| 1 |
mlethuil |
1.1 |
#ifndef TRootElectron_h
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| 2 |
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#define TRootElectron_h
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| 4 |
lethuill |
1.4 |
#include <map>
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mlethuil |
1.1 |
#include "../interface/TRootParticle.h"
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using namespace std;
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class TRootElectron : public TRootParticle
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{
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lethuill |
1.3 |
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lethuill |
1.4 |
public:
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lethuill |
1.3 |
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lethuill |
1.4 |
TRootElectron() :
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TRootParticle()
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,classification_(-9999)
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,caloEnergy_(-9999.)
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| 19 |
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,caloEnergyError_(-9999.)
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| 20 |
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,trackMomentum_(-9999.)
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,trackMomentumError_(-9999.)
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,hadOverEm_(-9999.)
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,deltaEtaIn_(-9999.)
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,deltaPhiIn_(-9999.)
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,energySuperClusterOverPin_(-9999.)
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,deltaEtaOut_(-9999.)
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,deltaPhiOut_(-9999.)
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,energySeedClusterOverPout_(-9999.)
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,energyScaleCorrected_(false)
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,momentumCorrected_(false)
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lethuill |
1.9 |
,pixelLayersWithMeasurement_(-1)
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,stripLayersWithMeasurement_(-1)
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lethuill |
1.4 |
,d0_(-9999.)
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,d0Error_(-9999.)
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,dsz_(-9999.)
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,dszError_(-9999.)
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,normalizedChi2_(-9999.)
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,ptError_(-9999.)
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,etaError_(-9999.)
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,phiError_(-9999.)
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,nbClusters_(-9999)
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,superClusterRawEnergy_(-9999.)
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,preshowerEnergy_(-9999.)
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,caloPosition_(-9999.,-9999.,-9999.)
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,scRef_()
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,clusterAlgo_(-9999)
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,caloConeSize_(-9999.)
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,e2x2_(-9999.)
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,e3x3_(-9999.)
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,e5x5_(-9999.)
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,eMax_(-9999.)
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,isoR01_sumPt_(-9999.)
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,isoR01_nTracks_(-9999)
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,isoR02_sumPt_(-9999.)
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,isoR02_nTracks_(-9999)
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,isoR03_emEt_(-9999.)
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,isoR03_hadEt_(-9999.)
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,isoR03_sumPt_(-9999.)
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,isoR03_nTracks_(-9999)
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,isoR05_emEt_(-9999.)
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,isoR05_hadEt_(-9999.)
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,isoR05_sumPt_(-9999.)
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,isoR05_nTracks_(-9999)
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lethuill |
1.7 |
,idCutBasedFixedThresholdLoose_(-1)
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,idCutBasedFixedThresholdTight_(-1)
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,idCutBasedFixedThresholdHighEnergy_(-1)
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,idCutBasedCategorizedLoose_(-1)
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,idCutBasedCategorizedTight_(-1)
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| 69 |
lethuill |
1.4 |
,idLikelihood_(-9999.)
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,idNeuralNet_(-9999.)
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{;}
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TRootElectron(const TRootElectron& electron) :
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TRootParticle(electron)
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,classification_(electron.classification_)
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,caloEnergy_(electron.caloEnergy_)
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,caloEnergyError_(electron.caloEnergyError_)
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,trackMomentum_(electron.trackMomentum_)
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,trackMomentumError_(electron.trackMomentumError_)
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,hadOverEm_(electron.hadOverEm_)
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,deltaEtaIn_(electron.deltaEtaIn_)
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,deltaPhiIn_(electron.deltaPhiIn_)
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,energySuperClusterOverPin_(electron.energySuperClusterOverPin_)
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,deltaEtaOut_(electron.deltaEtaOut_)
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,deltaPhiOut_(electron.deltaPhiOut_)
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,energySeedClusterOverPout_(electron.energySeedClusterOverPout_)
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,energyScaleCorrected_(electron.energyScaleCorrected_)
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,momentumCorrected_(electron.momentumCorrected_)
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lethuill |
1.9 |
,pixelLayersWithMeasurement_(electron.pixelLayersWithMeasurement_)
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| 90 |
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,stripLayersWithMeasurement_(electron.stripLayersWithMeasurement_)
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lethuill |
1.4 |
,d0_(electron.d0_)
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,d0Error_(electron.d0Error_)
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,dsz_(electron.dsz_)
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,dszError_(electron.dszError_)
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,normalizedChi2_(electron.normalizedChi2_)
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,ptError_(electron.ptError_)
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| 97 |
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,etaError_(electron.etaError_)
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,phiError_(electron.phiError_)
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,nbClusters_(electron.nbClusters_)
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,superClusterRawEnergy_(electron.superClusterRawEnergy_)
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,preshowerEnergy_(electron.preshowerEnergy_)
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,caloPosition_(electron.caloPosition_)
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,scRef_(electron.scRef_)
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,clusterAlgo_(electron.clusterAlgo_)
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,caloConeSize_(electron.caloConeSize_)
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,e2x2_(electron.e2x2_)
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| 107 |
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,e3x3_(electron.e3x3_)
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| 108 |
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,e5x5_(electron.e5x5_)
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,eMax_(electron.eMax_)
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,isoR01_sumPt_(electron.isoR01_sumPt_)
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,isoR01_nTracks_(electron.isoR01_nTracks_)
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,isoR02_sumPt_(electron.isoR02_sumPt_)
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| 113 |
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,isoR02_nTracks_(electron.isoR02_nTracks_)
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,isoR03_emEt_(electron.isoR03_emEt_)
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| 115 |
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,isoR03_hadEt_(electron.isoR03_hadEt_)
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| 116 |
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,isoR03_sumPt_(electron.isoR03_sumPt_)
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| 117 |
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,isoR03_nTracks_(electron.isoR03_nTracks_)
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| 118 |
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,isoR05_emEt_(electron.isoR05_emEt_)
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| 119 |
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,isoR05_hadEt_(electron.isoR05_hadEt_)
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| 120 |
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,isoR05_sumPt_(electron.isoR05_sumPt_)
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| 121 |
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,isoR05_nTracks_(electron.isoR05_nTracks_)
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| 122 |
lethuill |
1.7 |
,idCutBasedFixedThresholdLoose_(electron.idCutBasedFixedThresholdLoose_)
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| 123 |
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,idCutBasedFixedThresholdTight_(electron.idCutBasedFixedThresholdTight_)
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| 124 |
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,idCutBasedFixedThresholdHighEnergy_(electron.idCutBasedFixedThresholdHighEnergy_)
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| 125 |
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,idCutBasedCategorizedLoose_(electron.idCutBasedCategorizedLoose_)
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| 126 |
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,idCutBasedCategorizedTight_(electron.idCutBasedCategorizedTight_)
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| 127 |
lethuill |
1.4 |
,idLikelihood_(electron.idLikelihood_)
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| 128 |
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,idNeuralNet_(electron.idNeuralNet_)
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| 129 |
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{;}
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| 131 |
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TRootElectron(Double_t px, Double_t py, Double_t pz, Double_t e) :
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| 132 |
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TRootParticle(px,py,pz,e)
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| 133 |
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,classification_(-9999)
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| 134 |
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,caloEnergy_(-9999.)
