File indexing completed on 2024-05-11 03:34:04
0001 import FWCore.ParameterSet.Config as cms
0002
0003 from DQM.EcalMonitorTasks.OccupancyTask_cfi import ecalOccupancyTask
0004
0005
0006 EBThreshold = 0.00017
0007 EEpThreshold = 0.0003009
0008 EEmThreshold = 0.0004360
0009
0010 EB_PUcorr_slope = 9087.286563128135
0011 EB_PUcorr_intercept = 391987.0277612837
0012
0013 EEp_PUcorr_slope = 2.097273231210836457e+03
0014 EEp_PUcorr_intercept= 4.905224959496531665e+04
0015
0016 EEm_PUcorr_slope = 2.029645065864053095e+03
0017 EEm_PUcorr_intercept= 4.874167219924630626e+04
0018
0019 ecalMLClient = cms.untracked.PSet(
0020 params = cms.untracked.PSet(
0021 EBThreshold = cms.untracked.double(EBThreshold),
0022 EEpThreshold = cms.untracked.double(EEpThreshold),
0023 EEmThreshold = cms.untracked.double(EEmThreshold),
0024 EB_PUcorr_slope = cms.untracked.double(EB_PUcorr_slope),
0025 EB_PUcorr_intercept = cms.untracked.double(EB_PUcorr_intercept),
0026 EEp_PUcorr_slope = cms.untracked.double(EEp_PUcorr_slope),
0027 EEp_PUcorr_intercept = cms.untracked.double(EEp_PUcorr_intercept),
0028 EEm_PUcorr_slope = cms.untracked.double(EEm_PUcorr_slope),
0029 EEm_PUcorr_intercept = cms.untracked.double(EEm_PUcorr_intercept)
0030 ),
0031 sources = cms.untracked.PSet(
0032 DigiAllByLumi = ecalOccupancyTask.MEs.DigiAllByLumi,
0033 AELoss = ecalOccupancyTask.MEs.AELoss,
0034 AEReco = ecalOccupancyTask.MEs.AEReco,
0035 PU = ecalOccupancyTask.MEs.PU,
0036 NumEvents = ecalOccupancyTask.MEs.NEvents,
0037 BadTowerCount = ecalOccupancyTask.MEs.BadTowerCount,
0038 BadTowerCountNorm = ecalOccupancyTask.MEs.BadTowerCountNorm
0039 ),
0040 MEs = cms.untracked.PSet(
0041 MLQualitySummary = cms.untracked.PSet(
0042 path = cms.untracked.string('%(subdet)s/%(prefix)sSummaryClient/%(prefix)sOT%(suffix)s ML quality summary'),
0043 kind = cms.untracked.string('TH2F'),
0044 otype = cms.untracked.string('Ecal3P'),
0045 btype = cms.untracked.string('SuperCrystal'),
0046 description = cms.untracked.string('Quality summary from the ML inference.')
0047 ),
0048 EventsperMLImage = cms.untracked.PSet(
0049 path = cms.untracked.string('Ecal/Trends/Number of Events used per ML image'),
0050 kind = cms.untracked.string('TProfile'),
0051 otype = cms.untracked.string('Ecal2P'),
0052 btype = cms.untracked.string('Trend'),
0053 description = cms.untracked.string('Trend of the number of events in an image fed into the ML model')
0054 ),
0055 TrendMLBadTower = cms.untracked.PSet(
0056 path = cms.untracked.string('Ecal/Trends/Number of bad towers from MLDQM %(prefix)s'),
0057 kind = cms.untracked.string('TProfile'),
0058 otype = cms.untracked.string('Ecal2P'),
0059 btype = cms.untracked.string('Trend'),
0060 description = cms.untracked.string('Trend of the number of bad towers flagged by the MLDQM model')
0061 )
0062 )
0063 )