/data/refman/pasoursint/CMSSW_4_1_8_patch12/src/HLTriggerOffline/Egamma/src/EmDQM.cc

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//                    Header file for this                                    //
#include "HLTriggerOffline/Egamma/interface/EmDQM.h"

//                    Collaborating Class Header                              //
#include "FWCore/Framework/interface/Frameworkfwd.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"
#include "FWCore/Framework/interface/MakerMacros.h"
#include "DataFormats/HLTReco/interface/TriggerEventWithRefs.h"
#include "DataFormats/RecoCandidate/interface/RecoEcalCandidate.h"
#include "DataFormats/EgammaCandidates/interface/Electron.h"
//#include "DataFormats/EgammaCandidates/interface/Photon.h"
#include "DataFormats/L1Trigger/interface/L1EmParticle.h"
#include "DataFormats/L1Trigger/interface/L1EmParticleFwd.h"
//#include "SimDataFormats/HepMCProduct/interface/HepMCProduct.h"
#include "SimDataFormats/GeneratorProducts/interface/HepMCProduct.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "DataFormats/Common/interface/AssociationMap.h"

#include "DataFormats/Common/interface/Handle.h"
#include "DataFormats/Common/interface/RefToBase.h"
#include "FWCore/ServiceRegistry/interface/Service.h"
#include "FWCore/Utilities/interface/Exception.h"
#include "DataFormats/HLTReco/interface/TriggerTypeDefs.h"
//                           Root include files                               //
#include "TFile.h"
#include "TDirectory.h"
#include "TH1F.h"
#include <iostream>
#include <string>
#include <Math/VectorUtil.h>
using namespace ROOT::Math::VectorUtil ;


//                             Constructor                                    //
EmDQM::EmDQM(const edm::ParameterSet& pset)  
{

  dbe = edm::Service < DQMStore > ().operator->();
  dbe->setVerbose(0);


  //          Read from configuration file                  //
  dirname_="HLT/HLTEgammaValidation/"+pset.getParameter<std::string>("@module_label");
  dbe->setCurrentFolder(dirname_);

  triggerobjwithrefs = pset.getParameter<edm::InputTag>("triggerobject");
  // paramters for generator study 
  reqNum    = pset.getParameter<unsigned int>("reqNum");
  pdgGen    = pset.getParameter<int>("pdgGen");
  genEtaAcc = pset.getParameter<double>("genEtaAcc");
  genEtAcc  = pset.getParameter<double>("genEtAcc");
  // plotting paramters (untracked because they don't affect the physics)
  plotPtMin  = pset.getUntrackedParameter<double>("PtMin",0.);
  plotPtMax  = pset.getUntrackedParameter<double>("PtMax",1000.);
  plotEtaMax = pset.getUntrackedParameter<double>("EtaMax", 2.7);
  plotPhiMax = pset.getUntrackedParameter<double>("EtaMax", 3.15);
  plotBins   = pset.getUntrackedParameter<unsigned int>("Nbins",40);
  useHumanReadableHistTitles = pset.getUntrackedParameter<bool>("useHumanReadableHistTitles", false);

  //preselction cuts 
  gencutCollection_= pset.getParameter<edm::InputTag>("cutcollection");
  gencut_          = pset.getParameter<int>("cutnum");

  //         Read in the Vector of Parameter Sets.          //
  //           Information for each filter-step             //
  std::vector<edm::ParameterSet> filters = 
       pset.getParameter<std::vector<edm::ParameterSet> >("filters");

  int i = 0;
  for(std::vector<edm::ParameterSet>::iterator filterconf = filters.begin() ; filterconf != filters.end() ; filterconf++)
  {

    theHLTCollectionLabels.push_back(filterconf->getParameter<edm::InputTag>("HLTCollectionLabels"));
    theHLTOutputTypes.push_back(filterconf->getParameter<int>("theHLTOutputTypes"));
    // Grab the human-readable name, if it is not specified, use the Collection Label
    theHLTCollectionHumanNames.push_back(filterconf->getUntrackedParameter<std::string>("HLTCollectionHumanName",theHLTCollectionLabels[i].label()));

    std::vector<double> bounds = filterconf->getParameter<std::vector<double> >("PlotBounds");
    // If the size of plot "bounds" vector != 2, abort
    assert(bounds.size() == 2);
    plotBounds.push_back(std::pair<double,double>(bounds[0],bounds[1]));
    isoNames.push_back(filterconf->getParameter<std::vector<edm::InputTag> >("IsoCollections"));
    // If the size of the isoNames vector is not greater than zero, abort
    assert(isoNames.back().size()>0);
    if (isoNames.back().at(0).label()=="none") {
      plotiso.push_back(false);
    } else {
      plotiso.push_back(true);
    }
    i++;
  } // END of loop over parameter sets

