#include <PFClusterEMEnergyCorrector.h>

Public Member Functions
void	correctEnergies (const edm::Event &evt, const edm::EventSetup &es, const reco::PFCluster::EEtoPSAssociation &assoc, reco::PFClusterCollection &cs)

PFClusterEMEnergyCorrector &	operator= (const PFClusterEMEnergyCorrector &)=delete

	PFClusterEMEnergyCorrector (const edm::ParameterSet &conf, edm::ConsumesCollector &&cc)

	PFClusterEMEnergyCorrector (const PFClusterEMEnergyCorrector &)=delete

Private Attributes
bool	_applyCrackCorrections

bool	_applyMVACorrections

std::unique_ptr < PFEnergyCalibration >	_calibrator

std::vector< std::string >	_condnames_mean_25ns

std::vector< std::string >	_condnames_mean_50ns

std::vector< std::string >	_condnames_sigma_25ns

std::vector< std::string >	_condnames_sigma_50ns

double	_maxPtForMVAEvaluation

edm::EDGetTokenT < EcalRecHitCollection >	_recHitsEB

edm::EDGetTokenT < EcalRecHitCollection >	_recHitsEE

bool	autoDetectBunchSpacing_

edm::EDGetTokenT< unsigned int >	bunchSpacing_

int	bunchSpacingManual_

Detailed Description

Definition at line 17 of file PFClusterEMEnergyCorrector.h.

Constructor & Destructor Documentation

PFClusterEMEnergyCorrector::PFClusterEMEnergyCorrector	(	const edm::ParameterSet &	conf,
		edm::ConsumesCollector &&	cc
	)

Definition at line 16 of file PFClusterEMEnergyCorrector.cc.

References _applyCrackCorrections, _applyMVACorrections, _condnames_mean_25ns, _condnames_mean_50ns, _condnames_sigma_25ns, _condnames_sigma_50ns, _maxPtForMVAEvaluation, _recHitsEB, _recHitsEE, autoDetectBunchSpacing_, bunchSpacing_, bunchSpacingManual_, edm::ParameterSet::getParameter(), and HLT_25ns10e33_v2_cff::InputTag.

                                                                                                              :
   _calibrator(new PFEnergyCalibration) {
 
    _applyCrackCorrections = conf.getParameter<bool>("applyCrackCorrections");
    _applyMVACorrections = conf.getParameter<bool>("applyMVACorrections");
    _maxPtForMVAEvaluation = conf.getParameter<double>("maxPtForMVAEvaluation");
   
    
   if (_applyMVACorrections) {
     _recHitsEB = cc.consumes<EcalRecHitCollection>(conf.getParameter<edm::InputTag>("recHitsEBLabel"));
     _recHitsEE = cc.consumes<EcalRecHitCollection>(conf.getParameter<edm::InputTag>("recHitsEELabel"));
     
     autoDetectBunchSpacing_ = conf.getParameter<bool>("autoDetectBunchSpacing");
 
     if (autoDetectBunchSpacing_) {
       bunchSpacing_ = cc.consumes<unsigned int>(edm::InputTag("bunchSpacingProducer"));
       bunchSpacingManual_ = 0;
     }
     else {
       bunchSpacingManual_ = conf.getParameter<int>("bunchSpacing");
     }
     
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EB_pfSize1_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EB_pfSize2_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin1_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin2_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin3_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EE_pfSize1_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EE_pfSize2_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin1_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin2_mean_50ns");
     _condnames_mean_50ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin3_mean_50ns");
     
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EB_pfSize1_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EB_pfSize2_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin1_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin2_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin3_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EE_pfSize1_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EE_pfSize2_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin1_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin2_sigma_50ns");
     _condnames_sigma_50ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin3_sigma_50ns");
     
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EB_pfSize1_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EB_pfSize2_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin1_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin2_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin3_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EE_pfSize1_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EE_pfSize2_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin1_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin2_mean_25ns");
     _condnames_mean_25ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin3_mean_25ns");
     
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EB_pfSize1_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EB_pfSize2_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin1_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin2_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EB_pfSize3_ptbin3_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EE_pfSize1_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EE_pfSize2_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin1_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin2_sigma_25ns");
     _condnames_sigma_25ns.push_back("ecalPFClusterCorV2_EE_pfSize3_ptbin3_sigma_25ns");
   }
   
 
   
 }

PFClusterEMEnergyCorrector::PFClusterEMEnergyCorrector ( const PFClusterEMEnergyCorrector & )

delete

Member Function Documentation

void PFClusterEMEnergyCorrector::correctEnergies	(	const edm::Event &	evt,
		const edm::EventSetup &	es,
		const reco::PFCluster::EEtoPSAssociation &	assoc,
		reco::PFClusterCollection &	cs
	)

Definition at line 88 of file PFClusterEMEnergyCorrector.cc.