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| 135 |
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,caloEnergyError_(-9999.)
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| 136 |
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,trackMomentum_(-9999.)
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| 137 |
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,trackMomentumError_(-9999.)
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| 138 |
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,hadOverEm_(-9999.)
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| 139 |
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,deltaEtaIn_(-9999.)
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| 140 |
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,deltaPhiIn_(-9999.)
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| 141 |
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,energySuperClusterOverPin_(-9999.)
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| 142 |
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,deltaEtaOut_(-9999.)
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| 143 |
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,deltaPhiOut_(-9999.)
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| 144 |
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,energySeedClusterOverPout_(-9999.)
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| 145 |
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,energyScaleCorrected_(false)
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| 146 |
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,momentumCorrected_(false)
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| 147 |
lethuill |
1.9 |
,pixelLayersWithMeasurement_(-1)
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| 148 |
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,stripLayersWithMeasurement_(-1)
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| 149 |
lethuill |
1.4 |
,d0_(-9999.)
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| 150 |
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,d0Error_(-9999.)
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| 151 |
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,dsz_(-9999.)
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| 152 |
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,dszError_(-9999.)
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| 153 |
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,normalizedChi2_(-9999.)
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| 154 |
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,ptError_(-9999.)
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| 155 |
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,etaError_(-9999.)
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| 156 |
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,phiError_(-9999.)
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| 157 |
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,nbClusters_(-9999)
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| 158 |
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,superClusterRawEnergy_(-9999.)
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| 159 |
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,preshowerEnergy_(-9999.)
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| 160 |
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,caloPosition_(-9999.,-9999.,-9999.)
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| 161 |
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,scRef_()
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| 162 |
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,clusterAlgo_(-9999)
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| 163 |
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,caloConeSize_(-9999.)
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| 164 |
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,e2x2_(-9999.)
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| 165 |
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,e3x3_(-9999.)
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| 166 |
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,e5x5_(-9999.)
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| 167 |
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,eMax_(-9999.)
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| 168 |
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,isoR01_sumPt_(-9999.)
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| 169 |
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,isoR01_nTracks_(-9999)
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| 170 |
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,isoR02_sumPt_(-9999.)
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| 171 |
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,isoR02_nTracks_(-9999)
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| 172 |
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,isoR03_emEt_(-9999.)
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| 173 |
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,isoR03_hadEt_(-9999.)
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| 174 |
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,isoR03_sumPt_(-9999.)
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| 175 |
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,isoR03_nTracks_(-9999)
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| 176 |
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,isoR05_emEt_(-9999.)
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| 177 |
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,isoR05_hadEt_(-9999.)
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| 178 |
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,isoR05_sumPt_(-9999.)
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| 179 |
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,isoR05_nTracks_(-9999)
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| 180 |
lethuill |
1.7 |
,idCutBasedFixedThresholdLoose_(-1)
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| 181 |
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,idCutBasedFixedThresholdTight_(-1)
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| 182 |
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,idCutBasedFixedThresholdHighEnergy_(-1)
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| 183 |
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,idCutBasedCategorizedLoose_(-1)
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| 184 |
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,idCutBasedCategorizedTight_(-1)
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| 185 |
lethuill |
1.4 |
,idLikelihood_(-9999.)
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| 186 |
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,idNeuralNet_(-9999.)
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| 187 |
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{;}
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| 188 |
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| 189 |
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TRootElectron(Double_t px, Double_t py, Double_t pz, Double_t e, Double_t vtx_x, Double_t vtx_y, Double_t vtx_z) :
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| 190 |
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TRootParticle(px,py,pz,e,vtx_x,vtx_y,vtx_z)
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| 191 |
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,classification_(-9999)
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| 192 |
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,caloEnergy_(-9999.)
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| 193 |
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,caloEnergyError_(-9999.)
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| 194 |
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,trackMomentum_(-9999.)
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| 195 |
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,trackMomentumError_(-9999.)
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| 196 |
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,hadOverEm_(-9999.)
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| 197 |
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,deltaEtaIn_(-9999.)
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| 198 |
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,deltaPhiIn_(-9999.)
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| 199 |
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,energySuperClusterOverPin_(-9999.)
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| 200 |
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,deltaEtaOut_(-9999.)
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| 201 |
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,deltaPhiOut_(-9999.)
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| 202 |
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,energySeedClusterOverPout_(-9999.)
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| 203 |
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,energyScaleCorrected_(false)
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| 204 |
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,momentumCorrected_(false)
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| 205 |
lethuill |
1.9 |
,pixelLayersWithMeasurement_(-1)
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| 206 |
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,stripLayersWithMeasurement_(-1)
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| 207 |
lethuill |
1.4 |
,d0_(-9999.)
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| 208 |
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,d0Error_(-9999.)
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| 209 |
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,dsz_(-9999.)
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| 210 |
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,dszError_(-9999.)
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| 211 |
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,normalizedChi2_(-9999.)
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| 212 |
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,ptError_(-9999.)
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| 213 |
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,etaError_(-9999.)
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| 214 |
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,phiError_(-9999.)
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| 215 |
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,nbClusters_(-9999)
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| 216 |
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,superClusterRawEnergy_(-9999.)
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| 217 |
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,preshowerEnergy_(-9999.)
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| 218 |
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,caloPosition_(-9999.,-9999.,-9999.)
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| 219 |
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,scRef_()
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| 220 |
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,clusterAlgo_(-9999)
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| 221 |
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,caloConeSize_(-9999.)
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| 222 |
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,e2x2_(-9999.)
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| 223 |
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,e3x3_(-9999.)
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| 224 |
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,e5x5_(-9999.)
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| 225 |
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,eMax_(-9999.)
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| 226 |
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,isoR01_sumPt_(-9999.)
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| 227 |
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,isoR01_nTracks_(-9999)
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| 228 |
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,isoR02_sumPt_(-9999.)
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| 229 |
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,isoR02_nTracks_(-9999)
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| 230 |
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,isoR03_emEt_(-9999.)
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| 231 |
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,isoR03_hadEt_(-9999.)
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| 232 |
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,isoR03_sumPt_(-9999.)
