deepInspectionElectronThresholds_HI = [15]
electronEfficiencyBins_HI = []
electronEfficiencyBins_HI.extend(list(xrange(1, 26, 1)))
electronEfficiencyBins_HI.extend(list(xrange(26, 42, 2)))
electronEfficiencyBins_HI.extend(list(xrange(42, 45, 3)))
electronEfficiencyBins_HI.extend(list(xrange(45, 50, 5)))
electronEfficiencyBins_HI.extend(list(xrange(50, 70, 10)))
electronEfficiencyBins_HI.extend(list(xrange(70, 101, 30)))
photonEfficiencyThresholds_HI = electronEfficiencyThresholds_HI
photonEfficiencyBins_HI = electronEfficiencyBins_HI
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(
l1tEGammaOfflineDQM,
TriggerFilter=cms.InputTag('hltEle20WPLoose1GsfTrackIsoFilter', '', 'HLT'),
TriggerPath=cms.string('HLT_Ele20_WPLoose_Gsf_v4'),
electronEfficiencyThresholds=cms.vdouble(electronEfficiencyThresholds_HI),
electronEfficiencyBins=cms.vdouble(electronEfficiencyBins_HI),
deepInspectionElectronThresholds=cms.vdouble(
deepInspectionElectronThresholds_HI),
photonEfficiencyThresholds=cms.vdouble(photonEfficiencyThresholds_HI),
photonEfficiencyBins=cms.vdouble(photonEfficiencyBins_HI))
# emulator module
l1tEGammaOfflineDQMEmu = l1tEGammaOfflineDQM.clone(
stage2CaloLayer2EGammaSource=cms.InputTag("simCaloStage2Digis"),
histFolder=cms.string('L1TEMU/L1TObjects/L1TEGamma/L1TriggerVsReco'),
)
dir2=cms.untracked.string(
"L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco"),
outputDir=cms.untracked.string(
"L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco/Comparison"),
plots=cms.untracked.vstring(allPlots)
),
)
)
# modifications for the pp reference run
variables_HI = variables
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in six.iteritems(variables_HI):
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
allPlots_HI = []
allPlots_HI.extend(allEfficiencyPlots_HI)
allPlots_HI.extend(resolution_plots)
allPlots_HI.extend(plots2D)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(
l1tEtSumEmuDiff,
plotCfgs={0: dict(plots=allPlots_HI)}
)
# emulator module
l1tMuonDQMOfflineEmu = l1tMuonDQMOffline.clone(
gmtInputTag = cms.untracked.InputTag("simGmtStage2Digis"),
histFolder = cms.untracked.string('L1TEMU/L1TObjects/L1TMuon/L1TriggerVsReco')
)
# modifications for the pp reference run
# A list of pt cut + quality cut pairs for which efficiency plots should be made
ptQualCuts_HI = [[12, 12], [7, 8], [5, 4]]
cutsPSets_HI = []
for ptQualCut in ptQualCuts_HI:
cutsPSets_HI.append(cms.untracked.PSet(ptCut = cms.untracked.int32(ptQualCut[0]),
qualCut = cms.untracked.int32(ptQualCut[1])))
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tMuonDQMOffline,
tagPtCut = cms.untracked.double(14.),
cuts = cms.untracked.VPSet(cutsPSets_HI),
triggerNames = cms.untracked.vstring(
"HLT_HIL3Mu12_v*",
)
)
ppRef_2017.toModify(l1tMuonDQMOfflineEmu,
tagPtCut = cms.untracked.double(14.),
cuts = cms.untracked.VPSet(cutsPSets_HI),
triggerNames = cms.untracked.vstring(
"HLT_HIL3Mu12_v*",
)
)
plotCfgs=cms.untracked.VPSet(
cms.untracked.PSet(numeratorDir=cms.untracked.string(
"L1TEMU/L1TStage2CaloLayer2/efficiency_raw"),
outputDir=cms.untracked.string(
