RecoParticleFlow/Benchmark/src/PFMETBenchmark.cc - master - githubmirror/cmssw

RecoParticleFlow/Benchmark/src/PFMETBenchmark.cc
627 строк25 KB
Marcel Andre Schneider
Remove a few redundant incudes.
16 июл 2019, 19:47
16 июл 2019, 19:47785d00e
#include "RecoParticleFlow/Benchmark/interface/PFMETBenchmark.h"

// preprocessor macro for booking 1d histos with DQMStore -or- bare Root
#define BOOK1D(name, title, nbinsx, lowx, highx) \
  h##name =                                      \
      dbe_ ? dbe_->book1D(#name, title, nbinsx, lowx, highx)->getTH1F() : new TH1F(#name, title, nbinsx, lowx, highx)

// preprocessor macro for booking 2d histos with DQMStore -or- bare Root
#define BOOK2D(name, title, nbinsx, lowx, highx, nbinsy, lowy, highy)                              \
  h##name = dbe_ ? dbe_->book2D(#name, title, nbinsx, lowx, highx, nbinsy, lowy, highy)->getTH2F() \
                 : new TH2F(#name, title, nbinsx, lowx, highx, nbinsy, lowy, highy)

// all versions OK
// preprocesor macro for setting axis titles
#define SETAXES(name, xtitle, ytitle)    \
  h##name->GetXaxis()->SetTitle(xtitle); \
  h##name->GetYaxis()->SetTitle(ytitle)

/*#define SET2AXES(name,xtitle,ytitle) \
  hE##name->GetXaxis()->SetTitle(xtitle); hE##name->GetYaxis()->SetTitle(ytitle);  hB##name->GetXaxis()->SetTitle(xtitle); hB##name->GetYaxis()->SetTitle(ytitle)
*/

#define PT (plotAgainstReco_) ? "reconstructed P_{T}" : "generated P_{T}"

using namespace reco;
using namespace std;

PFMETBenchmark::PFMETBenchmark() : file_(nullptr) {}

PFMETBenchmark::~PFMETBenchmark() {
  if (file_)
    file_->Close();
}

void PFMETBenchmark::write() {
  // Store the DAQ Histograms
  if (!outputFile_.empty()) {
    if (dbe_)
      dbe_->save(outputFile_);
    // use bare Root if no DQM (FWLite applications)
    else if (file_) {
      file_->Write(outputFile_.c_str());
      cout << "Benchmark output written to file " << outputFile_.c_str() << endl;
      file_->Close();
    }
  } else
    cout << "No output file specified (" << outputFile_ << "). Results will not be saved!" << endl;
}

void PFMETBenchmark::setup(
    string Filename, bool debug, bool plotAgainstReco, string benchmarkLabel_, DQMStore* dbe_store) {
  debug_ = debug;
  plotAgainstReco_ = plotAgainstReco;
  outputFile_ = Filename;
  file_ = nullptr;
  dbe_ = dbe_store;
  // print parameters
  //cout<< "PFMETBenchmark Setup parameters =============================================="<<endl;
  cout << "Filename to write histograms " << Filename << endl;
  cout << "PFMETBenchmark debug " << debug_ << endl;
  cout << "plotAgainstReco " << plotAgainstReco_ << endl;
  cout << "benchmarkLabel " << benchmarkLabel_ << endl;

  // Book histogram

  // Establish DQM Store
  string path = "PFTask/Benchmarks/" + benchmarkLabel_ + "/";
  if (plotAgainstReco)
    path += "Reco";
  else
    path += "Gen";
  if (dbe_) {
    dbe_->setCurrentFolder(path);
  } else {
    file_ = new TFile(outputFile_.c_str(), "recreate");
    //    TTree * tr = new TTree("PFTast");
    //    tr->Branch("Benchmarks/ParticleFlow")
    cout << "Info: DQM is not available to provide data storage service. Using TFile to save histograms. " << endl;
  }

  // delta Pt or E quantities for Barrel
  BOOK1D(MEX, "Particle Flow", 400, -200, 200);
  BOOK1D(DeltaMEX, "Particle Flow", 400, -200, 200);
  BOOK1D(DeltaMET, "Particle Flow", 400, -200, 200);
  BOOK1D(DeltaPhi, "Particle Flow", 1000, -3.2, 3.2);
  BOOK1D(DeltaSET, "Particle Flow", 400, -200, 200);
  BOOK2D(SETvsDeltaMET, "Particle Flow", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(SETvsDeltaSET, "Particle Flow", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  profileSETvsSETresp = new TProfile("#DeltaPFSET / trueSET vs trueSET", "", 200, 0.0, 1000.0, -1.0, 1.0);
  profileMETvsMETresp = new TProfile("#DeltaPFMET / trueMET vs trueMET", "", 50, 0.0, 200.0, -1.0, 1.0);

