void renameFolders(TString inputFile, TString outputFile, TString originalDirectory, TString newDirectory)
{
TFile f1(inputFile);
TFile *f2 = new TFile(outputFile,"update");
f1.cd(originalDirectory);
TDirectory *old = gDirectory;
old->ReadAll();
f2->cd();
f2->mkdir(newDirectory);
f2->cd(newDirectory);
old->GetList()->Write();
f2->Close();
}
int looperCR2lep( analysis* myAnalysis, sample* mySample, int nEvents = -1, bool fast = true) {
// Benchmark
TBenchmark *bmark = new TBenchmark();
bmark->Start("benchmark");
// Setup
TChain *chain = mySample->GetChain();
TString sampleName = mySample->GetLabel();
const int nSigRegs = myAnalysis->GetSigRegionsAll().size();
const int nVariations = mySample->IsData() ? 0 : myAnalysis->GetSystematics(false).size();
bool isFastsim = mySample->IsSignal();
cout << "\nSample: " << sampleName.Data() << " (CR2L";
if( myContext.GetJesDir() == contextVars::kUp ) cout << ", JES up";
else if( myContext.GetJesDir() == contextVars::kDown ) cout << ", JES down";
cout << ")" << endl;
myContext.SetUseRl( true );
/////////////////////////////////////////////////////////
// Histograms
TDirectory *rootdir = gDirectory->GetDirectory("Rint:"); // Use TDirectories to assist in memory management
TDirectory *histdir = new TDirectory( "histdir", "histdir", "", rootdir );
TDirectory *systdir = new TDirectory( "systdir", "systdir", "", rootdir );
TDirectory *zerodir = new TDirectory( "zerodir", "zerodir", "", rootdir );
TH1::SetDefaultSumw2();
TH1D* h_bkgtype_sum[nSigRegs][nVariations+1];
TH1D* h_evttype_sum[nSigRegs][nVariations+1];
TH2D* h_sigyields[nSigRegs][nVariations+1];
TH1D* h_bkgtype[nSigRegs][nVariations+1]; // per-file versions for zeroing
TH1D* h_evttype[nSigRegs][nVariations+1];
TH1D *h_mt[nSigRegs];
TH1D *h_met[nSigRegs];
TH1D *h_mt2w[nSigRegs];
TH1D *h_chi2[nSigRegs];
TH1D *h_htratio[nSigRegs];
TH1D *h_mindphi[nSigRegs];
TH1D *h_ptb1[nSigRegs];
TH1D *h_drlb1[nSigRegs];
TH1D *h_ptlep[nSigRegs];
TH1D *h_metht[nSigRegs];
TH1D *h_dphilw[nSigRegs];
TH1D *h_njets[nSigRegs];
TH1D *h_nbtags[nSigRegs];
TH1D *h_ptj1[nSigRegs];
TH1D *h_j1btag[nSigRegs];
TH1D *h_modtop[nSigRegs];
TH1D *h_dphilmet[nSigRegs];
TH1D *h_mlb[nSigRegs];
vector<TString> regNames = myAnalysis->GetSigRegionLabelsAll();
vector<sigRegion*> sigRegions = myAnalysis->GetSigRegionsAll();
vector<systematic*> variations = myAnalysis->GetSystematics(false);
for( int i=0; i<nSigRegs; i++ ) {
TString plotLabel = sampleName + "_" + regNames.at(i);
systdir->cd();
for( int j=1; j<=nVariations; j++ ) {
TString varName = variations.at(j-1)->GetNameLong();
h_bkgtype_sum[i][j] = new TH1D( "bkgtype_" + plotLabel + "_" + varName, "Yield by background type", 5, 0.5, 5.5);
h_evttype_sum[i][j] = new TH1D( "evttype_" + regNames.at(i) + "_" + varName, "Yield by event type", 6, 0.5, 6.5);