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| 233 |
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,isoR03_nTracks_(-9999)
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| 234 |
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,isoR05_emEt_(-9999.)
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| 235 |
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,isoR05_hadEt_(-9999.)
|
| 236 |
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,isoR05_sumPt_(-9999.)
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| 237 |
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,isoR05_nTracks_(-9999)
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| 238 |
lethuill |
1.7 |
,idCutBasedFixedThresholdLoose_(-1)
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| 239 |
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,idCutBasedFixedThresholdTight_(-1)
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| 240 |
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,idCutBasedFixedThresholdHighEnergy_(-1)
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| 241 |
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,idCutBasedCategorizedLoose_(-1)
|
| 242 |
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,idCutBasedCategorizedTight_(-1)
|
| 243 |
lethuill |
1.4 |
,idLikelihood_(-9999.)
|
| 244 |
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,idNeuralNet_(-9999.)
|
| 245 |
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{;}
|
| 246 |
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|
| 247 |
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TRootElectron(Double_t px, Double_t py, Double_t pz, Double_t e, Double_t vtx_x, Double_t vtx_y, Double_t vtx_z, Int_t type, Float_t charge) :
|
| 248 |
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TRootParticle(px,py,pz,e,vtx_x,vtx_y,vtx_z,type,charge)
|
| 249 |
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,classification_(-9999)
|
| 250 |
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,caloEnergy_(-9999.)
|
| 251 |
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,caloEnergyError_(-9999.)
|
| 252 |
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,trackMomentum_(-9999.)
|
| 253 |
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,trackMomentumError_(-9999.)
|
| 254 |
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,hadOverEm_(-9999.)
|
| 255 |
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,deltaEtaIn_(-9999.)
|
| 256 |
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,deltaPhiIn_(-9999.)
|
| 257 |
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,energySuperClusterOverPin_(-9999.)
|
| 258 |
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,deltaEtaOut_(-9999.)
|
| 259 |
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,deltaPhiOut_(-9999.)
|
| 260 |
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,energySeedClusterOverPout_(-9999.)
|
| 261 |
|
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,energyScaleCorrected_(false)
|
| 262 |
|
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,momentumCorrected_(false)
|
| 263 |
lethuill |
1.9 |
,pixelLayersWithMeasurement_(-1)
|
| 264 |
|
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,stripLayersWithMeasurement_(-1)
|
| 265 |
lethuill |
1.4 |
,d0_(-9999.)
|
| 266 |
|
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,d0Error_(-9999.)
|
| 267 |
|
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,dsz_(-9999.)
|
| 268 |
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,dszError_(-9999.)
|
| 269 |
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,normalizedChi2_(-9999.)
|
| 270 |
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,ptError_(-9999.)
|
| 271 |
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,etaError_(-9999.)
|
| 272 |
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,phiError_(-9999.)
|
| 273 |
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,nbClusters_(-9999)
|
| 274 |
|
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,superClusterRawEnergy_(-9999.)
|
| 275 |
|
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,preshowerEnergy_(-9999.)
|
| 276 |
|
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,caloPosition_(-9999.,-9999.,-9999.)
|
| 277 |
|
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,scRef_()
|
| 278 |
|
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,clusterAlgo_(-9999)
|
| 279 |
|
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,caloConeSize_(-9999.)
|
| 280 |
|
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,e2x2_(-9999.)
|
| 281 |
|
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,e3x3_(-9999.)
|
| 282 |
|
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,e5x5_(-9999.)
|
| 283 |
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,eMax_(-9999.)
|
| 284 |
|
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,isoR01_sumPt_(-9999.)
|
| 285 |
|
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,isoR01_nTracks_(-9999)
|
| 286 |
|
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,isoR02_sumPt_(-9999.)
|
| 287 |
|
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,isoR02_nTracks_(-9999)
|
| 288 |
|
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,isoR03_emEt_(-9999.)
|
| 289 |
|
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,isoR03_hadEt_(-9999.)
|
| 290 |
|
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,isoR03_sumPt_(-9999.)
|
| 291 |
|
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,isoR03_nTracks_(-9999)
|
| 292 |
|
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,isoR05_emEt_(-9999.)
|
| 293 |
|
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,isoR05_hadEt_(-9999.)
|
| 294 |
|
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,isoR05_sumPt_(-9999.)
|
| 295 |
|
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,isoR05_nTracks_(-9999)
|
| 296 |
lethuill |
1.7 |
,idCutBasedFixedThresholdLoose_(-1)
|
| 297 |
|
|
,idCutBasedFixedThresholdTight_(-1)
|
| 298 |
|
|
,idCutBasedFixedThresholdHighEnergy_(-1)
|
| 299 |
|
|
,idCutBasedCategorizedLoose_(-1)
|
| 300 |
|
|
,idCutBasedCategorizedTight_(-1)
|
| 301 |
lethuill |
1.4 |
,idLikelihood_(-9999.)
|
| 302 |
|
|
,idNeuralNet_(-9999.)
|
| 303 |
|
|
{;}
|
| 304 |
|
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|
| 305 |
|
|
TRootElectron(const TLorentzVector &momentum) :
|
| 306 |
|
|
TRootParticle(momentum)
|
| 307 |
|
|
,classification_(-9999)
|
| 308 |
|
|
,caloEnergy_(-9999.)
|
| 309 |
|
|
,caloEnergyError_(-9999.)
|
| 310 |
|
|
,trackMomentum_(-9999.)
|
| 311 |
|
|
,trackMomentumError_(-9999.)
|
| 312 |
|
|
,hadOverEm_(-9999.)
|
| 313 |
|
|
,deltaEtaIn_(-9999.)
|
| 314 |
|
|
,deltaPhiIn_(-9999.)
|
| 315 |
|
|
,energySuperClusterOverPin_(-9999.)
|
| 316 |
|
|
,deltaEtaOut_(-9999.)
|
| 317 |
|
|
,deltaPhiOut_(-9999.)
|
| 318 |
|
|
,energySeedClusterOverPout_(-9999.)
|
| 319 |
|
|
,energyScaleCorrected_(false)
|
| 320 |
|
|
,momentumCorrected_(false)
|
| 321 |
lethuill |
1.9 |
,pixelLayersWithMeasurement_(-1)
|
| 322 |
|
|
,stripLayersWithMeasurement_(-1)
|
| 323 |
lethuill |
1.4 |
,d0_(-9999.)
|
| 324 |
|
|
,d0Error_(-9999.)
|
| 325 |
|
|
,dsz_(-9999.)
|
| 326 |
|
|
,dszError_(-9999.)
|
| 327 |
|
|
,normalizedChi2_(-9999.)