  BOOK1D(CaloMEX, "Calorimeter", 400, -200, 200);
  BOOK1D(DeltaCaloMEX, "Calorimeter", 400, -200, 200);
  BOOK1D(DeltaCaloMET, "Calorimeter", 400, -200, 200);
  BOOK1D(DeltaCaloPhi, "Calorimeter", 1000, -3.2, 3.2);
  BOOK1D(DeltaCaloSET, "Calorimeter", 400, -200, 200);
  BOOK2D(CaloSETvsDeltaCaloMET, "Calorimeter", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(CaloSETvsDeltaCaloSET, "Calorimeter", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  profileCaloSETvsCaloSETresp = new TProfile("#DeltaCaloSET / trueSET vs trueSET", "", 200, 0.0, 1000.0, -1.0, 1.0);
  profileCaloMETvsCaloMETresp = new TProfile("#DeltaCaloMET / trueMET vs trueMET", "", 200, 0.0, 200.0, -1.0, 1.0);

  BOOK2D(DeltaPFMETvstrueMET, "Particle Flow", 500, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(DeltaCaloMETvstrueMET, "Calorimeter", 500, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(DeltaPFPhivstrueMET, "Particle Flow", 500, 0.0, 1000.0, 400, -3.2, 3.2);
  BOOK2D(DeltaCaloPhivstrueMET, "Calorimeter", 500, 0.0, 1000.0, 400, -3.2, 3.2);
  BOOK2D(CaloMETvstrueMET, "Calorimeter", 500, 0.0, 1000.0, 500, 0.0, 1000.0);
  BOOK2D(PFMETvstrueMET, "Particle Flow", 500, 0.0, 1000.0, 500, 0.0, 1000.0);

  BOOK2D(DeltaCaloMEXvstrueSET, "Calorimeter", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(DeltaPFMEXvstrueSET, "Particle Flow", 200, 0.0, 1000.0, 400, -200.0, 200.0);

  BOOK1D(TrueMET, "MC truth", 500, 0.0, 1000.0);
  BOOK1D(CaloMET, "Calorimeter", 500, 0.0, 1000.0);
  BOOK1D(PFMET, "Particle Flow", 500, 0.0, 1000.0);

  BOOK1D(TCMEX, "Track Corrected", 400, -200, 200);
  BOOK1D(DeltaTCMEX, "Track Corrected", 400, -200, 200);
  BOOK1D(DeltaTCMET, "Track Corrected", 400, -200, 200);
  BOOK1D(DeltaTCPhi, "Track Corrected", 1000, -3.2, 3.2);
  BOOK1D(DeltaTCSET, "Track Corrected", 400, -200, 200);
  BOOK2D(TCSETvsDeltaTCMET, "Track Corrected", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(TCSETvsDeltaTCSET, "Track Corrected", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  profileTCSETvsTCSETresp = new TProfile("#DeltaTCSET / trueSET vs trueSET", "", 200, 0.0, 1000.0, -1.0, 1.0);
  profileTCMETvsTCMETresp = new TProfile("#DeltaTCMET / trueMET vs trueMET", "", 200, 0.0, 200.0, -1.0, 1.0);

  BOOK1D(TCMET, "Track Corrected", 500, 0, 1000);
  BOOK2D(DeltaTCMETvstrueMET, "Track Corrected", 500, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(DeltaTCPhivstrueMET, "Track Corrected", 500, 0.0, 1000.0, 400, -3.2, 3.2);

  BOOK2D(DeltaTCMEXvstrueSET, "Track Corrected", 200, 0.0, 1000.0, 400, -200.0, 200.0);
  BOOK2D(TCMETvstrueMET, "Track Corrected", 200, 0.0, 1000.0, 500, 0.0, 1000.0);

  //BOOK1D(meanPF,    "Mean PFMEX", 100, 0.0, 1600.0);
  //BOOK1D(meanCalo,  "Mean CaloMEX", 100, 0.0, 1600.0);
  //BOOK1D(sigmaPF,   "#sigma(PFMEX)", 100, 0.0, 1600.0);
  //BOOK1D(sigmaCalo, "#sigma(CaloMEX)", 100, 0.0, 1600.0);
  //BOOK1D(rmsPF,     "RMS(PFMEX)", 100, 0.0, 1600.0);
  //BOOK1D(rmsCalo,   "RMS(CaloMEX)", 100, 0.0, 1600.0);

