ecalMultiFitUncalibRecHit_cfi.py

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import FWCore.ParameterSet.Config as cms

from RecoLocalCalo.EcalRecProducers.ecalPulseShapeParameters_cff import *

ecalMultiFitUncalibRecHit = cms.EDProducer("EcalUncalibRecHitProducer",
    EBdigiCollection = cms.InputTag("ecalDigis","ebDigis"),
    EEdigiCollection = cms.InputTag("ecalDigis","eeDigis"),
    EBhitCollection = cms.string("EcalUncalibRecHitsEB"),
    EEhitCollection = cms.string('EcalUncalibRecHitsEE'),
    algo = cms.string("EcalUncalibRecHitWorkerMultiFit"),
    algoPSet = cms.PSet(
      # for multifit method
      EcalPulseShapeParameters = cms.PSet( ecal_pulse_shape_parameters ),
      activeBXs = cms.vint32(-5,-4,-3,-2,-1,0,1,2,3,4),
      ampErrorCalculation = cms.bool(True),
      useLumiInfoRunHeader = cms.bool(True),
  
      doPrefitEB = cms.bool(False),
      doPrefitEE = cms.bool(False),
      prefitMaxChiSqEB = cms.double(25.),
      prefitMaxChiSqEE = cms.double(10.),
      
      dynamicPedestalsEB = cms.bool(False),
      dynamicPedestalsEE = cms.bool(False),
      mitigateBadSamplesEB = cms.bool(False),
      mitigateBadSamplesEE = cms.bool(False),
      gainSwitchUseMaxSampleEB = cms.bool(True),
      gainSwitchUseMaxSampleEE = cms.bool(False),      
      selectiveBadSampleCriteriaEB = cms.bool(False),
      selectiveBadSampleCriteriaEE = cms.bool(False),
      simplifiedNoiseModelForGainSwitch = cms.bool(True),
      addPedestalUncertaintyEB = cms.double(0.),
      addPedestalUncertaintyEE = cms.double(0.),
  
      # decide which algorithm to be use to calculate the jitter
      timealgo = cms.string("RatioMethod"),
  
      # for ratio method
      EBtimeFitParameters = cms.vdouble(-2.015452e+00, 3.130702e+00, -1.234730e+01, 4.188921e+01, -8.283944e+01, 9.101147e+01, -5.035761e+01, 1.105621e+01),
      EEtimeFitParameters = cms.vdouble(-2.390548e+00, 3.553628e+00, -1.762341e+01, 6.767538e+01, -1.332130e+02, 1.407432e+02, -7.541106e+01, 1.620277e+01),
      EBamplitudeFitParameters = cms.vdouble(1.138,1.652),
      EEamplitudeFitParameters = cms.vdouble(1.890,1.400),
      EBtimeFitLimits_Lower = cms.double(0.2),
      EBtimeFitLimits_Upper = cms.double(1.4),
      EEtimeFitLimits_Lower = cms.double(0.2),
      EEtimeFitLimits_Upper = cms.double(1.4),
      # for time error
      EBtimeConstantTerm= cms.double(.6),
      EEtimeConstantTerm= cms.double(1.0),
     
      # for kOutOfTime flag
      EBtimeNconst      = cms.double(28.5),
      EEtimeNconst      = cms.double(31.8),
      outOfTimeThresholdGain12pEB    = cms.double(5),      # times estimated precision
      outOfTimeThresholdGain12mEB    = cms.double(5),      # times estimated precision
      outOfTimeThresholdGain61pEB    = cms.double(5),      # times estimated precision
      outOfTimeThresholdGain61mEB    = cms.double(5),      # times estimated precision
      outOfTimeThresholdGain12pEE    = cms.double(1000),   # times estimated precision
      outOfTimeThresholdGain12mEE    = cms.double(1000),   # times estimated precision
      outOfTimeThresholdGain61pEE    = cms.double(1000),   # times estimated precision
      outOfTimeThresholdGain61mEE    = cms.double(1000),   # times estimated precision
      amplitudeThresholdEB    = cms.double(10),
      amplitudeThresholdEE    = cms.double(10),
  
      ebSpikeThreshold = cms.double(1.042),
  
      # these are now taken from DB. Here the MC parameters for backward compatibility
      ebPulseShape = cms.vdouble( 5.2e-05,-5.26e-05 , 6.66e-05, 0.1168, 0.7575, 1.,  0.8876, 0.6732, 0.4741,  0.3194 ),
      eePulseShape = cms.vdouble( 5.2e-05,-5.26e-05 , 6.66e-05, 0.1168, 0.7575, 1.,  0.8876, 0.6732, 0.4741,  0.3194 ),   
  
      # for kPoorReco flag
      kPoorRecoFlagEB = cms.bool(True),
      kPoorRecoFlagEE = cms.bool(False),
      chi2ThreshEB_ = cms.double(65.0),
      chi2ThreshEE_ = cms.double(50.0),

      # for crossCorrelationMethod
      crossCorrelationStartTime = cms.double(-25),
      crossCorrelationStopTime = cms.double(25),
      crossCorrelationTargetTimePrecision = cms.double(0.01),
   )                                           
)