|
| 328 |
|
|
,ptError_(-9999.)
|
| 329 |
|
|
,etaError_(-9999.)
|
| 330 |
|
|
,phiError_(-9999.)
|
| 331 |
|
|
,nbClusters_(-9999)
|
| 332 |
|
|
,superClusterRawEnergy_(-9999.)
|
| 333 |
|
|
,preshowerEnergy_(-9999.)
|
| 334 |
|
|
,caloPosition_(-9999.,-9999.,-9999.)
|
| 335 |
|
|
,scRef_()
|
| 336 |
|
|
,clusterAlgo_(-9999)
|
| 337 |
|
|
,caloConeSize_(-9999.)
|
| 338 |
|
|
,e2x2_(-9999.)
|
| 339 |
|
|
,e3x3_(-9999.)
|
| 340 |
|
|
,e5x5_(-9999.)
|
| 341 |
|
|
,eMax_(-9999.)
|
| 342 |
|
|
,isoR01_sumPt_(-9999.)
|
| 343 |
|
|
,isoR01_nTracks_(-9999)
|
| 344 |
|
|
,isoR02_sumPt_(-9999.)
|
| 345 |
|
|
,isoR02_nTracks_(-9999)
|
| 346 |
|
|
,isoR03_emEt_(-9999.)
|
| 347 |
|
|
,isoR03_hadEt_(-9999.)
|
| 348 |
|
|
,isoR03_sumPt_(-9999.)
|
| 349 |
|
|
,isoR03_nTracks_(-9999)
|
| 350 |
|
|
,isoR05_emEt_(-9999.)
|
| 351 |
|
|
,isoR05_hadEt_(-9999.)
|
| 352 |
|
|
,isoR05_sumPt_(-9999.)
|
| 353 |
|
|
,isoR05_nTracks_(-9999)
|
| 354 |
lethuill |
1.7 |
,idCutBasedFixedThresholdLoose_(-1)
|
| 355 |
|
|
,idCutBasedFixedThresholdTight_(-1)
|
| 356 |
|
|
,idCutBasedFixedThresholdHighEnergy_(-1)
|
| 357 |
|
|
,idCutBasedCategorizedLoose_(-1)
|
| 358 |
|
|
,idCutBasedCategorizedTight_(-1)
|
| 359 |
lethuill |
1.4 |
,idLikelihood_(-9999.)
|
| 360 |
|
|
,idNeuralNet_(-9999.)
|
| 361 |
|
|
{;}
|
| 362 |
|
|
|
| 363 |
|
|
TRootElectron(const TLorentzVector &momentum, const TVector3 &vertex, Int_t type, Float_t charge) :
|
| 364 |
|
|
TRootParticle(momentum, vertex, type, charge)
|
| 365 |
|
|
,classification_(-9999)
|
| 366 |
|
|
,caloEnergy_(-9999.)
|
| 367 |
|
|
,caloEnergyError_(-9999.)
|
| 368 |
|
|
,trackMomentum_(-9999.)
|
| 369 |
|
|
,trackMomentumError_(-9999.)
|
| 370 |
|
|
,hadOverEm_(-9999.)
|
| 371 |
|
|
,deltaEtaIn_(-9999.)
|
| 372 |
|
|
,deltaPhiIn_(-9999.)
|
| 373 |
|
|
,energySuperClusterOverPin_(-9999.)
|
| 374 |
|
|
,deltaEtaOut_(-9999.)
|
| 375 |
|
|
,deltaPhiOut_(-9999.)
|
| 376 |
|
|
,energySeedClusterOverPout_(-9999.)
|
| 377 |
|
|
,energyScaleCorrected_(false)
|
| 378 |
|
|
,momentumCorrected_(false)
|
| 379 |
lethuill |
1.9 |
,pixelLayersWithMeasurement_(-1)
|
| 380 |
|
|
,stripLayersWithMeasurement_(-1)
|
| 381 |
lethuill |
1.4 |
,d0_(-9999.)
|
| 382 |
|
|
,d0Error_(-9999.)
|
| 383 |
|
|
,dsz_(-9999.)
|
| 384 |
|
|
,dszError_(-9999.)
|
| 385 |
|
|
,normalizedChi2_(-9999.)
|
| 386 |
|
|
,ptError_(-9999.)
|
| 387 |
|
|
,etaError_(-9999.)
|
| 388 |
|
|
,phiError_(-9999.)
|
| 389 |
|
|
,nbClusters_(-9999)
|
| 390 |
|
|
,superClusterRawEnergy_(-9999.)
|
| 391 |
|
|
,preshowerEnergy_(-9999.)
|
| 392 |
|
|
,caloPosition_(-9999.,-9999.,-9999.)
|
| 393 |
|
|
,scRef_()
|
| 394 |
|
|
,clusterAlgo_(-9999)
|
| 395 |
|
|
,caloConeSize_(-9999.)
|
| 396 |
|
|
,e2x2_(-9999.)
|
| 397 |
|
|
,e3x3_(-9999.)
|
| 398 |
|
|
,e5x5_(-9999.)
|
| 399 |
|
|
,eMax_(-9999.)
|
| 400 |
|
|
,isoR01_sumPt_(-9999.)
|
| 401 |
|
|
,isoR01_nTracks_(-9999)
|
| 402 |
|
|
,isoR02_sumPt_(-9999.)
|
| 403 |
|
|
,isoR02_nTracks_(-9999)
|
| 404 |
|
|
,isoR03_emEt_(-9999.)
|
| 405 |
|
|
,isoR03_hadEt_(-9999.)
|
| 406 |
|
|
,isoR03_sumPt_(-9999.)
|
| 407 |
|
|
,isoR03_nTracks_(-9999)
|
| 408 |
|
|
,isoR05_emEt_(-9999.)
|
| 409 |
|
|
,isoR05_hadEt_(-9999.)
|
| 410 |
|
|
,isoR05_sumPt_(-9999.)
|
| 411 |
|
|
,isoR05_nTracks_(-9999)
|
| 412 |
lethuill |
1.7 |
,idCutBasedFixedThresholdLoose_(-1)
|
| 413 |
|
|
,idCutBasedFixedThresholdTight_(-1)
|
| 414 |
|
|
,idCutBasedFixedThresholdHighEnergy_(-1)
|
| 415 |
|
|
,idCutBasedCategorizedLoose_(-1)
|
| 416 |
|
|
,idCutBasedCategorizedTight_(-1)
|
| 417 |
lethuill |
1.4 |
,idLikelihood_(-9999.)
|
| 418 |
|
|
,idNeuralNet_(-9999.)