"L1TEMU/L1TStage2CaloLayer2"),
numeratorSuffix=cms.untracked.string("_Num"),
denominatorSuffix=cms.untracked.string("_Den"),
plots=cms.untracked.vstring(allEfficiencyPlots)), ))
# modifications for the pp reference run
variables_HI = variables
variables_HI['jet'] = L1TStep1.jetEfficiencyThresholds_HI
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.iteritems():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tStage2CaloLayer2Efficiency,
plotCfgs={
0: dict(plots=allEfficiencyPlots_HI),
})
ppRef_2017.toModify(l1tStage2CaloLayer2EmuEfficiency,
plotCfgs={
0: dict(plots=allEfficiencyPlots_HI),
})
# modifications for the pp reference run
jetEfficiencyThresholds_HI = [8, 16, 24, 44, 60, 80, 90]
jetEfficiencyBins_HI = []
jetEfficiencyBins_HI.extend(list(range(0, 60, 2)))
jetEfficiencyBins_HI.extend(list(range(60, 90, 5)))
jetEfficiencyBins_HI.extend(list(range(90, 120, 10)))
jetEfficiencyBins_HI.extend(list(range(120, 180, 20)))
jetEfficiencyBins_HI.extend(list(range(180, 300, 40)))
jetEfficiencyBins_HI.extend(list(range(300, 401, 100)))
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(
l1tEtSumJetOfflineDQM,
TriggerFilter=cms.InputTag('hltEle20WPLoose1GsfTrackIsoFilter', '', 'HLT'),
TriggerPath=cms.string('HLT_Ele20_WPLoose_Gsf_v4'),
jetEfficiencyThresholds=cms.vdouble(jetEfficiencyThresholds_HI),
jetEfficiencyBins=cms.vdouble(jetEfficiencyBins_HI),
)
# emulator module
l1tEtSumJetOfflineDQMEmu = l1tEtSumJetOfflineDQM.clone(
stage2CaloLayer2JetSource="simCaloStage2Digis",
stage2CaloLayer2EtSumSource="simCaloStage2Digis",
histFolderEtSum='L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco',
histFolderJet='L1TEMU/L1TObjects/L1TJet/L1TriggerVsReco')
# sequences
l1tEtSumJetOfflineDQMSeq = cms.Sequence(
cms.ignore(goodPFJetsForL1T) + l1tPFMetNoMuForDQM + l1tEtSumJetOfflineDQM)
cms.untracked.PSet(
numeratorDir=cms.untracked.string("L1TEMU/L1TStage2CaloLayer2/efficiency_raw"),
outputDir=cms.untracked.string("L1TEMU/L1TStage2CaloLayer2"),
numeratorSuffix=cms.untracked.string("_Num"),
denominatorSuffix=cms.untracked.string("_Den"),
plots=cms.untracked.vstring(allEfficiencyPlots)
),
)
)
# modifications for the pp reference run
variables_HI = variables
variables_HI['jet'] = L1TStep1.jetEfficiencyThresholds_HI
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.iteritems():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tStage2CaloLayer2Efficiency,
plotCfgs = {
0:dict(plots = allEfficiencyPlots_HI),
1:dict(plots = allEfficiencyPlots_HI)
}
)
'electron': L1TEGammaOffline_cfi.electronEfficiencyThresholds_HI,
'photon': L1TEGammaOffline_cfi.photonEfficiencyThresholds_HI,
}
deepInspectionThresholds_HI = {
'electron': L1TEGammaOffline_cfi.deepInspectionElectronThresholds_HI,
'photon': [],
}
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.iteritems():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
for variable, thresholds in deepInspectionThresholds_HI.iteritems():
for plot in deepInspectionPlots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tEGammaEfficiency,
plotCfgs = {
0:dict(plots = allEfficiencyPlots_HI),
1:dict(plots = allEfficiencyPlots_HI)
