#include <MuonAnalysis/MomentumScaleCalibration/plugins/ResolutionAnalyzer.cc>

Inheritance diagram for ResolutionAnalyzer:

Public Member Functions
	ResolutionAnalyzer (const edm::ParameterSet &)

	~ResolutionAnalyzer ()

Public Member Functions inherited from edm::EDAnalyzer
void	callWhenNewProductsRegistered (std::function< void(BranchDescription const &)> const &func)

	EDAnalyzer ()

ModuleDescription const &	moduleDescription () const

std::string	workerType () const

virtual	~EDAnalyzer ()

Public Member Functions inherited from edm::EDConsumerBase
std::vector< ConsumesInfo >	consumesInfo () const

	EDConsumerBase ()

ProductHolderIndexAndSkipBit	indexFrom (EDGetToken, BranchType, TypeID const &) const

void	itemsMayGet (BranchType, std::vector< ProductHolderIndexAndSkipBit > &) const

void	itemsToGet (BranchType, std::vector< ProductHolderIndexAndSkipBit > &) const

std::vector < ProductHolderIndexAndSkipBit > const &	itemsToGetFromEvent () const

void	labelsForToken (EDGetToken iToken, Labels &oLabels) const

void	modulesDependentUpon (std::string const &iProcessName, std::string const &iModuleLabel, bool iPrint, std::vector< char const * > &oModuleLabels) const

void	modulesWhoseProductsAreConsumed (std::vector< ModuleDescription const * > &modules, ProductRegistry const &preg, std::map< std::string, ModuleDescription const * > const &labelsToDesc, std::string const &processName) const

bool	registeredToConsume (ProductHolderIndex, bool, BranchType) const

bool	registeredToConsumeMany (TypeID const &, BranchType) const

void	updateLookup (BranchType iBranchType, ProductHolderIndexHelper const &)

virtual	~EDConsumerBase ()

Private Member Functions
virtual void	analyze (const edm::Event &, const edm::EventSetup &)

bool	checkDeltaR (const reco::Particle::LorentzVector &genMu, const reco::Particle::LorentzVector &recMu)
	Returns true if the two particles have DeltaR < cut. More...

virtual void	endJob ()

void	fillHistoMap ()
	Used to fill the map with the histograms needed. More...

template<typename T >
std::vector< reco::LeafCandidate >	fillMuonCollection (const std::vector< T > &tracks)

void	writeHistoMap ()
	Writes the histograms in the map. More...

Private Attributes
bool	debug_

TH1D *	deltaPtOverPt_

TH1D *	deltaPtOverPtForEta12_

int	eventCounter_

std::map< std::string, Histograms * >	mapHisto_

HCovarianceVSxy *	massResolutionVsPtEta_

int32_t	maxEvents_

TFile *	outputFile_

double	ptMax_

bool	readCovariances_

TH2D *	recoPtVsgenPt_

TH2D *	recoPtVsgenPtEta12_

bool	resonance_

std::string	theCovariancesRootFileName_

edm::InputTag	theMuonLabel_

int	theMuonType_

std::string	theRootFileName_

TString	treeFileName_

Additional Inherited Members
Public Types inherited from edm::EDAnalyzer
typedef EDAnalyzer	ModuleType

Public Types inherited from edm::EDConsumerBase
typedef ProductLabels	Labels

Static Public Member Functions inherited from edm::EDAnalyzer
static const std::string &	baseType ()

static void	fillDescriptions (ConfigurationDescriptions &descriptions)

static void	prevalidate (ConfigurationDescriptions &)

Protected Member Functions inherited from edm::EDConsumerBase
template<typename ProductType , BranchType B = InEvent>
EDGetTokenT< ProductType >	consumes (edm::InputTag const &tag)

EDGetToken	consumes (const TypeToGet &id, edm::InputTag const &tag)

template<BranchType B>
EDGetToken	consumes (TypeToGet const &id, edm::InputTag const &tag)

ConsumesCollector	consumesCollector ()
	Use a ConsumesCollector to gather consumes information from helper functions. More...

template<typename ProductType , BranchType B = InEvent>
void	consumesMany ()

void	consumesMany (const TypeToGet &id)

template<BranchType B>
void	consumesMany (const TypeToGet &id)

template<typename ProductType , BranchType B = InEvent>
EDGetTokenT< ProductType >	mayConsume (edm::InputTag const &tag)

EDGetToken	mayConsume (const TypeToGet &id, edm::InputTag const &tag)

template<BranchType B>
EDGetToken	mayConsume (const TypeToGet &id, edm::InputTag const &tag)

Detailed Description

Description: <one line="" class="" summary>="">

Implementation: <Notes on="" implementation>="">

Definition at line 65 of file ResolutionAnalyzer.h.

Constructor & Destructor Documentation

ResolutionAnalyzer::ResolutionAnalyzer ( const edm::ParameterSet & iConfig )

explicit

Definition at line 19 of file ResolutionAnalyzer.cc.

References eventCounter_, fillHistoMap(), edm::ParameterSet::getParameter(), outputFile_, MuScleFitUtils::parResol, MuScleFitUtils::resfind, MuScleFitUtils::ResolFitType, MuScleFitUtils::resolutionFunction, MuScleFitUtils::resolutionFunctionForVec, resolutionFunctionService(), resolutionFunctionVecService(), and theRootFileName_.