|
| 419 |
|
|
{;}
|
| 420 |
|
|
|
| 421 |
|
|
~TRootElectron() {;}
|
| 422 |
|
|
|
| 423 |
|
|
|
| 424 |
|
|
Int_t classification() const { return classification_ ;}
|
| 425 |
|
|
Float_t caloEnergy() const { return caloEnergy_ ;}
|
| 426 |
|
|
Float_t caloEnergyError() const { return caloEnergyError_ ;}
|
| 427 |
|
|
Float_t trackMomentum() const { return trackMomentum_ ;}
|
| 428 |
|
|
Float_t trackMomentumError() const { return trackMomentumError_ ;}
|
| 429 |
|
|
Float_t hadOverEm() const { return hadOverEm_ ;}
|
| 430 |
|
|
Float_t deltaEtaIn() const { return deltaEtaIn_ ;}
|
| 431 |
|
|
Float_t deltaPhiIn() const { return deltaPhiIn_ ;}
|
| 432 |
|
|
Float_t energySuperClusterOverPin() const { return energySuperClusterOverPin_ ;}
|
| 433 |
|
|
Float_t deltaEtaOut() const { return deltaEtaOut_ ;}
|
| 434 |
|
|
Float_t deltaPhiOut() const { return deltaPhiOut_ ;}
|
| 435 |
|
|
Float_t energySeedClusterOverPout() const { return energySeedClusterOverPout_ ;}
|
| 436 |
|
|
Bool_t energyScaleCorrected() const { return energyScaleCorrected_ ;}
|
| 437 |
|
|
Bool_t momentumCorrected() const { return momentumCorrected_ ;}
|
| 438 |
lethuill |
1.9 |
|
| 439 |
|
|
Int_t pixelLayersWithMeasurement() const { return pixelLayersWithMeasurement_; }
|
| 440 |
|
|
Int_t stripLayersWithMeasurement() const { return stripLayersWithMeasurement_; }
|
| 441 |
lethuill |
1.4 |
Float_t d0() const { return d0_ ;}
|
| 442 |
|
|
Float_t d0Error() const { return d0Error_ ;}
|
| 443 |
|
|
Float_t dsz() const { return dsz_ ;}
|
| 444 |
|
|
Float_t dszError() const { return dszError_ ;}
|
| 445 |
|
|
Float_t normalizedChi2() const { return normalizedChi2_ ;}
|
| 446 |
|
|
Float_t ptError() const { return ptError_ ;}
|
| 447 |
|
|
Float_t etaError() const { return etaError_ ;}
|
| 448 |
|
|
Float_t phiError() const { return phiError_ ;}
|
| 449 |
lethuill |
1.9 |
|
| 450 |
lethuill |
1.4 |
Int_t nbClusters() const { return nbClusters_ ;}
|
| 451 |
|
|
Float_t superClusterRawEnergy() const { return superClusterRawEnergy_ ;}
|
| 452 |
|
|
Float_t preshowerEnergy() const { return preshowerEnergy_ ;}
|
| 453 |
|
|
TVector3 caloPosition() const { return caloPosition_ ;}
|
| 454 |
|
|
map<Int_t,TRef> scRef() const { return scRef_ ;}
|
| 455 |
|
|
Int_t clusterAlgo() const { return clusterAlgo_ ;}
|
| 456 |
|
|
Float_t caloConeSize() const { return caloConeSize_ ;}
|
| 457 |
|
|
Float_t e2x2() const { return e2x2_ ;}
|
| 458 |
|
|
Float_t e3x3() const { return e3x3_ ;}
|
| 459 |
|
|
Float_t e5x5() const { return e5x5_ ;}
|
| 460 |
|
|
Float_t eMax() const { return eMax_ ;}
|
| 461 |
|
|
Float_t isoR01_sumPt() const { return isoR01_sumPt_ ;}
|
| 462 |
|
|
Int_t isoR01_nTracks() const { return isoR01_nTracks_ ;}
|
| 463 |
|
|
Float_t isoR02_sumPt() const { return isoR02_sumPt_ ;}
|
| 464 |
|
|
Int_t isoR02_nTracks() const { return isoR02_nTracks_ ;}
|
| 465 |
|
|
Float_t isoR03_emEt() const { return isoR03_emEt_ ;}
|
| 466 |
|
|
Float_t isoR03_hadEt() const { return isoR03_hadEt_ ;}
|
| 467 |
|
|
Float_t isoR03_sumPt() const { return isoR03_sumPt_ ;}
|
| 468 |
|
|
Int_t isoR03_nTracks() const { return isoR03_nTracks_ ;}
|
| 469 |
|
|
Float_t isoR05_emEt() const { return isoR05_emEt_ ;}
|
| 470 |
|
|
Float_t isoR05_hadEt() const { return isoR05_hadEt_ ;}
|
| 471 |
|
|
Float_t isoR05_sumPt() const { return isoR05_sumPt_ ;}
|
| 472 |
|
|
Int_t isoR05_nTracks() const { return isoR05_nTracks_ ;}
|
| 473 |
lethuill |
1.7 |
Int_t idCutBasedFixedThresholdLoose() const { return idCutBasedFixedThresholdLoose_ ;}
|
| 474 |
|
|
Int_t idCutBasedFixedThresholdTight() const { return idCutBasedFixedThresholdTight_ ;}
|
| 475 |
|
|
Int_t idCutBasedFixedThresholdHighEnergy() const { return idCutBasedFixedThresholdHighEnergy_ ;}
|
| 476 |
|
|
Int_t idCutBasedCategorizedLoose() const { return idCutBasedCategorizedLoose_ ;}
|
| 477 |
|
|
Int_t idCutBasedCategorizedTight() const { return idCutBasedCategorizedTight_ ;}
|
| 478 |
lethuill |
1.4 |
Float_t idLikelihood() const { return idLikelihood_ ;}
|
| 479 |
|
|
Float_t idNeuralNet() const { return idNeuralNet_ ;}
|
| 480 |
|
|
|
| 481 |
lethuill |
1.5 |
virtual TString typeName() const { return "TRootElectron"; }
|
| 482 |
|
|
|
| 483 |
lethuill |
1.4 |
|
| 484 |
|
|
void setClassification(Int_t classification) { classification_ = classification; }
|
| 485 |
|
|
void setCaloEnergy(Float_t caloEnergy) { caloEnergy_ = caloEnergy; }
|
| 486 |
|
|
void setCaloEnergyError(Float_t caloEnergyError) { caloEnergyError_ = caloEnergyError; }
|
| 487 |
|
|
void setTrackMomentum(Float_t trackMomentum) { trackMomentum_ = trackMomentum; }
|
| 488 |
|
|
