TeV)"        
+      
+      print("\n ------------------------%s %s %s------------------------"%(var[0],histtype[2],chargetype))
+      counter=0
+      if var[0] == "m_vis":
+        upper_limit=80
+        for hist in histtype[0]+histtype[1]:
+          print("\n%s:"%(legend_titles[counter]))
+          print("Total: %d (%.1f%%)"%(hist.Integral(1,hist.GetNbinsX()),(hist.Integral(1,hist.GetNbinsX())/histtype[0][0].Integral(1,hist.GetNbinsX()))*100))
+          print("Up to %dGeV: %d (%.1f%%)"%(upper_limit,hist.Integral(1,hist.FindBin(upper_limit)),(hist.Integral(1,hist.FindBin(upper_limit))/histtype[0][0]. Integral(1,hist.FindBin(upper_limit)))*100))
+          counter+=1
+      if var[0] == "pt_tt":
+        lower_limit=100
+        for hist in histtype[0]+histtype[1]:
+          print("\n%s:"%(legend_titles[counter]))
+          print("Total: %d (%.1f%%)"%(hist.Integral(1,hist.GetNbinsX()),(hist.Integral(1,hist.GetNbinsX())/histtype[0][0].Integral(1,hist.GetNbinsX()))*100))
+          print("From %dGeV: %d (%.1f%%)"%(lower_limit,hist.Integral(hist.FindBin(lower_limit),hist.GetNbinsX()),(hist.Integral(hist.FindBin(lower_limit),hist.GetNbinsX())/histtype[0][0]. Integral(hist.FindBin(lower_limit),hist.GetNbinsX()))*100))
+          counter+=1
+        
+#legendstatslim.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()),(hist.Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX())/legend_hists[0].Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()))*100),"l")        
 #-------------------------------------------------------------------- 
-    # legend_titles = ["2018 S/#sqrt{B} (%s)"%chargetype] + [
-    #   "#splitline{2022 S/#sqrt{B} (%s)}{%s}"%(chargetype,trig) for trig in ["doubletau trig","all trigs"]
-    # ]
-    MyCompareHists(hists = SBstatHist18+SBstatHist22,
-                legend_titles = legend_titles,
-                title="S/#sqrt{B} %s (%s)"%(histtype[2],chargetype), extra_pad=0,ratio_range="0.5,2.5",
-                x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =
-                var[0]+"_"+selname+"_"+chargetype, output_file = output, ratio = True, outputfolder=output_folder_name)
+    # MyCompareHists(hists = SBstatHist18+SBstatHist22,
+    #             legend_titles = legend_titles,
+    #             title="S/#sqrt{B} %s (%s)"%(histtype[2],chargetype), extra_pad=0,ratio_range="0.5,2.5",
+    #             x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =
+    #             var[0]+"_"+selname+"_"+chargetype, output_file = output, ratio = True, outputfolder=output_folder_name)
 
         
 #--------------------------------------------------------------------        
diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
index 6a2a731a2..b56eebb6f 100644
--- a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
+++ b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
@@ -3,9 +3,9 @@
 import numpy as np
 
 PLOTBYBIN = True
-DOCHI2 = True
-infiles_dirname = "output_2018_good/"
-output_folder_name = "output_test/"
+DOCHI2 = False #Chi2 comparison of QCD fits, produces a text file in the outputfolder named "chi2test.txt"
+infiles_dirname = "output_2018/"
+output_folder_name = "output_2018qcdcompare/"
 
 def MyCompareHists(hists=[],
              legend_titles=[],
@@ -294,7 +294,7 @@ def MyCompareHists(hists=[],
     legendstats.Draw("same")
     
     c1.SaveAs(outputfolder+plot_name+'.png')
-    #c1.SaveAs(outputfolder+plot_name+'.pdf')
+    c1.SaveAs(outputfolder+plot_name+'.pdf')
     if output_file is not None:
         output_file.WriteObject(c1, plot_name)
     for o in objects:
@@ -303,11 +303,11 @@ def MyCompareHists(hists=[],
 
 variables = [
   
-  # ["n_jets","N_{jets}"],
-  # ["pt_1","p_{T}^{#tau_{1}}"],
-  # ["pt_2", "p_{T}^{#tau_{2}}"],
-  # ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
-  # ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
+  ["n_jets","N_{jets}"],
+  ["pt_1","p_{T}^{#tau_{1}}"],
+  ["pt_2", "p_{T}^{#tau_{2}}"],
+  ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
+  ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
   ["m_vis","m_{#tau#tau}"],
   ["pt_tt", "p_{T}^{#tau#tau}"]
 
diff --git a/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py b/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
index 4347fc427..14ad6171e 100644
--- a/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
+++ b/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_tt.py
@@ -2,14 +2,13 @@
 import json
 
 variables = [
-
+  'pt_tt(20,0,200)',
+  'm_vis(20,0,200)',
    'n_jets(4,0,4)', 
     'pt_1(20,0,200)',
    'pt_2(20,0,200)',
     'mt_1(30,0,300)',
-    'mt_2(30,0,300)',
-   'pt_tt(20,0,200)',
-  'm_vis(20,0,200)'
+    'mt_2(30,0,300)'
 ]
 
 #Selections in the control region (QCD)
@@ -23,9 +22,14 @@
             ]
 
 DO_SS = True #produce same-sign files
-years = ["UL_2018"]#"UL_2018","2022"
-triggernames_2022 = [["trg_doubletau && pt_1>40 && pt_2>40","trg_doubletau"],["(trg_doubletau && pt_1>40 && pt_2>40) || ((trg_doubletau_plusjet60 || trg_doubletau_plusjet75) && trg60jet_pt>65)","trg_both"]]#pt>35 base cut
-versions = ["v2p5"] #"v2p1","v2p5"
+
+#"UL_2018" and/or "2022"
+years = ["UL_2018","2022"]
+
+triggerselections = [["trg_doubletau && pt_1>40 && pt_2>40","trg_doubletau"],["(trg_doubletau && pt_1>40 && pt_2>40) || ((trg_doubletau_plusjet60 || trg_doubletau_plusjet75) && trg60jet_pt>65)","trg_both"]]#pt>35 base cut
+
+#List of versions to make plots of: "v2p1" and/or "v2p5"
+versions = ["v2p1","v2p5"]
 
 
 json_name= 'input/tau_SF_strings_dm_binned_mediumvsjet_vvloosevsele_split_fit.json'
@@ -40,24 +44,25 @@
     for sel in selnames:
       if yr == "UL_2018":
         triggernames = [["trg_doubletau && pt_1>40 && pt_2>40","trg_doubletau"]]
-        add_cond = '--add_wt=\'%(sf)s*1/wt_tau_id_dm\'' % vars()#'--add_wt=\'wt_prefire*%(sf)s/wt_tau_id_dm*%(trg_sf)s\'' % vars()
       else:
-        triggernames = triggernames_2022
-        add_cond = ''
+        triggernames = triggerselections
         
       for trigname in triggernames:
         for version in versions:
           extra=' --ratio_range=\"0.6,1.4\" '  
           if v[0] != 'm':   
-            extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2 && m_vis<100)"'%trigname[0]
+            extra += ' --sel="((%s) && m_vis<100)"'%trigname[0]
             
             extra += ' --set_alias=tt_qcd_norm:"(%s && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2 && m_vis<100)"'%(sel[1],trigname[0])
           else:
-            extra += ' --set_alias=baseline:"(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%trigname[0]
-          
+            extra += ' --sel="(%s)"'%trigname[0]
             extra += ' --set_alias=tt_qcd_norm:"(%s && leptonveto==0 && (%s) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)"'%(sel[1],trigname[0])
           
           if version =="v2p5":
+            if yr=="UL_2018":
+              add_cond = '--add_wt=\'%(sf)s*1/wt_tau_id_dm\'' % vars()
+            else:
+              add_cond = ''
             extra += ' --v2p5'
             extra+= ' --extra_name=%s_%s_v2p5'%(sel[0],trigname[1])
             os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
@@ -65,8 +70,8 @@
               os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --do_ss --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )            
           elif yr=="UL_2018":
             extra+= ' --extra_name=%s_%s_v2p1'%(sel[0],trigname[1])
-            os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
+            os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() )
             if DO_SS:
-              os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s %(add_cond)s --do_ss --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() ) 
+              os.system('python scripts/HiggsTauTauPlot_Run3.py %(extra)s --do_ss --cfg scripts/plot_%(yr)s.cfg --var=\"%(v_tt)s\"' % vars() ) 
     
 
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
index 300357b82..3c687ea72 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_2022.cfg
@@ -1,4 +1,3 @@
-#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_2022.cfg --var "m_vis(20,0,200)"
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_2022.json
@@ -6,22 +5,15 @@ folder=/vols/cms/eb921/output/tt_2022/
 era=22
 sm_masses=""
 draw_signal_mass=""
-#ggh_masses=80,90,100,110,120,130,140,160,180,200,250,300,400,450,600,700,800,1200,1400,1500,1600,1800,2000,2600,2900,3200
-#bbh_nlo_masses=80,90,100,110,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-#ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-#bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
 year=2022
 norm_bins=True
 ratio=True
-lumi=38.18 fb^{-1} (13.6 TeV)
+lumi=35.2 fb^{-1} (13.6 TeV)
 vbf_background=False
 wp=medium
 channel=tt
 method=8
 outputfolder=output_2022
-#extra_name=nosubqcd
 no_qcd_subtract=True
-#do_ss=True
-scheme=noWandEWKZ
 scale_by_bin=True
-#v2p5=True
\ No newline at end of file
+scheme=signalQCD
\ No newline at end of file
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
index 9f39558e9..92ea7021c 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
@@ -1,4 +1,3 @@
-#python scripts/HiggsTauTauPlot.py --cfg scripts/plot_UL_2018_nosubqcd.cfg --var "m_vis(20,0,200)"
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_UL_2018.json
@@ -6,21 +5,14 @@ folder=/vols/cms/eb921/output/tt_UL_2018/
 era=UL_18
 sm_masses=""
 draw_signal_mass=""
-#ggh_masses=80,90,100,110,120,130,140,160,180,200,250,300,400,450,600,700,800,1200,1400,1500,1600,1800,2000,2600,2900,3200
-#bbh_nlo_masses=80,90,100,110,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-#ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
-#bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
 year=2018
 norm_bins=True
 ratio=True
-lumi=59.7 fb^{-1} (13 TeV)
+lumi=59.8 fb^{-1} (13 TeV)
 vbf_background=False
 wp=medium
 channel=tt
 method=8
-outputfolder=output_2018_test
-#extra_name=nosubqcd
+outputfolder=output_2018
 no_qcd_subtract=True
-#do_ss=True
-scale_by_bin=True
-#v2p5=True
\ No newline at end of file
+scale_by_bin=True
\ No newline at end of file

From 8b765fbac7737193a2bc98c9081fd7cd766c62df Mon Sep 17 00:00:00 2001
From: Daniel Winterbottom <daniel.winterbottom@cern.ch>
Date: Mon, 2 Oct 2023 17:17:13 +0100
Subject: [PATCH 48/50] adapting Endre's code for the main branch

---
 .../htt_scalefactors_2022postEE_noZpt.root    |  Bin 49927 -> 0 bytes
 .../htt_scalefactors_2022preEE_noZpt.root     |  Bin 50005 -> 0 bytes
 .../scripts/HiggsTauTauPlot.py                |  231 +-
 .../scripts/HiggsTauTauPlot_Run3.py           | 5792 -----------------
 .../HiggsTauTauRun2/scripts/compare_Run2_3.py |  515 --
 .../scripts/compare_qcdmethods.py             |  441 --
 .../scripts/config_UL_2018.json               |    4 +-
 ...trol_plots.py => control_plots_2022_mt.py} |    0
 .../HiggsTauTauRun2/scripts/plot_UL_2018.cfg  |   15 +-
 Analysis/HiggsTauTauRun2/src/BTagCheck.cc     |   10 +-
 .../src/BTagWeightLegacyRun2.cc               |   10 +-
 Analysis/HiggsTauTauRun2/src/HTTCategories.cc |   14 +-
 .../src/HTTFakeFactorWeights.cc               |   11 +-
 .../HiggsTauTauRun2/src/HTTPairGenInfo.cc     |    7 +-
 14 files changed, 244 insertions(+), 6806 deletions(-)
 delete mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE_noZpt.root
 delete mode 100644 Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022preEE_noZpt.root
 delete mode 100644 Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
 delete mode 100644 Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
 delete mode 100644 Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
 rename Analysis/HiggsTauTauRun2/scripts/{mt_control_plots.py => control_plots_2022_mt.py} (100%)

diff --git a/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE_noZpt.root b/Analysis/HiggsTauTauRun2/input/scale_factors/htt_scalefactors_2022postEE_noZpt.root
deleted file mode 100644
index d957e836433fead2a1846ebccac345d13119f83c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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vJq<e(tDylC2cv<pvB^(%#s6^%{r^^`|EE;{VITkhRpzJQ{mQN^{{a6FFc@ka

diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
index bc37c06f9..9d88043d5 100644
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
@@ -63,7 +63,8 @@
     "ff_ss_closure":False, "threePads":False,"auto_blind":False,
     "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
     "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
-    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False
+    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
+    "no_qcd_subtract": False, "scale_by_bin":False
 
 }
 
@@ -397,7 +398,11 @@
 parser.add_argument("--plot_from_dc", default="", type=str,
       help="If not empty will draw plot straight from datacard")
 parser.add_argument("--v2p5", dest="v2p5", action='store_true',
-      help="Get version of DeepTau v2p5")
+      help="Get version of DeepTau v2p5"),
+parser.add_argument("--no_qcd_subtract", dest="no_qcd_subtract", action='store_true',
+    help="Do not subtract background when estimating qcd events")
+parser.add_argument("--scale_by_bin", dest="scale_by_bin", action='store_true',
+    help="Scale QCD by bin")
 options = parser.parse_args(remaining_argv)   
 
 print 'do_unrolling = %s' % options.do_unrolling 
@@ -496,7 +501,7 @@
           cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>25&&pt_1<23)||(trg_singlemuon&&pt_1>23)))'
         if options.era in ['tauid2017']:
           cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && pt_1>25 && trg_singlemuon &&pt_2>20)'
-        if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
+        if options.era in ['cpsummer17','UL_17','cp18','UL_18','22']:
           cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>32&&pt_1<25)||(trg_singlemuon&&pt_1>25)) && wt<2)'
         if options.era in ['tauid2016']: 
           cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon && pt_1>23)'
@@ -543,6 +548,12 @@
       t_highpt=180
       t_lowpt_mt=32
       t_lowpt_et=35
+    if options.era in ['22']:
+      m_lowpt=25
+      e_lowpt=33
+      t_highpt=180
+      t_lowpt_mt=32
+      t_lowpt_et=35      
 
     if options.channel == 'mt':
         if options.singletau:
@@ -585,6 +596,8 @@
       cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && trg_doubletau && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
     if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
       cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
+    if options.era == '22':
+      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
 
     if options.analysis in ['mssmrun2','vlq']:
       wp = options.wp
@@ -611,7 +624,7 @@
 elif options.channel == 'zmm':
     cats['baseline'] = '(iso_1<0.15 && iso_2<0.15)'
     if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
-    if options.era in ['cpsummer17','UL_17','cp18','UL_18']: cats['baseline'] = '(pt_1>25 && iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
+    if options.era in ['cpsummer17','UL_17','cp18','UL_18','22']: cats['baseline'] = '(pt_1>25 && iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
 elif options.channel == 'zee':
     cats['baseline'] = '(iso_1<0.1 && iso_2<0.1)'
     if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.1 && iso_2<0.1 && trg_singleelectron && fabs(wt)<2)'
@@ -792,7 +805,7 @@
 cats['boosted'] = '(!(%s) && !(%s))' % (cats['0jet'], cats['vbf'])
 if options.channel == 'em': cats['boosted'] = '(!(%s) && !(%s) && n_bjets==0)' % (cats['0jet'], cats['vbf'])
 
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] or options.analysis in ['cpprod']:
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] or options.analysis in ['cpprod']:
   cats['ttbar'] = 'n_jets>0'  
   if options.channel in ['mt','et']: 
       cats['0jet'] = '(n_jets==0 && n_bjets==0 &&n_loose_bjets<2)'
@@ -1222,7 +1235,7 @@
     top_sels['ttt_sel'] = '(gen_match_1==5 && gen_match_2==5)' 
     top_sels['ttj_sel'] = '(!(gen_match_1==5 && gen_match_2==5))'
 
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016']:
+if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016','22']:
   # define these selections to make them more compatible with the fake-factor method and embedded samples
   if options.channel =='em':
     z_sels['zll_sel'] = '(!(gen_match_2==4 && gen_match_1==3))'
@@ -1558,6 +1571,36 @@
     if options.channel == 'tt':
         data_samples = ['TauA','TauB','TauC','TauD']
 
+if options.era in ['22']:
+
+    ztt_samples = ['DYJetsToLL-LO_summer_preEE','DYJetsToLL-LO_postEE']
+    top_samples = ['TTTo2L2Nu_preEE','TTto4Q_preEE','TTtoLNu2Q_preEE','TTTo2L2Nu_postEE','TTto4Q_postEE','TTtoLNu2Q_postEE']
+    vv_samples = ['WW_preEE','WZ_preEE','ZZ_preEE','TWminusto2L2Nu_preEE',
+    'TWminustoLNu2Q_preEE','TbarWplusto2L2Nu_preEE',
+    'TbarWplustoLNu2Q_preEE','TbarBQ_t-channel_4FS_preEE','TBbarQ_t-channel_4FS_preEE','WW_postEE','WZ_postEE','ZZ_postEE','TWminusto2L2Nu_postEE',
+    'TWminustoLNu2Q_postEE','TbarWplusto2L2Nu_postEE',
+    'TbarWplustoLNu2Q_postEE','TbarBQ_t-channel_4FS_postEE','TBbarQ_t-channel_4FS_postEE']
+    wjets_samples = ['W3JetsToLNu-LO_preEE',
+    'WJetsToLNu-LO_preEE','W1JetsToLNu-LO_postEE','W2JetsToLNu-LO_postEE',
+    'WJetsToLNu-LO_postEE']
+    wgam_samples = []
+    ewkz_samples = []
+    gghww_samples = []
+    qqhww_samples = []   
+ 
+    if options.channel in ['mt','zmm','mj']:
+      data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']
+        # data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE','MuonE_rereco_postEE','MuonF_postEE','MuonG_postEE']
+        # if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauB_rereco_preEE','TauC_rereco_preEE','TauD_rereco_preEE']
+    if options.channel == 'em':
+        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
+    if options.channel == 'et' or options.channel == 'zee':
+        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
+        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauA','TauB','TauC','TauD']
+    if options.channel == 'tt':
+        data_samples = ['TauA_preEE','TauB_rereco_preEE',
+                        'TauC_rereco_preEE','TauD_rereco_preEE','TauE_rereco_postEE','TauF_postEE','TauG_postEE']        
+
 
 if options.method==0: ztt_samples+=ewkz_samples
 
@@ -1673,6 +1716,35 @@
          'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
     }
 
+  if options.era == '22':
+    sm_samples = {
+         #'vbf_new' : 'VBFHToTauTau_M125_withDipoleRecoil',
+         'ggh*_powheg' : 'GluGluHToTauTau_M-125',
+     #    'vbf*_powheg' : 'VBFHToTauTau_M-125-ext1',
+      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
+       #  'wminush*_powheg': 'WminusHToTauTau_M-125',
+        # 'zh*_powheg': 'ZHToTauTau_M-125',
+         #'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         #'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
+         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
+         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
+         'qqH_htt*' : 'VBFHToTauTau_M-125-ext1',
+         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+         'ZH_htt*': ['ZHToTauTau_M-125','ZHToTauTau_M125-ext1'],
+        # "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
+         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
+         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
+         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
+         'WH_ps_htt*' : 'WHiggs0MToTauTau',
+         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
+         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
+         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
+         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
+    }
+
 
 
 
@@ -1748,9 +1820,35 @@
         "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
         "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
     }
+  if options.era == '22':
+    sm_samples = {
+        # test CP in decay samples
+        'ggH_ph_htt*' : 'GluGluHToTauTau_M-125',
+        'qqH_ph_htt*' : 'VBFHToTauTau_M-125-ext1',
+        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
+        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
+        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+        "ZH_ph_htt*": 'ZHToTauTau_M-125',  
+        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
+        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
+    }
 
 
 if options.analysis in ['mssmrun2','vlq']:
+  if options.era == '22':
+    sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
+                   'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
+                 }
   if (options.era == 'cp18' or options.era == 'UL_18'):
     sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
                    'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
@@ -2002,6 +2100,7 @@
     if options.era in ["legacy16",'UL_16_preVFP','UL_16_postVFP']: replaceYear = "2016"
     elif (options.era == "cpsummer17" or options.era == 'UL_17'): replaceYear = "2017"
     elif (options.era == "cp18" or options.era == 'UL_18'): replaceYear = "2018"
+    elif options.era == "22": replaceYear = "2022"    
     else: assert ValueError("Regrouped JES only works for full RunII analyses")
 
 
@@ -2250,7 +2349,10 @@
           #hist_name_bini = hist_name.replace('*','%(bin_name)s' % vars())
           #systematics['syst_tau_id_diff_highpt_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_mssm_bin%(i)i_up' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
           #systematics['syst_tau_id_diff_highpt_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_mssm_bin%(i)i_down' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-       
+        if options.year == "2022":
+          nom_40_plus = "1.00458784525"
+          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
+          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.952971628935", "1.00458784525", "-0.0516162163153", "-0.103232432631"       
         if options.year == "2018":
           nom_40_plus = "1.00458784525"
           up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
@@ -2752,10 +2854,10 @@
           qcd_os_ss_ratio = 1.0
           qcd_os_ss_ratio = 1.13 
           if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 0.97
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 0.97
             else: qcd_os_ss_ratio = 1.0
           elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.61
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.61
             else: qcd_os_ss_ratio = 1.28
           elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
           elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
@@ -2768,10 +2870,10 @@
           #qcd_os_ss_ratio = 1.07
           qcd_os_ss_ratio = 1.12
           if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.15
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.15
             else: qcd_os_ss_ratio = 1.07
           elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016']: qcd_os_ss_ratio = 1.18
+            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.18
             else: qcd_os_ss_ratio = 1.06
           elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
           elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
@@ -2864,6 +2966,7 @@ def GetEmbeddedNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat=''
       if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: wt_+='*1.106'
       if options.era in ['cpsummer17','UL_17']: wt_+='*1.080'
       if options.era in ['cp18','UL_18']: wt_+='*1.101'
+      if options.era in ['22']: wt_+='*1.101'
     full_selection = BuildCutString(wt_+'*(wt<2)', sel, cat, OSSS, z_sels['ztt_sel'])
     return ana.SummedFactory('EmbedZTT'+add_name, samples, plot, full_selection)
 
@@ -3252,7 +3355,7 @@ def GenerateW(ana, add_name='', samples=[], data=[], wg_samples=[], plot='', plo
 
 def GetSubtractNode(ana,add_name,plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,OSSS,includeW=False,w_shift=None):
   subtract_node = SummedNode('total_bkg'+add_name)
-  if includeW:
+  if includeW and options.era!='22':
       if w_shift is not None: w_wt = '%s*%f' %(wt,w_shift)
       else: w_wt = wt
       w_node = GetWNode(ana, 'W', wjets_samples, data_samples, plot, plot_unmodified, w_wt, sel, cat, cat_data,method, qcd_os_ss_ratio, OSSS)
@@ -3424,18 +3527,18 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
     # Select data from anti-isolated region
     if options.channel != "tt":
         if options.channel == 'mt':
-            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18']:
+            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
               anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
             else: 
               anti_isolated_sel = '(iso_1<0.15 && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
         elif options.channel == 'et': 
-            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18']:
+            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
               anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
             else: 
               anti_isolated_sel = '(iso_1<0.1  && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
         ff_cat = cats[cat_name] +" && "+ anti_isolated_sel
         ff_cat_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel
-        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18']:
+        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
           if ff_syst_weight is not None and 'sub_syst' not in add_name: fake_factor_wt_string = '('+ff_syst_weight+'_1)'
           else:
             if options.analysis in ['cpprod']: 
@@ -3495,7 +3598,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
         if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"mvadm2016"]:
           anti_isolated_sel_1 = cats['baseline'].replace('mva_olddm_tight_1>0.5','mva_olddm_tight_1<0.5 && mva_olddm_vloose_1>0.5')
           anti_isolated_sel_2 = cats['baseline'].replace('mva_olddm_tight_2>0.5','mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5')
-        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP']: # need to do also for MVA cats for 2016!
+        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP','22']: # need to do also for MVA cats for 2016!
           anti_isolated_sel_2 = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
           anti_isolated_sel_1 = cats['baseline'].replace('deepTauVsJets_%(wp)s_1>0.5' % vars(),'deepTauVsJets_%(wp)s_1<0.5 && deepTauVsJets_vvvloose_1>0.5' % vars())
         ff_cat_1 = cats[cat_name] +" && "+ anti_isolated_sel_1
@@ -3512,6 +3615,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
               flat = 1.04
               if (options.era=='cpsummer17' or options.era == 'UL_17'): flat=1.07
               if (options.era=='cp18'or options.era == 'UL_18'): flat=1.06
+              if (options.era=='22'): flat=1.06
 
 
               if 'njets0' in add_name:
@@ -3532,6 +3636,23 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
 
 
             if options.analysis in ['cpdecay'] and 'ff_tt_qcd_syst' in add_name:
+              if(options.era=='22'):
+                if 'njets0' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0))*wt_ff_1'
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0))*wt_ff_1' 
+                elif 'njets1' in add_name:
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1' 
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+                else: 
+                  if 'Up' in add_name:
+                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1'     
+                  if 'Down' in add_name:
+                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
+                                  
               if(options.era=='cp18' or options.era == 'UL_18'):
                 if 'njets0' in add_name:
                   if 'Up' in add_name:
@@ -3590,7 +3711,7 @@ def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='
             if options.analysis in ['cpprod','cpdecay','mssmrun2','vlq']:
               fake_factor_wt_string_2='0'
         else:
-          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18']:
+          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
             # deep tau tight 2018 anti isolating the subleading tau
             if options.analysis == 'cpprod':
               fake_factor_wt_string_2='0'
@@ -4871,8 +4992,12 @@ def RawFFFromString(string):
 #  output_name = options.outputfolder+'/datacard_'+options.extra_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
   datacard_name+='_'+options.extra_name
 #else: 
-output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
-outfile = ROOT.TFile(output_name, 'RECREATE')
+if options.do_ss:
+  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'_ss.root'
+  outfile = ROOT.TFile(output_name, 'RECREATE')
+else:
+  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
+  outfile = ROOT.TFile(output_name, 'RECREATE')
     
 cats['cat'] = '('+cats[options.cat]+')*('+cats['baseline']+')'
 if options.channel=="em": cats['em_shape_cat'] = '('+cats[options.cat]+')*('+cats['loose_baseline']+')'
@@ -4900,6 +5025,9 @@ def RawFFFromString(string):
   if options.channel == 'em':
       ana.remaps['MuonEG'] = 'data_obs'
   elif options.channel in ['mt','mj','zmm']:
+    if options.era == '22':
+      ana.remaps['Muon'] = 'data_obs'
+    else:
       ana.remaps['SingleMuon'] = 'data_obs'
   elif (options.era != 'cp18' and options.era != 'UL_18') and (options.channel == 'et' or options.channel == 'zee'):
       ana.remaps['SingleElectron'] = 'data_obs'
@@ -5060,6 +5188,8 @@ def RawFFFromString(string):
           do_data = False
       if options.scheme == "noTT":
           samples_to_skip.extend(["TTT","TTJ"])
+      if options.scheme == "signalQCD":
+          samples_to_skip.extend(['TTT','TTJ','VVT','VVJ','W','jetFakes','ZLL','ZTT','ZL','EWKZ','ggH_hww'])
       RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, add_name, weight, do_data, samples_to_skip,outfile,ff_syst_weight)
       #if options.era == "tauid2016" and options.channel in ['et','mt']: 
       #    RunPlotting(ana, cats['pass']+'&&'+cats['baseline'], cats_unmodified['pass']+'&&'+cats_unmodified['baseline'], sel, "pass"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
@@ -5345,10 +5475,44 @@ def MergeXBins(hist):
   down.Write()
 
 
-outfile.Close()
+
+if options.scale_by_bin:
+  directory = outfile.Get(nodename)
+  QCDdirectory = directory.Get("QCD.subnodes")
+  
+  hist_den = QCDdirectory.Get("ratio_den")
+  hist_scale = QCDdirectory.Get("ratio_num").Clone()
+  hist_scale.Divide(hist_den)
+
+  
+  hist_QCD = QCDdirectory.Get("data").Clone()
+  hist_bkg = QCDdirectory.Get("total_bkg")
+  hist_QCD.Add(hist_bkg,-1)
+  hist_QCD.Multiply(hist_scale)
+  hist_QCD.SetName("QCD_bybin")
+  outfile.cd(nodename)
+  hist_QCD.Write()
+  if options.no_qcd_subtract:
+    hist_QCD_nosub = QCDdirectory.Get("data").Clone()
+    hist_QCD_nosub.Multiply(hist_scale)
+    hist_QCD_nosub.SetName("QCD_bybin_nosub")
+    hist_QCD_nosub.Write()
 
 
+if options.no_qcd_subtract:
+  directory = outfile.Get(nodename)
+  QCDdirectory = directory.Get("QCD.subnodes")
+
+  hist_QCD = QCDdirectory.Get("data").Clone()
+  den = QCDdirectory.Get("ratio_den").Integral()
+  num = QCDdirectory.Get("ratio_num").Integral()
+  hist_QCD.Scale(num/den)
+  #hist_QCD.SetEntries(hist_QCD.GetEntries()*(num/den))
+  hist_QCD.SetName("QCD_nosub")
+  outfile.cd(nodename)
+  hist_QCD.Write()
 
+outfile.Close()
 
 if options.do_unrolling==0: 
   print "Finished Processing"
@@ -5383,8 +5547,9 @@ def MergeXBins(hist):
 
 
 if not options.no_plot:
-    if options.extra_name != '': vname = options.extra_name
-    else: vname = var_name
+    #if options.extra_name != '': vname = options.extra_name
+    #else: vname = var_name
+    vname = var_name + '_' +options.extra_name
 
 
     if options.datacard != "": plot_name = options.outputfolder+'/'+vname+'_'+options.datacard+'_'+options.channel+'_'+options.year
@@ -5414,7 +5579,7 @@ def MergeXBins(hist):
     scheme = options.channel
     if compare_w_shapes: scheme = 'w_shape'
     if compare_qcd_shapes: scheme = 'qcd_shape'
-    if options.scheme != "": scheme = options.scheme
+    if options.scheme != "" and options.scheme != "signalQCD"and options.scheme != "noTT": scheme = options.scheme
     FF = options.method in [17,18]
     if options.ml_ff:
       options.w_ff_closure = False
@@ -5468,7 +5633,15 @@ def MergeXBins(hist):
         )
     elif scheme != 'signal':
       auto_blind=False
-      plotting.HTTPlot(nodename, 
+      plotnames = [[plot_name,"QCD"]]
+      if options.scale_by_bin:
+        plotnames.append([plot_name+"_bybin","QCD_bybin"])
+        if options.no_qcd_subtract:
+          plotnames.append([plot_name+"_bybin_nosub","QCD_bybin_nosub"])
+      if options.no_qcd_subtract:
+          plotnames.append([plot_name+"_nosub","QCD_nosub"])
+      for namepair in plotnames:
+        plotting.HTTPlot(nodename, 
         plot_file, 
         options.signal_scale, 
         options.draw_signal_mass,
@@ -5499,7 +5672,7 @@ def MergeXBins(hist):
         options.add_flat_uncert,
         options.uncert_title,
         options.lumi,
-        plot_name,
+        namepair[0],
         custom_uncerts_up_name,
         custom_uncerts_down_name,
         scheme,
@@ -5515,7 +5688,8 @@ def MergeXBins(hist):
         options.qcd_ff_closure,
         options.w_ff_closure,
         options.bkg_comp,
-        options.plot_signals.split(",")
+        options.plot_signals.split(","),
+        namepair[1]
         )
     else:    
       plotting.HTTPlotSignal(nodename, 
@@ -5587,16 +5761,14 @@ def MergeXBins(hist):
    #          plot_name,
    #          "#mu#tau_{h}")
 
-
 #norm signal yields on datacards to 1pb AFTER plotting    
 outfile =  ROOT.TFile(output_name, 'UPDATE')
 for add_name in add_names: 
     if options.analysis in ['mssm','mssmrun2']:
         NormSignals(outfile,add_name)
 
-
 # for smsummer16 need to ad WplusH and WminusH templates into one
-if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
+if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
   outfile.cd(nodename)
   directory = outfile.Get(nodename)
   hists_to_add = []
@@ -5611,7 +5783,6 @@ def MergeXBins(hist):
       hists_to_add.append(hist)
   for hist in hists_to_add: hist.Write()
 
-
 if options.analysis in ['mssmrun2','vlq']: #and options.era not in ['UL_16_preVFP','UL_16_postVFP','UL_17','UL_18']: //was failing before
    RenameMSSMrun2Datacards(outfile)
 
diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
deleted file mode 100644
index 9d88043d5..000000000
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot_Run3.py
+++ /dev/null
@@ -1,5792 +0,0 @@
-import ROOT
-import os
-import glob
-import json
-from UserCode.ICHiggsTauTau.analysis import *
-from UserCode.ICHiggsTauTau.uncertainties import ufloat
-from optparse import OptionParser
-import argparse
-import ConfigParser
-import UserCode.ICHiggsTauTau.plotting as plotting
-from collections import OrderedDict
-import copy
-
-CHANNELS= ['et', 'mt', 'em','tt','zmm','zee','mj']
-ANALYSIS= ['sm','mssm','Hhh']
-METHODS= [8 ,9, 10, 11, 12 , 13, 14, 15, 16, 17, 18, 19]
-
-conf_parser = argparse.ArgumentParser(
-    description=__doc__,
-    formatter_class=argparse.RawDescriptionHelpFormatter,
-    add_help=False
-    )
-conf_parser.add_argument("--cfg",
-                    help="Specify config file", metavar="FILE")
-options, remaining_argv = conf_parser.parse_known_args()
-
-defaults = { 
-    "channel":"mt" , "outputfolder":"output",
-    "folder":"/vols/cms/dw515/Offline/output/MSSM/Jan11/" , "signal_folder":"", "embed_folder":"",
-    "paramfile":"scripts/Params_2016_spring16.json", "cat":"inclusive", "year":"2016",
-    "era":"mssmsummer16", "sel":"(1)", "set_alias":[], "analysis":"mssm", "var":"m_vis(7,0,140)",
-    "method":8 , "do_ss":False, "do_aiso":False, "sm_masses":"125", "ggh_masses":"", "bbh_masses":"",
-    "bbh_nlo_masses":"", "nlo_qsh":False, "qcd_os_ss_ratio":-1, "add_sm_background":"",
-    "syst_e_scale":"", "syst_mu_scale":"", "syst_tau_scale":"", "syst_tau_scale_0pi":"",
-    "syst_e_res":"", "syst_mu_res":"", "syst_tau_res":"", 
-    "syst_tau_scale_1pi":"", "syst_tau_scale_3prong":"", "syst_tau_scale_3prong1pi0":"", "syst_eff_t":"", "syst_tquark":"",
-    "syst_zwt":"", "syst_w_fake_rate":"", "syst_scale_j":"", "syst_res_j":"", "syst_scale_j_rbal":"",
-    "syst_scale_j_rsamp":"", "syst_scale_j_full":"", "syst_scale_j_cent":"", "syst_scale_j_hf":"", 
-    "syst_scale_j_full_corr":"", "syst_scale_j_cent_corr":"", "syst_scale_j_hf_corr":"",
-    "syst_scale_j_full_uncorr":"", "syst_scale_j_cent_uncorr":"", "syst_scale_j_hf_uncorr":"",
-    "syst_scale_j_by_source":"","jes_sources":"1:27", "syst_eff_b":"", "syst_fake_b":"", "syst_eff_b_weights":"",
-    "norm_bins":False, "blind":False, "x_blind_min":100, "x_blind_max":4000, "ratio":False,
-    "y_title":"", "x_title":"", "custom_y_range":False, "y_axis_min":0.001,
-    "y_axis_max":100,"custom_x_range":False, "x_axis_min":0.001, "x_axis_max":100, "log_x":False,
-    "log_y":False, "extra_pad":0.0, "signal_scale":1, "draw_signal_mass":"", "draw_signal_tanb":10,
-    "signal_scheme":"run2_mssm", "lumi":"12.9 fb^{-1} (13 TeV)", "no_plot":False,
-    "ratio_range":"0.6,1.4", "datacard":"", "do_custom_uncerts":False, "uncert_title":"Background uncertainty", 
-    "custom_uncerts_wt_up":"","custom_uncerts_wt_down":"", "add_flat_uncert":0,
-    "add_stat_to_syst":False, "add_wt":"", "custom_uncerts_up_name":"", "custom_uncerts_down_name":"",
-    "do_ff_systs":False, "syst_efake_0pi_scale":"", "syst_efake_1pi_scale":"", "syst_jfake_scale":"",
-    "syst_mufake_0pi_scale":"", "syst_mufake_1pi_scale":"", "scheme":"","scheme":"", "syst_zpt_es":"",
-    "syst_zpt_tt":"", "syst_zpt_statpt0":"", "syst_zpt_statpt40":"", "syst_zpt_statpt80":"",
-    "syst_jfake_m":"", "syst_jfake_e":"", "syst_z_mjj":"", "syst_qcd_scale":"", "syst_quarkmass":"", "syst_mssm_ggh":False,
-    "syst_ps":"", "syst_ue":"", "doNLOScales":False, "gen_signal":False, "doPDF":False,
-    "doMSSMReWeighting":False, "do_unrolling":1, "syst_tau_id_dm0":"", "syst_tau_id_dm1":"",
-    "syst_tau_id_dm10":"", "syst_lfake_dm0":"","syst_lfake_dm1":"","syst_qcd_shape_wsf":"",
-    "syst_scale_met_unclustered":"","syst_scale_met_clustered":"",
-    "extra_name":"", "no_default":False, "no_systs":False, "embedding":False,"syst_embedding_tt":"", "syst_embed_pt":"",
-    "vbf_background":False, "syst_em_qcd":"", "syst_prefire":"",
-    "syst_scale_met":"", "syst_res_met":"", "split_sm_scheme": False,
-    "ggh_scheme": "powheg", "symmetrise":False, "mergeXbins":False, 'em_qcd_weight':"",
-    "syst_scale_j_corr":"","syst_scale_j_uncorr":"", "syst_qcd_bkg":"",
-    "ff_ss_closure":False, "threePads":False,"auto_blind":False,
-    "syst_tau_id_diff":"", "syst_tau_trg_diff":"","syst_lep_trg_diff":"",
-    "syst_scale_j_regrouped":"", "syst_tau_scale_grouped":"","wp":"medium","singletau":False,"qcd_ff_closure":False,
-    "w_ff_closure":False,"ggh_masses_powheg":"", "bbh_masses_powheg":"", "vlq_sig":"","ratio_log_y":False,"plot_signals":"", "DY_NLO":False, "v2p5":False,
-    "no_qcd_subtract": False, "scale_by_bin":False
-
-}
-
-if options.cfg:
-    config = ConfigParser.SafeConfigParser()
-    config.read([options.cfg])
-    defaults.update(dict(config.items("Defaults")))
-
-parser = argparse.ArgumentParser(
-    parents=[conf_parser]
-    )
-parser.set_defaults(**defaults)
-parser.add_argument("--channel", dest="channel", type=str,
-    help="Tau decay channel to process.  Supported channels: %(CHANNELS)s" % vars())
-parser.add_argument("--outputfolder", dest="outputfolder", type=str,
-    help="Name of output folder")
-parser.add_argument("--folder", dest="folder", type=str,
-    help="Name of input folder")
-parser.add_argument("--signal_folder", dest="signal_folder", type=str,
-    help="If specified will use as input folder for signal samples, else will use same directroy specified by \"folder\" option.")
-parser.add_argument("--embed_folder", dest="embed_folder", type=str,
-    help="If specified will use as input folder for embed samples, else will use same directroy specified by \"folder\" option.")
-parser.add_argument("--paramfile", dest="paramfile", type=str,
-    help="Name of parameter file")
-parser.add_argument("--cat", dest="cat", type=str,
-    help="Category")
-parser.add_argument("--datacard", dest="datacard", type=str,
-    help="Datacard name")
-parser.add_argument("--year", dest="year", type=str,
-    help="Year")
-parser.add_argument("--era", dest="era", type=str,
-    help="Era")
-parser.add_argument("--sel", dest="sel", type=str,
-    help="Selection")
-parser.add_argument("--set_alias", action="append", dest="set_alias", type=str,
-    help="Overwrite alias selection using this options. Specify with the form --set_alias=nameofaliastoreset:newselection")
-parser.add_argument("--analysis", dest="analysis", type=str, 
-    help="Analysis.  Supported options: %(CHANNELS)s" % vars())
-parser.add_argument("--var", dest="var", type=str,
-    help="Variable to plot")
-parser.add_argument("--method", dest="method", type=int,
-    help="Method.  Supported options: %(METHODS)s" % vars())
-parser.add_argument("--do_aiso", dest="do_aiso", action='store_true',
-    help="Anti-isolate electron / muon")
-parser.add_argument("--do_ss", dest="do_ss", action='store_true',
-    help="Do same-sign.")
-parser.add_argument("--sm_masses", dest="sm_masses", type=str,
-    help="Comma seperated list of SM signal masses.")
-parser.add_argument("--ggh_masses", dest="ggh_masses", type=str,
-    help="Comma seperated list of SUSY ggH signal masses.")
-parser.add_argument("--bbh_nlo_masses", dest="bbh_nlo_masses", type=str,
-    help="Comma seperated list of SUSY NLO bbH signal masses.")
-parser.add_argument("--nlo_qsh", dest="nlo_qsh", action='store_true',
-    help="Do the Up/Down Qsh variations for NLO samples.")
-parser.add_argument("--doNLOScales", dest="doNLOScales", action='store_true',
-    help="Do the Up/Down QCD scale variations for NLO samples and compute uncertainties.")
-parser.add_argument("--doPDF", dest="doPDF", action='store_true',
-    help="Do PDF and alphaS variations for NLO samples and compute uncertainties.")
-parser.add_argument("--doMSSMReWeighting", dest="doMSSMReWeighting", action='store_true',
-    help="Do mA-tanb dependent reweighting of MSSM ggH signal.")
-parser.add_argument("--bbh_masses", dest="bbh_masses", type=str,
-    help="Comma seperated list of SUSY bbH signal masses.")
-parser.add_argument("--qcd_os_ss_ratio", dest="qcd_os_ss_ratio", type=float,
-    help="QCD OS/SS ratio")
-parser.add_argument("--add_sm_background", dest="add_sm_background", type=str,
-    help="Add SM Higgs background for MSSM")
-parser.add_argument("--syst_tau_scale", dest="syst_tau_scale", type=str,
-    help="If this string is set then the systematic shift due to tau energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_e_scale", dest="syst_e_scale", type=str,
-    help="If this string is set then the systematic shift due to electron energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_mu_scale", dest="syst_mu_scale", type=str,
-    help="If this string is set then the systematic shift due to muon energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_scale_0pi", dest="syst_tau_scale_0pi", type=str,
-    help="If this string is set then the systematic shift due to the 1 prong 0 pi tau energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_scale_1pi", dest="syst_tau_scale_1pi", type=str,
-    help="If this string is set then the systematic shift due to the 1 prong 1 pi tau energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_scale_3prong", dest="syst_tau_scale_3prong", type=str,
-    help="If this string is set then the systematic shift due to 3 prong tau energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_scale_3prong1pi0", dest="syst_tau_scale_3prong1pi0", type=str,
-    help="If this string is set then the systematic shift due to 3 prong + 1 pi0 tau energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_scale_grouped", type=str,
-    help="If this string is set then the systematic shift due to tau energy scale is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_e_res", dest="syst_e_res", type=str,
-    help="If this string is set then the systematic shift due to electron energy resolution is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_mu_res", dest="syst_mu_res", type=str,
-    help="If this string is set then the systematic shift due to muon energy resolution is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_res", dest="syst_tau_res", type=str,
-    help="If this string is set then the systematic shift due to tau energy resolution is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_eff_t", dest="syst_eff_t", type=str, default='',
-    help="If this string is set then the systematic shift due to tau ID is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tquark", dest="syst_tquark", type=str,
-    help="If this string is set then the top-quark weight systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_zwt", dest="syst_zwt", type=str,
-    help="If this string is set then the z-reweighting systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_w_fake_rate", dest="syst_w_fake_rate", type=str, default='',
-    help="If this string is set then the W+jets fake-rate systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_j", dest="syst_scale_j", type=str,
-    help="If this string is set then the jet scale systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_res_j", dest="syst_res_j", type=str,
-    help="If this string is set then the jER systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_j_corr", dest="syst_scale_j_corr", type=str,
-    help="If this string is set then the jet scale systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_j_uncorr", dest="syst_scale_j_uncorr", type=str,
-    help="If this string is set then the jet scale systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_j_rbal", dest="syst_scale_j_rbal", type=str,
-    help="If this string is set then the RelativeBal jet scale systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_j_rsamp", dest="syst_scale_j_rsamp", type=str,
-    help="If this string is set then the RelativeSample jet scale systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_j_full", dest="syst_scale_j_full", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta<5)")
-parser.add_argument("--syst_scale_j_cent", dest="syst_scale_j_cent", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = central region (eta<3)")
-parser.add_argument("--syst_scale_j_hf", dest="syst_scale_j_hf", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta>3)")
-parser.add_argument("--syst_scale_j_full_corr", dest="syst_scale_j_full_corr", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta<5). 2016/2017 correlated part.")
-parser.add_argument("--syst_scale_j_cent_corr", dest="syst_scale_j_cent_corr", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = central region (eta<3). 2016/2017 correlated part.")
-parser.add_argument("--syst_scale_j_hf_corr", dest="syst_scale_j_hf_corr", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta>3). 2016/2017 correlated part.")
-parser.add_argument("--syst_scale_j_full_uncorr", dest="syst_scale_j_full_uncorr", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta<5). 2016/2017 correlated part.")
-parser.add_argument("--syst_scale_j_cent_uncorr", dest="syst_scale_j_cent_uncorr", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = central region (eta<3). 2016/2017 correlated part.")
-parser.add_argument("--syst_scale_j_hf_uncorr", dest="syst_scale_j_hf_uncorr", type=str,
-    help="If this string is set then the regional jet scale systematic is performed with the set string appended to the resulting histogram name. Region = full region (eta>3). 2016/2017 correlated part.")
-parser.add_argument("--syst_scale_j_by_source", dest="syst_scale_j_by_source", type=str,
-    help="If this string is set then the jet scale systematic is performed split by source with the set string appended to the resulting histogram name. The string should contrain the substring  \'SOUCE\' which will be replaced by the JES source name")
-parser.add_argument("--syst_scale_j_regrouped", dest="syst_scale_j_regrouped", type=str,
-    help="If this string is set then the set of regrouped jet scale systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--jes_sources", dest="jes_sources", type=str,
-    help="JES sources to process specified by integers seperated by commas. Values seperated by x\':\'y will process all integers from x to y. e.g using --jes_sources=1:3,10 will process sources: 1,2,3,10")
-parser.add_argument("--syst_eff_b", dest="syst_eff_b", type=str,
-    help="If this string is set then the b-tag efficiency systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_eff_b_weights", dest="syst_eff_b_weights", type=str,
-    help="If this string is set then the b-tag efficiency systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_fake_b", dest="syst_fake_b", type=str,
-    help="If this string is set then the b-tag fake-rate systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--norm_bins", dest="norm_bins", action='store_true',
-    help="Normalize bins by bin width.")
-parser.add_argument("--blind", dest="blind", action='store_true',
-    help="Blind histogram.")
-parser.add_argument("--x_blind_min", dest="x_blind_min", type=float,
-    help="Minimum x for blinding.")
-parser.add_argument("--x_blind_max", dest="x_blind_max", type=float,
-    help="Maximum x for blinding.")
-parser.add_argument("--ratio", dest="ratio", action='store_true',
-    help="Draw ratio.")
-parser.add_argument("--y_title", dest="y_title", type=str,
-    help="Y-axis title.")
-parser.add_argument("--x_title", dest="x_title", type=str,
-    help="X-axis title.")
-parser.add_argument("--custom_y_range", dest="custom_y_range", action='store_true',
-    help="Use custom y-axis range")
-parser.add_argument("--y_axis_min", dest="y_axis_min", type=float,
-    help="Minimum y-axis value.")
-parser.add_argument("--y_axis_max", dest="y_axis_max", type=float,
-    help="Maximum y-axis value.")
-parser.add_argument("--custom_x_range", dest="custom_x_range", action='store_true',
-    help="Use custom x-axis range")
-parser.add_argument("--x_axis_min", dest="x_axis_min", type=float,
-    help="Minimum x-axis value.")
-parser.add_argument("--x_axis_max", dest="x_axis_max", type=float,
-    help="Maximum x-axis value.")
-parser.add_argument("--log_x", dest="log_x", action='store_true',
-    help="Set log scale on x-axis.")
-parser.add_argument("--log_y", dest="log_y", action='store_true',
-    help="Set log scale on y-axis.")
-parser.add_argument("--ratio_log_y", dest="ratio_log_y", action='store_true',
-    help="Set log scale on ratio y-axis.")
-parser.add_argument("--extra_pad", dest="extra_pad", type=float,
-    help="Fraction of extra whitespace at top of plot.")
-parser.add_argument("--signal_scale", dest="signal_scale", type=float,
-    help="Signal scale.")
-parser.add_argument("--draw_signal_mass", dest="draw_signal_mass", type=str,
-    help="Signal mass.")
-parser.add_argument("--draw_signal_tanb", dest="draw_signal_tanb", type=float,
-    help="Signal tanb.")
-parser.add_argument("--signal_scheme", dest="signal_scheme", type=str,
-    help="Signal scale.")
-parser.add_argument("--lumi", dest="lumi", type=str,
-    help="Lumi.")
-parser.add_argument("--no_plot", dest="no_plot", action='store_true',
-    help="If option is set then no pdf or png plots will be created only the output root file will be produced.")
-parser.add_argument("--ratio_range", dest="ratio_range", type=str,
-    help="y-axis range for ratio plot in format MIN,MAX")
-parser.add_argument("--do_custom_uncerts", dest="do_custom_uncerts", action='store_true',
-    help="Do custom uncertainty band. Up and down weights for this uncertainty band should be set using \"custom_uncerts_wt_up\" and \"custom_uncerts_wt_down\" options")
-parser.add_argument("--custom_uncerts_down_name", dest="custom_uncerts_down_name", type=str,
-    help="Name of histogram to use for uncertainty down band")
-parser.add_argument("--custom_uncerts_up_name", dest="custom_uncerts_up_name", type=str,
-    help="Name of histogram to use for uncertainty up band")
-parser.add_argument("--custom_uncerts_wt_up", dest="custom_uncerts_wt_up", type=str,
-    help="Up weight for custom uncertainty band")
-parser.add_argument("--custom_uncerts_wt_down", dest="custom_uncerts_wt_down", type=str,
-    help="Down weight for custom uncertainty band")
-parser.add_argument("--uncert_title", dest="uncert_title", type=str,
-    help="Custom uncertainty band legend label")
-parser.add_argument("--add_stat_to_syst", dest="add_stat_to_syst", action='store_true',
-    help="Add custom uncertainty band to statistical uncertainty.")
-parser.add_argument("--add_flat_uncert", dest="add_flat_uncert", type=float,
-    help="If set to non-zero will add a flat uncertainty band in quadrature to the uncertainty.")
-parser.add_argument("--add_wt", dest="add_wt", type=str,
-    help="Name of additional weight to be applied to all templates.")
-parser.add_argument("--do_ff_systs", dest="do_ff_systs", action='store_true',
-    help="Do fake-factor systamatic shifts.")
-parser.add_argument("--syst_efake_0pi_scale", dest="syst_efake_0pi_scale", type=str,
-    help="If this string is set then the e->tau dm=0 fake-rate systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_efake_1pi_scale", dest="syst_efake_1pi_scale", type=str,
-    help="If this string is set then the e->tau dm=1 fake-rate systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_mufake_0pi_scale", dest="syst_mufake_0pi_scale", type=str,
-    help="If this string is set then the mu->tau dm=0 fake-rate systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_mufake_1pi_scale", dest="syst_mufake_1pi_scale", type=str,
-    help="If this string is set then the mu->tau dm=1 fake-rate systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_jfake_scale", dest="syst_jfake_scale", type=str,
-    help="If this string is set then the j->tau fake-rate systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--scheme", dest="scheme", type=str,
-    help="Set plotting scheme")
-parser.add_argument("--syst_zpt_es", dest="syst_zpt_es", type=str,
-    help="If this string is set then the zpT muon ES systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_zpt_tt", dest="syst_zpt_tt", type=str,
-    help="If this string is set then the zpT tt X-section systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_zpt_statpt0", dest="syst_zpt_statpt0", type=str,
-    help="If this string is set then the zpT statistical pt0 systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_zpt_statpt40", dest="syst_zpt_statpt40", type=str,
-    help="If this string is set then the zpT statistical pt40 systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_zpt_statpt80", dest="syst_zpt_statpt80", type=str,
-    help="If this string is set then the zpT statistical pt80 systematic is performed with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_jfake_e", dest="syst_jfake_e", type=str,
-    help="If set, adds the e->jet fake rate uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_jfake_m", dest="syst_jfake_m", type=str,
-    help="If set, adds the e->jet fake rate uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_z_mjj", dest="syst_z_mjj", type=str,
-    help="If set then add the uncertainty on the Z mjj corrections")
-parser.add_argument("--syst_qcd_scale", dest="syst_qcd_scale", type=str,
-    help="If set then add the qcd scale uncertainty for ggH")
-parser.add_argument("--syst_quarkmass", dest="syst_quarkmass", type=str,
-    help="If set then add the finite quark mass uncertainty for ggH")
-parser.add_argument("--syst_ps", dest="syst_ps", type=str,
-    help="If set then add the PS uncertainty for ggH")
-parser.add_argument("--syst_ue", dest="syst_ue", type=str,
-    help="If set then add the UE uncertainty for ggH")
-parser.add_argument("--syst_mssm_ggh", dest="syst_mssm_ggh", action='store_true',
-    help="If set then add the ggH uncertainties for the MSSM (scale and Hdamp uncerts)")
-parser.add_argument("--syst_tau_id_dm0", dest="syst_tau_id_dm0", type=str,
-    help="If set, adds the tau dm = 0 id uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_id_dm1", dest="syst_tau_id_dm1", type=str,
-    help="If set, adds the tau dm = 1 id uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_tau_id_dm10", dest="syst_tau_id_dm10", type=str,
-    help="If set, adds the tau dm = 10 id uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_lfake_dm0", dest="syst_lfake_dm0", type=str,
-    help="If set, adds the e/mu->tau dm = 0 fake-rate uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_lfake_dm1", dest="syst_lfake_dm1", type=str,
-    help="If set, adds the e/mu->tau dm = 1 fake-rate uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_qcd_shape_wsf", dest="syst_qcd_shape_wsf", type=str,
-    help="If set, adds QCD shape uncertainty relating to W subtraction from SS data with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_met_unclustered", dest="syst_scale_met_unclustered", type=str,
-    help="If set, adds the unclustered energy MET uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_scale_met_clustered", dest="syst_scale_met_clustered", type=str,
-    help="If set, adds the clustered energy MET uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--gen_signal", dest="gen_signal", action='store_true',
-    help="If set then use generator-level tree for signal")
-parser.add_argument("--do_unrolling", dest="do_unrolling", type=int,
-    help="If argument is set to true will unroll 2D histograms into 1D histogram.")
-parser.add_argument("--no_default", dest="no_default", action='store_true',
-    help="If option is speficied then don't do nominal histograms.")
-parser.add_argument("--no_systs", dest="no_systs", action='store_true',
-    help="If option is speficied then don't do systematics histograms.")
-parser.add_argument("--extra_name", dest="extra_name", type=str,
-    help="If set, adds an additional string to the output datacard name")
-parser.add_argument("--embedding", dest="embedding", action='store_true',
-    help="If option is speficied then use embedded samples for ZTT templates.")
-parser.add_argument("--syst_embedding_tt", dest="syst_embedding_tt", type=str,
-    help="If set, adds systematic templates for embedding corresponding to TTbar shift of +/-10\% ")
-parser.add_argument("--syst_embed_pt", dest="syst_embed_pt", type=str,
-    help="If set, adds systematic templates for embedding corresponding to Z->mumu non-closures ")
-parser.add_argument("--vbf_background", dest="vbf_background", action='store_true',
-    help="Add VBF to total background template")
-parser.add_argument("--syst_em_qcd", dest="syst_em_qcd", type=str,
-    help="If set, adds the QCD shape uncertainties for the em channel. You string should contain *BIN")
-parser.add_argument("--syst_scale_met", dest="syst_scale_met", type=str,
-    help="If set, adds the recoil corrected MET response uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--syst_res_met", dest="syst_res_met", type=str,
-    help="If set, adds the recoil corrected MET resolution uncertainty with the set string appended to the resulting histogram name")
-parser.add_argument("--split_sm_scheme", dest="split_sm_scheme", action='store_true',
-    help="If set, splits the SM signal scheme into ggH, qqH and VH")
-parser.add_argument("--ggh_scheme", dest="ggh_scheme", type=str,
-    help="Decide which ggH scheme to plot with in split SM scheme mode (powheg or JHU)")
-parser.add_argument("--symmetrise", dest="symmetrise", action='store_true',
-    help="Use this option to symmetrise dijet Delta_phi bins in 2D histogram around centre bin")
-parser.add_argument("--mergeXbins", dest="mergeXbins", action='store_true',
-    help="Use this option to merge x bins to improve stats - to be used is the backgrounds are flat as a function of the X variable")
-parser.add_argument("--em_qcd_weight", dest="em_qcd_weight", type=str,
-    help="Define custom em QCD OSSS weight/function")
-parser.add_argument("--syst_qcd_bkg", dest="syst_qcd_bkg", type=str,
-    help="If set, adds systematic templates corresponding to shifting background subtraction in QCD method up/down by +/-10\% ")
-parser.add_argument("--syst_prefire", dest="syst_prefire", type=str,
-    help="If set, adds systematic templates corresponding to uncertainty on pre-firing correction.")
-parser.add_argument("--syst_tau_id_diff", dest="syst_tau_id_diff", type=str,
-    help="Do shape uncertainty corresponding to shifting the tau id SFs. The string you pass as the argument should contain either *DM, in which case the DM binned version will be used, or *PT in which base the pT binned version will be used.")
-parser.add_argument("--syst_tau_trg_diff", dest="syst_tau_trg_diff", type=str,
-    help="Do shape uncertainty corresponding to shifting the tau trigger SFs. The string you pass as the argument should contain either *DM which will be replaced with DMi for i=0,1,10,11")
-parser.add_argument("--syst_lep_trg_diff", dest="syst_lep_trg_diff", type=str,
-    help="Do shape uncertainty corresponding to shifting the lepton trigger SFs.")
-parser.add_argument("--ff_ss_closure", dest="ff_ss_closure", action='store_true',
-    help="If set then applies a non-closure correction to fake factor yields based on differences in SS data.")
-parser.add_argument("--threePads", dest="threePads", action='store_true',
-    help="If set then draws three pads (one ratio + additional).")
-parser.add_argument("--wp", dest="wp", type=str,
-    help="Tau ID working point to use (only works for mssmrun2).")
-parser.add_argument("--singletau", dest="singletau", action='store_true',
-    help="If set then use singletau baseline (only works for mssmrun2).")
-parser.add_argument("--qcd_ff_closure", dest="qcd_ff_closure", action='store_true',
-    help="Will run closure plot for QCD DR (mssmrun2)")
-parser.add_argument("--w_ff_closure", dest="w_ff_closure", action='store_true',
-    help="Will run closure plot for W DR (mssmrun2)")
-parser.add_argument("--bbh_masses_powheg", dest="bbh_masses_powheg", type=str,
-    help="SUSY bbh masses to run more powheg samples")
-parser.add_argument("--ggh_masses_powheg", dest="ggh_masses_powheg", type=str,
-    help="SUSY ggh masses to run more powheg samples")
-parser.add_argument("--bkg_comp", dest="bkg_comp", action='store_true',
-    help="Will plot the background composition on the 2nd pad and ratio on 3rd. Needs to be run with threePads.")
-parser.add_argument("--ml_ff", dest="ml_ff", action='store_true',
-    help="Use machine learning fake factors for mssmrun2.")
-parser.add_argument("--vlq_sig", dest="vlq_sig", type=str,
-    help="Comma separated list of signal parameter names i.e. vlq_betaRd33_minus1_mU4_gU1,vlq_betaRd33_minus1_mU4_gU2,vlq_betaRd33_minus1_mU4_gU3")
-parser.add_argument("--plot_signals", dest="plot_signals", type=str,
-    help="Comma separated list of what signals to plot")
-parser.add_argument("--DY_NLO", dest="DY_NLO", action='store_true',
-    help="Use DY NLO samples")
-parser.add_argument("--plot_from_dc", default="", type=str,
-      help="If not empty will draw plot straight from datacard")
-parser.add_argument("--v2p5", dest="v2p5", action='store_true',
-      help="Get version of DeepTau v2p5"),
-parser.add_argument("--no_qcd_subtract", dest="no_qcd_subtract", action='store_true',
-    help="Do not subtract background when estimating qcd events")
-parser.add_argument("--scale_by_bin", dest="scale_by_bin", action='store_true',
-    help="Scale QCD by bin")
-options = parser.parse_args(remaining_argv)   
-
-print 'do_unrolling = %s' % options.do_unrolling 
-
-print ''
-print '################### Options ###################'
-print 'channel           = ' + options.channel
-print 'outputfolder      = ' + options.outputfolder
-print 'folder            = ' + options.folder
-print 'paramfile         = ' + options.paramfile
-print 'cat               = ' + options.cat
-print 'datacard          = ' + options.datacard
-print 'year              = ' + options.year
-print 'era               = ' + options.era
-print 'sel               = ' + options.sel
-print 'analysis          = ' + options.analysis
-print 'var               = ' + options.var
-print 'method            ='  ,  options.method
-print 'do_ss             ='  ,  options.do_ss
-print 'sm_masses         = ' +  options.sm_masses
-print 'ggh_masses        = ' +  options.ggh_masses
-print 'bbh_masses        = ' +  options.bbh_masses
-print 'qcd_os_ss_ratio   ='  ,  options.qcd_os_ss_ratio
-print 'add_sm_background ='  ,  options.add_sm_background
-print 'syst_tau_scale    ='  ,  options.syst_tau_scale
-print 'syst_eff_t        ='  ,  options.syst_eff_t
-print 'syst_tquark       ='  ,  options.syst_tquark
-print 'syst_zwt          ='  ,  options.syst_zwt
-print 'syst_w_fake_rate  ='  ,  options.syst_w_fake_rate
-print 'syst_scale_j      ='  ,  options.syst_scale_j
-print 'syst_eff_b        ='  ,  options.syst_eff_b
-print 'syst_fake_b       ='  ,  options.syst_fake_b
-print 'do_ff_systs       ='  ,  options.do_ff_systs
-print 'singletau         ='  ,  options.singletau
-print 'DY-NLO            ='  ,  options.DY_NLO
-print '###############################################'
-print ''
-
-# discrete x labels
-discrete_x_axis = False
-plot_var = options.var
-discrete_x_labels=None
-do_eq = False
-do_geq = False
-if  '[' in plot_var and ']' in plot_var:
-  discrete_x_labels = plot_var.split('[')[1].split(']')[0].split(',')
-  for i in discrete_x_labels:
-    if ">=" in i:
-      discrete_x_axis = True
-      do_geq = True
-    elif "==" in i:
-      discrete_x_axis = True
-      do_eq = True
-
-if discrete_x_axis:
-  if do_geq:
-    run_bins = []
-    for i in discrete_x_labels:
-      if ">=" in i:
-        run_bins.append(float(i.replace(">=","")))
-      elif "==" in i:
-        run_bins.append(float(i.replace("==","")))
-      else:
-        run_bins.append(float(i))
-  elif do_eq:
-    run_bins = range(int(discrete_x_labels[0].replace("==","")),int(discrete_x_labels[-1].replace("==",""))+2)  
-  options.var = plot_var.split('[')[0]+str(run_bins)
-else:
-  discrete_x_labels = None 
-
-
-# vbf_background = False
-vbf_background = options.vbf_background
-
-compare_w_shapes = False
-compare_qcd_shapes = False
-if options.scheme == "qcd_shape": compare_qcd_shapes = True
-if options.scheme == "w_shape": compare_w_shapes = True
-w_abs_shift=None # if not None then the QCD shape will be adjusted by shifting the W yield up and down by +/- w_abs_shift
-if options.era in ["mssmsummer16","smsummer16","cpsummer16","cpdecay16","legacy16","tauid2016","mvadm2016"]: options.lumi = "35.9 fb^{-1} (13 TeV)"
-if options.era in ['UL_16_preVFP']: options.lumi = "19.5 fb^{-1} (13 TeV)"
-if options.era in ['UL_16_postVFP']: options.lumi = "16.8 fb^{-1} (13 TeV)"
-
-
-
-
-# option to split the real tau events into rho, pi, a1, other
-split_taus=False
-if options.era == 'mvadm2016' and options.channel=='mt': split_taus=True
-
-cats = {}
-if options.analysis in ['sm','cpprod','cpdecay']:
-    if options.channel == 'mt':
-        cats['baseline'] = '(iso_1<0.15 && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
-        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: 
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>25&&pt_1<23)||(trg_singlemuon&&pt_1>23)))'
-        if options.era in ['tauid2017']:
-          cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && pt_1>25 && trg_singlemuon &&pt_2>20)'
-        if options.era in ['cpsummer17','UL_17','cp18','UL_18','22']:
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && ((trg_mutaucross&&pt_2>32&&pt_1<25)||(trg_singlemuon&&pt_1>25)) && wt<2)'
-        if options.era in ['tauid2016']: 
-          cats['baseline'] = '(iso_1<0.15 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon && pt_1>23)'
-          cats['baseline_loosemu'] = '(iso_1<0.15 && antiele_2 && antimu_loose_2 && !leptonveto && trg_singlemuon && pt_1>23)'
-          cats['pass'] = 'mva_olddm_tight_2>0.5 && pzeta>-25'
-          cats['fail'] = 'mva_olddm_tight_2<0.5 && pzeta>-25'
-    elif options.channel == 'et': 
-        cats['baseline'] = '(iso_1<0.1  && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
-        if options.era in ['smsummer16']: 
-          cats['baseline'] = '(iso_1<0.1  && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
-          cats['baseline_aisotau'] = '(iso_1<0.1 && mva_olddm_vloose_2>0.5 && mva_olddm_tight_2<0.5 && antiele_2 && antimu_2 && leptonveto==0 && trg_singleelectron && pt_2>30)'
-        if options.era in ['tauid2016']: 
-          cats['baseline'] = '(iso_1<0.1 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
-          cats['baseline_loosemu'] = '(iso_1<0.1 && antiele_2 && antimu_loose_2 && !leptonveto && trg_singleelectron)'
-          cats['pass'] = 'mva_olddm_tight_2>0.5 && pzeta>-25'
-          cats['fail'] = 'mva_olddm_tight_2<0.5 && pzeta>-25'
-        if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP']:
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && leptonveto==0 && trg_singleelectron && fabs(wt<2))'
-        if options.era in ['cpsummer17','UL_17']:
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && leptonveto==0 && ((trg_etaucross&&pt_2>35&&pt_1<28&&fabs(eta_2)<2.1)||(trg_singleelectron&&pt_1>28)))'
-        if options.era in ['cp18', 'UL_18']:
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && !leptonveto && ((trg_etaucross&&pt_2>35&&pt_1<33&&fabs(eta_2)<2.1)||(trg_singleelectron&&pt_1>33)))'
-          #cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && ((trg_etaucross&&pt_2>35&&pt_1<33&&fabs(eta_2)<2.1 && fabs(eta_1-eta_2)>0.2)||(trg_singleelectron&&pt_1>33)))&&wt<2'
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_medium_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && ((trg_etaucross&&pt_2>35&&pt_1<33&&fabs(eta_2)<2.1)||(trg_singleelectron&&pt_1>33)))&&wt<2'
-
-elif options.analysis in ['mssmrun2','vlq']:
-    wp = options.wp
-
-    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']:
-      m_lowpt=23
-      e_lowpt=26
-      t_highpt=120
-      t_lowpt_mt=25
-      t_lowpt_et=25
-    if options.era in ['cpsummer17','UL_17']:
-      m_lowpt=25
-      e_lowpt=28
-      t_highpt=180
-      t_lowpt_mt=32
-      t_lowpt_et=35
-    if options.era in ['cp18','UL_18']:
-      m_lowpt=25
-      e_lowpt=33
-      t_highpt=180
-      t_lowpt_mt=32
-      t_lowpt_et=35
-    if options.era in ['22']:
-      m_lowpt=25
-      e_lowpt=33
-      t_highpt=180
-      t_lowpt_mt=32
-      t_lowpt_et=35      
-
-    if options.channel == 'mt':
-        if options.singletau:
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && pt_2>30 && ((trg_mutaucross&&pt_2>%(t_lowpt_mt)s&&pt_2<%(t_highpt)s&&fabs(eta_2)<2.1&&pt_1<%(m_lowpt)s)||(trg_singlemuon&&pt_1>=%(m_lowpt)s)||(trg_singletau_2&&pt_2>=%(t_highpt)s&&fabs(eta_2)<2.1)))' % vars()
-        else:
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_vvloose_2>0.5 && deepTauVsMu_tight_2>0.5 && !leptonveto && pt_2>30 && ((trg_mutaucross&&pt_2>%(t_lowpt_mt)s&&fabs(eta_2)<2.1&&pt_1<%(m_lowpt)s)||(trg_singlemuon&&pt_1>=%(m_lowpt)s)))' % vars()
-
-    if options.channel == 'et':
-        if options.singletau:
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && pt_2>30 && ((trg_etaucross&&pt_2>%(t_lowpt_et)s&&pt_2<%(t_highpt)s&&fabs(eta_2)<2.1&&pt_1<%(e_lowpt)s)||(trg_singleelectron&&pt_1>=%(e_lowpt)s)||(trg_singletau_2&&pt_2>=%(t_highpt)s&&fabs(eta_2)<2.1)))' % vars()
-        else: 
-          cats['baseline'] = '(iso_1<0.15 && deepTauVsJets_%(wp)s_2>0.5 && deepTauVsEle_tight_2>0.5 && deepTauVsMu_vloose_2>0.5 && pt_2>30 && ((trg_etaucross&&pt_2>%(t_lowpt_et)s&&fabs(eta_2)<2.1&&pt_1<%(e_lowpt)s)||(trg_singleelectron&&pt_1>=%(e_lowpt)s)))' % vars()
-        
-elif options.analysis == 'mssm':
-    if options.channel == 'mt':        
-        cats['baseline'] = '(iso_1<0.15 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
-    elif options.channel == 'et':
-        cats['baseline'] = '(iso_1<0.1  && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
-    if options.era == 'mssmsummer16':
-        if options.channel == 'mt':        
-            cats['baseline'] = '(iso_1<0.15 && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
-            cats['baseline_antiisotau'] = '(iso_1<0.15 && 1 && mva_olddm_tight_2<0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
-            cats['ichep_baseline'] = '(iso_1<0.15 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
-        elif options.channel == 'et':
-            cats['baseline'] = '(iso_1<0.1  && mva_olddm_tight_2>0.5 && antiele_2 && antimu_2 && !leptonveto)'
-            cats['baseline_antiisotau'] = '(iso_1<0.1 && mva_olddm_tight_2<0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
-            cats['ichep_baseline'] = '(iso_1<0.1 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
-        elif options.channel == 'mj':        
-            cats['baseline'] = '(iso_1<0.15 && !leptonveto)'
-if options.channel == 'tt':
-    cats['baseline'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
-    if options.era == 'mssmsummer16': cats['baseline'] = '(mva_olddm_medium_1>0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
-    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','mvadm2016']: 
-        cats['baseline'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau && pt_1>40)'
-        cats['baseline_aisotau1'] = '(pt_1>50 && mva_olddm_vloose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_tight_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
-        cats['baseline_aisotau2'] = '(pt_1>50 && mva_olddm_vloose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_tight_1>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
-        cats['baseline_aisotau2_sb'] = '(mva_olddm_vloose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && leptonveto==0 && trg_doubletau)'
-        cats['baseline_aisotau2_sb'] = '(mva_olddm_vloose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_tight_1<0.5 && mva_olddm_medium_1>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && leptonveto==0 && trg_doubletau)'
-    if options.era in ['cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP']:
-      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && trg_doubletau && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-    if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
-      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-    if options.era == '22':
-      cats['baseline'] = '(deepTauVsJets_medium_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-
-    if options.analysis in ['mssmrun2','vlq']:
-      wp = options.wp
-      if options.singletau:
-        if options.era in['legacy16','UL_16_preVFP','UL_16_postVFP']:
-          cats['baseline'] = '(deepTauVsJets_%(wp)s_1>0.5 && deepTauVsJets_%(wp)s_2>0.5 && leptonveto==0 && (trg_doubletau || (pt_1>120 && trg_singletau_1) || (pt_2>120 && trg_singletau_2)) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
-        else:
-          cats['baseline'] = '(deepTauVsJets_%(wp)s_1>0.5 && deepTauVsJets_%(wp)s_2>0.5 && leptonveto==0 && (trg_doubletau || (pt_1>180 && trg_singletau_1) || (pt_2>180 && trg_singletau_2)) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
-      else:
-        cats['baseline'] = '(deepTauVsJets_%(wp)s_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
-       # cats['baseline'] = '(deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)' % vars()
-
-
-elif options.channel == 'em':
-    cats['baseline'] = '(iso_1<0.15 && iso_2<0.2 && !leptonveto)'
-    if options.era == 'mssmsummer16':
-      cats['loose_baseline'] = '(iso_1<0.5 && iso_2>0.2 && iso_2<0.5 && !leptonveto &&trg_muonelectron)'
-    elif options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']:
-      cats['loose_baseline'] = '(wt<2 && iso_1<0.15 && iso_2<0.5 && !leptonveto &&trg_muonelectron)'
-    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.15 && iso_2<0.2 && !leptonveto && trg_muonelectron && pt_1>15 && pt_2>15)'
-    if options.era in ['cpsummer17','UL_17','cp18','UL_18']:
-        cats['baseline'] = '(iso_1<0.15 && iso_2<0.2 && !leptonveto && trg_muonelectron && pt_1>15 && pt_2>15)'
-        cats['loose_baseline'] = '(wt<2 && iso_1<0.15 && iso_2<0.5 && !leptonveto && trg_muonelectron)'
-elif options.channel == 'zmm':
-    cats['baseline'] = '(iso_1<0.15 && iso_2<0.15)'
-    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
-    if options.era in ['cpsummer17','UL_17','cp18','UL_18','22']: cats['baseline'] = '(pt_1>25 && iso_1<0.15 && iso_2<0.15 && trg_singlemuon)'
-elif options.channel == 'zee':
-    cats['baseline'] = '(iso_1<0.1 && iso_2<0.1)'
-    if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(iso_1<0.1 && iso_2<0.1 && trg_singleelectron && fabs(wt)<2)'
-
-    #if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['baseline'] = '(1)'
-
-    if options.era in ['cpsummer17','UL_17']: cats['baseline'] = '(pt_1>28&&pt_2>13&&iso_1<0.15 && iso_2<0.15 && trg_singleelectron && fabs(wt)<2)'
-
-    #if options.era in ['cpsummer17','UL_17']: cats['baseline'] = '(1)'
-
-    if options.era in ['cp18','UL_18']: 
-        cats['baseline'] = '(pt_1>33 && pt_2>13 && iso_1<0.15 && iso_2<0.15 && trg_singleelectron && fabs(wt)<2)'
-
-if options.analysis == 'cpdecay':
-  if options.channel in ['mt','et']: cats['baseline'] += ' && mva_dm_2>=0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && m_vis>40'
-  if options.channel in ['tt']: cats['baseline'] += ' && mva_dm_1>=0 && mva_dm_2>=0 && (mva_dm_1>=1&&tau_decay_mode_1==0)==0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && mva_dm_1<11 && mva_dm_2<11 && m_vis>40 && (mva_dm_1!=0 || ip_sig_1>1.5) && (mva_dm_2!=0 || ip_sig_2>1.5)'
-
-  cats['tt_loose_baseline'] = '((deepTauVsJets_medium_1>0.5 && deepTauVsJets_vvvloose_2>0.5 && deepTauVsJets_medium_2<0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2) && mva_dm_1>=0 && mva_dm_2>=0 && (mva_dm_1>=1&&tau_decay_mode_1==0)==0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && mva_dm_1<11 && mva_dm_2<11 && m_vis>40 && (mva_dm_1!=0 || ip_sig_1>1.5) && (mva_dm_2!=0 || ip_sig_2>1.5))'
-  cats['tt_loose_baseline_2'] = '((deepTauVsJets_medium_1>0.5 && deepTauVsJets_vvvloose_2>0.5 && deepTauVsJets_vvloose_2<0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2) && mva_dm_1>=0 && mva_dm_2>=0 && (mva_dm_1>=1&&tau_decay_mode_1==0)==0 && (mva_dm_2>=1&&tau_decay_mode_2==0)==0 && mva_dm_1<11 && mva_dm_2<11 && m_vis>40 && (mva_dm_1!=0 || ip_sig_1>1.5) && (mva_dm_2!=0 || ip_sig_2>1.5))'
-
-if options.w_ff_closure:
-  cats['baseline'] = '(' + cats['baseline'] + ' && mt_1>70 && n_deepbjets==0)'
-elif options.qcd_ff_closure:
-  if options.channel in ['et','mt']:
-    cats['baseline'] = '(' + cats['baseline'] + ' && mt_1<50 && iso_1>0.05)'
-    options.do_ss = True
-  elif options.channel == 'tt':
-    options.do_ss = True
-
-if options.analysis == 'cpprod':
-  if options.channel in ['mt','et']: cats['baseline'] += ' && pt_2>30'
-  if options.channel in ['tt']: cats['baseline'] += ' && pt_1>50'
-  cats['baseline'] = cats['baseline'].replace('deepTauVsEle_vvloose_2','deepTauVsEle_vvvloose_2').replace('deepTauVsEle_vvloose_1','deepTauVsEle_vvvloose_1')
-
-cats['baseline'] = cats['baseline'].replace('pt_2>30','pt_2>20') # delete me!!!
-#cats['baseline'] = cats['baseline'].replace('leptonveto','(extramuon_veto||extraelec_veto)') # delete me!!!
-
-cats['oneprong'] = '(tau_decay_mode_2<3)'
-cats['threeprong'] = '(tau_decay_mode_2>9)'
-cats['dm0'] = '(tau_decay_mode_2==0)'
-cats['dm1'] = '(tau_decay_mode_2==1)'
-cats['dm1_ptLt40'] = '(tau_decay_mode_2==1&&pt_2<40)'
-cats['inclusive_ptLt40'] = '(pt_2<40)'
-cats['dm10'] = '(tau_decay_mode_2==10)'
-cats['dm11'] = '(tau_decay_mode_2==11)'
-cats['pt20to30'] = '(pt_2>20&&pt_2<30)'
-cats['pt30to40'] = '(pt_2>30&&pt_2<40)'
-cats['pt40to60'] = '(pt_2>40&&pt_2<60)'
-cats['ptGt60'] = '(pt_2>60)'
-
-for x in ['pt20to30','pt30to40','pt40to60','ptGt60']:
-  cats['inclusive_'+x] = cats[x] 
-  for dm in [0,1,10,11]: cats['dm%i_%s' % (dm,x) ] = cats['dm%i' % dm] + '&&' + cats[x] 
-
-cats['baseline'] = cats['baseline'].replace('pt_2>30','pt_2>20') # delete me!!! - this is to select pT down to 20 for SF measurments!!!!!
-#cats['baseline'] = cats['baseline'].replace('leptonveto','(extramuon_veto||extraelec_veto)') # delete me!!! - this is to select pT down to 20 for SF measurments!!!!!
-
-cats['qcd_loose_shape'] = cats['baseline'].replace('iso_1<0.15','iso_1>0.05&&iso_1<0.3')
-
-cats['inclusive'] = '(1)'
-cats['wj_cut'] = "mt_1 < 40 && pt_1 > 40" 
-cats['w_os'] = 'os'
-cats['w_sdb'] = 'mt_1>70.'
-cats['pass'] = 'mva_olddm_tight_2>0.5 && pzeta>-25'
-cats['fail'] = 'mva_olddm_tight_2<0.5 && pzeta>-25'
-if options.era in ['smsummer16']: cats['w_sdb'] = 'mt_1>80.'
-cats['w_sdb_os'] = 'os'
-cats['tt_qcd_norm'] = '(mva_olddm_tight_1>0.5 && mva_olddm_medium_2>0.5 &&mva_olddm_tight_2<0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
-if options.era == 'mssmsummer16': cats['tt_qcd_norm'] = '(mva_olddm_medium_1>0.5 && mva_olddm_loose_2>0.5 &&mva_olddm_medium_2<0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
-if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: cats['tt_qcd_norm'] = '(pt_1>40 && ((mva_olddm_loose_1>0.5 && mva_olddm_tight_1<0.5 && mva_olddm_medium_2>0.5) || (mva_olddm_loose_2>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_1>0.5))  && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)&&trg_doubletau'
-# if options.era in ['cpsummer17','cp18']: cats['tt_qcd_norm'] = '(mva_olddm_tight_1>0.5 && mva_olddm_tight_2<0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto && trg_doubletau)'
-
-cats['tt_qcd_norm'] = '(deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2>0.5 && leptonveto==0 && (trg_doubletau && pt_2>40) && deepTauVsEle_vvloose_1 && deepTauVsEle_vvloose_2 && deepTauVsMu_vloose_1 && deepTauVsMu_vloose_2)'
-
-
-# CR categories
-cats['ztt_control'] = '(m_sv>60&&m_sv<100)'
-cats['ztt_control_dijet'] = '(m_sv>60&&m_sv<100 && n_jets>1)'
-if options.channel == 'em':
-  cats['ztt_control'] = '(m_sv>60&&m_sv<100 && n_bjets==0)'
-  cats['ztt_control_dijet'] = '(m_sv>60&&m_sv<100 && n_jets>1 && n_bjets==0)'
-
-# MSSM categories
-#cats['btag'] = '(n_bjets>=1)'
-#cats['nobtag'] = '(n_bjets==0)'
-# loose/tight iso-MT categories
-cats['atleast1bjet'] = '(n_bjets>0)'
-cats['btag_wnobtag']='(n_lowpt_jets>=1)' # this is the one that is used for the b-tag method 16!
-cats['0jet'] = '(n_jets==0)'
-cats['1jet'] = '(n_jets==1)'
-cats['ge2jet'] = '(n_jets>=2)'
-cats['btag_tight_wnobtag']='(n_lowpt_jets>=1)'
-cats['w_shape']=''
-cats['qcd_shape']=''
-cats['w_shape_comp']=''
-cats['qcd_shape_comp']=''
-cats['Nbtag0_NjetsGt1'] = '(n_deepbjets==0 && n_jets>0 && jpt_1>50 && m_vis>100)'
-
-# MSSM run 2 categories
-if options.channel == "tt":
-  cats['NbtagGt1'] = '(n_deepbjets>0)'
-  cats['Nbtag0'] = '(n_deepbjets==0)'
-elif options.channel in ["et","mt"]:
-  cats['NbtagGt1'] = '(n_deepbjets>0 && mt_1<70)'
-  cats['Nbtag0'] = '(n_deepbjets==0 && mt_1<70)'
-elif options.channel == "em":
-  cats['NbtagGt1'] = '(n_deepbjets>0 && pzeta>-35)'
-  cats['Nbtag0'] = '(n_deepbjets==0 && pzeta>-35)'
-
-cats['Nbtag0_MTLt40'] = '(n_deepbjets==0 && mt_1<40)'
-cats['Nbtag0_MT40To70'] = '(n_deepbjets==0 && mt_1>40 && mt_1<70)'
-cats['NbtagGt1_MTLt40'] = '(n_deepbjets>0 && mt_1<40)'
-cats['NbtagGt1_MT40To70'] = '(n_deepbjets>0 && mt_1>40 && mt_1<70)'
-
-cats['Nbtag0_MHGt250'] = '(n_deepbjets==0 && svfit_mass>250)'
-cats['Nbtag0_MHGt200'] = '(n_deepbjets==0 && svfit_mass>200)'
-
-cats['Nbtag0_MTLt40_MHGt250'] = '(n_deepbjets==0 && mt_1<40 && svfit_mass>250)'
-cats['Nbtag0_MT40To70_MHGt250'] = '(n_deepbjets==0 && mt_1>40 && mt_1<70 && svfit_mass>250)'
-
-cats['Nbtag0_MTLt40_MHGt200'] = '(n_deepbjets==0 && mt_1<40 && svfit_mass>200)'
-cats['Nbtag0_MT40To70_MHGt200'] = '(n_deepbjets==0 && mt_1>40 && mt_1<70 && svfit_mass>200)'
-
-cats['Nbtag1'] = '(n_deepbjets==1)'
-cats['Nbtag1_MTLt40'] = '(n_deepbjets==1 && mt_1<40)'
-cats['Nbtag1_MT40To70'] = '(n_deepbjets==1 && mt_1>40 && mt_1<70)'
-
-cats['Nbtag0_MTLt70'] = '(n_deepbjets==0 && mt_1<70)'
-cats['NbtagGt1_MTLt70'] = '(n_deepbjets>0 && mt_1<70)'
-cats['MTLt70'] = '(mt_1<70)'
-
-cats['tightmt'] = '(mt_1<40)'
-cats['loosemt'] = '(mt_1>40 && mt_1<70)'
-
-cats['wjets_control'] = '(mt_1>70 && n_deepbjets==0)'
-if options.channel == "tt":
-  cats['qcd_control'] = '(1)'
-elif options.channel in ["et","mt"]:
-  cats['qcd_control'] = 'mt_1<50 && iso_1>0.05'
-
-if options.cat == 'qcd_control':
-  options.do_ss = True
-
-cats['Nbtag0_DZetaGt30'] = '(n_deepbjets==0 && pzeta>30)'
-cats['Nbtag0_DZetam10To30'] = '(n_deepbjets==0 && pzeta<=30 && pzeta>-10)'
-cats['Nbtag0_DZetam35Tom10'] = '(n_deepbjets==0 && pzeta<=-10 && pzeta>-35)'
-cats['NbtagGt1_DZetaGt30'] ='(n_deepbjets>0 && pzeta>30)'
-cats['NbtagGt1_DZetam10To30'] ='(n_deepbjets>0 && pzeta<=30 && pzeta>-10)'
-cats['NbtagGt1_DZetam35Tom10'] ='(n_deepbjets>0 && pzeta<=-10 && pzeta>-35)'
-cats['NbtagGt1_DZetaLtm35'] = '(n_deepbjets>0 && pzeta<=-35)'
-
-cats['Nbtag0_DZetaGt30_MHGt250'] = '(n_deepbjets==0 && pzeta>30 && svfit_mass>250)'
-cats['Nbtag0_DZetam10To30_MHGt250'] = '(n_deepbjets==0 && pzeta<=30 && pzeta>-10 && svfit_mass>250)'
-cats['Nbtag0_DZetam35Tom10_MHGt250'] = '(n_deepbjets==0 && pzeta<=-10 && pzeta>-35 && svfit_mass>250)'
-
-cats['DZetaGtm35'] = '(pzeta>-35)'
-
-
-if options.channel == 'et': cats['baseline_loose'] = '(iso_1<0.3 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto &&  trg_singleelectron)'
-if options.channel == 'mt': cats['baseline_loose'] = '(iso_1<0.3 && mva_olddm_medium_2>0.5 && antiele_2 && antimu_2 && !leptonveto && (trg_singlemuon*(pt_1>23) || trg_mutaucross*(pt_1<23)))'
-
-# MVA DM categories for SF measurments
-cats['mvadm_pi'] = 'mvadm_pi_2>mvadm_rho_2&&mvadm_pi_2>mvadm_a1_2'
-cats['mvadm_rho'] = 'mvadm_rho_2>mvadm_pi_2&&mvadm_rho_2>mvadm_a1_2'
-cats['mvadm_a1'] = 'mvadm_a1_2>mvadm_pi_2&&mvadm_a1_2>mvadm_rho_2'
-cats['mvadm_rho'] = 'mvadm_rho_2>mvadm_pi_2&&mvadm_rho_2>mvadm_a1_2'
-cats['mvadm_notrho'] = '!(mvadm_rho_2>mvadm_pi_2&&mvadm_rho_2>mvadm_a1_2)'
-
-# SM categories
-cats['0jet'] = '(n_jets==0)'
-if options.channel == 'em': cats['0jet'] = '(n_jets==0 && n_bjets==0)'
-cats['vbf'] = '(0)'
-cats['twojets'] = '(n_jets>=2)'
-if options.channel == 'em': cats['vbf'] = '(n_jets==2 && mjj>300 && n_bjets==0)'
-if options.channel == 'et': cats['vbf'] = '(n_jets>=2 && mjj>300 && pt_tt>50)'
-if options.channel == 'mt': cats['vbf'] = '(n_jets>=2 && mjj>300 && pt_tt>50 && pt_2>40)'
-if options.channel == 'tt': cats['vbf'] = '(n_jets>=2 && pt_tt>100 && jdeta>2.5)'
-cats['boosted'] = '(!(%s) && !(%s))' % (cats['0jet'], cats['vbf'])
-if options.channel == 'em': cats['boosted'] = '(!(%s) && !(%s) && n_bjets==0)' % (cats['0jet'], cats['vbf'])
-
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] or options.analysis in ['cpprod']:
-  cats['ttbar'] = 'n_jets>0'  
-  if options.channel in ['mt','et']: 
-      cats['0jet'] = '(n_jets==0 && n_bjets==0 &&n_loose_bjets<2)'
-      cats['dijet']='n_jets>=2 && mjj>300 && n_bjets==0 &&n_loose_bjets<2'
-      cats['dijet_boosted']='%s && pt_tt>200' % cats['dijet']
-      cats['dijet_lowboost']='%s && pt_tt<200' % cats['dijet']
-      cats['dijet_loosemjj_boosted']='%s && mjj<500 && pt_tt>150' % cats['dijet']
-      cats['dijet_loosemjj_lowboost']='%s && mjj<500 && pt_tt<150' % cats['dijet']
-      cats['dijet_tightmjj_boosted']='%s && mjj>500 && pt_tt>150' % cats['dijet']
-      cats['dijet_tightmjj_lowboost']='%s && mjj>500 && pt_tt<150' % cats['dijet']
-      cats['boosted'] = '(!(%s) && !(%s) && n_bjets==0 &&n_loose_bjets<2)' % (cats['0jet'], cats['dijet'])
-      #cats['boosted'] = '(n_jets==1&& n_bjets==0)'
-  elif options.channel in ['em']:
-      cats['0jet'] = '(n_jets==0 && n_loose_bjets<2 && n_bjets==0)'
-      cats['dijet']='n_jets>=2 && mjj>300 && n_loose_bjets<2 && n_bjets==0 '
-      cats['dijet_boosted']='%s && pt_tt>200' % cats['dijet']
-      cats['dijet_lowboost']='%s && pt_tt<200' % cats['dijet']
-      cats['dijet_loosemjj_boosted']='%s && mjj<500 && pt_tt>150' % cats['dijet']
-      cats['dijet_loosemjj_lowboost']='%s && mjj<500 && pt_tt<150' % cats['dijet']
-      cats['dijet_tightmjj_boosted']='%s && mjj>500 && pt_tt>150' % cats['dijet']
-      cats['dijet_tightmjj_lowboost']='%s && mjj>500 && pt_tt<150' % cats['dijet']
-      cats['boosted'] = '(!(%s) && !(%s) &&n_loose_bjets<2 && n_bjets==0)' % (cats['0jet'], cats['dijet'])
-      #cats['boosted'] = '(n_jets==1&& n_bjets==0)'
-  else:    
-    cats['0jet'] = '(n_jets==0)'
-    cats['dijet']='n_jets>=2 && mjj>300'
-    cats['dijet_boosted']='%s && pt_tt>200' % cats['dijet']
-    cats['dijet_lowboost']='%s && pt_tt<200' % cats['dijet']
-    cats['dijet_loosemjj_boosted']='%s && mjj<500 && pt_tt>150' % cats['dijet']
-    cats['dijet_loosemjj_lowboost']='%s && mjj<500 && pt_tt<150' % cats['dijet']
-    cats['dijet_tightmjj_boosted']='%s && mjj>500 && pt_tt>150' % cats['dijet']
-    cats['dijet_tightmjj_lowboost']='%s && mjj>500 && pt_tt<150' % cats['dijet']
-
-    cats['boosted'] = '(!(%s) && !(%s))' % (cats['0jet'], cats['dijet'])
-    #cats['boosted'] = '(n_jets==1)'
-
-#cats['0jet'] = '(n_jets==0 && n_bjets==0)'
-cats['1jet'] = '(n_jets==1 && n_bjets==0)'
-cats['2jet'] = '(n_jets>=2 && n_bjets==0)'
-
-# SM ML categories
-
-if options.channel == 'tt':
-
-    mva_highMjj_ggh =      '(IC_highMjj_Oct05_max_index==0)'
-    mva_highMjj_jetFakes = '(IC_highMjj_Oct05_max_index==1)'
-    mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==2)'
-
-    mva_lowMjj_ggh =      '(IC_lowMjj_Oct05_max_index==0)'
-    mva_lowMjj_jetFakes = '(IC_lowMjj_Oct05_max_index==1)'
-    mva_lowMjj_misc =     '(IC_lowMjj_Oct05_max_index==2)'
-    mva_lowMjj_qqh =      '(IC_lowMjj_Oct05_max_index==2)'
-    mva_lowMjj_zttEmbed = '(IC_lowMjj_Oct05_max_index==3)'
-
-    # with simple mjj and pt_tt cuts like in Cutbased analysis
-    # cats['ggh_lowboost_highMjj'] =  '({} && n_jets>=2 && mjj>300 && mjj<500 && pt_tt<150)'.format(mva_highMjj_ggh)
-    # cats['ggh_boosted_highMjj'] =  '({} && n_jets>=2 && mjj>300 && mjj<500 && pt_tt>150)'.format(mva_highMjj_ggh)
-    # cats['qqh_lowboost_highMjj'] =  '({} && n_jets>=2 && mjj>500 && pt_tt<150)'.format(mva_highMjj_ggh)
-    # cats['qqh_boosted_highMjj'] =  '({} && n_jets>=2 && mjj>500 && pt_tt>150)'.format(mva_highMjj_ggh)
-    
-    # with binary ggH vs qqH mva
-    # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && IC_binary_Oct11_score>0.7)'.format(mva_highMjj_ggh)
-    # cats['ggh_lowboost_highMjj'] = '({} && n_jets>=2 && pt_tt<150 && mjj>300)'.format(mva_highMjj_ggh)
-    # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && pt_tt>150 && mjj>300)'.format(mva_highMjj_ggh)
-    # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
-    # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
-
-    # simplest mjj based qqH vs ggH
-    cats['ggh_highMjj'] =  '({} && n_jets>=2 && mjj>300 && mjj<500)'.format(mva_highMjj_ggh)
-    cats['qqh_highMjj'] =  '({} && n_jets>=2 && mjj>500)'.format(mva_highMjj_ggh)
-    cats['zttEmbed_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zttEmbed)
-    cats['jetFakes_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_jetFakes)
-
-    cats['ggh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_ggh)
-    cats['misc_lowMjj'] = '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_misc)
-    cats['qqh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qqh)
-    cats['zttEmbed_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zttEmbed)
-    cats['jetFakes_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_jetFakes)
-
-if options.channel in ['et','mt']:
-
-    mva_highMjj_ggh =      '(IC_highMjj_Oct05_max_index==0)'
-    mva_highMjj_jetFakes = '(IC_highMjj_Oct05_max_index==1)'
-    mva_highMjj_tt =       '(IC_highMjj_Oct05_max_index==2)'
-    if options.channel == 'et':
-        mva_highMjj_zll      = '(IC_highMjj_Oct05_max_index==3)'
-        mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==4)'
-    else:
-        mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==3)'
-
-    mva_lowMjj_ggh =      '(IC_lowMjj_Oct05_max_index==0)'
-    mva_lowMjj_jetFakes = '(IC_lowMjj_Oct05_max_index==1)'
-    mva_lowMjj_qqh =      '(IC_lowMjj_Oct05_max_index==2)'
-    mva_lowMjj_tt =       '(IC_lowMjj_Oct05_max_index==3)'
-    mva_lowMjj_zll =      '(IC_lowMjj_Oct05_max_index==4)'
-    mva_lowMjj_zttEmbed = '(IC_lowMjj_Oct05_max_index==5)'
-
-    # if options.channel == 'et':
-        # latest one with binary MVA
-        # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
-        # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.5)'.format(mva_highMjj_ggh)
-        # cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score<0.5)'.format(mva_highMjj_ggh)
-        # cats['qqh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score<0.5)'.format(mva_highMjj_ggh)
-
-    # else:
-        # latest ones with binary MVA
-        # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 &&IC_binary_Oct11_score>0.45)'.format(mva_highMjj_ggh)
-        # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.45)'.format(mva_highMjj_ggh)
-        # cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score<0.45)'.format(mva_highMjj_ggh)
-        # cats['qqh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score<0.45)'.format(mva_highMjj_ggh)
-
-    cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && mjj<500)'.format(mva_highMjj_ggh)
-    cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>500)'.format(mva_highMjj_ggh)
-    cats['tt_highMjj'] =   '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_tt)
-    if options.channel == 'et':
-        cats['zll_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zll)
-    cats['zttEmbed_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zttEmbed)
-    cats['jetFakes_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_jetFakes)
-
-    cats['jetFakes_lowMjj'] = '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_jetFakes)
-    cats['ggh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_ggh)
-    cats['qqh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qqh)
-    cats['tt_lowMjj'] =   '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_tt)
-    cats['zll_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zll)
-    cats['zttEmbed_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zttEmbed)
-
-if options.channel == 'em':
-
-    mva_highMjj_ggh =      '(IC_highMjj_Oct05_max_index==0)'
-    mva_highMjj_tt =       '(IC_highMjj_Oct05_max_index==1)'
-    mva_highMjj_zttEmbed = '(IC_highMjj_Oct05_max_index==2)'
-
-    mva_lowMjj_ggh =      '(IC_lowMjj_Oct05_max_index==0)'
-    mva_lowMjj_qcd =      '(IC_lowMjj_Oct05_max_index==1)'
-    mva_lowMjj_qqh =      '(IC_lowMjj_Oct05_max_index==2)'
-    mva_lowMjj_tt =       '(IC_lowMjj_Oct05_max_index==3)'
-    mva_lowMjj_zttEmbed = '(IC_lowMjj_Oct05_max_index==4)'
-
-    # latest one with binary MVA
-    # cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score>0.55)'.format(mva_highMjj_ggh)
-    # cats['ggh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score>0.55)'.format(mva_highMjj_ggh)
-    # cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt<150 && IC_binary_Oct11_score<0.55)'.format(mva_highMjj_ggh)
-    # cats['qqh_boosted_highMjj'] = '({} && n_jets>=2 && mjj>300 && pt_tt>150 && IC_binary_Oct11_score<0.55)'.format(mva_highMjj_ggh)
-
-    cats['ggh_highMjj'] = '({} && n_jets>=2 && mjj>300 && mjj<500)'.format(mva_highMjj_ggh)
-    cats['qqh_highMjj'] = '({} && n_jets>=2 && mjj>500)'.format(mva_highMjj_ggh)
-    cats['tt_highMjj'] =   '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_tt)
-    cats['zttEmbed_highMjj'] =  '({} && n_jets>=2 && mjj>300)'.format(mva_highMjj_zttEmbed)
-
-    cats['ggh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_ggh)
-    cats['qcd_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qcd)
-    cats['qqh_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_qqh)
-    cats['tt_lowMjj'] =   '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_tt)
-    cats['zttEmbed_lowMjj'] =  '({} && !(n_jets>=2 && mjj>300))'.format(mva_lowMjj_zttEmbed)
-
-# CP in decays categories
-if options.channel in ["mt","et"]:
-    cats["inclusive_mixed"]         = "(tau_decay_mode_2==1)"
-    cats["dijet_mixed"]             = "(n_jets>=2 && mjj>300)"
-    cats["0jet_mixed"]              = "({} && {})".format(cats["0jet"], cats["inclusive_mixed"])
-    cats["dijet_boosted_mixed"]     = "({} && pt_tt>100 && {})".format(cats["dijet_mixed"] ,cats["inclusive_mixed"])
-    cats["dijet_lowboost_mixed"]    = "({} && pt_tt<100 && {})".format(cats["dijet_mixed"] ,cats["inclusive_mixed"])
-    cats["boosted_mixed"]               = "(!{} && !({}) && {})".format(cats["0jet"], cats["dijet_mixed"], cats["inclusive_mixed"])
-
-    # MVA multiclass categories
-    cut_string = ""
-    if options.channel == "et":
-        cut_string = "IC_Apr02"
-    elif options.channel == "mt":
-        cut_string = "IC_Nov25_tauspinner"
-    mva_ggh      = '({}_max_index==0)'.format(cut_string)
-    mva_jetFakes = '({}_max_index==1)'.format(cut_string)
-    mva_zttEmbed = '({}_max_index==2)'.format(cut_string)
-
-    # apply b jet veto as done in training (to remove ttbar)
-    cats['higgs']     = '({} && n_bjets==0)'.format(mva_ggh)
-    cats['zttEmbed']  = '({} && n_bjets==0)'.format(mva_zttEmbed)
-    cats['jetFakes']  = '({} && n_bjets==0)'.format(mva_jetFakes)
-
-    cats["mva_mupi"]  = "(tau_decay_mode_2==0 && mva_dm_2==0)" # aco_angle_6 (ip)
-    cats["mva_murho"] = "(tau_decay_mode_2==1 && mva_dm_2==1)" # aco_angle_5 (planes) 6 (ip)
-    cats["mva_mua1"]  = "(tau_decay_mode_2>=10 && mva_dm_2==10)" # aco_angle_5 (planes)
-
-    cats["higgs_mvaMuPi"]  = "{} && {} && n_bjets==0".format(cats["higgs"],cats["mva_mupi"])
-    cats["higgs_mvaMuRho"] = "{} && {} && n_bjets==0".format(cats["higgs"],cats["mva_murho"])
-    cats["higgs_mvaMuA1"]  = "{} && {} && n_bjets==0".format(cats["higgs"],cats["mva_mua1"])
-
-    cats["inclusive_mupi"]  = "(tau_decay_mode_2==0)"
-    cats["inclusive_murho"] = "(tau_decay_mode_2==1)"
-
-if options.channel == 'tt':
-
-# start fresh here
-    cats["inclusive_rhorho"]       = "(tau_decay_mode_1==1 && tau_decay_mode_2==1)"
-    cats["inclusive_pirho"]       = "((tau_decay_mode_1==1 && tau_decay_mode_2==0 && ip_sig_2>=1.5) || (tau_decay_mode_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==1))"
-    cats["inclusive_a1rho"]     = "((tau_decay_mode_1==10 && tau_decay_mode_2==1) || (tau_decay_mode_1==1 && tau_decay_mode_2==10))"
-    cats["inclusive_a1pi"]     = "((tau_decay_mode_1==10 && tau_decay_mode_2==0 && ip_sig_2>=1.5) || (tau_decay_mode_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==10))"
-    cats["inclusive_a1a1"]     = "(tau_decay_mode_1==10 && tau_decay_mode_2==10)"
-    cats["inclusive_pipi"]     = "(tau_decay_mode_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==0 && ip_sig_2>=1.5)"
-
-
-    cats["inclusive_mvapirho_up"]       = "((tau_decay_mode_1==1 && mva_dm_1==1 && ip_sig_2_up>=1.5 && mva_dm_2==0) || (ip_sig_1_up>=1.5 && mva_dm_1==0 && tau_decay_mode_2==1 && mva_dm_2==1))"
-    cats["inclusive_mvaa1pi_up"]     = "((mva_dm_1==10 && ip_sig_2_up>=1.5 && mva_dm_2==0) || (ip_sig_1_up>=1.5 && mva_dm_1==0 && mva_dm_2==10))"
-    cats["inclusive_mvapipi_up"]     = "(mva_dm_1==0 && ip_sig_1_up>=1.5 && ip_sig_2_up>=1.5 && mva_dm_2==0)"
-    cats["inclusive_mvapi0a1_up"]     = "((mva_dm_1==0 && ip_sig_1_up>=1.5 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==0 && ip_sig_2_up>=1.5))"
-
-    cats["inclusive_mvapirho_down"]       = "((tau_decay_mode_1==1 && mva_dm_1==1 && ip_sig_2_down>=1.5 && mva_dm_2==0) || (ip_sig_1_down>=1.5 && mva_dm_1==0 && tau_decay_mode_2==1 && mva_dm_2==1))"
-    cats["inclusive_mvaa1pi_down"]     = "((mva_dm_1==10 && ip_sig_2_down>=1.5 && mva_dm_2==0) || (ip_sig_1_down>=1.5 && mva_dm_1==0 && mva_dm_2==10))"
-    cats["inclusive_mvapipi_down"]     = "(mva_dm_1==0 && ip_sig_1_down>=1.5 && ip_sig_2_down>=1.5 && mva_dm_2==0)"
-    cats["inclusive_mvapi0a1_down"]     = "((mva_dm_1==0 && ip_sig_1_down>=1.5 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==0 && ip_sig_2_down>=1.5))"
-
-    cats["inclusive_mvarhorho"]       = "(tau_decay_mode_1==1 && mva_dm_1==1 && tau_decay_mode_2==1 && mva_dm_2==1)"
-    cats["inclusive_mvapirho"]       = "((tau_decay_mode_1==1 && mva_dm_1==1 && ip_sig_2>=1.5 && mva_dm_2==0) || (ip_sig_1>=1.5 && mva_dm_1==0 && tau_decay_mode_2==1 && mva_dm_2==1))"
-    cats["inclusive_mvaa1rho"]     = "((mva_dm_1==10 && tau_decay_mode_2==1 && mva_dm_2==1) || (tau_decay_mode_1==1 && mva_dm_1==1 && mva_dm_2==10))"
-    cats["inclusive_mvaa1pi"]     = "((mva_dm_1==10 && ip_sig_2>=1.5 && mva_dm_2==0) || (ip_sig_1>=1.5 && mva_dm_1==0 && mva_dm_2==10))"
-    cats["inclusive_mvaa1a1"]     = "(mva_dm_1==10 && mva_dm_2==10)"
-    cats["inclusive_mvapipi"]     = "(mva_dm_1==0 && ip_sig_1>=1.5 && ip_sig_2>=1.5 && mva_dm_2==0)"
-    cats["inclusive_mvapi0a1"]     = "((mva_dm_1==0 && ip_sig_1>=1.5 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==0 && ip_sig_2>=1.5))"
-    cats["inclusive_mvarho0a1"]     = "(tau_decay_mode_1==1 && tau_decay_mode_2==1 && ((mva_dm_1==1&&mva_dm_2==2) || (mva_dm_1==2&&mva_dm_2==1) || (mva_dm_1==2&&mva_dm_2==2)))"
-    cats["inclusive_mvaa10a1"]     = "((mva_dm_1==10 && tau_decay_mode_2==1 && mva_dm_2==2) || (tau_decay_mode_1==1 && mva_dm_1==2 && mva_dm_2==10))"
-
-    #mva_ggh                = '(svfit_mass>100&&svfit_mass<150)'
-    #mva_jetFakes           = '(svfit_mass>150)'
-    #mva_zttEmbed           = '(svfit_mass<100)'
-
-    cut_string = "IC_01Jun2020"
-    mva_ggh      = '({}_max_index==0)'.format(cut_string)
-    mva_jetFakes = '({}_max_index==1)'.format(cut_string)
-    mva_zttEmbed = '({}_max_index==2)'.format(cut_string)
-
-
-    cats['higgs_mvarhorho']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvarhorho"])
-    cats['zttEmbed_mvarhorho']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvarhorho"])
-    cats['jetFakes_mvarhorho']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvarhorho"])
-    cats['higgs_mvapirho']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapirho"])
-    cats['zttEmbed_mvapirho']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvapirho"])
-    cats['jetFakes_mvapirho']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvapirho"])
-    cats['higgs_mvaa1rho']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1rho"])
-    cats['zttEmbed_mvaa1rho']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa1rho"])
-    cats['jetFakes_mvaa1rho']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa1rho"])
-    cats['higgs_mvaa1pi']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1pi"])
-    cats['zttEmbed_mvaa1pi']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa1pi"])
-    cats['jetFakes_mvaa1pi']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa1pi"])
-    cats['higgs_mvaa1a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1a1"])
-    cats['higgs_mvaa1a1_sync']      = '({} && {} && tau_decay_mode_1==10 && tau_decay_mode_2==10 && a1_flag)'.format(mva_ggh, cats["inclusive_mvaa1a1"])
-    cats['zttEmbed_mvaa1a1']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa1a1"])
-    cats['jetFakes_mvaa1a1']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa1a1"])
-    cats['higgs_mvapipi']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapipi"])
-    cats['zttEmbed_mvapipi']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvapipi"])
-    cats['jetFakes_mvapipi']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvapipi"])
-    cats['higgs_mvapi0a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapi0a1"])
-    cats['zttEmbed_mvapi0a1']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvapi0a1"])
-    cats['jetFakes_mvapi0a1']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvapi0a1"])
-    cats['higgs_mvarho0a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvarho0a1"])
-    cats['zttEmbed_mvarho0a1']   = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvarho0a1"])
-    cats['jetFakes_mvarho0a1']   = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvarho0a1"])
-
-
-    cats['higgs_mvaa10a1']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa10a1"])
-
-    cats['zttEmbed_mvaa10a1']      = '({} && {})'.format(mva_zttEmbed, cats["inclusive_mvaa10a1"])
-    cats['jetFakes_mvaa10a1']      = '({} && {})'.format(mva_jetFakes, cats["inclusive_mvaa10a1"])
-
-    cats['higgs']      = '({} && (mva_dm_1==0&&ip_sig_1<1.5)==0 && (mva_dm_2==0&&ip_sig_2<1.5)==0)'.format(mva_ggh)
-    cats['zttEmbed']   = '({} && (mva_dm_1==0&&ip_sig_1<1.5)==0 && (mva_dm_2==0&&ip_sig_2<1.5)==0)'.format(mva_zttEmbed)
-    cats['jetFakes']   = '({} && (mva_dm_1==0&&ip_sig_1<1.5)==0 && (mva_dm_2==0&&ip_sig_2<1.5)==0)'.format(mva_jetFakes)
-
-    cats['higgs_up']      = '({} && (mva_dm_1==0&&ip_sig_1_up<1.5)==0 && (mva_dm_2==0&&ip_sig_2_up<1.5)==0)'.format(mva_ggh)
-    cats['zttEmbed_up']   = '({} && (mva_dm_1==0&&ip_sig_1_up<1.5)==0 && (mva_dm_2==0&&ip_sig_2_up<1.5)==0)'.format(mva_zttEmbed)
-    cats['jetFakes_up']   = '({} && (mva_dm_1==0&&ip_sig_1_up<1.5)==0 && (mva_dm_2==0&&ip_sig_2_up<1.5)==0)'.format(mva_jetFakes)
-
-    cats['higgs_down']      = '({} && (mva_dm_1==0&&ip_sig_1_down<1.5)==0 && (mva_dm_2==0&&ip_sig_2_down<1.5)==0)'.format(mva_ggh)
-    cats['zttEmbed_down']   = '({} && (mva_dm_1==0&&ip_sig_1_down<1.5)==0 && (mva_dm_2==0&&ip_sig_2_down<1.5)==0)'.format(mva_zttEmbed)
-    cats['jetFakes_down']   = '({} && (mva_dm_1==0&&ip_sig_1_down<1.5)==0 && (mva_dm_2==0&&ip_sig_2_down<1.5)==0)'.format(mva_jetFakes)
-
-    cats['higgs_mvaother']    = '({} && !({}||{}||{}||{}||{}||{}||{}||{}||{}))'\
-            .format(mva_ggh, cats["higgs_mvarhorho"], cats["higgs_mvapirho"], cats["higgs_mvaa1rho"], cats["higgs_mvaa1pi"], cats["higgs_mvaa1a1"], cats["higgs_mvapipi"], cats["higgs_mvapi0a1"], cats["higgs_mvarho0a1"], cats["higgs_mvaa10a1"])
-
-    cats['higgs_mvapirho_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapirho_up"])
-    cats['higgs_mvaa1pi_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1pi_up"])
-    cats['higgs_mvapipi_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapipi_up"])
-    cats['higgs_mvapi0a1_up']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapi0a1_up"])
-
-    cats['higgs_mvapirho_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapirho_down"])
-    cats['higgs_mvaa1pi_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvaa1pi_down"])
-    cats['higgs_mvapipi_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapipi_down"])
-    cats['higgs_mvapi0a1_down']      = '({} && {})'.format(mva_ggh, cats["inclusive_mvapi0a1_down"])
-
-# 2016 sm analysis uses relaxed shape selections for W + QCD processes in et and mt channel, these are set here
-if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: # Remove the False when finished!!!!!
-    if options.channel in ['et','mt'] and options.cat in ['boosted','vbf','dijet','dijet_lowboost','dijet_boosted',
-            # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
-            # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
-            ]:
-        cats['qcd_shape'] = '('+cats['baseline_loose']+')*('+cats[options.cat]+')'
-    if options.cat in ['boosted','vbf','dijet','dijet_lowboost','dijet_boosted',
-            # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
-            # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
-            ]:
-        cats['w_shape'] = cats['qcd_shape']
-
-
-# Overwrite selection depending on whether tight or loose-mt categories is chosen - this can still be overwritten from command line using the --set_alias=sel:(...) option
-#if options.cat == 'nobtag_tightmt' or options.cat == 'btag_tightmt':
-#    if options.channel == 'mt' or options.channel == 'et': options.sel = '(mt_1<50)'
-#if options.cat == 'nobtag_loosemt' or options.cat == 'btag_loosemt':
-#    if options.channel == 'mt' or options.channel == 'et': options.sel = '(mt_1<70 && mt_1>50)'
-
-if options.era == "mssmsummer16":
-    if options.channel == "em": cats['baseline']+=" && trg_muonelectron"
-    if options.channel == "et" or options.channel == 'zee': cats['baseline']+=" && trg_singleelectron"
-    if options.channel in ['mt','zmm','mj']: cats['baseline']+=" && trg_singlemuon"
-    if options.channel == "tt": cats['baseline']+=" && trg_doubletau" 
-
-#Overwrite any category selections if the --set_alias option is used
-for i in options.set_alias:
-    cat_to_overwrite = i.split(':')[0]
-    cat_to_overwrite=cat_to_overwrite.replace("\"","")
-    overwrite_with = i.split(':')[1]
-    overwrite_with=overwrite_with.replace("\"","")
-    start_index=overwrite_with.find("{")
-    end_index=overwrite_with.find("}")
-    while start_index >0:
-        replace_with=overwrite_with[start_index:end_index+1]
-        replace_with=replace_with.replace("{","")
-        replace_with=replace_with.replace("}","")
-        replace_string = cats[replace_with]
-        overwrite_with=overwrite_with[0:start_index] + replace_string  + overwrite_with[end_index+1:]
-        start_index=overwrite_with.find("{")
-        end_index=overwrite_with.find("}")
-
-    print 'Overwriting alias: \"'+cat_to_overwrite+'\" with selection: \"'+overwrite_with+'\"'
-    if cat_to_overwrite == 'sel':
-        options.sel = overwrite_with
-    else:
-        cats[cat_to_overwrite] = overwrite_with
-if options.v2p5 == True:
-   for key in cats:
-      cats[key] = cats[key].replace('deepTauVsJets','deepTauVsJetsV2p5').replace('deepTauVsEle','deepTauVsEleV2p5').replace('deepTauVsMu','deepTauVsMuV2p5').replace('iso_2','iso_2_V2p5')
-
-if options.do_aiso:
-  # overwrite electron/muon isolation cut in baseline
-  cats['baseline'] = cats['baseline'].replace('iso_1<0.15','iso_1>0.15&&iso_1<0.5')
-
-# Additional selections to seperate MC samples by gen flags
-z_sels = {}
-if options.channel == 'et':
-    z_sels['ztt_sel'] = '(gen_match_2==5)'
-    z_sels['zl_sel'] = '(gen_match_2<5)'
-    z_sels['zj_sel'] = '(gen_match_2==6)'
-elif options.channel in ['mt','mj']:
-    z_sels['ztt_sel'] = '(gen_match_2==5)'
-    z_sels['zl_sel'] = '(gen_match_2<5)'
-    z_sels['zj_sel'] = '(gen_match_2==6)'
-elif options.channel in ['mj']:
-    z_sels['ztt_sel'] = '(0)'
-    z_sels['zl_sel'] = '(0)'
-    z_sels['zj_sel'] = '(1)'
-elif options.channel == 'tt':
-    z_sels['ztt_sel'] = '(gen_match_1==5&&gen_match_2==5)'
-    z_sels['zl_sel'] = '(gen_match_2<6&&gen_match_1<6&&!(gen_match_1==5&&gen_match_2==5))'
-    z_sels['zj_sel'] = '(gen_match_2==6||gen_match_1==6)'
-elif options.channel == 'em':
-    z_sels['ztt_sel'] = '(gen_match_1>2 && gen_match_2>3)'
-    z_sels['zll_sel'] = '(gen_match_1<3 || gen_match_2<4)'
-elif options.channel == 'zee' or  options.channel == 'zmm':
-    z_sels['ztt_sel'] = '(gen_match_1>2&&gen_match_1<6 && gen_match_2>2&&gen_match_2<6)'
-    if options.channel == 'zmm': z_sels['zl_sel'] = '(gen_match_1==2&&gen_match_2==2)'
-    else: z_sels['zl_sel'] = '(gen_match_1==1&&gen_match_2==1)'
-    z_sels['zj_sel'] = '(!('+z_sels['zl_sel']+') && !('+z_sels['ztt_sel']+'))'
-
-top_sels = {}
-vv_sels = {}
-top_sels['ttt_sel'] = z_sels['ztt_sel']
-top_sels['ttj_sel'] = '!('+z_sels['ztt_sel']+')'
-vv_sels['vvt_sel'] = z_sels['ztt_sel']
-vv_sels['vvj_sel'] = '!('+z_sels['ztt_sel']+')'
-
-if options.channel == 'zee' or  options.channel == 'zmm':
-  top_sels['ttt_sel'] = z_sels['zl_sel']
-  top_sels['ttj_sel'] = '!('+z_sels['zl_sel']+')'
-  vv_sels['vvt_sel'] = z_sels['zl_sel']
-  vv_sels['vvj_sel'] = '!('+z_sels['zl_sel']+')'
-
-
-top_sels_embed = {}
-if options.channel == 'mt': top_sels_embed['ttt_sel'] = '((gen_match_1 == 4) && (gen_match_2 == 5))'
-if options.channel == 'et': top_sels_embed['ttt_sel'] = '((gen_match_1 == 3) && (gen_match_2 == 5))'
-if options.channel == 'tt': top_sels_embed['ttt_sel'] = '((gen_match_1 == 5) && (gen_match_2 == 5))'
-if options.channel == 'em': top_sels_embed['ttt_sel'] = '((gen_match_1 == 3) && (gen_match_2 == 4))'
-if options.channel in ['zmm']: top_sels_embed['ttt_sel'] = '((gen_match_1 == 2) && (gen_match_2 == 2))'
-if options.channel in ['zee']: top_sels_embed['ttt_sel'] = '((gen_match_1 == 1) && (gen_match_2 == 1))'
-
-top_sels_embed['vvt_sel'] = top_sels_embed['ttt_sel']
-
-if options.channel in ['et','mt','mj']:
-  vv_sels['vvt_sel'] = '(gen_match_2<6)'
-  vv_sels['vvj_sel'] = '(gen_match_2==6)'
-  top_sels['ttt_sel'] = '(gen_match_2<6)' 
-  top_sels['ttj_sel'] = '(gen_match_2==6)'
-elif options.channel == 'tt':
-  vv_sels['vvt_sel'] = '(gen_match_1<6 && gen_match_2<6)'
-  vv_sels['vvj_sel'] = '(!(gen_match_1<6 && gen_match_2<6))'
-  top_sels['ttt_sel'] = '(gen_match_1<6 && gen_match_2<6)' 
-  top_sels['ttj_sel'] = '(!(gen_match_1<6 && gen_match_2<6))'
-if options.channel in ['mj']:
-  vv_sels['vvt_sel'] = '(0)'
-  vv_sels['vvj_sel'] = '(1)'
-  top_sels['ttt_sel'] = '(0)' 
-  top_sels['ttj_sel'] = '(1)'
-  
-if options.era in ["smsummer16"]:
-  if options.channel in ['mt','et']:
-    z_sels['ztt_sel'] = '(gen_match_2==5)'
-    z_sels['zl_sel'] = '(gen_match_2!=6&&gen_match_2!=5)'
-    z_sels['zj_sel'] = '(gen_match_2==6)'  
-    vv_sels['vvt_sel'] = '(gen_match_2==5)'
-    vv_sels['vvj_sel'] = '(gen_match_2!=5)'
-    top_sels['ttt_sel'] = '(gen_match_2==5)' 
-    top_sels['ttj_sel'] = '(gen_match_2!=5)'    
-  elif options.channel == 'tt':
-    z_sels['ztt_sel'] = '(gen_match_1==5&&gen_match_2==5)'
-    z_sels['zl_sel'] = '(!(gen_match_1==6 || gen_match_2==6) && !(gen_match_1==5&&gen_match_2==5))'
-    z_sels['zj_sel'] = '(gen_match_1==6 || gen_match_2==6)'  
-    vv_sels['vvt_sel'] = '(gen_match_1==5 && gen_match_2==5)'
-    vv_sels['vvj_sel'] = '(!(gen_match_1==5 && gen_match_2==5))'
-    top_sels['ttt_sel'] = '(gen_match_1==5 && gen_match_2==5)' 
-    top_sels['ttj_sel'] = '(!(gen_match_1==5 && gen_match_2==5))'
-
-if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','cpsummer17','UL_17','tauid2017','cp18','UL_18','mvadm2016','22']:
-  # define these selections to make them more compatible with the fake-factor method and embedded samples
-  if options.channel =='em':
-    z_sels['zll_sel'] = '(!(gen_match_2==4 && gen_match_1==3))'
-    z_sels['ztt_sel'] = '(gen_match_2==4 && gen_match_1==3)'
-    top_sels['ttt_sel'] = '(gen_match_2==4 && gen_match_1==3)'
-    top_sels['ttj_sel'] = '!(gen_match_2==4 && gen_match_1==3)'
-    vv_sels['vvt_sel'] = '(gen_match_2==4 && gen_match_1==3)'
-    vv_sels['vvj_sel'] = '!(gen_match_2==4 && gen_match_1==3)'
-  if options.channel =='mt':
-    z_sels['ztt_sel'] = '(gen_match_2==5 && gen_match_1==4)'
-  if options.channel =='et':
-    z_sels['ztt_sel'] = '(gen_match_2==5 && gen_match_1==3)'
-  if options.channel in ['mt','et']:
-    z_sels['zj_sel'] = '(gen_match_2==6)'
-    z_sels['zl_sel'] = '(gen_match_2!=6&&!(%s))' % z_sels['ztt_sel']
-    vv_sels['vvt_sel'] = '(gen_match_2<6)'
-    vv_sels['vvj_sel'] = '(gen_match_2==6)'
-    top_sels['ttt_sel'] = '(gen_match_2<6)'
-    top_sels['ttj_sel'] = '(gen_match_2==6)'
-  elif options.channel == 'tt':
-    z_sels['ztt_sel'] = '(gen_match_1==5&&gen_match_2==5)'
-    z_sels['zl_sel'] = '(!(gen_match_1==6 || gen_match_2==6) && !(gen_match_1==5&&gen_match_2==5))'
-    z_sels['zj_sel'] = '(gen_match_1==6 || gen_match_2==6)'
-    vv_sels['vvt_sel'] = '(!(gen_match_1==6 || gen_match_2==6))'
-    vv_sels['vvj_sel'] = '(gen_match_1==6 || gen_match_2==6)'
-    top_sels['ttt_sel'] = '(!(gen_match_1==6 || gen_match_2==6))'
-    top_sels['ttj_sel'] = '(gen_match_1==6 || gen_match_2==6)'
-    if options.method==0 and True in ['baseline_aisotau1' in x for x in options.set_alias]:
-      top_sels['ttj_sel'] = '(gen_match_1==6)'
-      top_sels['ttt_sel'] = '(gen_match_1!=6)'
-      vv_sels['vvj_sel'] = '(gen_match_1==6)'
-      vv_sels['vvt_sel'] = '(gen_match_1!=6)'
-      z_sels['zj_sel'] = '(gen_match_1==6)' 
-      z_sels['zl_sel'] = '(!(gen_match_1==6) && !(gen_match_1==5&&gen_match_2==5))'
-    if options.method==0 and True in ['baseline_aisotau2' in x for x in options.set_alias]:
-      top_sels['ttj_sel'] = '(gen_match_2==6)'
-      top_sels['ttt_sel'] = '(gen_match_2!=6)'
-      vv_sels['vvj_sel'] = '(gen_match_2==6)'
-      vv_sels['vvt_sel'] = '(gen_match_2!=6)'
-      z_sels['zj_sel'] = '(gen_match_2==6)' 
-      z_sels['zl_sel'] = '(!(gen_match_2==6) && !(gen_match_1==5&&gen_match_2==5))'
-       
-
-extra_top_sel = '1' 
-if options.embedding:
-    if options.channel == 'mt': extra_top_sel = '!((gen_match_1 == 4) && (gen_match_2 == 5))'
-    if options.channel == 'et': extra_top_sel = '!((gen_match_1 == 3) && (gen_match_2 == 5))'
-    if options.channel == 'tt': extra_top_sel = '!((gen_match_1 == 5) && (gen_match_2 == 5))'
-    if options.channel == 'em': extra_top_sel = '!((gen_match_1 == 3) && (gen_match_2 == 4))'
-    if options.channel =='zee': extra_top_sel = '!((gen_match_1 == 1) && (gen_match_2 == 1))'
-    top_sels["ttt_ztt_sel"] = top_sels["ttt_sel"]+'&&!'+extra_top_sel
-    vv_sels["vvt_ztt_sel"] = vv_sels["vvt_sel"]+'&&!'+extra_top_sel
-    for sel in top_sels: 
-      if "ztt_sel" not in sel: top_sels[sel]+='&&'+extra_top_sel
-    for sel in vv_sels: 
-      if "ztt_sel" not in sel: vv_sels[sel]+='&&'+extra_top_sel
-    top_sels_embed["ttt_ztt_sel"] = top_sels["ttt_ztt_sel"]
-    top_sels_embed["vvt_ztt_sel"] = vv_sels["vvt_ztt_sel"]
-    
-# ------------------------------------------------------------    
-# Add data sample names
-if options.channel == 'mt': 
-    data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD']
-if options.channel == 'em': 
-    data_samples = ['MuonEGB','MuonEGC','MuonEGD']
-if options.channel == 'et': 
-    data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD']
-if options.channel == 'tt': 
-    data_samples = ['TauB','TauC','TauD']
-    
-# Add MC sample names   
-ztt_samples = []
-vv_samples = []
-wgam_samples = []
-top_samples = []
-wjets_samples = []
-ewkz_samples = []
-gghww_samples = []
-qqhww_samples = []
-top_samples = []
-# ------------------------------------------------------------ 
-
-if options.era in ["mssmsummer16","smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','mvadm2016']:
-    # Add data sample names
-    if options.channel in ['mt','zmm','mj']:
-        data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF','SingleMuonG','SingleMuonHv2','SingleMuonHv3']
-        if options.era == "legacy16": 
-            data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF','SingleMuonG','SingleMuonH']
-            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauB','TauC','TauD','TauE','TauF','TauG','TauH']
-        if options.era in ['UL_16_preVFP']:
-            data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF']
-            #if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauB','TauC','TauD','TauE','TauF']
-        if options.era in ['UL_16_postVFP']:
-            data_samples = ['SingleMuonF','SingleMuonG','SingleMuonH']
-            #if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauF','TauG','TauH']
-            
-    if options.channel == 'em':
-        data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF','MuonEGG','MuonEGHv2','MuonEGHv3']
-        if options.era == "legacy16": data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF','MuonEGG','MuonEGH']
-        if options.era in ["UL_16_preVFP"]: data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF']
-        if  options.era in ["UL_16_postVFP"]: data_samples = ['MuonEGF','MuonEGG','MuonEGH']
-    
-    if options.channel == 'et' or options.channel == 'zee':
-        data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF','SingleElectronG','SingleElectronHv2','SingleElectronHv3']
-        if options.era == "legacy16": 
-            data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF','SingleElectronG','SingleElectronH']
-            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauB','TauC','TauD','TauE','TauF','TauG','TauH']
-        if options.era in ["UL_16_preVFP"]: 
-            data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
-            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauB','TauC','TauD','TauE','TauF']
-        if options.era in ["UL_16_postVFP"]: 
-            data_samples = ['SingleElectronF','SingleElectronG','SingleElectronH']
-            if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauF','TauG','TauH']
-            
-    if options.channel == 'tt':
-        data_samples = ['TauB','TauC','TauD','TauE','TauF','TauG','TauHv2','TauHv3']
-        if options.era in ["legacy16"]: data_samples = ['TauB','TauC','TauD','TauE','TauF','TauG','TauH']
-        if options.era in ['UL_16_preVFP']: data_samples = ['TauB','TauC','TauD','TauE','TauF']
-        if options.era in ['UL_16_postVFP']: data_samples = ['TauF','TauG','TauH']
-
-    # MC Samples
-    if options.era in ["legacy16"]: 
-        ztt_samples = ['DYJetsToLL-LO-ext1','DYJetsToLL-LO-ext2','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO']
-        vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','WWTo1L1Nu2Q','WZJToLLLNu','VVTo2L2Nu','VVTo2L2Nu-ext1','ZZTo2L2Q','ZZTo4L-amcat','WZTo2L2Q','WZTo1L3Nu','WZTo1L1Nu2Q']
-        wgam_samples = ['WGToLNuG-ext1','WGToLNuG-ext2','WGToLNuG-ext3']
-        wjets_samples = ['WJetsToLNu-LO', 'WJetsToLNu-LO-ext','W1JetsToLNu-LO','W2JetsToLNu-LO','W2JetsToLNu-LO-ext','W3JetsToLNu-LO','W3JetsToLNu-LO-ext','W4JetsToLNu-LO','W4JetsToLNu-LO-ext1','W4JetsToLNu-LO-ext2']
-        if options.channel == 'mt': embed_samples = ['EmbeddingMuTauB','EmbeddingMuTauC','EmbeddingMuTauD','EmbeddingMuTauE','EmbeddingMuTauF','EmbeddingMuTauG','EmbeddingMuTauH']
-        if options.channel == 'et': embed_samples = ['EmbeddingElTauB','EmbeddingElTauC','EmbeddingElTauD','EmbeddingElTauE','EmbeddingElTauF','EmbeddingElTauG','EmbeddingElTauH']
-        if options.channel == 'em': embed_samples = ['EmbeddingElMuB','EmbeddingElMuC','EmbeddingElMuD','EmbeddingElMuE','EmbeddingElMuF','EmbeddingElMuG','EmbeddingElMuH']
-        if options.channel == 'tt': embed_samples = ['EmbeddingTauTauB','EmbeddingTauTauC','EmbeddingTauTauD','EmbeddingTauTauE','EmbeddingTauTauF','EmbeddingTauTauG','EmbeddingTauTauH']
-        if options.channel == 'zmm': embed_samples = ['EmbeddingMuMuB','EmbeddingMuMuC','EmbeddingMuMuD','EmbeddingMuMuE','EmbeddingMuMuF','EmbeddingMuMuG','EmbeddingMuMuH']
-        if options.channel == 'zee': embed_samples = ['EmbeddingElElB','EmbeddingElElC','EmbeddingElElD','EmbeddingElElE','EmbeddingElElF','EmbeddingElElG','EmbeddingElElH']
-
-    if not options.era in ["UL_16_preVFP", "UL_16_postVFP"]:
-	if options.analysis in ['mssmrun2','vlq']: 
-		top_samples = ['TT']
-	else:
-		top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-
-
-    if options.era in ["UL_16_preVFP"]:
-        if (options.DY_NLO==False):
-           ztt_samples = ['DYJetsToLL-LO','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
-        else:
-           ztt_samples = ['DYJetstoLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
-        vv_samples = ['WZTo1L1Nu2Q','WZTo3LNu','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','T-tW', 'Tbar-tW','Tbar-t','T-t']
-        wgam_samples = ['WGToLNuG']
-        wjets_samples = ['WJetsToLNu-LO' ,'W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
-        gghww_samples = []
-        qqhww_samples = []
-	ewkz_samples = ['EWKZ2Jets_ZToLL']
-	top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-
-    if options.era in ["UL_16_postVFP"]:
-        if (options.DY_NLO==False):
-           ztt_samples = ['DYJetsToLL-LO','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
-        else:
-           ztt_samples = ['DYJetstoLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
-        vv_samples = ['WZTo3LNu','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','T-tW', 'Tbar-tW','Tbar-t','T-t']
-        wgam_samples = ['WGToLNuG']
-        wjets_samples = ['WJetsToLNu-LO' ,'W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
-        gghww_samples = []
-        qqhww_samples = []
-	ewkz_samples = ['EWKZ2Jets_ZToLL']
-	top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-    
-# ------------------------------------------------------------------------
-# Seems Redundant but ok I will ask    
-    
-if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'tauid2016','mvadm2016']:
-    vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WWTo1L1Nu2Q','WZJToLLLNu','VVTo2L2Nu','VVTo2L2Nu-ext1','ZZTo2L2Q','ZZTo4L-amcat','WZTo2L2Q','WZTo1L3Nu','WZTo1L1Nu2Q']
-    wjets_samples = ['WJetsToLNu-LO', 'WJetsToLNu-LO-ext','W1JetsToLNu-LO','W2JetsToLNu-LO','W2JetsToLNu-LO-ext','W3JetsToLNu-LO','W3JetsToLNu-LO-ext','W4JetsToLNu-LO','W4JetsToLNu-LO-ext1','W4JetsToLNu-LO-ext2', 'EWKWMinus2Jets_WToLNu','EWKWMinus2Jets_WToLNu-ext1','EWKWMinus2Jets_WToLNu-ext2','EWKWPlus2Jets_WToLNu','EWKWPlus2Jets_WToLNu-ext1','EWKWPlus2Jets_WToLNu-ext2']
-    ewkz_samples = ['EWKZ2Jets_ZToLL','EWKZ2Jets_ZToLL-ext']
-    gghww_samples = ['GluGluHToWWTo2L2Nu_M-125']
-    qqhww_samples = ['VBFHToWWTo2L2Nu_M-125']
-           
-    if options.era == "legacy16":
-        vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WWTo1L1Nu2Q','WZJToLLLNu','VVTo2L2Nu','VVTo2L2Nu-ext1','ZZTo2L2Q','ZZTo4L-amcat','WZTo2L2Q','WZTo1L3Nu','WZTo1L1Nu2Q']
-        ewkz_samples = ['EWKZ2Jets_ZToLL','EWKZ2Jets_ZToLL-ext1','EWKZ2Jets_ZToLL-ext2']
-        wgam_samples = ['WGToLNuG-ext1','WGToLNuG-ext1','WGToLNuG-ext2','WGToLNuG-ext3','WGstarToLNuEE','WGstarToLNuMuMu']
-    
-# ------------------------------------------------------------------------
-# 2017
- 
-if options.era in ['cpsummer17','tauid2017']:
-
-   # ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO','DYJetsToLL_M-10-50-LO-ext1']
-    if options.channel == "tt": # remove 'DYJetsToLL_M-10-50-LO (zero entries)
-        ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO-ext1']
-    else:     ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO-ext1','DYJetsToLL_M-10-50-LO']
-    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-    vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WWToLNuQQ','WZTo2L2Q','WZTo1L1Nu2Q','WZTo1L3Nu','WZTo3LNu', 'WWTo2L2Nu', 'ZZTo2L2Nu', 'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L']
-    if options.analysis in ['mssmrun2','vlq']:
-      vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WZTo2L2Q','WZTo3LNu', 'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L','VVTo2L2Nu']
-
-
-    wjets_samples = ['WJetsToLNu-LO','WJetsToLNu-LO-ext','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets','EWKWPlus2Jets']
-    #wjets_samples = ['WJetsToLNu-LO','WJetsToLNu-LO-ext','EWKWMinus2Jets','EWKWPlus2Jets']
-    wgam_samples = ['WGToLNuG']
-    ewkz_samples = ['EWKZ2Jets']
-    gghww_samples = ['GluGluHToWWTo2L2Nu_M-125']
-    qqhww_samples = ['VBFHToWWTo2L2Nu_M-125']   
- 
-    if options.channel in ['mt','zmm','mj']: 
-        data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF']
-        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt': data_samples += ['TauB','TauC','TauD','TauE','TauF']
-
-
-    if options.channel == 'em': 
-        data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF']
-    if options.channel == 'et' or options.channel == 'zee': 
-        data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
-        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauB','TauC','TauD','TauE','TauF']
-    if options.channel == 'tt': 
-        data_samples = ['TauB','TauC','TauD','TauE','TauF']
-
-
-    if options.channel == 'mt': embed_samples = ['EmbeddingMuTauB','EmbeddingMuTauC','EmbeddingMuTauD','EmbeddingMuTauE','EmbeddingMuTauF']
-    if options.channel == 'et': embed_samples = ['EmbeddingElTauB','EmbeddingElTauC','EmbeddingElTauD','EmbeddingElTauE','EmbeddingElTauF']
-    if options.channel == 'em': embed_samples = ['EmbeddingElMuB','EmbeddingElMuC','EmbeddingElMuD','EmbeddingElMuE','EmbeddingElMuF']