  // Record number of HLTCollectionLabels
  numOfHLTCollectionLabels = theHLTCollectionLabels.size();
  
}


//       method called once each job just before starting event loop          //
void 
EmDQM::beginJob()
{
  //edm::Service<TFileService> fs;
  dbe->setCurrentFolder(dirname_);

  //  Set up Histogram of Effiency vs Step.                 //
  //   theHLTCollectionLabels is a vector of InputTags      //
  //    from the configuration file.                        //

  std::string histName="total_eff";
  std::string histTitle = "total events passing";
  // This plot will have bins equal to 2+(number of
  //        HLTCollectionLabels in the config file)
  total = dbe->book1D(histName.c_str(),histTitle.c_str(),numOfHLTCollectionLabels+2,0,numOfHLTCollectionLabels+2);
  total->setBinLabel(numOfHLTCollectionLabels+1,"Total");
  total->setBinLabel(numOfHLTCollectionLabels+2,"Gen");
  for (unsigned int u=0; u<numOfHLTCollectionLabels; u++){total->setBinLabel(u+1,theHLTCollectionLabels[u].label().c_str());}

  histName="total_eff_MC_matched";
  histTitle="total events passing (mc matched)";
  totalmatch = dbe->book1D(histName.c_str(),histTitle.c_str(),numOfHLTCollectionLabels+2,0,numOfHLTCollectionLabels+2);
  totalmatch->setBinLabel(numOfHLTCollectionLabels+1,"Total");
  totalmatch->setBinLabel(numOfHLTCollectionLabels+2,"Gen");
  for (unsigned int u=0; u<numOfHLTCollectionLabels; u++){totalmatch->setBinLabel(u+1,theHLTCollectionLabels[u].label().c_str());}

  MonitorElement* tmphisto;
  MonitorElement* tmpiso;

  // Set up generator-level histograms                      //
  std::string pdgIdString;
  switch(pdgGen) {
  case 11:
    pdgIdString="Electron";break;
  case 22:
    pdgIdString="Photon";break;
  default:
    pdgIdString="Particle";
  }

  histName = "gen_et";
  histTitle= "E_{T} of " + pdgIdString + "s" ;
  etgen =  dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
  histName = "gen_eta";
  histTitle= "#eta of "+ pdgIdString +"s " ;
  etagen = dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
  histName = "gen_phi";
  histTitle= "#phi of "+ pdgIdString +"s " ;
  phigen = dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);

  

  //  Set up histograms of HLT objects                      //

  // Determine what strings to use for histogram titles
  std::vector<std::string> HltHistTitle;
  if ( theHLTCollectionHumanNames.size() == numOfHLTCollectionLabels && useHumanReadableHistTitles ) {
    HltHistTitle = theHLTCollectionHumanNames;
  } else {
    for (unsigned int i =0; i < numOfHLTCollectionLabels; i++) {
      HltHistTitle.push_back(theHLTCollectionLabels[i].label());
    }
  }
 
  for(unsigned int i = 0; i< numOfHLTCollectionLabels ; i++){
    // Et distribution of HLT objects passing filter i
    histName = theHLTCollectionLabels[i].label()+"et_all";
    histTitle = HltHistTitle[i]+" Et (ALL)";
    tmphisto =  dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
    ethist.push_back(tmphisto);
    
    // Eta distribution of HLT objects passing filter i
    histName = theHLTCollectionLabels[i].label()+"eta_all";
    histTitle = HltHistTitle[i]+" #eta (ALL)";
    tmphisto =  dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
    etahist.push_back(tmphisto);          

    // Phi distribution of HLT objects passing filter i
    histName = theHLTCollectionLabels[i].label()+"phi_all";
    histTitle = HltHistTitle[i]+" #phi (ALL)";
    tmphisto =  dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);
    phihist.push_back(tmphisto);