  // Set Axis Titles
  // delta Pt or E quantities for Barrel and Endcap
  SETAXES(MEX, "MEX", "Events");
  SETAXES(DeltaMEX, "#DeltaMEX", "Events");
  SETAXES(DeltaMET, "#DeltaMET", "Events");
  SETAXES(DeltaPhi, "#Delta#phi", "Events");
  SETAXES(DeltaSET, "#DeltaSET", "Events");
  SETAXES(SETvsDeltaMET, "SET", "#DeltaMET");
  SETAXES(SETvsDeltaSET, "SET", "#DeltaSET");

  SETAXES(DeltaPFMETvstrueMET, "trueMET", "#DeltaMET");
  SETAXES(DeltaCaloMETvstrueMET, "trueMET", "#DeltaCaloMET");
  SETAXES(DeltaPFPhivstrueMET, "trueMET", "#DeltaPFPhi");
  SETAXES(DeltaCaloPhivstrueMET, "trueMET", "#DeltaCaloPhi");
  SETAXES(CaloMETvstrueMET, "trueMET", "CaloMET");
  SETAXES(PFMETvstrueMET, "trueMET", "PFMET");
  SETAXES(DeltaCaloMEXvstrueSET, "trueSET", "#DeltaCaloMEX");
  SETAXES(DeltaPFMEXvstrueSET, "trueSET", "#DeltaPFMEX");
  SETAXES(TrueMET, "trueMET", "Events");
  SETAXES(CaloMET, "CaloMET", "Events");
  SETAXES(PFMET, "PFMET", "Events");
  SETAXES(TCMET, "TCMET", "Events");

  SETAXES(CaloMEX, "MEX", "Events");
  SETAXES(DeltaCaloMEX, "#DeltaMEX", "Events");
  SETAXES(DeltaCaloMET, "#DeltaMET", "Events");
  SETAXES(DeltaCaloPhi, "#Delta#phi", "Events");
  SETAXES(DeltaCaloSET, "#DeltaSET", "Events");
  SETAXES(CaloSETvsDeltaCaloMET, "SET", "#DeltaMET");
  SETAXES(CaloSETvsDeltaCaloSET, "SET", "#DeltaSET");

  SETAXES(TCMEX, "MEX", "Events");
  SETAXES(DeltaTCMEX, "#DeltaMEX", "Events");
  SETAXES(DeltaTCMET, "#DeltaMET", "Events");
  SETAXES(DeltaTCPhi, "#Delta#phi", "Events");
  SETAXES(DeltaTCSET, "#DeltaSET", "Events");
  SETAXES(TCSETvsDeltaTCMET, "SET", "#DeltaMET");
  SETAXES(TCSETvsDeltaTCSET, "SET", "#DeltaSET");

  SETAXES(DeltaTCMETvstrueMET, "trueMET", "#DeltaTCMET");
  SETAXES(DeltaTCPhivstrueMET, "trueMET", "#DeltaTCPhi");

  SETAXES(DeltaTCMEXvstrueSET, "trueSET", "#DeltaTCMEX");
  SETAXES(TCMETvstrueMET, "trueMET", "TCMET");
}

//void PFMETBenchmark::process(const reco::PFMETCollection& pfMets, const reco::GenMETCollection& genMets) {
void PFMETBenchmark::process(const reco::PFMETCollection& pfMets,
                             const reco::GenParticleCollection& genParticleList,
                             const reco::CaloMETCollection& caloMets,
                             const reco::METCollection& tcMets) {
  calculateQuantities(pfMets, genParticleList, caloMets, tcMets);
  if (debug_) {
    cout << "  =========PFMET  " << rec_met << ", " << rec_phi << endl;
    cout << "  =========GenMET " << true_met << ", " << true_phi << endl;
    cout << "  =========CaloMET " << calo_met << ", " << calo_phi << endl;
    cout << "  =========TCMET " << tc_met << ", " << tc_phi << endl;
  }
  // fill histograms
  hTrueMET->Fill(true_met);
  // delta Pt or E quantities
  // PF
  hDeltaMET->Fill(rec_met - true_met);
  hMEX->Fill(rec_mex);
  hMEX->Fill(rec_mey);
  hDeltaMEX->Fill(rec_mex - true_mex);
  hDeltaMEX->Fill(rec_mey - true_mey);
  hDeltaPhi->Fill(rec_phi - true_phi);
  hDeltaSET->Fill(rec_set - true_set);
  if (true_met > 5.0)
    hSETvsDeltaMET->Fill(rec_set, rec_met - true_met);
  else
    hSETvsDeltaMET->Fill(rec_set, rec_mex - true_mex);
  hSETvsDeltaSET->Fill(rec_set, rec_set - true_set);
  if (true_met > 5.0)
    profileMETvsMETresp->Fill(true_met, (rec_met - true_met) / true_met);
  profileSETvsSETresp->Fill(true_set, (rec_set - true_set) / true_set);