                                                                      :
   theMuonLabel_( iConfig.getParameter<edm::InputTag>( "MuonLabel" ) ),
   theMuonType_( iConfig.getParameter<int>( "MuonType" ) ),
   theRootFileName_( iConfig.getUntrackedParameter<std::string>("OutputFileName") ),
   theCovariancesRootFileName_( iConfig.getUntrackedParameter<std::string>("InputFileName") ),
   debug_( iConfig.getUntrackedParameter<bool>( "Debug" ) ),
   resonance_( iConfig.getParameter<bool>("Resonance") ),
   readCovariances_( iConfig.getParameter<bool>( "ReadCovariances" ) ),
   treeFileName_( iConfig.getParameter<std::string>("InputTreeName") ),
   maxEvents_( iConfig.getParameter<int>("MaxEvents") ),
   ptMax_( iConfig.getParameter<double>("PtMax") )
 {
   //now do what ever initialization is needed
 
   // Initial parameters values
   // -------------------------
   int resolFitType = iConfig.getParameter<int>("ResolFitType");
   MuScleFitUtils::ResolFitType = resolFitType;
   // MuScleFitUtils::resolutionFunction = resolutionFunctionArray[resolFitType];
   MuScleFitUtils::resolutionFunction = resolutionFunctionService( resolFitType );
   // MuScleFitUtils::resolutionFunctionForVec = resolutionFunctionArrayForVec[resolFitType];
   MuScleFitUtils::resolutionFunctionForVec = resolutionFunctionVecService( resolFitType );
 
   MuScleFitUtils::parResol = iConfig.getParameter<std::vector<double> >("parResol");
 
   MuScleFitUtils::resfind = iConfig.getParameter<std::vector<int> >("ResFind");
 
   outputFile_ = new TFile(theRootFileName_.c_str(), "RECREATE");
   outputFile_->cd();
   fillHistoMap();
 
   eventCounter_ = 0;
 }

ResolutionAnalyzer::~ResolutionAnalyzer ( )

Definition at line 54 of file ResolutionAnalyzer.cc.

References gather_cfg::cout, eventCounter_, outputFile_, and writeHistoMap().

 {
   outputFile_->cd();
   writeHistoMap();
   outputFile_->Close();
   std::cout << "Total analyzed events = " << eventCounter_ << std::endl;
 }

Member Function Documentation

void ResolutionAnalyzer::analyze	(	const edm::Event &	iEvent,
		const edm::EventSetup &	iSetup
	)

privatevirtual

Implements edm::EDAnalyzer.

Definition at line 68 of file ResolutionAnalyzer.cc.

References RecoTauCleanerPlugins::charge, checkDeltaR(), funct::cos(), gather_cfg::cout, MuScleFitUtils::deltaPhiNoFabs(), deltaPtOverPt_, deltaPtOverPtForEta12_, reco::tau::disc::Eta(), eventCounter_, create_public_lumi_plots::exp, HCovarianceVSxy::Fill(), i, mapHisto_, ResonanceBuilder::mass, MuScleFitUtils::massResolution(), massResolutionVsPtEta_, maxEvents_, MuScleFitUtils::mMu2, MuScleFitUtils::parResol, funct::pow(), reco::tau::disc::Pt(), readCovariances_, recoPtVsgenPt_, recoPtVsgenPtEta12_, MuScleFitUtils::resolutionFunctionForVec, resonance_, funct::sin(), mathSSE::sqrt(), and treeFileName_.

                                                                                     {
   using namespace edm;
 
   std::cout << "starting" << std::endl;
 
   lorentzVector nullLorentzVector(0, 0, 0, 0);
 
   RootTreeHandler rootTreeHandler;
   typedef std::vector<std::pair<lorentzVector,lorentzVector> > MuonPairVector;
   MuonPairVector savedPairVector;
   MuonPairVector genPairVector;
 
   std::vector<std::pair<unsigned int, unsigned long long> > evtRun;
   rootTreeHandler.readTree(maxEvents_, treeFileName_, &savedPairVector, 0, &evtRun, &genPairVector);
   MuonPairVector::iterator savedPair = savedPairVector.begin();
   MuonPairVector::iterator genPair = genPairVector.begin();
   std::cout << "Starting loop on " << savedPairVector.size() << " muons" << std::endl;
   for( ; savedPair != savedPairVector.end(); ++savedPair, ++genPair ) {
 
   ++eventCounter_;
 
   if( (eventCounter_ % 10000) == 0 ) {
     std::cout << "event = " << eventCounter_ << std::endl;
   }
 
   lorentzVector recMu1( savedPair->first );
   lorentzVector recMu2( savedPair->second );
 
   if ( resonance_ ) {
 
     // Histograms with genParticles characteristics
     // --------------------------------------------
 
     reco::Particle::LorentzVector genMother( genPair->first + genPair->second );
 
     mapHisto_["GenMother"]->Fill( genMother );
     mapHisto_["DeltaGenMotherMuons"]->Fill( genPair->first, genPair->second );
     mapHisto_["GenMotherMuons"]->Fill( genPair->first );
     mapHisto_["GenMotherMuons"]->Fill( genPair->second );
 
     // Match the reco muons with the gen and sim tracks
     // ------------------------------------------------
     if(checkDeltaR(genPair->first,recMu1)){
       mapHisto_["PtResolutionGenVSMu"]->Fill(recMu1,(-genPair->first.Pt()+recMu1.Pt())/genPair->first.Pt(),-1);
       mapHisto_["ThetaResolutionGenVSMu"]->Fill(recMu1,(-genPair->first.Theta()+recMu1.Theta()),-1);
       mapHisto_["CotgThetaResolutionGenVSMu"]->Fill(recMu1,(-cos(genPair->first.Theta())/sin(genPair->first.Theta())
                                                             +cos(recMu1.Theta())/sin(recMu1.Theta())),-1);
       mapHisto_["EtaResolutionGenVSMu"]->Fill(recMu1,(-genPair->first.Eta()+recMu1.Eta()),-1);
       // mapHisto_["PhiResolutionGenVSMu"]->Fill(recMu1,(-genPair->first.Phi()+recMu1.Phi()),-1);
       mapHisto_["PhiResolutionGenVSMu"]->Fill(recMu1,MuScleFitUtils::deltaPhiNoFabs(recMu1.Phi(), genPair->first.Phi()),-1);
       recoPtVsgenPt_->Fill(genPair->first.Pt(), recMu1.Pt());
       deltaPtOverPt_->Fill( (recMu1.Pt() - genPair->first.Pt())/genPair->first.Pt() );
       if( fabs(recMu1.Eta()) > 1 && fabs(recMu1.Eta()) < 1.2 ) {
         recoPtVsgenPtEta12_->Fill(genPair->first.Pt(), recMu1.Pt());
         deltaPtOverPtForEta12_->Fill( (recMu1.Pt() - genPair->first.Pt())/genPair->first.Pt() );
       }
     }
     if(checkDeltaR(genPair->second,recMu2)){
       mapHisto_["PtResolutionGenVSMu"]->Fill(recMu2,(-genPair->second.Pt()+recMu2.Pt())/genPair->second.Pt(),+1);
       mapHisto_["ThetaResolutionGenVSMu"]->Fill(recMu2,(-genPair->second.Theta()+recMu2.Theta()),+1);
       mapHisto_["CotgThetaResolutionGenVSMu"]->Fill(recMu2,(-cos(genPair->second.Theta())/sin(genPair->second.Theta())
                                                             +cos(recMu2.Theta())/sin(recMu2.Theta())),+1);
       mapHisto_["EtaResolutionGenVSMu"]->Fill(recMu2,(-genPair->second.Eta()+recMu2.Eta()),+1);
       // mapHisto_["PhiResolutionGenVSMu"]->Fill(recMu2,(-genPair->second.Phi()+recMu2.Phi()),+1);
       mapHisto_["PhiResolutionGenVSMu"]->Fill(recMu2,MuScleFitUtils::deltaPhiNoFabs(recMu2.Phi(), genPair->second.Phi()),+1);
       recoPtVsgenPt_->Fill(genPair->second.Pt(), recMu2.Pt());
       deltaPtOverPt_->Fill( (recMu2.Pt() - genPair->second.Pt())/genPair->second.Pt() );
       if( fabs(recMu2.Eta()) > 1 && fabs(recMu2.Eta()) < 1.2 ) {
         recoPtVsgenPtEta12_->Fill(genPair->second.Pt(), recMu2.Pt());
         deltaPtOverPtForEta12_->Fill( (recMu2.Pt() - genPair->second.Pt())/genPair->second.Pt() );
       }
     }
 
