Adding RG to report

docs/source/fitting_code/running.md

@@ -221,6 +221,19 @@ One is free to set custom attributes in the constructor. The coefficient values
 are accesible via ``coefficient_values`` in the ``compute_chi2`` method. In order for the external chi2
 to work, it is important one does not change the name of the ``compute_chi2`` method!
 
+### Adding RG evolution
+Renormalisation group evolution can be turned on in the fit by adding the following to the runcard.
+
+```yaml
+rge:
+  init_scale: 5000.0
+  obs_scale: dynamic # float or "dynamic"
+  smeft_accuracy: integrate # options: integrate, leadinglog
+  yukawa: top # options: top, full or none
+  adm_QCD: False # if true, the EW couplings are set to zero
+  rg_matrix: <path/to/rge_matrix.pkl>
+```
+
 ## Running a fit with NS
 To run a fiy using Nested Sampling use the command
 ```bash

docs/source/report/running.md

@@ -168,6 +168,16 @@ fisher:
     figsize: [11, 15] # figure size
     title: true # if True display the fit label as title
 
+    plot:
+    summary_only: True # if True display only the fisher information per dataset group. If False will show the fine grained dataset per dataset
+    figsize: [11, 15] # figure size
+    title: true # if True display the fit label as title
+    column_names: # list of column names to be displayed, default is all
+      - group_1: "$\\rm group\\:1$"
+      - tt13: "$t\\bar{t}$"
+      - ...
+    together: ["fit_1", "fit_2"] # list of result IDs to be plotted together
+
 ```
 
 Finally the user has to specify two dictionaries where the informaions about