  hDeltaPFMETvstrueMET->Fill(true_met, rec_met - true_met);
  hDeltaPFPhivstrueMET->Fill(true_met, rec_phi - true_phi);
  hPFMETvstrueMET->Fill(true_met, rec_met);
  hPFMET->Fill(rec_met);

  hDeltaPFMEXvstrueSET->Fill(true_set, rec_mex - true_mex);
  hDeltaPFMEXvstrueSET->Fill(true_set, rec_mey - true_mey);

  // Calo
  hDeltaCaloMET->Fill(calo_met - true_met);
  hCaloMEX->Fill(calo_mex);
  hCaloMEX->Fill(calo_mey);
  hDeltaCaloMEX->Fill(calo_mex - true_mex);
  hDeltaCaloMEX->Fill(calo_mey - true_mey);
  hDeltaCaloPhi->Fill(calo_phi - true_phi);
  hDeltaCaloSET->Fill(calo_set - true_set);
  if (true_met > 5.0)
    hCaloSETvsDeltaCaloMET->Fill(calo_set, calo_met - true_met);
  else
    hCaloSETvsDeltaCaloMET->Fill(calo_set, calo_mex - true_mex);
  hCaloSETvsDeltaCaloSET->Fill(calo_set, calo_set - true_set);
  if (true_met > 5.0)
    profileCaloMETvsCaloMETresp->Fill(true_met, (calo_met - true_met) / true_met);
  profileCaloSETvsCaloSETresp->Fill(true_set, (calo_set - true_set) / true_set);

  hDeltaCaloMETvstrueMET->Fill(true_met, calo_met - true_met);
  hDeltaCaloPhivstrueMET->Fill(true_met, calo_phi - true_phi);
  hCaloMETvstrueMET->Fill(true_met, calo_met);
  hCaloMET->Fill(calo_met);

  hDeltaCaloMEXvstrueSET->Fill(true_set, calo_mex - true_mex);
  hDeltaCaloMEXvstrueSET->Fill(true_set, calo_mey - true_mey);

  // TC
  hDeltaTCMET->Fill(tc_met - true_met);
  hTCMET->Fill(tc_met);
  hTCMEX->Fill(tc_mex);
  hTCMEX->Fill(tc_mey);
  hDeltaTCMEX->Fill(tc_mex - true_mex);
  hDeltaTCMEX->Fill(tc_mey - true_mey);
  hDeltaTCPhi->Fill(tc_phi - true_phi);
  hDeltaTCSET->Fill(tc_set - true_set);
  if (true_met > 5.0)
    hTCSETvsDeltaTCMET->Fill(tc_set, tc_met - true_met);
  else
    hTCSETvsDeltaTCMET->Fill(tc_set, tc_mex - true_mex);
  hTCSETvsDeltaTCSET->Fill(tc_set, tc_set - true_set);
  if (true_met > 5.0)
    profileTCMETvsTCMETresp->Fill(true_met, (tc_met - true_met) / true_met);
  profileTCSETvsTCSETresp->Fill(true_set, (tc_set - true_set) / true_set);

  hDeltaTCMETvstrueMET->Fill(true_met, tc_met - true_met);
  hDeltaTCPhivstrueMET->Fill(true_met, tc_phi - true_phi);
  hDeltaTCMEXvstrueSET->Fill(true_set, tc_mex - true_mex);
  hDeltaTCMEXvstrueSET->Fill(true_set, tc_mey - true_mey);
  hTCMETvstrueMET->Fill(true_met, tc_met);
}

void PFMETBenchmark::calculateQuantities(const reco::PFMETCollection& pfMets,
                                         const reco::GenParticleCollection& genParticleList,
                                         const reco::CaloMETCollection& caloMets,
                                         const reco::METCollection& tcMets) {
  const reco::PFMET& pfm = pfMets[0];
  const reco::CaloMET& cm = caloMets[0];
  const reco::MET& tcm = tcMets[0];

  double trueMEY = 0.0;
  double trueMEX = 0.0;
  ;
  true_set = 0.0;
  ;

