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ryansantos1174 edited this page Jan 26, 2026 · 1 revision

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Signal Monte Carlo

Signal MC Corrections

In order to process signal MC we need to apply a handful of MC correction factors:

  • Pileup Scale Factors
  • Missing Hits Corrections
  • Trigger Efficiency Scale Factors
  • ISR Scale Factors

Pileup Scale Factors

In order to grab the pileup distribution from MC we need to grab the pileup from each event in a sufficiently large dataset. The largest dataset that you could use is going to be the dataset that was used for --pileup_input used during the MC generation (for 2024 this dataset was: /Neutrino_E-10_gun/RunIIISummer24PrePremix-Premixlib2024_140X_mcRun3_2024_realistic_v26-v1/PREMIX). We can then use the pileupDistAnalyzer in SignalMC/plugins/pileupDistAnalyzer.cc and the corresponding configuration files in the test directory (crab_pileup_cfg.py, pileup_cfg.py) to generate the pileup distribution. We then need to add it to the puData root file.

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