#include <SCEnergyCorrectorSemiParm.h>

Public Member Functions
void	modifyObject (reco::SuperCluster &sc)

	SCEnergyCorrectorSemiParm ()

void	setEvent (const edm::Event &e)

void	setEventSetup (const edm::EventSetup &es)

void	setTokens (const edm::ParameterSet &iConfig, edm::ConsumesCollector &cc)

	~SCEnergyCorrectorSemiParm ()

Protected Attributes
edm::ESHandle< CaloGeometry >	calogeom_

edm::ESHandle< CaloTopology >	calotopo_

edm::InputTag	ecalHitsEBInputTag_

edm::InputTag	ecalHitsEEInputTag_

const GBRForestD *	foresteb_

const GBRForestD *	forestee_

const GBRForestD *	forestsigmaeb_

const GBRForestD *	forestsigmaee_

edm::Handle< EcalRecHitCollection >	rechitsEB_

edm::Handle< EcalRecHitCollection >	rechitsEE_

std::string	regressionKeyEB_

std::string	regressionKeyEE_

edm::EDGetTokenT < EcalRecHitCollection >	tokenEBRecHits_

edm::EDGetTokenT < EcalRecHitCollection >	tokenEERecHits_

edm::EDGetTokenT < reco::VertexCollection >	tokenVertices_

std::string	uncertaintyKeyEB_

std::string	uncertaintyKeyEE_

edm::InputTag	vertexInputTag_

edm::Handle < reco::VertexCollection >	vertices_

Private Attributes
float	eThreshold_

bool	isHLT_

int	nHitsAboveThreshold_

Detailed Description

Definition at line 30 of file SCEnergyCorrectorSemiParm.h.

Constructor & Destructor Documentation

SCEnergyCorrectorSemiParm::SCEnergyCorrectorSemiParm ( )

Definition at line 16 of file SCEnergyCorrectorSemiParm.cc.

                                                      :
 foresteb_(0),
 forestee_(0),
 forestsigmaeb_(0),
 forestsigmaee_(0),
 calotopo_(0),
 calogeom_(0)
 {}

SCEnergyCorrectorSemiParm::~SCEnergyCorrectorSemiParm ( )

Definition at line 26 of file SCEnergyCorrectorSemiParm.cc.

27 {}

Member Function Documentation

void SCEnergyCorrectorSemiParm::modifyObject ( reco::SuperCluster & sc )

Definition at line 96 of file SCEnergyCorrectorSemiParm.cc.

References calotopo_, reco::SuperCluster::clusters(), reco::SuperCluster::clustersBegin(), reco::SuperCluster::clustersEnd(), constexpr, reco::deltaPhi(), reco::deltaR(), EcalBarrel, reco::CaloCluster::energy(), reco::CaloCluster::eta(), reco::SuperCluster::etaWidth(), foresteb_, forestee_, forestsigmaeb_, forestsigmaee_, GBRForestD::GetResponse(), reco::CaloCluster::hitsAndFractions(), EBDetId::ieta(), isHLT_, edm::isNotFinite(), EEDetId::ix(), bookConverter::max, timingPdfMaker::mean, nHitsAboveThreshold_, reco::SuperCluster::phiWidth(), reco::SuperCluster::preshowerEnergy(), edm::ESHandle< class >::product(), reco::SuperCluster::rawEnergy(), HLT_25ns10e33_v2_cff::recHits, rechitsEB_, rechitsEE_, reco::SuperCluster::seed(), reco::CaloCluster::seed(), reco::CaloCluster::setCorrectedEnergy(), reco::CaloCluster::setCorrectedEnergyUncertainty(), reco::CaloCluster::setEnergy(), edm::PtrVectorBase::size(), mathSSE::sqrt(), and vertices_.