h_sigyields[i][j] = new TH2D( "sigyields_" + regNames.at(i) + "_" + varName, "Signal yields by mass point", 37,99,1024, 19,-1,474 );
}
histdir->cd();
h_bkgtype_sum[i][0] = new TH1D( "bkgtype_" + plotLabel, "Yield by background type", 5, 0.5, 5.5);
h_evttype_sum[i][0] = new TH1D( "evttype_" + regNames.at(i), "Yield by event type", 6, 0.5, 6.5);
h_sigyields[i][0] = new TH2D( "sigyields_" + regNames.at(i), "Signal yields by mass point", 37,99,1024, 19,-1,474 );
h_mt[i] = new TH1D( "mt_" + plotLabel, "Transverse mass", 80, 0, 800);
h_met[i] = new TH1D( "met_" + plotLabel, "MET", 40, 0, 1000);
h_mt2w[i] = new TH1D( "mt2w_" + plotLabel, "MT2W", 50, 0, 500);
h_chi2[i] = new TH1D( "chi2_" + plotLabel, "Hadronic #chi^{2}", 50, 0, 15);
h_htratio[i] = new TH1D( "htratio_" + plotLabel, "H_{T} ratio", 50, 0, 1);
h_mindphi[i] = new TH1D( "mindphi_" + plotLabel, "min #Delta#phi(j12,MET)", 63, 0, 3.15);
h_ptb1[i] = new TH1D( "ptb1_" + plotLabel, "p_{T} (b1)", 50, 0, 500);
h_drlb1[i] = new TH1D( "drlb1_" + plotLabel, "#DeltaR (lep, b1)", 50, 0, 5);
h_ptlep[i] = new TH1D( "ptlep_" + plotLabel, "p_{T} (lep)", 50, 0, 500);
h_metht[i] = new TH1D( "metht_" + plotLabel, "MET/sqrt(HT)", 50, 0, 100);
h_dphilw[i] = new TH1D( "dphilw_" + plotLabel, "#Delta#phi (lep,W)", 63, 0, 3.15);
h_njets[i] = new TH1D( "njets_" + plotLabel, "Number of jets", 16, -0.5, 15.5);
h_nbtags[i] = new TH1D( "nbtags_" + plotLabel, "Number of b-tags", 7, -0.5, 6.5);
h_ptj1[i] = new TH1D( "ptj1_" + plotLabel, "Leading jet p_{T}", 40, 0, 1000);
h_j1btag[i] = new TH1D( "j1btag_" + plotLabel, "Is leading jet b-tagged?", 2, -0.5, 1.5);
h_modtop[i] = new TH1D( "modtop_" + plotLabel, "Modified topness", 30, -15., 15.);
h_dphilmet[i] = new TH1D( "dphilmet_"+ plotLabel, "#Delta#phi (lep1, MET)", 63, 0., 3.15);
h_mlb[i] = new TH1D( "mlb_" + plotLabel, "M_{lb}", 50, 0., 500.);
for( int j=0; j<=nVariations; j++ ) {
TAxis* axis = h_bkgtype_sum[i][j]->GetXaxis();
axis->SetBinLabel( 1, "2+lep" );
axis->SetBinLabel( 2, "1lepW" );
axis->SetBinLabel( 3, "1lepTop" );
axis->SetBinLabel( 4, "ZtoNuNu" );
axis->SetBinLabel( 5, "Other" );
axis = h_evttype_sum[i][j]->GetXaxis();
axis->SetBinLabel( 1, "Data" );
axis->SetBinLabel( 2, "Signals" );
axis->SetBinLabel( 3, "2+lep" );
axis->SetBinLabel( 4, "1lepW" );
axis->SetBinLabel( 5, "1lepTop" );
axis->SetBinLabel( 6, "ZtoNuNu" );
}
}
TH1D *h_yields_sum = new TH1D( Form("srYields_%s", sampleName.Data()), "Yield by signal region", nSigRegs, 0.5, float(nSigRegs)+0.5);
for( int i=0; i<nSigRegs; i++ ) h_yields_sum->GetXaxis()->SetBinLabel( i+1, regNames.at(i) );
// Set up copies of histograms, in order to zero out negative yields
zerodir->cd();
TH1D* h_yields = (TH1D*)h_yields_sum->Clone( "tmp_" + TString(h_yields_sum->GetName()) );
for( int i=0; i<nSigRegs; i++ ) {
for( int j=0; j<=nVariations; j++ ) {
h_bkgtype[i][j] = (TH1D*)h_bkgtype_sum[i][j]->Clone( "tmp_" + TString(h_bkgtype_sum[i][j]->GetName()) );