void setTrackMomentumError(Float_t trackMomentumError) { trackMomentumError_ = trackMomentumError; }
|
| 489 |
|
|
void setHadOverEm(Float_t hadOverEm) { hadOverEm_ = hadOverEm; }
|
| 490 |
|
|
void setDeltaEtaIn(Float_t deltaEtaIn) { deltaEtaIn_ = deltaEtaIn; }
|
| 491 |
|
|
void setDeltaPhiIn(Float_t deltaPhiIn) { deltaPhiIn_ = deltaPhiIn; }
|
| 492 |
|
|
void setEnergySuperClusterOverPin(Float_t energySuperClusterOverPin) { energySuperClusterOverPin_ = energySuperClusterOverPin; }
|
| 493 |
|
|
void setDeltaEtaOut(Float_t deltaEtaOut) { deltaEtaOut_ = deltaEtaOut; }
|
| 494 |
|
|
void setDeltaPhiOut(Float_t deltaPhiOut) { deltaPhiOut_ = deltaPhiOut; }
|
| 495 |
|
|
void setEnergySeedClusterOverPout(Float_t energySeedClusterOverPout) { energySeedClusterOverPout_ = energySeedClusterOverPout; }
|
| 496 |
|
|
void setEnergyScaleCorrected(Bool_t energyScaleCorrected) { energyScaleCorrected_ = energyScaleCorrected; }
|
| 497 |
|
|
void setMomentumCorrected(Bool_t momentumCorrected) { momentumCorrected_ = momentumCorrected; }
|
| 498 |
lethuill |
1.9 |
|
| 499 |
|
|
void setPixelLayersWithMeasurement(Int_t pixelLayersWithMeasurement) { pixelLayersWithMeasurement_ = pixelLayersWithMeasurement; }
|
| 500 |
|
|
void setStripLayersWithMeasurement(Int_t stripLayersWithMeasurement) { stripLayersWithMeasurement_ = stripLayersWithMeasurement; }
|
| 501 |
lethuill |
1.4 |
void setD0(Float_t d0) { d0_ = d0; }
|
| 502 |
|
|
void setD0Error(Float_t d0Error) { d0Error_ = d0Error; }
|
| 503 |
|
|
void setDsz(Float_t dsz) { dsz_ = dsz; }
|
| 504 |
|
|
void setDszError(Float_t dszError) { dszError_ = dszError; }
|
| 505 |
|
|
void setNormalizedChi2(Float_t normalizedChi2) { normalizedChi2_ = normalizedChi2; }
|
| 506 |
|
|
void setPtError(Float_t ptError) { ptError_ = ptError; }
|
| 507 |
|
|
void setEtaError(Float_t etaError) { etaError_ = etaError; }
|
| 508 |
|
|
void setPhiError(Float_t phiError) { phiError_ = phiError; }
|
| 509 |
lethuill |
1.9 |
|
| 510 |
lethuill |
1.4 |
void setNbClusters(Int_t nbClusters) { nbClusters_ = nbClusters; }
|
| 511 |
|
|
void setSuperClusterRawEnergy(Float_t superClusterRawEnergy) { superClusterRawEnergy_ = superClusterRawEnergy; }
|
| 512 |
|
|
void setPreshowerEnergy(Float_t preshowerEnergy) { preshowerEnergy_ = preshowerEnergy; }
|
| 513 |
|
|
void setCaloPosition(TVector3 caloPosition) { caloPosition_ = caloPosition; }
|
| 514 |
|
|
void setCaloPosition(Double_t x, Double_t y, Double_t z) { caloPosition_.SetXYZ(x, y ,z); }
|
| 515 |
|
|
void setSCRef(map<Int_t,TRef> scRef) { scRef_ = scRef; }
|
| 516 |
|
|
void setClusterAlgo(Int_t clusterAlgo) { clusterAlgo_ = clusterAlgo; }
|
| 517 |
|
|
void setCaloConeSize(Float_t caloConeSize) { caloConeSize_ = caloConeSize; }
|
| 518 |
|
|
void setE2x2(Float_t e2x2) { e2x2_ = e2x2; }
|
| 519 |
|
|
void setE3x3(Float_t e3x3) { e3x3_ = e3x3; }
|
| 520 |
|
|
void setE5x5(Float_t e5x5) { e5x5_ = e5x5; }
|
| 521 |
|
|
void setEMax(Float_t eMax) { eMax_ = eMax; }
|
| 522 |
|
|
void setIsoR01_sumPt(Float_t isoR01_sumPt) { isoR01_sumPt_ = isoR01_sumPt; }
|
| 523 |
|
|
void setIsoR01_nTracks(Int_t isoR01_nTracks) { isoR01_nTracks_ = isoR01_nTracks; }
|
| 524 |
|
|
void setIsoR02_sumPt(Float_t isoR02_sumPt) { isoR02_sumPt_ = isoR02_sumPt; }
|
| 525 |
|
|
void setIsoR02_nTracks(Int_t isoR02_nTracks) { isoR02_nTracks_ = isoR02_nTracks; }
|
| 526 |
|
|
void setIsoR03_emEt(Float_t isoR03_emEt) { isoR03_emEt_ = isoR03_emEt; }
|
| 527 |
|
|
void setIsoR03_hadEt(Float_t isoR03_hadEt) { isoR03_hadEt_ = isoR03_hadEt; }
|
| 528 |
|
|
void setIsoR03_sumPt(Float_t isoR03_sumPt) { isoR03_sumPt_ = isoR03_sumPt; }
|
| 529 |
|
|
void setIsoR03_nTracks(Int_t isoR03_nTracks) { isoR03_nTracks_ = isoR03_nTracks; }
|
| 530 |
|
|
void setIsoR05_emEt(Float_t isoR05_emEt) { isoR05_emEt_ = isoR05_emEt; }
|
| 531 |
|
|
void setIsoR05_hadEt(Float_t isoR05_hadEt) { isoR05_hadEt_ = isoR05_hadEt; }
|
| 532 |
|
|
void setIsoR05_sumPt(Float_t isoR05_sumPt) { isoR05_sumPt_ = isoR05_sumPt; }
|
| 533 |
|
|
void setIsoR05_nTracks(Int_t isoR05_nTracks) { isoR05_nTracks_ = isoR05_nTracks; }
|
| 534 |
lethuill |
1.7 |
void setIDCutBasedFixedThresholdLoose(Int_t idCutBasedFixedThresholdLoose) { idCutBasedFixedThresholdLoose_ = idCutBasedFixedThresholdLoose; }
|
| 535 |
|
|
void setIDCutBasedFixedThresholdTight(Int_t idCutBasedFixedThresholdTight) { idCutBasedFixedThresholdTight_ = idCutBasedFixedThresholdTight; }
|
| 536 |
|
|
void setIDCutBasedFixedThresholdHighEnergy(Int_t idCutBasedFixedThresholdHighEnergy) { idCutBasedFixedThresholdHighEnergy_ = idCutBasedFixedThresholdHighEnergy; }
|
| 537 |
|
|
void setIDCutBasedCategorizedLoose(Int_t idCutBasedCategorizedLoose) { idCutBasedCategorizedLoose_ = idCutBasedCategorizedLoose; }