References _applyCrackCorrections, _applyMVACorrections, _calibrator, _condnames_mean_25ns, _condnames_mean_50ns, _condnames_sigma_25ns, _condnames_sigma_50ns, _maxPtForMVAEvaluation, _recHitsEB, _recHitsEE, autoDetectBunchSpacing_, bunchSpacing_, bunchSpacingManual_, alignCSCRings::e, PFLayer::ECAL_BARREL, reco::PFCluster::energy(), create_public_lumi_plots::exp, edm::EventSetup::get(), edm::Event::getByToken(), GBRForestD::GetResponse(), customizeTrackingMonitorSeedNumber::idx, EBDetId::ieta(), EEDetId::ix(), reco::PFCluster::layer(), timingPdfMaker::mean, min(), PFLayer::PS1, PFLayer::PS2, EnergyCorrector::pt, reco::PFCluster::pt(), reco::CaloCluster::seed(), reco::CaloCluster::setCorrectedEnergy(), reco::CaloCluster::setCorrectedEnergyUncertainty(), and findQualityFiles::size.

                                                                                                                                                                        {
 
   //legacy corrections
   if (!_applyMVACorrections) {
     for (unsigned int idx = 0; idx<cs.size(); ++idx) {
       reco::PFCluster &cluster = cs[idx];
       bool iseb = cluster.layer() == PFLayer::ECAL_BARREL;
       
       //compute preshower energies for endcap clusters
       double ePS1=0, ePS2=0;
       if(!iseb) {
         auto ee_key_val = std::make_pair(idx,edm::Ptr<reco::PFCluster>());
         const auto clustops = std::equal_range(assoc.begin(),
                                               assoc.end(),
                                               ee_key_val,
                                               sortByKey);
         for( auto i_ps = clustops.first; i_ps != clustops.second; ++i_ps) {
           edm::Ptr<reco::PFCluster> psclus(i_ps->second);
           switch( psclus->layer() ) {
           case PFLayer::PS1:
             ePS1 += psclus->energy();
             break;
           case PFLayer::PS2:
             ePS2 += psclus->energy();
             break;
           default:
             break;
           }
         }
       }
       
       double correctedEnergy = _calibrator->energyEm(cluster,ePS1,ePS2,_applyCrackCorrections);
       cluster.setCorrectedEnergy(correctedEnergy);
       
     }
     return;
   }
   
   int bunchspacing = 450;  
   
   if (autoDetectBunchSpacing_) {
       edm::Handle<unsigned int> bunchSpacingH;
       evt.getByToken(bunchSpacing_,bunchSpacingH);
       bunchspacing = *bunchSpacingH;
   }
   else {
     bunchspacing = bunchSpacingManual_;
   }
   
   const std::vector<std::string> condnames_mean = (bunchspacing == 25) ? _condnames_mean_25ns : _condnames_mean_50ns;
   const std::vector<std::string> condnames_sigma = (bunchspacing == 25) ? _condnames_sigma_25ns : _condnames_sigma_50ns;
   
   const unsigned int ncor = condnames_mean.size();
   
   std::vector<edm::ESHandle<GBRForestD> > forestH_mean(ncor);
   std::vector<edm::ESHandle<GBRForestD> > forestH_sigma(ncor);  
   
   for (unsigned int icor=0; icor<ncor; ++icor) {
     es.get<GBRDWrapperRcd>().get(condnames_mean[icor],forestH_mean[icor]);
     es.get<GBRDWrapperRcd>().get(condnames_sigma[icor],forestH_sigma[icor]);
   }
   
   std::array<float,5> eval;
     
