Repository to keep the analyzers using awkward arrays, using skimmer or nanoAOD as input.
Following packages are needed for the analyzer to work
matplotlib
uproot
hist
numpy
mplhep
vector
root
awkward
pandas
A virtual environment can be created for this using the following command
conda env create -f requirement.yaml
if available, do it with mamba, it's much faster
mamba env create -f requirement.yaml
To use the framework, the environment created by conda has to be activated every time. It can be done as follows:
conda activate hhbbgg-awk
For now the analyzer can be run normally using python
python hhbbgg_Analyzer.py -i <Input root file directory OR single root file>
provided that the input directory having one root file for each background is defined with the variable name inputfilesDir in hhbbgg_Analyzer.py.
This saves a root file in outputfiles which contains sample names as directory and all the histograms are saved inside those directories.
To plot the histograms hhbbgg_Plotter.py can be used as:
python hhbbgg_Plotter.py
The plots will be saved in stack_plots directory
To add the variable, changes are to be done in hhbbgg_Analyzer.py, binning.py and variables.py file
To plot the histogram of the variable, it has to be added in histogram_names list and xtitle_dict dictionary in hhbbgg_Plotter.py file