    // Et distribution of gen object matching HLT object passing filter i
    histName = theHLTCollectionLabels[i].label()+"et_MC_matched";
    histTitle = HltHistTitle[i]+" Et (MC matched)";
    tmphisto =  dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
    ethistmatch.push_back(tmphisto);
    
    // Eta distribution of gen object matching HLT object passing filter i
    histName = theHLTCollectionLabels[i].label()+"eta_MC_matched";
    histTitle = HltHistTitle[i]+" #eta (MC matched)";
    tmphisto =  dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
    etahistmatch.push_back(tmphisto);

    // Phi distribution of gen object matching HLT object passing filter i
    histName = theHLTCollectionLabels[i].label()+"phi_MC_matched";
    histTitle = HltHistTitle[i]+" #phi (MC matched)";
    tmphisto =  dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);
    phihistmatch.push_back(tmphisto);



    // Et distribution of HLT object that is closest delta-R match to sorted gen particle(s)
    histName  = theHLTCollectionLabels[i].label()+"et";
    histTitle = HltHistTitle[i]+" Et";
    tmphisto  = dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax);
    histEtOfHltObjMatchToGen.push_back(tmphisto);

    // eta distribution of HLT object that is closest delta-R match to sorted gen particle(s)
    histName  = theHLTCollectionLabels[i].label()+"eta";
    histTitle = HltHistTitle[i]+" eta";
    tmphisto  = dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax);
    histEtaOfHltObjMatchToGen.push_back(tmphisto);

    // phi distribution of HLT object that is closest delta-R match to sorted gen particle(s)
    histName  = theHLTCollectionLabels[i].label()+"phi";
    histTitle = HltHistTitle[i]+" phi";
    tmphisto  = dbe->book1D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax);
    histPhiOfHltObjMatchToGen.push_back(tmphisto);



    if (!plotiso[i]) {
      tmpiso = NULL;
      etahistiso.push_back(tmpiso);
      phihistiso.push_back(tmpiso);
      ethistiso.push_back(tmpiso);
      etahistisomatch.push_back(tmpiso);
      phihistisomatch.push_back(tmpiso);
      ethistisomatch.push_back(tmpiso);
      histEtaIsoOfHltObjMatchToGen.push_back(tmpiso);
      histPhiIsoOfHltObjMatchToGen.push_back(tmpiso);
      histEtIsoOfHltObjMatchToGen.push_back(tmpiso);
    } else {
      // 2D plot: Isolation values vs eta for all objects
      histName  = theHLTCollectionLabels[i].label()+"eta_isolation_all";
      histTitle = HltHistTitle[i]+" isolation vs #eta (all)";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      etahistiso.push_back(tmpiso);

      // 2D plot: Isolation values vs phi for all objects
      histName  = theHLTCollectionLabels[i].label()+"phi_isolation_all";
      histTitle = HltHistTitle[i]+" isolation vs #phi (all)";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      phihistiso.push_back(tmpiso);


      // 2D plot: Isolation values vs et for all objects
      histName  = theHLTCollectionLabels[i].label()+"et_isolation_all";
      histTitle = HltHistTitle[i]+" isolation vs Et (all)";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      ethistiso.push_back(tmpiso);

      // 2D plot: Isolation values vs eta for matched objects
      histName  = theHLTCollectionLabels[i].label()+"eta_isolation_MC_matched";
      histTitle = HltHistTitle[i]+" isolation vs #eta (mc matched)";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      etahistisomatch.push_back(tmpiso);

      // 2D plot: Isolation values vs phi for matched objects
      histName  = theHLTCollectionLabels[i].label()+"phi_isolation_MC_matched";
      histTitle = HltHistTitle[i]+" isolation vs #phi (mc matched)";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      phihistisomatch.push_back(tmpiso);


      // 2D plot: Isolation values vs et for matched objects
      histName  = theHLTCollectionLabels[i].label()+"et_isolation_MC_matched";
      histTitle = HltHistTitle[i]+" isolation vs Et (mc matched)";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      ethistisomatch.push_back(tmpiso);


