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Running The Optimizer

Follow the instructions in the README of the main repository: cms-ngt-hlt/cms-reco-optimizer

Current developments

  • Include the new SimpleBinnedValidation.cc module to compute the metrics binned in eta and pt: link
  • Expose all parameters, based on Luca's developments: link
  • Optimization on ttbar 10k events with only scalars:
cd /data/user/evernazz/PixelPatatrack/2025_03_05/CMSSW_15_0_0_pre3/src/cms-reco-optimizer
export PYTHONPATH=${PYTHONPATH}:$PWD/The-Optimizer
/optimize_reco.py hlt_pixel_optimization.py -t hltPhase2PixelTracksSoA -v hltPhase2PixelTracks \
-f file:/data/user/evernazz/PixelPatatrack/2025_01_27/CMSSW_15_0_0_pre2/src/29634.402_TTbar_14TeV+Run4D110_Patatrack_PixelOnlyAlpaka/step2.root --num_events -1 \
--num_threads 32 -a 32 -i 10 \
-b examples/config.json -p cellZ0Cut,cellPtCut,cellMinYSizeB1,cellMinYSizeB2,cellMaxDYSize12,cellMaxDYSize,cellMaxDYPred \
-o TTBar_SplitBinnedMetrics_AllScalarCuts
  • Plot simDoublets and cuts using repo by Jan link
  • Script to get the optimizer output and save it to hltPhase2PixelTracksSoA_cfi.py
  • Remote TP selector from eta binned metrics (on openlab machines):
python3 -m venv opt_env
pip3 activate opt_env
source opt_env/bin/activate
pip3 install "numpy<2"

cd /data/evernazz/2025_03_05/CMSSW_15_0_0_pre3/src/cms-reco-optimizer
export PYTHONPATH=${PYTHONPATH}:$PWD/The-Optimizer
./optimize_reco.py hlt_pixel_optimization.py -t hltPhase2PixelTracksSoA -v hltPhase2PixelTracks \
-f file:/data/evernazz/2025_03_05/CMSSW_15_0_0_pre3/src/29634.402_TTbar_14TeV+Run4D110_Patatrack_PixelOnlyAlpaka/step2.root --num_events -1 \
--num_threads 64 -a 32 -i 10 \
-b examples/config.json -p cellZ0Cut,cellPtCut,cellMinYSizeB1,cellMinYSizeB2,cellMaxDYSize12,cellMaxDYSize,cellMaxDYPred \
-o TTBar_SplitBinnedMetricsNoTPselector_AllScalarCuts

Plans

  • Add option to obtain min and max in each distribution, in order to define the parameter regions where to scan (save the numbers in the examples/config.json that will be used to run the optimization)

  • On the openlab machines, I have tested Jan's option: process.g4SimHits.TrackerSD.EnergyThresholdForPersistencyInGeV = cms.double(0.)

  • Optimization on ttbar 10k events with all cuts (scalars and vectors)

cd /data/user/evernazz/PixelPatatrack/2025_03_05/CMSSW_15_0_0_pre3/src/cms-reco-optimizer
export PYTHONPATH=${PYTHONPATH}:$PWD/The-Optimizer
/optimize_reco.py hlt_pixel_optimization.py -t hltPhase2PixelTracksSoA -v hltPhase2PixelTracks \
-f file:/data/user/evernazz/PixelPatatrack/2025_01_27/CMSSW_15_0_0_pre2/src/29634.402_TTbar_14TeV+Run4D110_Patatrack_PixelOnlyAlpaka/step2.root --num_events -1 \
--num_threads 32 -a 32 -i 10 \
-b examples/config.json -p cellZ0Cut,cellPtCut,cellMinYSizeB1,cellMinYSizeB2,cellMaxDYSize12,cellMaxDYSize,cellMaxDYPred,phiCuts,cellMinz,cellMaxz,cellMaxr \
-o test
  • Script to get the optimizer output and save it to hltPhase2PixelTracksSoA_cfi.py

  • Script to get the optimizer output and save it to simDoubletsPhase2_TEST.py

  • Plots showing the efficiency and fake before and after the optimization

  • Plots showing the cuts on SimDoublets before and after the optimization
cmsRun optimize.hlt_pixel_optimization_20250305.151533_TTBar_SplitBinnedMetrics_AllScalarCuts/process_to_run.py parametersFile=optimize.hlt_pixel_optimization_20250305.151533_TTBar_SplitBinnedMetrics_AllScalarCuts/checkpoint/checkpoint/Configuration/new_point78.csv outputFile=optimize.hlt_pixel_optimization_20250305.151533_TTBar_SplitBinnedMetrics_AllScalarCuts/checkpoint/checkpoint/Configuration/new_point78.root