h_evttype[i][j] = (TH1D*)h_evttype_sum[i][j]->Clone( "tmp_" + TString(h_evttype_sum[i][j]->GetName()) );
}
}
// Set up cutflow variables
double yield_total = 0;
double yield_unique = 0;
double yield_filter = 0;
double yield_vtx = 0;
double yield_1goodlep = 0;
double yield_lepSel = 0;
double yield_2lepveto = 0;
double yield_trkVeto = 0;
double yield_2lepCR = 0;
double yield_tauVeto = 0;
double yield_njets = 0;
double yield_1bjet = 0;
double yield_METcut = 0;
double yield_MTcut = 0;
double yield_dPhi = 0;
double yield_chi2 = 0;
int yGen_total = 0;
int yGen_unique = 0;
int yGen_filter = 0;
int yGen_vtx = 0;
int yGen_1goodlep = 0;
int yGen_lepSel = 0;
int yGen_2lepveto = 0;
int yGen_trkVeto = 0;
int yGen_tauVeto = 0;
int yGen_2lepCR = 0;
int yGen_njets = 0;
int yGen_1bjet = 0;
int yGen_METcut = 0;
int yGen_MTcut = 0;
int yGen_dPhi = 0;
int yGen_chi2 = 0;
////////////////////////////////////////////////////////////////////
// Set up data-specific filters
if( mySample->IsData() ) {
set_goodrun_file_json( "reference-files/Cert_271036-284044_13TeV_23Sep2016ReReco_Collisions16_JSON.txt" );
duplicate_removal::clear_list();
}
/////////////////////////////////////////////////////////////////////
// Loop over events to Analyze
unsigned int nEventsTotal = 0;
unsigned int nEventsChain = chain->GetEntries();
if( nEvents >= 0 ) nEventsChain = nEvents;
TObjArray *listOfFiles = chain->GetListOfFiles();
TIter fileIter(listOfFiles);
TFile *currentFile = 0;
// File Loop
while ( (currentFile = (TFile*)fileIter.Next()) ) {
// Get File Content
TFile file( currentFile->GetTitle() );
TString filename = file.GetName();
TTree *tree = (TTree*)file.Get("t");
if(fast) TTreeCache::SetLearnEntries(10);
if(fast) tree->SetCacheSize(128*1024*1024);
cms3.Init(tree);
// Load event weight histograms
TH2F* hNEvts = (TH2F*)file.Get("histNEvts");
TH3D* hCounterSMS = (TH3D*)file.Get("h_counterSMS");
TH1D* hCounter = (TH1D*)file.Get("h_counter");
myHelper.Setup( isFastsim, hCounter, hNEvts, hCounterSMS );
// Reset zeroing histograms
for( int i=0; i<nSigRegs; i++ ) {
for( int j=0; j<=nVariations; j++ ) {
h_bkgtype[i][j]->Reset();
h_evttype[i][j]->Reset();
}
}
h_yields->Reset();
// Loop over Events in current file
if( nEventsTotal >= nEventsChain ) continue;
unsigned int nEventsTree = tree->GetEntriesFast();
for( unsigned int event = 0; event < nEventsTree; ++event) {
// Get Event Content
if( nEventsTotal >= nEventsChain ) continue;
if(fast) tree->LoadTree(event);
cms3.GetEntry(event);
++nEventsTotal;
// Progress
CMS3::progress( nEventsTotal, nEventsChain );
////////////////////////////////////////////////////////////////////////////////////////////////////////
// Analysis Code
// ---------------------------------------------------------------------------------------------------//
///////////////////////////////////////////////////////////////