-    if options.channel == 'tt': embed_samples = ['EmbeddingTauTauB','EmbeddingTauTauC','EmbeddingTauTauD','EmbeddingTauTauE','EmbeddingTauTauF']
-    if options.channel == 'zmm': embed_samples = ['EmbeddingMuMuB','EmbeddingMuMuC','EmbeddingMuMuD','EmbeddingMuMuE','EmbeddingMuMuF']
-    if options.channel == 'zee': embed_samples = ['EmbeddingElElB','EmbeddingElElC','EmbeddingElElD','EmbeddingElElE','EmbeddingElElF']
-
-
-if options.era in ['UL_17']:
-    if (options.DY_NLO==False):
-        ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
-    else:
-        ztt_samples = ['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
-
-    # Question: Is this need for UL_17?
-    #if options.channel == "tt": # remove 'DYJetsToLL_M-10-50-LO (zero entries)
-        #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY1JetsToLL-LO-ext','DY2JetsToLL-LO','DY2JetsToLL-LO-ext','DY3JetsToLL-LO','DY3JetsToLL-LO-ext','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO-ext1']
-    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-    vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L']
-    #vv_samples = ['T-tW', 'Tbar-tW','T-t','WZTo3LNu','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L']
-    # if options.analysis in ['mssmrun2','vlq']:
-      # vv_samples = ['T-tW', 'Tbar-tW','Tbar-t','T-t','WZTo2L2Q','WZTo3LNu', 'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L','VVTo2L2Nu']
-    
-    wjets_samples = ['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
-    wgam_samples = ['WGToLNuG']
-    ewkz_samples = ['EWKZ2Jets_ZToLL']
-    gghww_samples = ['']
-    qqhww_samples = ['']   
- 
-    if options.channel in ['mt','zmm','mj']: 
-        data_samples = ['SingleMuonB','SingleMuonC','SingleMuonD','SingleMuonE','SingleMuonF']
-        #if options.analysis in ['mssmrun2','vlq'] and options.channel == 'mt' and options.singletau: data_samples += ['TauB','TauC','TauD','TauE','TauF']
-
-    if options.channel == 'em': 
-        data_samples = ['MuonEGB','MuonEGC','MuonEGD','MuonEGE','MuonEGF']
-    if options.channel == 'et' or options.channel == 'zee': 
-        data_samples = ['SingleElectronB','SingleElectronC','SingleElectronD','SingleElectronE','SingleElectronF']
-        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et' and options.singletau: data_samples += ['TauB','TauC','TauD','TauE','TauF']
-    if options.channel == 'tt': 
-        data_samples = ['TauB','TauC','TauD','TauE','TauF']
-
-# ------------------------------------------------------------------------
-# 2018
-
-if options.era in ['cp18']:
-    ztt_samples = ['DYJetsToLL-LO','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10-50-LO']
-    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-    vv_samples = [
-            'T-tW-ext1', 'Tbar-tW-ext1','Tbar-t','WWTo2L2Nu','T-t',
-            'WWToLNuQQ','WZTo1L3Nu','WZTo3LNu','WZTo3LNu-ext1','WZTo2L2Q',
-            'ZZTo2L2Nu-ext1','ZZTo2L2Nu-ext2','ZZTo2L2Q','ZZTo4L-ext','ZZTo4L'
-            ]
-    if options.analysis in ['mssmrun2','vlq']:
-      vv_samples = [
-              'T-tW-ext1', 'Tbar-tW-ext1','Tbar-t','T-t',
-              'WZTo3LNu','WZTo3LNu-ext1','WZTo2L2Q',
-              'ZZTo2L2Q','ZZTo4L-ext','ZZTo4L', 'VVTo2L2Nu',
-              ]
-
-    wjets_samples = ['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets','EWKWPlus2Jets']
-    wgam_samples = ['WGToLNuG']
-    ewkz_samples = ['EWKZ2Jets']
-    gghww_samples = []
-    qqhww_samples = []
-    gghww_samples = ['GluGluHToWWTo2L2Nu_M-125']
-    qqhww_samples = ['VBFHToWWTo2L2Nu_M-125']   
- 
-    if options.channel in ['mt','zmm','mj']:
-        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
-        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt' and options.singletau == True : data_samples += ['TauA','TauB','TauC','TauD']
-    if options.channel == 'em':
-        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
-    if options.channel == 'et' or options.channel == 'zee':
-        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
-        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et' and options.singletau == True: data_samples += ['TauA','TauB','TauC','TauD']
-    if options.channel == 'tt':
-        data_samples = ['TauA','TauB','TauC','TauD']
-
-    if options.channel == 'mt':  embed_samples = ['EmbeddingMuTauA','EmbeddingMuTauB','EmbeddingMuTauC','EmbeddingMuTauD']
-    if options.channel == 'et':  embed_samples = ['EmbeddingElTauA','EmbeddingElTauB','EmbeddingElTauC','EmbeddingElTauD']
-    if options.channel == 'em':  embed_samples = ['EmbeddingElMuA','EmbeddingElMuB','EmbeddingElMuC','EmbeddingElMuD']
-    if options.channel == 'tt':  embed_samples = ['EmbeddingTauTauA','EmbeddingTauTauB','EmbeddingTauTauC','EmbeddingTauTauD']
-    if options.channel == 'zmm': embed_samples = ['EmbeddingMuMuA','EmbeddingMuMuB','EmbeddingMuMuC','EmbeddingMuMuD']
-    if options.channel == 'zee': embed_samples = ['EmbeddingElElA','EmbeddingElElB','EmbeddingElElC','EmbeddingElElD']
-
-
-if options.era in ['UL_18']:
-    if (options.DY_NLO==False):
-        ztt_samples = ['DYJetsToLL-LO','DYJetsToLL-LO-ext1','DY1JetsToLL-LO','DY2JetsToLL-LO','DY3JetsToLL-LO','DY4JetsToLL-LO','DYJetsToLL_M-10to50-LO']
-        #ztt_samples = ['DYJetsToLL-LO']
-    else:
-        ztt_samples = ['DYJetsToLL-NLO','DYJetsToLL_0J-NLO','DYJetsToLL_1J-NLO','DYJetsToLL_2J-NLO']
-
-    #ztt_samples = ['DYJetsToLL-NLO']
-    #ztt_samples = ['DYJetsToLL-LO','DYJetsToLL_M-10to50-LO']
-    top_samples = ['TTTo2L2Nu', 'TTToHadronic', 'TTToSemiLeptonic']
-    vv_samples = ['WZTo1L1Nu2Q','WZTo3LNu','WWTo1L1Nu2Q','WWTo2L2Nu','ZZTo2L2Nu','ZZTo4L','Tbar-t','Tbar-tW','T-t','T-tW']
-    # if options.analysis in ['mssmrun2','vlq']:
-        # vv_samples = [
-              # 'T-tW', 'Tbar-tW','Tbar-t','T-t',
-              # 'WZTo3LNu','ZZTo4L']
-    wjets_samples = ['WJetsToLNu-LO','W1JetsToLNu-LO','W2JetsToLNu-LO','W3JetsToLNu-LO','W4JetsToLNu-LO','EWKWMinus2Jets_WToLNu','EWKWPlus2Jets_WToLNu']
-    wgam_samples = ['WGToLNuG']
-    ewkz_samples = ['EWKZ2Jets_ZToLL']
-    gghww_samples = ['']
-    qqhww_samples = ['']   
- 
-    if options.channel in ['mt','zmm','mj']:
-        data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
-        #if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauA','TauB','TauC','TauD']
-    if options.channel == 'em':
-        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
-    if options.channel == 'et' or options.channel == 'zee':
-        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
-        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauA','TauB','TauC','TauD']
-    if options.channel == 'tt':
-        data_samples = ['TauA','TauB','TauC','TauD']
-
-if options.era in ['22']:
-
-    ztt_samples = ['DYJetsToLL-LO_summer_preEE','DYJetsToLL-LO_postEE']
-    top_samples = ['TTTo2L2Nu_preEE','TTto4Q_preEE','TTtoLNu2Q_preEE','TTTo2L2Nu_postEE','TTto4Q_postEE','TTtoLNu2Q_postEE']
-    vv_samples = ['WW_preEE','WZ_preEE','ZZ_preEE','TWminusto2L2Nu_preEE',
-    'TWminustoLNu2Q_preEE','TbarWplusto2L2Nu_preEE',
-    'TbarWplustoLNu2Q_preEE','TbarBQ_t-channel_4FS_preEE','TBbarQ_t-channel_4FS_preEE','WW_postEE','WZ_postEE','ZZ_postEE','TWminusto2L2Nu_postEE',
-    'TWminustoLNu2Q_postEE','TbarWplusto2L2Nu_postEE',
-    'TbarWplustoLNu2Q_postEE','TbarBQ_t-channel_4FS_postEE','TBbarQ_t-channel_4FS_postEE']
-    wjets_samples = ['W3JetsToLNu-LO_preEE',
-    'WJetsToLNu-LO_preEE','W1JetsToLNu-LO_postEE','W2JetsToLNu-LO_postEE',
-    'WJetsToLNu-LO_postEE']
-    wgam_samples = []
-    ewkz_samples = []
-    gghww_samples = []
-    qqhww_samples = []   
- 
-    if options.channel in ['mt','zmm','mj']:
-      data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']
-        # data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE','MuonE_rereco_postEE','MuonF_postEE','MuonG_postEE']
-        # if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauB_rereco_preEE','TauC_rereco_preEE','TauD_rereco_preEE']
-    if options.channel == 'em':
-        data_samples = ['MuonEGA','MuonEGB','MuonEGC','MuonEGD']
-    if options.channel == 'et' or options.channel == 'zee':
-        data_samples = ['EGammaA','EGammaB','EGammaC','EGammaD']
-        if options.analysis in ['mssmrun2','vlq'] and options.channel == 'et': data_samples += ['TauA','TauB','TauC','TauD']
-    if options.channel == 'tt':
-        data_samples = ['TauA_preEE','TauB_rereco_preEE',
-                        'TauC_rereco_preEE','TauD_rereco_preEE','TauE_rereco_postEE','TauF_postEE','TauG_postEE']        
-
-
-if options.method==0: ztt_samples+=ewkz_samples
-
-sm_samples = { 'ggH' : 'GluGluHToTauTau_M-*', 'qqH' : 'VBFHToTauTau_M-*', 'WplusH' : 'WplusHToTauTau_M-*', 'WminusH' : 'WminusHToTauTau_M-*', 'ZH' : 'ZHToTauTau_M-*', 'TTH' : 'TTHToTauTau_M-*' }
-if options.era in ["smsummer16"]: sm_samples = { 'ggH_htt*' : 'GluGluToHToTauTau_M-*', 'qqH_htt*' : 'VBFHToTauTau_M-*', 'WplusH_htt*' : 'WplusHToTauTau_M-*', 'WminusH_htt*' : 'WminusHToTauTau_M-*', 'ZH_htt*' : 'ZHToTauTau_M-*'}
-
-
-if options.analysis in ['cpprod']: 
-# 2016
-  if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
-    sm_samples = { 
-
-
-         'ggh*_powheg' : 'GluGluToHToTauTau_M-125', 
-   #      'vbf*_powheg' : 'VBFHToTauTau_M-125',
-    #     'wplush*_powheg': 'WplusHToTauTau_M-125',
-     #    'wminush*_powheg': 'WminusHToTauTau_M-125',
-      #   'zh*_powheg': 'ZHToTauTau_M-125',
-#         'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
- #        'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-  #       'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'qqH_htt*' : 'VBFHToTauTau_M-125',
-         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-         'ZH_htt*': 'ZHToTauTau_M-125',
-       #  "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-
-
-         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0_HToTauTau',
-         'qqH_ps_htt*' : 'VBFHiggs0M_HToTauTau',
-         'qqH_sm_htt*' : 'VBFHiggs0PM_HToTauTau',
-         'WH_mm_htt*' : 'WHiggs0MfWH05ph0',
-         'WH_ps_htt*' : 'WHiggs0M',
-         'WH_sm_htt*' : 'WHiggs0PM',
-         'ZH_mm_htt*' : 'ZHiggs0MfZH05ph0',
-         'ZH_ps_htt*' : 'ZHiggs0M',
-         'ZH_sm_htt*' : 'ZHiggs0PM',
-    }
-
-
-# 2017
-
-
-  if (options.era == 'cpsummer17' or options.era == 'UL_17'):
-    sm_samples = {
-         'ggh*_powheg' : ['GluGluHToTauTau_M-125','GluGluHToTauTau_M-125-ext'],
-     #    'vbf*_powheg' : 'VBFHToTauTau_M-125',
-      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
-      #   'wminush*_powheg': 'WminusHToTauTau_M-125',
-       #  'zh*_powheg': 'ZHToTauTau_M-125',
-         #'ZHps_htt*' : 'ZHiggs0MToTauTau',
-         #'ZHsm_htt*' : 'ZHiggs0PMToTauTau',
-         #'ZHmm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
-         #'qqHsm_htt*' : 'VBFHiggs0PMToTauTau',
-         #'qqHps_htt*' :'VBFHiggs0MToTauTau',
-         #'qqHmm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
-         #'WHps_htt*' :'WHiggs0MToTauTau',
-         #'WHmm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
-         #'WHsm_htt*' : 'WHiggs0PMToTauTau',
-        # 'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-        # 'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-        # 'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'qqH_htt*' : 'VBFHToTauTau_M-125',
-         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-         'ZH_htt*': 'ZHToTauTau_M-125',
-     #    "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
-         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
-         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
-         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
-         'WH_ps_htt*' : 'WHiggs0MToTauTau',
-         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
-         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
-         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
-         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
-    }
-
-
-# 2018
-
-
-  if (options.era == 'cp18' or options.era == 'UL_18'):
-    sm_samples = {
-         #'vbf_new' : 'VBFHToTauTau_M125_withDipoleRecoil',
-         'ggh*_powheg' : 'GluGluHToTauTau_M-125',
-     #    'vbf*_powheg' : 'VBFHToTauTau_M-125-ext1',
-      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
-       #  'wminush*_powheg': 'WminusHToTauTau_M-125',
-        # 'zh*_powheg': 'ZHToTauTau_M-125',
-         #'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         #'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         #'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'qqH_htt*' : 'VBFHToTauTau_M-125-ext1',
-         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-         'ZH_htt*': ['ZHToTauTau_M-125','ZHToTauTau_M125-ext1'],
-        # "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
-         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
-         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
-         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
-         'WH_ps_htt*' : 'WHiggs0MToTauTau',
-         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
-         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
-         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
-         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
-    }
-
-  if options.era == '22':
-    sm_samples = {
-         #'vbf_new' : 'VBFHToTauTau_M125_withDipoleRecoil',
-         'ggh*_powheg' : 'GluGluHToTauTau_M-125',
-     #    'vbf*_powheg' : 'VBFHToTauTau_M-125-ext1',
-      #   'wplush*_powheg': 'WplusHToTauTau_M-125',
-       #  'wminush*_powheg': 'WminusHToTauTau_M-125',
-        # 'zh*_powheg': 'ZHToTauTau_M-125',
-         #'reweighted_ggH_htt_0PM*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         #'reweighted_ggH_htt_0Mf05ph0*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         #'reweighted_ggH_htt_0M*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'ggH_sm_htt*' : ['JJH0PMToTauTauPlusZeroJets_Filtered','JJH0PMToTauTauPlusOneJets_Filtered','JJH0PMToTauTauPlusTwoJets_Filtered'],
-         'ggH_mm_htt*' : ['JJH0Mf05ph0ToTauTauPlusZeroJets_Filtered','JJH0Mf05ph0ToTauTauPlusOneJets_Filtered','JJH0Mf05ph0ToTauTauPlusTwoJets_Filtered'],
-         'ggH_ps_htt*' : ['JJH0MToTauTauPlusZeroJets_Filtered','JJH0MToTauTauPlusOneJets_Filtered','JJH0MToTauTauPlusTwoJets_Filtered'],
-         'qqH_htt*' : 'VBFHToTauTau_M-125-ext1',
-         'WH_htt*': ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-         'ZH_htt*': ['ZHToTauTau_M-125','ZHToTauTau_M125-ext1'],
-        # "ggH_cpdecay_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-         'qqH_mm_htt*' : 'VBFHiggs0Mf05ph0ToTauTau',
-         'qqH_ps_htt*' : 'VBFHiggs0MToTauTau',
-         'qqH_sm_htt*' : 'VBFHiggs0PMToTauTau',
-         'WH_mm_htt*' : 'WHiggs0Mf05ph0ToTauTau',
-         'WH_ps_htt*' : 'WHiggs0MToTauTau',
-         'WH_sm_htt*' : 'WHiggs0PMToTauTau',
-         'ZH_mm_htt*' : 'ZHiggs0Mf05ph0ToTauTau',
-         'ZH_ps_htt*' : 'ZHiggs0MToTauTau',
-         'ZH_sm_htt*' : 'ZHiggs0PMToTauTau',
-    }
-
-
-
-
-if options.analysis in ['cpdecay']:
-
-
-  if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
-    sm_samples = {
-       #'ggH_ph_htt*' : 'GluGluToHToTauTau_M-125',
-       #'qqH_ph_htt*' : 'VBFHToTauTau_M-125',
-       "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-       "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-       "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-       "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-       "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-       "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-       "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-       "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-       "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-       "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-       "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-       "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-       #"WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'], 
-       #"ZH_ph_htt*": 'ZHToTauTau_M-125', 
-       #"ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-       #"qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-    }
-
-
-# for 2017
-  if (options.era == 'cpsummer17' or options.era == 'UL_17'):
-    sm_samples = {
-        'ggH_ph_htt*' : ['GluGluHToTauTau_M-125','GluGluHToTauTau_M-125-ext'],
-        'qqH_ph_htt*' : 'VBFHToTauTau_M-125',
-        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered", 
-        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-        "ZH_ph_htt*": 'ZHToTauTau_M-125',
-        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered", 
-    }
-
-
-  if (options.era == 'cp18' or options.era == 'UL_18'):
-    sm_samples = {
-        # test CP in decay samples
-        'ggH_ph_htt*' : 'GluGluHToTauTau_M-125',
-        'qqH_ph_htt*' : 'VBFHToTauTau_M-125-ext1',
-        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-        "ZH_ph_htt*": 'ZHToTauTau_M-125',  
-        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-    }
-  if options.era == '22':
-    sm_samples = {
-        # test CP in decay samples
-        'ggH_ph_htt*' : 'GluGluHToTauTau_M-125',
-        'qqH_ph_htt*' : 'VBFHToTauTau_M-125-ext1',
-        "qqH_sm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_ps_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_mm_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_sm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_ps_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "ggH_mm_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "WH_sm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_ps_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "WH_mm_htt*" : ['WplusHToTauTauUncorrelatedDecay_Filtered','WminusHToTauTauUncorrelatedDecay_Filtered'],
-        "ZH_sm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_ps_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "ZH_mm_htt*": 'ZHToTauTauUncorrelatedDecay_Filtered',
-        "WH_ph_htt*": ['WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-        "ZH_ph_htt*": 'ZHToTauTau_M-125',  
-        "ggH_flat_htt*": "GluGluHToTauTauUncorrelatedDecay_Filtered",
-        "qqH_flat_htt*": "VBFHToTauTauUncorrelatedDecay_Filtered",
-    }
-
-
-if options.analysis in ['mssmrun2','vlq']:
-  if options.era == '22':
-    sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
-                   'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-                 }
-  if (options.era == 'cp18' or options.era == 'UL_18'):
-    sm_samples = { 'ggH125_SM' : 'GluGluHToTauTau_M-125',
-                   'qqH125' : ['VBFHToTauTau_M-125-ext1','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-#                   'qqH95' : 'VBFHToTauTau_M-95',
-                   #'qqH125' : 'VBFHToTauTau_M-125-ext1',
-                   #'ZH125' : 'ZHToTauTau_M-125',
-                   #'WplusH125' : 'WplusHToTauTau_M-125',
-                   #'WminusH125' : 'WminusHToTauTau_M-125',
-                   #'ttH125' : 'ttHToTauTau',
-                   #'ggHWW125' : 'GluGluHToWWTo2L2Nu_M-125',
-                   #'qqHWW125' : 'VBFHToWWTo2L2Nu_M-125',
-                   #'WminusHWW125' : 'HWminusJ_HToWW',
-                   #'WplusHWW125' : 'HWplusJ_HToWW',
-                 }
-  elif (options.era == 'cpsummer17' or options.era == 'UL_17'):
-    sm_samples = { 'ggH125_SM' : ['GluGluHToTauTau_M-125','GluGluHToTauTau_M-125-ext'],
-                   'qqH125' : ['VBFHToTauTau_M-125','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-                   #'qqH95' : 'VBFHToTauTau_M-95',
-                   #'qqH125' : 'VBFHToTauTau_M-125',
-                   #'ZH125' : 'ZHToTauTau_M-125',
-                   #'WplusH125' : 'WplusHToTauTau_M-125',
-                   #'WminusH125' : 'WminusHToTauTau_M-125',
-                   #'ttH125' : 'ttHToTauTau',
-                   #'ggHWW125' : 'GluGluHToWWTo2L2Nu_M-125',
-                   #'qqHWW125' : 'VBFHToWWTo2L2Nu_M-125',
-                   #'WminusHWW125' : 'HWminusJ_HToWW',
-                   #'WplusHWW125' : 'HWplusJ_HToWW',
-                 }
-  elif options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
-    sm_samples = { 'ggH125_SM' : 'GluGluToHToTauTau_M-125',
-                   'qqH125': ['VBFHToTauTau_M-125','ZHToTauTau_M-125','WplusHToTauTau_M-125','WminusHToTauTau_M-125'],
-                   #'qqH95' : 'VBFHToTauTau_M-95',
-                   #'qqH125' : 'VBFHToTauTau_M-125',
-                   #'ZH125' : 'ZHToTauTau_M-125',
-                   #'WplusH125' : 'WplusHToTauTau_M-125',
-                   #'WminusH125' : 'WminusHToTauTau_M-125',
-                   #'ttH125' : 'ttHJetToTT',
-                   #'ggHWW125' : 'GluGluHToWWTo2L2Nu_M-125',
-                   #'qqHWW125' : 'VBFHToWWTo2L2Nu_M-125',
-                   #'WminusHWW125' : 'HWminusJ_HToWW',
-                   #'WplusHWW125' : 'HWplusJ_HToWW',
-                 }
-
-
-if options.analysis == "vlq":
-  vlq_samples = {
-    "vlq_betaRd33_0_mU2_gU1":"VectorLQToTauTau_betaRd33_0_mU2_gU1",
-    "vlq_betaRd33_0_mU2_gU2":"VectorLQToTauTau_betaRd33_0_mU2_gU2",
-    "vlq_betaRd33_0_mU2_gU3":"VectorLQToTauTau_betaRd33_0_mU2_gU3",
-    "vlq_betaRd33_0_mU3_gU1":"VectorLQToTauTau_betaRd33_0_mU3_gU1",
-    "vlq_betaRd33_0_mU3_gU2":"VectorLQToTauTau_betaRd33_0_mU3_gU2",
-    "vlq_betaRd33_0_mU3_gU3":"VectorLQToTauTau_betaRd33_0_mU3_gU3",
-    "vlq_betaRd33_0_mU4_gU1":"VectorLQToTauTau_betaRd33_0_mU4_gU1",
-    "vlq_betaRd33_0_mU4_gU2":"VectorLQToTauTau_betaRd33_0_mU4_gU2",
-    "vlq_betaRd33_0_mU4_gU3":"VectorLQToTauTau_betaRd33_0_mU4_gU3",
-    "vlq_betaRd33_minus1_mU2_gU1":"VectorLQToTauTau_betaRd33_minus1_mU2_gU1",
-    "vlq_betaRd33_minus1_mU2_gU2":"VectorLQToTauTau_betaRd33_minus1_mU2_gU2",
-    "vlq_betaRd33_minus1_mU2_gU3":"VectorLQToTauTau_betaRd33_minus1_mU2_gU3",
-    "vlq_betaRd33_minus1_mU3_gU1":"VectorLQToTauTau_betaRd33_minus1_mU3_gU1",
-    "vlq_betaRd33_minus1_mU3_gU2":"VectorLQToTauTau_betaRd33_minus1_mU3_gU2",
-    "vlq_betaRd33_minus1_mU3_gU3":"VectorLQToTauTau_betaRd33_minus1_mU3_gU3",
-    "vlq_betaRd33_minus1_mU4_gU1":"VectorLQToTauTau_betaRd33_minus1_mU4_gU1",
-    "vlq_betaRd33_minus1_mU4_gU2":"VectorLQToTauTau_betaRd33_minus1_mU4_gU2",
-    "vlq_betaRd33_minus1_mU4_gU3":"VectorLQToTauTau_betaRd33_minus1_mU4_gU3",
-    "VLQ_betaRd33_0_M_2000":["VectorLQToTauTau_betaRd33_0_mU2_gU1","VectorLQToTauTau_betaRd33_0_mU2_gU2","VectorLQToTauTau_betaRd33_0_mU2_gU3"],
-    "VLQ_betaRd33_0_M_3000":["VectorLQToTauTau_betaRd33_0_mU3_gU1","VectorLQToTauTau_betaRd33_0_mU3_gU2","VectorLQToTauTau_betaRd33_0_mU3_gU3"],
-    "VLQ_betaRd33_0_M_4000":["VectorLQToTauTau_betaRd33_0_mU4_gU1","VectorLQToTauTau_betaRd33_0_mU4_gU2","VectorLQToTauTau_betaRd33_0_mU4_gU3"],
-    "VLQ_betaRd33_minus1_M_2000":["VectorLQToTauTau_betaRd33_minus1_mU2_gU1","VectorLQToTauTau_betaRd33_minus1_mU2_gU2","VectorLQToTauTau_betaRd33_minus1_mU2_gU3"],
-    "VLQ_betaRd33_minus1_M_3000":["VectorLQToTauTau_betaRd33_minus1_mU3_gU1","VectorLQToTauTau_betaRd33_minus1_mU3_gU2","VectorLQToTauTau_betaRd33_minus1_mU3_gU3"],
-    "VLQ_betaRd33_minus1_M_4000":["VectorLQToTauTau_betaRd33_minus1_mU4_gU1","VectorLQToTauTau_betaRd33_minus1_mU4_gU2","VectorLQToTauTau_betaRd33_minus1_mU4_gU3"],
-  }
-
-
-
-
-if options.ggh_masses_powheg == "":
-  mssm_samples = { 'ggH' : 'SUSYGluGluToHToTauTau_M-*', 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*' }
-else:
-  mssm_samples = { 'ggH' : 'SUSYGluGluToHToTauTau_M-*_powheg', 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*_powheg' }
-
-
-if options.bbh_masses_powheg == "":
-  mssm_nlo_samples = { 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*-NLO' }
-  mssm_lo_samples = { 'bbH-LO' : 'SUSYGluGluToBBHToTauTau_M-*' }
-  mssm_nlo_qsh_samples = { 'bbH-QshUp' : 'SUSYGluGluToBBHToTauTau_M-*-NLO-QshUp', 'bbH-QshDown' : 'SUSYGluGluToBBHToTauTau_M-*-NLO-QshDown' }
-else:
-  mssm_lo_samples = { 'bbH' : 'SUSYGluGluToBBHToTauTau_M-*_powheg' }
-
-
-
-
-if options.nlo_qsh and mssm_nlo_samples: mssm_nlo_samples.update(mssm_nlo_qsh_samples)
-Hhh_samples = { 'ggH' : 'GluGluToRadionToHHTo2B2Tau_M-*' }
-
-
-# set systematics: first index sets folder name contaning systematic samples, second index sets string to be appended to output histograms, third index specifies the weight to be applied , 4th lists samples that should be skipped
-systematics = OrderedDict()
-if not options.no_default: systematics['default'] = ('','', 'wt', [], False)
-
-
-if options.syst_e_res != '':
-    systematics['res_e_up'] = ('ERES_UP' , '_'+options.syst_e_res+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-    systematics['res_e_down'] = ('ERES_DOWN' , '_'+options.syst_e_res+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-if options.syst_mu_res != '':
-    systematics['res_mu_up'] = ('MURES_UP' , '_'+options.syst_mu_res+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-    systematics['res_mu_down'] = ('MURES_DOWN' , '_'+options.syst_mu_res+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-if options.syst_tau_res != '':
-    systematics['res_tau_up'] = ('TRES_UP' , '_'+options.syst_tau_res+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-    systematics['res_tau_down'] = ('TRES_DOWN' , '_'+options.syst_tau_res+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-if options.syst_e_scale != '':
-    systematics['scale_e_up'] = ('ESCALE_UP' , '_'+options.syst_e_scale+'Up', 'wt', ['QCD','jetFakes'], False)
-    systematics['scale_e_down'] = ('ESCALE_DOWN' , '_'+options.syst_e_scale+'Down', 'wt', ['QCD','jetFakes'], False)
-if options.syst_mu_scale != '':
-    systematics['scale_mu_up'] = ('MUSCALE_UP' , '_'+options.syst_mu_scale+'Up', 'wt',['QCD','jetFakes'], False)
-    systematics['scale_mu_down'] = ('MUSCALE_DOWN' , '_'+options.syst_mu_scale+'Down', 'wt', ['QCD','jetFakes'], False)
-
-
-if options.syst_tau_scale != '':
-    systematics['scale_t_up'] = ('TSCALE_UP' , '_'+options.syst_tau_scale+'Up', 'wt', ['jetFakes'], False)
-    systematics['scale_t_down'] = ('TSCALE_DOWN' , '_'+options.syst_tau_scale+'Down', 'wt', ['jetFakes'], False)
-if options.syst_tau_scale_0pi != '':
-    systematics['scale_t_0pi_up'] = ('TSCALE0PI_UP' , '_'+options.syst_tau_scale_0pi+'Up', 'wt', ['QCD','jetFakes'], False)
-    systematics['scale_t_0pi_down'] = ('TSCALE0PI_DOWN' , '_'+options.syst_tau_scale_0pi+'Down', 'wt', ['QCD','jetFakes'], False)
-if options.syst_tau_scale_1pi != '':
-    systematics['scale_t_1pi_up'] = ('TSCALE1PI_UP' , '_'+options.syst_tau_scale_1pi+'Up', 'wt', ['QCD','jetFakes'], False)
-    systematics['scale_t_1pi_down'] = ('TSCALE1PI_DOWN' , '_'+options.syst_tau_scale_1pi+'Down', 'wt', ['QCD','jetFakes'], False)
-if options.syst_tau_scale_3prong != '':
-    systematics['scale_t_3prong_up'] = ('TSCALE3PRONG_UP' , '_'+options.syst_tau_scale_3prong+'Up', 'wt', ['QCD','jetFakes'], False)
-    systematics['scale_t_3prong_down'] = ('TSCALE3PRONG_DOWN' , '_'+options.syst_tau_scale_3prong+'Down', 'wt', ['QCD','jetFakes'], False)
-if options.syst_tau_scale_3prong1pi0 != '':
-    systematics['scale_t_3prong1pi0_up'] = ('TSCALE3PRONG1PI0_UP' , '_'+options.syst_tau_scale_3prong1pi0+'Up', 'wt', ['QCD','jetFakes'], False)
-    systematics['scale_t_3prong1pi0_down'] = ('TSCALE3PRONG1PI0_DOWN' , '_'+options.syst_tau_scale_3prong1pi0+'Down', 'wt', ['QCD','jetFakes'], False)
-### group TES
-if options.syst_tau_scale_grouped != "":
-    hist_name = options.syst_tau_scale_grouped
-    syst_dict = {
-        '0pi': ['1prong','TSCALE0PI'],
-        '1pi': ['1prong1pizero','TSCALE1PI'],
-        '3prong': ['3prong','TSCALE3PRONG'],
-        '3prong1pi0': ['3prong1pizero','TSCALE3PRONG1PI0'],
-    }
-    for name, values in syst_dict.iteritems():
-        syst_name = hist_name.replace("*group", values[0])
-        systematics["scale_t_{}_up".format(name)] = (
-            "{}_UP".format(values[1]), "_{}Up".format(syst_name), 
-            "wt", ["QCD","jetFakes"], False
-        )
-        systematics["scale_t_{}_down".format(name)] = (
-            "{}_DOWN".format(values[1]), "_{}Down".format(syst_name), 
-            "wt", ["QCD","jetFakes"], False
-        )
-##
-if options.syst_efake_0pi_scale != '':
-    systematics['scale_efake_0pi_up'] = ('EFAKE0PI_UP' , '_'+options.syst_efake_0pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-    systematics['scale_efake_0pi_down'] = ('EFAKE0PI_DOWN' , '_'+options.syst_efake_0pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-if options.syst_efake_1pi_scale != '':
-    systematics['scale_efake_1pi_up'] = ('EFAKE1PI_UP' , '_'+options.syst_efake_1pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-    systematics['scale_efake_1pi_down'] = ('EFAKE1PI_DOWN' , '_'+options.syst_efake_1pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-if options.syst_mufake_0pi_scale != '':
-    systematics['scale_mufake_0pi_up'] = ('MUFAKE0PI_UP' , '_'+options.syst_mufake_0pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-    systematics['scale_mufake_0pi_down'] = ('MUFAKE0PI_DOWN' , '_'+options.syst_mufake_0pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-if options.syst_mufake_1pi_scale != '':
-    systematics['scale_mufake_1pi_up'] = ('MUFAKE1PI_UP' , '_'+options.syst_mufake_1pi_scale+'Up', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','EmbedZTT'], False)
-    systematics['scale_mufake_1pi_down'] = ('MUFAKE1PI_DOWN' , '_'+options.syst_mufake_1pi_scale+'Down', 'wt', ['ZTT','VVT','VVJ','TTT','TTJ','QCD','signal','W','jetFakes','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-if options.syst_eff_t != '':
-    systematics['syst_eff_t_up'] = ('' , '_'+options.syst_eff_t+'Up', 'wt*wt_tau_id_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
-    systematics['syst_eff_t_down'] = ('' , '_'+options.syst_eff_t+'Down', 'wt*wt_tau_id_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
-if options.syst_tquark != '':
-    systematics['syst_tquark_up'] = ('' , '_'+options.syst_tquark+'Up', 'wt*wt_tquark_up', ['ZTT','ZL','ZJ','VVT','VVJ','QCD','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-    systematics['syst_tquark_down'] = ('' , '_'+options.syst_tquark+'Down', 'wt*wt_tquark_down', ['ZTT','ZL','ZJ','VVJ','VVT','QCD','W', 'signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)  
-#    syst_alt_name='CMS_htt_ttbarShape_TheoryVsData'
-#    if 'ttbarShape' in options.syst_tquark:
-#      syst_alt_name = options.syst_tquark.replace('ttbarShape','ttbarShape_TheoryVsData') 
-#    systematics['syst_tquark_alt_up'] = ('' , '_'+syst_alt_name+'Up', 'wt*wt_tquark_alt', ['ZTT','ZL','ZJ','VVT','VVJ','QCD','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-#    systematics['syst_tquark_alt_down'] = ('' , '_'+syst_alt_name+'Down', 'wt*(2.-wt_tquark_alt)', ['ZTT','ZL','ZJ','VVJ','VVT','QCD','W', 'signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False) 
-if options.syst_zwt != '':
-    systematics['syst_zwt_up'] = ('' , '_'+options.syst_zwt+'Up', 'wt*wt_zpt_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_zwt_down'] = ('' , '_'+options.syst_zwt+'Down', 'wt*wt_zpt_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-if options.syst_w_fake_rate != '':
-    to_skip = ['ZTT','ZL','ZJ','VVT','VVJ','TTT','TTJ','QCD','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT']
-    if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','mvadm2016']: to_skip = ['ZTT','ZL','VVT','TTT','QCD','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT']
-    systematics['syst_w_fake_rate_up'] = ('' , '_'+options.syst_w_fake_rate+'Up', 'wt*wt_tau_fake_up', to_skip, False)
-    systematics['syst_w_fake_rate_down'] = ('' , '_'+options.syst_w_fake_rate+'Down', 'wt*wt_tau_fake_down', to_skip, False)
-if options.syst_jfake_m != '':
-    systematics['syst_jfake_m_up'] = ('' , '_'+options.syst_jfake_m+'Up', 'wt*idisoweight_up_2', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
-    systematics['syst_jfake_m_down'] = ('' , '_'+options.syst_jfake_m+'Down', 'wt*idisoweight_down_2', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
-if options.syst_jfake_e != '':
-    systematics['syst_jfake_e_up'] = ('' , '_'+options.syst_jfake_e+'Up', 'wt*idisoweight_up_1', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
-    systematics['syst_jfake_e_down'] = ('' , '_'+options.syst_jfake_e+'Down', 'wt*idisoweight_down_1', ['ZTT','QCD','signal','TT','EmbedZTT'], False)
-if options.syst_scale_j != '':
-    systematics['syst_scale_j_up'] = ('JES_UP' , '_'+options.syst_scale_j+'Up', 'wt', ['EmbedZTT','jetFakes'], False)
-    systematics['syst_scale_j_down'] = ('JES_DOWN' , '_'+options.syst_scale_j+'Down', 'wt', ['EmbedZTT','jetFakes'], False)
-if options.syst_res_j != '':
-    systematics['syst_res_j_up'] = ('JER_UP' , '_'+options.syst_res_j+'Up', 'wt', ['EmbedZTT','jetFakes'], False)
-    systematics['syst_res_j_down'] = ('JER_DOWN' , '_'+options.syst_res_j+'Down', 'wt', ['EmbedZTT','jetFakes'], False)
-if options.syst_scale_j_corr != '':
-    systematics['syst_scale_j_corr_up'] = ('JES_CORR_UP' , '_'+options.syst_scale_j_corr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_corr_down'] = ('JES_CORR_DOWN' , '_'+options.syst_scale_j_corr+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_uncorr != '':
-    systematics['syst_scale_j_uncorr_up'] = ('JES_UNCORR_UP' , '_'+options.syst_scale_j_uncorr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_uncorr_down'] = ('JES_UNCORR_DOWN' , '_'+options.syst_scale_j_uncorr+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_rbal != '':
-    systematics['syst_scale_j_rbal_up'] = ('JESRBAL_UP' , '_'+options.syst_scale_j_rbal+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_rbal_down'] = ('JESRBAL_DOWN' , '_'+options.syst_scale_j_rbal+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_rsamp != '':
-    systematics['syst_scale_j_rsamp_up'] = ('JESRSAMP_UP' , '_'+options.syst_scale_j_rsamp+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_rsamp_down'] = ('JESRSAMP_DOWN' , '_'+options.syst_scale_j_rsamp+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_full != '':
-    systematics['syst_scale_j_full_up'] = ('JESFULL_UP' , '_'+options.syst_scale_j_full+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_full_down'] = ('JESFULL_DOWN' , '_'+options.syst_scale_j_full+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_cent != '':
-    systematics['syst_scale_j_cent_up'] = ('JESCENT_UP' , '_'+options.syst_scale_j_cent+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_cent_down'] = ('JESCENT_DOWN' , '_'+options.syst_scale_j_cent+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_hf != '':
-    systematics['syst_scale_j_hf_up'] = ('JESHF_UP' , '_'+options.syst_scale_j_hf+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_hf_down'] = ('JESHF_DOWN' , '_'+options.syst_scale_j_hf+'Down', 'wt', ['EmbedZTT'], False)    
-if options.syst_scale_j_full_corr != '':
-    systematics['syst_scale_j_full_corr_up'] = ('JESFULL_CORR_UP' , '_'+options.syst_scale_j_full_corr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_full_corr_down'] = ('JESFULL_CORR_DOWN' , '_'+options.syst_scale_j_full_corr+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_cent_corr != '':
-    systematics['syst_scale_j_cent_corr_up'] = ('JESCENT_CORR_UP' , '_'+options.syst_scale_j_cent_corr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_cent_corr_down'] = ('JESCENT_CORR_DOWN' , '_'+options.syst_scale_j_cent_corr+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_hf_corr != '':
-    systematics['syst_scale_j_hf_corr_up'] = ('JESHF_CORR_UP' , '_'+options.syst_scale_j_hf_corr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_hf_corr_down'] = ('JESHF_CORR_DOWN' , '_'+options.syst_scale_j_hf_corr+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_full_uncorr != '':
-    systematics['syst_scale_j_full_uncorr_up'] = ('JESFULL_UNCORR_UP' , '_'+options.syst_scale_j_full_uncorr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_full_uncorr_down'] = ('JESFULL_UNCORR_DOWN' , '_'+options.syst_scale_j_full_uncorr+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_cent_uncorr != '':
-    systematics['syst_scale_j_cent_uncorr_up'] = ('JESCENT_UNCORR_UP' , '_'+options.syst_scale_j_cent_uncorr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_cent_uncorr_down'] = ('JESCENT_UNCORR_DOWN' , '_'+options.syst_scale_j_cent_uncorr+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_scale_j_hf_uncorr != '':
-    systematics['syst_scale_j_hf_uncorr_up'] = ('JESHF_UNCORR_UP' , '_'+options.syst_scale_j_hf_uncorr+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_scale_j_hf_uncorr_down'] = ('JESHF_UNCORR_DOWN' , '_'+options.syst_scale_j_hf_uncorr+'Down', 'wt', ['EmbedZTT'], False)
-############ Regrouped JEC for full run2
-if options.syst_scale_j_regrouped != "":
-    hist_name = options.syst_scale_j_regrouped
-    # need dict of syst names and folders of where the shifted trees are found
-    names = ["Absolute", "Absolute_year", "BBEC1", "BBEC1_year", 
-            "EC2", "EC2_year", "FlavorQCD", "HF", "HF_year", 
-            "RelativeBal", "RelativeSample_year"]
-    folders = ["JESABS", "JESABS_YEAR", "JESBBEC1", "JESBBEC1_YEAR", 
-            "JESEC2", "JESEC2_YEAR", "JESFLAV", "JESHF", "JESHF_YEAR", 
-            "JESRBAL", "JESRELSAMP_YEAR"]
-    syst_dict = dict(zip(names, folders))
-
-
-    replaceYear = ""
-    if options.era in ["legacy16",'UL_16_preVFP','UL_16_postVFP']: replaceYear = "2016"
-    elif (options.era == "cpsummer17" or options.era == 'UL_17'): replaceYear = "2017"
-    elif (options.era == "cp18" or options.era == 'UL_18'): replaceYear = "2018"
-    elif options.era == "22": replaceYear = "2022"    
-    else: assert ValueError("Regrouped JES only works for full RunII analyses")
-
-
-    if "*group" in hist_name:
-        for name, folder in syst_dict.iteritems():
-            if "year" in name: name=name.replace("year", replaceYear)
-            syst_name = hist_name.replace("*group", name)
-            systematics['syst_scale_j_{}_up'.format(syst_name)] = (
-                "{}_UP".format(folder), "_{}Up".format(syst_name), 
-                "wt", ["EmbedZTT",'jetFakes','QCD'], False)
-            systematics['syst_scale_j_{}_down'.format(syst_name)] = (
-                "{}_DOWN".format(folder), "_{}Down".format(syst_name), 
-                "wt", ["EmbedZTT",'jetFakes','QCD'], False)
-
-
-if options.syst_eff_b_weights != '':
-    systematics['syst_b_weights_up'] = ('' , '_'+options.syst_eff_b_weights+'Up', 'wt*wt_btag_up/wt_btag', ['EmbedZTT','ZTT','ZL','ZLL','ZJ','EWKZ','signal','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
-    systematics['syst_b_weights_down'] = ('' , '_'+options.syst_eff_b_weights+'Down', 'wt*wt_btag_down/wt_btag', ['EmbedZTT','ZTT','ZL','ZLL','ZJ','EWKZ','signal','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
-if options.syst_eff_b != '':
-    systematics['syst_b_up'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BTAG_UP'.format(options.year), '_'+options.syst_eff_b+'Up', 'wt', ['EmbedZTT','ZJ','EWKZ','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
-    systematics['syst_b_down'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BTAG_DOWN'.format(options.year) , '_'+options.syst_eff_b+'Down', 'wt', ['EmbedZTT','ZJ','EWKZ','jetFakes','W','QCD','qqH_hww','ggH_hww'], False)
-if options.syst_fake_b != '':
-    systematics['syst_fake_b_up'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BFAKE_UP'.format(options.year), '_'+options.syst_fake_b+'Up', 'wt', ['EmbedZTT'], False)
-    systematics['syst_fake_b_down'] = ('../../../../../../../vols/cms/dw515/Offline/output/MSSM/mssm_{}_btag/BFAKE_DOWN'.format(options.year) , '_'+options.syst_fake_b+'Down', 'wt', ['EmbedZTT'], False)
-if options.syst_zpt_es != '':
-    systematics['syst_zpt_es_up'] = ('' , '_'+options.syst_zpt_es+'Up', 'wt*wt_zpt_esup', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_zpt_es_down'] = ('' , '_'+options.syst_zpt_es+'Down', 'wt*wt_zpt_esdown', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-if options.syst_zpt_tt != '':
-    systematics['syst_zpt_tt_up'] = ('' , '_'+options.syst_zpt_tt+'Up', 'wt*wt_zpt_ttup', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_zpt_tt_down'] = ('' , '_'+options.syst_zpt_tt+'Down', 'wt*wt_zpt_ttdown', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-if options.syst_zpt_statpt0 != '':
-    systematics['syst_zpt_statpt0_up'] = ('' , '_'+options.syst_zpt_statpt0+'Up', 'wt*wt_zpt_stat_m400pt0_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_zpt_statpt0_down'] = ('' , '_'+options.syst_zpt_statpt0+'Down', 'wt*wt_zpt_stat_m400pt0_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-if options.syst_zpt_statpt40 != '':
-    systematics['syst_zpt_statpt40_up'] = ('' , '_'+options.syst_zpt_statpt40+'Up', 'wt*wt_zpt_stat_m400pt40_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_zpt_statpt40_down'] = ('' , '_'+options.syst_zpt_statpt40+'Down', 'wt*wt_zpt_stat_m400pt40_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-if options.syst_zpt_statpt80 != '':
-    systematics['syst_zpt_statpt80_up'] = ('' , '_'+options.syst_zpt_statpt80+'Up', 'wt*wt_zpt_stat_m400pt80_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_zpt_statpt80_down'] = ('' , '_'+options.syst_zpt_statpt80+'Down', 'wt*wt_zpt_stat_m400pt80_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-if options.syst_z_mjj != '' and options.cat in ['vbf','dijet','dijet_lowboost','dijet_boosted',
-        # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
-        # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
-        ]:
-    systematics['syst_z_mjj_up'] = ('' , '_'+options.syst_z_mjj+'Up', 'wt*wt_z_mjj_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','ggH_hww125','qqH_hww125', 'ggH_hww', 'qqH_hww','EmbedZTT'], False)
-    systematics['syst_z_mjj_down'] = ('' , '_'+options.syst_z_mjj+'Down', 'wt*wt_z_mjj_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','ggH_hww125','qqH_hww125', 'ggH_hww', 'qqH_hww','EmbedZTT'], False)
-if options.syst_qcd_scale != '' and options.cat in ['0jet','boosted','vbf','dijet','dijet_lowboost','dijet_boosted',
-            ] and options.channel in ['em','et','mt','tt'] and options.era == 'smsummer16': 
-    if "Mjj" not in options.cat:
-        weight_up = 'wt*wt_scale_%s_%s' % (options.channel, options.cat)
-        weight_down = 'wt*(2-wt_scale_%s_%s)' % (options.channel, options.cat)
-    elif "low" in options.cat:
-        weight_up = 'wt*wt_scale_%s_boosted' % (options.channel)
-        weight_down = 'wt*(2-wt_scale_%s_boosted)' % (options.channel)
-    if options.cat in ['dijet','dijet_lowboost','dijet_boosted',
-            ]:
-      weight_up = 'wt*wt_scale_%s_vbf' % (options.channel)
-      weight_down = 'wt*(2-wt_scale_%s_vbf)' % (options.channel)
-
-
-    systematics['syst_qcd_scale_up'] = ('' , '_'+options.syst_qcd_scale+'Up', weight_up, ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-    systematics['syst_qcd_scale_down'] = ('' , '_'+options.syst_qcd_scale+'Down', weight_down, ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-if options.syst_qcd_scale != '' and options.era != 'smsummer16':
-    systematics['syst_qcd_scale_up'] = ('' , '_'+options.syst_qcd_scale+'Up', 'wt*wt_qcdscale_up', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
-    systematics['syst_qcd_scale_down'] = ('' , '_'+options.syst_qcd_scale+'Down', 'wt*wt_qcdscale_down', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
-if options.syst_quarkmass != '':
-    systematics['syst_quarkmass_up'] = ('' , '_'+options.syst_quarkmass+'Up', 'wt*wt_quarkmass', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
-    systematics['syst_quarkmass_down'] = ('' , '_'+options.syst_quarkmass+'Down', 'wt*((1./wt_quarkmass-1.)*0.05 + 1.)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*'], False)
-if options.syst_ps != '':
-    if '*PS' in options.syst_ps:
-      hist_name_fsr = options.syst_ps.replace('*PS','PS_FSR')
-      hist_name_isr = options.syst_ps.replace('*PS','PS_ISR')
-      systematics['syst_ps_fsr_up'] = ('' , '_'+hist_name_fsr+'Up', 'wt*min(wt_ps_fsr_up,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-      systematics['syst_ps_fsr_down'] = ('' , '_'+hist_name_fsr+'Down', 'wt*min(wt_ps_fsr_down,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-      systematics['syst_ps_isr_up'] = ('' , '_'+hist_name_isr+'Up', 'wt*min(wt_ps_isr_up,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-      systematics['syst_ps_isr_down'] = ('' , '_'+hist_name_isr+'Down', 'wt*min(wt_ps_isr_down,10)', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-    else: 
-      systematics['syst_ps_up'] = ('' , '_'+options.syst_ps+'Up', 'wt*wt_ps_up', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-      systematics['syst_ps_down'] = ('' , '_'+options.syst_ps+'Down', 'wt*wt_ps_down', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-if options.syst_ue != '':
-    systematics['syst_ue_up'] = ('' , '_'+options.syst_ue+'Up', 'wt*wt_ue_up', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-    systematics['syst_ue_down'] = ('' , '_'+options.syst_ue+'Down', 'wt*wt_ue_down', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','QCD','W','jetFakes','qqH','WminusH','WplusH','ZH','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT','ggH_ph_htt*','ggHsm_jhu_htt*','ggHps_jhu_htt*','ggHmm_jhu_htt*'], False)
-if options.syst_tau_id_dm0 != '':
-    systematics['syst_tau_id_dm0_up'] = ('' , '_'+options.syst_tau_id_dm0+'Up', 'wt*wt_tau_id_dm0_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
-    systematics['syst_tau_id_dm0_down'] = ('' , '_'+options.syst_tau_id_dm0+'Down', 'wt*wt_tau_id_dm0_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
-if options.syst_tau_id_dm1 != '':
-    systematics['syst_tau_id_dm1_up'] = ('' , '_'+options.syst_tau_id_dm1+'Up', 'wt*wt_tau_id_dm1_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
-    systematics['syst_tau_id_dm1_down'] = ('' , '_'+options.syst_tau_id_dm1+'Down', 'wt*wt_tau_id_dm1_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)    
-if options.syst_tau_id_dm10 != '':
-    systematics['syst_tau_id_dm10_up'] = ('' , '_'+options.syst_tau_id_dm10+'Up', 'wt*wt_tau_id_dm10_up', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)
-    systematics['syst_tau_id_dm10_down'] = ('' , '_'+options.syst_tau_id_dm10+'Down', 'wt*wt_tau_id_dm10_down', ['ZL','ZJ','VVJ','TTJ','QCD','W'], False)   
-if options.syst_lfake_dm0 != '':
-    systematics['syst_lfake_dm0_up'] = ('' , '_'+options.syst_lfake_dm0+'Up', 'wt*wt_lfake_dm0_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_lfake_dm0_down'] = ('' , '_'+options.syst_lfake_dm0+'Down', 'wt*wt_lfake_dm0_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)    
-if options.syst_lfake_dm1 != '':
-    systematics['syst_lfake_dm1_up'] = ('' , '_'+options.syst_lfake_dm1+'Up', 'wt*wt_lfake_dm1_up', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-    systematics['syst_lfake_dm1_down'] = ('' , '_'+options.syst_lfake_dm1+'Down', 'wt*wt_lfake_dm1_down', ['VVT','VVJ','TTT','TTJ','QCD','W','signal','jetFakes','EmbedZTT'], False)
-if options.syst_qcd_shape_wsf != '':
-    systematics['syst_qcd_shape_wsf_up'] = ('' , '_'+options.syst_qcd_shape_wsf.replace('cat',options.cat)+'Up', 'wt', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','jetFakes','signal','W','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-    systematics['syst_qcd_shape_wsf_down'] = ('' , '_'+options.syst_qcd_shape_wsf.replace('cat',options.cat)+'Down', 'wt', ['ZTT','ZL','ZJ','ZLL','VVT','VVJ','TTT','TTJ','jetFakes','signal','W','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-    if options.cat in ["0jet","boosted",
-            # 'ggh_lowMjj','qqh_lowMjj','misc_lowMjj','qcd_lowMjj','qqh_lowMjj','tt_lowMjj','zll_lowMjj','ztt_lowMjj','fake_lowMjj','jetFakes_lowMjj','zttEmbed_lowMjj',
-            ]:
-        w_abs_shift=0.1
-    if options.cat in ["vbf",'dijet','dijet_lowboost','dijet_boosted',
-            # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
-            ]:
-        w_abs_shift=0.3
-if options.syst_scale_met_unclustered != '':
-    #systematics['syst_scale_met_unclustered_up'] = ('METUNCL_UP' , '_'+options.syst_scale_met_unclustered+'Up', 'wt', ['EWKZ','ZLL','ZL','ZJ','ZTT','W','signal','QCD','jetFakes','EmbedZTT','ggH_hww','qqH_hww'], False)
-    #systematics['syst_scale_met_unclustered_down'] = ('METUNCL_DOWN' , '_'+options.syst_scale_met_unclustered+'Down', 'wt', ['EWKZ','ZLL','ZL','ZJ','ZTT','W','signal','QCD','jetFakes','EmbedZTT','ggH_hww','qqH_hww'], False)
-    systematics['syst_scale_met_unclustered_up'] = ('METUNCL_UP' , '_'+options.syst_scale_met_unclustered+'Up', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
-    systematics['syst_scale_met_unclustered_down'] = ('METUNCL_DOWN' , '_'+options.syst_scale_met_unclustered+'Down', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
-if options.syst_scale_met_clustered != '':
-    systematics['syst_scale_met_clustered_up'] = ('METCL_UP' , '_'+options.syst_scale_met_clustered+'Up', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
-    systematics['syst_scale_met_clustered_down'] = ('METCL_DOWN' , '_'+options.syst_scale_met_clustered+'Down', 'wt', ['QCD','jetFakes','EmbedZTT'], False)
-if options.syst_res_met != '':
-    hist_name = options.syst_res_met
-    if '$NJET' in hist_name: 
-      hist_name_0jet = hist_name.replace('$NJET','0Jet')
-      hist_name_1jet = hist_name.replace('$NJET','1Jet')
-      hist_name_2jet = hist_name.replace('$NJET','2Jet')
-      
-      systematics['syst_res_met_0jet_up'] = ('MET_RES_NJETS0_UP' , '_'+hist_name_0jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      systematics['syst_res_met_0jet_down'] = ('MET_RES_NJETS0_DOWN' , '_'+hist_name_0jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      
-      systematics['syst_res_met_1jet_up'] = ('MET_RES_NJETS1_UP' , '_'+hist_name_1jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      systematics['syst_res_met_1jet_down'] = ('MET_RES_NJETS1_DOWN' , '_'+hist_name_1jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      
-      systematics['syst_res_met_2jet_up'] = ('MET_RES_NJETS2_UP' , '_'+hist_name_2jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      systematics['syst_res_met_2jet_down'] = ('MET_RES_NJETS2_DOWN' , '_'+hist_name_2jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-    elif options.analysis == "vlq":
-      systematics['syst_res_met_up'] = ('MET_RES_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
-      systematics['syst_res_met_down'] = ('MET_RES_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
-    else:
-      systematics['syst_res_met_up'] = ('MET_RES_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False)
-      systematics['syst_res_met_down'] = ('MET_RES_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False) 
-if options.syst_scale_met != '':
-    hist_name = options.syst_scale_met
-    if '$NJET' in hist_name: 
-      hist_name_0jet = hist_name.replace('$NJET','0Jet')
-      hist_name_1jet = hist_name.replace('$NJET','1Jet')
-      hist_name_2jet = hist_name.replace('$NJET','2Jet')
-      systematics['syst_scale_met_0jet_up'] = ('MET_SCALE_NJETS0_UP' , '_'+hist_name_0jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      systematics['syst_scale_met_0jet_down'] = ('MET_SCALE_NJETS0_DOWN' , '_'+hist_name_0jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      
-      systematics['syst_scale_met_1jet_up'] = ('MET_SCALE_NJETS1_UP' , '_'+hist_name_1jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      systematics['syst_scale_met_1jet_down'] = ('MET_SCALE_NJETS1_DOWN' , '_'+hist_name_1jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      
-      systematics['syst_scale_met_2jet_up'] = ('MET_SCALE_NJETS2_UP' , '_'+hist_name_2jet+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-      systematics['syst_scale_met_2jet_down'] = ('MET_SCALE_NJETS2_DOWN' , '_'+hist_name_2jet+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ'], False)
-    elif options.analysis == "vlq":
-      systematics['syst_scale_met_up'] = ('MET_SCALE_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
-      systematics['syst_scale_met_down'] = ('MET_SCALE_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','signal'], False)
-    else:  
-      systematics['syst_scale_met_up'] = ('MET_SCALE_UP' , '_'+hist_name+'Up', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False)
-      systematics['syst_scale_met_down'] = ('MET_SCALE_DOWN' , '_'+hist_name+'Down', 'wt', ['QCD','jetFakes','EmbedZTT','TT','TTJ','TTT','VV','VVT','VVJ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww'], False)  
-    if options.embedding and options.analysis in ['mssmrun2','vlq']: 
-      embed_hist_name='scale_embed_met_%s' % options.year 
-      systematics['syst_scale_embed_met_up'] = ('MET_SCALE_UP' , '_'+embed_hist_name+'Up', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-      systematics['syst_scale_embed_met_down'] = ('MET_SCALE_DOWN' , '_'+embed_hist_name+'Down', 'wt', ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False) 
-if options.syst_scale_j_by_source != '':
-    jes_sources={"AbsoluteFlavMap":1,"AbsoluteMPFBias":2,"AbsoluteScale":3,"AbsoluteStat":4,"FlavorQCD":5,"Fragmentation":6,"PileUpDataMC":7,"PileUpPtBB":8,"PileUpPtEC1":9,"PileUpPtEC2":10,"PileUpPtHF":11,"PileUpPtRef":12,"RelativeBal":13,"RelativeFSR":14,"RelativeJEREC1":15,"RelativeJEREC2":16,"RelativeJERHF":17,"RelativePtBB":18,"RelativePtEC1":19,"RelativePtEC2":20,"RelativePtHF":21,"RelativeStatEC":22,"RelativeStatFSR":23,"RelativeStatHF":24,"SinglePionECAL":25,"SinglePionHCAL":26,"TimePtEta":27}
-    jes_to_process=[]
-    for i in options.jes_sources.split(','):
-      if ':' in i: jes_to_process+=range(int(i.split(':')[0]),int(i.split(':')[1])+1)
-      else: jes_to_process.append(int(i)) 
-    jes_to_process = list(set(jes_to_process))  
-    for source in jes_sources:
-      jes_num = jes_sources[source]  
-      if jes_num not in jes_to_process: continue  
-      replace_dict = {'n_jets':'n_jets_%i'%jes_num, 'n_bjets':'n_bjets_%i'%jes_num, 'mjj':'mjj_%i'%jes_num, 'jdeta':'jdeta_%i'%jes_num, 'jdphi':'jdphi_%i'%jes_num, 'jpt_1':'jpt_1_%i'%jes_num, 'jpt_2':'jpt_2_%i'%jes_num}
-      syst_name = 'syst_scale_j_by_source_'+source
-      hist_name = options.syst_scale_j_by_source.replace('SOURCE', source)
-      systematics[syst_name+'_up'] = ('JES_UP' , '_'+hist_name+'Up', 'wt', ['jetFakes','EmbedZTT'], False,replace_dict)
-      systematics[syst_name+'_down'] = ('JES_DOWN' , '_'+hist_name+'Down', 'wt', ['jetFakes','EmbedZTT'], False,replace_dict)
-
-if options.syst_jfake_scale != '':
-  # this is an approximate version of this uncertainty for now
-  replace_dict_up = {'pt_2':'pt_2*1.03', 'm_vis':'m_vis*sqrt(1.03)'}
-  replace_dict_down = {'pt_2':'pt_2*0.97', 'm_vis':'m_vis*sqrt(0.97)'}
-  syst_name = 'syst_jfake_scale'
-  hist_name = options.syst_jfake_scale
-  to_skip = ['VVT','VVJ','TTT','TTJ','QCD','signal','jetFakes','EmbedZTT','ZJ','ZL','ZLL','ZTT']
-  systematics[syst_name+'_approx_up'] = ('' , '_'+hist_name+'ApproxUp', 'wt', to_skip, False,replace_dict_up)
-  systematics[syst_name+'_approx_down'] = ('' , '_'+hist_name+'ApproxDown', 'wt', to_skip, False,replace_dict_down)
-  systematics[syst_name+'_up'] = ('JFAKE_UP' , '_'+hist_name+'Up', 'wt', to_skip, False)
-  systematics[syst_name+'_down'] = ('JFAKE_DOWN' , '_'+hist_name+'Down', 'wt', to_skip, False)
-
-## em QCD uncertainties
-if options.syst_em_qcd != '' and options.channel == 'em':
-    hist_name = options.syst_em_qcd
-    if '*BIN' in hist_name:
-      hist_name_bini = hist_name.replace('*BIN', 'IsoExtrap')
-      systematics['syst_em_qcd_extrap_up'] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_em_qcd_extrapup', ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-      systematics['syst_em_qcd_extrap_down'] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_em_qcd_extrapdown', ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-      for j in range(0,3):
-        for i in range(1,3):
-          hist_name_bini = hist_name.replace('*BIN', 'stat_njets%(j)i_unc%(i)i' % vars())
-          systematics['syst_em_qcd_njets%(j)i_unc%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_em_qcd_njets%(j)s_unc%(i)i_up' % vars(), ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)
-          systematics['syst_em_qcd_njets%(j)i_unc%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_em_qcd_njets%(j)i_unc%(i)i_down' % vars(), ['ZLL','TT','TTJ','TTT','ZTT','ZL','ZJ','VVT','VVJ','W','signal','jetFakes','EWKZ','ggH_hww125','qqH_hww125','ggH_hww','qqH_hww','EmbedZTT'], False)  
-
-
-if options.syst_prefire != '':
-    systematics['syst_prefire_up'] = ('' , '_'+options.syst_prefire+'Up', 'wt*wt_prefire_up/wt_prefire', ['QCD','jetFakes','EmbedZTT'], False)
-    systematics['syst_prefire_down'] = ('' , '_'+options.syst_prefire+'Down', 'wt*wt_prefire_down/wt_prefire', ['QCD','jetFakes','EmbedZTT'], False)
-
-
-if options.syst_tau_id_diff != '':
-
-
-    hist_name = options.syst_tau_id_diff
-
-
-    if options.analysis in ['mssmrun2','vlq']:
-      if '*' in hist_name:
-        # add the usual pT binned uncerts for et and mt with pT<100 
-        if options.channel in ['et','mt']:
-
-
-          pt_bins = ["20-25", "25-30", "30-35", "35-40", "40-500", "500-1000", "1000-inf"]
-
-
-          for i in range(3,6):
-            bin_name = pt_bins[i-1]
-            hist_name_bini = hist_name.replace('*','%(bin_name)s' % vars())
-            systematics['syst_tau_id_diff_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*(wt_tau_id_pt_bin%(i)i_up*(pt_2<100) + (pt_2>=100))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-            systematics['syst_tau_id_diff_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*(wt_tau_id_pt_bin%(i)i_down*(pt_2<100) + (pt_2>=100))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-
-
-        if options.channel == 'tt':
-          # add the usual dm binned uncerts for tt with pt<100
-          for i in [0,1,10,11]:
-            hist_name_bini = hist_name.replace('*','dm%(i)i' % vars())
-            systematics['syst_tau_id_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-            systematics['syst_tau_id_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
-
-
-        # add the dedicated high pT uncerts which are common for both channels
-   
-        pt_bins = {5: "highpT_100-500",  6: "highpT_500-inf"}
-
-
-        # weights stored incorrectly, doing by hand instead
-        #for i in range(5,7):
-          #bin_name = pt_bins[i]
-          #hist_name_bini = hist_name.replace('*','%(bin_name)s' % vars())
-          #systematics['syst_tau_id_diff_highpt_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_mssm_bin%(i)i_up' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-          #systematics['syst_tau_id_diff_highpt_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_mssm_bin%(i)i_down' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-        if options.year == "2022":
-          nom_40_plus = "1.00458784525"
-          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
-          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.952971628935", "1.00458784525", "-0.0516162163153", "-0.103232432631"       
-        if options.year == "2018":
-          nom_40_plus = "1.00458784525"
-          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "1.03510518813", "1.00458784525", "0.0305173428802", "0.0610346857604"
-          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.952971628935", "1.00458784525", "-0.0516162163153", "-0.103232432631"
-        elif options.year == "2017":
-          nom_40_plus = "0.86966080714"
-          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "0.903623575349", "0.86966080714", "0.0339627682083", "0.0679255364167"
-          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.835685230027", "0.86966080714", "-0.0339755771129", "-0.0679511542259"
-        elif options.year == "2016":
-          nom_40_plus = "0.949771847264"
-          up_40_500, up_500_1000_const,up_500_1000_scale, up_1000_plus = "0.982473629072", "0.949771847264", "0.0327017818078", "0.0654035636156"
-          down_40_500, down_500_1000_const,down_500_1000_scale, down_1000_plus = "0.908265091132", "0.949771847264", "-0.0415067561324", "-0.0830135122647"
-
-
-        bin5_up_formula = "(((gen_match_X==5&&pt_X>100&&pt_X<=500)*(%(up_40_500)s/%(nom_40_plus)s)) + ((gen_match_X==5&&pt_X>100&&pt_X<=500)==0))" % vars()
-        bin5_down_formula = "(((gen_match_X==5&&pt_X>100&&pt_X<=500)*(%(down_40_500)s/%(nom_40_plus)s)) + ((gen_match_X==5&&pt_X>100&&pt_X<=500)==0))" % vars()
-        bin6_up_formula = "((((gen_match_X==5&&pt_X>500&&pt_X<=1000)*((%(up_500_1000_const)s + %(up_500_1000_scale)s*(pt_X/500.))/%(nom_40_plus)s))+((gen_match_X==5&&pt_X>1000)*((%(up_500_1000_const)s + %(up_1000_plus)s)/%(nom_40_plus)s)))+((gen_match_X==5&&pt_X>500)==0))" % vars()
-        bin6_down_formula = "((((gen_match_X==5&&pt_X>500&&pt_X<=1000)*((%(down_500_1000_const)s + %(down_500_1000_scale)s*(pt_X/500.))/%(nom_40_plus)s))+((gen_match_X==5&&pt_X>1000)*((%(down_500_1000_const)s + %(down_1000_plus)s)/%(nom_40_plus)s)))+((gen_match_X==5&&pt_X>500)==0))" % vars()
-
-
-
-
-        if options.channel in ["mt","et"]:
-          systematics['syst_tau_id_diff_highpt_bin5_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Up', 'wt*{}'.format(bin5_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-          systematics['syst_tau_id_diff_highpt_bin5_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Down', 'wt*{}'.format(bin5_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-          systematics['syst_tau_id_diff_highpt_bin6_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Up', 'wt*{}'.format(bin6_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-          systematics['syst_tau_id_diff_highpt_bin6_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Down', 'wt*{}'.format(bin6_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-        elif options.channel == "tt":
-          systematics['syst_tau_id_diff_highpt_bin5_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Up', 'wt*{}*{}'.format(bin5_up_formula.replace("X","1"),bin5_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-          systematics['syst_tau_id_diff_highpt_bin5_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_100-500')+'Down', 'wt*{}*{}'.format(bin5_down_formula.replace("X","1"),bin5_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-          systematics['syst_tau_id_diff_highpt_bin6_up' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Up', 'wt*{}*{}'.format(bin6_up_formula.replace("X","1"),bin6_up_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-          systematics['syst_tau_id_diff_highpt_bin6_down' % vars()] = ('' , '_'+hist_name.replace('*','highpT_500-inf')+'Down', 'wt*{}*{}'.format(bin6_down_formula.replace("X","1"),bin6_down_formula.replace("X","2")), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-
-
-        
-
-
-
-
-        hist_name_pi0 = hist_name.replace('_eff_t','').replace('*','1ProngPi0Eff' % vars())
-        hist_name_pi = hist_name.replace('_eff_t','').replace('*','3ProngEff' % vars())
-        if options.channel in ['et','mt']:
-          systematics['syst_tau_id_diff_emb_trk_pi_up' % vars()] = ('' , '_'+hist_name_pi+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*1.008+(tau_decay_mode_2>9)*1.024))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
-          systematics['syst_tau_id_diff_emb_trk_pi_down' % vars()] = ('' , '_'+hist_name_pi+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*0.992+(tau_decay_mode_2>9)*0.976))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
-          systematics['syst_tau_id_diff_emb_trk_pi0_up' % vars()] = ('' , '_'+hist_name_pi0+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*1.014))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False) 
-          systematics['syst_tau_id_diff_emb_trk_pi0_down' % vars()] = ('' , '_'+hist_name_pi0+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*0.986))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False) 
-        if options.channel in ['tt']:
-          systematics['syst_tau_id_diff_emb_trk_pi_up' % vars()] = ('' , '_'+hist_name_pi+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*1.008+(tau_decay_mode_2>9)*1.024))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1<3)*1.008+(tau_decay_mode_1>9)*1.024))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
-          systematics['syst_tau_id_diff_emb_trk_pi_down' % vars()] = ('' , '_'+hist_name_pi+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2<3)*0.992+(tau_decay_mode_2>9)*0.976))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1<3)*0.992+(tau_decay_mode_1>9)*0.976))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
-          systematics['syst_tau_id_diff_emb_trk_pi0_up' % vars()] = ('' , '_'+hist_name_pi0+'Up', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*1.014))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1==0 || tau_decay_mode_1==10) + ((tau_decay_mode_1==0 || tau_decay_mode_1==10)==0)*1.014))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False)
-          systematics['syst_tau_id_diff_emb_trk_pi0_down' % vars()] = ('' , '_'+hist_name_pi0+'Down', 'wt*((pt_2>=100)+(pt_2<100)*((tau_decay_mode_2==0 || tau_decay_mode_2==10) + ((tau_decay_mode_2==0 || tau_decay_mode_2==10)==0)*0.986))*((pt_1>=100)+(pt_1<100)*((tau_decay_mode_1==0 || tau_decay_mode_1==10) + ((tau_decay_mode_1==0 || tau_decay_mode_1==10)==0)*0.986))' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes','ZTT','TTT','VVT','signal'], False) 
-
-
- 
-    elif '*PT' in hist_name:
-      for i in range(1,6):
-        hist_name_bini = hist_name.replace('*PT','bin%(i)i' % vars())
-        systematics['syst_tau_id_diff_bin%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_pt_bin%(i)i_up' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-        systematics['syst_tau_id_diff_bin%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_pt_bin%(i)i_down' % vars(), ['ZLL','TTJ','ZL','ZJ','VVJ','W','jetFakes'], False)
-    elif '*DM' in hist_name:
-      for i in [0,1,10,11]:
-        hist_name_bini = hist_name.replace('*DM','DM%(i)i' % vars())
-        systematics['syst_tau_id_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-        systematics['syst_tau_id_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False) 
-    elif '*MVADM' in hist_name:
-      for i in [0,1,2,10,11]:
-        if options.channel != 'tt':
-          hist_name_bini = hist_name.replace('*MVADM','pTlow_MVADM%(i)i' % vars())
-          systematics['syst_tau_id_diff_lowpt_mvadm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_lowpt_mvadm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-          systematics['syst_tau_id_diff_lowpt_mvadm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_lowpt_mvadm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
-
-
-        hist_name_bini = hist_name.replace('*MVADM','pThigh_MVADM%(i)i' % vars())
-        systematics['syst_tau_id_diff_highpt_mvadm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_id_highpt_mvadm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-        systematics['syst_tau_id_diff_highpt_mvadm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_id_highpt_mvadm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
-
-
-if options.syst_lep_trg_diff != '':
-  hist_name = options.syst_lep_trg_diff
-  chan = options.channel
-  if options.analysis in ['mssmrun2','vlq']:
-    hist_name_bini_slt = hist_name.replace('*','trigger_%(chan)s' % vars())
-    hist_name_bini_ct = hist_name.replace('*','xtrigger_l_%(chan)s' % vars())
-    if chan in ["et"]:
-      systematics['syst_lep_trg_diff_singlelep_up' % vars()] = ('' , '_'+hist_name_bini_slt+'Up', 'wt*((1.02*(trg_singleelectron==1)) + (trg_singleelectron==0))' % vars(), ['QCD','jetFakes'], False)
-      systematics['syst_lep_trg_diff_singlelep_down' % vars()] = ('' , '_'+hist_name_bini_slt+'Down', 'wt*((1.02*(trg_singleelectron==1)) + (trg_singleelectron==0))'% vars(), ['QCD','jetFakes'], False)
-      systematics['syst_lep_trg_diff_crosstrg_up' % vars()] = ('' , '_'+hist_name_bini_ct+'Up', 'wt*((1.02*(trg_etaucross==1)) + (trg_etaucross==0))' % vars(), ['QCD','jetFakes'], False)
-      systematics['syst_lep_trg_diff_crosstrg_down' % vars()] = ('' , '_'+hist_name_bini_ct+'Down', 'wt*((1.02*(trg_etaucross==1)) + (trg_etaucross==0))'% vars(), ['QCD','jetFakes'], False)
-    elif chan in ["mt"]:
-      systematics['syst_lep_trg_diff_singlelep_up' % vars()] = ('' , '_'+hist_name_bini_slt+'Up', 'wt*((1.02*(trg_singlemuon==1)) + (trg_singlemuon==0))' % vars(), ['QCD','jetFakes'], False)
-      systematics['syst_lep_trg_diff_singlelep_down' % vars()] = ('' , '_'+hist_name_bini_slt+'Down', 'wt*((1.02*(trg_singlemuon==1)) + (trg_singlemuon==0))'% vars(), ['QCD','jetFakes'], False)
-      systematics['syst_lep_trg_diff_crosstrg_up' % vars()] = ('' , '_'+hist_name_bini_ct+'Up', 'wt*((1.02*(trg_mutaucross==1)) + (trg_mutaucross==0))' % vars(), ['QCD','jetFakes'], False)
-      systematics['syst_lep_trg_diff_crosstrg_down' % vars()] = ('' , '_'+hist_name_bini_ct+'Down', 'wt*((1.02*(trg_mutaucross==1)) + (trg_mutaucross==0))'% vars(), ['QCD','jetFakes'], False)
-
-
-
-
-if options.syst_tau_trg_diff != '':
-    hist_name = options.syst_tau_trg_diff
-    chan = options.channel
-
-
-    if options.analysis in ['mssmrun2','vlq']:
-      if '*'in hist_name:
-
-
-        # single tau uncerts
-        hist_name_bini = hist_name.replace('*','trigger_single_t' % vars())
-        systematics['syst_tau_trg_diff_singletau_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_singletau_up' % vars(), ['QCD','jetFakes'], False)
-        systematics['syst_tau_trg_diff_singletau_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_singletau_down'% vars(), ['QCD','jetFakes'], False)
-
-
-        if chan in ['mt','et']:
-
-
-          # single lepton uncerts
-          hist_name_bini = hist_name.replace('*','trigger_%(chan)s' % vars())
-          systematics['syst_tau_trg_diff_singlelep_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_singlelep_up' % vars(), ['QCD','jetFakes'], False)
-          systematics['syst_tau_trg_diff_singlelep_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_singlelep_down'% vars(), ['QCD','jetFakes'], False)
-
-
-          # cross lepton uncerts
-          hist_name_bini = hist_name.replace('*','xtrigger_l_%(chan)s' % vars())
-          systematics['syst_tau_trg_diff_crosslep_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_crosslep_up' % vars(), ['QCD','jetFakes'], False)
-          systematics['syst_tau_trg_diff_crosslep_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_crosslep_down'% vars(), ['QCD','jetFakes'], False)
-
-
-        # double-tau / cross-tau uncerts
-        for i in [0,1,10,11]:
-
-
-          hist_name_bini = hist_name.replace('*','xtrigger_t_%(chan)s_dm%(i)i' % vars())
-
-
-          systematics['syst_tau_trg_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-          systematics['syst_tau_trg_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
-
-
-          if chan == 'tt':
-            # for tt channels we decouple low and high pT so add additional uncertainty for high pT here
-            hist_name_bini = hist_name.replace('*','xtrigger_t_%(chan)s_dm%(i)i_highpT' % vars())
-            systematics['syst_tau_trg_diff_dm%(i)i_highpt_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mssm_highpt_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-            systematics['syst_tau_trg_diff_dm%(i)i_highpt_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mssm_highpt_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
-
-
-
-
-
-
-    elif '*DM' in hist_name:
-      for i in [0,1,10,11]:
-        hist_name_bini = hist_name.replace('*DM','DM%(i)i' % vars())
-        if options.channel != 'tt':
-          systematics['syst_tau_trg_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*((wt_tau_trg_dm%(i)i_up==1) + (wt_tau_trg_dm%(i)i_up!=1)*(max(1.05,wt_tau_trg_dm%(i)i_up)))' % vars(), ['QCD','jetFakes'], False)
-          systematics['syst_tau_trg_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*((wt_tau_trg_dm%(i)i_down==1) + (wt_tau_trg_dm%(i)i_down!=1)*(min(0.95,wt_tau_trg_dm%(i)i_down)))' % vars(), ['QCD','jetFakes'], False)
-        else: 
-          systematics['syst_tau_trg_diff_dm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_dm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-          systematics['syst_tau_trg_diff_dm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_dm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
-    elif '*MVADM' in hist_name:
-
-
-      for i in [0,1,2,10,11]:
-        hist_name_bini = hist_name.replace('*MVADM','MVADM%(i)i' % vars())
-        systematics['syst_tau_trg_diff_mvadm%(i)i_up' % vars()] = ('' , '_'+hist_name_bini+'Up', 'wt*wt_tau_trg_mvadm%(i)i_up' % vars(), ['QCD','jetFakes'], False)
-        systematics['syst_tau_trg_diff_mvadm%(i)i_down' % vars()] = ('' , '_'+hist_name_bini+'Down', 'wt*wt_tau_trg_mvadm%(i)i_down'% vars(), ['QCD','jetFakes'], False)
-
-
-if options.syst_embed_pt != '':
-    hist_name = options.syst_embed_pt
-    systematics['syst_embed_pt_up' % vars()] = ('' , '_'+hist_name+'Up', 'wt*wt_zpt_embed_ic' % vars(), ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-    systematics['syst_embed_pt_down' % vars()] = ('' , '_'+hist_name+'Down', 'wt*(2-wt_zpt_embed_ic)'% vars(), ['QCD','jetFakes','EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal'], False)
-
-
-if options.method in [17,18] and options.do_ff_systs and options.channel in ['et','mt','tt'] and options.era == 'mssmsummer16':
-    processes = ['tt','w','qcd']
-    dms = ['dm0', 'dm1']
-    njets = ['njet0','njet1']
-    for process in processes:
-      template_name = 'ff_'+process+'_syst'
-      if process is 'qcd' or options.channel == 'tt': template_name = 'ff_'+process+'_'+options.channel+'_syst'
-      weight_name = 'wt_ff_'+options.cat+'_'+process+'_syst_'
-      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-      if options.channel == 'tt' and process in ['w','tt']: continue
-      for dm in dms: 
-        for njet in njets:
-          template_name = 'ff_'+process+'_'+dm+'_'+njet
-          if process != 'tt': template_name+='_'+options.channel
-          template_name+='_stat'
-          weight_name = 'wt_ff_'+options.cat+'_'+process+'_'+dm+'_'+njet+'_stat_'
-          systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-          systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-    if options.channel == "tt":
-      processes = ['dy', 'w', 'tt']
-      for process in processes:
-        template_name = 'ff_'+process+'_frac_tt_syst'
-        weight_name = 'wt_ff_'+options.cat+'_'+process+'_frac_syst_'
-        systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-        systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-
-
-if options.method in [17,18] and options.channel in ['et','mt','tt'] and options.analysis=='cpdecay' and options.do_ff_systs:
-  if options.channel in ['et','mt']:
-    chan = options.channel
-    lt_systs = {}
-    lt_systs['ff_%(chan)s_qcd_syst' % vars()] = 'wt_ff_qcd_syst_' % vars()
-    lt_systs['ff_%(chan)s_wjets_syst' % vars()] = 'wt_ff_wjets_syst_' % vars()
-    lt_systs['ff_%(chan)s_ttbar_syst' % vars()] = 'wt_ff_ttbar_syst_' % vars()
-
-
-    tt_systs['ff_%(chan)s_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_syst_' % vars()
-    tt_systs['ff_%(chan)s_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_syst_' % vars()
-
-
-    tt_systs['ff_%(chan)s_wjets_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_wjets_syst_' % vars()
-    tt_systs['ff_%(chan)s_wjets_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_wjets_syst_' % vars()
-    tt_systs['ff_%(chan)s_wjets_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_wjets_syst_' % vars()
-
-
-
-
-    tt_systs['ff_%(chan)s_wjets_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_wjets_met_' % vars()
-    tt_systs['ff_%(chan)s_wjets_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_wjets_met_' % vars()
-    tt_systs['ff_%(chan)s_wjets_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_wjets_met_' % vars()
-
-
-    tt_systs['ff_%(chan)s_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_met_' % vars()
-    tt_systs['ff_%(chan)s_qcd_met_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_met_' % vars()
-
-
-    tt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_wjets_l_pt_' % vars()
-    tt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_wjets_l_pt_' % vars()
-    tt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_wjets_l_pt_' % vars()
-
-
-    tt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_l_pt_' % vars()
-    tt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_l_pt_' % vars()
-
-
-    for proc in ['qcd','wjets']:
-      lt_systs['ff_%(chan)s_%(proc)s_met_closure_syst' % vars()] = 'wt_ff_%(proc)s_met_' % vars()
-      lt_systs['ff_%(chan)s_%(proc)s_l_pt_closure_syst' % vars()] = 'wt_ff_%(proc)s_l_pt_' % vars()
-
-
-      for njet in ['0','1','2']:
-        for dm in ['0_sig_lt3','0_sig_gt3','1','2','10','11']:
-          #lt_systs[('ff_%(chan)s_%(proc)s_stat_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_%(proc)s_stat_njet%(njet)s_mvadm%(dm)s_' % vars()
-          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc1_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_%(proc)s_stat_unc1_njet%(njet)s_mvadm%(dm)s_' % vars()
-          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc2_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_%(proc)s_stat_unc2_njet%(njet)s_mvadm%(dm)s_' % vars()
-    for template_name in lt_systs:
-      weight_name = lt_systs[template_name]
-      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-
-
-  if options.channel in ['tt']:
-    tt_systs={}
-    tt_systs['ff_tt_qcd_met_closure_syst' % vars()] = 'wt_ff_qcd_met_' % vars()
-    tt_systs['ff_tt_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_met_' % vars()
-    tt_systs['ff_tt_qcd_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_1+(n_jets==1)*wt_ff_qcd_met_' % vars()
-    tt_systs['ff_tt_qcd_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_1+(n_jets>=2)*wt_ff_qcd_met_' % vars()
-    tt_systs['ff_tt_qcd_syst' % vars()] = 'wt_ff_qcd_syst_' % vars()
-    tt_systs['ff_tt_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_1+(n_jets==0)*wt_ff_qcd_syst_' % vars()
-    tt_systs['ff_tt_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_1+(n_jets>=1)*wt_ff_qcd_syst_' % vars()
-
-
-    tt_systs['ff_tt_wjets_syst' % vars()] = 'wt_ff_wjets_syst_' % vars()
-    for njet in ['0','1','2']:
-      for dm in ['0_sig_lt3','0_sig_gt3','1','2','10','11']:
-        #tt_systs[('ff_tt_qcd_stat_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_qcd_stat_njet%(njet)s_mvadm%(dm)s_' % vars()
-        tt_systs[('ff_tt_qcd_stat_unc1_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_qcd_stat_unc1_njet%(njet)s_mvadm%(dm)s_' % vars()
-        tt_systs[('ff_tt_qcd_stat_unc2_njets%(njet)s_mvadm%(dm)s' % vars()).replace('lt3','lt').replace('gt3','gt')] = 'wt_ff_qcd_stat_unc2_njet%(njet)s_mvadm%(dm)s_' % vars()
-
-
-    for template_name in tt_systs:
-      weight_name = tt_systs[template_name]
-      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-
-
-  template_name = 'ff_%s_sub_syst' % (options.channel)
-  systematics['ff_sub_up']   = ('' , '_'+template_name+'Up',   'wt_ff',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-  systematics['ff_sub_down'] = ('' , '_'+template_name+'Down', 'wt_ff', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-
-
-if options.method in [17,18] and options.channel in ['et','mt','tt'] and options.analysis=='cpprod' and options.do_ff_systs:
-  if options.channel in ['et','mt']:
-    chan = options.channel
-    lt_systs = {}
-    lt_systs['ff_%(chan)s_qcd_syst' % vars()] = 'wt_ff_dmbins_qcd_syst_' % vars()
-    lt_systs['ff_%(chan)s_wjets_syst' % vars()] = 'wt_ff_dmbins_wjets_syst_' % vars()
-    lt_systs['ff_%(chan)s_ttbar_syst' % vars()] = 'wt_ff_dmbins_ttbar_syst_' % vars()
-
-
-    lt_systs['ff_%(chan)s_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_syst_' % vars()
-    lt_systs['ff_%(chan)s_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_syst_' % vars()
-
-
-    lt_systs['ff_%(chan)s_wjets_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_wjets_syst_' % vars()
-    lt_systs['ff_%(chan)s_wjets_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_wjets_syst_' % vars()
-    lt_systs['ff_%(chan)s_wjets_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_wjets_syst_' % vars()
-
-
-
-
-    lt_systs['ff_%(chan)s_wjets_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_wjets_met_' % vars()
-    lt_systs['ff_%(chan)s_wjets_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_wjets_met_' % vars()
-    lt_systs['ff_%(chan)s_wjets_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_wjets_met_' % vars()
-
-
-    lt_systs['ff_%(chan)s_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_met_' % vars()
-    lt_systs['ff_%(chan)s_qcd_met_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_met_' % vars()
-
-
-    lt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_wjets_l_pt_' % vars()
-    lt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_wjets_l_pt_' % vars()
-    lt_systs['ff_%(chan)s_wjets_l_pt_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_wjets_l_pt_' % vars()
-
-
-    lt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_l_pt_' % vars()
-    lt_systs['ff_%(chan)s_qcd_l_pt_closure_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_l_pt_' % vars()
-
-
-    for proc in ['qcd','wjets']:
-      lt_systs['ff_%(chan)s_%(proc)s_met_closure_syst' % vars()] = 'wt_ff_dmbins_%(proc)s_met_' % vars()
-      lt_systs['ff_%(chan)s_%(proc)s_l_pt_closure_syst' % vars()] = 'wt_ff_dmbins_%(proc)s_l_pt_' % vars()
-      for njet in ['0','1','2']:
-        for dm in ['0','1','10','11']:
-          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc1_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_%(proc)s_stat_unc1_njet%(njet)s_dm%(dm)s_' % vars()
-          lt_systs[('ff_%(chan)s_%(proc)s_stat_unc2_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_%(proc)s_stat_unc2_njet%(njet)s_dm%(dm)s_' % vars()
-    for template_name in lt_systs:
-      weight_name = lt_systs[template_name]
-      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-
-
-  if options.channel in ['tt']:
-    tt_systs={}
-    tt_systs['ff_tt_qcd_met_closure_syst' % vars()] = 'wt_ff_dmbins_qcd_met_' % vars()
-    tt_systs['ff_tt_qcd_met_closure_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_met_' % vars()
-    tt_systs['ff_tt_qcd_met_closure_syst_njets1' % vars()] = '(n_jets!=1)*wt_ff_dmbins_1+(n_jets==1)*wt_ff_dmbins_qcd_met_' % vars()
-    tt_systs['ff_tt_qcd_met_closure_syst_njets2' % vars()] = '(n_jets<2)*wt_ff_dmbins_1+(n_jets>=2)*wt_ff_dmbins_qcd_met_' % vars()
-
-
-#    tt_systs['ff_tt_qcd_syst' % vars()] = 'wt_ff_dmbins_qcd_syst_' % vars()
-    tt_systs['ff_tt_qcd_syst_njets0' % vars()] = '(n_jets!=0)*wt_ff_dmbins_1+(n_jets==0)*wt_ff_dmbins_qcd_syst_' % vars()
-    tt_systs['ff_tt_qcd_syst_njets1' % vars()] = '(n_jets==0)*wt_ff_dmbins_1+(n_jets>=1)*wt_ff_dmbins_qcd_syst_' % vars()
-
-
-    tt_systs['ff_tt_wjets_syst' % vars()] = 'wt_ff_dmbins_wjets_syst_' % vars()
-    for njet in ['0','1','2']:
-      for dm in ['0','1','10','11']:
-        tt_systs[('ff_tt_qcd_stat_unc1_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_qcd_stat_unc1_njet%(njet)s_dm%(dm)s_' % vars()
-        tt_systs[('ff_tt_qcd_stat_unc2_njets%(njet)s_dm%(dm)s' % vars())] = 'wt_ff_dmbins_qcd_stat_unc2_njet%(njet)s_dm%(dm)s_' % vars()
-
-
-    for template_name in tt_systs:
-      weight_name = tt_systs[template_name]
-      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-
-
-  template_name = 'ff_%s_sub_syst' % (options.channel)
-  systematics['ff_sub_up']   = ('' , '_'+template_name+'Up',   'wt_ff',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-  systematics['ff_sub_down'] = ('' , '_'+template_name+'Down', 'wt_ff', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT'], True)
-
-
-if options.method in [17,18] and options.channel in ['et','mt','tt'] and options.analysis in ['mssmrun2','vlq'] and options.do_ff_systs:
-  ch = options.channel
-  yr = options.year
-  if options.channel in ['tt']:
-    tt_systs={}
-    
-    for i in [1,2]:
-      tt_systs['CMS_ff_total_qcd_stat_dR_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_dR_unc%(i)i_' % vars()
-      tt_systs['CMS_ff_total_qcd_stat_pt_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_pt_unc%(i)i_' % vars()
-    tt_systs['CMS_ff_total_qcd_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_' % vars()
-    tt_systs['CMS_ff_total_wjets_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_' % vars()
-    tt_systs['CMS_ff_total_ttbar_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_' % vars()
-
-
-    # new additional uncertainties
-    tt_systs['CMS_ff_total_qcd_syst_dr_closure_%(ch)s_%(yr)s' % vars()]  = 'wt_ff_mssm_qcd_syst_dR_closure_' % vars()
-    tt_systs['CMS_ff_total_qcd_syst_met_closure_%(ch)s_%(yr)s' % vars()]  = 'wt_ff_mssm_qcd_syst_met_closure_' % vars()
-    tt_systs['CMS_ff_total_qcd_syst_pt_2_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_pt_2_closure_' % vars()
-    tt_systs['CMS_ff_total_syst_alt_func_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_syst_alt_func_' % vars()
-
-
-    for njet in [0,1]:
-      for jetpt in ['low','med','high']:
-        for i in [1,2,3]:
-          tt_systs[('CMS_ff_total_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
-
-
-
-
-    for template_name in tt_systs:
-      weight_name = tt_systs[template_name]
-      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
-      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
-
-
-  elif options.channel in ['et','mt']:
-    lt_systs={}
-
-
-    for njet in [0,1]:
-      for i in [1,2]:
-        lt_systs['CMS_ff_total_qcd_stat_ss_njets%(njet)i_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_ss_njets%(njet)i_unc%(i)i_' % vars()
-        lt_systs['CMS_ff_total_wjets_stat_met_njets%(njet)i_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_stat_met_njets%(njet)i_unc%(i)i_' % vars()
-        lt_systs['CMS_ff_total_wjets_stat_l_pt_njets%(njet)i_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_stat_l_pt_njets%(njet)i_unc%(i)i_' % vars()
-
-
-    for i in [1,2]:
-      lt_systs['CMS_ff_total_qcd_stat_os_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_os_unc%(i)i_' % vars()
-      lt_systs['CMS_ff_total_qcd_stat_l_pt_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_l_pt_unc%(i)i_' % vars()
-      lt_systs['CMS_ff_total_qcd_stat_iso_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_stat_iso_unc%(i)i_' % vars()
-      lt_systs['CMS_ff_total_wjets_stat_extrap_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_stat_extrap_unc%(i)i_' % vars()
-      lt_systs['CMS_ff_total_ttbar_stat_met_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_stat_met_unc%(i)i_' % vars()
-      lt_systs['CMS_ff_total_ttbar_stat_l_pt_unc%(i)i_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_stat_l_pt_unc%(i)i_' % vars()
-
-
-    lt_systs['CMS_ff_total_qcd_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_' % vars()
-    lt_systs['CMS_ff_total_qcd_syst_iso_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_iso_' % vars()
-    lt_systs['CMS_ff_total_wjets_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_' % vars()
-    lt_systs['CMS_ff_total_wjets_syst_extrap_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_extrap_' % vars()
-    lt_systs['CMS_ff_total_ttbar_syst_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_' % vars()
-
-
-    lt_systs['CMS_ff_total_wjets_frac_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_frac_' % vars()
-    lt_systs['CMS_ff_total_ttbar_frac_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_frac_' % vars()
-  
-    lt_systs['CMS_ff_total_low_pt_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_low_pt_' % vars()
-
-
-    # new additional uncertainties
-    lt_systs['CMS_ff_total_qcd_syst_met_closure_%(ch)s_%(yr)s' % vars()]  = 'wt_ff_mssm_qcd_syst_met_closure_' % vars()
-    lt_systs['CMS_ff_total_wjets_syst_met_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_met_closure_' % vars()
-    lt_systs['CMS_ff_total_ttbar_syst_met_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_met_closure_' % vars()
-    lt_systs['CMS_ff_total_wjets_syst_l_pt_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_l_pt_closure_' % vars()
-    lt_systs['CMS_ff_total_ttbar_syst_l_pt_closure_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_ttbar_syst_l_pt_closure_' % vars()
-    lt_systs['CMS_ff_total_syst_alt_func_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_syst_alt_func_' % vars()
-    lt_systs['CMS_ff_total_qcd_syst_bkg_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_qcd_syst_bkg_' % vars()
-    lt_systs['CMS_ff_total_wjets_syst_bkg_%(ch)s_%(yr)s' % vars()] = 'wt_ff_mssm_wjets_syst_bkg_' % vars()
-
-
-    for njet in [0,1]:
-      for jetpt in ['low','med','high']:
-        for i in [1,2,3]:
-          lt_systs[('CMS_ff_total_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_qcd_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
-        for i in [1,2,3,4]:
-          lt_systs[('CMS_ff_total_wjets_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_wjets_stat_njet%(njet)i_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
-        for i in [1,2,3]:
-          lt_systs[('CMS_ff_total_ttbar_stat_jet_pt_%(jetpt)s_unc%(i)i_%(ch)s_%(yr)s' % vars())] = 'wt_ff_mssm_ttbar_stat_jet_pt_%(jetpt)s_unc%(i)i_' % vars()
-
-
-    if options.qcd_ff_closure or options.w_ff_closure:
-      for key,val in lt_systs.items():
-        if options.qcd_ff_closure:
-          lt_systs[key] = '(wt_ff_mssm_qcd_1/wt_ff_mssm_1)*%(val)s' % vars()
-        elif options.w_ff_closure:
-          lt_systs[key] = '(wt_ff_mssm_wjets_1/wt_ff_mssm_1)*%(val)s' % vars()
-
-
-
-
-    for template_name in lt_systs:
-      weight_name = lt_systs[template_name]
-      systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   weight_name+'up',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
-      systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', weight_name+'down', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
-
-
-  template_name = 'CMS_ff_total_sub_syst_%(ch)s_%(yr)s' % vars()
-  systematics[template_name+'_up']   = ('' , '_'+template_name+'Up',   'wt_ff',   ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
-  systematics[template_name+'_down'] = ('' , '_'+template_name+'Down', 'wt_ff', ['EWKZ','ZTT','ZJ','ZL','VVT','VVJ','TTT','TTJ','QCD','W','signal','EmbedZTT','ZLL','TT','VV'], True)
-
-
-
-
-if options.syst_qcd_bkg: 
-    systematics['qcd_sub_up'] = ('','_'+options.syst_qcd_bkg+'Up', 'wt', ['EWKZ','ZTT','ZJ','ZL','ZLL','VV','VVT','VVJ','TT','TTT','TTJ','W','signal','EmbedZTT','jetFakes'], False)
-    systematics['qcd_sub_down'] = ('','_'+options.syst_qcd_bkg+'Down', 'wt', ['EWKZ','ZTT','ZJ','ZL','ZLL','VV','VVT','VVJ','TT','TTT','TTJ','W','signal','EmbedZTT','jetFakes'], False)
-
-
-
-
-if options.no_systs: systematics = {'default' : ('','', 'wt', [], False)}
-
-
-# sort systematics by tree's input directory name        
-systematics = OrderedDict(sorted(systematics.items(), key=lambda key: key[1]))
-
-
-if options.qcd_os_ss_ratio > 0:
-    qcd_os_ss_ratio = options.qcd_os_ss_ratio
-else:
-    if options.analysis in ['sm','cpprod','cpdecay','mssmrun2','vlq']:
-      if options.channel == 'et':
-          qcd_os_ss_ratio = 1.0
-          qcd_os_ss_ratio = 1.13 
-          if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 0.97
-            else: qcd_os_ss_ratio = 1.0
-          elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.61
-            else: qcd_os_ss_ratio = 1.28
-          elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
-          elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
-                  # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
-                  ]: qcd_os_ss_ratio = 1.82
-          elif options.cat in ['btag']: qcd_os_ss_ratio = 1.16
-
-
-      elif options.channel in ['mt','mj']: 
-          #qcd_os_ss_ratio = 1.07
-          qcd_os_ss_ratio = 1.12
-          if options.cat == '0jet':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.15
-            else: qcd_os_ss_ratio = 1.07
-          elif options.cat == 'boosted':
-            if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22']: qcd_os_ss_ratio = 1.18
-            else: qcd_os_ss_ratio = 1.06
-          elif options.cat in ['vbf']: qcd_os_ss_ratio = 1.0
-          elif options.cat in ['dijet','dijet_lowboost','dijet_boosted',
-                  # 'ggh_highMjj','ggh_boosted_highMjj','qqh_boosted_highMjj','ggh_tight_highMjj','ggh_loose_highMjj','ggh_loose_boost_highMjj','ggh_tight_boost_highMjj','qqh_highMjj','misc_highMjj','qcd_highMjj','qqh_highMjj','tt_highMjj','zll_highMjj','ztt_highMjj','fake_highMjj','jetFakes_highMjj','zttEmbed_highMjj','jetFakes_tight_highMjj','jetFakes_loose_highMjj'
-                  ]: qcd_os_ss_ratio = 1.23
-          elif options.cat in ['btag']: qcd_os_ss_ratio = 1.01
-      elif options.channel == 'zmm' or options.channel == 'zee':
-          qcd_os_ss_ratio = 1.07   