      // 2D plot: Isolation values vs eta for HLT object that 
      // is closest delta-R match to sorted gen particle(s)
      histName  = theHLTCollectionLabels[i].label()+"eta_isolation";
      histTitle = HltHistTitle[i]+" isolation vs #eta";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,-plotEtaMax,plotEtaMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      histEtaIsoOfHltObjMatchToGen.push_back(tmpiso);

      // 2D plot: Isolation values vs phi for HLT object that
      // is closest delta-R match to sorted gen particle(s)
      histName  = theHLTCollectionLabels[i].label()+"phi_isolation";
      histTitle = HltHistTitle[i]+" isolation vs #phi";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,-plotPhiMax,plotPhiMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      histPhiIsoOfHltObjMatchToGen.push_back(tmpiso);

      // 2D plot: Isolation values vs et for HLT object that 
      // is closest delta-R match to sorted gen particle(s)
      histName  = theHLTCollectionLabels[i].label()+"et_isolation";
      histTitle = HltHistTitle[i]+" isolation vs Et";
      tmpiso    = dbe->book2D(histName.c_str(),histTitle.c_str(),plotBins,plotPtMin,plotPtMax,plotBins,plotBounds[i].first,plotBounds[i].second);
      histEtIsoOfHltObjMatchToGen.push_back(tmpiso);
    } // END of HLT histograms

  }
}


//                                Destructor                                  //
EmDQM::~EmDQM(){
}


//                     method called to for each event                        //
void 
EmDQM::analyze(const edm::Event & event , const edm::EventSetup& setup)
{
  
  //           Check if there's enough gen particles        //
  //             of interest                                //
  edm::Handle< edm::View<reco::Candidate> > cutCounter;
  event.getByLabel(gencutCollection_,cutCounter);
  if (cutCounter->size() < (unsigned int)gencut_) {
    //edm::LogWarning("EmDQM") << "Less than "<< gencut_ <<" gen particles with pdgId=" << pdgGen;
    return;
  }


  // fill L1 and HLT info
  // get objects possed by each filter
  edm::Handle<trigger::TriggerEventWithRefs> triggerObj;
  event.getByLabel(triggerobjwithrefs,triggerObj); 
  if(!triggerObj.isValid()) { 
    edm::LogWarning("EmDQM") << "triggerobjwithrefs=" << triggerobjwithrefs;
    return;
  }


  // Decide if this was an event of interest.               //
  //  Did the highest energy particles happen               //
  //  to have |eta| < 2.5 ?  Then continue.                 //
  edm::Handle< edm::View<reco::GenParticle> > genParticles;
  event.getByLabel("genParticles", genParticles);
  if(!genParticles.isValid()) { 
    edm::LogWarning("EmDQM") << "genParticles invalid";
    return;
  }

  std::vector<reco::GenParticle> allSortedGenParticles;

  for(edm::View<reco::GenParticle>::const_iterator currentGenParticle = genParticles->begin(); currentGenParticle != genParticles->end(); currentGenParticle++){

    if (  !( abs((*currentGenParticle).pdgId())==pdgGen  && (*currentGenParticle).status()==1 && (*currentGenParticle).et() > 2.0)  )  continue;

    reco::GenParticle tmpcand( *(currentGenParticle) );
    allSortedGenParticles.push_back(tmpcand);
  }

  std::sort(allSortedGenParticles.begin(), allSortedGenParticles.end(),pTGenComparator_);

  // Were enough high energy gen particles found?
  if (allSortedGenParticles.size() < gencut_) {
    // if no, throw event away
    return;
  }

  // We now have a sorted collection of all generated particles
  // with pdgId = pdgGen.
  // Loop over them to see if the top gen particles have eta within acceptance
  bool keepEvent = true;
  for (unsigned int i = 0 ; i < gencut_ ; i++ ) {
    bool inECALgap = fabs(allSortedGenParticles[i].eta()) > 1.4442 && fabs(allSortedGenParticles[i].eta()) < 1.556;
    if ( (fabs(allSortedGenParticles[i].eta()) > genEtaAcc) || inECALgap ) {
      //edm::LogWarning("EmDQM") << "Throwing event away. Gen particle with pdgId="<< allSortedGenParticles[i].pdgId() <<"; et="<< allSortedGenParticles[i].et() <<"; and eta="<< allSortedGenParticles[i].eta() <<" beyond acceptance.";
      keepEvent=false;
      break;
    }
  }
  if (!keepEvent) {
    return;
  }


  // It was an event worth keeping. Continue.