     // Fill the mass resolution histograms
     // -----------------------------------
     // check if the recoMuons match the genMuons
     // if( MuScleFitUtils::ResFound && checkDeltaR(simMu.first,recMu1) && checkDeltaR(simMu.second,recMu2) ) {
     if( genPair->first != nullLorentzVector && genPair->second != nullLorentzVector &&
         checkDeltaR(genPair->first,recMu1) && checkDeltaR(genPair->second,recMu2) ) {
 
       double recoMass = (recMu1+recMu2).mass();
       double genMass = (genPair->first + genPair->second).mass();
       // first is always mu-, second is always mu+
       mapHisto_["MassResolution"]->Fill(recMu1, -1, genPair->first, recMu2, +1, genPair->second, recoMass, genMass);
 
       // Fill the reconstructed resonance
       reco::Particle::LorentzVector recoResonance( recMu1+recMu2 );
       mapHisto_["RecoResonance"]->Fill( recoResonance );
       mapHisto_["DeltaRecoResonanceMuons"]->Fill( recMu1, recMu2 );
       mapHisto_["RecoResonanceMuons"]->Fill( recMu1 );
       mapHisto_["RecoResonanceMuons"]->Fill( recMu2 );
 
       // Fill the mass resolution (computed from MC), we use the covariance class to compute the variance
       if( genMass != 0 ) {
         // double diffMass = (recoMass - genMass)/genMass;
         double diffMass = recoMass - genMass;
         // Fill if for both muons
         double pt1 = recMu1.pt();
         double eta1 = recMu1.eta();
         double pt2 = recMu2.pt();
         double eta2 = recMu2.eta();
         // This is to avoid nan
         if( diffMass == diffMass ) {
           massResolutionVsPtEta_->Fill(pt1, eta1, diffMass, diffMass);
           massResolutionVsPtEta_->Fill(pt2, eta2, diffMass, diffMass);
         }
         else {
           std::cout << "Error, there is a nan: recoMass = " << recoMass << ", genMass = " << genMass << std::endl;
         }
         // Fill with mass resolution from resolution function
         double massRes = MuScleFitUtils::massResolution(recMu1, recMu2, MuScleFitUtils::parResol);
         // The value given by massRes is already divided by the mass, since the derivative functions have mass at the denominator.
         // We alos take the squared value, since var = sigma^2.
         mapHisto_["hFunctionResolMass"]->Fill( recMu1, std::pow(massRes,2), -1 );
         mapHisto_["hFunctionResolMass"]->Fill( recMu2, std::pow(massRes,2), +1 );
       }
 
       // Fill resolution functions for the muons (fill the squared value to make it comparable with the variance)
       mapHisto_["hFunctionResolPt"]->Fill( recMu1, MuScleFitUtils::resolutionFunctionForVec->sigmaPt(recMu1.Pt(), recMu1.Eta(), MuScleFitUtils::parResol), -1 );
       mapHisto_["hFunctionResolCotgTheta"]->Fill( recMu1, MuScleFitUtils::resolutionFunctionForVec->sigmaCotgTh(recMu1.Pt(), recMu1.Eta(), MuScleFitUtils::parResol), -1 );
       mapHisto_["hFunctionResolPhi"]->Fill( recMu1, MuScleFitUtils::resolutionFunctionForVec->sigmaPhi(recMu1.Pt(), recMu1.Eta(), MuScleFitUtils::parResol), -1 );
       mapHisto_["hFunctionResolPt"]->Fill( recMu2, MuScleFitUtils::resolutionFunctionForVec->sigmaPt(recMu2.Pt(), recMu2.Eta(), MuScleFitUtils::parResol), +1 );
       mapHisto_["hFunctionResolCotgTheta"]->Fill( recMu2, MuScleFitUtils::resolutionFunctionForVec->sigmaCotgTh(recMu2.Pt(), recMu2.Eta(), MuScleFitUtils::parResol), +1 );
       mapHisto_["hFunctionResolPhi"]->Fill( recMu2, MuScleFitUtils::resolutionFunctionForVec->sigmaPhi(recMu2.Pt(), recMu2.Eta(), MuScleFitUtils::parResol), +1 );
 