                                                                  {
   
   const reco::CaloCluster &seedCluster = *(sc.seed());
   const bool iseb = seedCluster.hitsAndFractions()[0].first.subdetId() == EcalBarrel;
   const EcalRecHitCollection *recHits = iseb ? rechitsEB_.product() : rechitsEE_.product();
 
   const CaloTopology *topo = calotopo_.product();
   
   const double raw_energy = sc.rawEnergy();   
   const int numberOfClusters =  sc.clusters().size();
 
   std::vector<float> localCovariances = EcalClusterTools::localCovariances(seedCluster,recHits,topo) ;
   
   if (not isHLT_) {
     std::array<float, 29> eval;  
     
     const float eLeft = EcalClusterTools::eLeft(seedCluster,recHits,topo);
     const float eRight = EcalClusterTools::eRight(seedCluster,recHits,topo);
     const float eTop = EcalClusterTools::eTop(seedCluster,recHits,topo);
     const float eBottom = EcalClusterTools::eBottom(seedCluster,recHits,topo);
     
     float sigmaIetaIeta = sqrt(localCovariances[0]);
     float sigmaIetaIphi = std::numeric_limits<float>::max();
     float sigmaIphiIphi = std::numeric_limits<float>::max();
     
     // extra shower shapes
     const float see_by_spp = sigmaIetaIeta*sigmaIphiIphi;
     if(  see_by_spp > 0 ) {
       sigmaIetaIphi = localCovariances[1] / see_by_spp;
     } else if ( localCovariances[1] > 0 ) {
       sigmaIetaIphi = 1.f;
     } else {
       sigmaIetaIphi = -1.f;
     }
     
     if (!edm::isNotFinite(localCovariances[2])) sigmaIphiIphi = sqrt(localCovariances[2]) ;
     
     // calculate sub-cluster variables
     std::vector<float> clusterRawEnergy;
     clusterRawEnergy.resize(std::max(3, numberOfClusters), 0);
     std::vector<float> clusterDEtaToSeed;
     clusterDEtaToSeed.resize(std::max(3, numberOfClusters), 0);
     std::vector<float> clusterDPhiToSeed;
     clusterDPhiToSeed.resize(std::max(3, numberOfClusters), 0);
     float clusterMaxDR     = 999.;
     float clusterMaxDRDPhi = 999.;
     float clusterMaxDRDEta = 999.;
     float clusterMaxDRRawEnergy = 0.;
     
     size_t iclus = 0;
     float maxDR = 0;
     edm::Ptr<reco::CaloCluster> pclus;
     const edm::Ptr<reco::CaloCluster>& theseed = sc.seed();
     // loop over all clusters that aren't the seed  
     auto clusend = sc.clustersEnd();
     for( auto clus = sc.clustersBegin(); clus != clusend; ++clus ) {
       pclus = *clus;
       
       if(theseed == pclus ) 
     continue;
       clusterRawEnergy[iclus]  = pclus->energy();
       clusterDPhiToSeed[iclus] = reco::deltaPhi(pclus->phi(),theseed->phi());
       clusterDEtaToSeed[iclus] = pclus->eta() - theseed->eta();
       
       // find cluster with max dR
       const auto the_dr = reco::deltaR(*pclus, *theseed);
       if(the_dr > maxDR) {
     maxDR = the_dr;
     clusterMaxDR = maxDR;
     clusterMaxDRDPhi = clusterDPhiToSeed[iclus];
     clusterMaxDRDEta = clusterDEtaToSeed[iclus];
     clusterMaxDRRawEnergy = clusterRawEnergy[iclus];
       }      
       ++iclus;
     }  
     
     // SET INPUTS
     eval[0]  = vertices_->size();
     eval[1]  = raw_energy;
     eval[2]  = sc.etaWidth();
     eval[3]  = sc.phiWidth();
     eval[4]  = EcalClusterTools::e3x3(seedCluster,recHits,topo)/raw_energy; 
     eval[5]  = seedCluster.energy()/raw_energy;
     eval[6]  = EcalClusterTools::eMax(seedCluster,recHits)/raw_energy;
     eval[7]  = EcalClusterTools::e2nd(seedCluster,recHits)/raw_energy;
     eval[8] = (eLeft + eRight != 0.f  ? (eLeft-eRight)/(eLeft+eRight) : 0.f);
     eval[9] = (eTop  + eBottom != 0.f ? (eTop-eBottom)/(eTop+eBottom) : 0.f);
     eval[10] = sigmaIetaIeta;
     eval[11] = sigmaIetaIphi;
     eval[12] = sigmaIphiIphi;
     eval[13] = std::max(0,numberOfClusters-1);
     eval[14] = clusterMaxDR;
     eval[15] = clusterMaxDRDPhi;
     eval[16] = clusterMaxDRDEta;
     eval[17] = clusterMaxDRRawEnergy/raw_energy;
     eval[18] = clusterRawEnergy[0]/raw_energy;
     eval[19] = clusterRawEnergy[1]/raw_energy;
     eval[20] = clusterRawEnergy[2]/raw_energy;
     eval[21] = clusterDPhiToSeed[0];
     eval[22] = clusterDPhiToSeed[1];
     eval[23] = clusterDPhiToSeed[2];
     eval[24] = clusterDEtaToSeed[0];
     eval[25] = clusterDEtaToSeed[1];
     eval[26] = clusterDEtaToSeed[2];
     if (iseb) {
       EBDetId ebseedid(seedCluster.seed());
       eval[27] = ebseedid.ieta();
       eval[28] = ebseedid.iphi();
     } else {
       EEDetId eeseedid(seedCluster.seed());
       eval[27] = eeseedid.ix();
       eval[28] = eeseedid.iy();
     }  
     
