Coffea4bees skimmer

To run the skimmer, remember first to set the coffea environment and your grid certificate. If you followed the instructions in the README.md, the set_shell.sh file must be located right after the package, and then:

voms-proxy-init -rfc -voms cms --valid 168:00
cd coffea4bees/ ## Or go to this directory
source set_shell.sh

In this folder

Here you find the code to create picoAODs (skims from nanoAOD)

Each folder contains: - metadata: yml files to run the processors - processors: python files with the processors for each skimms.

Then, the run-all script is called runner.py and it is one directory below (in python/). This script will run local or condor depending on the flag used. To learn all the options of the script, just run:

# (inside /coffea4bees/python/)
python runner.py --help

Run Analysis

Example to run the analysis

For example, to run a processor you can do:

#  (inside /coffea4bees/python/)
python runner.py -s -p skimmer/processor/skimmer_4b.py -c skimmer/metadata/HH4b.yml -y UL18 -d TTTo2L2Nu -t

The output file of this process will be located under python/skimmer/test/.

Check that all events have been processed

Compares processed lumi sections against those expected in json

python python/skimmer/metadata/get_das_info.py -d python/metadata/datasets_HH4b_Run3.yml 
python skimmer/metadata/check_event_counts.py -y skimmer/metadata/picoaod_datasets_data_2023_BPix.yml

Compares processed lumi sections against those expected in json

python skimmer/metadata/check_lumi_sections.py -j base_class/data/goldenJSON/Cert_Collisions2023_366442_370790_Golden.json -y skimmer/metadata/picoaod_datasets_data_2023_BPix.yml

Add skims to dataset

Add output of skims to input data sets

python src/scripts/merge_yaml_datasets.py -m metadata/datasets_HH4b_Run3.yml -o metadata/datasets_HH4b_Run3_merged.yml -f metadata/archive/skims_Run3_2024_v2/picoaod_datasets_data_202*