-      elif options.channel == 'em': 
-          qcd_os_ss_ratio = 1.0
-      else:
-          qcd_os_ss_ratio = 1.0  
-    else:
-      if options.channel == 'et':
-          qcd_os_ss_ratio = 1.02
-          if options.cat == 'inclusive': qcd_os_ss_ratio = 1.13
-          elif options.cat in ['nobtag', 'nobtag_tightmt', 'nobtag_loosemt']: qcd_os_ss_ratio = 1.11
-          elif options.cat in ['btag', 'btag_tightmt', 'btag_loosemt']: qcd_os_ss_ratio = 1.16
-      elif options.channel in ['mt','mj']: 
-          qcd_os_ss_ratio = 1.18
-          if options.cat == 'inclusive': qcd_os_ss_ratio = 1.12
-          elif options.cat in ['nobtag', 'nobtag_tightmt', 'nobtag_loosemt']: qcd_os_ss_ratio = 1.14
-          elif options.cat in ['btag', 'btag_tightmt', 'btag_loosemt']: qcd_os_ss_ratio = 1.01
-      elif options.channel == 'zmm' or options.channel == 'zee':
-          qcd_os_ss_ratio = 1.06   
-      else:
-          qcd_os_ss_ratio = 1.0
-#if options.do_ss:
-#    qcd_os_ss_ratio = 1.0
-
-
-
-
-# Get array of signal masses to process        
-ggh_masses=None
-bbh_masses=None
-sm_masses=None
-bbh_masses_powheg=None
-ggh_masses_powheg=None
-if options.sm_masses != "": sm_masses = options.sm_masses.split(',')
-if options.ggh_masses != "": ggh_masses = options.ggh_masses.split(',')
-if options.bbh_masses != "": bbh_masses = options.bbh_masses.split(',')
-if options.bbh_nlo_masses != "": bbh_nlo_masses = options.bbh_nlo_masses.split(',')
-if options.ggh_masses_powheg != "": ggh_masses = options.ggh_masses_powheg.split(',')
-if options.bbh_masses_powheg != "": bbh_masses = options.bbh_masses_powheg.split(',')
-
-
-
-
-ROOT.TH1.SetDefaultSumw2(True)
-
-
-# All functions defined here
-
-
-def BuildCutString(wt='', sel='', cat='', sign='os',bkg_sel=''):
-    full_selection = '(1)'
-    if wt != '':
-        full_selection = '('+wt+')'
-    if sel != '':
-        full_selection += '*('+sel+')'
-    if sign != '':
-        full_selection += '*('+sign+')'
-    if bkg_sel != '':
-        full_selection += '*('+bkg_sel+')'
-    if cat != '':
-        full_selection += '*('+cat+')'
-    return full_selection
-
-
-def GetZTTNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['ztt_sel'])
-    return ana.SummedFactory('ZTT'+add_name, samples, plot, full_selection)
-def GetEmbeddedNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    wt_ = wt
-    if options.analysis in ['mssmrun2','vlq']:
-      if options.channel == 'tt': 
-        wt_+='*(pt_1/gen_match_1_pt<1.5&&pt_2/gen_match_2_pt<1.5)'
-        if options.year == "2016": wt_+='*1.008'
-        else: wt_+='*1.01'
-      if options.channel in ['et','mt']: wt_+='*(pt_2/gen_match_2_pt<1.5)*1.005'
-      #wt_+='*wt_emb_sel_kit/trackingweight_1'
-      wt_+='*1/trackingweight_1'
-    if options.channel == 'em':
-      #for em channel there are non-closures wrt data and MC which are corrected here with these additional correction factors
-      if options.era in ['cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','mvadm2016']: wt_+='*1.106'
-      if options.era in ['cpsummer17','UL_17']: wt_+='*1.080'
-      if options.era in ['cp18','UL_18']: wt_+='*1.101'
-      if options.era in ['22']: wt_+='*1.101'
-    full_selection = BuildCutString(wt_+'*(wt<2)', sel, cat, OSSS, z_sels['ztt_sel'])
-    return ana.SummedFactory('EmbedZTT'+add_name, samples, plot, full_selection)
-
-
-
-
-def GetZLLNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['zll_sel'])
-    return ana.SummedFactory('ZLL'+add_name, samples, plot, full_selection)
-
-
-def GetZLNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['zl_sel'])
-    return ana.SummedFactory('ZL'+add_name, samples, plot, full_selection)
-
-
-def GetZLEmbeddedNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    wt_=wt
-    if options.analysis in ['mssmrun2','vlq']:
-      #wt_+='*wt_emb_sel_kit/(trackingweight_1*trackingweight_2)'
-      #wt_+='*wt_zpt_embed_ic/(trackingweight_1*trackingweight_2)'
-      wt_+='*1/(trackingweight_1*trackingweight_2)'
-    full_selection = BuildCutString(wt_, sel, cat, OSSS, '1')
-    return ana.SummedFactory('EmbedZL'+add_name, samples, plot, full_selection)
-
-
-def GetZJNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS, z_sels['zj_sel'])
-    return ana.SummedFactory('ZJ'+add_name, samples, plot, full_selection)
-
-
-def GenerateZLL(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True, doZL=True, doZJ=True):
-    if options.channel == 'em':
-        zll_node = GetZLLNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
-        ana.nodes[nodename].AddNode(zll_node)
-    else:
-        if doZL:
-            zl_node = GetZLNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
-            ana.nodes[nodename].AddNode(zl_node)
-        if doZJ:
-            zj_node = GetZJNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
-            ana.nodes[nodename].AddNode(zj_node)  
-
-
-def GenerateZTT(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    ztt_node = GetZTTNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)  
-    ana.nodes[nodename].AddNode(ztt_node)
-    split_taus = False
-    if split_taus:
-      ztt_node_rho = GetZTTNode(ana, '_rho'+add_name, samples, plot, wt, sel+'&&tauFlag_2==1', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(ztt_node_rho) 
-      ztt_node_a1 = GetZTTNode(ana, '_a1'+add_name, samples, plot, wt, sel+'&&tauFlag_2==2', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(ztt_node_a1)
-      ztt_node_pi = GetZTTNode(ana, '_pi'+add_name, samples, plot, wt, sel+'&&tauFlag_2==0', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(ztt_node_pi)
-      ztt_node_other = GetZTTNode(ana, '_other'+add_name, samples, plot, wt, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(ztt_node_other)  
-    
-def GenerateEmbedded(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    embed_node = GetEmbeddedNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
-    ana.nodes[nodename].AddNode(embed_node)   
-    if split_taus:
-      embed_node_rho = GetEmbeddedNode(ana, '_rho'+add_name, samples, plot, wt, sel+'&&tauFlag_2==1', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(embed_node_rho)
-      embed_node_a1 = GetEmbeddedNode(ana, '_a1'+add_name, samples, plot, wt, sel+'&&tauFlag_2==2', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(embed_node_a1)
-      embed_node_pi = GetEmbeddedNode(ana, '_pi'+add_name, samples, plot, wt, sel+'&&tauFlag_2==0', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(embed_node_pi)
-      embed_node_other = GetEmbeddedNode(ana, '_other'+add_name, samples, plot, wt, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, z_sels, get_os)
-      ana.nodes[nodename].AddNode(embed_node_other) 
-def GenerateZLEmbedded(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    embed_node = GetZLEmbeddedNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os)
-    ana.nodes[nodename].AddNode(embed_node)  
-    
-def GetEWKZNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True, doJFakes=True):
-    extra_sel = '1'
-    if not doJFakes:
-      if options.channel in ['et','mt']: extra_sel = 'gen_match_2<6'
-      if options.channel == 'tt': extra_sel = '!(gen_match_1==6 || gen_match_2==6)'
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    if options.embedding: full_selection = BuildCutString(wt, sel, cat, OSSS, extra_top_sel+'&&'+extra_sel) 
-    else: full_selection = BuildCutString(wt, sel, cat, OSSS, extra_sel)
-    return ana.SummedFactory('EWKZ'+add_name, samples, plot, full_selection)
-
-
-def GenerateEWKZ(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', z_sels={}, get_os=True):
-    ewkz_node = GetEWKZNode(ana, add_name, samples, plot, wt, sel, cat, z_sels, get_os, options.method != 17)  
-    ana.nodes[nodename].AddNode(ewkz_node) 
-
-
-def GetggHWWNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS, '1')
-    return ana.SummedFactory('ggH_hww125'+add_name, samples, plot, full_selection)
-
-
-def GetqqHWWNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', get_os=True):
-    if get_os: OSSS = 'os'
-    else: OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS, '1')
-    return ana.SummedFactory('qqH_hww125'+add_name, samples, plot, full_selection)
-
-
-def GenerateHWW(ana, add_name='', ggh_samples=[], qqh_samples=[], plot='', wt='', sel='', cat='', get_os=True, doggH=True, doqqH=True):
-  if doggH:
-      gghww_node = GetggHWWNode(ana, add_name, ggh_samples, plot, wt, sel, cat, get_os)
-      ana.nodes[nodename].AddNode(gghww_node)
-  if doqqH:
-      qqhww_node = GetqqHWWNode(ana, add_name, qqh_samples, plot, wt, sel, cat, get_os)
-      ana.nodes[nodename].AddNode(qqhww_node)
-
-
-def GetTTTNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True):
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'  
-  full_selection = BuildCutString(wt, sel, cat, OSSS, top_sels['ttt_sel'])
-  return ana.SummedFactory('TTT'+add_name, samples, plot, full_selection)
-  
-def GetTTTforZTTNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True):
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'
-  full_selection = BuildCutString(wt, sel, cat, OSSS, top_sels['ttt_ztt_sel'])
-  return ana.SummedFactory('TTT_for_ZTT'+add_name, samples, plot, full_selection)
-
-
-
-
-def GetTTJNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True):
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'  
-  full_selection = BuildCutString(wt, sel, cat, OSSS, top_sels['ttj_sel'])
-  return ana.SummedFactory('TTJ'+add_name, samples, plot, full_selection)
-
-
-def GenerateTop(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', top_sels={}, get_os=True, doTTT=True, doTTJ=True):
-  wt_=wt#+"*wt_tquark_down"
-  if doTTT:
-      ttt_node = GetTTTNode(ana, add_name, samples, plot, wt_, sel, cat, top_sels, get_os)
-      ana.nodes[nodename].AddNode(ttt_node)
-      if options.embedding:
-        ttt_for_ztt_node = GetTTTforZTTNode(ana, add_name, samples, plot, wt_, sel, cat, top_sels, get_os)
-        ana.nodes[nodename].AddNode(ttt_for_ztt_node)
-
-
-      if split_taus:
-       ttt_node_rho = GetTTTNode(ana, '_rho'+add_name, samples, plot, wt_, sel+'&&tauFlag_2==1', cat, top_sels, get_os)
-       ana.nodes[nodename].AddNode(ttt_node_rho)
-       ttt_node_a1 = GetTTTNode(ana, '_a1'+add_name, samples, plot, wt_, sel+'&&tauFlag_2==2', cat, top_sels, get_os)
-       ana.nodes[nodename].AddNode(ttt_node_a1)
-       ttt_node_pi = GetTTTNode(ana, '_pi'+add_name, samples, plot, wt_, sel+'&&tauFlag_2==0', cat, top_sels, get_os)
-       ana.nodes[nodename].AddNode(ttt_node_pi)
-       ttt_node_other = GetTTTNode(ana, '_other'+add_name, samples, plot, wt_, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, top_sels, get_os)
-       ana.nodes[nodename].AddNode(ttt_node_other)
-
-
-  if doTTJ:
-      ttj_node = GetTTJNode(ana, add_name, samples, plot, wt_, sel, cat, top_sels, get_os)
-      ana.nodes[nodename].AddNode(ttj_node)
-
-
-def GetVVTNode(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True): 
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'  
-  full_selection = BuildCutString(wt, sel, cat, OSSS, vv_sels['vvt_sel'])
-  return ana.SummedFactory('VVT'+add_name, samples, plot, full_selection)
-
-
-def GetVVTforZTTNode(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True):
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'
-  full_selection = BuildCutString(wt, sel, cat, OSSS, vv_sels['vvt_ztt_sel'])
-  return ana.SummedFactory('VVT_for_ZTT'+add_name, samples, plot, full_selection)
-
-
-
-
-def GetVVJNode(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True): 
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'  
-  full_selection = BuildCutString(wt, sel, cat, OSSS, vv_sels['vvj_sel'])
-  return ana.SummedFactory('VVJ'+add_name, samples, plot, full_selection)
-
-
-def GenerateVV(ana, add_name ='', samples=[], plot='', wt='', sel='', cat='', vv_sels={}, get_os=True, doVVT=True, doVVJ=True): 
-  if doVVT:
-      vvt_node = GetVVTNode(ana, add_name, samples, plot, wt, sel, cat, vv_sels, get_os)
-      ana.nodes[nodename].AddNode(vvt_node)
-      if options.embedding:
-        vvt_for_ztt_node = GetVVTforZTTNode(ana, add_name, samples, plot, wt, sel, cat, vv_sels, get_os)
-        ana.nodes[nodename].AddNode(vvt_for_ztt_node)
-      if split_taus:
-       vvt_node_rho = GetVVTNode(ana, '_rho'+add_name, samples, plot, wt, sel+'&&tauFlag_2==1', cat, vv_sels, get_os)
-       ana.nodes[nodename].AddNode(vvt_node_rho)
-       vvt_node_a1 = GetVVTNode(ana, '_a1'+add_name, samples, plot, wt, sel+'&&tauFlag_2==2', cat, vv_sels, get_os)
-       ana.nodes[nodename].AddNode(vvt_node_a1)
-       vvt_node_pi = GetVVTNode(ana, '_pi'+add_name, samples, plot, wt, sel+'&&tauFlag_2==0', cat, vv_sels, get_os)
-       ana.nodes[nodename].AddNode(vvt_node_pi)
-       vvt_node_other = GetVVTNode(ana, '_other'+add_name, samples, plot, wt, sel+'&&(tauFlag_2<0 || tauFlag_2>2)', cat, vv_sels, get_os)
-       ana.nodes[nodename].AddNode(vvt_node_other)
-
-
-  if doVVJ:
-      vvj_node = GetVVJNode(ana, add_name, samples, plot, wt, sel, cat, vv_sels, get_os)
-      ana.nodes[nodename].AddNode(vvj_node)
-      
-def GetWGNode(ana, add_name='', samples=[], plot='', wt='', sel='', cat='', get_os=True):
-  if get_os:
-      OSSS = 'os'
-  else:
-      OSSS = '!os'   
-  full_selection = BuildCutString(wt, sel, cat, OSSS)
-  wg_node = ana.SummedFactory('WGam'+add_name, samples, plot, full_selection)
-  return wg_node
-
-
-def GetWNode(ana, name='W', samples=[], data=[], plot='',plot_unmodified='', wt='', sel='', cat='', cat_data='', method=8, qcd_factor=qcd_os_ss_ratio, get_os=True):
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'
-  full_selection = BuildCutString(wt, sel, cat, OSSS, '')
-  if cats['w_shape'] != '': shape_cat = cats['w_shape']
-  else: shape_cat = cat
-  if method == 14:
-      shape_cat = '(n_jets<=1 && n_loose_bjets>=1)*('+cats['baseline']+')'
-  shape_selection = BuildCutString(wt, sel, shape_cat, OSSS, '')
-  
-  if method in [0, 8, 9, 15, 19]:
-      w_node = ana.SummedFactory(name, samples, plot, full_selection)
-  elif method in [10, 11]:
-      control_sel = cats['w_sdb']+' && '+ OSSS
-      w_control_full_selection = BuildCutString(wt, control_sel, cat, OSSS)
-      w_control_full_selection_data = BuildCutString(wt, control_sel, cat_data, OSSS)
-      subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,True,False) 
-      if shape_selection == full_selection:
-          w_shape = None
-      else:    
-          w_shape = ana.SummedFactory('w_shape', samples, plot, shape_selection)
-      w_node = HttWNode(name,
-        ana.SummedFactory('data_obs', data, plot_unmodified, w_control_full_selection_data),
-        subtract_node,
-        ana.SummedFactory('W_cr', samples, plot, w_control_full_selection),
-        ana.SummedFactory('W_sr', samples, plot, full_selection),
-        w_shape)
-  elif method in [12, 13, 14, 16, 23]:
-      if method == 16:
-          cat_nobtag = '('+cats['btag_wnobtag']+')*('+cats['baseline']+')'
-          cat_nobtag_data = '('+cats_unmodified['btag_wnobtag']+')*('+cats_unmodified['baseline']+')'
-          full_selection = BuildCutString(wt, sel, cat_nobtag, OSSS)
-          ss_selection = BuildCutString(wt, '', cat_nobtag, '!os', '')
-          os_selection = BuildCutString(wt, '', cat_nobtag, 'os', '')
-          control_sel = cats['w_sdb']
-          w_control_full_selection = BuildCutString(wt, control_sel, cat_nobtag, OSSS)
-          w_control_full_selection_os = BuildCutString(wt, control_sel, cat_nobtag)
-          w_control_full_selection_ss = BuildCutString(wt, control_sel, cat_nobtag, '!os')
-          w_control_full_selection_os_data = BuildCutString(wt, control_sel, cat_nobtag_data)
-          w_control_full_selection_ss_data = BuildCutString(wt, control_sel, cat_nobtag_data, '!os')
-          btag_extrap_sel_num = BuildCutString(wt, sel, cat, OSSS, '')
-          btag_extrap_sel_den = BuildCutString(wt, sel, cat_nobtag, OSSS, '')
-          btag_extrap_num_node = ana.SummedFactory('btag', samples, plot, btag_extrap_sel_num)
-          btag_extrap_den_node = ana.SummedFactory('no_btag', samples, plot, btag_extrap_sel_den)
-          subtract_node_os = GetSubtractNode(ana,'_os',plot,plot_unmodified,wt,control_sel,cat_nobtag,cat_nobtag_data,method,qcd_os_ss_ratio,True,False) 
-          subtract_node_ss = GetSubtractNode(ana,'_ss',plot,plot_unmodified,wt,control_sel,cat_nobtag,cat_nobtag_data,method,qcd_os_ss_ratio,False,False)
-      elif method == 23:
-          cat_nopt = '('+cats['dijet_lowboost']+')*('+cats['baseline']+')'
-          cat_nopt_data = '('+cats_unmodified['dijet_lowboost']+')*('+cats_unmodified['baseline']+')'
-          full_selection = BuildCutString(wt, sel, cat_nopt, OSSS)
-          ss_selection = BuildCutString(wt, '', cat_nopt, '!os', '')
-          os_selection = BuildCutString(wt, '', cat_nopt, 'os', '')
-          control_sel = cats['w_sdb']
-          w_control_full_selection = BuildCutString(wt, control_sel, cat_nopt, OSSS)
-          w_control_full_selection_os = BuildCutString(wt, control_sel, cat_nopt)
-          w_control_full_selection_ss = BuildCutString(wt, control_sel, cat_nopt, '!os')
-          w_control_full_selection_os_data = BuildCutString(wt, control_sel, cat_nopt_data)
-          w_control_full_selection_ss_data = BuildCutString(wt, control_sel, cat_nopt_data, '!os')
-          btag_extrap_sel_num = BuildCutString(wt, sel, cat, OSSS, '')
-          btag_extrap_sel_den = BuildCutString(wt, sel, cat_nopt, OSSS, '')
-          btag_extrap_num_node = ana.SummedFactory('btag', samples, plot, btag_extrap_sel_num)
-          btag_extrap_den_node = ana.SummedFactory('no_btag', samples, plot, btag_extrap_sel_den)
-          subtract_node_os = GetSubtractNode(ana,'_os',plot,plot_unmodified,wt,control_sel,cat_nopt,cat_nopt_data,method,qcd_os_ss_ratio,True,False) 
-          subtract_node_ss = GetSubtractNode(ana,'_ss',plot,plot_unmodified,wt,control_sel,cat_nopt,cat_nopt_data,method,qcd_os_ss_ratio,False,False)    
-      else:
-          full_selection = BuildCutString(wt, sel, cat, OSSS)
-          ss_selection = BuildCutString(wt, '', cat, '!os', '')
-          os_selection = BuildCutString(wt, '', cat, 'os', '')
-          control_sel = cats['w_sdb']
-          w_control_full_selection = BuildCutString(wt, control_sel, cat, OSSS)
-          w_control_full_selection_os = BuildCutString(wt, control_sel, cat)
-          w_control_full_selection_ss = BuildCutString(wt, control_sel, cat, '!os')
-          w_control_full_selection_os_data = BuildCutString(wt, control_sel, cat_data)
-          w_control_full_selection_ss_data = BuildCutString(wt, control_sel, cat_data, '!os')
-          btag_extrap_num_node = None
-          btag_extrap_den_node = None
-          subtract_node_os = GetSubtractNode(ana,'_os',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,True,False) 
-          subtract_node_ss = GetSubtractNode(ana,'_ss',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,False,False)
-          
-      if shape_selection == full_selection:
-          w_shape = None
-      else:    
-          w_shape = ana.SummedFactory('w_shape', samples, plot, shape_selection)
-      w_node = HttWOSSSNode(name,
-        ana.SummedFactory('data_os', data, plot_unmodified, w_control_full_selection_os_data),
-        subtract_node_os,
-        ana.SummedFactory('data_ss', data, plot_unmodified, w_control_full_selection_ss_data),
-        subtract_node_ss,
-        ana.SummedFactory('W_cr', samples, plot, w_control_full_selection),
-        ana.SummedFactory('W_sr', samples, plot, full_selection),
-        ana.SummedFactory('W_os', samples, plot, os_selection),
-        ana.SummedFactory('W_ss', samples, plot, ss_selection),
-        w_shape,
-        qcd_factor,
-        get_os,
-        btag_extrap_num_node,
-        btag_extrap_den_node) 
-      
-  elif method in [21,22,24,25]:
-    control_sel = cats['w_sdb']+' && '+ OSSS
-    w_control_full_selection = BuildCutString(wt, control_sel, cat, OSSS)
-    w_control_full_selection_data = BuildCutString(wt, control_sel, cat_data, OSSS)
-    data_node=ana.SummedFactory('data_obs', data, plot_unmodified, w_control_full_selection_data)
-    subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,control_sel,cat,cat_data,method,qcd_os_ss_ratio,True,False) 
-    
-    qcd_subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,cats['w_sdb'],cat,cat_data,8,qcd_os_ss_ratio,False,True)
-    qcd_control_full_selection = BuildCutString(wt, cats['w_sdb'], cat, '!os')
-    qcd_control_full_selection_data = BuildCutString(wt, cats['w_sdb'], cat_data, '!os')
-    qcd_node = HttQCDNode('QCD'+add_name,
-      ana.SummedFactory('data_ss', data, plot_unmodified, qcd_control_full_selection_data),
-      qcd_subtract_node,
-      qcd_factor,
-      None)
-    
-    subtract_node.AddNode(qcd_node)
-    
-    if shape_selection == full_selection: w_shape = None
-    else: w_shape = ana.SummedFactory('w_shape', samples, plot, shape_selection)
-    
-    if method in [22]:
-      data_node = None
-      wsf_num = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 21, qcd_factor, True)
-      wsf_denum = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 8, qcd_factor, True)
-    if method in [24]:
-      data_node = None
-      cat_nopt = '('+cats['dijet']+')*('+cats['baseline']+')'
-      cat_nopt_data = '('+cats_unmodified['dijet_lowboost']+')*('+cats_unmodified['baseline']+')'
-      wsf_num = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 8, qcd_factor, True)
-      wsf_denum = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat_nopt, cat_nopt_data, 8, qcd_factor, True)  
-    if method in [25]:
-      data_node = None
-      wsf_num = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 24, qcd_factor, True)
-      wsf_denum = GetWNode(ana, name, samples, data, plot,plot_unmodified, wt, sel, cat, cat_data, 8, qcd_factor, True)   
-    else:
-      wsf_num = None
-      wsf_denum = None    
-    
-    w_node = HttWNode(name,
-      data_node,
-      subtract_node,
-      ana.SummedFactory('W_cr', samples, plot, w_control_full_selection),
-      ana.SummedFactory('W_sr', samples, plot, full_selection),
-      w_shape,
-      wsf_num,
-      wsf_denum)
-  return w_node
-
-
-def GenerateW(ana, add_name='', samples=[], data=[], wg_samples=[], plot='', plot_unmodified='', wt='', sel='', cat='', cat_data='', method=8, qcd_factor=qcd_os_ss_ratio, get_os=True):
-  w_node_name = 'W'  
-  if options.channel == 'em':
-      w_total_node = SummedNode('W'+add_name)
-      w_total_node.AddNode(GetWGNode(ana, add_name, wg_samples, plot, wt, sel, cat, get_os))
-      ana.nodes[nodename].AddNode(GetWGNode(ana, add_name, wg_samples, plot, wt, sel, cat, get_os))
-      w_node_name+='J'
-  ana.nodes[nodename].AddNode(GetWNode(ana, w_node_name+add_name, samples, data, plot, plot_unmodified, wt, sel, cat, cat_data, method, qcd_factor, get_os))
-  if options.channel == 'em':
-      w_total_node.AddNode(GetWNode(ana, w_node_name+add_name, samples, data, plot, plot_unmodified, wt, sel, cat, cat_data, method, qcd_factor, get_os))
-      ana.nodes[nodename].AddNode(w_total_node)
-
-
-def GetSubtractNode(ana,add_name,plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,OSSS,includeW=False,w_shift=None):
-  subtract_node = SummedNode('total_bkg'+add_name)
-  if includeW and options.era!='22':
-      if w_shift is not None: w_wt = '%s*%f' %(wt,w_shift)
-      else: w_wt = wt
-      w_node = GetWNode(ana, 'W', wjets_samples, data_samples, plot, plot_unmodified, w_wt, sel, cat, cat_data,method, qcd_os_ss_ratio, OSSS)
-      subtract_node.AddNode(w_node)
-  ttt_node = GetTTTNode(ana, "", top_samples, plot, wt, sel, cat, top_sels, OSSS)
-  ttj_node = GetTTJNode(ana, "", top_samples, plot, wt, sel, cat, top_sels, OSSS)
-  vvt_node = GetVVTNode(ana, "", vv_samples, plot, wt, sel, cat, vv_sels, OSSS)
-  vvj_node = GetVVJNode(ana, "", vv_samples, plot, wt, sel, cat, vv_sels, OSSS)
-  subtract_node.AddNode(ttt_node)
-  subtract_node.AddNode(ttj_node)
-  subtract_node.AddNode(vvt_node)
-  subtract_node.AddNode(vvj_node)
-  if options.embedding and options.channel != 'zmm': 
-    embed_node = GetEmbeddedNode(ana, "", embed_samples, plot, wt, sel, cat, z_sels, OSSS)
-    subtract_node.AddNode(embed_node)
-  else:
-    ztt_node = GetZTTNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
-    subtract_node.AddNode(ztt_node)
-  if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','tauid2016','tauid2017','cpsummer17','UL_17','cp18','UL_18','mvadm2016'] and options.method!=0: 
-    ewkz_node = GetEWKZNode(ana, "", ewkz_samples, plot, wt, sel, cat, z_sels, OSSS)
-    subtract_node.AddNode(ewkz_node)
-  if options.channel not in ["em"]:
-      zl_node = GetZLNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
-      zj_node = GetZJNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
-      subtract_node.AddNode(zl_node)
-      subtract_node.AddNode(zj_node)
-  if options.channel in ["em"]:
-      zll_node = GetZLLNode(ana, "", ztt_samples, plot, wt, sel, cat, z_sels, OSSS)
-      subtract_node.AddNode(zll_node)
-  if options.channel == "em":
-      wg_node = GetWGNode(ana, "", wgam_samples, plot, wt, sel, cat, OSSS)
-      subtract_node.AddNode(wg_node)
-  #print(subtract_node.shape)
-  return subtract_node
-      
-def GenerateQCD(ana, add_name='', data=[], plot='', plot_unmodified='', wt='', sel='', cat='', cat_data='', method=8, qcd_factor=qcd_os_ss_ratio, get_os=True,w_shift=None):
-    shape_node = None
-    OSSS = "!os"
-    if get_os: OSSS = "os"
-    if method == 0:
-        subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,8,1.0,get_os,True)
-        full_selection = BuildCutString(wt, sel, cat_data, OSSS)
-        ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
-          ana.SummedFactory('data', data, plot_unmodified, full_selection),
-          subtract_node,
-          1.0))
-        return
-
-
-    if options.channel != 'tt':
-        sub_shift='*1.0'
-        if 'qcd_sub_up' in systematic: sub_shift = '*1.1'
-        if 'qcd_sub_down' in systematic: sub_shift = '*0.9'
-        if method in [9, 11, 13, 14]:
-            if method in [9, 11, 13]: 
-              shape_cat = '('+cats[options.cat]+')*('+cats['qcd_loose_shape']+')'
-              shape_cat_data = '('+cats_unmodified[options.cat]+')*('+cats_unmodified['qcd_loose_shape']+')'
-            elif method == 14:
-                shape_cat = '(n_jets<=1 && n_loose_bjets>=1)*('+cats['baseline']+')'
-                shape_cat_data = '(n_jets<=1 && n_loose_bjets>=1)*('+cats_unmodified['baseline']+')'
-            shape_selection = BuildCutString(wt, sel, shape_cat_data, '!os')
-            subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_shift,sel,shape_cat,shape_cat_data,method,qcd_os_ss_ratio,False,True)  
-            shape_node = SubtractNode('shape', ana.SummedFactory('data_ss', data, plot_unmodified, shape_selection), subtract_node)
-        
-        #if options.channel == 'em': qcd_os_ss_factor = 1
-        qcd_os_ss_factor = qcd_factor
-        weight = wt
-        if method in [15,19]:
-            #qcd_os_ss_factor = 1
-            if get_os and options.channel == "em":
-                weight = wt+'*wt_em_qcd' 
-                #if options.era in ['cpsummer16','cpdecay16',"legacy16",'mvadm2016']: weight+='*wt_em_qcd_extrapup'
-            if options.em_qcd_weight != '':
-                weight=wt+'*'+options.em_qcd_weight
-            if method == 19:
-                shape_selection = BuildCutString(weight, sel, cats_unmodified['em_shape_cat'], '!os')
-                subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight+sub_shift,sel,cats['em_shape_cat'],cats_unmodified['em_shape_cat'],method,1,False,True)
-                shape_node = SubtractNode('shape', ana.SummedFactory('data_ss',data, plot_unmodified, shape_selection), subtract_node)
-             
-        if cats['qcd_shape'] != "" or (w_shift is not None and w_shift!=1.0):
-            add_shape = False
-            if cats['qcd_shape'] == '': shape_cat = cat
-            else: 
-              shape_cat = cats['qcd_shape']
-              add_shape = True
-            if cats['qcd_shape'] == '': shape_cat_data = cat_data
-            else: 
-              shape_cat_data = cats_unmodified['qcd_shape']
-              add_shape = True
-            if add_shape:
-              shape_selection = BuildCutString(weight, sel, shape_cat_data, '!os')
-              if method == 21: subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,shape_cat,shape_cat_data,22,1,False,True,w_shift)
-              else: subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,shape_cat,shape_cat_data,method,1,False,True,w_shift)
-              shape_node = SubtractNode('shape', ana.SummedFactory('data_ss',data, plot_unmodified, shape_selection), subtract_node)
-            else: shape_node = None
-        
-        full_selection = BuildCutString(weight, sel, cat_data, '!os')
-        if method == 21: 
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,cat,cat_data,22,qcd_os_ss_ratio,False,True)
-        elif method == 24: 
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,cat,cat_data,25,qcd_os_ss_ratio,False,True)  
-        else: subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight+sub_shift,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)
-        if get_os: qcd_ratio = qcd_os_ss_factor
-        else: qcd_ratio = 1.0
-        ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
-          ana.SummedFactory('data_ss', data, plot_unmodified, full_selection),
-          subtract_node,
-          qcd_ratio,
-          shape_node))
-        
-    else:
-        if method == 8:
-          qcd_sdb_cat = cats[options.cat]+' && '+cats['tt_qcd_norm'] 
-          qcd_sdb_cat_data = cats_unmodified[options.cat]+' && '+cats_unmodified['tt_qcd_norm']
-          
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)        
-          num_selection = BuildCutString(wt, sel, cat_data, '!os')
-          num_node = SubtractNode('ratio_num',
-                       ana.SummedFactory('data', data, plot_unmodified, num_selection),
-                       subtract_node)
-          if options.analysis == 'mssmsummer16': tau_id_wt = 'wt_tau2_id_loose'
-          else: tau_id_wt = '1'
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,False,True)
-          den_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, '!os')
-          den_node = SubtractNode('ratio_den',
-                       ana.SummedFactory('data', data, plot_unmodified, den_selection),
-                       subtract_node)
-          shape_node = None   
-          full_selection = BuildCutString(wt, sel, qcd_sdb_cat_data, OSSS)
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt+'*'+tau_id_wt,sel,qcd_sdb_cat,qcd_sdb_cat_data,method,qcd_os_ss_ratio,get_os,True)
-  
-          ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
-            ana.SummedFactory('data', data, plot_unmodified, full_selection),
-            subtract_node,
-            1,
-            shape_node,
-            num_node,
-            den_node))
-        if method == 9:
-          #osss = '(3.68434 -1.8015*dR + 0.488955*dR*dR -0.0489159*dR*dR*dR)' # this line to be inclusive by decay mode
-          osss = '((tau_decay_mode_1<2&&tau_decay_mode_2<2)*(3.555-1.689*dR+0.4741*dR*dR-0.04973*dR*dR*dR) + ((tau_decay_mode_1<2&&tau_decay_mode_2>9)||(tau_decay_mode_1>9&&tau_decay_mode_2<2))*(2.851-1.008*dR+0.2374*dR*dR-0.02331*dR*dR*dR) + (tau_decay_mode_1>9&&tau_decay_mode_2>9)*(3.391-2.21*dR+0.7623*dR*dR-0.08775*dR*dR*dR))'
-          weight = wt
-          if get_os:
-              weight = wt+'*'+osss
-          full_selection = BuildCutString(weight, sel, cat_data, '!os')
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,weight,sel,cat,cat_data,method,qcd_os_ss_ratio,False,True)
-          ana.nodes[nodename].AddNode(HttQCDNode('QCD'+add_name,
-          ana.SummedFactory('data_ss', data, plot_unmodified, full_selection),
-          subtract_node,
-          1.0,
-          None))
-            
-        
-def GenerateFakeTaus(ana, add_name='', data=[], plot='',plot_unmodified='', wt='', sel='', cat_name='',get_os=True,ff_syst_weight=None):
-
-
-    if get_os:
-        OSSS = 'os'
-    else:
-        OSSS = '!os'
-
-
-    sub_wt=''
-    if 'sub_syst' in add_name and 'Up' in add_name: sub_wt='*1.1'
-    if 'sub_syst' in add_name and 'Down' in add_name: sub_wt='*0.9'
-
-
-    wp = options.wp
-    # Select data from anti-isolated region
-    if options.channel != "tt":
-        if options.channel == 'mt':
-            if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
-              anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
-            else: 
-              anti_isolated_sel = '(iso_1<0.15 && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singlemuon)'
-        elif options.channel == 'et': 
-            if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
-              anti_isolated_sel = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
-            else: 
-              anti_isolated_sel = '(iso_1<0.1  && mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5 && antiele_2 && antimu_2 && !leptonveto && trg_singleelectron)'
-        ff_cat = cats[cat_name] +" && "+ anti_isolated_sel
-        ff_cat_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel
-        if options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','mvadm2016','cp18','UL_18','22']:
-          if ff_syst_weight is not None and 'sub_syst' not in add_name: fake_factor_wt_string = '('+ff_syst_weight+'_1)'
-          else:
-            if options.analysis in ['cpprod']: 
-              fake_factor_wt_string = "wt_ff_us_1"
-              fake_factor_wt_string = "wt_ff_dmbins_1"
-            elif options.analysis in ['mssmrun2','vlq']:
-              #if options.w_ff_closure or options.qcd_ff_closure:
-                #json_name = 'scripts/ff_strings.json'
-                #with open(json_name) as json_file:
-                  #ff_dict = json.load(json_file)
-              if options.w_ff_closure:
-                fake_factor_wt_string = "wt_ff_mssm_wjets_1"
-                if options.ml_ff: fake_factor_wt_string = "wt_ff_reweight_wjets_dr_1"
-                #fake_factor_wt_string = RawFFFromString(ff_dict[options.channel][options.year]['wjets'])
-                #fake_factor_wt_string = ff_dict[options.channel][options.year]['wjets']
-              elif options.qcd_ff_closure:
-                fake_factor_wt_string = "wt_ff_mssm_qcd_1"
-                if options.ml_ff: fake_factor_wt_string = "wt_ff_reweight_qcd_raw_1"
-                #fake_factor_wt_string = ff_dict[channel][year]['qcd']
-              else:
-                fake_factor_wt_string = "wt_ff_mssm_1"
-                if options.ml_ff: fake_factor_wt_string = "((wt_ff_reweight_qcd_1*ff_frac_mssm_qcd) + (wt_ff_reweight_wjets_1*ff_frac_mssm_wjets) + (wt_ff_reweight_ttbar_1*ff_frac_mssm_ttbar))"
-
-
-            else: fake_factor_wt_string = "wt_ff_1"
-        else:
-          if ff_syst_weight is not None: fake_factor_wt_string = ff_syst_weight
-          else: fake_factor_wt_string = "wt_ff_"+options.cat
-          fake_factor_wt_string+='*wt_tau_id_loose'
-        if wt is not "": wt+="*"+fake_factor_wt_string
-        else: wt=fake_factor_wt_string
-
-
-        full_selection = BuildCutString(wt, sel, ff_cat_data, OSSS, '')
-        # Calculate FF for anti-isolated data (f1) then subtract contributions from real taus (f2)
-        f1 = ana.SummedFactory('data', data, plot_unmodified, full_selection)
-
-
-        if (not options.w_ff_closure and not options.qcd_ff_closure) or options.ml_ff:
-          f2 = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel+'&&(gen_match_2<6)',ff_cat,ff_cat_data,8,1.0,get_os,True)
-        elif options.qcd_ff_closure and not options.ml_ff:
-          f2 = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel,ff_cat,ff_cat_data,8,1,get_os,True)
-        elif options.w_ff_closure and not options.ml_ff:
-          f2 = GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel,ff_cat,ff_cat_data,8,1,get_os,False)
-          full_selection_ss = BuildCutString(wt, sel, ff_cat_data, '!os', '')
-          qcd_node =  SubtractNode('qcd', ana.SummedFactory('data', data, plot_unmodified, full_selection_ss), GetSubtractNode(ana,'',plot,plot_unmodified,wt+sub_wt,sel,ff_cat,ff_cat_data,12,1.0,False,True))
-          f2.AddNode(qcd_node)
-        ana.nodes[nodename].AddNode(SubtractNode('jetFakes'+add_name, f1, f2))
-
-
-    if options.channel == 'tt':
-        anti_isolated_sel_1 = '(mva_olddm_medium_1<0.5 && mva_olddm_vloose_1>0.5 && mva_olddm_medium_2>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
-        anti_isolated_sel_2 = '(mva_olddm_medium_2<0.5 && mva_olddm_vloose_2>0.5 && mva_olddm_medium_1>0.5 && antiele_1 && antimu_1 && antiele_2 && antimu_2 && !leptonveto)'
-        if options.era == "mssmsummer16": 
-          anti_isolated_sel_1 +=" && trg_doubletau"
-          anti_isolated_sel_2 +=" && trg_doubletau"
-        if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"mvadm2016"]:
-          anti_isolated_sel_1 = cats['baseline'].replace('mva_olddm_tight_1>0.5','mva_olddm_tight_1<0.5 && mva_olddm_vloose_1>0.5')
-          anti_isolated_sel_2 = cats['baseline'].replace('mva_olddm_tight_2>0.5','mva_olddm_tight_2<0.5 && mva_olddm_vloose_2>0.5')
-        if options.era in ["cpsummer17",'UL_17',"cp18",'UL_18','cpdecay16','legacy16','UL_16_preVFP','UL_16_postVFP','22']: # need to do also for MVA cats for 2016!
-          anti_isolated_sel_2 = cats['baseline'].replace('deepTauVsJets_%(wp)s_2>0.5' % vars(),'deepTauVsJets_%(wp)s_2<0.5 && deepTauVsJets_vvvloose_2>0.5' % vars())
-          anti_isolated_sel_1 = cats['baseline'].replace('deepTauVsJets_%(wp)s_1>0.5' % vars(),'deepTauVsJets_%(wp)s_1<0.5 && deepTauVsJets_vvvloose_1>0.5' % vars())
-        ff_cat_1 = cats[cat_name] +" && "+ anti_isolated_sel_1
-        ff_cat_2 = cats[cat_name] +" && "+ anti_isolated_sel_2
-        ff_cat_1_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel_1
-        ff_cat_2_data = cats_unmodified[cat_name] +" && "+ anti_isolated_sel_2
-        if ff_syst_weight is not None and 'sub_syst' not in add_name: 
-            fake_factor_wt_string_1 = '('+ff_syst_weight+'_1)'
-            fake_factor_wt_string_2 = ff_syst_weight+'_2'
-
-
-#wt_ff_dmbins_qcd_syst_down
-            if options.analysis in ['cpprod'] and 'ff_tt_qcd_syst' in add_name:
-              flat = 1.04
-              if (options.era=='cpsummer17' or options.era == 'UL_17'): flat=1.07
-              if (options.era=='cp18'or options.era == 'UL_18'): flat=1.06
-              if (options.era=='22'): flat=1.06
-
-
-              if 'njets0' in add_name:
-                if 'Up' in add_name:
-                  ff_syst_weight = '((n_jets==0)*wt_ff_dmbins_qcd_syst_down_1*%(flat)s + (n_jets>0)*wt_ff_dmbins_1)' % vars()
-                if 'Down' in add_name:
-                  ff_syst_weight = '((n_jets==0)*(2*wt_ff_dmbins_1-wt_ff_dmbins_qcd_syst_down_1*%(flat)s) + (n_jets>0)*wt_ff_dmbins_1)' % vars()
-              elif 'njets1' in add_name:
-                if 'Up' in add_name:
-                  ff_syst_weight = '((n_jets==0)*wt_ff_dmbins_1 + (n_jets>0)*wt_ff_dmbins_qcd_syst_down_1*%(flat)s)' % vars()
-                if 'Down' in add_name:
-                  ff_syst_weight = '((n_jets==0)*wt_ff_dmbins_1 + (n_jets>0)*(2*wt_ff_dmbins_1-wt_ff_dmbins_qcd_syst_down_1*%(flat)s))' % vars()
-
-
-              fake_factor_wt_string_1 = ff_syst_weight
-
-
-
-
-            if options.analysis in ['cpdecay'] and 'ff_tt_qcd_syst' in add_name:
-              if(options.era=='22'):
-                if 'njets0' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0))*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0))*wt_ff_1' 
-                elif 'njets1' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1' 
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
-                else: 
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1'     
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
-                                  
-              if(options.era=='cp18' or options.era == 'UL_18'):
-                if 'njets0' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0))*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0))*wt_ff_1' 
-                elif 'njets1' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1' 
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
-                else: 
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.24845-0.0578994*dR)/1.06 + (n_jets>0)*(1.15364-0.0317013*dR)/1.06)*wt_ff_1'     
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.24845-0.0578994*dR)*1.06 + (n_jets>0)/(1.15364-0.0317013*dR)*1.06)*wt_ff_1'
-
-
-              if (options.era=='cpsummer17' or options.era == 'UL_17'):
-                if 'njets0' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.40415-0.101317*dR)/1.07 + (n_jets>0))*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.40415-0.101317*dR)*1.07 + (n_jets>0))*wt_ff_1'
-                elif 'njets1' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.16253-0.031154*dR)/1.07)*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.16253-0.031154*dR)*1.07)*wt_ff_1'
-                else:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.40415-0.101317*dR)/1.07 + (n_jets>0)*(1.16253-0.031154*dR)/1.07)*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.40415-0.101317*dR)*1.07 + (n_jets>0)/(1.16253-0.031154*dR)*1.07)*wt_ff_1'
-
-
-              if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
-                if 'njets0' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.22618-0.0546679*dR)/1.04 + (n_jets>0))*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.22618-0.0546679*dR)*1.04 + (n_jets>0))*wt_ff_1'
-                elif 'njets1' in add_name:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)*(1.09292-0.0200048*dR)/1.04)*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0) + (n_jets>0)/(1.09292-0.0200048*dR)*1.04)*wt_ff_1'
-                else:
-                  if 'Up' in add_name:
-                    ff_syst_weight = '((n_jets==0)*(1.22618-0.0546679*dR)/1.04 + (n_jets>0)*(1.09292-0.0200048*dR)/1.04)*wt_ff_1'
-                  if 'Down' in add_name:
-                    ff_syst_weight = '((n_jets==0)/(1.22618-0.0546679*dR)*1.04 + (n_jets>0)/(1.09292-0.0200048*dR)*1.04)*wt_ff_1'
-              fake_factor_wt_string_1 = ff_syst_weight
-
-
-            if options.analysis in ['cpprod','cpdecay','mssmrun2','vlq']:
-              fake_factor_wt_string_2='0'
-        else:
-          if options.era in ["smsummer16","cpsummer16","cpdecay16","legacy16",'UL_16_preVFP','UL_16_postVFP',"cpsummer17",'UL_17',"mvadm2016","cp18",'UL_18','22']:
-            # deep tau tight 2018 anti isolating the subleading tau
-            if options.analysis == 'cpprod':
-              fake_factor_wt_string_2='0'
-              fake_factor_wt_string_1 = "wt_ff_dmbins_1"
-            elif options.analysis == 'cpdecay':
-              fake_factor_wt_string_2='0'
-              fake_factor_wt_string_1 = "wt_ff_1"
-            elif options.analysis in ['mssmrun2','vlq']:
-              fake_factor_wt_string_2='0'
-              if options.wp == 'medium':
-                fake_factor_wt_string_1 = "wt_ff_mssm_1"
-                #fake_factor_wt_string_1 = "wt_ff_mssm_qcd_syst_down_1" # change back afterwards!!!!
-                if options.ml_ff:
-                  fake_factor_wt_string_1 = "0.5*wt_ff_reweight_qcd_1*((os==0) + (wt_ff_reweight_qcd_dr_to_ar_1*(os==1)))"
-                  fake_factor_wt_string_2 = "0.5*wt_ff_reweight_qcd_2*((os==0) + (wt_ff_reweight_qcd_dr_to_ar_2*(os==1)))"
-              elif options.wp == 'tight':
-                fake_factor_wt_string_1 = "wt_ff_mssm_tight_1"
-                #fake_factor_wt_string_1 = '((n_prebjets==0 && jet_pt_1<1.25*pt_1)*((pt_1<200)*(15.4087*TMath::Landau(min(pt_1,199.),-15.7496,4.82075)+0.0870211) + (pt_1>=200)*0.27557) + (n_prebjets==0 && jet_pt_1>=1.25*pt_1&&jet_pt_1<1.5*pt_1)*((pt_1<200)*(-411615*TMath::Landau(min(pt_1,199.),-110.218,-14.0548)+0.084284) + (pt_1>=200)*0.28273) + (n_prebjets==0 &&jet_pt_1>=1.5*pt_1)*(0.0392299) + (n_prebjets>0&&jet_pt_1<1.25*pt_1)*((pt_1<200)*(11.7652*TMath::Landau(min(pt_1,199.),-12.9921,5.06968)+0.077124) + (pt_1>=200)*0.13219) + (n_prebjets>0&&jet_pt_1>=1.25*pt_1&&jet_pt_1<1.5*pt_1)*((pt_1<200)*(144.787*TMath::Landau(min(pt_1,199.),14.249,0.467844)+0.0529324) + (pt_1>=200)*0.07516) + (n_prebjets>0&&jet_pt_1>=1.5*pt_1)*(-51.0159*TMath::Landau(min(pt_1,199.),-142.619,-346.505)+0.0294523))*((n_deepbjets==0)*((0.950911+-0.05705*min(dR,5.)+0.0159116*pow(min(dR,5.),2)+0.00199494*pow(min(dR,5.),3))) + (n_deepbjets>0)*((2.53701+-2.23664*min(dR,5.)+0.87535*pow(min(dR,5.),2)+-0.101159*pow(min(dR,5.),3))))'
-
-
-          else:    
-            fake_factor_wt_string_1 = "wt_ff_"+options.cat+"_1"
-            fake_factor_wt_string_2 = "wt_ff_"+options.cat+"_2"
-            fake_factor_wt_string_1+='*wt_tau1_id_loose'
-            fake_factor_wt_string_2+='*wt_tau2_id_loose'
-        if wt is not "": 
-            wt_1=wt+"*"+fake_factor_wt_string_1
-            wt_2=wt+"*"+fake_factor_wt_string_2
-        else: 
-            wt_1=fake_factor_wt_string_1
-            wt_2=fake_factor_wt_string_2
-        
-        if options.analysis == 'cpdecay' and get_os:
-          if (options.era=='cp18' or options.era == 'UL_18'):
-            fake_factor_wt_string_1+='*wt_ff_qcd_syst_down_1/wt_ff_1*((n_jets==0)*(1.24845-0.0578994*dR) + (n_jets>0)*(1.15364-0.0317013*dR))'  
-          if (options.era=='cpsummer17' or options.era == 'UL_17'):
-            fake_factor_wt_string_1+='*wt_ff_qcd_syst_down_1/wt_ff_1*((n_jets==0)*(1.40415-0.101317*dR) + (n_jets>0)*(1.16253-0.031154*dR))'
-          if options.era in ['legacy16','UL_16_preVFP','UL_16_postVFP']:
-            fake_factor_wt_string_1+='*wt_ff_qcd_syst_down_1/wt_ff_1*((n_jets==0)*(1.22618-0.0546679*dR) + (n_jets>0)*(1.09292-0.0200048*dR))'
-          #fake_factor_wt_string_1='wt_ff_test_lead_1'
-          if wt is not "":
-              wt_1=wt+"*"+fake_factor_wt_string_1
-          else:
-              wt_1=fake_factor_wt_string_1
-        full_selection_1 = BuildCutString(wt_1, sel, ff_cat_1_data, OSSS, '')
-        full_selection_2 = BuildCutString(wt_2, sel, ff_cat_2_data, OSSS, '')
-     
-        if options.ff_ss_closure:
-          # usual OS FF
-
-
-
-
-          ff_total_node = SummedNode('jetFakes_pre'+add_name)
-          f1_total_node = SummedNode('data')
-          f1_total_node.AddNode(ana.SummedFactory('data_1', data, plot_unmodified, full_selection_1))
-          f1_total_node.AddNode(ana.SummedFactory('data_2', data, plot_unmodified, full_selection_2))
-          f2_total_node = SummedNode('total_bkg')
-          f2_total_node.AddNode(GetSubtractNode(ana,'_1',plot,plot_unmodified,wt_1+sub_wt,sel+'*(gen_match_1<6)',ff_cat_1,ff_cat_1_data,8,1.0,get_os,True))
-          f2_total_node.AddNode(GetSubtractNode(ana,'_2',plot,plot_unmodified,wt_2+sub_wt,sel+'*(gen_match_2<6)',ff_cat_2,ff_cat_2_data,8,1.0,get_os,True))
-
-
-          #ana.nodes[nodename].AddNode(SubtractNode('jetFakes_pre'+add_name, f1_total_node, f2_total_node))
-
-
-          # FF for SS data
-          full_selection_1_ss = BuildCutString(wt_1, sel, ff_cat_1_data, '!os', '')
-          full_selection_2_ss = BuildCutString(wt_2, sel, ff_cat_2_data, '!os', '')
-          ff_total_node_ss = SummedNode('jetFakes_ss'+add_name)
-          f1_total_node_ss = SummedNode('data_ss')
-          f1_total_node_ss.AddNode(ana.SummedFactory('data_1_ss', data, plot_unmodified, full_selection_1_ss))
-          f1_total_node_ss.AddNode(ana.SummedFactory('data_2_ss', data, plot_unmodified, full_selection_2_ss))
-          f2_total_node_ss = SummedNode('total_bkg_ss')
-          f2_total_node_ss.AddNode(GetSubtractNode(ana,'_1_ss',plot,plot_unmodified,wt_1+sub_wt,sel+'*(gen_match_1<6)',ff_cat_1,ff_cat_1_data,8,1.0,False,True))
-          f2_total_node_ss.AddNode(GetSubtractNode(ana,'_2_ss',plot,plot_unmodified,wt_2+sub_wt,sel+'*(gen_match_2<6)',ff_cat_2,ff_cat_2_data,8,1.0,False,True))
-          den_node = SubtractNode('jetFakes_ss'+add_name, f1_total_node_ss, f2_total_node_ss)
-
-
-          # SS data - bkg
-          subtract_node = GetSubtractNode(ana,'',plot,plot_unmodified,wt,sel+'*(gen_match_1<6 && gen_match_2<6)',cats[cat_name]+'&&'+cats['baseline'],cats_unmodified[cat_name]+'&&'+cats['baseline'],8,1.0,False,True)
-          num_selection = BuildCutString(wt, sel, cats_unmodified[cat_name]+'&&'+cats['baseline'], '!os')
-          num_node = SubtractNode('ratio_num',
-                     ana.SummedFactory('data', data, plot_unmodified, num_selection),
-                     subtract_node)
-
-
-          ana.nodes[nodename].AddNode(HttQCDNode('jetFakes'+add_name,
-          f1_total_node,
-          f2_total_node,
-          1,
-          None,
-          num_node,
-          den_node))
-        else: 
-          ff_total_node = SummedNode('jetFakes'+add_name)
-          f1_total_node = SummedNode('data')
-          f1_total_node.AddNode(ana.SummedFactory('data_1', data, plot_unmodified, full_selection_1))
-          if options.ml_ff: f1_total_node.AddNode(ana.SummedFactory('data_2', data, plot_unmodified, full_selection_2))
-          f2_total_node = SummedNode('total_bkg')
-          f2_total_node.AddNode(GetSubtractNode(ana,'_1',plot,plot_unmodified,wt_1+sub_wt,sel+'*(gen_match_1<6)',ff_cat_1,ff_cat_1_data,8,1.0,get_os,True))
-          if options.ml_ff: f2_total_node.AddNode(GetSubtractNode(ana,'_2',plot,plot_unmodified,wt_2+sub_wt,sel+'*(gen_match_2<6)',ff_cat_2,ff_cat_2_data,8,1.0,get_os,True))
-          ana.nodes[nodename].AddNode(SubtractNode('jetFakes'+add_name, f1_total_node, f2_total_node))
-
-
-
-
-        if options.channel=='tt':
-          #if options.analysis == 'cpprod': full_selection_extra = BuildCutString(wt+'*wt_ff_us_2', sel+'*(gen_match_2==6)', ff_cat_2_data, OSSS, '')
-          #else: full_selection_extra = BuildCutString(wt+'*wt_ff_2', sel+'*(gen_match_2==6)', ff_cat_2_data, OSSS, '')
-
-
-          full_selection_extra = BuildCutString(wt, sel, cats_unmodified[cat_name]+'&&'+cats['baseline'], OSSS, 'gen_match_2==6')       
-  
-
-
-          #wnode = ana.SummedFactory('Wfakes'+add_name, ztt_samples+vv_samples+wjets_samples+ewkz_samples+top_samples, plot, full_selection_extra)
-#          ana.nodes[nodename].AddNode(wnode) 
-        
-def GenerateSMSignal(ana, add_name='', plot='', masses=['125'], wt='', sel='', cat='', get_os=True, sm_bkg = '',processes=['ggH','qqH','ZH','WminusH','WplusH']):
-    if get_os:
-        OSSS = 'os'
-    else:
-        OSSS = '!os'
-    if masses is not None:
-        for mass in masses:  
-            if sm_bkg != '':
-                add_str = '_SM'+sm_bkg
-            else:
-                add_str = mass
-            for key in sm_samples:
-                if 'ggH' in key: 
-                  full_selection = BuildCutString(wt+'*wt_ph_nnlops', sel, cat, OSSS)
-                else: full_selection = BuildCutString(wt, sel, cat, OSSS)
-                if True not in [proc in key for proc in processes]: continue
-                sample_names=[]
-                if isinstance(sm_samples[key], (list,)):
-                  for i in sm_samples[key]: 
-                    sample_names.append(i.replace('*',mass))
-                else: sample_names = [sm_samples[key].replace('*',mass)]
-                ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',add_str)+add_name, sample_names, plot, full_selection))
-            
-def GenerateMSSMSignal(ana, add_name='', bbh_add_name='', plot='', ggh_masses = ['1000'], bbh_masses = ['1000'], wt='', sel='', cat='', get_os=True, do_ggH=True, do_bbH=True):
-    if get_os:
-        OSSS = 'os'
-    else:
-        OSSS = '!os'
-    if options.gen_signal: OSSS='1'
-    full_selection = BuildCutString(wt, sel, cat, OSSS)
-    for key in mssm_samples:
-        masses = None
-        if key == 'ggH':
-            masses = ggh_masses
-        elif key == 'bbH':
-            masses = bbh_masses
-        if masses is not None:    
-            for mass in masses:
-                if key == 'ggH' and not do_ggH:
-                    continue
-                if key == 'bbH' and not do_bbH:
-                    continue
-                sample_name = mssm_samples[key].replace('*',mass)
-                add_name_2 = ''
-                if bbh_add_name == '-LO' and key is 'bbH': 
-                    sample_name = mssm_lo_samples['bbH-LO'].replace('*',mass)
-                    add_name_2 = bbh_add_name
-                ana.nodes[nodename].AddNode(ana.BasicFactory(key+add_name_2+mass+add_name, sample_name, plot, full_selection))
-
-
-# for CP signals
-# need to multiply by the weights wt_cp_sm/ps/mm
-def GenerateReweightedCPSignal(ana, add_name='', plot='', wt='', sel='', cat='', get_os=True):
-    weights = {"sm": "wt_cp_sm*wt_ph_nnlops", "ps": "wt_cp_ps*wt_ph_nnlops", "mm": "wt_cp_mm*wt_ph_nnlops", "flat": "wt_ph_nnlops"}
-    if get_os: 
-        OSSS = 'os'
-    else: 
-        OSSS = '!os'
-    if options.gen_signal: 
-        OSSS='1' 
-    for key, sample in sm_samples.iteritems():
-        non_cp = True 
-        for name in weights:
-            if key.split("_")[1] == name:
-                non_cp=False
-                weight=wt+"*"+weights[name]
-                full_selection = BuildCutString(weight, sel, cat, OSSS)
-                name = key
-
-
-                sample_names=[]
-                if isinstance(sm_samples[key], (list,)):
-                  for i in sm_samples[key]:
-                    sample_names.append(i.replace('*',mass))
-                else: sample_names = [sm_samples[key].replace('*',mass)]
-                ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',mass)+add_name, sample_names, plot, full_selection))
-                #ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample, plot, full_selection))
-        if non_cp:
-             full_selection = BuildCutString(wt, sel, cat, OSSS)
-             name = key
-             #ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample, plot, full_selection))
-
-
-             sample_names=[]
-             if isinstance(sm_samples[key], (list,)):
-               for i in sm_samples[key]:
-                 sample_names.append(i.replace('*',mass))
-             else: sample_names = [sm_samples[key].replace('*',mass)]
-             ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',mass)+add_name, sample_names, plot, full_selection))
-
-
-def GenerateReweightedCPProdSignal(ana, add_name='', plot='', wt='', sel='', cat='', get_os=True):
-    weights = {"sm": "wt_cp_prod_sm", "ps": "wt_cp_prod_ps", "mm": "wt_cp_prod_mm"}
-    if get_os:
-        OSSS = 'os'
-    else:
-        OSSS = '!os'
-    if options.gen_signal:
-        OSSS='1'
-    for key, sample in sm_samples.iteritems():
-        non_cp = True
-        if 'ggH_sm' in key or 'ggH_ps' in key or 'ggH_mm' in key: non_cp=False
-        if not non_cp:
-          for name in weights: 
-            tname = key.replace('*',mass)+add_name
-            if 'ggH_'+name not in tname: 
-              tname=key.replace('*',mass)+'_reweightedto_'+name+add_name
-              #continue
-              weight=wt+"*"+weights[name]+'*wt_quarkmass*wt_mg_nnlops'
-            else:
-              weight=wt+'*wt_quarkmass*wt_mg_nnlops*(wt_cp_prod_sm!=0)'
-            non_cp=False
-            #weight=wt+"*"+weights[name]+'*wt_quarkmass*wt_mg_nnlops'
-            full_selection = BuildCutString(weight, sel, cat, OSSS)
-            name = key
-
-
-            sample_names=[]
-            if isinstance(sm_samples[key], (list,)):
-              for i in sm_samples[key]:
-                sample_names.append(i.replace('*',mass))
-            else: sample_names = [sm_samples[key].replace('*',mass)]
-            ana.nodes[nodename].AddNode(ana.SummedFactory(tname, sample_names, plot, full_selection))
-        if non_cp:
-             name = key
-             weight=wt
-             if 'ggh' in name.lower():
-               if 'reweighted_' in name: weight+='*wt_quarkmass*wt_mg_nnlops'
-               else: weight+='*wt_ph_nnlops'
-             full_selection = BuildCutString(weight, sel, cat, OSSS)
-             sample_names=[]
-             if isinstance(sm_samples[key], (list,)):
-               for i in sm_samples[key]:
-                 sample_names.append(i.replace('*',mass))
-             else: sample_names = [sm_samples[key].replace('*',mass)]
-             ana.nodes[nodename].AddNode(ana.SummedFactory(key.replace('*',mass)+add_name, sample_names, plot, full_selection))
-
-
-
-
-def GenerateReWeightedMSSMSignal(ana, add_name='', plot='', ggh_masses = ['1000'], wt='', sel='', cat='', get_os=True):
-  weights = {'ggh_t_':'wt_ggh_t', 'ggh_b_':'wt_ggh_b', 'ggh_i_':'wt_ggh_i', 'ggH_t_':'wt_ggH_t', 'ggH_b_':'wt_ggH_b', 'ggH_i_':'wt_ggH_i', 'ggA_t_':'wt_ggA_t', 'ggA_b_':'wt_ggA_b', 'ggA_i_':'wt_ggA_i' }  
-  #weights = {'ggH_t_':'wt_ggH_t', 'ggH_b_':'wt_ggH_b', 'ggH_i_':'wt_ggH_i', 'ggA_t_':'wt_ggA_t', 'ggA_b_':'wt_ggA_b', 'ggA_i_':'wt_ggA_i' } 
-  if get_os: OSSS = 'os'
-  else: OSSS = '!os'
-  if options.gen_signal: OSSS='1' 
-  for mass in ggh_masses:
-    if int(mass) == 95:
-      full_selection = BuildCutString(wt, sel, cat, OSSS)
-      sample_name = mssm_samples['ggH'].replace('*',mass)
-      name = 'ggH'
-      ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample_name, plot, full_selection))
-    for name in weights:
-      weight=wt+"*"+weights[name]    
-      full_selection = BuildCutString(weight, sel, cat, OSSS)
-      sample_name = mssm_samples['ggH'].replace('*',mass)
-      ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name, sample_name, plot, full_selection))
-      if options.syst_mssm_ggh and add_name=='':
-        for u in ['_scale', '_hdamp']:
-          weight_up=wt+"*"+weights[name].replace('ggH','ggh')+u+'_up'
-          weight_down=wt+"*"+weights[name].replace('ggH','ggh')+u+'_down'
-          full_selection_up = BuildCutString(weight_up, sel, cat, OSSS)
-          full_selection_down = BuildCutString(weight_down, sel, cat, OSSS)
-          if 'scale' in u:
-            syst_name_up='_QCDscale_ggH_REWEIGHTUp'
-            syst_name_down='_QCDscale_ggH_REWEIGHTDown'
-          else:
-            syst_name_up = '_Hdamp_%sREWEIGHTUp' % (name.replace('ggA','ggH').replace('ggh','ggH'))
-            syst_name_down = '_Hdamp_%sREWEIGHTDown' % (name.replace('ggA','ggH').replace('ggh','ggH'))
-          sample_name = mssm_samples['ggH'].replace('*',mass)
-          ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name+syst_name_up, sample_name, plot, full_selection_up))      
-          ana.nodes[nodename].AddNode(ana.BasicFactory(name+mass+add_name+syst_name_down, sample_name, plot, full_selection_down))      
-          
-def GenerateNLOMSSMSignal(ana, add_name='', plot='', ggh_nlo_masses = ['1000'], bbh_nlo_masses = ['1000'],wt='wt', sel='', cat='', doScales=True, doPDF=False, get_os=True,do_ggH=True, do_bbH=True):
-    if get_os:
-        OSSS = 'os'
-    else:
-        OSSS = '!os'
-    if options.gen_signal: OSSS='1'
-    weights = {'':'1'}
-    wt_noscale = wt
-    if doScales: weights = {'':'1','muR1muF2':'wt_mur1_muf2','muR1muF0.5':'wt_mur1_muf0p5','muR2muF1':'wt_mur2_muf1','muR2muF2':'wt_mur2_muf2','muR0.5muF1':'wt_mur0p5_muf1','muR0.5muF0.5':'wt_mur0p5_muf0p5'}
-    if doPDF:
-      for i in range(1,101): weights['PDF_'+str(i)] = 'wt_pdf_'+str(i)
-      weights['AlphaS_Up'] = 'wt_alphasup'
-      weights['AlphaS_Down'] = 'wt_alphasdown'
-    for weight in weights:
-      wt = weights[weight]+'*'+wt_noscale  
-      full_selection = BuildCutString(wt, sel, cat, OSSS)
-      for key in mssm_nlo_samples:
-          if 'Qsh' in key and weight is not '': continue
-          if 'ggH' in key:
-              masses = ggh_nlo_masses
-          elif 'bbH' in key:
-              masses = bbh_nlo_masses
-          if masses is not None:    
-              for mass in masses:
-                  if key == 'ggH' and not do_ggH:
-                      continue
-                  if key == 'bbH' and not do_bbH:
-                      continue
-                  sample_name = mssm_nlo_samples[key].replace('*',mass)
-                  ana.nodes[nodename].AddNode(ana.BasicFactory(key+mass+add_name+weight, sample_name, plot, full_selection))
-        
-        
-def GenerateHhhSignal(ana, add_name='', plot='', masses = ['700'], wt='', sel='', cat='', get_os=True):
-    if get_os:
-        OSSS = 'os'
-    else:
-        OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS)
-    if masses is not None:
-        for mass in masses:
-            for key in Hhh_samples:
-                sample_name = Hhh_samples[key].replace('*',mass)
-                ana.nodes[nodename].AddNode(ana.BasicFactory(key+mass+add_name, sample_name, plot, full_selection))
-
-
-def GenerateVLQSignal(ana, add_name='', plot='', vlq_sig= [] ,wt='', sel='', cat='', get_os=True):
-    if get_os:
-        OSSS = 'os'
-    else:
-        OSSS = '!os'
-    full_selection = BuildCutString(wt, sel, cat, OSSS)
-    for key in vlq_samples:
-      if key in vlq_sig:
-        if isinstance(vlq_samples[key], (list,)):
-          sample_names = []
-          for i in vlq_samples[key]:
-            sample_names.append(i)
-        else: sample_names = [vlq_samples[key]]
-        ana.nodes[nodename].AddNode(ana.SummedFactory(key+add_name, sample_names, plot, full_selection))
-
-
- 
-def PrintSummary(nodename='', data_strings=['data_obs'], add_names=''):
-    print ''
-    print '################### Summary ###################'
-    nodes = ana.nodes[nodename].SubNodes()
-    bkg_total = ufloat(0.000000001,0.000000001)
-    sig_total = ufloat(0.000000001,0.000000001)
-    for node in nodes:
-        if options.channel == 'em' and node.name == 'W': continue
-        if node.shape.rate.n == 0: per_err = 0
-        else: per_err = node.shape.rate.s/node.shape.rate.n
-        print node.name.ljust(10) , ("%.2f" % node.shape.rate.n).ljust(10), '+/-'.ljust(5), ("%.2f" % node.shape.rate.s).ljust(7), "(%.4f)" % per_err 
-        if True in [node.name.find(add_name) != -1 and add_name is not '' for add_name in add_names]: continue
-        if len(signal_samples) != 0: sig_samp_cond = [node.name.find(sig) != -1 for sig in signal_samples.keys()]
-        else: sig_samp_cond = []
-        if True in sig_samp_cond and node.name.find("_SM"+options.add_sm_background) ==-1:
-            sig_total += node.shape.rate
-        elif node.name not in data_strings or (options.method == 18 and 'jetFakes' == node.name):
-            bkg_total += node.shape.rate      
-    if bkg_total.n == 0: per_err = 0        
-    else: per_err = bkg_total.s/bkg_total.n
-    print 'Total bkg'.ljust(10) , ("%.2f" % bkg_total.n).ljust(10), '+/-'.ljust(5), ("%.2f" % bkg_total.s).ljust(7), "(%.4f)" % per_err
-    if sig_total.n == 0: per_err = 0
-    else: per_err = sig_total.s/sig_total.n
-    print 'Total sig'.ljust(10) , ("%.2f" % sig_total.n).ljust(10), '+/-'.ljust(5), ("%.2f" % sig_total.s).ljust(7), "(%.4f)" % per_err
-    print '###############################################'
-    print ''
-    
-
-
-def FixBins(ana,outfile='output.root'):
-    #Fix empty histograms
-    nodes = ana.nodes[nodename].SubNodes()
-    for node in nodes:
-        if 'data_obs' in node.name: continue
-        hist = outfile.Get(nodename+'/'+node.name)
-        outfile.cd(nodename)
-        #Fix empty histogram
-        if hist.Integral() == 0.0:
-            hist.SetBinContent(hist.GetNbinsX()/2, 0.00001)
-            hist.SetBinError(hist.GetNbinsX()/2, 0.00001)
-            hist.Write(hist.GetName(),ROOT.TObject.kWriteDelete)
-        outfile.cd()
-
-
-                                                                                                                                
-def NormFFSysts(ana,outfile='output.root'):
-    nominal_hist = outfile.Get(nodename+'/jetFakes')
-    if isinstance(nominal_hist,ROOT.TH2): nominal_scale = nominal_hist.Integral(-1,-1,-1,-1)
-    else: nominal_scale = nominal_hist.Integral(0,nominal_hist.GetNbinsX()+2)
-    directory = outfile.Get(nodename)
-    outfile.cd(nodename)
-    hists_to_add=[]
-    for key in directory.GetListOfKeys():
-        hist_name = key.GetName()
-        hist = directory.Get(hist_name).Clone()
-        if not isinstance(hist,ROOT.TDirectory):
-           if 'jetFakes' not in hist_name: continue
-           if hist_name == 'jetFakes': continue
-           if isinstance(hist,ROOT.TH2): norm = nominal_scale/hist.Integral(-1,-1,-1,-1)
-           else: norm = nominal_scale/hist.Integral(0,hist.GetNbinsX()+2)
-           hist.Scale(norm)
-           norm_hist_name = hist_name
-           norm_hist_name = norm_hist_name.replace('jetFakes','jetFakes_norm')
-           hist.SetName(norm_hist_name)
-           hists_to_add.append(hist)
-    for hist in hists_to_add: hist.Write()
-    
-def NormWFakeSysts(ana,outfile='output.root'):
-    nominal_hist = outfile.Get(nodename+'/W')
-    if isinstance(nominal_hist,ROOT.TH2): nominal_scale = nominal_hist.Integral(-1,-1,-1,-1)
-    else: nominal_scale = nominal_hist.Integral(-1,-1)
-    directory = outfile.Get(nodename)
-    outfile.cd(nodename)
-    hists_to_add=[]
-    for key in directory.GetListOfKeys():
-        hist_name = key.GetName()
-        hist = directory.Get(hist_name)
-        if not isinstance(hist,ROOT.TDirectory):
-           if 'W' not in hist_name or options.syst_w_fake_rate not in hist_name or 'Wplus' in hist_name or 'Wminus' in hist_name or 'WH' in hist_name: continue
-           if isinstance(hist,ROOT.TH2): norm = nominal_scale/hist.Integral(-1,-1,-1,-1)
-           else: norm = nominal_scale/hist.Integral(-1,-1)
-           hist.Scale(norm)
-           hists_to_add.append(hist)
-    for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
-
-
-def NormEmbedToMC(ana,outfile='output.root'):
-    nominal_hist = outfile.Get(nodename+'/ZTT')
-    nominal_hist_embed = outfile.Get(nodename+'/EmbedZTT')
-    if isinstance(nominal_hist,ROOT.TH2): scale = nominal_hist.Integral(-1,-1,-1,-1)/nominal_hist_embed.Integral(-1,-1,-1,-1)
-    else: scale = nominal_hist.Integral(-1,-1)/nominal_hist_embed.Integral(-1,-1)
-    directory = outfile.Get(nodename)
-    outfile.cd(nodename)
-    hists_to_add=[]
-    for key in directory.GetListOfKeys():
-        hist_name = key.GetName()
-        hist = directory.Get(hist_name)
-        if not isinstance(hist,ROOT.TDirectory):
-           if 'EmbedZTT' not in hist_name: continue
-           hist.Scale(scale)
-           hists_to_add.append(hist)
-    for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
-
-
-    
-def TTBarEmbeddingSyst(ana,outfile,template_name):
-    nominal_hist = outfile.Get(nodename+'/EmbedZTT')    
-    shift_hist = outfile.Get(nodename+'/TTT_embed_syst')
-    shift_hist_2 = outfile.Get(nodename+'/VVT_embed_syst')
-    shift_hist.Add(shift_hist_2)
-    shift_hist.Scale(0.1)
-    up_hist = nominal_hist.Clone()
-    down_hist = nominal_hist.Clone()
-    up_hist.Add(shift_hist)
-    down_hist.Add(shift_hist,-1)
-    up_hist.SetName('EmbedZTT_'+template_name+'Up')
-    down_hist.SetName('EmbedZTT_'+template_name+'Down')
-    outfile.cd(nodename)
-    up_hist.Write()
-    down_hist.Write()
-    
-def OverwriteNames(input_string,replace_dict={}):
-    for i in replace_dict:
-      input_string=input_string.replace(i,replace_dict[i])
-    return input_string
-    
-def PDFUncerts(nodename, infile):
-  def RMS(a):
-    from numpy import mean, sqrt, square  
-    rms = sqrt(mean(square(a-mean(a))))
-    return rms
-  outstring1=''
-  outstring2=''
-  
-  for mass in bbh_nlo_masses:
-    nominal_error=ROOT.Double()
-    nominal = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,nominal_error)
-    sample_name='SUSYGluGluToBBHToTauTau_M-'+mass+'-NLO'
-    evt_nom = ana.info[sample_name]['evt']
-    pdf_variations_nosf=[]
-    pdf_variations=[]
-    pdf_variations_nosf.append(nominal)
-    pdf_variations.append(nominal)
-    for i in range(1,101):
-      wt = 'wt_pdf_'+str(i)
-      name = 'PDF_'+str(i)
-      val = outfile.Get(nodename+'/bbH'+mass+name).Integral(-1, -1)
-      pdf_variations_nosf.append(val)
-      evt_var = ana.info[sample_name]['evt_'+wt]
-      sf = evt_nom/evt_var
-      pdf_variations.append(val*sf)
-    pdf_uncert_nosf=RMS(pdf_variations_nosf)/nominal*100
-    pdf_uncert=RMS(pdf_variations)/nominal*100
-    #print pdf_uncert_nosf, pdf_uncert
-    
-    outstring1+=mass+','
-    outstring2+=str(pdf_uncert)+','
-    
-    nominal_error=ROOT.Double()
-    nominal = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,nominal_error)
-    alphas_down_error_nosf=ROOT.Double()
-    alphas_down_nosf = outfile.Get(nodename+'/bbH'+mass+'AlphaS_Down').IntegralAndError(-1, -1,alphas_down_error_nosf)
-    alphas_up_error_nosf=ROOT.Double()
-    alphas_up_nosf = outfile.Get(nodename+'/bbH'+mass+'AlphaS_Up').IntegralAndError(-1, -1,alphas_up_error_nosf)
-    evt_var = ana.info[sample_name]['evt_wt_alphasdown']
-    sf = evt_nom/evt_var
-    alphas_down=alphas_down_nosf*sf
-    alphas_down_error=alphas_down_error_nosf*sf
-    evt_var = ana.info[sample_name]['evt_wt_alphasup']
-    sf = evt_nom/evt_var
-    alphas_up=alphas_up_nosf*sf
-    alphas_up_error=alphas_up_error_nosf*sf
-    
-    alphas_uncert = (alphas_up-alphas_down)/2/nominal
-    alphas_uncert_error = math.sqrt(alphas_down_error**2+alphas_up_error**2)/(alphas_up-alphas_down)*alphas_uncert
-    #(alphas_up_nosf-alphas_down_nosf)/2/nominal
-    #print alphas_uncert*100, '\\% $\\pm$', alphas_uncert_error*100,'\\%'
-  print outstring1
-  print outstring2
-
-
-def DONLOUncerts(nodename,infile):
-    def LargestDiff(nominal,scales_shifted):
-        largest_diff=0
-        value = nominal
-        for i in scales_shifted:
-            diff = abs(scales_shifted[i] - nominal)
-            if diff > largest_diff: 
-              largest_diff = diff
-              value = scales_shifted[i]
-        return value
-    if not options.bbh_nlo_masses: return
-    outstring='%'+options.channel+' '+options.datacard+'\n'
-    if options.nlo_qsh: outstring+='\\begin{table}[H]\n\\centering\n\\resizebox{\\textwidth}{!}{\n\\begin{tabular}{ |c|c|c| }\n\\hline\nSignal Mass (GeV) & Qsh Uncertainty &  Qsh Uncertainty (*)'
-    else: outstring+='\\begin{table}[H]\n\\centering\n\\resizebox{\\textwidth}{!}{\n\\begin{tabular}{ |c|c|c| }\n\\hline\nSignal Mass (GeV) & Scale Uncertainty &  Scale Uncertainty (*)'
-    outstring += '\\\\\n\\hline\n'
-    #outstring2='{'
-    #outstring3='{'
-    #outstring4='{'
-    for mass in bbh_nlo_masses:
-      nominal_error=ROOT.Double()
-      nominal = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,nominal_error) 
-      samples = {'bbH*':'', 'bbH*muR0.5muF0.5':'wt_mur0p5_muf0p5', 'bbH*muR1muF0.5':'wt_mur1_muf0p5', 'bbH*muR0.5muF1':'wt_mur0p5_muf1', 'bbH*muR2muF2':'wt_mur2_muf2', 'bbH*muR2muF1':'wt_mur2_muf1', 'bbH*muR1muF2':'wt_mur1_muf2'} 
-      qsh_down_error=ROOT.Double()
-      qsh_up_error=ROOT.Double()
-      if options.nlo_qsh:
-        qsh_down = outfile.Get(nodename+'/bbH-QshDown'+mass).IntegralAndError(-1, -1,qsh_down_error) 
-        qsh_up = outfile.Get(nodename+'/bbH-QshUp'+mass).IntegralAndError(-1, -1,qsh_up_error)
-        qsh_uncert_1=(max(nominal,qsh_down,qsh_up) - min(nominal,qsh_down,qsh_up))/2
-        up_error = nominal_error 
-        down_error = nominal_error
-        if max(nominal,qsh_down,qsh_up) is qsh_up: up_error = qsh_up_error
-        if max(nominal,qsh_down,qsh_up) is qsh_down: up_error = qsh_down_error
-        if min(nominal,qsh_down,qsh_up) is qsh_up: down_error = qsh_up_error
-        if min(nominal,qsh_down,qsh_up) is qsh_down: down_error = qsh_down_error
-        qsh_error_1 = math.sqrt(up_error**2 + down_error**2)
-        qsh_uncert_2 = (qsh_up - qsh_down)/2
-        qsh_error_2 = math.sqrt(qsh_up_error**2 + qsh_down_error**2)
-      scale_max = nominal
-      scale_min = nominal
-      scale_nosf_max = nominal
-      scale_nosf_min = nominal
-      up_dic = {}
-      down_dic = {}
-      for samp in samples:
-        acceptance_error = ROOT.Double()  
-        acceptance = outfile.Get(nodename+'/'+samp.replace('*',mass)).IntegralAndError(-1, -1,acceptance_error)
-        if samp is 'bbH*': sf = 1.0 
-        else: 
-          sample_name='SUSYGluGluToBBHToTauTau_M-'+mass+'-NLO'
-          evt_nom = ana.info[sample_name]['evt']
-          evt_var = ana.info[sample_name]['evt_'+samples[samp]]
-          sf = evt_nom/evt_var
-        acceptance_nosf = acceptance
-        acceptance*=sf
-        #if samples[samp] in ['wt_mur0p5_muf0p5', 'wt_mur1_muf0p5', 'wt_mur0p5_muf1']: down_dic[samples[samp]] = acceptance
-        #if samples[samp] in ['wt_mur2_muf2','wt_mur2_muf1','wt_mur1_muf2']: up_dic[samples[samp]] = acceptance
-        if samples[samp] in ['wt_mur0p5_muf0p5']: 
-            down_dic[samples[samp]] = [acceptance,acceptance_error]
-        if samples[samp] in ['wt_mur2_muf2']: up_dic[samples[samp]] = [acceptance,acceptance_error]
-        if acceptance > scale_max: 
-            scale_max = acceptance
-            up_error = acceptance_error
-        if acceptance < scale_min:
-            scale_min = acceptance
-            down_error = acceptance_error
-        if acceptance_nosf > scale_nosf_max: scale_nosf_max = acceptance_nosf
-        if acceptance_nosf < scale_nosf_min: scale_nosf_min = acceptance_nosf
-      #up_nom = LargestDiff(nominal,up_dic)
-      #down_nom = LargestDiff(nominal,down_dic)
-      up_nom = up_dic['wt_mur2_muf2'][0]
-      down_nom = down_dic['wt_mur0p5_muf0p5'][0]
-      uncert = (scale_max-scale_min)/2
-      uncert_error = math.sqrt(up_error**2+down_error**2)/(scale_max-scale_min)*uncert
-      uncert_nosf = (scale_nosf_max-scale_nosf_min)/2
-      uncert_alt_method = (up_nom-down_nom)/2
-      uncert_alt_error = math.sqrt(up_dic['wt_mur2_muf2'][1]**2 + down_dic['wt_mur0p5_muf0p5'][1]**2)/(up_nom-down_nom) *uncert_alt_method
-      pythia_error=ROOT.Double()
-      pythia_yield = outfile.Get(nodename+'/bbH'+mass).IntegralAndError(-1, -1,pythia_error) 
-      outstring +=mass#+ ' & '+ str(round(pythia_yield,1))+' $\pm$ '+str(round(pythia_error,1))+ ' & '+ str(round(nominal,1))+' $\pm$ '+str(round(nominal_error,1))+ '('+str(round((pythia_yield-nominal)*100/pythia_yield,2))+' \%)' + ' & '+ str(round(uncert_nosf/nominal,2)) + ' & '+ str(round(uncert/nominal,2))+ ' & '+ str(round(uncert_alt_method/nominal,2))
-      if options.nlo_qsh: 
-        outstring+=' & '+ str(round(100*qsh_uncert_1/nominal,1))+' $\pm$ '+str(round(100*qsh_error_1/nominal,1))+' & '+ str(round(100*qsh_uncert_2/nominal,1))+' $\pm$ '+str(round(100*qsh_error_2/nominal,1))+'\\\\\n'  
-      else:
-        outstring+=' & '+ str(round(100*uncert/nominal,1))+'\\% $\\pm$ '+ str(round(100*uncert_error/nominal,1)) +'\\% & '+ str(round(100*uncert_alt_method/nominal,1))+'\\% $\\pm$ '+str(round(100*uncert_alt_error/nominal,1)) +'\\% \\\\\n'
-      #outstring2 +=str(round(100*uncert/nominal,1))+','
-      #outstring3 +=str(round(100*uncert_error/nominal,1))+','
-      #outstring4+=mass+','
-    outstring+='\\hline\n\\end{tabular}}\n\\end{table}'
-    print outstring
-    #print outstring2
-    #print outstring3
-    #print outstring4
-    
-def ScaleUncertBand(nodename='',outfile='output.root',NormScales=True):
-    hist_names=['bbH*muR0.5muF0.5','bbH*muR1muF0.5','bbH*muR0.5muF1','bbH*muR2muF1','bbH*muR1muF2','bbH*muR2muF2']
-    mass = '100'
-    if options.draw_signal_mass: mass = options.draw_signal_mass
-    hists=[]
-    for hist_name in hist_names:
-        sf = 1.0
-        if NormScales:
-            sample_name='SUSYGluGluToBBHToTauTau_M-'+mass+'-NLO'
-            evt_nom = ana.info[sample_name]['evt']
-            evt_var = ana.info[sample_name]['evt_'+hist_name.replace('bbH*','wt_').replace('muF','_muf').replace('muR','mur').replace('0.5','0p5')]
-            sf = evt_nom/evt_var
-        hist_name=hist_name.replace('*',mass)
-        hist = outfile.Get(nodename+'/'+hist_name).Clone()
-        if NormScales: hist.Scale(sf)
-        hists.append(hist)
-    nom_hist = outfile.Get(nodename+'/bbH'+mass)
-    up_hist = nom_hist.Clone()
-    down_hist = nom_hist.Clone()
-    up_hist.SetName('ScaleUp')
-    down_hist.SetName('ScaleDown')
-    for i in range (1,nom_hist.GetNbinsX()+2):
-        for hist in hists:
-          max_content = up_hist.GetBinContent(i)
-          min_content = down_hist.GetBinContent(i)
-          content = hist.GetBinContent(i)
-          if content > max_content: up_hist.SetBinContent(i,content)
-          if content < min_content: down_hist.SetBinContent(i,content)
-    outfile.cd(nodename)
-    up_hist.Write()
-    down_hist.Write()
-    outfile.cd()
-        
-    
-def DYUncertBand(outfile='output.root',ScaleToData=True):
-    bkg_hist = outfile.Get(nodename+'/total_bkg')
-    nominal_hist = outfile.Get(nodename+'/ZLL')
-    up_hist = outfile.Get(nodename+'/total_bkg').Clone()
-    down_hist = outfile.Get(nodename+'/total_bkg').Clone()
-    up_hist.SetName('total_bkg_up')
-    down_hist.SetName('total_bkg_down')
-    shifts=['_ES', '_TT', '_Stat0', '_Stat40', '_Stat80']
-    for i in range(1,nominal_hist.GetNbinsX()+2):
-      nom_content = nominal_hist.GetBinContent(i)
-      bkg_content = bkg_hist.GetBinContent(i)
-      uncert=0
-      for shift in shifts:
-          shift_hist_up = outfile.Get(nodename+'/ZLL'+shift+'Up')
-          shift_hist_down = outfile.Get(nodename+'/ZLL'+shift+'Down')
-          up = abs(shift_hist_up.GetBinContent(i) - nom_content)
-          down = abs(shift_hist_down.GetBinContent(i) - nom_content)
-          uncert=math.sqrt(max([up,down])**2+uncert**2)
-      up_hist.SetBinContent(i, bkg_content+uncert)
-      down_hist.SetBinContent(i, bkg_content-uncert)
-    outfile.cd(nodename)
-    up_hist.Write()
-    down_hist.Write()
-    outfile.cd()
-    if ScaleToData:
-      data_hist=outfile.Get(nodename+'/data_obs')
-      data_total=data_hist.Integral(-1,-1)
-      bkg_total=bkg_hist.Integral(-1,-1)
-      data_hist.Scale(bkg_total/data_total)
-      outfile.cd(nodename)
-      data_hist.Write()
-      outfile.cd()
-    
-def GetTotals(ana,add_name="",outfile='outfile.root'):
-    # add histograms to get totals for backgrounds split into real/fake taus and make a total backgrounds histogram
-    outfile.cd(nodename)
-    nodes = ana.nodes[nodename].SubNodes()
-    nodenames=[]
-    for node in nodes: nodenames.append(node.name)
-   # for i in ['TT', 'VV', 'Z']:
-   #     j = 'T'
-   #     outname = i+add_name
-   #     first_hist=True
-   #     if options.channel == 'em' and i is 'Z':
-   #         if first_hist and 'ZLL'+add_name in nodenames: 
-   #             sum_hist = ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone()
-   #             first_hist=False
-   #         elif 'ZLL'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone())
-   #         if first_hist and'ZTT'+add_name in nodenames: 
-   #             sum_hist = ana.nodes[nodename].nodes['ZTT'+add_name].shape.hist.Clone()
-   #             first_hist=False
-   #         elif 'ZTT'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes['ZTT'+add_name].shape.hist.Clone())
-   #         if not first_hist:
-   #             sum_hist.SetName(outname)
-   #             sum_hist.Write()
-   #     elif (options.channel == 'zee' or options.channel == 'zmm') and i is 'Z':
-   #         if first_hist and 'ZLL'+add_name in nodenames:
-   #             sum_hist = ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone()
-   #             first_hist=False
-   #         elif 'ZLL'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes['ZLL'+add_name].shape.hist.Clone())
-   #         if not first_hist:
-   #             sum_hist.SetName(outname)
-   #             sum_hist.Write()
-   #     else: 
-   #         if i is 'Z':
-   #             outname = 'ZLL'+add_name
-   #             j = 'L'
-   #         if i+'J' or i+j in [node.name for node in nodes]:
-   #             if first_hist and i+'J'+add_name in nodenames: 
-   #                 sum_hist = ana.nodes[nodename].nodes[i+'J'+add_name].shape.hist.Clone()
-   #                 first_hist=False
-   #             elif i+'J'+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes[i+'J'+add_name].shape.hist.Clone())
-   #             if first_hist and i+j+add_name in nodenames:
-   #                 sum_hist = ana.nodes[nodename].nodes[i+j+add_name].shape.hist.Clone()    
-   #                 first_hist=False
-   #             elif i+j+add_name in nodenames: sum_hist.Add(ana.nodes[nodename].nodes[i+j+add_name].shape.hist.Clone())
-   #         if not first_hist:    
-   #             sum_hist.SetName(outname)
-   #             sum_hist.Write()
-    first_hist=True
-    for node in nodes:
-        if len(signal_samples) != 0: sig_samp_cond = [node.name.find(sig) != -1 for sig in signal_samples.keys()]
-        else: sig_samp_cond = []
-        if True not in sig_samp_cond and node.name != 'data_obs' and node.name.find("_SM"+options.add_sm_background) ==-1 and not node.name.endswith('Up') and not node.name.endswith('Down'):
-            if options.embedding and node.name.startswith('ZTT'): continue
-            if 'embed_syst' in node.name: continue
-            if options.method == 18 and 'jetFakes' == node.name: continue
-            if options.channel == 'em' and node.name == 'W': continue
-            if add_name not in node.name: continue
-            if first_hist:
-                total_bkg = ana.nodes[nodename].nodes[node.name].shape.hist.Clone()
-                first_hist=False
-            else: total_bkg.Add(ana.nodes[nodename].nodes[node.name].shape.hist.Clone())
-    if not first_hist:        
-        total_bkg.SetName('total_bkg'+add_name)
-        total_bkg.Write()
-    outfile.cd()
-     
-    #hist = outfile.Get(nodename+'/total_bkg')
-    #qcd_hist = outfile.Get(nodename+'/QCD')
-    #ztt_hist = outfile.Get(nodename+'/ZTT')
-    #tot_sub = total_bkg.Integral(-1,-1) - qcd_hist.Integral(-1,-1) - ztt_hist.Integral(-1,-1)
-    #out_str=''
-    #hist_names = ['TT','VV','W','ZLL','EmbedZTT']
-    #for name in hist_names:
-    #  hist = outfile.Get(nodename+'/'+name)
-    #  frac = hist.Integral(-1,-1)/tot_sub
-    #  out_str+='%s = %.2f, ' % (name, frac)
-    #print out_str
-
-
-    
-def CompareShapes(compare_w_shapes, compare_qcd_shapes):
-    if compare_w_shapes:
-      nominal_hist = outfile.Get(nodename+'/W')
-      nominal_scale = nominal_hist.Integral(0,nominal_hist.GetNbinsX()+2)
-      directory = outfile.Get(nodename)
-      outfile.cd(nodename)
-      shape_hist = outfile.Get(nodename+'/W_shape')
-      shape_scale = shape_hist.Integral(0,shape_hist.GetNbinsX()+2)
-      shape_hist.Scale(nominal_scale/shape_scale)
-      shape_hist.Write()
-    if compare_qcd_shapes:
-      nominal_hist = outfile.Get(nodename+'/QCD')
-      nominal_scale = nominal_hist.Integral()
-      directory = outfile.Get(nodename)
-      outfile.cd(nodename)
-      shape_hist = outfile.Get(nodename+'/QCD_shape')
-      shape_scale = shape_hist.Integral()
-      shape_hist.Scale(nominal_scale/shape_scale)
-      shape_hist.Write()
-      
-def AppendNameToSamples(samples=[],name_to_add=None):
-  if name_to_add is None or name_to_add is '': return samples
-  elif type(samples) is dict:
-    new_samples = {}  
-    for key in samples: new_samples[key] = samples[key]+name_to_add
-    return new_samples  
-  else:
-    new_samples = []
-    for sample in samples: new_samples.append(sample+name_to_add)    
-    return new_samples
-    
-def RunPlotting(ana, cat='',cat_data='', sel='', add_name='', wt='wt', do_data=True, samples_to_skip=[], outfile='output.root',ff_syst_weight=None):
-    doTTJ = 'TTJ' not in samples_to_skip
-    doTTT = 'TTT' not in samples_to_skip
-    doVVJ = 'VVJ' not in samples_to_skip
-    doVVT = 'VVT' not in samples_to_skip
-    doZL  = 'ZL'  not in samples_to_skip
-    doZJ  = 'ZJ'  not in samples_to_skip
-    
-    zll_samples=list(ztt_samples)
-    if options.analysis in ['cpdecay','cpprod','mssmrun2','vlq']: zll_samples+=ewkz_samples
-
-
-    # produce template for observed data
-    if do_data:
-        if options.do_ss:
-          OSSS = '!os'
-        else:
-            OSSS = 'os'
-        weight='wt'
-        if options.add_wt : weight+='*'+options.add_wt
-        full_selection = BuildCutString(weight, sel, cat_data, OSSS)
-        ana.nodes[nodename].AddNode(ana.SummedFactory('data_obs', data_samples, plot_unmodified, full_selection))
-    
-    # produce templates for backgrounds
-    if options.method in [17] and options.channel != "em":
-        doVVJ=False
-        doTTJ=False
-
-
-        if 'jetFakes' not in samples_to_skip:
-            GenerateFakeTaus(ana, add_name, data_samples, plot, plot_unmodified, wt, sel, options.cat,not options.do_ss,ff_syst_weight)
-            #if options.channel == 'tt':
-        
-        # use existing methods to calculate background due to non-fake taus
-        add_fake_factor_selection = "gen_match_2<6"
-        if options.channel == "tt": add_fake_factor_selection = "gen_match_1<6 && gen_match_2<6"
-        residual_cat=cat+"&&"+add_fake_factor_selection
-        if 'EmbedZTT' not in samples_to_skip and options.embedding:
-           GenerateEmbedded(ana, add_name, embed_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)  
-            #if do_data: GenerateZTT(ana, add_name, ztt_samples+top_samples+vv_samples+ewkz_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)
-        #if 'ZTT' not in samples_to_skip and not options.embedding:
-        if 'ZTT' not in samples_to_skip:
-            GenerateZTT(ana, add_name, ztt_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)
-        if 'ZLL' not in samples_to_skip:
-            GenerateZLL(ana, add_name, zll_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss,doZL,False)
-        if 'TT' not in samples_to_skip:    
-            GenerateTop(ana, add_name, top_samples, plot, wt, sel, residual_cat, top_sels, not options.do_ss, doTTT, doTTJ)  
-        if 'VV' not in samples_to_skip:
-            GenerateVV(ana, add_name, vv_samples, plot, wt, sel, residual_cat, vv_sels, not options.do_ss, doVVT, doVVJ)  
-        #if 'EWKZ' not in samples_to_skip and options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'tauid2016','cpsummer17','tauid2017','cp18','mvadm2016']: 
-            #GenerateEWKZ(ana, add_name, ewkz_samples, plot, wt, sel, residual_cat, z_sels, not options.do_ss)
-        #if 'ggH_hww' not in samples_to_skip and 'qqH_hww' not in samples_to_skip and options.analysis == 'cpprod':
-        #  GenerateHWW(ana, add_name, gghww_samples, qqhww_samples, plot, wt, sel, cat, not options.do_ss, True, True)
-        if 'W' not in samples_to_skip and options.channel=='tt' and options.analysis in ['cpprod','cpdecay','mssmrun2','vlq'] and 'VV' not in samples_to_skip and 'ZTT' not in samples_to_skip and not options.ml_ff:
-            GenerateW(ana, 'fakes'+add_name, ztt_samples+vv_samples+wjets_samples+ewkz_samples+top_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel+'&&gen_match_1!=6&&gen_match_2==6', cat, cat_data, 8, qcd_os_ss_ratio, not options.do_ss)
-        if options.channel in ['mt','et']:
-          # need to add back the other fake components when testing the FF validations
-          if options.w_ff_closure and not options.ml_ff:
-            if 'ZLL' not in samples_to_skip:
-                GenerateZLL(ana, add_name+'_res', ztt_samples, plot, wt, sel, cat, z_sels, not options.do_ss,False,True)
-            if 'TT' not in samples_to_skip:
-                GenerateTop(ana, add_name+'_res', top_samples, plot, wt, sel, cat, top_sels, not options.do_ss, False, True)
-            if 'VV' not in samples_to_skip:
-                GenerateVV(ana, add_name+'_res', vv_samples, plot, wt, sel, cat, vv_sels, not options.do_ss, False, True)
-            if 'QCD' not in samples_to_skip:
-                GenerateQCD(ana, add_name+'_res', data_samples, plot, plot_unmodified, wt, sel, cat, cat_data, 12, 1.1, not options.do_ss,wshift)
-          if options.qcd_ff_closure and not options.ml_ff:
-            if 'ZLL' not in samples_to_skip:
-                GenerateZLL(ana, add_name+'_res', ztt_samples, plot, wt, sel, cat, z_sels, not options.do_ss,False,True)
-            if 'TT' not in samples_to_skip:
-                GenerateTop(ana, add_name+'_res', top_samples, plot, wt, sel, cat, top_sels, not options.do_ss, False, True)
-            if 'VV' not in samples_to_skip:
-                GenerateVV(ana, add_name+'_res', vv_samples, plot, wt, sel, cat, vv_sels, not options.do_ss, False, True)
-            if 'W' not in samples_to_skip:
-                GenerateW(ana, add_name+'_res', wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel, cat, cat_data, 8, qcd_os_ss_ratio, not options.do_ss)
-
-
-    else:
-        method = options.method
-        if options.method == 18:
-
-
-            if 'jetFakes' not in samples_to_skip:
-                GenerateFakeTaus(ana, add_name, data_samples, plot, plot_unmodified, wt, sel, options.cat,not options.do_ss,ff_syst_weight)
-            if options.channel == 'tt': method = 8
-            elif options.cat == "btag_loosemt" or options.cat == "btag_tight": method = 16
-            elif options.channel == 'et' or options.channel == 'mt': method = 12
-        if 'EmbedZTT' not in samples_to_skip and options.embedding and options.channel != 'zmm' and options.channel != 'zee':    
-            GenerateEmbedded(ana, add_name, embed_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
-            if options.cat in ['pass','fail']:
-              cat_pass = '('+cats['pass']+')*('+cats['baseline']+')'  
-              cat_fail = '('+cats['fail']+')*('+cats['baseline']+')'
-              GenerateEmbedded(ana, '_pass'+add_name, embed_samples, plot, wt, sel, cat_pass, z_sels, not options.do_ss)
-              GenerateEmbedded(ana, '_fail'+add_name, embed_samples, plot, wt, sel, cat_fail, z_sels, not options.do_ss)
-        if 'ZTT' not in samples_to_skip and not options.embedding:
-          GenerateZTT(ana, add_name, ztt_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
-        if 'ZTT' not in samples_to_skip and options.embedding and 'VV' not in samples_to_skip and 'TT' not in samples_to_skip:
-          GenerateZTT(ana, add_name, ztt_samples+top_samples+vv_samples+ewkz_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
-        if 'ZLL' not in samples_to_skip:
-            GenerateZLL(ana, add_name, zll_samples, plot, wt, sel, cat, z_sels, not options.do_ss,doZL,doZJ)
-        if options.embedding and options.channel in ['zmm','zee'] and 'EmbedZLL' not in samples_to_skip: GenerateZLEmbedded(ana, add_name, embed_samples, plot, wt, sel, cat, z_sels, not options.do_ss)
-        if 'TT' not in samples_to_skip:    
-            GenerateTop(ana, add_name, top_samples, plot, wt, sel, cat, top_sels, not options.do_ss, doTTT, doTTJ) 
-            if 'mvadm' in options.cat:
-              cat_mvarho = '('+cats['mvadm_rho']+')*('+cats['baseline']+')'
-              cat_mvaa1 = '('+cats['mvadm_a1']+')*('+cats['baseline']+')'
-              cat_mvapi = '('+cats['mvadm_pi']+')*('+cats['baseline']+')'
-              cat_mvanotrho = '('+cats['mvadm_notrho']+')*('+cats['baseline']+')'
-              GenerateTop(ana, '_mvarho'+add_name, top_samples, plot, wt, sel, cat_mvarho, top_sels, not options.do_ss, doTTT, False)
-              GenerateTop(ana, '_mvaa1'+add_name, top_samples, plot, wt, sel, cat_mvaa1, top_sels, not options.do_ss, doTTT, False)
-              GenerateTop(ana, '_mvapi'+add_name, top_samples, plot, wt, sel, cat_mvapi, top_sels, not options.do_ss, doTTT, False)
-              GenerateTop(ana, '_mvanotrho'+add_name, top_samples, plot, wt, sel, cat_mvanotrho, top_sels, not options.do_ss, doTTT, False)             
-        if 'VV' not in samples_to_skip:
-            GenerateVV(ana, add_name, vv_samples, plot, wt, sel, cat, vv_sels, not options.do_ss, doVVT, doVVJ) 
-            if 'mvadm' in options.cat:
-              cat_mvarho = '('+cats['mvadm_rho']+')*('+cats['baseline']+')'
-              cat_mvaa1 = '('+cats['mvadm_a1']+')*('+cats['baseline']+')'
-              cat_mvapi = '('+cats['mvadm_pi']+')*('+cats['baseline']+')'
-              cat_mvanotrho = '('+cats['mvadm_notrho']+')*('+cats['baseline']+')'
-              GenerateVV(ana, '_mvarho'+add_name, vv_samples, plot, wt, sel, cat_mvarho, vv_sels, not options.do_ss, doVVT, False)
-              GenerateVV(ana, '_mvaa1'+add_name, vv_samples, plot, wt, sel, cat_mvaa1, vv_sels, not options.do_ss, doVVT, False)
-              GenerateVV(ana, '_mvapi'+add_name, vv_samples, plot, wt, sel, cat_mvapi, vv_sels, not options.do_ss, doVVT, False)
-              GenerateVV(ana, '_mvanotrho'+add_name, vv_samples, plot, wt, sel, cat_mvanotrho, vv_sels, not options.do_ss, doVVT, False) 
-        if 'W' not in samples_to_skip:
-            sel_mod=sel
-            if options.method==0 and True in ['baseline_aisotau1' in x for x in options.set_alias] and options.channel=='tt': sel_mod =sel+'&&(gen_match_1==6)'
-            if options.method==0 and  True in ['baseline_aisotau2' in x for x in options.set_alias] and options.channel=='tt': sel_mod =sel+'&&(gen_match_2==6)'
-            GenerateW(ana, add_name, wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel_mod, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss)
-        if 'QCD' not in samples_to_skip:
