Project moved to https://gitlab.cern.ch/aguzel/HHtoWWbb_Run3

HH->WWbb Run-3 analysis

----WORK IN PROGRESS----

This repository uses the bamboo analysis framework, you can install it via the instructions here: https://bamboo-hep.readthedocs.io/en/latest/install.html#fresh-install

Then clone this repository in the parent directory containing the bamboo installation:

git clone https://github.com/cp3-llbb/HHtoWWbb_Run3.git && cd HHtoWWbb_Run3

Execute these each time you start from a clean shell on lxplus or any other machine with an cvmfs:

source /cvmfs/sft.cern.ch/lcg/views/LCG_102/x86_64-centos7-gcc11-opt/setup.sh
source (path to your bamboo installation)/bamboovenv/bin/activate
export PYTHONPATH="${PYTHONPATH}:${PWD}/python/"

and the followings before submitting jobs to the batch system (HTCondor, Slurm, Dask and Spark are supported):

voms-proxy-init --voms cms -rfc --valid 192:00 
export X509_USER_PROXY=$(voms-proxy-info -path)

if you encounter problems with accessing files when using batch, the following lines may solve your problem

voms-proxy-init --voms cms -rfc --valid 192:00  --out ~/private/gridproxy/x509
export X509_USER_PROXY=$HOME/private/gridproxy/x509

Then plot various control regions via the following command line using batch (you can pass --maxFiles 1 to use only 1 file from each sample for a quick test):

bambooRun -m python/controlPlotter.py config/2022_v12.yml -o ./outputDir/ --distributed driver --envConfig config/cern.ini --eras combined -c <DL or SL> --samples config/2022_v12_samples.yml

Instead of passing everytime --envConfig config/cern.ini, you can copy the content of that file to ~/.config/bamboorc.

then to produce plots, just execute:

./scripts/plot_<SL or DL>.sh <path to output/plots>

using the parquet output file that contains skims and the DNN.py file, you can perform machine learning applications;

python DNN.py -s <path-to-the-skim-file> -o <path-to-an-output-directory>

Then passing --mvaModels=<path-to-dnn-outputs> option, you can apply DNN score cuts on your analysis.