Analysis of CMS data using the NanoAOD data format and the coffea framework

To setup the environment

bash setup.sh

The generated virtualenv will allow the jobs to be run on a distributed system.

To update the file lists

python get_datasets.py
python make_filesets.py

This will create a new directory structure with filesets generated from DAS.

Can run locally or using condor. Distribution via parsl is the only supported condor mode right now.

./run_processor.py -j 200 --condor --parsl hzzProcessor 2018 filesets/2018/all.json

Then convert output to flat histograms for plotting with ROOT

./flatten.py hists/*/*/*.coffea

All processors (source and compiled) should be stored in the processors directory. Any corrections that need to be loaded should be added to the corrections builder.