-            GenerateQCD(ana, add_name, data_samples, plot, plot_unmodified, wt, sel, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss,wshift)
-        #if 'EWKZ' not in samples_to_skip and options.era in ['smsummer16','cpsummer16','cpdecay16',"legacy16",'tauid2016','cpsummer17','tauid2017','cp18','mvadm2016'] and options.method!=0: 
-        #    GenerateEWKZ(ana, add_name, ewkz_samples, plot, wt, sel, cat, z_sels, not options.do_ss) 
-        #if 'ggH_hww' not in samples_to_skip and 'qqH_hww' not in samples_to_skip and options.analysis in ['cpprod','mssmrun2'] and options.channel == 'em':
-        #  GenerateHWW(ana, add_name, gghww_samples, qqhww_samples, plot, wt, sel, cat, not options.do_ss, True, True)    
-        if options.method==0 and options.channel=='tt':
-            sel_mod = sel
-            if True in ['baseline_aisotau1' in x for x in options.set_alias]: sel_mod =sel+'&&(gen_match_1!=6)'
-            if True in ['baseline_aisotau2' in x for x in options.set_alias]: sel_mod =sel+'&&(gen_match_2!=6)' 
-            GenerateW(ana, add_name+'_realextra', wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel_mod, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss)
-        # used to plot em QCD uncerts
-        #GenerateQCD(ana, '_shapeup', data_samples, plot, plot_unmodified, wt+'*wt_em_qcd_shapeup', sel, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss,wshift)
-        #GenerateQCD(ana, '_shapedown', data_samples, plot, plot_unmodified, wt+'*wt_em_qcd_shapedown', sel, cat, cat_data, method, qcd_os_ss_ratio, not options.do_ss,wshift)
-  
-        if compare_w_shapes:
-          cat_relax=cats['w_shape_comp']
-          GenerateW(ana, '_shape', wjets_samples, data_samples, wgam_samples, plot, plot_unmodified, wt, sel, cat_relax, cats_unmodified['w_shape_comp'], 8, qcd_os_ss_ratio, not options.do_ss)    
-        if compare_qcd_shapes:
-          if options.channel == 'em':
-            GenerateQCD(ana, '_shape', data_samples, plot, plot_unmodified, wt, sel, cat, cat_data, 19, qcd_os_ss_ratio, not options.do_ss,wshift)
-          else:
-            cat_relax=cats['qcd_shape_comp']
-            GenerateQCD(ana, '_shape', data_samples, plot, plot_unmodified, wt, sel, cat_relax,cats_unmodified['qcd_shape_comp'], method, qcd_os_ss_ratio, not options.do_ss)
-           
-    if 'signal' not in samples_to_skip:
-        if options.analysis in ['sm','cpprod','cpdecay']:
-            procs=[]
-            for proc in sm_samples:
-                if True not in [samp in proc for samp in samples_to_skip]: procs.append(proc)   
-            if options.analysis == 'cpdecay' and options.sm_masses!="": GenerateReweightedCPSignal(ana, add_name, plot, wt, sel, cat, not options.do_ss) 
-            elif options.analysis == 'cpprod' and options.sm_masses!="": GenerateReweightedCPProdSignal(ana, add_name, plot, wt, sel, cat, not options.do_ss) 
-            else: GenerateSMSignal(ana, add_name, plot, sm_masses, wt, sel, cat, not options.do_ss,processes=procs)
-        elif options.analysis in ['mssm','mssmrun2'] and (options.ggh_masses != "" or options.bbh_masses != "" or options.ggh_masses_powheg != "" or options.bbh_masses_powheg != "") :
-            bbh_add_name = ''
-            if options.bbh_nlo_masses and not options.bbh_masses_powheg: bbh_add_name = '-LO'
-            #GenerateMSSMSignal(ana, add_name, bbh_add_name, plot, ggh_masses, bbh_masses, wt, sel, cat, not options.do_ss)
-            GenerateMSSMSignal(ana, add_name, bbh_add_name, plot, [], bbh_masses, wt, sel, cat, not options.do_ss)
-            if options.add_sm_background:
-                GenerateSMSignal(ana, add_name, plot, ['125'],  wt, sel, cat, not options.do_ss, options.add_sm_background)  
-        elif options.analysis == 'Hhh':
-            GenerateHhhSignal(ana, add_name, plot, ggh_masses, wt, sel, cat, not options.do_ss)
-        elif options.analysis == 'vlq':
-            GenerateVLQSignal(ana, add_name, plot, options.vlq_sig, wt, sel, cat, not options.do_ss)
-        if options.analysis in ['mssm','mssmrun2'] and options.bbh_nlo_masses != "":
-            GenerateNLOMSSMSignal(ana, add_name, plot, [''], bbh_nlo_masses, wt, sel, cat, options.doNLOScales, options.doPDF, not options.do_ss)
-        if options.analysis in ['mssm','mssmrun2'] and options.doMSSMReWeighting:
-          GenerateReWeightedMSSMSignal(ana, add_name, plot, ggh_masses, wt, sel, cat, not options.do_ss) 
-          
-    if options.syst_embedding_tt and options.embedding and systematic == 'default':
-        GenerateTop(ana, '_embed_syst', top_samples, plot, wt, sel, cat, top_sels_embed, not options.do_ss, True, False)        
-        GenerateVV(ana, '_embed_syst', vv_samples, plot, wt, sel, cat, top_sels_embed, not options.do_ss, True, False)
-
-
-def Get1DBinNumFrom2D(h2d,xbin,ybin):
-    Nxbins = h2d.GetNbinsX()
-    return (ybin-1)*Nxbins + xbin -1
-
-
-def Get1DBinNumFrom3D(h3d,xbin,ybin,zbin):
-    Nxbins = h3d.GetNbinsX()
-    Nybins = h3d.GetNbinsY()
-    return (zbin-1)*Nxbins*Nybins + (ybin-1)*Nxbins + xbin -1
-
-
-def UnrollHist2D(h2d,inc_y_of=True):
-    # inc_y_of = True includes the y over-flow bins
-    if inc_y_of: n = 1
-    else: n = 0
-    Nbins = (h2d.GetNbinsY()+n)*(h2d.GetNbinsX())
-    h1d = ROOT.TH1D(h2d.GetName(), '', Nbins, 0, Nbins)
-    for i in range(1,h2d.GetNbinsX()+1):
-      for j in range(1,h2d.GetNbinsY()+1+n):
-        glob_bin = Get1DBinNumFrom2D(h2d,i,j)
-        content = h2d.GetBinContent(i,j)
-        error = h2d.GetBinError(i,j)
-        h1d.SetBinContent(glob_bin+1,content)
-        h1d.SetBinError(glob_bin+1,error)
-        #if 'sjdphi' in plot: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h2d.GetXaxis().GetBinLowEdge(i),h2d.GetXaxis().GetBinLowEdge(i+1)))
-        #else:
-        #  h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.0f-%.0f' % (h2d.GetXaxis().GetBinLowEdge(i),h2d.GetXaxis().GetBinLowEdge(i+1)))
-        #if 'sdphi' in options.var: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h2d.GetXaxis().GetBinLowEdge(i),h2d.GetXaxis().GetBinLowEdge(i+1)))
-    #h1d.LabelsOption('v','X')
-    return h1d
-
-
-def UnrollHist3D(h3d,inc_y_of=False,inc_z_of=True):
-    if inc_y_of: ny = 1
-    else: ny = 0
-    if inc_z_of: nz = 1
-    else: nz = 0
-    
-    Nbins = (h3d.GetNbinsZ()+nz)*(h3d.GetNbinsY()+ny)*(h3d.GetNbinsX())
-    h1d = ROOT.TH1D(h3d.GetName(), '', Nbins, 0, Nbins)
-    for i in range(1,h3d.GetNbinsX()+1):
-      for j in range(1,h3d.GetNbinsY()+1+ny):
-        for k in range(1,h3d.GetNbinsZ()+1+nz):    
-          glob_bin = Get1DBinNumFrom3D(h3d,i,j,k)
-          content = h3d.GetBinContent(i,j,k)
-          error = h3d.GetBinError(i,j,k)
-          h1d.SetBinContent(glob_bin+1,content)
-          h1d.SetBinError(glob_bin+1,error)
-          #if 'sjdphi' in plot: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h3d.GetXaxis().GetBinLowEdge(i),h3d.GetXaxis().GetBinLowEdge(i+1)))
-          #else:
-          #  h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.0f-%.0f' % (h3d.GetXaxis().GetBinLowEdge(i),h3d.GetXaxis().GetBinLowEdge(i+1)))
-         # if 'sdphi' in options.var: h1d.GetXaxis().SetBinLabel(glob_bin+1,'%.1f-%.1f' % (h3d.GetXaxis().GetBinLowEdge(i),h3d.GetXaxis().GetBinLowEdge(i+1)))
-    #h1d.LabelsOption('v','X')
-    return h1d
-
-
-def NormSignals(outfile,add_name):
-    # When adding signal samples to the data-card we want to scale all XS to 1pb - correct XS times BR is then applied at combine harvestor level
-    samples_to_skip = add_names_dict[add_name] 
-    if 'signal' not in samples_to_skip:
-        outfile.cd(nodename)
-        if options.analysis in ['sm','cpprod','cpdecay'] or options.add_sm_background:
-            if options.analysis == "sm":
-                masses = sm_masses
-            else:
-                masses = [options.add_sm_background]
-            for samp in sm_samples:
-                if options.analysis == "sm":
-                    samp_name = samp
-                else:
-                    samp_name = samp+"_SM"
-                if masses is not None:    
-                    for mass in masses:        
-                        if isinstance(sm_samples[samp], (list,)): xs = ana.info[sm_samples[samp][0].replace('*',mass)]['xs']
-                        else: xs = ana.info[sm_samples[samp].replace('*',mass)]['xs']
-                        if xs == 1.: continue
-                        sf = 1.0/xs
-                        if not outfile.GetDirectory(nodename).GetListOfKeys().Contains(samp_name+mass+add_name): continue
-                        sm_hist = outfile.Get(nodename+'/'+samp_name+mass+add_name)
-                        sm_hist.Scale(sf)
-                        sm_hist.Write("",ROOT.TObject.kOverwrite)
-        if options.analysis in ["mssm",'mssmrun2']:
-            for samp in mssm_samples:
-                if samp == 'ggH':
-                    masses = ggh_masses
-                elif samp == 'bbH' and not options.bbh_nlo_masses:
-                    masses = bbh_masses
-                elif 'bbH' in samp:
-                    masses = bbh_nlo_masses
-                if masses is not None:    
-                    for mass in masses:
-                        xs = ana.info[mssm_samples[samp].replace('*',mass)]['xs']
-                        if xs == 1.: continue
-                        sf = 1.0/xs
-                        if sf == 1.0: continue
-                        mssm_hist = outfile.Get(nodename+'/'+samp+mass+add_name)
-                        mssm_hist.Scale(sf)
-                        mssm_hist.Write("",ROOT.TObject.kOverwrite)
-                        if options.doMSSMReWeighting and samp == 'ggH': 
-                          re_weighted_names = ['ggh_t_','ggh_b_','ggh_i_','ggH_t_','ggH_b_','ggH_i_','ggA_t_','ggA_b_','ggA_i_']
-                          #re_weighted_names = ['ggH_t_','ggH_b_','ggH_i_','ggA_t_','ggA_b_','ggA_i_']
-                          for name in re_weighted_names:
-                            mssm_hist = outfile.Get(nodename+'/'+name+mass+add_name)
-                            #mssm_hist = ana.nodes[nodename].nodes[name+mass+add_name].shape.hist
-                            mssm_hist.Scale(sf)
-                            mssm_hist.Write("",ROOT.TObject.kOverwrite)
-        if options.analysis == "Hhh":
-            for samp in Hhh_samples:
-                masses = ggh_masses
-                if masses is not None:
-                    for mass in masses:
-                        xs = ana.info[Hhh_samples[samp].replace('*',mass)]['xs']
-                        if xs == 1.: continue
-                        sf = 1.0/xs
-                        mssm_hist = outfile.Get(nodename+'/'+samp+mass+add_name)
-                        mssm_hist.Scale(sf)
-                        mssm_hist.Write("",ROOT.TObject.kOverwrite)
-        if options.analysis == "vlq":
-            for samp in vlq_samples:
-              xs = ana.info[vlq_samples[samp]]['xs']
-              if xs == 1.: continue
-              sf = 1.0/xs
-              vlq_hist = outfile.Get(nodename+'/'+samp+add_name)
-              vlq_hist.Scale(sf)
-              vlq_hist.Write("",ROOT.TObject.kOverwrite)
-        outfile.cd()
-
-
-def RenameMSSMrun2Datacards(outfile):
-  chan = options.channel
-  renames = {
-   'CMS_eff_trigger_' : 'CMS_eff_trigger_emb_',
-   'CMS_eff_xtrigger_l_' : 'CMS_eff_xtrigger_l_emb_',
-   'CMS_eff_xtrigger_t_': 'CMS_eff_xtrigger_t_emb_',
-   'CMS_eff_t_': 'CMS_eff_t_emb_',
-   'CMS_scale_e' : 'CMS_scale_e_emb',
-   'CMS_scale_t_' : 'CMS_scale_t_emb_',
-   'CMS_eff_trigger_single_t_':'CMS_eff_trigger_single_t_emb_',
-   'scale_embed_met_' : 'scale_embed_met_%s_' % chan,
-  }  
-  directory = outfile.Get(nodename)
-
-
-  # count number of directories
-  count = 0
-  print nodename
-  print directory
-  print outfile    
-  for key in directory.GetListOfKeys(): 
-     count += 1
-     print key
-
-  i = 0
-  for key in directory.GetListOfKeys():
-    if i < count:
-      name = key.GetName()
-      histo = directory.Get(name)
-      if not isinstance(histo,ROOT.TDirectory) and 'EmbedZTT' in name:
-        new_name = name.replace('EmbedZTT', 'EMB')
-        histo.SetName(new_name)
-        directory.cd()
-        #histo.Write(new_name,ROOT.TObject.kWriteDelete)
-        histo.Write(new_name)
-        directory.Delete(name+';1')
-        for x in renames:
-          if x in new_name:
-            histo_clone = histo.Clone()
-            y = renames[x]
-            new_name_2 = new_name.replace(x,y)
-            print new_name,new_name_2
-            histo_clone.SetName(new_name_2)
-            histo_clone.Write(new_name_2)
-            break
-      elif not isinstance(histo,ROOT.TDirectory) and 'VVT' in name and not 'VVT_for_ZTT' in name:
-        new_name = name.replace('VVT', 'VVL')
-        histo.SetName(new_name)
-        directory.cd()
-        histo.Write(new_name)
-        directory.Delete(name+';1')
-      elif not isinstance(histo,ROOT.TDirectory) and 'TTT' in name and not 'TTT_for_ZTT' in name:
-        new_name = name.replace('TTT', 'TTL')
-        histo.SetName(new_name)
-        directory.cd()
-        histo.Write(new_name)
-        directory.Delete(name+';1')
-      elif not isinstance(histo,ROOT.TDirectory) and 'for_ZTT' in name:
-        new_name = name.replace('_for_ZTT', '')
-        histo.SetName(new_name)
-        directory.cd()
-        histo.Write(new_name)
-        directory.Delete(name+';1')
-      elif not isinstance(histo,ROOT.TDirectory) and 'Wfakes' in name:
-        new_name = name.replace('Wfakes', 'wFakes')
-        histo.SetName(new_name)
-        directory.cd()
-        histo.Write(new_name)
-        directory.Delete(name+';1')
-      #elif not isinstance(histo,ROOT.TDirectory) and ('ggH_' in name or 'ggA_' in name) and name[:6].count('_') == 1:
-        #new_name = name[:5]+'_'+name[5:]
-        #histo.SetName(new_name)
-        #directory.cd()
-        #histo.Write(new_name)
-        #directory.Delete(name+';1')
-      elif not isinstance(histo,ROOT.TDirectory) and 'bbH' in name and name[:4].count('_') == 0:
-        new_name = name[:3]+'_'+name[3:]
-        histo.SetName(new_name)
-        directory.cd()
-        histo.Write(new_name)
-        directory.Delete(name+';1')
-      #elif isinstance(histo,ROOT.TDirectory):
-      #  directory.Delete(name+';1')
-      #elif not isinstance(histo,ROOT.TDirectory) and ('WplusH' in name or 'WminusH' in name):
-        #directory.Delete(name+';1')
-      elif not isinstance(histo,ROOT.TDirectory) and 'ggH' in name and name[:4].count('_') == 0 and 'ggH125_SM' not in name and 'ggH95' not in name:
-        directory.Delete(name+';1')
-      elif not isinstance(histo,ROOT.TDirectory) and 'ggH125_SM' in name :
-        new_name = name.replace('ggH125_SM', 'ggH125')
-        histo.SetName(new_name)
-        directory.cd()
-        histo.Write(new_name)
-        directory.Delete(name+';1')
-
-
-    i += 1
-
-
-
-
-
-
-def TotalUnc(h0, hists=[]):
-  #sum in quadrature several systematic uncertainties to form total uncertainty band
-  hout = h0.Clone()
-  hup = h0.Clone()
-  hdown = h0.Clone()
-  hout.SetName(h0.GetName()+'_uncerts_total')
-  hup.SetName(h0.GetName()+'_uncerts_total_up')
-  hdown.SetName(h0.GetName()+'_uncerts_total_down')
-  for i in range(1,h0.GetNbinsX()+2):
-    x0 = h0.GetBinContent(i)
-    uncerts_up = [0.]
-    uncerts_down = [0.]
-    for h in hists:
-      x = h.GetBinContent(i)
-      if x>x0: uncerts_up.append(x-x0)
-      if x<x0: uncerts_down.append(x0-x)
-    up = 0.
-    down = 0.
-    for u in uncerts_up: up+=u**2
-    for u in uncerts_down: down+=u**2
-    up = up**.5
-    down = down**.5
-
-
-    hup.SetBinContent(i,x0+up)
-    hdown.SetBinContent(i,x0-down)
-    c = (x0+up + x0-down)/2
-    u = (up+down)/2
-    hout.SetBinContent(i,c)
-    hout.SetBinError(i,u)
-  return (hout, hup, hdown)
-
-
-def RawFFFromString(string):
-  string = string[1:-1]
-  bracket_count = 0
-  new_string = ''
-  for i in string:
-    if i == '(': bracket_count += 1
-    elif i == ')': bracket_count -= 1
-    new_string += i
-    if bracket_count == 0: break
-  return new_string
-
-
-# Create output file
-is_2d=False
-is_3d=False
-var_name = options.var.split('[')[0]
-var_name = var_name.split('(')[0]
-var_name = var_name.replace('/','_over_')
-if var_name.count(',') == 1:
-    is_2d = True
-    var_name = var_name.split(',')[0]+'_vs_'+var_name.split(',')[1]
-if var_name.count(',') == 2:
-    is_3d = True
-    var_name = var_name.split(',')[0]+'_vs_'+var_name.split(',')[1]+'_vs_'+var_name.split(',')[2]    
-
-
-if options.datacard != "": datacard_name = options.datacard
-else: datacard_name = options.cat
-if options.extra_name != "": 
-#  output_name = options.outputfolder+'/datacard_'+options.extra_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
-  datacard_name+='_'+options.extra_name
-#else: 
-if options.do_ss:
-  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'_ss.root'
-  outfile = ROOT.TFile(output_name, 'RECREATE')
-else:
-  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
-  outfile = ROOT.TFile(output_name, 'RECREATE')
-    
-cats['cat'] = '('+cats[options.cat]+')*('+cats['baseline']+')'
-if options.channel=="em": cats['em_shape_cat'] = '('+cats[options.cat]+')*('+cats['loose_baseline']+')'
-sel = options.sel
-plot = options.var
-plot_unmodified = plot
-if options.datacard != "": nodename = options.channel+'_'+options.datacard
-else: nodename = options.channel+'_'+options.cat   
-
-
-add_names_dict = {}
-add_names = []
-cats_unmodified = copy.deepcopy(cats)
-
-
-syst_names = {}
-
-
-max_systs_per_pass = 30 # code uses too much memory if we try and process too many systematics at once so set the maximum number of systematics processed per loop here
-while len(systematics) > 0:
-  ana = Analysis()
-  #if options.syst_scale_j_by_source != '': ana.writeSubnodes(False) # storing subnodes uses too much memory when doing JES uncertainties split by source
-  
-  ana.remaps = {}
-  if options.channel == 'em':
-      ana.remaps['MuonEG'] = 'data_obs'
-  elif options.channel in ['mt','mj','zmm']:
-    if options.era == '22':
-      ana.remaps['Muon'] = 'data_obs'
-    else:
-      ana.remaps['SingleMuon'] = 'data_obs'
-  elif (options.era != 'cp18' and options.era != 'UL_18') and (options.channel == 'et' or options.channel == 'zee'):
-      ana.remaps['SingleElectron'] = 'data_obs'
-  elif (options.era == 'cp18' or options.era == 'UL_18') and (options.channel == 'et' or options.channel == 'zee'):
-      ana.remaps['EGamma'] = 'data_obs'
-  elif options.channel == 'tt':
-      ana.remaps['Tau'] = 'data_obs'  
-      
-  ana.nodes.AddNode(ListNode(nodename))
-  print ana.remaps
-
-  prev_dir=None    
-  for index, systematic in enumerate(list(systematics.keys())[:max_systs_per_pass]):
-      syst_names[systematic] = systematics[systematic][1]
-      if prev_dir is not None and systematics[systematic][0] is not prev_dir: continue # this ensures that we process the same trees from every call to ana.Run() - i.e trees in sub-directory systematics[systematic][0]
-      prev_dir = systematics[systematic][0]
-      print "Processing:", systematic
-      print ""
-      print systematics[systematic][0]
-
-
-      plot = options.var
-      cats=copy.deepcopy(cats_unmodified)
-      wshift=1.0
-      if systematic == 'syst_qcd_shape_wsf_up' and w_abs_shift is not None: wshift+=w_abs_shift
-      if systematic == 'syst_qcd_shape_wsf_down' and w_abs_shift is not None: wshift-=w_abs_shift
-      if (options.syst_scale_j_by_source != '' and 'syst_scale_j_by_source' in systematic) or (options.syst_jfake_scale and 'syst_jfake_scale_approx' in systematic):
-        # if JES systematic split by source then the category and plotting variable strings need to be modified to use the shifted variables
-        replace_dict = systematics[systematic][5]  
-        for cat in cats: cats[cat] = OverwriteNames(cats[cat], replace_dict)
-        plot = OverwriteNames(plot, replace_dict)
-      
-      add_folder_name = systematics[systematic][0]
-      add_name = systematics[systematic][1]
-      isFFSyst = systematics[systematic][4]
-      ff_syst_weight = None
-      if not isFFSyst: weight = systematics[systematic][2]
-      else:
-          weight='wt'
-          ff_syst_weight = systematics[systematic][2]
-      if options.add_wt is not "": weight+="*"+options.add_wt
-      if options.channel == "tt" and options.era == 'mssmsummer16': weight+='*wt_tau_id_medium'
-      if options.channel == "tt" and options.era in ['smsummer16']: weight+='*wt_tau_id_tight'
-      if options.cat == '0jet' and options.era in ['smsummer16']: weight+='*wt_lfake_rate'
-
-
-      samples_to_skip = systematics[systematic][3]
-      add_names.append(add_name)
-      syst_add_name=add_folder_name
-      
-
-
-      mc_input_folder_name = options.folder
-      if add_folder_name != '': mc_input_folder_name += '/'+add_folder_name
-      
-      if options.signal_folder: signal_mc_input_folder_name = options.signal_folder
-      else: signal_mc_input_folder_name = options.folder
-      if add_folder_name != '': signal_mc_input_folder_name += '/'+add_folder_name
-      
-      if options.embed_folder: embed_input_folder_name = options.embed_folder
-      else: embed_input_folder_name = options.folder
-      if add_folder_name != '' and 'EmbedZTT' not in samples_to_skip: embed_input_folder_name += '/'+add_folder_name
-    
-      # Add all data files
-      for sample_name in data_samples:
-          ana.AddSamples(options.folder+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
-       
-      print("------------------")
-      print(data_samples)
-      print("------------------")
-      # Add all MC background files
-      for sample_name in ztt_samples + vv_samples + wgam_samples + top_samples + wjets_samples+ewkz_samples+gghww_samples+qqhww_samples:
-          ana.AddSamples(mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
-          #ana.AddSamples(mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', options.folder+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), sample_name) # this fixes issues if a sample is not included in systematic sub directory (e.g because systematics doesn't affect it) but at the same time can make it easier to miss issues like a sample missing that should be there 
-      print("------------------")
-      print(ztt_samples,vv_samples,wgam_samples,top_samples,wjets_samples,ewkz_samples,gghww_samples,qqhww_samples)
-      print("------------------")
-      # Add embedded samples if using
-      if options.embedding: 
-        for sample_name in embed_samples:
-          ana.AddSamples(embed_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
-          
-      # Add all MC signal files
-      
-      if options.analysis in ['sm','cpprod','cpdecay']:
-          signal_samples = sm_samples
-      elif options.analysis in ['mssm','mssmrun2']:
-          signal_samples = mssm_samples
-          if options.bbh_nlo_masses and mssm_nlo_samples: signal_samples['bbH'] = mssm_nlo_samples['bbH']
-          if options.nlo_qsh: signal_samples.update(mssm_nlo_qsh_samples)
-          if options.bbh_nlo_masses and options.bbh_masses:  signal_samples.update(mssm_lo_samples)
-      elif options.analysis == 'Hhh':
-          signal_samples = Hhh_samples
-      elif options.analysis == "vlq":
-          signal_samples = vlq_samples
-
-
-      for samp in signal_samples:
-          if options.analysis in ['sm','cpprod','cpdecay']:
-              masses=sm_masses
-          elif samp == 'ggH':
-              masses = ggh_masses
-          elif (samp == 'bbH' and not options.bbh_nlo_masses) or samp == 'bbH-LO':
-              masses = bbh_masses
-          elif 'bbH' in samp:
-              masses = bbh_nlo_masses
-          elif options.analysis == "vlq":
-              masses = None
-          if masses is not None:    
-              for mass in masses:
-                  sample_names=[]
-                  if isinstance(signal_samples[samp], (list,)): 
-                     for i in signal_samples[samp]: sample_names.append(i.replace('*',mass)) 
-                  else: sample_names = [signal_samples[samp].replace('*',mass)]
-                  tree_name = 'ntuple'
-                  if options.gen_signal: tree_name = 'gen_ntuple'
-                  for sample_name in sample_names: 
-                    #if 'amcatnloFXFX' in sample_name and False:
-                    #  new_sig_folder = '/vols/cms/dw515/Offline/output/SM/Oct26_2016_newsig/'
-                    #  if add_folder_name != '': new_sig_folder += '/'+add_folder_name
-                    ana.AddSamples(signal_mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), tree_name, None, sample_name)
-          elif options.analysis == "vlq":
-              if options.vlq_sig != "":
-                if samp in options.vlq_sig.split(","):
-                  sample_names=[]
-                  if isinstance(vlq_samples[samp], (list,)):
-                    for i in vlq_samples[samp]: sample_names.append(i)
-                  else: sample_names = [vlq_samples[samp]]
-                  for sample_name in sample_names:
-                    ana.AddSamples(signal_mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
-                   #ana.AddSamples(signal_mc_input_folder_name+'/'+signal_samples[samp]+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, signal_samples[samp])
-
-
-      if options.add_sm_background and options.analysis in ['mssm','mssmrun2']:
-          for samp in sm_samples:
-            sample_names=[]
-            if isinstance(sm_samples[samp], (list,)):
-              for i in sm_samples[samp]: sample_names.append(i.replace('*',options.add_sm_background))
-            else: sample_names = [sm_samples[samp].replace('*',options.add_sm_background)]
-            for sample_name in sample_names:
-              ana.AddSamples(signal_mc_input_folder_name+'/'+sample_name+'_'+options.channel+'_{}.root'.format(options.year), 'ntuple', None, sample_name)
-
-
-
-
-
-
-              
-      ana.AddInfo(options.paramfile, scaleTo='data_obs')
-  
-      # Add data only for default
-      if systematic == 'default': do_data = True
-      else: do_data = False
-              
-      #Run default plot 
-      if options.scheme == 'signal': 
-          samples_to_skip.extend(['TTT','TTJ','VVT','VVJ','W','QCD','jetFakes','ZLL','ZTT','ZL','EWKZ','ggH_hww'])
-          do_data = False
-      if options.scheme == "noTT":
-          samples_to_skip.extend(["TTT","TTJ"])
-      if options.scheme == "signalQCD":
-          samples_to_skip.extend(['TTT','TTJ','VVT','VVJ','W','jetFakes','ZLL','ZTT','ZL','EWKZ','ggH_hww'])
-      RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, add_name, weight, do_data, samples_to_skip,outfile,ff_syst_weight)
-      #if options.era == "tauid2016" and options.channel in ['et','mt']: 
-      #    RunPlotting(ana, cats['pass']+'&&'+cats['baseline'], cats_unmodified['pass']+'&&'+cats_unmodified['baseline'], sel, "pass"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
-      #    RunPlotting(ana, cats['fail']+'&&'+cats['baseline'], cats_unmodified['fail']+'&&'+cats_unmodified['baseline'], sel, "fail"+add_name, weight, False, samples_to_skip,outfile,ff_syst_weight)
-     
-      if options.do_custom_uncerts and options.custom_uncerts_wt_up != "" and options.custom_uncerts_wt_down !="":
-          add_names.append("_custom_uncerts_up")
-          add_names.append("_custom_uncerts_down")
-          RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, '_custom_uncerts_up', weight+'*'+options.custom_uncerts_wt_up, do_data, ['signal'],outfile,ff_syst_weight)
-          RunPlotting(ana, cats['cat'], cats_unmodified['cat'], sel, '_custom_uncerts_down', weight+'*'+options.custom_uncerts_wt_down, do_data, ['signal'],outfile,ff_syst_weight)
-
-
-      add_names_dict[add_name] = samples_to_skip
-      
-      del systematics[systematic]
-  if options.plot_from_dc == "":
-     ana.Run()
-     ana.nodes.Output(outfile)
-
-
-  # fix negative bns,empty histograms etc.
-     FixBins(ana,outfile)
-     for n in add_names: 
-       GetTotals(ana,n,outfile)
-     PrintSummary(nodename, ['data_obs'], add_names)
-
-
-if compare_w_shapes or compare_qcd_shapes: CompareShapes(compare_w_shapes, compare_qcd_shapes)
-    
-#if options.method in [17,18] and options.do_ff_systs: NormFFSysts(ana,outfile)
-if (options.era in ["smsummer16"] and options.syst_w_fake_rate and options.method != 8) or options.era in ["tauid2016"]: NormWFakeSysts(ana,outfile)
-#NormEmbedToMC(ana,outfile) # this is to check embedding sensitivity after scaling embedding to MC yields
-
-
-if options.syst_embedding_tt and options.embedding and not options.no_default: TTBarEmbeddingSyst(ana,outfile,options.syst_embedding_tt)
-
-
-if options.doNLOScales: 
-    ScaleUncertBand(nodename,outfile)
-    DONLOUncerts(nodename,outfile)
-if options.doPDF:
-    PDFUncerts(nodename,outfile)
-
-
-def Symmetrise(hist):
-  nbins = hist.GetNbinsX()
-  if nbins % 2:
-    print 'N X bins in 2D histogram is not even so cannot symmetrise!'
-    return
-  to_skip = ['data_obs','ggH','qqH','WH','WplusH','WminusH','ZH']
-  to_skip = ['data_obs']
-  if True in [x in hist.GetName() for x in to_skip]: return
-  for i in range(1,nbins/2+1):
-    lo_bin = i
-    hi_bin = nbins-i+1
-    for j in range(1,hist.GetNbinsY()+2):
-      c1 = hist.GetBinContent(lo_bin,j)
-      c2 = hist.GetBinContent(hi_bin,j)
-      e1 = hist.GetBinError(lo_bin,j)
-      e2 = hist.GetBinError(hi_bin,j)
-      cnew = (c1+c2)/2
-      enew = math.sqrt(e1**2 + e2**2)/2
-      hist.SetBinContent(lo_bin,j,cnew)
-      hist.SetBinContent(hi_bin,j,cnew)
-      hist.SetBinError(lo_bin,j,enew)
-      hist.SetBinError(hi_bin,j,enew)
-
-
-def MergeXBins(hist):
-  nxbins = hist.GetNbinsX()
-  nybins = hist.GetNbinsY()
-  nbins = hist.GetNbinsX()*hist.GetNbinsY()
-  to_skip = ['data_obs','ggH','qqH','WH','WplusH','WminusH','ZH']
-  if True in [x in hist.GetName() for x in to_skip]: return
-  for i in range(1,nybins+2):
-    tot_err = ROOT.Double()
-    tot = hist.IntegralAndError(1,nxbins,i,i,tot_err)
-    for j in range(1, nxbins+1):
-      hist.SetBinContent(j,i,tot/nxbins)
-      hist.SetBinError(j,i,tot_err/nxbins)
-
-
-## print average weights
-#x_lines = []
-#y_labels = []
-#directory = outfile.Get(nodename)
-#outfile.cd(nodename)
-#for key in directory.GetListOfKeys():
-#  hist_name = key.GetName()
-#  hist = directory.Get(hist_name).Clone()
-#
-#  if not isinstance(hist,ROOT.TDirectory):
-#    print hist.GetName(), hist.GetEntries(), hist.Integral(-1,-1)/hist.GetEntries()
-
-
-# sm 2D unrolling
-if is_2d and options.do_unrolling:
-  x_lines = []
-  y_labels = []
-  first_hist = True
-  # loop over all TH2Ds and for each one unroll to produce TH1D and add to datacard
-  directory = outfile.Get(nodename)  
-  outfile.cd(nodename)
-  hists_to_add = []
-  for key in directory.GetListOfKeys():
-    hist_name = key.GetName()
-    hist = directory.Get(hist_name).Clone()
- 
-    if not isinstance(hist,ROOT.TDirectory):
-      include_of = True
-      if 'dijet' in options.cat: include_of = False
- 
-      if options.symmetrise: Symmetrise(hist)
-      if options.mergeXbins: MergeXBins(hist)
-
-
-      h1d = UnrollHist2D(hist,include_of)
-      hists_to_add.append(h1d)
-      if first_hist:
-        first_hist=False
-        Nxbins = hist.GetNbinsX()
-        for i in range(1,hist.GetNbinsY()+1): x_lines.append(Nxbins*i)
-        for j in range(1,hist.GetNbinsY()+1): y_labels.append([hist.GetYaxis().GetBinLowEdge(j),hist.GetYaxis().GetBinLowEdge(j+1)])
-        if include_of: y_labels.append([hist.GetYaxis().GetBinLowEdge(hist.GetNbinsY()+1),-1])
-  for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
-
-
-# sm 3D unrolling
-if is_3d and options.do_unrolling:
-  x_lines = []
-  y_labels = []
-  z_labels = []
-  first_hist = True
-  # loop over all TH3Ds and for each one unroll to produce TH1D and add to datacard
-  directory = outfile.Get(nodename)
-  outfile.cd(nodename)
-  hists_to_add = []
-  for key in directory.GetListOfKeys():
-    hist_name = key.GetName()
-    hist = directory.Get(hist_name).Clone()
-    if not isinstance(hist,ROOT.TDirectory):
-      include_y_of = False
-      include_z_of = True
-      h1d = UnrollHist3D(hist,include_y_of,include_z_of)
-      hists_to_add.append(h1d)
-      if first_hist:
-        first_hist=False
-        Nxbins = hist.GetNbinsX()
-        for i in range(1,hist.GetNbinsY()+1): x_lines.append(Nxbins*i)
-        for j in range(1,hist.GetNbinsY()+1): y_labels.append([hist.GetYaxis().GetBinLowEdge(j),hist.GetYaxis().GetBinLowEdge(j+1)])
-        if include_y_of: y_labels.append([hist.GetYaxis().GetBinLowEdge(hist.GetNbinsY()+1),-1])
-        for j in range(1,hist.GetNbinsZ()+1): z_labels.append([hist.GetZaxis().GetBinLowEdge(j),hist.GetZaxis().GetBinLowEdge(j+1)])
-        if include_z_of: z_labels.append([hist.GetZaxis().GetBinLowEdge(hist.GetNbinsZ()+1),-1])
-  for hist in hists_to_add: hist.Write("",ROOT.TObject.kOverwrite)
-
-
-
-
-# make systematic uncertainty histograms
-
-
-custom_uncerts_up_name = options.custom_uncerts_up_name
-custom_uncerts_down_name = options.custom_uncerts_down_name
-#if len(syst_names)>1 and options.do_custom_uncerts:
-if options.do_custom_uncerts:
-
-
-  custom_uncerts_up_name = 'total_bkg_uncerts_total_up' 
-  custom_uncerts_down_name = 'total_bkg_uncerts_total_down' 
-
-
-  directory = outfile.Get(nodename)
-  h0 = directory.Get('total_bkg')
-  hists=[]
-
-
-  for x in syst_names:
-    if x == 'default': continue
-    h=h0.Clone()
-    syst = syst_names[x]
-    print 'add syst', x, syst, h0.Integral()
-    h.SetName(h0.GetName()+syst)
-    for key in directory.GetListOfKeys():
-      name = key.GetName()
-      if name.startswith('ggH') or name.startswith('bbH') or name.startswith('qqH') or name.startswith('VH') or name.startswith('ZH') or name.startswith('WH') or name.startswith('WplusH') or name.startswith('WminusH'): continue
-      histo = directory.Get(name)
-      if not isinstance(histo,ROOT.TDirectory) and name.endswith(syst) and not name.startswith('jetFakes_norm'):
-        #print name.replace(syst,''), name, histo.Integral() 
-        histo_nom = directory.Get(name.replace(syst,''))
-        histo.Add(histo_nom,-1)
-        if 'scale_embed_met' in name:
-          # this part scales the embed MET uncertainties to their actual values
-          scales = {
-            "mt_2018": 0.29,
-            "mt_2017": 0.69,
-            "mt_2016": 0.44,
-            "et_2018": 0.29,
-            "et_2017": 0.69,
-            "et_2016": 0.44,
-            "tt_2018": 0.29,
-            "tt_2017": 0.69,
-            "tt_2016": 0.44,
-          }
-          scale = (scales['%s_%s' % (options.channel,options.year)]**2+0.1**2)**.5
-          print 'scaling ', name, ' by ', scale
-          for i in range(1,histo.GetNbinsX()+1): 
-            histo.SetBinContent(i,histo.GetBinContent(i)*scale)
-        h.Add(histo)
-    hists.append(h.Clone())
-
-
-  norm_systs = {}
-  if options.embedding: 
-    if options.channel in ['em']:
-      norm_systs['embed_yield'] = (0.04,['EmbedZTT'])
-      norm_systs['dy_xs'] = (0.02,['ZLL'])
-      norm_systs['lumi'] = (0.025,['TTT','VVT','ZLL'])
-    else:
-      norm_systs['embed_yield'] = (0.04,['EmbedZTT'])
-      norm_systs['dy_xs'] = (0.02,['ZL'])
-      norm_systs['lumi'] = (0.025,['TTT','VVT','ZL'])
-  else: 
-    if options.channel in ['em']:
-      norm_systs['dy_xs'] = (0.02,['ZLL','ZTT'])
-      norm_systs['lumi'] = (0.025,['TTT','VVT','ZLL','ZTT'])
-    else:
-      norm_systs['dy_xs'] = (0.02,['ZL','ZTT'])
-      norm_systs['lumi'] = (0.025,['TTT','VVT','ZL','ZTT'])
-  norm_systs['ttbar_xs'] = (0.04,['TTT'])
-  norm_systs['vv_xs'] = (0.05,['VVT'])
-  if options.channel == 'tt':
-    if options.embedding: norm_systs['tau_id'] = (0.06,['EmbedZTT'])
-    else: norm_systs['tau_id'] = (0.06,['ZTT'])
-    norm_systs['wfakes_yield'] = (0.2,['Wfakes'])
-    norm_systs['l_fakerate'] = (0.05,['VVT','ZL','TTT'])
-  if options.channel in ['et','mt']:
-    if options.embedding: 
-      norm_systs['tau_id'] = (0.03,['EmbedZTT'])
-      norm_systs['l_id'] = (0.02,['EmbedZTT','TTT','VVT','ZL'])
-    else: 
-      norm_systs['tau_id'] = (0.02,['ZTT'])
-      norm_systs['l_id'] = (0.02,['ZTT','TTT','VVT','ZL'])
-    norm_systs['l_fakerate'] = (0.2,['ZL'])
-  if options.channel in ['em']:
-    if options.embedding: 
-      norm_systs['m_id'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
-      norm_systs['e_id'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
-      norm_systs['m_trg'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
-      norm_systs['e_trg'] = (0.02,['EmbedZTT','TTT','VVT','VVJ','ZLL','W'])
-    else:
-      norm_systs['m_id'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
-      norm_systs['e_id'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
-      norm_systs['m_trg'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
-      norm_systs['e_trg'] = (0.02,['ZTT','TTT','TTJ','VVT','VVJ','ZLL','W'])
-    norm_systs['l_fakerate'] = (0.2,['ZLL','W'])
-  
-  for syst in norm_systs:
-  
-    val = norm_systs[syst][0]
-    procs = norm_systs[syst][1]
-    h1 = h0.Clone()
-    h2 = h0.Clone()
-    h1.SetName(h0.GetName()+syst)
-    h2.SetName(h0.GetName()+syst)
-    for p in procs:
-      print p
-      hup = directory.Get(p).Clone()
-      hnom = directory.Get(p).Clone()
-      hup.Scale(val)
-      #print syst, p, hnom.Integral(), hup.Integral()
-      h1 = h0.Clone()
-      h2 = h0.Clone()
-      h1.Add(hup)
-      h2.Add(hup,-1)
-    hists.append(h1.Clone())
-    hists.append(h2.Clone())
-
-
-  (uncert, up, down) = TotalUnc(h0, hists)
-  outfile.cd(nodename)
-  uncert.Write()
-  up.Write()
-  down.Write()
-
-
-
-if options.scale_by_bin:
-  directory = outfile.Get(nodename)
-  QCDdirectory = directory.Get("QCD.subnodes")
-  
-  hist_den = QCDdirectory.Get("ratio_den")
-  hist_scale = QCDdirectory.Get("ratio_num").Clone()
-  hist_scale.Divide(hist_den)
-
-  
-  hist_QCD = QCDdirectory.Get("data").Clone()
-  hist_bkg = QCDdirectory.Get("total_bkg")
-  hist_QCD.Add(hist_bkg,-1)
-  hist_QCD.Multiply(hist_scale)
-  hist_QCD.SetName("QCD_bybin")
-  outfile.cd(nodename)
-  hist_QCD.Write()
-  if options.no_qcd_subtract:
-    hist_QCD_nosub = QCDdirectory.Get("data").Clone()
-    hist_QCD_nosub.Multiply(hist_scale)
-    hist_QCD_nosub.SetName("QCD_bybin_nosub")
-    hist_QCD_nosub.Write()
-
-
-if options.no_qcd_subtract:
-  directory = outfile.Get(nodename)
-  QCDdirectory = directory.Get("QCD.subnodes")
-
-  hist_QCD = QCDdirectory.Get("data").Clone()
-  den = QCDdirectory.Get("ratio_den").Integral()
-  num = QCDdirectory.Get("ratio_num").Integral()
-  hist_QCD.Scale(num/den)
-  #hist_QCD.SetEntries(hist_QCD.GetEntries()*(num/den))
-  hist_QCD.SetName("QCD_nosub")
-  outfile.cd(nodename)
-  hist_QCD.Write()
-
-outfile.Close()
-
-if options.do_unrolling==0: 
-  print "Finished Processing"
-  exit(0)
-if is_2d and not options.do_unrolling:
-  print "Finished Processing"
-  exit(0) # add options for is_3d as well!
-if options.plot_from_dc != "": output_name = options.plot_from_dc
-plot_file = ROOT.TFile(output_name, 'READ')
-
-#if options.method in [12,16] or (options.channel != "tt" and options.method == "18"):
-#    w_os = plot_file.Get(nodename+"/W.subnodes/W_os")    
-#    w_ss = plot_file.Get(nodename+"/W.subnodes/W_ss")
-#    w_os_error=ROOT.Double(0.)
-#    w_ss_error=ROOT.Double(0.)
-#    w_os_total = w_os.IntegralAndError(0,w_os.GetNbinsX()+1,w_os_error)
-#    w_ss_total = w_ss.IntegralAndError(0,w_ss.GetNbinsX()+1,w_ss_error)
-#    w_os_ss = w_os_total/w_ss_total
-#    w_os_ss_error = math.sqrt( (w_os_error/w_os_total)**2 + (w_ss_error/w_ss_total)**2 )*w_os_ss
-#
-#    print "W OS/SS ratio = ", w_os_ss, "+/-", w_os_ss_error, "("+str(100*w_os_ss_error/w_os_ss)+" %)"
-
-
-if options.custom_uncerts_wt_up != "" and options.custom_uncerts_wt_down != "": 
-    custom_uncerts_up_name = "total_bkg_custom_uncerts_up"
-    custom_uncerts_down_name = "total_bkg_custom_uncerts_down"
-elif options.custom_uncerts_up_name != '':
-    custom_uncerts_up_name = options.custom_uncerts_up_name
-    custom_uncerts_down_name = options.custom_uncerts_down_name
-
-
-
-
-if not options.no_plot:
-    #if options.extra_name != '': vname = options.extra_name
-    #else: vname = var_name
-    vname = var_name + '_' +options.extra_name
-
-
-    if options.datacard != "": plot_name = options.outputfolder+'/'+vname+'_'+options.datacard+'_'+options.channel+'_'+options.year
-    else: plot_name = options.outputfolder+'/'+vname+'_'+options.cat+'_'+options.channel+'_'+options.year
-
-    if options.plot_from_dc != "": plot_name = options.outputfolder + '/combined'     
-
-
-    if options.do_ss: plot_name += "_ss"
-    if options.log_x: plot_name += "_logx" 
-    if options.log_y: plot_name += "_logy"
-    titles = plotting.SetAxisTitles(options.var,options.channel)
-    if options.do_unrolling and is_2d: titles2d = plotting.SetAxisTitles2D(options.var,options.channel)
-    if options.x_title == "": 
-      x_title = titles[0]
-      if options.do_unrolling and is_2d: 
-        x_title = titles2d[0][0]
-    else: x_title = options.x_title
-    
-    if options.y_title == "": 
-        y_title = titles[1]
-        if options.do_unrolling and is_2d: 
-          if options.norm_bins: y_title = titles2d[0][1]
-          else: y_title = titles2d[0][1]
-          y_var_titles = titles2d[1]
-    else: y_title = options.y_title
-    scheme = options.channel
-    if compare_w_shapes: scheme = 'w_shape'
-    if compare_qcd_shapes: scheme = 'qcd_shape'
-    if options.scheme != "" and options.scheme != "signalQCD"and options.scheme != "noTT": scheme = options.scheme
-    FF = options.method in [17,18]
-    if options.ml_ff:
-      options.w_ff_closure = False
-      options.qcd_ff_closure = False
-    if "zttEmbed" in options.cat or "jetFakes" in options.cat:
-        options.blind = False
-        options.x_blind_min = -1e5
-        options.x_blind_max = -1e5 
-    if options.do_unrolling and is_2d:
-        auto_blind=False
-        options.norm_bins=False
-        plotting.HTTPlotUnrolled(nodename, 
-        plot_file, 
-        options.signal_scale, 
-        options.draw_signal_mass,
-        FF,
-        options.norm_bins,
-        options.channel,
-        options.blind,
-        options.x_blind_min,
-        options.x_blind_max,
-        auto_blind,
-        options.ratio,
-        options.log_y,
-        options.log_x,
-        options.ratio_range,
-        options.custom_x_range,
-        options.x_axis_min,
-        options.x_axis_max,
-        options.custom_y_range,
-        options.y_axis_max,
-        options.y_axis_min,
-        x_title,
-        y_title,
-        options.extra_pad,
-        options.do_custom_uncerts,
-        options.add_stat_to_syst,
-        options.add_flat_uncert,
-        options.uncert_title,
-        options.lumi,
-        plot_name,
-        custom_uncerts_up_name,
-        custom_uncerts_down_name,
-        scheme,
-        options.cat,
-        x_lines,
-        [y_labels,y_var_titles],
-        options.embedding,
-        vbf_background,
-        options.signal_scheme
-        )
-    elif scheme != 'signal':
-      auto_blind=False
-      plotnames = [[plot_name,"QCD"]]
-      if options.scale_by_bin:
-        plotnames.append([plot_name+"_bybin","QCD_bybin"])
-        if options.no_qcd_subtract:
-          plotnames.append([plot_name+"_bybin_nosub","QCD_bybin_nosub"])
-      if options.no_qcd_subtract:
-          plotnames.append([plot_name+"_nosub","QCD_nosub"])
-      for namepair in plotnames:
-        plotting.HTTPlot(nodename, 
-        plot_file, 
-        options.signal_scale, 
-        options.draw_signal_mass,
-        FF,
-        options.norm_bins,
-        options.channel,
-        options.blind,
-        options.x_blind_min,
-        options.x_blind_max,
-        options.ratio,
-        options.threePads,
-        options.ratio_log_y,
-        options.log_y,
-        options.log_x,
-        options.ratio_range,
-        options.custom_x_range,
-        options.x_axis_min,
-        options.x_axis_max,
-        options.custom_y_range,
-        options.y_axis_max,
-        options.y_axis_min,
-        x_title,
-        y_title,
-        options.extra_pad,
-        options.signal_scheme,
-        options.do_custom_uncerts,
-        options.add_stat_to_syst,
-        options.add_flat_uncert,
-        options.uncert_title,
-        options.lumi,
-        namepair[0],
-        custom_uncerts_up_name,
-        custom_uncerts_down_name,
-        scheme,
-        options.embedding,
-        vbf_background,
-        options.split_sm_scheme,
-        options.ggh_scheme,
-        options.cat,
-        split_taus,
-        auto_blind,
-        discrete_x_axis,
-        discrete_x_labels,
-        options.qcd_ff_closure,
-        options.w_ff_closure,
-        options.bkg_comp,
-        options.plot_signals.split(","),
-        namepair[1]
-        )
-    else:    
-      plotting.HTTPlotSignal(nodename, 
-        plot_file, 
-        options.signal_scale, 
-        options.draw_signal_mass,
-        options.norm_bins,
-        options.channel,
-        options.blind,
-        options.x_blind_min,
-        options.x_blind_max,
-        options.ratio,
-        options.log_y,
-        options.log_x,
-        options.ratio_range,
-        options.custom_x_range,
-        options.x_axis_min,
-        options.x_axis_max,
-        options.custom_y_range,
-        options.y_axis_max,
-        options.y_axis_min,
-        x_title,
-        y_title,
-        options.extra_pad,
-        options.signal_scheme,
-        options.do_custom_uncerts,
-        options.add_stat_to_syst,
-        options.add_flat_uncert,
-        options.uncert_title,
-        options.lumi,
-        plot_name,
-        custom_uncerts_up_name,
-        custom_uncerts_down_name
-        )
-    
-   # plotting.SoverBPlot(nodename,
-   #          plot_file,
-   #          options.channel,
-   #          options.log_y,
-   #          options.log_x,
-   #          options.custom_x_range,
-   #          options.x_axis_max,
-   #          options.x_axis_min,
-   #          options.custom_y_range,
-   #          options.y_axis_max,
-   #          options.y_axis_min,
-   #          x_title,
-   #          options.extra_pad,
-   #          plot_name+'_soverb')
-    
-   # hists = [plot_file.Get(nodename+"/bbH-LO700"), plot_file.Get(nodename+"/bbH700") ]
-   # plotting.CompareHists(hists,
-   #          ['Pythia','amc@NLO'],
-   #          "bb#phi 700",
-   #          options.ratio,
-   #          options.log_y,
-   #          options.log_x,
-   #          options.ratio_range,
-   #          options.custom_x_range,
-   #          options.x_axis_max,
-   #          options.x_axis_min,
-   #          options.custom_y_range,
-   #          options.y_axis_max,
-   #          options.y_axis_min,
-   #          x_title,
-   #          y_title,
-   #          options.extra_pad,
-   #          False,
-   #          plot_name,
-   #          "#mu#tau_{h}")
-
-#norm signal yields on datacards to 1pb AFTER plotting    
-outfile =  ROOT.TFile(output_name, 'UPDATE')
-for add_name in add_names: 
-    if options.analysis in ['mssm','mssmrun2']:
-        NormSignals(outfile,add_name)
-
-# for smsummer16 need to ad WplusH and WminusH templates into one
-if options.era in ["smsummer16",'cpsummer16','cpdecay16',"legacy16",'UL_16_preVFP','UL_16_postVFP','cpsummer17','UL_17','cp18','UL_18','mvadm2016','22'] and options.channel != 'zmm' and options.analysis != "mssmrun2":
-  outfile.cd(nodename)
-  directory = outfile.Get(nodename)
-  hists_to_add = []
-  for key in directory.GetListOfKeys():
-    hist_name = key.GetName()  
-    if 'wminush' in hist_name.lower():
-      hist_to_add_name = hist_name.replace('minus', 'plus')  
-      hist = directory.Get(hist_name).Clone()
-      hist_to_add = directory.Get(hist_to_add_name).Clone()
-      hist.Add(hist_to_add)
-      hist.SetName(hist_name.replace('minus',''))
-      hists_to_add.append(hist)
-  for hist in hists_to_add: hist.Write()
-
-if options.analysis in ['mssmrun2','vlq']: #and options.era not in ['UL_16_preVFP','UL_16_postVFP','UL_17','UL_18']: //was failing before
-   RenameMSSMrun2Datacards(outfile)
-
-
-outfile.Close()
-
-print "Finished Processing"
diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py b/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
deleted file mode 100644
index 9a725b5bf..000000000
--- a/Analysis/HiggsTauTauRun2/scripts/compare_Run2_3.py
+++ /dev/null
@@ -1,515 +0,0 @@
-import ROOT as R
-from UserCode.ICHiggsTauTau.plotting import *
-import numpy as np
-
-def MyCompareHists(hists=[],
-             legend_titles=[],
-             title="",
-             ratio=True,
-             log_y=False,
-             log_x=False,
-             ratio_range="0.7,1.3",
-             custom_x_range=False,
-             x_axis_max=4000,
-             x_axis_min=0,
-             custom_y_range=False,
-             y_axis_max=4000,
-             y_axis_min=0,
-             x_title="",
-             y_title="",
-             extra_pad=0,
-             norm_hists=False,
-             plot_name="plot",
-             label="",
-             norm_bins=True,
-             uncert_hist=None,
-             uncert_title='',
-             ReweightPlot=False,
-             output_file = None,
-             outputfolder = None,
-             integral_with_lowerlimit = None,
-             integral_with_upperlimit = None,
-             do_integral_stats=False):
-   
-    objects=[]
-    R.gROOT.SetBatch(R.kTRUE)
-    R.TH1.AddDirectory(False)
-    ModTDRStyle(r=0.04, l=0.14)
-
-    colourlist=[R.kBlue,R.kRed,R.kGreen+3,R.kBlack,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
-    if ReweightPlot:
-      colourlist=[R.kBlack,R.kBlue,R.kRed,R.kGreen+3,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
-
-    hs = R.THStack("hs","")
-    hist_count=0
-    legend_hists=[]
-    if isinstance(uncert_hist, (list,)):
-     for i in uncert_hist:
-       if i is None: continue 
-       if norm_bins and i is not None: i.Scale(1.0,"width")
-    else:
-      if norm_bins and uncert_hist is not None: uncert_hist.Scale(1.0,"width")
-
-    for hist in hists:
-        # print hist.GetName()
-        # for bin_ in range(1,hist.GetNbinsX()):
-        #     print hist.GetBinContent(bin_)
-        #     print np.sqrt(hist.GetBinContent(bin_))
-        if norm_hists: hist.Scale(1.0/hist.Integral(0, hist.GetNbinsX()+1))
-        if norm_bins: hist.Scale(1.0,"width")
-        h = hist.Clone()
-        objects.append(h)
-        h.SetFillColor(0)
-        h.SetLineWidth(3)
-        h.SetLineColor(colourlist[hist_count])
-        h.SetMarkerColor(colourlist[hist_count])
-        h.SetMarkerSize(0)
-        hs.Add(h)
-        hist_count+=1
-        o=h.Clone()
-        objects.append(o)
-        legend_hists.append(o)
-   # hs.Draw("nostack")
-        
-    c1 = R.TCanvas()
-    c1.cd()
-    
-    if ratio:
-        if ReweightPlot: pads=TwoPadSplit(0.39,0.01,0.01)
-        else: pads=TwoPadSplit(0.29,0.01,0.01)
-    else:
-        pads=OnePad()
-    pads[0].cd()
-    
-    if(log_y): pads[0].SetLogy(1)
-    if(log_x): pads[0].SetLogx(1)
-    if custom_x_range:
-        if x_axis_max > hists[0].GetXaxis().GetXmax(): x_axis_max = hists[0].GetXaxis().GetXmax()
-    if ratio:
-        if(log_x): pads[1].SetLogx(1)
-        axish = createAxisHists(2,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.01)
-        axish[1].GetXaxis().SetTitle(x_title)
-        axish[1].GetXaxis().SetLabelSize(0.03)
-        axish[1].GetYaxis().SetNdivisions(4)
-        axish[1].GetYaxis().SetTitle("Ratio")
-        #if ReweightPlot:
-        #  axish[1].GetYaxis().SetTitle("Correction")
-        axish[1].GetYaxis().SetTitleOffset(1.6)
-        axish[1].GetYaxis().SetTitleSize(0.04)
-        axish[1].GetYaxis().SetLabelSize(0.03)
-    
-        axish[0].GetXaxis().SetTitleSize(0)
-        axish[0].GetXaxis().SetLabelSize(0)
-        if custom_x_range:
-          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
-          axish[1].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
-        if custom_y_range:
-          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
-          axish[1].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
-    else:
-        axish = createAxisHists(1,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.005)
-        axish[0].GetXaxis().SetLabelSize(0.03)
-        axish[0].GetXaxis().SetTitle(x_title)
-        axish[0].GetXaxis().SetTitleSize(0.04)
-        if custom_x_range:
-          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
-        if custom_y_range:                                                                
-          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
-    axish[0].GetYaxis().SetTitle(y_title)
-    axish[0].GetYaxis().SetTitleOffset(1.6)
-    axish[0].GetYaxis().SetTitleSize(0.04)
-    axish[0].GetYaxis().SetLabelSize(0.03)
-
-    hs.Draw("nostack same")
-
-    uncert_hs = R.THStack()
-    if uncert_hist is not None:
-      if isinstance(uncert_hist, (list,)):
-         #col_list = [12,6,4,2,3,4]
-         col_list=colourlist
-         count = 0
-         for i in uncert_hist:
-           if i is not None:
-             i.SetFillColor(CreateTransparentColor(col_list[count],0.4))
-             i.SetLineColor(CreateTransparentColor(col_list[count],0.4))
-             i.SetMarkerSize(0)
-             i.SetMarkerColor(CreateTransparentColor(col_list[count],0.4))
-             i.SetFillStyle(1111)
-             uncert_hs.Add(i)
-           count+=1
-         uncert_hs.Draw("nostack e2same")  
-      else: 
-        uncert_hist.SetFillColor(CreateTransparentColor(12,0.4))
-        uncert_hist.SetLineColor(CreateTransparentColor(12,0.4))
-        uncert_hist.SetMarkerSize(0)
-        uncert_hist.SetMarkerColor(CreateTransparentColor(12,0.4))
-        uncert_hist.SetFillStyle(1111)
-        uncert_hs.Add(uncert_hist)
-        uncert_hs.Draw("e2same")
-
-      uncert_hs.Draw("nostack e2same")  
-    if not custom_y_range:
-        if(log_y):
-            if hs.GetMinimum("nostack") >0: axish[0].SetMinimum(hs.GetMinimum("nostack"))
-            else: axish[0].SetMinimum(0.0009)
-            axish[0].SetMaximum(10**((1+extra_pad)*(math.log10(1.1*hs.GetMaximum("nostack") - math.log10(axish[0].GetMinimum())))))
-        else:
-            maxi=1.1*(1+extra_pad)*max(hs.GetMaximum("nostack"),uncert_hs.GetMaximum("nostack"))
-            if not ReweightPlot: axish[0].SetMinimum(0)
-            else:
-              mini = None
-              maxi = None
-              for h in hists+uncert_hist:
-                if h is None: continue
-                for i in range(1,h.GetNbinsX()+1): 
-                  lo = h.GetBinContent(i)-h.GetBinError(i) 
-                  hi = h.GetBinContent(i)+h.GetBinError(i) 
-                  if mini is None:
-                    mini = min(lo,hi) 
-                    maxi = max(lo,hi) 
-                  else:
-                    mini = min(mini,lo,hi) 
-                    maxi = max(maxi,lo,hi) 
-              #mini = min(hs.GetMinimum("nostack"),uncert_hs.GetMinimum("nostack"))
-              mini-= abs(mini)*extra_pad
-              axish[0].SetMinimum(mini)
-              maxi*=(1.+extra_pad)
-            axish[0].SetMaximum(maxi)
-    axish[0].Draw()
-    uncert_hs.Draw("nostack e2same")  
-
-    hs.Draw("nostack hist same")
-    axish[0].Draw("axissame")
-    
-    
-    #Setup legend
-    tot = len(hists)
-    if isinstance(uncert_hist,list): tot+=len(uncert_hist)
-    legend = PositionedLegend(0.35,0.15,3,0.04)
-    legend.SetTextFont(42)
-    legend.SetTextSize(0.03)
-    legend.SetFillColor(0)
-    
-
-    for legi,hist in enumerate(legend_hists):
-        legend.AddEntry(hist,legend_titles[legi],"l")
-    if isinstance(uncert_hist, (list,)):
-     count=0
-     for i in uncert_hist:
-       if i is not None: legend.AddEntry(i,uncert_title[count],'f') 
-       count+=1
-    else:
-      if uncert_hist is not None and uncert_title: legend.AddEntry(uncert_hist,uncert_title,'f')
-    legend.Draw("same")
-    
-    #CMS label and title
-    FixTopRange(pads[0], axish[0].GetMaximum(), extra_pad if extra_pad>0 else 0.30)
-    DrawCMSLogo(pads[0], 'CMS', 'Preliminary', 11, 0.045, 0.05, 1.0, '', 1.0)
-    #DrawCMSLogo(pads[0], 'CMS', 'Simulation', 11, 0.045, 0.05, 1.0, '', 1.0)
-    DrawTitle(pads[0], title, 3)
-    
-    latex2 = R.TLatex()
-    latex2.SetNDC()
-    latex2.SetTextAngle(0)
-    latex2.SetTextColor(R.kBlack)
-    latex2.SetTextSize(0.028)
-    latex2.DrawLatex(0.145,0.955,label)
-    
-    #Add ratio plot if required
-    if ratio:
-        ratio_hs = R.THStack("ratio_hs","")
-        hist_count=0
-        pads[1].cd()
-        pads[1].SetGrid(0,1)
-        axish[1].Draw("axis")
-        axish[1].SetMinimum(float(ratio_range.split(',')[0]))
-        axish[1].SetMaximum(float(ratio_range.split(',')[1]))
-        div_hist = hists[0].Clone()
-        objects.append(div_hist)
-        
-        for i in range(0,div_hist.GetNbinsX()+2): div_hist.SetBinError(i,0)
-        first_hist=True
-        for hist in hists:
-            h = hist.Clone()
-            objects.append(h)
-
-            h.SetFillColor(0)
-            h.SetLineWidth(3)
-            h.SetLineColor(colourlist[hist_count])
-            h.SetMarkerColor(colourlist[hist_count])
-            h.SetMarkerSize(0)
-
-            h.Divide(div_hist)
-            if first_hist:
-               for i in range(1,h.GetNbinsX()+1): h.SetBinError(i,0.00001)
-               first_hist=False
-            o = h.Clone()
-            objects.append(o)
-            ratio_hs.Add(o)
-            hist_count+=1
-        if uncert_hist is not None:
-           if isinstance(uncert_hist, (list,)):
-             ratio_err_hs = R.THStack("ratio_err_hs","")
-             count=0
-             for i in uncert_hist:
-               if i is not None:
-                 h = i.Clone()
-                 objects.append(h)
-                 h.Divide(div_hist)
-                 ratio_err_hs.Add(h)
-                 h.Draw("e2same")
-               count+=1
-             #ratio_err_hs.Draw("nostack e2same")
-           else:
-             h = uncert_hist.Clone()
-             objects.append(h)
-             h.Divide(div_hist)
-             h.Draw("e2same") 
-        ratio_hs.Draw("nostack e same")  
-        pads[1].RedrawAxis("G")
-    pads[0].cd()
-    pads[0].GetFrame().Draw()
-    pads[0].RedrawAxis()
-    
-    if do_integral_stats:
-      legendstats = PositionedLegend(0.2,0.15,2,0.01)
-      legendstats.SetTextFont(42)
-      legendstats.SetTextSize(0.024)
-      legendstats.SetFillColor(0)
-      legendstats.SetHeader("Integrals")
-      
-
-      for legi,hist in enumerate(legend_hists):
-          legendstats.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(),
-                              (hist.Integral()/legend_hists[0].Integral())*100),"l")
-      if isinstance(uncert_hist, (list,)):
-        count=0
-      if uncert_hist is not None and uncert_title: legendstats.AddEntry(uncert_hist,uncert_title,'f')
-      legendstats.Draw("same")
-    
-    if type(integral_with_lowerlimit) is float or type(integral_with_lowerlimit) is int:
-      t = R.gPad.GetTopMargin()
-      r = R.gPad.GetRightMargin()
-      legendstatslim = R.TLegend(1 - r  - 0.2, 1 - t  - 0.2-0.2, 1 - r - 0.05, 1 - t -0.2, '', 'NBNDC')
-      legendstatslim.SetTextFont(42)
-      legendstatslim.SetTextSize(0.024)
-      legendstatslim.SetFillColor(0)
-      legendstatslim.SetHeader("Integrals >%.0fGeV"%integral_with_lowerlimit)
-      
-
-      for legi,hist in enumerate(legend_hists):
-          legendstatslim.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()),
-                              (hist.Integral(hist.FindBin(integral_with_lowerlimit),
-                                hist.GetNbinsX())/legend_hists[0].Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()))*100),"l")
-      legendstatslim.Draw("same")
-    if type(integral_with_upperlimit) is float or type(integral_with_upperlimit) is int:
-      t = R.gPad.GetTopMargin()
-      r = R.gPad.GetRightMargin()
-      legendstatslim = R.TLegend(1 - r  - 0.2, 1 - t  - 0.2-0.2, 1 - r - 0.05, 1 - t -0.2, '', 'NBNDC')
-      legendstatslim.SetTextFont(42)
-      legendstatslim.SetTextSize(0.024)
-      legendstatslim.SetFillColor(0)
-      legendstatslim.SetHeader("Integrals <%.0fGeV"%integral_with_upperlimit)
-      
-
-      for legi,hist in enumerate(legend_hists):
-          legendstatslim.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(1,hist.FindBin(integral_with_upperlimit)),
-                              (hist.Integral(1,hist.FindBin(integral_with_upperlimit))/legend_hists[0].Integral(1,hist.FindBin(integral_with_upperlimit)))*100),"l")
-      legendstatslim.Draw("same")          
-    
-    c1.SaveAs(outputfolder+plot_name+'.png')
-    #c1.SaveAs(outputfolder+plot_name+'.pdf')
-    if output_file is not None:
-        output_file.WriteObject(c1, plot_name)
-    for o in objects:
-        o.IsA().Destructor(o)
-    c1.Close()
-
-LUMI22 = 35.2
-LUMI18 = 59.8
-USEBYBIN = True
-DO_RATIO = True
-file18_dirname = "output_2018/"
-file22_dirname = "output_2022/"
-
-output_folder_name = "output_2018vs2022/"
-
-
-variables = [
-  
-  ["n_jets","N_{jets}"],
-  ["pt_1","p_{T}^{#tau_{1}}"],
-  ["pt_2", "p_{T}^{#tau_{2}}"],
-  ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
-  ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
-  ["pt_tt", "p_{T}^{#tau#tau}"],
-  ["m_vis","m_{#tau#tau}"]
-
-]
-
-#Name of QCD selection e.g. medium_vloose_medium_vloose:
-#"deepTauVsJets_medium_1<0.5 && deepTauVsJets_vloose_1>0.5 && deepTauVsJets_medium_2<0.5 && deepTauVsJets_vloose_2>0.5"
-selname = "medium_vloose_medium_vloose"
-
-#"OppS" and/or "SS"
-types=["OppS","SS"]
-
-for var in variables:
-  for chargetype in types:
-      
-#--------------------------------------------------------------------
-#Reading files and creating histograms - 2018
-        
-    file18names,files18,file18_dirs,hists18QCD,hists18Data,hists18Diff = [],[],[],[],[],[]
-    versions= ["v2p1","v2p5"]
-    for version in versions:
-      if chargetype == "SS":
-        file18names.append("datacard_" + var[0] + "_inclusive_" + selname +"_trg_doubletau_"+version+"_tt_2018_ss.root")
-      else:
-        file18names.append( "datacard_" + var[0] + "_inclusive_" + selname +"_trg_doubletau_"+version+ "_tt_2018.root")
-    
-    for f in file18names: files18.append( R.TFile.Open(file18_dirname + f, "READ"))
-    for f in files18: file18_dirs.append(f.Get("tt_inclusive"))
-    for f in file18_dirs: 
-      f.cd()
-      if USEBYBIN:
-        hists18QCD.append( f.Get("QCD_bybin_nosub").Clone())
-      else:
-        hists18QCD.append( f.Get("QCD_nosub").Clone())
-      
-      hists18Data.append(f.Get("data_obs").Clone())
-      hists18Diff.append(f.Get("data_obs").Clone())
-      hists18Diff[-1].SetName("DATA_minus_QCD")
-      hists18Diff[-1].Add(hists18Data[-1],hists18QCD[-1],1,-1)
-     
-    uncertQCD = hists18QCD[0].Clone()
-    for bin_i in range(1,uncertQCD.GetNbinsX()+1):
-      error = uncertQCD.GetBinContent(bin_i)
-      error = error*0.1
-      uncertQCD.SetBinError(bin_i,error)
-      
-    uncertDiff = hists18Diff[0].Clone()
-    for bin_i in range(1,uncertDiff.GetNbinsX()+1):
-      content = uncertDiff.GetBinContent(bin_i)
-      uncertDiff.SetBinContent(bin_i,content)
-      error = uncertQCD.GetBinContent(bin_i)*0.1
-      uncertDiff.SetBinError(bin_i,error)
-
-    
-    SBstatHist18 = []
-    for hist_i in range(0,len(hists18Data)):
-      SBstatHist18.append(hists18QCD[hist_i].Clone())
-      for i_bin in range(1,SBstatHist18[-1].GetNbinsX()+1):
-        if SBstatHist18[-1].GetBinContent(i_bin)<=0:
-          SBstatHist18[-1].SetBinContent(i_bin, 0)
-          SBstatHist18[-1].SetBinError(i_bin,0)
-        else:
-          SBstatHist18[-1].SetBinContent(i_bin, np.sqrt(SBstatHist18[-1].GetBinContent(i_bin)))
-          SBstatHist18[-1].SetBinError(i_bin,SBstatHist18[-1].GetBinError(i_bin)/(2*np.sqrt(SBstatHist18[-1].GetBinContent(i_bin)))) 
-          SBstatHist18[-1].Divide(hists18Data[hist_i],SBstatHist18[-1],1,1)    
-#--------------------------------------------------------------------
-#Reading files and creating histograms - 2022
-
-    file22names,files22,file22_dirs,hists22QCD,hists22Data,hists22Diff = [],[],[],[],[],[]
-    trignames = ["trg_doubletau","trg_both"]
-    for trig in trignames:
-      if chargetype == "SS":
-        file22names.append("datacard_" + var[0] + "_inclusive_" + selname +"_"+trig+ "_v2p5_tt_2022_ss.root")
-      else:
-        file22names.append( "datacard_" + var[0] + "_inclusive_" + selname+"_"+trig + "_v2p5_tt_2022.root")
-    
-    for f in file22names: files22.append( R.TFile.Open(file22_dirname + f, "READ"))
-    for f in files22: file22_dirs.append(f.Get("tt_inclusive"))
-    for f in file22_dirs: 
-      f.cd()
-      if USEBYBIN:
-        hists22QCD.append( f.Get("QCD_bybin_nosub").Clone())
-      else:
-        hists22QCD.append( f.Get("QCD_nosub").Clone())
-      
-      hists22Data.append(f.Get("data_obs").Clone())
-      hists22QCD[-1].Scale(LUMI18/LUMI22)
-      hists22Data[-1].Scale(LUMI18/LUMI22)
-      
-      hists22Diff.append(f.Get("data_obs").Clone())
-      hists22Diff[-1].SetName("DATA_minus_QCD")
-      hists22Diff[-1].Add(hists22Data[-1],hists22QCD[-1],1,-1)
-    
-    SBstatHist22 = []
-    for hist_i in range(0,len(hists22Data)):
-      SBstatHist22.append(hists22QCD[hist_i].Clone())
-      for i_bin in range(1,SBstatHist22[-1].GetNbinsX()+1):
-        if SBstatHist22[-1].GetBinContent(i_bin)<=0:
-          SBstatHist22[-1].SetBinContent(i_bin, 0)
-          SBstatHist22[-1].SetBinError(i_bin,0)
-        else:
-          SBstatHist22[-1].SetBinContent(i_bin, np.sqrt(SBstatHist22[-1].GetBinContent(i_bin)))
-          SBstatHist22[-1].SetBinError(i_bin,SBstatHist22[-1].GetBinError(i_bin)/(2*np.sqrt(SBstatHist22[-1].GetBinContent(i_bin)))) 
-          SBstatHist22[-1].Divide(hists22Data[hist_i],SBstatHist22[-1],1,1)
-
-#--------------------------------------------------------------------
-#Outputfile
-    output = R.TFile(output_folder_name+"/"+var[0]+"_"+selname+"_"+chargetype+".root","RECREATE")
-    
-#--------------------------------------------------------------------    
-    for histtype in [[hists18Data,hists22Data,"Data",None],[hists18QCD,hists22QCD,"QCD",uncertQCD],
-                 [hists18Diff,hists22Diff,"nonQCD",uncertDiff]]:
-      legend_titles = ["2018 %s"%(ver) for ver in versions] + [
-        "2022 %s"%(trig) for trig in ["doubletau","doubletau+jet"]
-      ]      
-      if var[0] == "n_jets":
-        MyCompareHists(hists = histtype[0]+histtype[1],
-                legend_titles = legend_titles,
-                title="%s (%s) %.1f fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign"),LUMI18), extra_pad=0,ratio_range="0.5,2",
-                x_title = var[1], y_title = "Events",plot_name =
-                var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
-                outputfolder=output_folder_name,uncert_hist=histtype[3],
-                uncert_title=
-                ("Systematic Error" if histtype[3] is not None else ''))
-      elif var[0] == "pt_tt":
-        MyCompareHists(hists = histtype[0]+histtype[1],
-                legend_titles = legend_titles,
-                title="%s (%s) %.1f fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign"),LUMI18), extra_pad=0,ratio_range="0.3,2",
-                x_title = var[1], y_title = "Events",plot_name =
-                var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
-                outputfolder=output_folder_name, integral_with_lowerlimit=None,uncert_hist=histtype[3],uncert_title=
-                ("Systematic Error" if histtype[3] is not None else ''))        
-      else:
-        MyCompareHists(hists = histtype[0]+histtype[1],
-                legend_titles = legend_titles,
-                title="%s (%s) %.1f fb^{-1}"%(histtype[2],("Same-Sign" if chargetype=="SS" else "Opposite-Sign"),LUMI18), extra_pad=0,ratio_range="0.5,2",
-                x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =
-                var[0]+"_"+selname+"_"+chargetype+"_"+histtype[2], output_file = output, ratio = DO_RATIO,
-                outputfolder=output_folder_name,uncert_hist=histtype[3], uncert_title=
-                ("Systematic Error" if histtype[3] is not None else ''),integral_with_upperlimit=None)
-      
-      print("\n ------------------------%s %s %s------------------------"%(var[0],histtype[2],chargetype))
-      counter=0
-      if var[0] == "m_vis":
-        upper_limit=80
-        for hist in histtype[0]+histtype[1]:
-          print("\n%s:"%(legend_titles[counter]))
-          print("Total: %d (%.1f%%)"%(hist.Integral(1,hist.GetNbinsX()),(hist.Integral(1,hist.GetNbinsX())/histtype[0][0].Integral(1,hist.GetNbinsX()))*100))
-          print("Up to %dGeV: %d (%.1f%%)"%(upper_limit,hist.Integral(1,hist.FindBin(upper_limit)),(hist.Integral(1,hist.FindBin(upper_limit))/histtype[0][0]. Integral(1,hist.FindBin(upper_limit)))*100))
-          counter+=1
-      if var[0] == "pt_tt":
-        lower_limit=100
-        for hist in histtype[0]+histtype[1]:
-          print("\n%s:"%(legend_titles[counter]))
-          print("Total: %d (%.1f%%)"%(hist.Integral(1,hist.GetNbinsX()),(hist.Integral(1,hist.GetNbinsX())/histtype[0][0].Integral(1,hist.GetNbinsX()))*100))
-          print("From %dGeV: %d (%.1f%%)"%(lower_limit,hist.Integral(hist.FindBin(lower_limit),hist.GetNbinsX()),(hist.Integral(hist.FindBin(lower_limit),hist.GetNbinsX())/histtype[0][0]. Integral(hist.FindBin(lower_limit),hist.GetNbinsX()))*100))
-          counter+=1
-        
-#legendstatslim.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()),(hist.Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX())/legend_hists[0].Integral(hist.FindBin(integral_with_lowerlimit),hist.GetNbinsX()))*100),"l")        
-#-------------------------------------------------------------------- 
-    # MyCompareHists(hists = SBstatHist18+SBstatHist22,
-    #             legend_titles = legend_titles,
-    #             title="S/#sqrt{B} %s (%s)"%(histtype[2],chargetype), extra_pad=0,ratio_range="0.5,2.5",
-    #             x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =
-    #             var[0]+"_"+selname+"_"+chargetype, output_file = output, ratio = True, outputfolder=output_folder_name)
-
-        
-#--------------------------------------------------------------------        
-    for f in files18: f.Close()
-    for f in files22: f.Close()
-
diff --git a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py b/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
deleted file mode 100644
index b56eebb6f..000000000
--- a/Analysis/HiggsTauTauRun2/scripts/compare_qcdmethods.py
+++ /dev/null
@@ -1,441 +0,0 @@
-import ROOT as R
-from UserCode.ICHiggsTauTau.plotting import *
-import numpy as np
-
-PLOTBYBIN = True
-DOCHI2 = False #Chi2 comparison of QCD fits, produces a text file in the outputfolder named "chi2test.txt"
-infiles_dirname = "output_2018/"
-output_folder_name = "output_2018qcdcompare/"
-
-def MyCompareHists(hists=[],
-             legend_titles=[],
-             title="",
-             ratio=True,
-             log_y=False,
-             log_x=False,
-             ratio_range="0.7,1.3",
-             custom_x_range=False,
-             x_axis_max=4000,
-             x_axis_min=0,
-             custom_y_range=False,
-             y_axis_max=4000,
-             y_axis_min=0,
-             x_title="",
-             y_title="",
-             extra_pad=0,
-             norm_hists=False,
-             plot_name="plot",
-             label="",
-             norm_bins=True,
-             uncert_hist=None,
-             uncert_title='',
-             ReweightPlot=False,
-             output_file = None,
-             outputfolder = None):
-   
-    objects=[]
-    R.gROOT.SetBatch(R.kTRUE)
-    R.TH1.AddDirectory(False)
-    ModTDRStyle(r=0.04, l=0.14)
-
-    colourlist=[R.kBlue,R.kRed,R.kGreen+3,R.kBlack,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
-    if ReweightPlot:
-      colourlist=[R.kBlack,R.kBlue,R.kRed,R.kGreen+3,R.kYellow+2,R.kOrange,R.kCyan+3,R.kMagenta+2,R.kViolet-5,R.kGray]
-
-    hs = R.THStack("hs","")
-    hist_count=0
-    legend_hists=[]
-    if isinstance(uncert_hist, (list,)):
-     for i in uncert_hist:
-       if i is None: continue 
-       if norm_bins and i is not None: i.Scale(1.0,"width")
-    else:
-      if norm_bins and uncert_hist is not None: uncert_hist.Scale(1.0,"width")
-
-    for hist in hists:
-        # print hist.GetName()
-        # for bin_ in range(1,hist.GetNbinsX()):
-        #     print hist.GetBinContent(bin_)
-        #     print np.sqrt(hist.GetBinContent(bin_))
-        if norm_hists: hist.Scale(1.0/hist.Integral(0, hist.GetNbinsX()+1))
-        if norm_bins: hist.Scale(1.0,"width")
-        h = hist.Clone()
-        objects.append(h)
-        h.SetFillColor(0)
-        h.SetLineWidth(3)
-        h.SetLineColor(colourlist[hist_count])
-        h.SetMarkerColor(colourlist[hist_count])
-        h.SetMarkerSize(0)
-        hs.Add(h)
-        hist_count+=1
-        o=h.Clone()
-        objects.append(o)
-        legend_hists.append(o)
-   # hs.Draw("nostack")
-        
-    c1 = R.TCanvas()
-    c1.cd()
-    
-    if ratio:
-        if ReweightPlot: pads=TwoPadSplit(0.39,0.01,0.01)
-        else: pads=TwoPadSplit(0.29,0.01,0.01)
-    else:
-        pads=OnePad()
-    pads[0].cd()
-    
-    if(log_y): pads[0].SetLogy(1)
-    if(log_x): pads[0].SetLogx(1)
-    if custom_x_range:
-        if x_axis_max > hists[0].GetXaxis().GetXmax(): x_axis_max = hists[0].GetXaxis().GetXmax()
-    if ratio:
-        if(log_x): pads[1].SetLogx(1)
-        axish = createAxisHists(2,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.01)
-        axish[1].GetXaxis().SetTitle(x_title)
-        axish[1].GetXaxis().SetLabelSize(0.03)
-        axish[1].GetYaxis().SetNdivisions(4)
-        axish[1].GetYaxis().SetTitle("Ratio")
-        #if ReweightPlot:
-        #  axish[1].GetYaxis().SetTitle("Correction")
-        axish[1].GetYaxis().SetTitleOffset(1.6)
-        axish[1].GetYaxis().SetTitleSize(0.04)
-        axish[1].GetYaxis().SetLabelSize(0.03)
-    
-        axish[0].GetXaxis().SetTitleSize(0)
-        axish[0].GetXaxis().SetLabelSize(0)
-        if custom_x_range:
-          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
-          axish[1].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
-        if custom_y_range:
-          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
-          axish[1].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
-    else:
-        axish = createAxisHists(1,hists[0],hists[0].GetXaxis().GetXmin(),hists[0].GetXaxis().GetXmax()-0.005)
-        axish[0].GetXaxis().SetLabelSize(0.03)
-        axish[0].GetXaxis().SetTitle(x_title)
-        axish[0].GetXaxis().SetTitleSize(0.04)
-        if custom_x_range:
-          axish[0].GetXaxis().SetRangeUser(x_axis_min,x_axis_max-0.01)
-        if custom_y_range:                                                                
-          axish[0].GetYaxis().SetRangeUser(y_axis_min,y_axis_max)
-    axish[0].GetYaxis().SetTitle(y_title)
-    axish[0].GetYaxis().SetTitleOffset(1.6)
-    axish[0].GetYaxis().SetTitleSize(0.04)
-    axish[0].GetYaxis().SetLabelSize(0.03)
-
-    hs.Draw("nostack same")
-
-    uncert_hs = R.THStack()
-    if uncert_hist is not None:
-      if isinstance(uncert_hist, (list,)):
-         #col_list = [12,6,4,2,3,4]
-         col_list=colourlist
-         count = 0
-         for i in uncert_hist:
-           if i is not None:
-             i.SetFillColor(CreateTransparentColor(col_list[count],0.4))
-             i.SetLineColor(CreateTransparentColor(col_list[count],0.4))
-             i.SetMarkerSize(0)
-             i.SetMarkerColor(CreateTransparentColor(col_list[count],0.4))
-             i.SetFillStyle(1111)
-             uncert_hs.Add(i)
-           count+=1
-         uncert_hs.Draw("nostack e2same")  
-      else: 
-        uncert_hist.SetFillColor(CreateTransparentColor(12,0.4))
-        uncert_hist.SetLineColor(CreateTransparentColor(12,0.4))
-        uncert_hist.SetMarkerSize(0)
-        uncert_hist.SetMarkerColor(CreateTransparentColor(12,0.4))
-        uncert_hist.SetFillStyle(1111)
-        uncert_hs.Add(uncert_hist)
-        uncert_hs.Draw("e2same")
-
-      uncert_hs.Draw("nostack e2same")  
-    if not custom_y_range:
-        if(log_y):
-            if hs.GetMinimum("nostack") >0: axish[0].SetMinimum(hs.GetMinimum("nostack"))
-            else: axish[0].SetMinimum(0.0009)
-            axish[0].SetMaximum(10**((1+extra_pad)*(math.log10(1.1*hs.GetMaximum("nostack") - math.log10(axish[0].GetMinimum())))))
-        else:
-            maxi=1.1*(1+extra_pad)*max(hs.GetMaximum("nostack"),uncert_hs.GetMaximum("nostack"))
-            if not ReweightPlot: axish[0].SetMinimum(0)
-            else:
-              mini = None
-              maxi = None
-              for h in hists+uncert_hist:
-                if h is None: continue
-                for i in range(1,h.GetNbinsX()+1): 
-                  lo = h.GetBinContent(i)-h.GetBinError(i) 
-                  hi = h.GetBinContent(i)+h.GetBinError(i) 
-                  if mini is None:
-                    mini = min(lo,hi) 
-                    maxi = max(lo,hi) 
-                  else:
-                    mini = min(mini,lo,hi) 
-                    maxi = max(maxi,lo,hi) 
-              #mini = min(hs.GetMinimum("nostack"),uncert_hs.GetMinimum("nostack"))
-              mini-= abs(mini)*extra_pad
-              axish[0].SetMinimum(mini)
-              maxi*=(1.+extra_pad)
-            axish[0].SetMaximum(maxi)
-    axish[0].Draw()
-    uncert_hs.Draw("nostack e2same")  
-
-    hs.Draw("nostack hist same")
-    axish[0].Draw("axissame")
-    
-    
-    #Setup legend
-    tot = len(hists)
-    if isinstance(uncert_hist,list): tot+=len(uncert_hist)
-    legend = PositionedLegend(0.3,0.1,2,0.04)
-    legend.SetTextFont(42)
-    legend.SetTextSize(0.035)
-    legend.SetFillColor(0)
-    
-
-    for legi,hist in enumerate(legend_hists):
-        legend.AddEntry(hist,legend_titles[legi],"l")
-    if isinstance(uncert_hist, (list,)):
-     count=0
-     for i in uncert_hist:
-       if i is not None: legend.AddEntry(i,uncert_title[count],'f') 
-       count+=1
-    else:
-      if uncert_hist is not None and uncert_title: legend.AddEntry(uncert_hist,uncert_title,'f')
-    legend.Draw("same")
-    
-    #CMS label and title
-    FixTopRange(pads[0], axish[0].GetMaximum(), extra_pad if extra_pad>0 else 0.30)
-    DrawCMSLogo(pads[0], 'CMS', 'Preliminary', 11, 0.045, 0.05, 1.0, '', 1.0)
-    #DrawCMSLogo(pads[0], 'CMS', 'Simulation', 11, 0.045, 0.05, 1.0, '', 1.0)
-    DrawTitle(pads[0], title, 3)
-    
-    latex2 = R.TLatex()
-    latex2.SetNDC()
-    latex2.SetTextAngle(0)
-    latex2.SetTextColor(R.kBlack)
-    latex2.SetTextSize(0.028)
-    latex2.DrawLatex(0.145,0.955,label)
-    
-    #Add ratio plot if required
-    if ratio:
-        ratio_hs = R.THStack("ratio_hs","")
-        hist_count=0
-        pads[1].cd()
-        pads[1].SetGrid(0,1)
-        axish[1].Draw("axis")
-        axish[1].SetMinimum(float(ratio_range.split(',')[0]))
-        axish[1].SetMaximum(float(ratio_range.split(',')[1]))
-        div_hist = hists[0].Clone()
-        objects.append(div_hist)
-        
-        for i in range(0,div_hist.GetNbinsX()+2): div_hist.SetBinError(i,0)
-        first_hist=True
-        for hist in hists:
-            h = hist.Clone()
-            objects.append(h)
-
-            h.SetFillColor(0)
-            h.SetLineWidth(3)
-            h.SetLineColor(colourlist[hist_count])
-            h.SetMarkerColor(colourlist[hist_count])
-            h.SetMarkerSize(0)
-
-            h.Divide(div_hist)
-            if first_hist:
-               for i in range(1,h.GetNbinsX()+1): h.SetBinError(i,0.00001)
-               first_hist=False
-            o = h.Clone()
-            objects.append(o)
-            ratio_hs.Add(o)
-            hist_count+=1
-        if uncert_hist is not None:
-           if isinstance(uncert_hist, (list,)):
-             ratio_err_hs = R.THStack("ratio_err_hs","")
-             count=0
-             for i in uncert_hist:
-               if i is not None:
-                 h = i.Clone()
-                 objects.append(h)
-                 h.Divide(div_hist)
-                 ratio_err_hs.Add(h)
-                 h.Draw("e2same")
-               count+=1
-             #ratio_err_hs.Draw("nostack e2same")
-           else:
-             h = uncert_hist.Clone()
-             objects.append(h)
-             h.Divide(div_hist)
-             h.Draw("e2same") 
-        ratio_hs.Draw("nostack e same")  
-        pads[1].RedrawAxis("G")
-    pads[0].cd()
-    pads[0].GetFrame().Draw()
-    pads[0].RedrawAxis()
-    
-    
-    legendstats = PositionedLegend(0.3,0.25,3,0.04)
-    legendstats.SetTextFont(42)
-    legendstats.SetTextSize(0.044)
-    legendstats.SetFillColor(0)
-    legendstats.SetHeader("         Integrals")
-    
-
-    for legi,hist in enumerate(legend_hists):
-        legendstats.AddEntry(hist,"%i (%.1f%%)"%(hist.Integral(),
-                            (hist.Integral()/legend_hists[0].Integral())*100),"l")
-    if isinstance(uncert_hist, (list,)):
-     count=0
-     for i in uncert_hist:
-       if i is not None: legendstats.AddEntry(i,uncert_title[count],'f') 
-       count+=1
-    else:
-      if uncert_hist is not None and uncert_title: legendstats.AddEntry(uncert_hist,uncert_title,'f')
-    legendstats.Draw("same")
-    
-    c1.SaveAs(outputfolder+plot_name+'.png')
-    c1.SaveAs(outputfolder+plot_name+'.pdf')
-    if output_file is not None:
-        output_file.WriteObject(c1, plot_name)
-    for o in objects:
-        o.IsA().Destructor(o)
-    c1.Close()
-
-variables = [
-  
-  ["n_jets","N_{jets}"],
-  ["pt_1","p_{T}^{#tau_{1}}"],
-  ["pt_2", "p_{T}^{#tau_{2}}"],
-  ["mt_1", "m_{T}(p_{T}^{#tau_{1}},p_{T}^{miss})"],
-  ["mt_2","m_{T}(p_{T}^{#tau_{2}},p_{T}^{miss})"],
-  ["m_vis","m_{#tau#tau}"],
-  ["pt_tt", "p_{T}^{#tau#tau}"]
-
-]
-
-selnames = [
-            "medium_vloose_medium_vloose",
-            "medium_vloose_medium",
-            # "medium_vvvloose_medium",
-            # "vloose_vvvloose_medium",
-            "medium_vvvloose_medium_vvvloose"
-            # "vloose_vvvloose_vloose_vvvloose"
-            ]
-
-types=["SS","OppS"]
-
-version = "v2p5"
-
-if DOCHI2: chi2file = open(output_folder_name+'chi2test.txt','w')
-
-selnames_array = np.expand_dims(np.array(selnames,dtype = object),axis=1)
-
-for var in variables:
-  if DOCHI2:
-    chi2file.write("----------- %s ------------ \n"% var[0])
-    ChiList = []
-    ChiList_SS = []
-  for sel in selnames:
-    for chargetype in types:
-#--------------------------------------------------------------------
-      filename = "datacard_"+var[0]+"_inclusive_"+sel+"_trg_doubletau_"+version+"_tt_2018"
-      if chargetype == "SS":
-        file= R.TFile.Open(infiles_dirname+filename+"_ss.root", "READ")
-      else:
-        file= R.TFile.Open(infiles_dirname+filename+".root", "READ")
-      file_dir = file.Get("tt_inclusive")
-      (file_dir).cd()
-      if PLOTBYBIN:
-        hist_w_qcdsub_bybin = file_dir.Get("QCD_bybin")
-        hist_wo_qcdsub_bybin = file_dir.Get("QCD_bybin_nosub")
-        sub_hist_w_qcdsub_bybin = file_dir.Get("data_obs").Clone()
-        tot_bkg_hist_w = file_dir.Get("total_bkg")
-        sub_hist_w_qcdsub_bybin.Add(tot_bkg_hist_w,-1)
-        sub_hist_w_qcdsub_bybin.Add(hist_w_qcdsub_bybin)
-        
-      hist_w_qcdsub = file_dir.Get("QCD")
-      hist_wo_qcdsub = file_dir.Get("QCD_nosub")
-      
-      sub_hist_w_qcdsub = file_dir.Get("data_obs").Clone()
-      tot_bkg_hist_w = file_dir.Get("total_bkg")
-      sub_hist_w_qcdsub.Add(tot_bkg_hist_w,-1)
-      sub_hist_w_qcdsub.Add(hist_w_qcdsub)
-#--------------------------------------------------------------------
-      if DOCHI2:
-        p = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW")
-        chi2 = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2")
-        chi2NDF = hist_wo_qcdsub.Chi2Test(hist_w_qcdsub,"WW CHI2/NDF")
-        p_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW")
-        chi2_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2")
-        chi2NDF_obs = hist_w_qcdsub.Chi2Test(sub_hist_w_qcdsub,"WW CHI2/NDF")      
-        
-        if chargetype == "SS":
-          ChiList_SS.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
-        else:
-          ChiList.append([p,chi2,chi2NDF,p_obs,chi2_obs,chi2NDF_obs])
-#--------------------------------------------------------------------
-      if PLOTBYBIN:     
-        output_file = R.TFile(output_folder_name+"/"+var[0]+"_"+sel+"_bybin_"+chargetype+".root","RECREATE")
-        plot_name = var[0]+"_"+sel+"_bybin_"+chargetype
-        if var[0] == "n_jets":
-          MyCompareHists(hists = [hist_w_qcdsub_bybin,hist_wo_qcdsub_bybin],
-                legend_titles = ["QCD - MC","Data Only"],
-                title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
-                x_title = var[1], y_title = "Events",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)
-        else:
-          MyCompareHists(hists = [hist_w_qcdsub_bybin,hist_wo_qcdsub_bybin],
-                legend_titles = ["QCD - MC","Data Only"],
-                title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
-                x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)        
-      output_file = R.TFile(output_folder_name+"/"+var[0]+"_"+sel+"_"+chargetype+".root","RECREATE")
-      plot_name = var[0]+"_"+sel+"_"+chargetype
-      if var[0] == "n_jets":
-        MyCompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub],
-              legend_titles = ["QCD - MC","Data Only"],
-              title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
-              x_title = var[1], y_title = "Events",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)
-      else:
-        MyCompareHists(hists = [hist_w_qcdsub,hist_wo_qcdsub],
-              legend_titles = ["QCD - MC","Data Only"],
-              title="Run 2 Data (%s) 59.7 fb^{-1} (13 TeV)"%chargetype, extra_pad=0.2,ratio_range="0.8,1.2",
-              x_title = var[1]+" (GeV)", y_title = "Events/GeV",plot_name =plot_name, output_file = output_file, outputfolder=output_folder_name)
-
-#--------------------------------------------------------------------  
-      output_file.Close()
-      file.Close()
-#--------------------------------------------------------------------
-  if DOCHI2:      
-    ChiList_SS = np.array(ChiList_SS,dtype = object)
-    ChiList = np.array(ChiList,dtype = object)
-    ChiList = np.concatenate((selnames_array,ChiList), axis=1)
-    ChiList_SS = np.concatenate((selnames_array,ChiList_SS), axis=1)
-    ChiList = ChiList[ChiList[:,3].argsort()]
-    ChiList_SS = ChiList_SS[ChiList_SS[:,3].argsort()]
-    chi2file.write("------------ OppS ------------ \n")
-    order = 1
-    for ChiVar in ChiList:
-      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
-                                                              ChiVar[2],ChiVar[3]))
-      order+=1
-    chi2file.write("------------- SS ------------ \n")
-    order = 1
-    for ChiVar in ChiList_SS:
-      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[1],
-                                                              ChiVar[2],ChiVar[3]))    
-      order+=1
-      
-    chi2file.write("------------ Compared to BKG------------ \n")
-    ChiList = ChiList[ChiList[:,-1].argsort()]
-    ChiList_SS = ChiList_SS[ChiList_SS[:,-1].argsort()]
-    chi2file.write("------------ OppS ------------ \n")
-    order = 1
-    for ChiVar in ChiList:
-      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
-                                                              ChiVar[5],ChiVar[6]))  
-      order+=1
-    chi2file.write("------------- SS ------------ \n")
-    order = 1
-    for ChiVar in ChiList_SS:
-      chi2file.write("%i Type: %s\np: %.5f, chi2: %.5f, chi2/ndf: %.5f\n"%(order,ChiVar[0],ChiVar[4],
-                                                              ChiVar[5],ChiVar[6]))    
-      order+=1
diff --git a/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json b/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
index df71ff498..5fe080021 100644
--- a/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
+++ b/Analysis/HiggsTauTauRun2/scripts/config_UL_2018.json
@@ -6,7 +6,7 @@
     "timings":      true,
    //"channels":     ["mt","et","tt","zmm","zee","em"],
    // "channels":     ["mt","zmm","tt","et"],
-    "channels":     ["tt"],
+    "channels":     ["mt","zmm"],
 //   "channels":     ["tt","mt","et","em","zmm","zee"],
     "sequences": {
       "all":  ["default"]
@@ -67,7 +67,7 @@
     "do_pdf_wts": false,
     "do_qcd_scale_wts": false,
     //"output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_sync_v2/",
-    "output_folder" : "/vols/cms/eb921/output/tt_UL_2018",
+    "output_folder" : "/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_v2/",
     "svfit_from_grid" : true,
     "read_all_svfit_files" : true,
     "svfit_folder"  : "/vols/cms/dw515/outputs/MSSM/mssm_2018_tres1_v2_svfit/",
diff --git a/Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py b/Analysis/HiggsTauTauRun2/scripts/control_plots_2022_mt.py
similarity index 100%
rename from Analysis/HiggsTauTauRun2/scripts/mt_control_plots.py
rename to Analysis/HiggsTauTauRun2/scripts/control_plots_2022_mt.py
diff --git a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
index 92ea7021c..9224ed74e 100644
--- a/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
+++ b/Analysis/HiggsTauTauRun2/scripts/plot_UL_2018.cfg
@@ -1,18 +1,17 @@
 [Defaults]
 analysis=mssmrun2
 paramfile=scripts/params_UL_2018.json
-folder=/vols/cms/eb921/output/tt_UL_2018/
+folder=/vols/cms/dw515/outputs/MSSM/UL_Mar31_2018_v2/
 era=UL_18
 sm_masses=""
 draw_signal_mass=""
+#ggh_masses=80,90,100,110,120,130,140,160,180,200,250,300,400,450,600,700,800,1200,1400,1500,1600,1800,2000,2600,2900,3200
+#bbh_nlo_masses=80,90,100,110,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+ggh_masses_powheg=60,80,95,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
+bbh_masses_powheg=60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500
 year=2018
 norm_bins=True
 ratio=True
-lumi=59.8 fb^{-1} (13 TeV)
+lumi=59.7 fb^{-1} (13 TeV)
 vbf_background=False
-wp=medium
-channel=tt
-method=8
-outputfolder=output_2018
-no_qcd_subtract=True
-scale_by_bin=True
\ No newline at end of file
+wp = medium
diff --git a/Analysis/HiggsTauTauRun2/src/BTagCheck.cc b/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
index 78311e46b..108dc046d 100644
--- a/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
+++ b/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
@@ -322,9 +322,13 @@ namespace ic {
 	  if (wp_to_check_ == "tight") tight_wp = 0.2783; // medium deepJet wp
 	  else if (wp_to_check_ == "loose") tight_wp = 0.0490; // loose deepJet wp
         }
-	else if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) && use_deep_jet_) {
-	  if (wp_to_check_ == "tight") tight_wp = 0.2783; // medium deepJet wp
-	  else if (wp_to_check_ == "loose") tight_wp = 0.0490; // loose deepJet wp
+	else if (era_ == era::data_2022_preEE) && use_deep_jet_) {
+	  if (wp_to_check_ == "tight") tight_wp = 0.303; // medium deepJet wp
+	  else if (wp_to_check_ == "loose") tight_wp = 0.0474; // loose deepJet wp
+        }
+        else if (era_ == era::data_2022_postEE && use_deep_jet_) {
+          if (wp_to_check_ == "tight") tight_wp = 0.3179; // medium deepJet wp
+          else if (wp_to_check_ == "loose") tight_wp = 0.0492; // loose deepJet wp
         }
         if(jet_flavour == 5){
           if((era_ != era::data_2016 && era_ != era::data_2017 && era_ != era::data_2018) || ((era_ != era::data_2016 || era_ != era::data_2016UL_preVFP || era_ != era::data_2016UL_preVFP) && era_ != era::data_2017UL && era_ != era::data_2018UL && era_ != era::data_2022_preEE && era_ != era::data_2022_postEE)){
diff --git a/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc b/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc
index 2acded7fd..d4f0cfc85 100644
--- a/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc
+++ b/Analysis/HiggsTauTauRun2/src/BTagWeightLegacyRun2.cc
@@ -218,9 +218,13 @@ namespace ic {
         tight_wp = 0.2783; // medium deepJet wp
         loose_wp = 0.0490; // loose deepJet wp
       }
-      else if ((era_ == era::data_2022_preEE || era_ == era::data_2022_postEE )&& use_deep_jet_){
-        tight_wp = 0.2783; // medium deepJet wp
-        loose_wp = 0.0490; // loose deepJet wp
+      else if (era_ == era::data_2022_preEE  && use_deep_jet_) {
+        tight_wp          = 0.303;
+        loose_wp = 0.0474; // loose deepJet wp
+      }
+      else if (era_ == era::data_2022_postEE  && use_deep_jet_) {
+        tight_wp          = 0.3179;
+        loose_wp = 0.0492; // loose deepJet wp
       }      
       for (unsigned j = 0; j < sf_tight.size(); j++) {
         double p_mc = 1.;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTCategories.cc b/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
index f083a2db8..ac069f666 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTCategories.cc
@@ -2709,14 +2709,22 @@ namespace ic {
 
