Tools in Barista

How to compute integrated luminosity for data

The script src/tools/compute_lumi_processes.py reads a YAML file that is the output of the skimming steps, containing lumis_processed data (run numbers and lumi sections), converts it to the JSON format required by brilcalc, and automatically runs brilcalc to compute the integrated luminosity.

Usage

Basic usage (prints luminosity to console):

./run_container brilcalc python src/tools/compute_lumi_processes.py -i <input.yml>

Save output to file:

./run_container brilcalc python src/tools/compute_lumi_processes.py -i <input.yml> -o <output.txt>

Command-line Options

• -i, --input: (Required) Input YAML file with lumis_processed data
• -o, --output: (Optional) File to save brilcalc output. If not specified, output is printed to console

Check that all events have been processed

Compares processed lumi sections against those expected in json

python src/tools/get_das_info.py -d coffea4bees/metadata/datasets_HH4b_Run3.yml 
python src/tools/check_event_counts.py -y skimmer/metadata/picoaod_datasets_data_2023_BPix.yml

Compares processed lumi sections against those expected in json

python src/tools/check_lumi_sections.py -j src/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/tools/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*