if dataVersion.isData():
process.load(
"HiggsAnalysis.HeavyChHiggsToTauNu.HPlusPrescaleWeightProducer_cfi")
process.hplusPrescaleWeightProducer.prescaleWeightTriggerResults.setProcessName(
dataVersion.getTriggerProcess())
process.hplusPrescaleWeightProducer.prescaleWeightHltPaths = param.trigger.triggers.value(
)
process.commonSequence *= process.hplusPrescaleWeightProducer
process.EWKFakeTauAnalysis.prescaleSource = cms.untracked.InputTag(
"hplusPrescaleWeightProducer")
# Print output
print "Trigger:", process.EWKFakeTauAnalysis.trigger
print "Cut on HLT MET (check histogram Trigger_HLT_MET for minimum value): ", process.EWKFakeTauAnalysis.trigger.hltMetCut
print "Trigger efficiencies by: ", ", ".join([
param.formatEfficiencyTrigger(x) for x in
process.EWKFakeTauAnalysis.trigger.triggerEfficiency.selectTriggers
])
print "TauSelection algorithm:", process.EWKFakeTauAnalysis.tauSelection.selection
print "TauSelection src:", process.EWKFakeTauAnalysis.tauSelection.src
print "TauSelection operating mode:", process.EWKFakeTauAnalysis.tauSelection.operatingMode
# Counter analyzer (in order to produce compatible root file with the
# python approach)
process.EWKFakeTauAnalysisCounters = cms.EDAnalyzer(
"HPlusEventCountAnalyzer",
counterNames=cms.untracked.InputTag("EWKFakeTauAnalysis", "counterNames"),
counterInstances=cms.untracked.InputTag("EWKFakeTauAnalysis",
"counterInstances"),
printMainCounter=cms.untracked.bool(True),
printSubCounters=cms.untracked.bool(False), # Default False
TriggerEmulationEfficiency = param.TriggerEmulationEfficiency,
GenParticleAnalysis = param.GenParticleAnalysis
)
# Prescale fetching done automatically for data
if dataVersion.isData():
process.load("HiggsAnalysis.HeavyChHiggsToTauNu.HPlusPrescaleWeightProducer_cfi")
process.hplusPrescaleWeightProducer.prescaleWeightTriggerResults.setProcessName(dataVersion.getTriggerProcess())
process.hplusPrescaleWeightProducer.prescaleWeightHltPaths = param.trigger.triggers.value()
process.commonSequence *= process.hplusPrescaleWeightProducer
process.EWKFakeTauAnalysis.prescaleSource = cms.untracked.InputTag("hplusPrescaleWeightProducer")
# Print output
print "Trigger:", process.EWKFakeTauAnalysis.trigger
print "Cut on HLT MET (check histogram Trigger_HLT_MET for minimum value): ", process.EWKFakeTauAnalysis.trigger.hltMetCut
print "Trigger efficiencies by: ", ", ".join([param.formatEfficiencyTrigger(x) for x in process.EWKFakeTauAnalysis.trigger.triggerEfficiency.selectTriggers])
print "TauSelection algorithm:", process.EWKFakeTauAnalysis.tauSelection.selection
print "TauSelection src:", process.EWKFakeTauAnalysis.tauSelection.src
print "TauSelection operating mode:", process.EWKFakeTauAnalysis.tauSelection.operatingMode
# Counter analyzer (in order to produce compatible root file with the
# python approach)
process.EWKFakeTauAnalysisCounters = cms.EDAnalyzer("HPlusEventCountAnalyzer",
counterNames = cms.untracked.InputTag("EWKFakeTauAnalysis", "counterNames"),
counterInstances = cms.untracked.InputTag("EWKFakeTauAnalysis", "counterInstances"),
printMainCounter = cms.untracked.bool(True),
printSubCounters = cms.untracked.bool(False), # Default False
printAvailableCounters = cms.untracked.bool(False),
)
if len(additionalCounters) > 0:
process.EWKFakeTauAnalysisCounters.counters = cms.untracked.VInputTag([cms.InputTag(c) for c in additionalCounters])
del process.signalAnalysis.tree
process.produceCollections = cms.untracked.bool(True)
# Prescale fetching done automatically for data
if dataVersion.isData():
process.load("HiggsAnalysis.HeavyChHiggsToTauNu.HPlusPrescaleWeightProducer_cfi")
process.hplusPrescaleWeightProducer.prescaleWeightTriggerResults.setProcessName(dataVersion.getTriggerProcess())
process.hplusPrescaleWeightProducer.prescaleWeightHltPaths = param.trigger.triggers.value()
process.commonSequence *= process.hplusPrescaleWeightProducer
process.signalAnalysis.prescaleSource = cms.untracked.InputTag("hplusPrescaleWeightProducer")
# Print output
print "Trigger:", process.signalAnalysis.trigger
print "VertexWeight:",process.signalAnalysis.vertexWeight
print "Cut on HLT MET (check histogram Trigger_HLT_MET for minimum value): ", process.signalAnalysis.trigger.hltMetCut
print "Trigger efficiencies by: ", ", ".join([param.formatEfficiencyTrigger(x) for x in process.signalAnalysis.trigger.triggerEfficiency.selectTriggers])
#print "TauSelection algorithm:", process.signalAnalysis.tauSelection.selection
print "TauSelection algorithm:", process.signalAnalysis.tauSelection.selection
print "TauSelection src:", process.signalAnalysis.tauSelection.src
print "TauSelection operating mode:", process.signalAnalysis.tauSelection.operatingMode
# PickEvent module and the main Path. The picked events are only the
# ones selected by the golden analysis defined above.
process.load("HiggsAnalysis.HeavyChHiggsToTauNu.PickEventsDumper_cfi")
process.signalAnalysisPath = cms.Path(
process.commonSequence * # supposed to be empty, unless "doPat=1" command line argument is given
process.signalAnalysis
)
################################################################################