       if( readCovariances_ ) {
         // Compute mass error terms
         // ------------------------
         double mass   = (recMu1+recMu2).mass();
         double pt1    = recMu1.Pt();
         double phi1   = recMu1.Phi();
         double eta1   = recMu1.Eta();
         double theta1 = 2*atan(exp(-eta1));
         double pt2    = recMu2.Pt();
         double phi2   = recMu2.Phi();
         double eta2   = recMu2.Eta();
         double theta2 = 2*atan(exp(-eta2));
         // Derivatives
         double mMu2 = MuScleFitUtils::mMu2;
         double dmdpt1  = (pt1/std::pow(sin(theta1),2)*sqrt((std::pow(pt2/sin(theta2),2)+mMu2)/(std::pow(pt1/sin(theta1),2)+mMu2))-
                           pt2*(cos(phi1-phi2)+cos(theta1)*cos(theta2)/(sin(theta1)*sin(theta2))))/mass;
         double dmdpt2  = (pt2/std::pow(sin(theta2),2)*sqrt((std::pow(pt1/sin(theta1),2)+mMu2)/(std::pow(pt2/sin(theta2),2)+mMu2))-
                           pt1*(cos(phi2-phi1)+cos(theta2)*cos(theta1)/(sin(theta2)*sin(theta1))))/mass;
         double dmdphi1 = pt1*pt2/mass*sin(phi1-phi2);
         double dmdphi2 = pt2*pt1/mass*sin(phi2-phi1);
         double dmdcotgth1 = (pt1*pt1*cos(theta1)/sin(theta1)*
                              sqrt((std::pow(pt2/sin(theta2),2)+mMu2)/(std::pow(pt1/sin(theta1),2)+mMu2)) -
                              pt1*pt2*cos(theta2)/sin(theta2))/mass;
         double dmdcotgth2 = (pt2*pt2*cos(theta2)/sin(theta2)*
                              sqrt((std::pow(pt1/sin(theta1),2)+mMu2)/(std::pow(pt2/sin(theta2),2)+mMu2)) -
                              pt2*pt1*cos(theta1)/sin(theta1))/mass;
 
         // Multiplied by the pt here
         // -------------------------
         double dmdpt[2] = {dmdpt1*recMu1.Pt(), dmdpt2*recMu2.Pt()};
         double dmdphi[2] = {dmdphi1, dmdphi2};
         double dmdcotgth[2] = {dmdcotgth1, dmdcotgth2};
 
         // Evaluate the single terms in the mass error expression
 
         reco::Particle::LorentzVector * recMu[2] = { &recMu1, &recMu2 };
         int charge[2] = { -1, +1 };
 
         double fullMassRes = 0.;
         double massRes1 = 0.;
         double massRes2 = 0.;
         double massRes3 = 0.;
         double massRes4 = 0.;
         double massRes5 = 0.;
         double massRes6 = 0.;
     double massResPtAndPt12 = 0.;
 
         for( int i=0; i<2; ++i ) {
 
           double ptVariance = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Pt");
           double cotgThetaVariance = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "CotgTheta");
           double phiVariance = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Phi");
           double pt_cotgTheta = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Pt-CotgTheta");
           double pt_phi = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Pt-Phi");
           double cotgTheta_phi = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "CotgTheta-Phi");
 
           double pt1_pt2 = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Pt1-Pt2");
           double cotgTheta1_cotgTheta2 = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "CotgTheta1-CotgTheta2");
           double phi1_phi2 = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Phi1-Phi2");
           double pt12_cotgTheta21 = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Pt12-CotgTheta21");
           double pt12_phi21 = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "Pt12-Phi21");
           double cotgTheta12_phi21 = mapHisto_["ReadCovariances"]->Get(*(recMu[i]), "CotgTheta12-Phi21");
 
           // ATTENTION: Pt covariance terms are multiplied by Pt, since DeltaPt/Pt was used to compute them
           mapHisto_["MassResolutionPt"]->Fill( *(recMu[i]), ptVariance*std::pow(dmdpt[i],2), charge[i] );
           mapHisto_["MassResolutionCotgTheta"]->Fill( *(recMu[i]), cotgThetaVariance*std::pow(dmdcotgth[i],2), charge[i] );
           mapHisto_["MassResolutionPhi"]->Fill( *(recMu[i]), phiVariance*std::pow(dmdphi[i],2), charge[i] );
           mapHisto_["MassResolutionPt-CotgTheta"]->Fill( *(recMu[i]), 2*pt_cotgTheta*dmdpt[i]*dmdcotgth[i], charge[i] );
           mapHisto_["MassResolutionPt-Phi"]->Fill( *(recMu[i]), 2*pt_phi*dmdpt[i]*dmdphi[i], charge[i] );
           mapHisto_["MassResolutionCotgTheta-Phi"]->Fill( *(recMu[i]), 2*cotgTheta_phi*dmdcotgth[i]*dmdphi[i], charge[i] );
 
           mapHisto_["MassResolutionPt1-Pt2"]->Fill( *(recMu[i]), pt1_pt2*dmdpt[0]*dmdpt[1], charge[i] );
           mapHisto_["MassResolutionCotgTheta1-CotgTheta2"]->Fill( *(recMu[i]), cotgTheta1_cotgTheta2*dmdcotgth[0]*dmdcotgth[1], charge[i] );
           mapHisto_["MassResolutionPhi1-Phi2"]->Fill( *(recMu[i]), phi1_phi2*dmdphi[0]*dmdphi[1], charge[i] );
           // This must be filled for both configurations: 12 and 21
           mapHisto_["MassResolutionPt12-CotgTheta21"]->Fill( *(recMu[i]), pt12_cotgTheta21*dmdpt[0]*dmdcotgth[1], charge[i] );
           mapHisto_["MassResolutionPt12-CotgTheta21"]->Fill( *(recMu[i]), pt12_cotgTheta21*dmdpt[1]*dmdcotgth[0], charge[i] );
           mapHisto_["MassResolutionPt12-Phi21"]->Fill( *(recMu[i]), pt12_phi21*dmdpt[0]*dmdphi[1], charge[i] );
           mapHisto_["MassResolutionPt12-Phi21"]->Fill( *(recMu[i]), pt12_phi21*dmdpt[1]*dmdphi[0], charge[i] );
           mapHisto_["MassResolutionCotgTheta12-Phi21"]->Fill( *(recMu[i]), cotgTheta12_phi21*dmdcotgth[0]*dmdphi[1], charge[i] );
           mapHisto_["MassResolutionCotgTheta12-Phi21"]->Fill( *(recMu[i]), cotgTheta12_phi21*dmdcotgth[1]*dmdphi[0], charge[i] );
 