}
)
effName = effNameVar+"_"+qualStrings[ptQualCut[1]]
efficiencyStrings.append(effName+" '"+effName+";;L1 muon efficiency' "+effNumName+" "+effDenName)
return efficiencyStrings
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
from DQMOffline.L1Trigger.L1TMuonDQMOffline_cfi import ptQualCuts, ptQualCuts_HI
l1tMuonDQMEfficiency = DQMEDHarvester("DQMGenericClient",
subDirs = cms.untracked.vstring("L1T/L1TObjects/L1TMuon/L1TriggerVsReco/"),
efficiency = cms.vstring(),
efficiencyProfile = cms.untracked.vstring(generateEfficiencyStrings(ptQualCuts)),
resolution = cms.vstring(),
outputFileName = cms.untracked.string(""),
verbose = cms.untracked.uint32(0)
)
# emulator efficiency
l1tMuonDQMEmuEfficiency = l1tMuonDQMEfficiency.clone(
subDirs = cms.untracked.vstring("L1TEMU/L1TObjects/L1TMuon/L1TriggerVsReco/")
)
# modifications for the pp reference run
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tMuonDQMEfficiency,
efficiencyProfile = cms.untracked.vstring(generateEfficiencyStrings(ptQualCuts_HI))
)
ppRef_2017.toModify(l1tMuonDQMEmuEfficiency,
efficiencyProfile = cms.untracked.vstring(generateEfficiencyStrings(ptQualCuts_HI))
)
"HLT_IsoMu18_v*",
"HLT_IsoMu20_v*",
"HLT_IsoMu22_v*",
"HLT_IsoMu24_v*",
"HLT_IsoMu27_v*",
"HLT_Mu30_v*",
"HLT_Mu40_v*"
),
trigInputTag = cms.untracked.InputTag("hltTriggerSummaryAOD", "", "HLT"),
trigProcess = cms.untracked.string("HLT"),
trigProcess_token = cms.untracked.InputTag("TriggerResults","","HLT"),
efficiencyVsPtBins = cms.untracked.vdouble(effVsPtBins),
efficiencyVsPhiBins = cms.untracked.vdouble(effVsPhiBins),
efficiencyVsEtaBins = cms.untracked.vdouble(effVsEtaBins),
verbose = cms.untracked.bool(False)
)
# modifications for the pp reference run
muonEfficiencyThresholds_HI = [5, 7, 12]
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tMuonDQMOffline,
gmtPtCuts = cms.untracked.vint32(muonEfficiencyThresholds_HI),
tagPtCut = cms.untracked.double(14.),
triggerNames = cms.untracked.vstring(
"HLT_HIL3Mu12_v*",
)
)
outputDir=cms.untracked.string("L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco"),
numeratorSuffix=cms.untracked.string("_Num"),
denominatorSuffix=cms.untracked.string("_Den"),
plots=cms.untracked.vstring(allEfficiencyPlots)
),
)
)
# modifications for the pp reference run
variables_HI = variables
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.iteritems():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tEtSumEfficiency,
plotCfgs = {
0:dict(plots = allEfficiencyPlots_HI),
}
)
ppRef_2017.toModify(l1tEtSumEmuEfficiency,
plotCfgs = {
0:dict(plots = allEfficiencyPlots_HI),
}
)
}
from DQMOffline.L1Trigger.L1TCommon import generateEfficiencyStrings
efficiencyStrings = list(generateEfficiencyStrings(variables, plots))
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
l1tEtSumEfficiency = DQMEDHarvester(
"DQMGenericClient",
commands=cms.vstring(),
resolution=cms.vstring(),
subDirs=cms.untracked.vstring('L1T/L1TObjects/L1TEtSum/L1TriggerVsReco'),
efficiency=cms.vstring(),
efficiencyProfile=cms.untracked.vstring(efficiencyStrings),
)