// Special filters to more finely categorize background events
if( sampleName == "tt2l" && gen_nfromtleps_() != 2 ) continue; //Require 2 leps from top in "tt2l" events
else if( sampleName == "tt1l" && gen_nfromtleps_() != 1 ) continue; //Require 1 lep from top in "tt1l" events
// Stitch W+NJets samples together by removing the MET<200 events from the non-nupT samples
if( sampleName.Contains("wjets") && filename.Contains("JetsToLNu_madgraph") && nupt()>=200. ) continue;
//FastSim anomalous event filter
if( isFastsim && !context::filt_fastsimjets() ) continue;
if( !mySample->PassSelections() ) continue;
/////////////////////////////////
// Set event weight
double evtWeight = 1.;
// Data should have a weight of 1.0
if( is_data() || mySample->IsData() ) evtWeight = 1.;
else {
// Weight background MC using scale1fb
evtWeight = myAnalysis->GetLumi() * scale1fb();
// Weight signal MC using xsec and nEvents
if( mySample->IsSignal() ) {
myHelper.PrepSignal();
double nEvtsSample = hNEvts->GetBinContent( hNEvts->FindBin( mass_stop(), mass_lsp() ) );
evtWeight = myAnalysis->GetLumi() * 1000. * xsec() / nEvtsSample;
}
// Apply scale factors to correct the shape of the MC
evtWeight *= myHelper.TrigEff2l();
evtWeight *= myHelper.LepSF();
evtWeight *= myHelper.BtagSF();
if( isFastsim ) evtWeight *= myHelper.LepSFfastsim();
if( !isFastsim ) evtWeight *= myHelper.PileupSF();
if( mySample->GetLabel() == "tt2l" || filename.Contains("W_5f_powheg_pythia8") ) {
evtWeight *= myHelper.MetResSF();
// evtWeight *= myHelper.TopSystPtSF();
}
else if( mySample->GetLabel() == "tt1l" || mySample->GetLabel() == "wjets" ) evtWeight *= myHelper.MetResSF();
if( mySample->GetLabel() == "tt2l" || mySample->GetLabel() == "tt1l" || mySample->IsSignal() ) evtWeight *= myHelper.ISRnJetsSF();
// Correct event weight when samples are merged together
if( filename.Contains("ttbar_diLept_madgraph_pythia8_ext1_25ns") ) evtWeight *= 23198554./(23198554.+5689986.);
else if( filename.Contains("ttbar_diLept_madgraph_pythia8_25ns") ) evtWeight *= 5689986./(23198554.+5689986.);
else if( filename.Contains("t_tW_5f_powheg_pythia8_noHadDecays_25ns") ) evtWeight *= 4473156./(4473156.+3145334.);
else if( filename.Contains("t_tW_5f_powheg_pythia8_noHadDecays_ext1_25ns") ) evtWeight *= 3145334./(4473156.+3145334.);
else if( filename.Contains("t_tbarW_5f_powheg_pythia8_noHadDecays_25ns") ) evtWeight *= 5029568./(5029568.+3146940.);
else if( filename.Contains("t_tbarW_5f_powheg_pythia8_noHadDecays_ext1_25ns") ) evtWeight *= 3146940./(5029568.+3146940.);
}
// Count the number of events processed
yield_total += evtWeight;
yGen_total++;
// Remove duplicate events in data
if( is_data() ) {
duplicate_removal::DorkyEventIdentifier id( run(), evt(), ls() );
if( is_duplicate(id) ) continue;
yield_unique += evtWeight;
yGen_unique++;
}
// MET filters, bad event filters, and triggers for data