           // Sigmas for comparison
           mapHisto_["sigmaPtFromVariance"]->Fill( *(recMu[i]), sqrt(ptVariance), charge[i] );
           mapHisto_["sigmaCotgThetaFromVariance"]->Fill( *(recMu[i]), sqrt(cotgThetaVariance), charge[i] );
           mapHisto_["sigmaPhiFromVariance"]->Fill( *(recMu[i]), sqrt(phiVariance), charge[i] );
 
           // Pt term from function
           mapHisto_["MassResolutionPtFromFunction"]->Fill( *(recMu[i]), ( MuScleFitUtils::resolutionFunctionForVec->sigmaPt((recMu[i])->Pt(), (recMu[i])->Eta(), MuScleFitUtils::parResol) )*std::pow(dmdpt[i],2), charge[i] );
 
           fullMassRes +=
             ptVariance*std::pow(dmdpt[i],2) +
             cotgThetaVariance*std::pow(dmdcotgth[i],2) +
             phiVariance*std::pow(dmdphi[i],2) +
 
             // These are worth twice the others since there are: pt1-phi1, phi1-pt1, pt2-phi2, phi2-pt2
             2*pt_cotgTheta*dmdpt[i]*dmdcotgth[i] +
             2*pt_phi*dmdpt[i]*dmdphi[i] +
             2*cotgTheta_phi*dmdcotgth[i]*dmdphi[i] +
 
             pt1_pt2*dmdpt[0]*dmdpt[1] +
             cotgTheta1_cotgTheta2*dmdcotgth[0]*dmdcotgth[1] +
             phi1_phi2*dmdphi[0]*dmdphi[1] +
 
             // These are filled twice, because of the two combinations
             pt12_cotgTheta21*dmdpt[0]*dmdcotgth[1] +
             pt12_cotgTheta21*dmdpt[1]*dmdcotgth[0] +
             pt12_phi21*dmdpt[0]*dmdphi[1] +
             pt12_phi21*dmdpt[1]*dmdphi[0] +
             cotgTheta12_phi21*dmdcotgth[0]*dmdphi[1] +
             cotgTheta12_phi21*dmdcotgth[1]*dmdphi[0];
 
       massRes1 += ptVariance*std::pow(dmdpt[i],2);
       massRes2 += ptVariance*std::pow(dmdpt[i],2) +
         cotgThetaVariance*std::pow(dmdcotgth[i],2);
       massRes3 += ptVariance*std::pow(dmdpt[i],2) +
         cotgThetaVariance*std::pow(dmdcotgth[i],2) +
         phiVariance*std::pow(dmdphi[i],2);
       massRes4 += ptVariance*std::pow(dmdpt[i],2) +
         cotgThetaVariance*std::pow(dmdcotgth[i],2) +
         phiVariance*std::pow(dmdphi[i],2) +
         pt1_pt2*dmdpt[0]*dmdpt[1] +
         2*pt_cotgTheta*dmdpt[i]*dmdcotgth[i] +
         2*pt_phi*dmdpt[i]*dmdphi[i] +
         2*cotgTheta_phi*dmdcotgth[i]*dmdphi[i];
       massRes5 += ptVariance*std::pow(dmdpt[i],2) +
         cotgThetaVariance*std::pow(dmdcotgth[i],2) +
         phiVariance*std::pow(dmdphi[i],2) +
         pt1_pt2*dmdpt[0]*dmdpt[1] +
         2*pt_cotgTheta*dmdpt[i]*dmdcotgth[i] +
         2*pt_phi*dmdpt[i]*dmdphi[i] +
         2*cotgTheta_phi*dmdcotgth[i]*dmdphi[i] +
         cotgTheta1_cotgTheta2*dmdcotgth[0]*dmdcotgth[1] +
         phi1_phi2*dmdphi[0]*dmdphi[1];
       massRes6 += ptVariance*std::pow(dmdpt[i],2) +
         cotgThetaVariance*std::pow(dmdcotgth[i],2) +
         phiVariance*std::pow(dmdphi[i],2) +
         pt1_pt2*dmdpt[0]*dmdpt[1] +
         2*pt_cotgTheta*dmdpt[i]*dmdcotgth[i] +
         2*pt_phi*dmdpt[i]*dmdphi[i] +
         2*cotgTheta_phi*dmdcotgth[i]*dmdphi[i] +
         cotgTheta1_cotgTheta2*dmdcotgth[0]*dmdcotgth[1] +
         phi1_phi2*dmdphi[0]*dmdphi[1] +
         pt12_cotgTheta21*dmdpt[0]*dmdcotgth[1] +
         pt12_cotgTheta21*dmdpt[1]*dmdcotgth[0] +
         pt12_phi21*dmdpt[0]*dmdphi[1] +
         pt12_phi21*dmdpt[1]*dmdphi[0] +
         cotgTheta12_phi21*dmdcotgth[0]*dmdphi[1] +
         cotgTheta12_phi21*dmdcotgth[1]*dmdphi[0];
 
       massResPtAndPt12 += ptVariance*std::pow(dmdpt[i],2) + pt1_pt2*dmdpt[0]*dmdpt[1];
 
           // Derivatives
           mapHisto_["DerivativePt"]->Fill( *(recMu[i]), dmdpt[i], charge[i] );
           mapHisto_["DerivativeCotgTheta"]->Fill( *(recMu[i]), dmdcotgth[i], charge[i] );
           mapHisto_["DerivativePhi"]->Fill( *(recMu[i]), dmdphi[i], charge[i] );
         }
         // Fill the complete resolution function with covariance terms
         mapHisto_["FullMassResolution"]->Fill( *(recMu[0]), fullMassRes, charge[0]);
         mapHisto_["FullMassResolution"]->Fill( *(recMu[1]), fullMassRes, charge[1]);
 