  //  Fill the bin labeled "Total"                          //
  //   This will be the number of events looked at.         //
  total->Fill(numOfHLTCollectionLabels+0.5);
  totalmatch->Fill(numOfHLTCollectionLabels+0.5);


  //               Fill generator info                      //
  // the gencut_ highest Et generator objects of the preselected type are our matches

  std::vector<reco::Particle> sortedGen;
  for(edm::View<reco::Candidate>::const_iterator genpart = cutCounter->begin(); genpart != cutCounter->end();genpart++){
    reco::Particle tmpcand(  genpart->charge(), genpart->p4(), genpart->vertex(),genpart->pdgId(),genpart->status() );
    sortedGen.push_back(tmpcand);
  }
  std::sort(sortedGen.begin(),sortedGen.end(),pTComparator_ );

  // Now the collection of gen particles is sorted by pt.
  // So, remove all particles from the collection so that we 
  // only have the top "1 thru gencut_" particles in it
  sortedGen.erase(sortedGen.begin()+gencut_,sortedGen.end());
  if (gencut_ != sortedGen.size() ){
    return;
  }


  for (unsigned int i = 0 ; i < gencut_ ; i++ ) {
    etgen ->Fill( sortedGen[i].et()  ); //validity has been implicitily checked by the cut on gencut_ above
    etagen->Fill( sortedGen[i].eta() );
    phigen->Fill( sortedGen[i].phi() );
  } // END of loop over Generated particles
  if (gencut_ >= reqNum) total->Fill(numOfHLTCollectionLabels+1.5); // this isn't really needed anymore keep for backward comp.
  if (gencut_ >= reqNum) totalmatch->Fill(numOfHLTCollectionLabels+1.5); // this isn't really needed anymore keep for backward comp.
          

  //            Loop over filter modules                    //
  for(unsigned int n=0; n < numOfHLTCollectionLabels ; n++) {
    // These numbers are from the Parameter Set, such as:
    //   theHLTOutputTypes = cms.uint32(100)
    switch(theHLTOutputTypes[n]) 
    {
      case trigger::TriggerL1NoIsoEG: // Non-isolated Level 1
        fillHistos<l1extra::L1EmParticleCollection>(triggerObj,event,n,sortedGen);break;
      case trigger::TriggerL1IsoEG: // Isolated Level 1
        fillHistos<l1extra::L1EmParticleCollection>(triggerObj,event,n,sortedGen);break;
      case trigger::TriggerPhoton: // Photon 
        fillHistos<reco::RecoEcalCandidateCollection>(triggerObj,event,n,sortedGen);break;
      case trigger::TriggerElectron: // Electron 
        fillHistos<reco::ElectronCollection>(triggerObj,event,n,sortedGen);break;
      case trigger::TriggerCluster: // TriggerCluster
        fillHistos<reco::RecoEcalCandidateCollection>(triggerObj,event,n,sortedGen);break;
      default: 
        throw(cms::Exception("Release Validation Error") << "HLT output type not implemented: theHLTOutputTypes[n]" );
    }
  } // END of loop over filter modules
}


// fillHistos                                                                 //
//   Called by analyze method.                                                //
template <class T> void EmDQM::fillHistos(edm::Handle<trigger::TriggerEventWithRefs>& triggerObj,const edm::Event& iEvent ,unsigned int n,std::vector<reco::Particle>& sortedGen)
{
  std::vector<edm::Ref<T> > recoecalcands;
  if ( ( triggerObj->filterIndex(theHLTCollectionLabels[n])>=triggerObj->size() )){ // only process if available
    return;
  }