|
| 538 |
|
|
void setIDCutBasedCategorizedTight(Int_t idCutBasedCategorizedTight) { idCutBasedCategorizedTight_ = idCutBasedCategorizedTight; }
|
| 539 |
lethuill |
1.4 |
void setIDLikelihood(Float_t idLikelihood) { idLikelihood_ = idLikelihood; }
|
| 540 |
|
|
void setIDNeuralNet(Float_t idNeuralNet) { idNeuralNet_ = idNeuralNet; }
|
| 541 |
mlethuil |
1.1 |
|
| 542 |
lethuill |
1.4 |
friend std::ostream& operator<< (std::ostream& stream, const TRootElectron& electron) {
|
| 543 |
|
|
stream << "TRootElectron - Charge=" << electron.charge() << " (Et,eta,phi)=("<< electron.Et() <<","<< electron.Eta() <<","<< electron.Phi() << ")"
|
| 544 |
|
|
<< " vertex(x,y,z)=("<< electron.vx() <<","<< electron.vy() <<","<< electron.vz() << ")";
|
| 545 |
|
|
return stream;
|
| 546 |
|
|
};
|
| 547 |
mlethuil |
1.1 |
|
| 548 |
lethuill |
1.4 |
|
| 549 |
lethuill |
1.3 |
private:
|
| 550 |
lethuill |
1.4 |
/*
|
| 551 |
|
|
TODO
|
| 552 |
|
|
if (fabs (eta) <= 1.4442) {
|
| 553 |
|
|
localElectron.setPosition (1);
|
| 554 |
|
|
}
|
| 555 |
|
|
else if (fabs (eta) > 1.4442 & fabs (eta) < 1.5560) {
|
| 556 |
|
|
localElectron.setPosition (0);
|
| 557 |
|
|
}
|
| 558 |
|
|
else if (fabs (eta) >= 1.5560) {
|
| 559 |
|
|
localElectron.setPosition (-1);
|
| 560 |
|
|
}
|
| 561 |
|
|
*/
|
| 562 |
|
|
|
| 563 |
|
|
// Variables from reco::GsfElectron
|
| 564 |
|
|
|
| 565 |
|
|
// Classification:
|
| 566 |
|
|
// barrel : 0: golden, 10: bigbrem, 20: narrow, 30-34: showering,
|
| 567 |
|
|
// (30: showering nbrem=0, 31: showering nbrem=1, 32: showering nbrem=2 ,33: showering nbrem=3, 34: showering nbrem>=4)
|
| 568 |
|
|
// 40: crack
|
| 569 |
|
|
// endcaps : 100: golden, 110: bigbrem, 120: narrow, 130-134: showering
|
| 570 |
|
|
// (130: showering nbrem=0, 131: showering nbrem=1, 132: showering nbrem=2 ,133: showering nbrem=3, 134: showering nbrem>=4)
|
| 571 |
|
|
|
| 572 |
|
|
Int_t classification_; // Electron classification
|
| 573 |
|
|
|
| 574 |
|
|
Float_t caloEnergy_; // SuperCluster energy corrected by EnergyScaleFactor
|
| 575 |
|
|
Float_t caloEnergyError_; // Error on caloEnergy_
|
| 576 |
|
|
Float_t trackMomentum_; // Track momentum at vertex
|
| 577 |
|
|
Float_t trackMomentumError_; // Error on trackMomentum_
|
| 578 |
|
|
|
| 579 |
|
|
Float_t hadOverEm_; // hadronic over electromagnetic fraction
|
| 580 |
|
|
|
| 581 |
|
|
Float_t deltaEtaIn_; // Supercluster eta - Track eta from helix extrapolation from impact point
|
| 582 |
|
|
Float_t deltaPhiIn_; // Supercluster phi - Track phi from helix extrapolation from impact point
|
| 583 |
|
|
Float_t energySuperClusterOverPin_; // supercluster energy / track momentum at impact point
|
| 584 |
|
|
|
| 585 |
|
|
Float_t deltaEtaOut_; // SeedCluster eta - Track eta at calo from outermost state
|
| 586 |
|
|
Float_t deltaPhiOut_; // SeedCluster phi - Track phi at calo from outermost state
|
| 587 |
|
|
Float_t energySeedClusterOverPout_; // SeedCluster energy / track momentum at calo from outermost state
|
| 588 |
|
|
|
| 589 |
|
|
Bool_t energyScaleCorrected_; // Has Energy Scale been applied ?
|
| 590 |
|
|
Bool_t momentumCorrected_; // Tell if class dependant E-p combination has been determined
|
| 591 |
|
|
|
| 592 |
|
|
|
| 593 |
|
|
// Variables from reco::GsfTrack
|
| 594 |
|
|
|
| 595 |
|
|
/* cf: http://cmslxr.fnal.gov/lxr/source/DataFormats/TrackReco/interface/TrackBase.h
|
| 596 |
|
|
For tracks reconstructed in the CMS Tracker, the reference position is the point of closest approach to the centre
|
| 597 |
|
|
of CMS. For muons, this is not necessarily true. Parameters associated to the 5D curvilinear covariance matrix:
|
| 598 |
|
|
qoverp = q / abs(p) = signed inverse of momentum [1/GeV]
|
| 599 |
|
|
lambda = pi/2 - polar angle at the given point
|
| 600 |
|
|
phi = azimuth angle at the given point
|
| 601 |
|
|
dxy = -vx*sin(phi) + vy*cos(phi) [cm]
|
| 602 |
|
|
dsz = vz*cos(lambda) - (vx*cos(phi)+vy*sin(phi))*sin(lambda) [cm]
|
| 603 |
|
|
|
| 604 |
|
|
Geometrically, dxy is the signed distance in the XY plane between the straight line passing through (vx,vy) with
|
| 605 |
|
|
azimuthal angle phi and the point (0,0). The dsz parameter is the signed distance in the SZ plane between the straight
|
| 606 |
|
|
line passing through (vx,vy,vz) with angles (phi, lambda) and the point (s=0,z=0). The S axis is defined by the projection
|
| 607 |
|
|
of the straight line onto the XY plane. The convention is to assign the S coordinate for (vx,vy) as the value
|
| 608 |
|
|
vx*cos(phi)+vy*sin(phi). This value is zero when (vx,vy) is the point of minimum transverse distance to (0,0).