   EcalClusterLazyTools lazyTool(evt, es, _recHitsEB, _recHitsEE);
   
   //magic numbers for MINUIT-like transformation of BDT output onto limited range
   //(These should be stored inside the conditions object in the future as well)
   const double meanlimlow = -0.336;
   const double meanlimhigh = 0.916;
   const double meanoffset = meanlimlow + 0.5*(meanlimhigh-meanlimlow);
   const double meanscale = 0.5*(meanlimhigh-meanlimlow);
   
   const double sigmalimlow = 0.001;
   const double sigmalimhigh = 0.4;
   const double sigmaoffset = sigmalimlow + 0.5*(sigmalimhigh-sigmalimlow);
   const double sigmascale = 0.5*(sigmalimhigh-sigmalimlow);  
   
   for (unsigned int idx = 0; idx<cs.size(); ++idx) {
     
     reco::PFCluster &cluster = cs[idx];
     
     double e = cluster.energy();
     double pt = cluster.pt(); 
     
     //limit raw energy value used to evaluate corrections
     //to avoid bad extrapolation
     double evale = e;
     if (_maxPtForMVAEvaluation>0. && pt>_maxPtForMVAEvaluation) {
       evale *= _maxPtForMVAEvaluation/pt; 
     }
     
     double invE = (e == 0.) ? 0. : 1./e; //guard against dividing by 0.
     
     int size = lazyTool.n5x5(cluster);
     
     bool iseb = cluster.layer() == PFLayer::ECAL_BARREL;
 
     //find index of corrections (0-4 for EB, 5-9 for EE, depending on cluster size and raw pt)
     int coridx = std::min(size,3)-1;
     if (coridx==2) {
       if (pt>4.5) {
         coridx += 1;
       }
       if (pt>18.) {
         coridx += 1;
       }
     }
     if (!iseb) {
       coridx += 5;
     }
     
     const GBRForestD &meanforest = *forestH_mean[coridx].product();
     const GBRForestD &sigmaforest = *forestH_sigma[coridx].product();
     
     //find seed crystal indices
     int ietaix=0;
     int iphiiy=0;
     if (iseb) {
       EBDetId ebseed(cluster.seed());
       ietaix = ebseed.ieta();
       iphiiy = ebseed.iphi();
     }
     else {
       EEDetId eeseed(cluster.seed());
       ietaix = eeseed.ix();
       iphiiy = eeseed.iy();      
     }
 
     
     //compute preshower energies for endcap clusters
     double ePS1=0, ePS2=0;
     if(!iseb) {
       auto ee_key_val = std::make_pair(idx,edm::Ptr<reco::PFCluster>());
       const auto clustops = std::equal_range(assoc.begin(),
                                             assoc.end(),
                                             ee_key_val,
                                             sortByKey);
       for( auto i_ps = clustops.first; i_ps != clustops.second; ++i_ps) {
         edm::Ptr<reco::PFCluster> psclus(i_ps->second);
         switch( psclus->layer() ) {
         case PFLayer::PS1:
           ePS1 += psclus->energy();
           break;
         case PFLayer::PS2:
           ePS2 += psclus->energy();
           break;
         default:
           break;
         }
       }
     }
     
     //fill array for forest evaluation
     eval[0] = evale;
     eval[1] = ietaix;
     eval[2] = iphiiy;
     if (!iseb) {
       eval[3] = ePS1*invE;
       eval[4] = ePS2*invE;
     }
         
     //these are the actual BDT responses
     double rawmean = meanforest.GetResponse(eval.data());
     double rawsigma = sigmaforest.GetResponse(eval.data());
     
     //apply transformation to limited output range (matching the training)
     double mean = meanoffset + meanscale*vdt::fast_sin(rawmean);
     double sigma = sigmaoffset + sigmascale*vdt::fast_sin(rawsigma);
     
     //regression target is ln(Etrue/Eraw)
     //so corrected energy is ecor=exp(mean)*e, uncertainty is exp(mean)*eraw*sigma=ecor*sigma
     double ecor = exp(mean)*e;
     double sigmacor = sigma*ecor;
     
     cluster.setCorrectedEnergy(ecor);
     cluster.setCorrectedEnergyUncertainty(sigmacor);
     
   }
   
 }