     //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)
     constexpr double meanlimlow  = 0.2;
     constexpr double meanlimhigh = 2.0;
     constexpr double meanoffset  = meanlimlow + 0.5*(meanlimhigh-meanlimlow);
     constexpr double meanscale   = 0.5*(meanlimhigh-meanlimlow);
     
     constexpr double sigmalimlow  = 0.0002;
     constexpr double sigmalimhigh = 0.5;
     constexpr double sigmaoffset  = sigmalimlow + 0.5*(sigmalimhigh-sigmalimlow);
     constexpr double sigmascale   = 0.5*(sigmalimhigh-sigmalimlow);  
     
     const GBRForestD *forestmean = iseb ? foresteb_ : forestee_;
     const GBRForestD *forestsigma = iseb ? forestsigmaeb_ : forestsigmaee_;
     
     //these are the actual BDT responses
     double rawmean = forestmean->GetResponse(eval.data());
     double rawsigma = forestsigma->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);
     
     double ecor = mean*(eval[1]);
     const double sigmacor = sigma*ecor;
     
     sc.setEnergy(ecor);
     sc.setCorrectedEnergy(ecor);
     sc.setCorrectedEnergyUncertainty(sigmacor);
   } else {
 
     std::array<float, 7> eval;  
     float clusterMaxDR = 999.;
 
     size_t iclus = 0;
     float maxDR = 0;
     edm::Ptr<reco::CaloCluster> pclus;
     const edm::Ptr<reco::CaloCluster>& theseed = sc.seed();
 
     // loop over all clusters that aren't the seed  
     auto clusend = sc.clustersEnd();
     for( auto clus = sc.clustersBegin(); clus != clusend; ++clus ) {
       pclus = *clus;
       
       if(theseed == pclus ) 
     continue;
       
       // find cluster with max dR
       const auto the_dr = reco::deltaR(*pclus, *theseed);
       if(the_dr > maxDR) {
     maxDR = the_dr;
     clusterMaxDR = maxDR;
       }      
       ++iclus;
     }  
     
     // SET INPUTS
     eval[0] = nHitsAboveThreshold_;
     eval[1] = sc.eta(); 
     eval[2] = sc.phiWidth(); 
     eval[3] = EcalClusterTools::e3x3(seedCluster,recHits,topo)/raw_energy;
     eval[4] = std::max(0,numberOfClusters-1);
     eval[5] = clusterMaxDR;
     eval[6] = raw_energy;
     
     //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)
     constexpr double meanlimlow  = 0.2;
     constexpr double meanlimhigh = 2.0;
     constexpr double meanoffset  = meanlimlow + 0.5*(meanlimhigh-meanlimlow);
     constexpr double meanscale   = 0.5*(meanlimhigh-meanlimlow);
     
     const GBRForestD *forestmean = iseb ? foresteb_ : forestee_;
 
     double rawmean = forestmean->GetResponse(eval.data());
     double mean = meanoffset + meanscale*vdt::fast_sin(rawmean);
 
     double ecor = mean*eval[6];
     if (!iseb)  
       ecor = mean*eval[6]+sc.preshowerEnergy();
    
     sc.setEnergy(ecor);
     sc.setCorrectedEnergy(ecor);
   }  
 }

void SCEnergyCorrectorSemiParm::setEvent ( const edm::Event & e )

Definition at line 71 of file SCEnergyCorrectorSemiParm.cc.