l1tEtSumEmuEfficiency = l1tEtSumEfficiency.clone(
subDirs=cms.untracked.vstring(
'L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco'),
)
# modifications for the pp reference run
variables_HI = variables
efficiencyStrings_HI = list(generateEfficiencyStrings(variables_HI, plots))
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tEtSumEfficiency, efficiencyProfile=efficiencyStrings_HI)
ppRef_2017.toModify(l1tEtSumEmuEfficiency, efficiencyProfile=efficiencyStrings_HI)
electronEfficiencyBins_HI = []
electronEfficiencyBins_HI.extend(list(xrange(1, 26, 1)))
electronEfficiencyBins_HI.extend(list(xrange(26, 42, 2)))
electronEfficiencyBins_HI.extend(list(xrange(42, 45, 3)))
electronEfficiencyBins_HI.extend(list(xrange(45, 50, 5)))
electronEfficiencyBins_HI.extend(list(xrange(50, 70, 10)))
electronEfficiencyBins_HI.extend(list(xrange(70, 101, 30)))
photonEfficiencyThresholds_HI = electronEfficiencyThresholds_HI
photonEfficiencyBins_HI = electronEfficiencyBins_HI
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tEGammaOfflineDQM,
TriggerFilter=cms.InputTag('hltEle20WPLoose1GsfTrackIsoFilter', '', 'HLT'),
TriggerPath=cms.string('HLT_Ele20_WPLoose_Gsf_v4'),
electronEfficiencyThresholds=cms.vdouble(electronEfficiencyThresholds_HI),
electronEfficiencyBins=cms.vdouble(electronEfficiencyBins_HI),
deepInspectionElectronThresholds=cms.vdouble(deepInspectionElectronThresholds_HI),
photonEfficiencyThresholds=cms.vdouble(photonEfficiencyThresholds_HI),
photonEfficiencyBins=cms.vdouble(photonEfficiencyBins_HI)
)
# emulator module
l1tEGammaOfflineDQMEmu = l1tEGammaOfflineDQM.clone(
stage2CaloLayer2EGammaSource=cms.InputTag("simCaloStage2Digis"),
histFolder=cms.string('L1TEMU/L1TEGamma'),
)
'electron': L1TEGammaOffline_cfi.electronEfficiencyThresholds_HI,
'photon': L1TEGammaOffline_cfi.photonEfficiencyThresholds_HI,
}
deepInspectionThresholds_HI = {
'electron': L1TEGammaOffline_cfi.deepInspectionElectronThresholds_HI,
'photon': [],
}
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.iteritems():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
for variable, thresholds in deepInspectionThresholds_HI.iteritems():
for plot in deepInspectionPlots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tEGammaEfficiency,
plotCfgs={
0: dict(plots=allEfficiencyPlots_HI),
1: dict(plots=allEfficiencyPlots_HI)
})
l1tStage2CaloLayer2EmuDiff = l1tDiffHarvesting.clone(
plotCfgs=cms.untracked.VPSet(
cms.untracked.PSet( # EMU comparison
dir1=cms.untracked.string("L1T/L1TStage2CaloLayer2"),
dir2=cms.untracked.string("L1TEMU/L1TStage2CaloLayer2"),
outputDir=cms.untracked.string(
"L1TEMU/L1TStage2CaloLayer2/Comparison"),
plots=cms.untracked.vstring(allPlots)), ))
# modifications for the pp reference run
variables_HI = variables
variables_HI['jet'] = L1TStep1.jetEfficiencyThresholds_HI
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.iteritems():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
allPlots_HI = []
allPlots_HI.extend(allEfficiencyPlots_HI)
allPlots_HI.extend(resolution_plots)
allPlots_HI.extend(plots2D)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tStage2CaloLayer2EmuDiff,
