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DQM/EcalMonitorClient/python/MLClient_cfi.py
63 строки
3 KB
Abhirami Harilal
Change MLDQM parameters
08 май 2024, 19:17
08 май 2024, 19:17
8a29ae6
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import FWCore.ParameterSet.Config as cms from DQM.EcalMonitorTasks.OccupancyTask_cfi import ecalOccupancyTask #parameters derived from training EBThreshold = 0.00017 EEpThreshold = 0.0003009 EEmThreshold = 0.0004360 EB_PUcorr_slope = 9087.286563128135 EB_PUcorr_intercept = 391987.0277612837 EEp_PUcorr_slope = 2.097273231210836457e+03 EEp_PUcorr_intercept= 4.905224959496531665e+04 EEm_PUcorr_slope = 2.029645065864053095e+03 EEm_PUcorr_intercept= 4.874167219924630626e+04 ecalMLClient = cms.untracked.PSet( params = cms.untracked.PSet( EBThreshold = cms.untracked.double(EBThreshold), EEpThreshold = cms.untracked.double(EEpThreshold), EEmThreshold = cms.untracked.double(EEmThreshold), EB_PUcorr_slope = cms.untracked.double(EB_PUcorr_slope), EB_PUcorr_intercept = cms.untracked.double(EB_PUcorr_intercept), EEp_PUcorr_slope = cms.untracked.double(EEp_PUcorr_slope), EEp_PUcorr_intercept = cms.untracked.double(EEp_PUcorr_intercept), EEm_PUcorr_slope = cms.untracked.double(EEm_PUcorr_slope), EEm_PUcorr_intercept = cms.untracked.double(EEm_PUcorr_intercept) ), sources = cms.untracked.PSet( DigiAllByLumi = ecalOccupancyTask.MEs.DigiAllByLumi, AELoss = ecalOccupancyTask.MEs.AELoss, AEReco = ecalOccupancyTask.MEs.AEReco, PU = ecalOccupancyTask.MEs.PU, NumEvents = ecalOccupancyTask.MEs.NEvents, BadTowerCount = ecalOccupancyTask.MEs.BadTowerCount, BadTowerCountNorm = ecalOccupancyTask.MEs.BadTowerCountNorm ), MEs = cms.untracked.PSet( MLQualitySummary = cms.untracked.PSet( path = cms.untracked.string('%(subdet)s/%(prefix)sSummaryClient/%(prefix)sOT%(suffix)s ML quality summary'), kind = cms.untracked.string('TH2F'), otype = cms.untracked.string('Ecal3P'), btype = cms.untracked.string('SuperCrystal'), description = cms.untracked.string('Quality summary from the ML inference.') ), EventsperMLImage = cms.untracked.PSet( path = cms.untracked.string('Ecal/Trends/Number of Events used per ML image'), kind = cms.untracked.string('TProfile'), otype = cms.untracked.string('Ecal2P'), btype = cms.untracked.string('Trend'), description = cms.untracked.string('Trend of the number of events in an image fed into the ML model') ), TrendMLBadTower = cms.untracked.PSet( path = cms.untracked.string('Ecal/Trends/Number of bad towers from MLDQM %(prefix)s'), kind = cms.untracked.string('TProfile'), otype = cms.untracked.string('Ecal2P'), btype = cms.untracked.string('Trend'), description = cms.untracked.string('Trend of the number of bad towers flagged by the MLDQM model') ) ) )