       deepjet_wp = 0.2783;
     }
-    if (era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
+    if (era_ == era::data_2022_preEE) {
       btag_wp = 0.4184;
       loose_btag_wp = 0.1241;
       btag_label = "pfDeepCSVJetTags:probb";
       btag_label_extra = "pfDeepCSVJetTags:probbb";
 
-      deepjet_wp = 0.2783;
-    }    
+      deepjet_wp = 0.303;
+    }   
+    if (era_ == era::data_2022_postEE) {
+      btag_wp = 0.4184;
+      loose_btag_wp = 0.1241;
+      btag_label = "pfDeepCSVJetTags:probb";
+      btag_label_extra = "pfDeepCSVJetTags:probbb";
+
+      deepjet_wp = 0.3179;
+    } 
     if (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP) {
       btag_wp = 0.6321;
       loose_btag_wp = 0.2217;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc b/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc
index e37460ae7..d2a435c9e 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTFakeFactorWeights.cc
@@ -568,11 +568,16 @@ namespace ic {
       btag_label       = "pfDeepCSVJetTags:probb";
       btag_label_extra = "pfDeepCSVJetTags:probbb";
     } 
-    if (era_ == era::data_2022_preEE || era_ == era::data_2022_postEE) {
-      btag_wp          = 0.4184;
+    if (era_ == era::data_2022_preEE) {
+      btag_wp          = 0.303;
+      btag_label       = "pfDeepCSVJetTags:probb";
+      btag_label_extra = "pfDeepCSVJetTags:probbb";
+    }    
+    if (era_ == era::data_2022_postEE) {
+      btag_wp          = 0.3179;
       btag_label       = "pfDeepCSVJetTags:probb";
       btag_label_extra = "pfDeepCSVJetTags:probbb";
-    }     
+    } 
 