  //  for( genParticle = genParticleList.begin(); genParticle != genParticleList.end(); genParticle++ )
  for (unsigned i = 0; i < genParticleList.size(); i++) {
    if (genParticleList[i].status() == 1 && fabs(genParticleList[i].eta()) < 5.0) {
      if (std::abs(genParticleList[i].pdgId()) == 12 || std::abs(genParticleList[i].pdgId()) == 14 ||
          std::abs(genParticleList[i].pdgId()) == 16 || std::abs(genParticleList[i].pdgId()) < 7 ||
          std::abs(genParticleList[i].pdgId()) == 21) {
        trueMEX += genParticleList[i].px();
        trueMEY += genParticleList[i].py();
      } else {
        true_set += genParticleList[i].pt();
      }
    }
  }
  true_mex = -trueMEX;
  true_mey = -trueMEY;
  true_met = sqrt(trueMEX * trueMEX + trueMEY * trueMEY);
  true_phi = atan2(trueMEY, trueMEX);
  rec_met = pfm.pt();
  rec_mex = pfm.px();
  rec_mex = pfm.py();
  rec_phi = pfm.phi();
  rec_set = pfm.sumEt();
  calo_met = cm.pt();
  calo_mex = cm.px();
  calo_mey = cm.py();
  calo_phi = cm.phi();
  calo_set = cm.sumEt();
  tc_met = tcm.pt();
  tc_mex = tcm.px();
  tc_mey = tcm.py();
  tc_phi = tcm.phi();
  tc_set = tcm.sumEt();

  if (debug_) {
    cout << "  =========PFMET  " << rec_met << ", " << rec_phi << endl;
    cout << "  =========trueMET " << true_met << ", " << true_phi << endl;
    cout << "  =========CaloMET " << calo_met << ", " << calo_phi << endl;
    cout << "  =========TCMET " << tc_met << ", " << tc_phi << endl;
  }
}

void PFMETBenchmark::calculateQuantities(const reco::PFMETCollection& pfMets,
                                         const reco::GenParticleCollection& genParticleList,
                                         const reco::CaloMETCollection& caloMets,
                                         const reco::METCollection& tcMets,
                                         const std::vector<reco::CaloJet>& caloJets,
                                         const std::vector<reco::CaloJet>& corr_caloJets) {
  const reco::PFMET& pfm = pfMets[0];
  const reco::CaloMET& cm = caloMets[0];
  const reco::MET& tcm = tcMets[0];

  double trueMEY = 0.0;
  double trueMEX = 0.0;
  ;
  true_set = 0.0;
  ;

  //  for( genParticle = genParticleList.begin(); genParticle != genParticleList.end(); genParticle++ )
  for (unsigned i = 0; i < genParticleList.size(); i++) {
    if (genParticleList[i].status() == 1 && fabs(genParticleList[i].eta()) < 5.0) {
      if (std::abs(genParticleList[i].pdgId()) == 12 || std::abs(genParticleList[i].pdgId()) == 14 ||
          std::abs(genParticleList[i].pdgId()) == 16 || std::abs(genParticleList[i].pdgId()) < 7 ||
          std::abs(genParticleList[i].pdgId()) == 21) {
        trueMEX += genParticleList[i].px();
        trueMEY += genParticleList[i].py();
      } else {
        true_set += genParticleList[i].pt();
      }
    }
  }
  true_mex = -trueMEX;
  true_mey = -trueMEY;
  true_met = sqrt(trueMEX * trueMEX + trueMEY * trueMEY);
  true_phi = atan2(trueMEY, trueMEX);
  rec_met = pfm.pt();
  rec_mex = pfm.px();
  rec_mex = pfm.py();
  rec_phi = pfm.phi();
  rec_set = pfm.sumEt();