         mapHisto_["MassRes1"]->Fill( *(recMu[0]), massRes1, charge[0] );
         mapHisto_["MassRes1"]->Fill( *(recMu[1]), massRes1, charge[1] );
         mapHisto_["MassRes2"]->Fill( *(recMu[0]), massRes2, charge[0] );
         mapHisto_["MassRes2"]->Fill( *(recMu[1]), massRes2, charge[1] );
         mapHisto_["MassRes3"]->Fill( *(recMu[0]), massRes3, charge[0] );
         mapHisto_["MassRes3"]->Fill( *(recMu[1]), massRes3, charge[1] );
         mapHisto_["MassRes4"]->Fill( *(recMu[0]), massRes4, charge[0] );
         mapHisto_["MassRes4"]->Fill( *(recMu[1]), massRes4, charge[1] );
         mapHisto_["MassRes5"]->Fill( *(recMu[0]), massRes5, charge[0] );
         mapHisto_["MassRes5"]->Fill( *(recMu[1]), massRes5, charge[1] );
         mapHisto_["MassRes6"]->Fill( *(recMu[0]), massRes6, charge[0] );
         mapHisto_["MassRes6"]->Fill( *(recMu[1]), massRes6, charge[1] );
         mapHisto_["MassResPtAndPt12"]->Fill( *(recMu[0]), massResPtAndPt12, charge[0] );
         mapHisto_["MassResPtAndPt12"]->Fill( *(recMu[1]), massResPtAndPt12, charge[1] );
       }
       else {
         // Fill the covariances histograms
         mapHisto_["Covariances"]->Fill(recMu1, genPair->first, recMu2, genPair->second);
       }
     }
   } // end if resonance
   }
 //   else {
 //
 //     // Loop on the recMuons
 //     std::vector<reco::LeafCandidate>::const_iterator recMuon = muons.begin();
 //     for ( ; recMuon!=muons.end(); ++recMuon ) {
 //       int charge = recMuon->charge();
 //
 //       lorentzVector recMu(recMuon->p4());
 //
 //       // Find the matching MC muon
 //       const HepMC::GenEvent* Evt = evtMC->GetEvent();
 //       //Loop on generated particles
 //       std::map<double, lorentzVector> genAssocMap;
 //       HepMC::GenEvent::particle_const_iterator part = Evt->particles_begin();
 //       for( ; part!=Evt->particles_end(); ++part ) {
 //         if (fabs((*part)->pdg_id())==13 && (*part)->status()==1) {
 //           lorentzVector genMu = (lorentzVector((*part)->momentum().px(),(*part)->momentum().py(),
 //                                                (*part)->momentum().pz(),(*part)->momentum().e()));
 //
 //           double deltaR = sqrt(MuScleFitUtils::deltaPhi(recMu.Phi(),genPair->Phi()) * MuScleFitUtils::deltaPhi(recMu.Phi(),genPair->Phi()) +
 //                                ((recMu.Eta()-genPair->Eta()) * (recMu.Eta()-genPair->Eta())));
 //
 //           // 13 for the muon (-1) and -13 for the antimuon (+1), thus pdg*charge = -13.
 //           // Only in this case we consider it matching.
 //           if( ((*part)->pdg_id())*charge == -13 ) genAssocMap.insert(std::make_pair(deltaR, genMu));
 //         }
 //       }
 //       // Take the closest in deltaR
 //       lorentzVector genMu(genAssocMap.begin()->second);
 //
 //       // Histograms with genParticles characteristics
 //       // --------------------------------------------
 //
 //       if(checkDeltaR(genMu,recMu)){
 //         mapHisto_["PtResolutionGenVSMu"]->Fill(genMu,(-genPair->Pt()+recMu.Pt())/genPair->Pt(),charge);
 //         mapHisto_["ThetaResolutionGenVSMu"]->Fill(genMu,(-genPair->Theta()+recMu.Theta()),charge);
 //         mapHisto_["CotgThetaResolutionGenVSMu"]->Fill(genMu,(-cos(genPair->Theta())/sin(genPair->Theta())
 //                                                              +cos(recMu.Theta())/sin(recMu.Theta())),charge);
 //         mapHisto_["EtaResolutionGenVSMu"]->Fill(genMu,(-genPair->Eta()+recMu.Eta()),charge);
 //         mapHisto_["PhiResolutionGenVSMu"]->Fill(genMu,MuScleFitUtils::deltaPhiNoFabs(recMu.Phi(), genPair->Phi()),charge);
 //       }
 //     }
 }

bool ResolutionAnalyzer::checkDeltaR	(	const reco::Particle::LorentzVector &	genMu,
		const reco::Particle::LorentzVector &	recMu
	)

private

Returns true if the two particles have DeltaR < cut.

Definition at line 552 of file ResolutionAnalyzer.cc.

References gather_cfg::cout, debug_, MuScleFitUtils::deltaPhi(), deltaR(), and mathSSE::sqrt().

Referenced by analyze().

                                                                                                                     {
   //first is always mu-, second is always mu+
   double deltaR = sqrt(MuScleFitUtils::deltaPhi(recMu.Phi(),genMu.Phi()) * MuScleFitUtils::deltaPhi(recMu.Phi(),genMu.Phi()) +
                        ((recMu.Eta()-genMu.Eta()) * (recMu.Eta()-genMu.Eta())));
   if(deltaR<0.01)
     return true;
   else if (debug_>0)
     std::cout<<"Reco muon "<<recMu<<" with eta "<<recMu.Eta()<<" and phi "<<recMu.Phi()<<std::endl
          <<" DOES NOT MATCH with generated muon from resonance: "<<std::endl
          <<genMu<<" with eta "<<genMu.Eta()<<" and phi "<<genMu.Phi()<<std::endl;
   return false;
 }

virtual void ResolutionAnalyzer::endJob ( void )

inlineprivatevirtual

Reimplemented from edm::EDAnalyzer.

Definition at line 72 of file ResolutionAnalyzer.h.

72 {};

void ResolutionAnalyzer::fillHistoMap ( )

private

Used to fill the map with the histograms needed.

Definition at line 420 of file ResolutionAnalyzer.cc.

References deltaPtOverPt_, deltaPtOverPtForEta12_, mapHisto_, massResolutionVsPtEta_, HLT_25ns10e33_v2_cff::maxMass, HLT_25ns10e33_v2_cff::minMass, outputFile_, ptMax_, readCovariances_, recoPtVsgenPt_, recoPtVsgenPtEta12_, MuScleFitUtils::resfind, and theCovariancesRootFileName_.

Referenced by ResolutionAnalyzer().