if( is_data() ) {
if( !goodrun( run(), ls() ) ) continue;
if( !filt_met() ) continue;
if( !filt_badChargedCandidateFilter() ) continue;
if( !filt_badMuonFilter() ) continue;
if( !context::filt_jetWithBadMuon() ) continue;
if( !filt_pfovercalomet() ) continue;
if( !HLT_MET() && !HLT_MET110_MHT110() && !HLT_MET120_MHT120() ) {
if( !(HLT_SingleEl() && (abs(lep1_pdgid())==11 || abs(lep2_pdgid())==11) ) &&
!(HLT_SingleMu() && (abs(lep1_pdgid())==13 || abs(lep2_pdgid())==13) ) ) continue;
}
yield_filter += evtWeight;
yGen_filter++;
}
// First vertex must be good
if( nvtxs() < 1 ) continue;
yield_vtx += evtWeight;
yGen_vtx++;
// Must have at least 1 good lepton
if( ngoodleps() < 1 ) continue;
yield_1goodlep += evtWeight;
yGen_1goodlep++;
// Lep 1 must pass lepton selections
// if( abs(lep1_pdgid())==11 ) {
// if( lep1_p4().pt() < 20. ) continue;
// if( fabs(lep1_p4().eta()) > 1.4442 ) continue;
// if( !lep1_passMediumID() ) continue;
// }
// else if( abs(lep1_pdgid())==13 ) {
// if( lep1_p4().pt() < 20. ) continue;
// if( fabs(lep1_p4().eta()) > 2.4 ) continue;
// if( !lep1_passTightID() ) continue;
// }
yield_lepSel += evtWeight;
yGen_lepSel++;
///////////////////
// Make 2-lepton CR
int countGoodLeps = 0;
// Count the number of veto leptons
if( nvetoleps() >= 2 && lep2_p4().pt() > 10. ) countGoodLeps += nvetoleps();
if( countGoodLeps > 1 ) {
yield_2lepveto += evtWeight;
yGen_2lepveto++;
}
// If we fail the track veto, count another good lepton
// if( !PassTrackVeto() ) {
// countGoodLeps++;
// yield_trkVeto += evtWeight;
// yGen_trkVeto++;
// }
// If we fail the tau veto, count another good lepton
// if( !PassTauVeto() ) {
// countGoodLeps++;
// yield_tauVeto += evtWeight;
// yGen_tauVeto++;
// }
if( countGoodLeps < 2 ) continue;
yield_2lepCR += evtWeight;
yGen_2lepCR++;
////////////////////
////////////////////
// N-jet requirement
if( context::ngoodjets() < 2 ) continue;
yield_njets += evtWeight;
yGen_njets++;
j1pt = context::ak4pfjets_p4().at(0).pt();
// B-tag requirement
if( context::ngoodbtags() < 1 ) continue;
yield_1bjet += evtWeight;
yGen_1bjet++;
j1_isBtag = context::ak4pfjets_passMEDbtag().at(0);
// Baseline MET cut (with 2nd lepton pT added to MET)
if( context::Met() < 250. ) continue;
yield_METcut += evtWeight;
yGen_METcut++;
// MT cut (with 2nd lepton pT added to MET)
if( context::MT_met_lep() < 150. ) continue;
yield_MTcut += evtWeight;
yGen_MTcut++;
// Min delta-phi between MET and j1/j2 (with 2nd lepton pT added to MET)
if( context::Mindphi_met_j1_j2() < 0.5 ) continue;
yield_dPhi += evtWeight;
yGen_dPhi++;
// Chi^2 cut
// if( hadronic_top_chi2() >= 10. ) continue;
yield_chi2 += evtWeight;
yGen_chi2++;
//////////////////////////////////////////////////////////
// Classify event based on number of leptons / neutrinos
// Order of evaluation matters, because some events fall into multiple categories