  // propagation of the JEC to the caloMET:
  double caloJetCorPX = 0.0;
  double caloJetCorPY = 0.0;

  for (unsigned int caloJetc = 0; caloJetc < caloJets.size(); ++caloJetc) {
    //std::cout << "caloJets[" << caloJetc << "].pt() = " << caloJets[caloJetc].pt() << std::endl;
    //std::cout << "caloJets[" << caloJetc << "].phi() = " << caloJets[caloJetc].phi() << std::endl;
    //std::cout << "caloJets[" << caloJetc << "].eta() = " << caloJets[caloJetc].eta() << std::endl;
    //}
    for (unsigned int corr_caloJetc = 0; corr_caloJetc < corr_caloJets.size(); ++corr_caloJetc) {
      //std::cout << "corr_caloJets[" << corr_caloJetc << "].pt() = " << corr_caloJets[corr_caloJetc].pt() << std::endl;
      //std::cout << "corr_caloJets[" << corr_caloJetc << "].phi() = " << corr_caloJets[corr_caloJetc].phi() << std::endl;
      //std::cout << "corr_caloJets[" << corr_caloJetc << "].eta() = " << corr_caloJets[corr_caloJetc].eta() << std::endl;
      //}
      Float_t DeltaPhi = corr_caloJets[corr_caloJetc].phi() - caloJets[caloJetc].phi();
      Float_t DeltaEta = corr_caloJets[corr_caloJetc].eta() - caloJets[caloJetc].eta();
      Float_t DeltaR2 = DeltaPhi * DeltaPhi + DeltaEta * DeltaEta;
      if (DeltaR2 < 0.0001 && caloJets[caloJetc].pt() > 20.0) {
        caloJetCorPX += (corr_caloJets[corr_caloJetc].px() - caloJets[caloJetc].px());
        caloJetCorPY += (corr_caloJets[corr_caloJetc].py() - caloJets[caloJetc].py());
      }
    }
  }
  double corr_calomet =
      sqrt((cm.px() - caloJetCorPX) * (cm.px() - caloJetCorPX) + (cm.py() - caloJetCorPY) * (cm.py() - caloJetCorPY));
  calo_met = corr_calomet;
  calo_mex = cm.px() - caloJetCorPX;
  calo_mey = cm.py() - caloJetCorPY;
  calo_phi = atan2((cm.py() - caloJetCorPY), (cm.px() - caloJetCorPX));
  //calo_met = cm.pt();
  //calo_mex = cm.px();
  //calo_mey = cm.py();
  //calo_phi = cm.phi();

  calo_set = cm.sumEt();
  tc_met = tcm.pt();
  tc_mex = tcm.px();
  tc_mey = tcm.py();
  tc_phi = tcm.phi();
  tc_set = tcm.sumEt();

  if (debug_) {
    cout << "  =========PFMET  " << rec_met << ", " << rec_phi << endl;
    cout << "  =========trueMET " << true_met << ", " << true_phi << endl;
    cout << "  =========CaloMET " << calo_met << ", " << calo_phi << endl;
    cout << "  =========TCMET " << tc_met << ", " << tc_phi << endl;
  }
}

//double fitf(double *x, double *par)
//{
//  double fitval = sqrt( par[0]*par[0] +
//			par[1]*par[1]*(x[0]-par[3]) +
//			par[2]*par[2]*(x[0]-par[3])*(x[0]-par[3]) );
//  return fitval;
//}

void PFMETBenchmark::analyse() {
  //Define fit functions and histograms
  //TF1* func1 = new TF1("fit1", fitf, 0, 40, 4);
  //TF1* func2 = new TF1("fit2", fitf, 0, 40, 4);
  //TF1* func3 = new TF1("fit3", fitf, 0, 40, 4);
  //TF1* func4 = new TF1("fit4", fitf, 0, 40, 4);

  //fit gaussian to Delta MET corresponding to different slices in MET, store fit values (mean,sigma) in histos
  ////FitSlicesInY(hSETvsDeltaMET, hmeanPF, hrmsPF, false, 1); //set option flag for RMS or gaussian
  ////FitSlicesInY(hSETvsDeltaMET, hmeanPF, hsigmaPF, true, 1); //set option flag for RMS or gaussian
  ////FitSlicesInY(hCaloSETvsDeltaCaloMET, hmeanCalo, hrmsCalo, false, 2);
  ////FitSlicesInY(hCaloSETvsDeltaCaloMET, hmeanCalo, hsigmaCalo, true, 2);

  ////SETAXES(meanPF,    "SET", "Mean(MEX)");
  ////SETAXES(meanCalo,  "SET", "Mean(MEX)");
  ////SETAXES(sigmaPF,   "SET", "#sigma(MEX)");
  ////SETAXES(sigmaCalo, "SET", "#sigma(MEX)");
  ////SETAXES(rmsPF,     "SET", "RMS(MEX)");
  ////SETAXES(rmsCalo,   "SET", "RMS(MEX)");