plotCfgs={0: dict(plots=allPlots_HI)})
"atVertex"), # 'innermost' and 'outermost' require the TrackExtra
useSimpleGeometry=cms.bool(True),
useStation2=cms.bool(True),
fallbackToME1=cms.bool(False),
),
verbose=cms.untracked.bool(False))
# emulator module
l1tMuonDQMOfflineEmu = l1tMuonDQMOffline.clone(
gmtInputTag=cms.untracked.InputTag("simGmtStage2Digis"),
histFolder=cms.untracked.string(
'L1TEMU/L1TObjects/L1TMuon/L1TriggerVsReco'))
# modifications for the pp reference run
# A list of pt cut + quality cut pairs for which efficiency plots should be made
ptQualCuts_HI = [[12, 12], [7, 8], [5, 4]]
cutsPSets_HI = []
for ptQualCut in ptQualCuts_HI:
cutsPSets_HI.append(
cms.untracked.PSet(ptCut=cms.untracked.int32(ptQualCut[0]),
qualCut=cms.untracked.int32(ptQualCut[1])))
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tMuonDQMOffline,
tagPtCut=cms.untracked.double(14.),
cuts=cms.untracked.VPSet(cutsPSets_HI),
triggerNames=cms.untracked.vstring("HLT_HIL3Mu12_v*", ))
ppRef_2017.toModify(l1tMuonDQMOfflineEmu,
tagPtCut=cms.untracked.double(14.),
cuts=cms.untracked.VPSet(cutsPSets_HI),
triggerNames=cms.untracked.vstring("HLT_HIL3Mu12_v*", ))
allEfficiencyPlots.append(plotName)
allEfficiencyPlots_HI = []
for plot in plots:
for threshold in muonEfficiencyThresholds_HI:
plotName = '{0}_{1}'.format(plot, threshold)
allEfficiencyPlots_HI.append(plotName)
from DQMOffline.L1Trigger.L1TEfficiencyHarvesting_cfi import l1tEfficiencyHarvesting
l1tMuonDQMEfficiency = l1tEfficiencyHarvesting.clone(
plotCfgs=cms.untracked.VPSet(
cms.untracked.PSet(numeratorDir=cms.untracked.string(
"L1T/L1TMuon/numerators_and_denominators"),
outputDir=cms.untracked.string("L1T/L1TMuon"),
numeratorSuffix=cms.untracked.string("_Num"),
denominatorSuffix=cms.untracked.string("_Den"),
plots=cms.untracked.vstring(allEfficiencyPlots))))
# modifications for the pp reference run
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(
l1tMuonDQMEfficiency,
plotCfgs=cms.untracked.VPSet(
cms.untracked.PSet(
numeratorDir=cms.untracked.string(
"L1T/L1TMuon/numerators_and_denominators"),
outputDir=cms.untracked.string("L1T/L1TMuon"),
numeratorSuffix=cms.untracked.string("_Num"),
denominatorSuffix=cms.untracked.string("_Den"),
plots=cms.untracked.vstring(allEfficiencyPlots_HI))))
plotCfgs=cms.untracked.VPSet(
cms.untracked.PSet(numeratorDir=cms.untracked.string(
"L1TEMU/L1TObjects/L1TJet/L1TriggerVsReco/efficiency_raw"),
outputDir=cms.untracked.string(
"L1TEMU/L1TObjects/L1TJet/L1TriggerVsReco"),
numeratorSuffix=cms.untracked.string("_Num"),
denominatorSuffix=cms.untracked.string("_Den"),
plots=cms.untracked.vstring(allEfficiencyPlots)), ))
# modifications for the pp reference run
variables_HI = variables
variables_HI['jet'] = L1TStep1.jetEfficiencyThresholds_HI
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.iteritems():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tJetEfficiency,
plotCfgs={
0: dict(plots=allEfficiencyPlots_HI),
})
ppRef_2017.toModify(l1tJetEmuEfficiency,
plotCfgs={
0: dict(plots=allEfficiencyPlots_HI),
})
# )
),
)