|
| 609 |
|
|
|
| 610 |
|
|
Note that dxy and dsz provide sensible estimates of the distance from the true particle trajectory to (0,0,0) ONLY
|
| 611 |
|
|
in two cases:
|
| 612 |
|
|
- When (vx,vy,vz) already correspond to the point of minimum transverse distance to (0,0,0) or is close to it
|
| 613 |
|
|
(so that the differences between considering the exact trajectory or a straight line in this range are negligible).
|
| 614 |
|
|
This is usually true for Tracker tracks.
|
| 615 |
|
|
- When the track has infinite or extremely high momentum */
|
| 616 |
|
|
|
| 617 |
lethuill |
1.9 |
Int_t pixelLayersWithMeasurement_; // Number of pixel layers with at least one valid hit
|
| 618 |
|
|
Int_t stripLayersWithMeasurement_; // Number of strip layers with at least one valid hit
|
| 619 |
|
|
|
| 620 |
lethuill |
1.4 |
Float_t d0_; // d0=-dxy
|
| 621 |
|
|
Float_t d0Error_; // error on d0_
|
| 622 |
|
|
Float_t dsz_; // dsz parameter
|
| 623 |
|
|
Float_t dszError_; // error on dsz_
|
| 624 |
|
|
Float_t normalizedChi2_; // chi-squared divided by n.d.o.f. of track fit
|
| 625 |
|
|
|
| 626 |
|
|
Float_t ptError_; // needed ? ptError()
|
| 627 |
|
|
Float_t etaError_; // needed ? etaError()
|
| 628 |
|
|
Float_t phiError_; // needed ? phiError()
|
| 629 |
|
|
|
| 630 |
|
|
|
| 631 |
|
|
// Variables from reco::SuperCluster
|
| 632 |
|
|
Int_t nbClusters_; // Number of related brem clusters
|
| 633 |
|
|
Float_t superClusterRawEnergy_;
|
| 634 |
|
|
Float_t preshowerEnergy_;
|
| 635 |
|
|
TVector3 caloPosition_; // SuperCluster centroid position
|
| 636 |
|
|
map<Int_t,TRef> scRef_; // references to the seed SuperClusters (one per SC tytpe)
|
| 637 |
|
|
|
| 638 |
|
|
|
| 639 |
|
|
// Cluster Shape variables
|
| 640 |
|
|
// need reco::SuperCluster and reco::BasicCluster
|
| 641 |
|
|
Int_t clusterAlgo_; // reco::BasicCluster::algo() island = 0, hybrid = 1, fixedMatrix = 2, dynamicHybrid = 3, multi5x5 = 4
|
| 642 |
|
|
Float_t caloConeSize_; // Delta_R of the cone centered on the reco::GsfElectron and containing all its basic clusters constituents
|
| 643 |
|
|
// need reco::SuperCluster and reco::BasicCluster and reduced Ecal RecHits Collections for EcalClusterLazyTools
|
| 644 |
|
|
Float_t e2x2_;
|
| 645 |
|
|
Float_t e3x3_;
|
| 646 |
|
|
Float_t e5x5_;
|
| 647 |
|
|
Float_t eMax_;
|
| 648 |
|
|
|
| 649 |
|
|
|
| 650 |
|
|
// pat::Electron Isolation
|
| 651 |
|
|
Float_t isoR01_sumPt_;
|
| 652 |
|
|
Int_t isoR01_nTracks_;
|
| 653 |
|
|
|
| 654 |
|
|
Float_t isoR02_sumPt_;
|
| 655 |
|
|
Int_t isoR02_nTracks_;
|
| 656 |
|
|
|
| 657 |
|
|
Float_t isoR03_emEt_;
|
| 658 |
|
|
Float_t isoR03_hadEt_;
|
| 659 |
|
|
Float_t isoR03_sumPt_;
|
| 660 |
|
|
Int_t isoR03_nTracks_;
|
| 661 |
|
|
|
| 662 |
|
|
Float_t isoR05_emEt_;
|
| 663 |
|
|
Float_t isoR05_hadEt_;
|
| 664 |
|
|
Float_t isoR05_sumPt_; // Pt sum of tracks in a DR=0.5 cone around the electron
|
| 665 |
|
|
Int_t isoR05_nTracks_; // Tracks multiplicity in a DR=0.5 cone around the electron
|
| 666 |
|
|
|
| 667 |
|
|
|
| 668 |
|
|
// pat::Electron ID (cf https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideElectronID)
|
| 669 |
lethuill |
1.7 |
// By default in 2.2.X, only cut based identification is available in pat (https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideCutBasedElectronID
|
| 670 |
|
|
Int_t idCutBasedFixedThresholdLoose_; // Simple cut based ID (aka 'robust') - Loose Thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta
|
| 671 |
|
|
Int_t idCutBasedFixedThresholdTight_; // Simple cut based ID (default in EWK group) - Tight Thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta
|
| 672 |
|
|
Int_t idCutBasedFixedThresholdHighEnergy_; // Simple cut based ID - Thresholds optimized for high energy electron (~TeV)
|
| 673 |
|
|
Int_t idCutBasedCategorizedLoose_; // Category based ID - Different loose thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta, eSeedOverPin for differents regions in the E/p vs fBrem plane
|
| 674 |
|
|
Int_t idCutBasedCategorizedTight_; // Category based ID - Different tight thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta, eSeedOverPin for differents regions in the E/p vs fBrem plane
|
| 675 |
|
|
Float_t idLikelihood_; // Lieklihood ID - not activated by default in 2.2.X
|
| 676 |
|
|
Float_t idNeuralNet_; // NN ID - not activated by default in 2.2.X
|
| 677 |
lethuill |
1.4 |
|
| 678 |
lethuill |
1.7 |
|
| 679 |
lethuill |
1.4 |
// Matched genParticle
|
| 680 |
|
|
TLorentzVector momentumMCElectron_;
|
| 681 |
|
|
TVector3 vertexMCElectron_;
|
| 682 |
|
|
Int_t pdgIdMCElectron_;
|
| 683 |
|
|
|
| 684 |
|
|
// needed ?
|
| 685 |
|
|
//Float_t sigmaEtaEta_;
|
| 686 |
|
|
//Float_t sigmaPhiPhi_;
|
| 687 |
lethuill |
1.3 |
|
| 688 |
mlethuil |
1.1 |
|
| 689 |
lethuill |
1.9 |
ClassDef (TRootElectron,3);
|
| 690 |
mlethuil |
1.1 |
};
|
| 691 |
|
|
|
| 692 |
|
|
#endif
|