  // Make the MET resolution versus SET plot
  /*
  TCanvas* canvas_MetResVsRecoSet = new TCanvas("MetResVsRecoSet", "MET Sigma vs Reco SET", 500,500);
  hsigmaPF->SetStats(0); 
  func1->SetLineColor(1); 
  func1->SetParNames("Noise", "Stochastic", "Constant", "Offset");
  func1->SetParameters(10.0, 0.8, 0.1, 100.0);
  hsigmaPF->Fit("fit1", "", "", 100.0, 900.0);
  func2->SetLineColor(2); 
  func2->SetParNames("Noise", "Stochastic", "Constant", "Offset");
  func2->SetParameters(10.0, 0.8, 0.1, 100.0);
  hsigmaCalo->Fit("fit2", "", "", 100.0, 900.0);
  func3->SetLineColor(4); 
  func3->SetParNames("Noise", "Stochastic", "Constant", "Offset");
  func3->SetParameters(10.0, 0.8, 0.1, 100.0);
  hrmsPF->Fit("fit3", "", "", 100.0, 900.0);
  func4->SetLineColor(6); 
  func4->SetParNames("Noise", "Stochastic", "Constant", "Offset");
  func4->SetParameters(10.0, 0.8, 0.1, 100.0);
  hrmsCalo->Fit("fit4", "", "", 100.0, 900.0);
  (hsigmaPF->GetYaxis())->SetRangeUser( 0.0, 50.0);
  hsigmaPF->SetLineWidth(2); 
  hsigmaPF->SetLineColor(1); 
  hsigmaPF->Draw();
  hsigmaCalo->SetLineWidth(2);
  hsigmaCalo->SetLineColor(2);
  hsigmaCalo->Draw("SAME");
  hrmsPF->SetLineWidth(2);
  hrmsPF->SetLineColor(4);
  hrmsPF->Draw("SAME");  
  hrmsCalo->SetLineWidth(2);
  hrmsCalo->SetLineColor(6);
  hrmsCalo->Draw("SAME");
  */

  // Make the SET response versus SET plot
  /*
  TCanvas* canvas_SetRespVsTrueSet = new TCanvas("SetRespVsTrueSet", "SET Response vs True SET", 500,500);
  profileSETvsSETresp->SetStats(0); 
  profileSETvsSETresp->SetStats(0); 
  (profileSETvsSETresp->GetYaxis())->SetRangeUser(-1.0, 1.0);
  profileSETvsSETresp->SetLineWidth(2); 
  profileSETvsSETresp->SetLineColor(4); 
  profileSETvsSETresp->Draw();
  profileCaloSETvsCaloSETresp->SetLineWidth(2); 
  profileCaloSETvsCaloSETresp->SetLineColor(2); 
  profileCaloSETvsCaloSETresp->Draw("SAME");
  */

  // Make the MET response versus MET plot
  /*
  TCanvas* canvas_MetRespVsTrueMet = new TCanvas("MetRespVsTrueMet", "MET Response vs True MET", 500,500);
  profileMETvsMETresp->SetStats(0); 
  profileMETvsMETresp->SetStats(0); 
  (profileMETvsMETresp->GetYaxis())->SetRangeUser(-1.0, 1.0);
  profileMETvsMETresp->SetLineWidth(2); 
  profileMETvsMETresp->SetLineColor(4); 
  profileMETvsMETresp->Draw();
  profileCaloMETvsCaloMETresp->SetLineWidth(2); 
  profileCaloMETvsCaloMETresp->SetLineColor(2); 
  profileCaloMETvsCaloMETresp->Draw("SAME");
  */

  //print the resulting plots to file
  /*
  canvas_MetResVsRecoSet->Print("MetResVsRecoSet.ps");
  canvas_SetRespVsTrueSet->Print("SetRespVsTrueSet.ps");
  canvas_MetRespVsTrueMet->Print("MetRespVsTrueMet.ps");  
  */
}