                                       {
 
   outputFile_->cd();
 
   // Resonances
   // If no Z is required, use a smaller mass range.
   double minMass = 0.;
   double maxMass = 200.;
   if( MuScleFitUtils::resfind[0] != 1 ) {
     maxMass = 30.;
   }
   mapHisto_["GenMother"]               = new HParticle(outputFile_, "GenMother", minMass, maxMass);
   mapHisto_["SimResonance"]            = new HParticle(outputFile_, "SimResonance", minMass, maxMass);
   mapHisto_["RecoResonance"]           = new HParticle(outputFile_, "RecoResonance", minMass, maxMass);
 
   // Resonance muons
   mapHisto_["GenMotherMuons"]          = new HParticle(outputFile_, "GenMotherMuons", minMass, 1.);
   mapHisto_["SimResonanceMuons"]       = new HParticle(outputFile_, "SimResonanceMuons", minMass, 1.);
   mapHisto_["RecoResonanceMuons"]      = new HParticle(outputFile_, "RecoResonanceMuons", minMass, 1.);
 
   // Deltas between resonance muons
   mapHisto_["DeltaGenMotherMuons"]     = new HDelta (outputFile_, "DeltaGenMotherMuons");
   mapHisto_["DeltaSimResonanceMuons"]  = new HDelta (outputFile_, "DeltaSimResonanceMuons");
   mapHisto_["DeltaRecoResonanceMuons"] = new HDelta (outputFile_, "DeltaRecoResonanceMuons");
 
   //   //Reconstructed muon kinematics
   //   //-----------------------------
   //   mapHisto_["hRecBestMu"]             = new HParticle         ("hRecBestMu");
   //   mapHisto_["hRecBestMu_Acc"]         = new HParticle         ("hRecBestMu_Acc");
   //   mapHisto_["hDeltaRecBestMu"]        = new HDelta            ("hDeltaRecBestMu");
 
   //   mapHisto_["hRecBestRes"]            = new HParticle         ("hRecBestRes");
   //   mapHisto_["hRecBestRes_Acc"]        = new HParticle         ("hRecBestRes_Acc");
   //   mapHisto_["hRecBestResVSMu"]        = new HMassVSPart       ("hRecBestResVSMu");
 
   //Resolution VS muon kinematic
   //----------------------------
   mapHisto_["PtResolutionGenVSMu"]        = new HResolutionVSPart (outputFile_, "PtResolutionGenVSMu");
   mapHisto_["PtResolutionSimVSMu"]        = new HResolutionVSPart (outputFile_, "PtResolutionSimVSMu");
   mapHisto_["EtaResolutionGenVSMu"]       = new HResolutionVSPart (outputFile_, "EtaResolutionGenVSMu");
   mapHisto_["EtaResolutionSimVSMu"]       = new HResolutionVSPart (outputFile_, "EtaResolutionSimVSMu");
   mapHisto_["ThetaResolutionGenVSMu"]     = new HResolutionVSPart (outputFile_, "ThetaResolutionGenVSMu");
   mapHisto_["ThetaResolutionSimVSMu"]     = new HResolutionVSPart (outputFile_, "ThetaResolutionSimVSMu");
   mapHisto_["CotgThetaResolutionGenVSMu"] = new HResolutionVSPart (outputFile_, "CotgThetaResolutionGenVSMu", -0.02, 0.02, -0.02, 0.02);
   mapHisto_["CotgThetaResolutionSimVSMu"] = new HResolutionVSPart (outputFile_, "CotgThetaResolutionSimVSMu");
   mapHisto_["PhiResolutionGenVSMu"]       = new HResolutionVSPart (outputFile_, "PhiResolutionGenVSMu", -0.002, 0.002, -0.002, 0.002);
   mapHisto_["PhiResolutionSimVSMu"]       = new HResolutionVSPart (outputFile_, "PhiResolutionSimVSMu");
 
   // Covariances between muons kinematic quantities
   // ----------------------------------------------
   double ptMax = ptMax_;
 
   // Mass resolution
   // ---------------
   mapHisto_["MassResolution"] = new HMassResolutionVSPart (outputFile_,"MassResolution");
 
   //  mapHisto_["hResolRecoMassVSGenMassVSPt"] = new HResolutionVSPart
 
   // Mass resolution vs (pt, eta) of the muons from MC
   massResolutionVsPtEta_ = new HCovarianceVSxy ( "Mass", "Mass", 100, 0., ptMax, 60, -3, 3 );
   // Mass resolution vs (pt, eta) of the muons from function
   recoPtVsgenPt_ = new TH2D("recoPtVsgenPt", "recoPtVsgenPt", 100, 0, ptMax, 100, 0, ptMax);
   recoPtVsgenPtEta12_ = new TH2D("recoPtVsgenPtEta12", "recoPtVsgenPtEta12", 100, 0, ptMax, 100, 0, ptMax);
   deltaPtOverPt_ = new TH1D("deltaPtOverPt", "deltaPtOverPt", 100, -0.1, 0.1);
   deltaPtOverPtForEta12_ = new TH1D("deltaPtOverPtForEta12", "deltaPtOverPtForEta12", 100, -0.1, 0.1);
 
   // Muons resolutions from resolution functions
   // -------------------------------------------
   int totBinsY = 60;
   mapHisto_["hFunctionResolMass"]      = new HFunctionResolution (outputFile_, "hFunctionResolMass", ptMax, totBinsY);
   mapHisto_["hFunctionResolPt"]        = new HFunctionResolution (outputFile_, "hFunctionResolPt", ptMax, totBinsY);
   mapHisto_["hFunctionResolCotgTheta"] = new HFunctionResolution (outputFile_, "hFunctionResolCotgTheta", ptMax, totBinsY);
   mapHisto_["hFunctionResolPhi"]       = new HFunctionResolution (outputFile_, "hFunctionResolPhi", ptMax, totBinsY);
 
   if( readCovariances_ ) {
     // Covariances read from file. Used to compare the terms in the expression of mass error
     mapHisto_["ReadCovariances"] = new HCovarianceVSParts ( theCovariancesRootFileName_, "Covariance" );
 
