HNL analysis tools

Installing conda (if you don't already have it)

wget https://repo.anaconda.com/miniconda/Miniconda3-py37_4.10.3-Linux-x86_64.sh
chmod +x Miniconda3-py37_4.10.3-Linux-x86_64.sh
./Miniconda3-py37_4.10.3-Linux-x86_64.sh
conda init

Restart the shell

Configuration files used to define samples, categories, cuts, etc. can be found in config

Installing the environment (do it only once)

NB: The /home/$USER directory storage is limited so best to clone the repository and install the conda environment on /vols/cms/$USER. Change the first line if your conda is installed somewhere else and change zsh to match your shell (zsh, sh).

eval "$(/home/hep/$USER/miniconda3/bin/conda shell.zsh hook)"
conda create --prefix ./env python=3.9 root=6.24.6 pip -c conda-forge
conda activate ./env
pip install -r config/requirements.txt
pip install -e .

Main project directories

You can set up the environment with the following.

eval "$(/home/hep/$USER/miniconda3/bin/conda shell.zsh hook)"
export HISTO_BASE_PATH=$PWD
conda activate ./env

Start with nanoAOD friend ntuples producing using custom nanoAOD-tools. Additional scripts are available for single auxilliary studies with sparse documentation. Further documentation is available inside these categories:

• plotting: script for signal and control region plots
• skim: producing skimmed .pkl files for each signal region category to speed up subsequent studies (used for abcd and threshold_optimisation studies).
• abcd: data-driven background estimation studies (work in progress)
• threshold_optimisation: optimising signal region thresholds on discriminating variables
• limits: Producing histograms to be used as inputs for the CMS combine tool