//void PFMETBenchmark::FitSlicesInY(TH2F* h, TH1F* mean, TH1F* sigma, bool doGausFit, int type )
//{
//  TAxis *fXaxis = h->GetXaxis();
//  TAxis *fYaxis = h->GetYaxis();
//  Int_t nbins  = fXaxis->GetNbins();
//
//  //std::cout << "nbins = " << nbins << std::endl;
//
//  Int_t binmin = 1;
//  Int_t binmax = nbins;
//  TString option = "QNR";
//  TString opt = option;
//  opt.ToLower();
//  Float_t ngroup = 1;
//  ngroup = 1;
//
//  //std::cout << "fYaxis->GetXmin() = " << fYaxis->GetXmin() << std::endl;
//  //std::cout << "fYaxis->GetXmax() = " << fYaxis->GetXmax() << std::endl;
//
//  //default is to fit with a gaussian
//  TF1 *f1 = 0;
//  if (f1 == 0)
//    {
//      //f1 = (TF1*)gROOT->GetFunction("gaus");
//      if (f1 == 0) f1 = new TF1("gaus","gaus", fYaxis->GetXmin(), fYaxis->GetXmax());
//      else         f1->SetRange( fYaxis->GetXmin(), fYaxis->GetXmax());
//    }
//  Int_t npar = f1->GetNpar();
//
//  //std::cout << "npar = " << npar << std::endl;
//
//  if (npar <= 0) return;
//
//  Double_t *parsave = new Double_t[npar];
//  f1->GetParameters(parsave);
//
////  //Create one histogram for each function parameter
//  Int_t ipar;
//  TH1F **hlist = new TH1F*[npar];
//  char *name   = new char[2000];
//  char *title  = new char[2000];
//  const TArrayD *bins = fXaxis->GetXbins();
//  for( ipar=0; ipar < npar; ipar++ )
//    {
//      if( ipar == 1 )
//	if( type == 1 )   sprintf(name,"meanPF");
//	else              sprintf(name,"meanCalo");
//      else
//	if( doGausFit )
//	  if( type == 1 ) sprintf(name,"sigmaPF");
//	  else            sprintf(name,"sigmaCalo");
//	else
//	  if( type == 1 ) sprintf(name,"rmsPF");
//	  else            sprintf(name,"rmsCalo");
//      if( type == 1 )     sprintf(title,"Particle Flow");
//      else                sprintf(title,"Calorimeter");
//      delete gDirectory->FindObject(name);
//      if (bins->fN == 0)
//	hlist[ipar] = new TH1F(name,title, nbins, fXaxis->GetXmin(), fXaxis->GetXmax());
//      else
//	hlist[ipar] = new TH1F(name,title, nbins,bins->fArray);
//      hlist[ipar]->GetXaxis()->SetTitle(fXaxis->GetTitle());
//    }
//  sprintf(name,"test_chi2");
//  delete gDirectory->FindObject(name);
//  TH1F *hchi2 = new TH1F(name,"chisquare", nbins, fXaxis->GetXmin(), fXaxis->GetXmax());
//  hchi2->GetXaxis()->SetTitle(fXaxis->GetTitle());
//
//  //Loop on all bins in X, generate a projection along Y
//  Int_t bin;
//  Int_t nentries;
//  for( bin = (Int_t) binmin; bin <= (Int_t) binmax; bin += (Int_t)ngroup )
//    {
//      TH1F *hpy = (TH1F*) h->ProjectionY("_temp", (Int_t) bin, (Int_t) (bin + ngroup - 1), "e");
//      if(hpy == 0) continue;
//      nentries = Int_t( hpy->GetEntries() );
//      if(nentries == 0 ) {delete hpy; continue;}
//      f1->SetParameters(parsave);
//      hpy->Fit( f1, opt.Data() );
//      Int_t npfits = f1->GetNumberFitPoints();
//      //cout << "bin = " << bin << "; Npfits = " << npfits << "; npar = " << npar << endl;
//      if( npfits > npar )
//	{
//	  Int_t biny = bin + (Int_t)ngroup/2;
//	  for( ipar=0; ipar < npar; ipar++ )
//	    {
//	      if( doGausFit ) hlist[ipar]->Fill( fXaxis->GetBinCenter(biny), f1->GetParameter(ipar) );
//	      else            hlist[ipar]->Fill( fXaxis->GetBinCenter(biny), hpy->GetRMS() );
//	      //cout << "bin[" << bin << "]: RMS = " << hpy->GetRMS() << "; sigma = " << f1->GetParameter(ipar) << endl;
//	      hlist[ipar]->SetBinError( biny, f1->GetParError(ipar) );
//	    }
//	  hchi2->Fill( fXaxis->GetBinCenter(biny), f1->GetChisquare()/(npfits-npar) );
//	}
//      delete hpy;
//      ngroup += ngroup*0.2;//0.1  //used for non-uniform binning
//    }
//  *mean = *hlist[1];
//  *sigma = *hlist[2];
//  cout << "Entries = " << hlist[0]->GetEntries() << endl;
//}

double PFMETBenchmark::mpi_pi(double angle) {
  const double pi = 3.14159265358979323;
  const double pi2 = pi * 2.;
  while (angle > pi)
    angle -= pi2;
  while (angle < -pi)
    angle += pi2;
  return angle;
}