     // Variances
     mapHisto_["MassResolutionPt"]                    = new HFunctionResolutionVarianceCheck(outputFile_,"functionResolMassPt", ptMax);
     mapHisto_["MassResolutionCotgTheta"]             = new HFunctionResolutionVarianceCheck(outputFile_,"functionResolMassCotgTheta", ptMax);
     mapHisto_["MassResolutionPhi"]                   = new HFunctionResolutionVarianceCheck(outputFile_,"functionResolMassPhi", ptMax);
     // Covariances
     mapHisto_["MassResolutionPt-CotgTheta"]          = new HFunctionResolution(outputFile_,"functionResolMassPt-CotgTheta", ptMax, totBinsY);
     mapHisto_["MassResolutionPt-Phi"]                = new HFunctionResolution(outputFile_,"functionResolMassPt-Phi", ptMax, totBinsY);
     mapHisto_["MassResolutionCotgTheta-Phi"]         = new HFunctionResolution(outputFile_,"functionResolMassCotgTheta-Phi", ptMax, totBinsY);
     mapHisto_["MassResolutionPt1-Pt2"]               = new HFunctionResolution(outputFile_,"functionResolMassPt1-Pt2", ptMax, totBinsY);
     mapHisto_["MassResolutionCotgTheta1-CotgTheta2"] = new HFunctionResolution(outputFile_,"functionResolMassCotgTheta1-CotgTheta2", ptMax, totBinsY);
     mapHisto_["MassResolutionPhi1-Phi2"]             = new HFunctionResolution(outputFile_,"functionResolMassPhi1-Phi2", ptMax, totBinsY);
     mapHisto_["MassResolutionPt12-CotgTheta21"]      = new HFunctionResolution(outputFile_,"functionResolMassPt12-CotgTheta21", ptMax, totBinsY);
     mapHisto_["MassResolutionPt12-Phi21"]            = new HFunctionResolution(outputFile_,"functionResolMassPt12-Phi21", ptMax, totBinsY);
     mapHisto_["MassResolutionCotgTheta12-Phi21"]     = new HFunctionResolution(outputFile_,"functionResolMassCotgTheta12-Phi21", ptMax, totBinsY);
 
     mapHisto_["sigmaPtFromVariance"]                 = new HFunctionResolution(outputFile_,"sigmaPtFromVariance", ptMax, totBinsY);
     mapHisto_["sigmaCotgThetaFromVariance"]          = new HFunctionResolution(outputFile_,"sigmaCotgThetaFromVariance", ptMax, totBinsY);
     mapHisto_["sigmaPhiFromVariance"]                = new HFunctionResolution(outputFile_,"sigmaPhiFromVariance", ptMax, totBinsY);
 
     // Derivatives
     mapHisto_["DerivativePt"]                        = new HFunctionResolution(outputFile_,"derivativePt", ptMax);
     mapHisto_["DerivativeCotgTheta"]                 = new HFunctionResolution(outputFile_,"derivativeCotgTheta", ptMax);
     mapHisto_["DerivativePhi"]                       = new HFunctionResolution(outputFile_,"derivativePhi", ptMax);
 
     // Pt term from function
     mapHisto_["MassResolutionPtFromFunction"]        = new HFunctionResolutionVarianceCheck(outputFile_,"functionResolMassPtFromFunction", ptMax);
 
     mapHisto_["FullMassResolution"]                  = new HFunctionResolution(outputFile_, "fullMassResolution", ptMax);
     mapHisto_["MassRes1"]                            = new HFunctionResolution(outputFile_, "massRes1", ptMax);
     mapHisto_["MassRes2"]                            = new HFunctionResolution(outputFile_, "massRes2", ptMax);
     mapHisto_["MassRes3"]                            = new HFunctionResolution(outputFile_, "massRes3", ptMax);
     mapHisto_["MassRes4"]                            = new HFunctionResolution(outputFile_, "massRes4", ptMax);
     mapHisto_["MassRes5"]                            = new HFunctionResolution(outputFile_, "massRes5", ptMax);
     mapHisto_["MassRes6"]                            = new HFunctionResolution(outputFile_, "massRes6", ptMax);
     mapHisto_["MassResPtAndPt12"]                    = new HFunctionResolution(outputFile_, "massResPtAndPt12", ptMax);
   }
   else {
     mapHisto_["Covariances"] = new HCovarianceVSParts ( outputFile_, "Covariance", ptMax );
   }
 }

template<typename T >

std::vector<reco::LeafCandidate> ResolutionAnalyzer::fillMuonCollection ( const std::vector< T > & tracks )

inlineprivate

Definition at line 75 of file ResolutionAnalyzer.h.

References gather_cfg::cout, debug_, MuScleFitUtils::goodmuon, MuScleFitUtils::mMu2, RPCpg::mu, metsig::muon, patZpeak::muons, and mathSSE::sqrt().

                                                                                {
     std::vector<reco::LeafCandidate> muons;
     typename std::vector<T>::const_iterator track;
     for (track = tracks.begin(); track != tracks.end(); ++track){
       reco::Particle::LorentzVector mu(track->px(),track->py(),track->pz(),
                        sqrt(track->p()*track->p() + MuScleFitUtils::mMu2));
       MuScleFitUtils::goodmuon++;
       if (debug_>0) std::cout <<std::setprecision(9)<< "Muon #" << MuScleFitUtils::goodmuon 
                   << ": initial value   Pt = " << mu.Pt() << std::endl;
       reco::LeafCandidate muon(track->charge(),mu);
       // Store muon
       // ----------
       muons.push_back( muon );
     }
     return muons;
   } 

void ResolutionAnalyzer::writeHistoMap ( )

private

Writes the histograms in the map.

Definition at line 539 of file ResolutionAnalyzer.cc.

References deltaPtOverPt_, deltaPtOverPtForEta12_, timingPdfMaker::histo, mapHisto_, massResolutionVsPtEta_, outputFile_, recoPtVsgenPt_, recoPtVsgenPtEta12_, and HCovarianceVSxy::Write().

Referenced by ~ResolutionAnalyzer().

                                        {
   for (std::map<std::string, Histograms*>::const_iterator histo=mapHisto_.begin();
        histo!=mapHisto_.end(); histo++) {
     (*histo).second->Write();
   }
   outputFile_->cd();
   massResolutionVsPtEta_->Write();
   recoPtVsgenPt_->Write();
   recoPtVsgenPtEta12_->Write();
   deltaPtOverPt_->Write();
   deltaPtOverPtForEta12_->Write();
 }