     auto filterBTagSumTight = [btag_label, btag_label_extra, btag_wp] (PFJet* s1) -> bool {
       return s1->GetBDiscriminator(btag_label) + s1->GetBDiscriminator(btag_label_extra) > btag_wp;
diff --git a/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc b/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc
index f7f3db469..1bb43994d 100644
--- a/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc
+++ b/Analysis/HiggsTauTauRun2/src/HTTPairGenInfo.cc
@@ -55,7 +55,7 @@ TVector3 GenIP (ic::GenParticle *h, ic::GenParticle *t) {
       }
     }
 
-    if(is_embedded_&& (channel_==channel::em || channel_==channel::et || channel_==channel::mt || channel_==channel::tt) && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL || era_ == era::data_2022_preEE || era_ == era::data_2022_postEE)) {
+    if(is_embedded_&& (channel_==channel::em || channel_==channel::et || channel_==channel::mt || channel_==channel::tt) && (era_ == era::data_2016 || era_ == era::data_2016UL_preVFP || era_ == era::data_2016UL_postVFP || era_ == era::data_2017 || era_ == era::data_2017UL || era_ == era::data_2018 || era_ == era::data_2018UL)) {
 
       // Retrieve file with TGraphs of corrections
       std::string file = "input/recoilfits/embed_fake_met_corrections.root";
@@ -75,11 +75,6 @@ TVector3 GenIP (ic::GenParticle *h, ic::GenParticle *t) {
       if(era_ == era::data_2016UL_postVFP) graph_name+="_2016UL_postVFP";
       if(era_ == era::data_2017UL) graph_name+="_2017UL";
       if(era_ == era::data_2018UL) graph_name+="_2018UL";
-      if(era_ == era::data_2022_preEE) graph_name+="_2022_preEE";
-      if(era_ == era::data_2022_postEE) graph_name+="_2022_postEE";
-
-
-
 