References edm::SortedCollection< T, SORT >::begin(), edm::SortedCollection< T, SORT >::end(), eThreshold_, edm::Event::getByToken(), isHLT_, nHitsAboveThreshold_, rechitsEB_, rechitsEE_, tokenEBRecHits_, tokenEERecHits_, tokenVertices_, and vertices_.

                                                           {
   
   e.getByToken(tokenEBRecHits_,rechitsEB_);
   e.getByToken(tokenEERecHits_,rechitsEE_);
 
   if (not isHLT_)
     e.getByToken(tokenVertices_,vertices_);
   else {
     nHitsAboveThreshold_ = 0;
     const EcalRecHitCollection *recHitsEB = rechitsEB_.product();
     const EcalRecHitCollection *recHitsEE = rechitsEE_.product();
     
     for (EcalRecHitCollection::const_iterator it=recHitsEB->begin(); it!=recHitsEB->end(); ++it) {
       if (it->energy() > eThreshold_)
         nHitsAboveThreshold_++;
     }
     
     for (EcalRecHitCollection::const_iterator it=recHitsEE->begin(); it!=recHitsEE->end(); ++it) {
       if (it->energy() > eThreshold_)
     nHitsAboveThreshold_++;
     }
   }
 }

void SCEnergyCorrectorSemiParm::setEventSetup ( const edm::EventSetup & es )

Definition at line 49 of file SCEnergyCorrectorSemiParm.cc.

References calogeom_, calotopo_, foresteb_, forestee_, forestsigmaeb_, forestsigmaee_, edm::EventSetup::get(), edm::ESHandle< class >::product(), regressionKeyEB_, regressionKeyEE_, uncertaintyKeyEB_, and uncertaintyKeyEE_.

                                                                      {
 
   es.get<CaloTopologyRecord>().get(calotopo_);
   es.get<CaloGeometryRecord>().get(calogeom_);
 
   edm::ESHandle<GBRForestD> readereb;
   edm::ESHandle<GBRForestD> readerebvar;
   edm::ESHandle<GBRForestD> readeree;
   edm::ESHandle<GBRForestD> readereevar;
     
   es.get<GBRDWrapperRcd>().get(regressionKeyEB_,  readereb);
   es.get<GBRDWrapperRcd>().get(uncertaintyKeyEB_, readerebvar);
   es.get<GBRDWrapperRcd>().get(regressionKeyEE_,  readeree);
   es.get<GBRDWrapperRcd>().get(uncertaintyKeyEE_, readereevar);
 
   foresteb_      = readereb.product();
   forestsigmaeb_ = readerebvar.product();
   forestee_      = readeree.product();
   forestsigmaee_ = readereevar.product();
 }

void SCEnergyCorrectorSemiParm::setTokens	(	const edm::ParameterSet &	iConfig,
		edm::ConsumesCollector &	cc
	)

Definition at line 30 of file SCEnergyCorrectorSemiParm.cc.

References edm::ConsumesCollector::consumes(), eThreshold_, edm::ParameterSet::getParameter(), isHLT_, regressionKeyEB_, regressionKeyEE_, AlCaHLTBitMon_QueryRunRegistry::string, tokenEBRecHits_, tokenEERecHits_, tokenVertices_, uncertaintyKeyEB_, and uncertaintyKeyEE_.

                                                                                                   {
   
   isHLT_ = iConfig.getParameter<bool>("isHLT");
 
   tokenEBRecHits_   = cc.consumes<EcalRecHitCollection>(iConfig.getParameter<edm::InputTag>("ecalRecHitsEB"));
   tokenEERecHits_   = cc.consumes<EcalRecHitCollection>(iConfig.getParameter<edm::InputTag>("ecalRecHitsEE"));
 
   regressionKeyEB_  = iConfig.getParameter<std::string>("regressionKeyEB");
   uncertaintyKeyEB_ = iConfig.getParameter<std::string>("uncertaintyKeyEB");
   regressionKeyEE_  = iConfig.getParameter<std::string>("regressionKeyEE");
   uncertaintyKeyEE_ = iConfig.getParameter<std::string>("uncertaintyKeyEE");
  
   if (not isHLT_)
     tokenVertices_     = cc.consumes<reco::VertexCollection>(iConfig.getParameter<edm::InputTag>("vertexCollection"));
   else
     eThreshold_       = iConfig.getParameter<double>("eRecHitThreshold");
 }