  //      Retrieve saved filter objects                     //
  triggerObj->getObjects(triggerObj->filterIndex(theHLTCollectionLabels[n]),theHLTOutputTypes[n],recoecalcands);
  //Danger: special case, L1 non-isolated
  // needs to be merged with L1 iso
  if (theHLTOutputTypes[n] == trigger::TriggerL1NoIsoEG){
    std::vector<edm::Ref<T> > isocands;
    triggerObj->getObjects(triggerObj->filterIndex(theHLTCollectionLabels[n]),trigger::TriggerL1IsoEG,isocands);
    if (isocands.size()>0) 
      {
        for (unsigned int i=0; i < isocands.size(); i++)
          recoecalcands.push_back(isocands[i]);
      }
  } // END of if theHLTOutputTypes == 82
  

  if (recoecalcands.size() < 1){ // stop if no object passed the previous filter
    return;
  }


  if (recoecalcands.size() >= reqNum ) 
    total->Fill(n+0.5);


  // check for validity                            //
  // prevents crash in CMSSW_3_1_0_pre6            //
  for (unsigned int j=0; j<recoecalcands.size(); j++){
    if(!( recoecalcands.at(j).isAvailable())){
      edm::LogError("EmDQM") << "Event content inconsistent: TriggerEventWithRefs contains invalid Refs" << std::endl << "invalid refs for: " << theHLTCollectionLabels[n].label();
      return;
    }
  }

  // Loop over the Generated Particles, and find the        //
  // closest HLT object match.                              //
  for (unsigned int i=0; i < gencut_; i++) {
    math::XYZVector currentGenParticleMomentum = sortedGen[i].momentum();

    float closestDeltaR = 0.5;
    int closestEcalCandIndex = -1;
    for (unsigned int j=0; j<recoecalcands.size(); j++) {
      float deltaR = DeltaR(recoecalcands[j]->momentum(),currentGenParticleMomentum);

      if (deltaR < closestDeltaR) {
        closestDeltaR = deltaR;
        closestEcalCandIndex = j;
      }
    }

    // If an HLT object was found within some delta-R
    // of this gen particle, store it in a histogram
    if ( closestEcalCandIndex >= 0 ) {
      histEtOfHltObjMatchToGen[n] ->Fill( recoecalcands[closestEcalCandIndex]->et()  );
      histEtaOfHltObjMatchToGen[n]->Fill( recoecalcands[closestEcalCandIndex]->eta() );
      histPhiOfHltObjMatchToGen[n]->Fill( recoecalcands[closestEcalCandIndex]->phi() );
      
      // Also store isolation info
      if (n+1 < numOfHLTCollectionLabels){ // can't plot beyond last
        if (plotiso[n+1] ){  // only plot if requested in config
          for (unsigned int j =  0 ; j < isoNames[n+1].size() ;j++  ){
            edm::Handle<edm::AssociationMap<edm::OneToValue< T , float > > > depMap; 
            iEvent.getByLabel(isoNames[n+1].at(j),depMap);
            if (depMap.isValid()){ //Map may not exist if only one candidate passes a double filter
              typename edm::AssociationMap<edm::OneToValue< T , float > >::const_iterator mapi = depMap->find(recoecalcands[closestEcalCandIndex]);
              if (mapi!=depMap->end()) {  // found candidate in isolation map! 
                histEtaIsoOfHltObjMatchToGen[n+1]->Fill( recoecalcands[closestEcalCandIndex]->eta(),mapi->val);
                histPhiIsoOfHltObjMatchToGen[n+1]->Fill( recoecalcands[closestEcalCandIndex]->phi(),mapi->val);
                histEtIsoOfHltObjMatchToGen[n+1] ->Fill( recoecalcands[closestEcalCandIndex]->et(), mapi->val);
              }
            }
          }
        }
      }
    } // END of if closestEcalCandIndex >= 0
  }



  //  Loop over all HLT objects in this filter step, and    //
  //  fill histograms.                                      //
  //  bool foundAllMatches = false;
  //  unsigned int numOfHLTobjectsMatched = 0;
  for (unsigned int i=0; i<recoecalcands.size(); i++) {
    /*
    // See if this HLT object has a gen-level match
    float closestGenParticleDr = 99.0;
    for(unsigned int j =0; j < gencut_; j++) {
      math::XYZVector currentGenParticle = sortedGen[j].momentum();

      double currentDeltaR = DeltaR(recoecalcands[i]->momentum(),currentGenParticle);
      if ( currentDeltaR < closestGenParticleDr ) {
        closestGenParticleDr = currentDeltaR;
      }
    }
    // If this HLT object did not have a gen particle match, go to next HLT object
    if ( !(fabs(closestGenParticleDr < 0.3)) ) continue;
 
    numOfHLTobjectsMatched++;
    if (numOfHLTobjectsMatched >= gencut_) foundAllMatches=true;
    */
    // Fill HLT object histograms
    ethist[n] ->Fill(recoecalcands[i]->et() );
    etahist[n]->Fill(recoecalcands[i]->eta() );
    phihist[n]->Fill(recoecalcands[i]->phi() );