 
       gr_met_corr_ = (TGraph*)gDirectory->Get(graph_name.c_str());

From 7e4230ac6bcf182df0c5e2f949bea8da0d8cef5a Mon Sep 17 00:00:00 2001
From: Daniel Winterbottom <daniel.winterbottom@cern.ch>
Date: Mon, 2 Oct 2023 17:26:59 +0100
Subject: [PATCH 49/50] fixign a few issues

---
 Analysis/HiggsTauTauRun2/src/BTagCheck.cc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Analysis/HiggsTauTauRun2/src/BTagCheck.cc b/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
index 108dc046d..e5dc377c9 100644
--- a/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
+++ b/Analysis/HiggsTauTauRun2/src/BTagCheck.cc
@@ -322,7 +322,7 @@ namespace ic {
 	  if (wp_to_check_ == "tight") tight_wp = 0.2783; // medium deepJet wp
 	  else if (wp_to_check_ == "loose") tight_wp = 0.0490; // loose deepJet wp
         }
-	else if (era_ == era::data_2022_preEE) && use_deep_jet_) {
+	else if (era_ == era::data_2022_preEE && use_deep_jet_) {
 	  if (wp_to_check_ == "tight") tight_wp = 0.303; // medium deepJet wp
 	  else if (wp_to_check_ == "loose") tight_wp = 0.0474; // loose deepJet wp
         }

From ca9760cef2d2d53ecd0f58a6f3f7a02a36b366d1 Mon Sep 17 00:00:00 2001
From: Daniel Winterbottom <daniel.winterbottom@cern.ch>
Date: Mon, 2 Oct 2023 21:45:24 +0100
Subject: [PATCH 50/50] fixing a few issues while checking PR

---
 Analysis/HiggsTauTauRun2/interface/HTTConfig.h    |  8 ++++----
 .../HiggsTauTauRun2/scripts/HiggsTauTauPlot.py    | 15 +++++----------
 Analysis/HiggsTauTauRun2/scripts/TnP.py           |  2 +-
 .../HiggsTauTauRun2/scripts/htt_2022_preEE.py     |  2 +-
 4 files changed, 11 insertions(+), 16 deletions(-)

diff --git a/Analysis/HiggsTauTauRun2/interface/HTTConfig.h b/Analysis/HiggsTauTauRun2/interface/HTTConfig.h
index a9e52e9f1..0824bee90 100644
--- a/Analysis/HiggsTauTauRun2/interface/HTTConfig.h
+++ b/Analysis/HiggsTauTauRun2/interface/HTTConfig.h
@@ -123,8 +123,8 @@ struct era_def {
 	data_2017UL,
         data_2018,
 	data_2018UL,
-  data_2022_preEE,
-  data_2022_postEE
+        data_2022_preEE,
+        data_2022_postEE
 	};
 };
 typedef safe_enum<era_def> era;
@@ -141,8 +141,8 @@ inline std::string Era2String(era const& in) {
 	(era::data_2017UL,	"data_2017UL")
         (era::data_2018,        "data_2018")
 	(era::data_2018UL,	"data_2018UL")
-  (era::data_2022_preEE, "data_2022_preEE")
-  (era::data_2022_postEE, "data_2022_postEE");
+        (era::data_2022_preEE, "data_2022_preEE")
+        (era::data_2022_postEE, "data_2022_postEE");
 	if (conv.find(in) != conv.end()) {
 		return (conv[in]);
 	} else {
diff --git a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
index 9d88043d5..7247222e2 100644
--- a/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
+++ b/Analysis/HiggsTauTauRun2/scripts/HiggsTauTauPlot.py
@@ -1589,7 +1589,7 @@
     qqhww_samples = []   
  
     if options.channel in ['mt','zmm','mj']:
-      data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE']
+      data_samples = ['SingleMuonB_rereco_preEE','SingleMuonC_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE'] # check this as SingleMuonC_rereco was missing from Endre's list
         # data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE','MuonE_rereco_postEE','MuonF_postEE','MuonG_postEE']
         # if options.analysis in ['mssmrun2','vlq']  and options.channel == 'mt': data_samples += ['TauB_rereco_preEE','TauC_rereco_preEE','TauD_rereco_preEE']
     if options.channel == 'em':
@@ -4992,12 +4992,8 @@ def RawFFFromString(string):
 #  output_name = options.outputfolder+'/datacard_'+options.extra_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
   datacard_name+='_'+options.extra_name
 #else: 
-if options.do_ss:
-  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'_ss.root'
-  outfile = ROOT.TFile(output_name, 'RECREATE')
-else:
-  output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
-  outfile = ROOT.TFile(output_name, 'RECREATE')
+output_name = options.outputfolder+'/datacard_'+var_name+'_'+datacard_name+'_'+options.channel+'_'+options.year+'.root'
+outfile = ROOT.TFile(output_name, 'RECREATE')
     
 cats['cat'] = '('+cats[options.cat]+')*('+cats['baseline']+')'
 if options.channel=="em": cats['em_shape_cat'] = '('+cats[options.cat]+')*('+cats['loose_baseline']+')'
@@ -5547,9 +5543,8 @@ def MergeXBins(hist):
 
 
 if not options.no_plot:
-    #if options.extra_name != '': vname = options.extra_name
-    #else: vname = var_name
-    vname = var_name + '_' +options.extra_name
+    if options.extra_name != '': vname = options.extra_name
+    else: vname = var_name
 
 
     if options.datacard != "": plot_name = options.outputfolder+'/'+vname+'_'+options.datacard+'_'+options.channel+'_'+options.year
diff --git a/Analysis/HiggsTauTauRun2/scripts/TnP.py b/Analysis/HiggsTauTauRun2/scripts/TnP.py
index c78cce0a8..e56a5459a 100644
--- a/Analysis/HiggsTauTauRun2/scripts/TnP.py
+++ b/Analysis/HiggsTauTauRun2/scripts/TnP.py
@@ -974,7 +974,7 @@ def FitWorkspace(name,infile,outfile,sig_model='DoubleVCorr',bkg_model='Exponent
     elif options.era == 'UL_18':
         data_samples = ['SingleMuonA','SingleMuonB','SingleMuonC','SingleMuonD']
     elif options.era == '22_preEE':
-        data_samples = ['SingleMuonB_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE'] 
+        data_samples = ['SingleMuonB_rereco_preEE','SingleMuonC_rereco_preEE','MuonC_rereco_preEE','MuonD_rereco_preEE'] # check this as Endre's code did not have single muon for Run C but I think it exists 
     elif options.era == '22_postEE':
         data_samples = ['MuonE_rereco_postEE','MuonF_postEE','MuonG_postEE']       
     
diff --git a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
index fc30a71af..4b81b9cd8 100755
--- a/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
+++ b/Analysis/HiggsTauTauRun2/scripts/htt_2022_preEE.py
@@ -205,7 +205,7 @@ def getParaJobSubmit(N):
 
 if options.proc_data or options.proc_all or options.calc_lumi:
 
-    data_samples = ["SingleMuonB_rereco","MuonC_rereco","MuonD_rereco"]
+    data_samples = ["SingleMuonB_rereco","SingleMuonC_rereco","MuonC_rereco","MuonD_rereco"] # added SingleMuonC as I think it should exist
     data_eras = []
     for chn in channels:
         for era in data_eras: