from HiggsAnalysis.HeavyChHiggsToTauNu.HChTools import addConfigInfo
process.infoPath = addConfigInfo(process, options, dataVersion)
if dataVersion.isData():
process.HBHENoiseSequence = cms.Sequence()
process.commonSequence.replace(process.HBHENoiseFilter, process.HBHENoiseSequence*process.HBHENoiseFilter)
import HiggsAnalysis.HeavyChHiggsToTauNu.HChDataSelection as DataSelection
DataSelection.addHBHENoiseFilterResultProducer(process, process.HBHENoiseSequence)
################################################################################
# The "golden" version of the signal analysis
import HiggsAnalysis.HeavyChHiggsToTauNu.HChSignalAnalysisParameters_cff as param
param.overrideTriggerFromOptions(options)
param.trigger.triggerSrc.setProcessName(dataVersion.getTriggerProcess())
# Set tau selection mode to 'standard'
param.setAllTauSelectionOperatingMode('standard')
#param.setAllTauSelectionOperatingMode('tauCandidateSelectionOnly')
# Set tau sources to trigger matched tau collections
#param.setAllTauSelectionSrcSelectedPatTaus()
param.setAllTauSelectionSrcSelectedPatTausTriggerMatched()
# Switch to PF2PAT objects
#param.changeCollectionsToPF2PAT()
param.changeCollectionsToPF2PAT(postfix=PF2PATVersion)
# Trigger with scale factors (at the moment hard coded)
if applyTriggerScaleFactor and dataVersion.isMC():
param.triggerEfficiencyScaleFactor.mode = "scaleFactor"
# Set the data scenario for vertex/pileup weighting
# Add configuration information to histograms.root
from HiggsAnalysis.HeavyChHiggsToTauNu.HChTools import addConfigInfo
process.infoPath = addConfigInfo(process, options, dataVersion)
################################################################################
# The "golden" version of the alphat analysis
# Primary vertex selection
from HiggsAnalysis.HeavyChHiggsToTauNu.HChPrimaryVertex import addPrimaryVertexSelection
addPrimaryVertexSelection(process, process.commonSequence)
import HiggsAnalysis.HeavyChHiggsToTauNu.HChSignalAnalysisParameters_cff as param
param.overrideTriggerFromOptions(options)
# Set tau selection mode to 'standard' or 'factorized'
param.setAllTauSelectionOperatingMode('standard')
#param.setAllTauSelectionOperatingMode('factorized')
# Set tau sources to trigger matched tau collections
#param.setAllTauSelectionSrcSelectedPatTaus()
# Set the triggers for trigger efficiency parametrisation
param.trigger.triggerTauSelection = param.tauSelectionHPSVeryLooseTauBased.clone( # VeryLoose
#param.trigger.triggerTauSelection = param.tauSelectionHPSTightTauBased.clone( # Tight
rtauCut=cms.untracked.double(0.0) # No rtau cut for trigger tau
)
param.trigger.triggerMETSelection = param.MET.clone(
METCut=cms.untracked.double(0.0) # No MET cut for trigger MET
)
if (doTriggerParametrisation and not dataVersion.isData()):
# 2010 and 2011 scenarios
################################################################################
# The "golden" version of the signal analysis
# Primary vertex selection
from HiggsAnalysis.HeavyChHiggsToTauNu.HChPrimaryVertex import addPrimaryVertexSelection
addPrimaryVertexSelection(process, process.commonSequence)
# Import Standard SignalAnalysis Parameters and change accordingly
import HiggsAnalysis.HeavyChHiggsToTauNu.HChSignalAnalysisParameters_cff as param
param.overrideTriggerFromOptions(options)
param.trigger.triggerSrc.setProcessName(dataVersion.getTriggerProcess())
# Set tau selection mode to 'standard'
param.setAllTauSelectionOperatingMode("standard")
# Set tau sources to non-trigger matched tau collections
param.setAllTauSelectionSrcSelectedPatTausTriggerMatched()
# param.setAllTauSelectionSrcSelectedPatTaus()
if options.tauEmbeddingInput != 0:
tauEmbeddingCustomisations.addMuonIsolationEmbeddingForSignalAnalysis(process, process.commonSequence)
tauEmbeddingCustomisations.setCaloMetSum(process, process.commonSequence, param, dataVersion)
tauEmbeddingCustomisations.customiseParamForTauEmbedding(param, dataVersion)
if tauEmbeddingFinalizeMuonSelection:
applyIsolation = not doTauEmbeddingMuonSelectionScan
additionalCounters.extend(
tauEmbeddingCustomisations.addFinalMuonSelection(
process, process.commonSequence, param, enableIsolation=applyIsolation
)
process.infoPath = addConfigInfo(process, options, dataVersion)
################################################################################
# qcdMeasurementMethod3 module
# Primary vertex selection
from HiggsAnalysis.HeavyChHiggsToTauNu.HChPrimaryVertex import addPrimaryVertexSelection
addPrimaryVertexSelection(process, process.commonSequence)
# Import default parameter set and make necessary tweaks
import HiggsAnalysis.HeavyChHiggsToTauNu.HChSignalAnalysisParameters_cff as param
param.overrideTriggerFromOptions(options)
param.trigger.triggerSrc.setProcessName(dataVersion.getTriggerProcess())
# Set tau selection mode (options: 'tauCandidateSelectionOnly', 'tauCandidateSelectionOnlyReversedRtau')
# other options (use not recommended here): 'standard'
param.setAllTauSelectionOperatingMode('tauCandidateSelectionOnly')
# Set tau sources to trigger matched tau collections
param.setAllTauSelectionSrcSelectedPatTausTriggerMatched()
# Trigger with scale factors (at the moment hard coded)
if applyTriggerScaleFactor and dataVersion.isMC():
param.triggerEfficiencyScaleFactor.mode = "scaleFactor"
# Set the data scenario for vertex/pileup weighting
param.setPileupWeightFor2011(dataVersion, era="EPS", method="intime") # Reweight by true PU distribution
param.setDataTriggerEfficiency(dataVersion, era="EPS")
#Reminder(from HChSignalAnalysisParameters_cff.py):
#def setTriggerPileupFor2011(**kwargs):
process.infoPath = addConfigInfo(process, options, dataVersion)
################################################################################
# The "golden" version of the signal analysis
# Primary vertex selection
from HiggsAnalysis.HeavyChHiggsToTauNu.HChPrimaryVertex import addPrimaryVertexSelection
addPrimaryVertexSelection(process, process.commonSequence)
import HiggsAnalysis.HeavyChHiggsToTauNu.HChSignalAnalysisParameters_cff as param
param.overrideTriggerFromOptions(options)
param.trigger.triggerSrc.setProcessName(dataVersion.getTriggerProcess())
# Set tau selection mode to 'standard'
param.setAllTauSelectionOperatingMode("standard")
# param.setAllTauSelectionOperatingMode('tauCandidateSelectionOnly')
# Set tau sources to trigger matched tau collections
# param.setAllTauSelectionSrcSelectedPatTaus()
param.setAllTauSelectionSrcSelectedPatTausTriggerMatched()
# Trigger with scale factors (at the moment hard coded)
if applyTriggerScaleFactor and dataVersion.isMC():
param.triggerEfficiencyScaleFactor.mode = "scaleFactor"
# Set the data scenario for vertex/pileup weighting
puweight = "Run2011A"
if len(options.puWeightEra) > 0:
puweight = options.puWeightEra
param.setPileupWeightFor2011(dataVersion, era=puweight) # Reweight by true PU distribution