    //  Plot isolation variables (show the not-yet-cut        //
    //  isolation, i.e. associated to next filter)            //
    if ( n+1 < numOfHLTCollectionLabels ) { // can't plot beyond last
      if (plotiso[n+1]) {
        for (unsigned int j =  0 ; j < isoNames[n+1].size() ;j++  ){
          edm::Handle<edm::AssociationMap<edm::OneToValue< T , float > > > depMap; 
          iEvent.getByLabel(isoNames[n+1].at(j),depMap);
          if (depMap.isValid()){ //Map may not exist if only one candidate passes a double filter
            typename edm::AssociationMap<edm::OneToValue< T , float > >::const_iterator mapi = depMap->find(recoecalcands[i]);
            if (mapi!=depMap->end()){  // found candidate in isolation map! 
              etahistiso[n+1]->Fill(recoecalcands[i]->eta(),mapi->val);
              phihistiso[n+1]->Fill(recoecalcands[i]->phi(),mapi->val);
              ethistiso[n+1]->Fill(recoecalcands[i]->et(),mapi->val);
            }
          }
        }
      }
    } // END of if n+1 < then the number of hlt collections
  }


  //        Fill mc matched objects into histograms         //
  unsigned int mtachedMcParts = 0;
  float mindist=0.3;
  if(n==0) mindist=0.5; //low L1-resolution => allow wider matching 
  for(unsigned int i =0; i < gencut_; i++){
    //match generator candidate    
    bool matchThis= false;
    math::XYZVector candDir=sortedGen[i].momentum();
    unsigned int closest = 0;
    double closestDr = 1000.;
    for(unsigned int trigOb = 0 ; trigOb < recoecalcands.size(); trigOb++){
      double dr = DeltaR(recoecalcands[trigOb]->momentum(),candDir);
      if (dr < closestDr) {
        closestDr = dr;
        closest = trigOb;
      }
      if (closestDr > mindist) { // it's not really a "match" if it's that far away
        closest = -1;
      } else {
        mtachedMcParts++;
        matchThis = true;
      }
    }
    if ( !matchThis ) continue; // only plot matched candidates
    // fill coordinates of mc particle matching trigger object
    ethistmatch[n] ->Fill( sortedGen[i].et()  );
    etahistmatch[n]->Fill( sortedGen[i].eta() );
    phihistmatch[n]->Fill( sortedGen[i].phi() );
    //  Plot isolation variables (show the not-yet-cut        //
    //  isolation, i.e. associated to next filter)            //
    if (n+1 < numOfHLTCollectionLabels){ // can't plot beyond last
      if (plotiso[n+1] ){  // only plot if requested in config
        for (unsigned int j =  0 ; j < isoNames[n+1].size() ;j++  ){
          edm::Handle<edm::AssociationMap<edm::OneToValue< T , float > > > depMap; 
          iEvent.getByLabel(isoNames[n+1].at(j),depMap);
          if (depMap.isValid()){ //Map may not exist if only one candidate passes a double filter
            typename edm::AssociationMap<edm::OneToValue< T , float > >::const_iterator mapi = depMap->find(recoecalcands[closest]);
            if (mapi!=depMap->end()){  // found candidate in isolation map! 
              etahistisomatch[n+1]->Fill(sortedGen[i].eta(),mapi->val);
              phihistisomatch[n+1]->Fill(sortedGen[i].phi(),mapi->val);
              ethistisomatch[n+1]->Fill(sortedGen[i].et(),mapi->val);
            }
          }
        }
      }
    } // END of if n+1 < then the number of hlt collections
  }
  // fill total mc matched efficiency
  if (mtachedMcParts >= reqNum ) 
    totalmatch->Fill(n+0.5);
  

}


//      method called once each job just after ending the event loop          //
void EmDQM::endJob(){

}

DEFINE_FWK_MODULE(EmDQM);