# modifications for the pp reference run
jetEfficiencyThresholds_HI = [8, 16, 24, 44, 60, 80, 90]
jetEfficiencyBins_HI = []
jetEfficiencyBins_HI.extend(list(xrange(0, 60, 2)))
jetEfficiencyBins_HI.extend(list(xrange(60, 90, 5)))
jetEfficiencyBins_HI.extend(list(xrange(90, 120, 10)))
jetEfficiencyBins_HI.extend(list(xrange(120, 180, 20)))
jetEfficiencyBins_HI.extend(list(xrange(180, 300, 40)))
jetEfficiencyBins_HI.extend(list(xrange(300, 401, 100)))
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(
l1tStage2CaloLayer2OfflineDQM,
TriggerFilter=cms.InputTag('hltEle20WPLoose1GsfTrackIsoFilter', '', 'HLT'),
TriggerPath=cms.string('HLT_Ele20_WPLoose_Gsf_v4'),
jetEfficiencyThresholds=cms.vdouble(jetEfficiencyThresholds_HI),
jetEfficiencyBins=cms.vdouble(jetEfficiencyBins_HI),
)
# emulator module
l1tStage2CaloLayer2OfflineDQMEmu = l1tStage2CaloLayer2OfflineDQM.clone(
stage2CaloLayer2JetSource=cms.InputTag("simCaloStage2Digis"),
stage2CaloLayer2EtSumSource=cms.InputTag("simCaloStage2Digis"),
histFolder=cms.string('L1TEMU/L1TStage2CaloLayer2'),
)
'ett': ['efficiencyETT'],
'htt': ['efficiencyHTT'],
}
from DQMOffline.L1Trigger.L1TCommon import generateEfficiencyStrings
efficiencyStrings = list(generateEfficiencyStrings(variables, plots))
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
l1tEtSumEfficiency = DQMEDHarvester(
"DQMGenericClient",
commands=cms.vstring(),
resolution=cms.vstring(),
subDirs=cms.untracked.vstring('L1T/L1TObjects/L1TEtSum/L1TriggerVsReco'),
efficiency=cms.vstring(),
efficiencyProfile=cms.untracked.vstring(efficiencyStrings),
)
l1tEtSumEmuEfficiency = l1tEtSumEfficiency.clone(
subDirs=['L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco'])
# modifications for the pp reference run
variables_HI = variables
efficiencyStrings_HI = list(generateEfficiencyStrings(variables_HI, plots))
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tEtSumEfficiency, efficiencyProfile=efficiencyStrings_HI)
ppRef_2017.toModify(l1tEtSumEmuEfficiency,
efficiencyProfile=efficiencyStrings_HI)
"EffvsPhi_OPEN", "EffvsPt_DOUBLE", "EffvsEta_DOUBLE", "EffvsPhi_DOUBLE",
"EffvsPt_SINGLE", "EffvsEta_SINGLE", "EffvsPhi_SINGLE"
]
allEfficiencyPlots = []
for plot in plots:
for threshold in muonEfficiencyThresholds:
plotName = '{0}_{1}'.format(plot, threshold)
allEfficiencyPlots.append(plotName)
allEfficiencyPlots_HI = []
for plot in plots:
for threshold in muonEfficiencyThresholds_HI:
plotName = '{0}_{1}'.format(plot, threshold)
allEfficiencyPlots_HI.append(plotName)
from DQMOffline.L1Trigger.L1TEfficiencyHarvesting_cfi import l1tEfficiencyHarvesting
l1tMuonDQMEfficiency = l1tEfficiencyHarvesting.clone(
plotCfgs=cms.untracked.VPSet(
cms.untracked.PSet(numeratorDir=cms.untracked.string(
"L1T/L1TMuon/numerators_and_denominators"),
outputDir=cms.untracked.string("L1T/L1TMuon"),
numeratorSuffix=cms.untracked.string("_Num"),
denominatorSuffix=cms.untracked.string("_Den"),
plots=cms.untracked.vstring(allEfficiencyPlots))))
# modifications for the pp reference run
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tMuonDQMEfficiency,
plotCfgs={0: dict(plots=allEfficiencyPlots_HI)})