int bkgType = -99;
if( filename.Contains("ZZTo2L2Nu") && isZtoNuNu() ) bkgType = 1; // Force ZZto2L2Nu to be 2lep
else if( isZtoNuNu() ) bkgType = 4; // Z to nu nu
else if( is2lep() ) bkgType = 1; // 2 or more leptons
else if( is1lepFromTop() ) bkgType = 3; // 1 lepton from top quark
else if( is1lepFromW() ) bkgType = 2; // 1 lepton from a W not from top
else bkgType = 5; // Other
int evtType = -99;
if( mySample->IsData() ) evtType = 1;
else if( mySample->IsSignal() ) evtType = 2;
else evtType = 2+bkgType;
// Quickly calculate some variables
double metSqHT = context::Met() / sqrt( context::ak4_HT() );
const TVector3 lepVec( lep1_p4().x(), lep1_p4().y(), lep1_p4().z() );
const TVector3 metVec( context::Met()*cos(context::MetPhi()), context::Met()*sin(context::MetPhi()), 0 );
const TVector3 wVec = lepVec + metVec;
double dPhiLepW = fabs( lepVec.DeltaPhi(wVec) );
double drLepLeadb = ROOT::Math::VectorUtil::DeltaR( lep1_p4(), context::ak4pfjets_leadMEDbjet_p4() );
lep1pt = lep1_p4().Pt();
myMlb = context::Mlb_closestb();
///////////////////////////////////////////
// Signal region cuts and histo filling
// If the event passes the SR cuts, store which background type this event is, and fill histograms
for( int i=0; i<nSigRegs; i++ ) {
if( !sigRegions.at(i)->PassAllCuts() ) continue;
// Make some corrections that depend on the signal region
double fillWeight = evtWeight;
bool is_corridor = sigRegions.at(i)->GetLabel().Contains("corr");
myHelper.SetCorridor( is_corridor );
if( !is_data() && is_corridor ) fillWeight *= sfhelp::MetResCorrectionCorridor();
else if( !is_data() && !is_corridor ) fillWeight *= sfhelp::BtagCorrectionTight();
h_bkgtype[i][0]->Fill( bkgType, fillWeight );
h_evttype[i][0]->Fill( evtType, fillWeight );
if( mySample->IsSignal() ) h_sigyields[i][0]->Fill( mass_stop(), mass_lsp(), fillWeight );
h_mt[i]->Fill( context::MT_met_lep(), fillWeight );
h_met[i]->Fill( context::Met(), fillWeight );
h_mt2w[i]->Fill( context::MT2W(), fillWeight );
h_chi2[i]->Fill( hadronic_top_chi2(), fillWeight );
h_htratio[i]->Fill( context::ak4_htratiom(), fillWeight );
h_mindphi[i]->Fill( context::Mindphi_met_j1_j2(), fillWeight );
h_ptb1[i]->Fill( context::ak4pfjets_leadMEDbjet_p4().pt(), fillWeight );
h_drlb1[i]->Fill( drLepLeadb, fillWeight );
h_ptlep[i]->Fill( lep1_p4().pt(), fillWeight );
h_metht[i]->Fill( metSqHT, fillWeight );
h_dphilw[i]->Fill( dPhiLepW, fillWeight );
h_njets[i]->Fill( context::ngoodjets(), fillWeight );
h_nbtags[i]->Fill( context::ngoodbtags(), fillWeight );
h_ptj1[i]->Fill( j1pt, fillWeight );
h_j1btag[i]->Fill( j1_isBtag, fillWeight );
h_modtop[i]->Fill( context::TopnessMod(), fillWeight );
h_dphilmet[i]->Fill( context::lep1_dphiMET(), fillWeight );
h_mlb[i]->Fill( myMlb, fillWeight );
h_yields->Fill( double(i+1), fillWeight );
// Special systematic variation histograms
for( int j=1; j<=nVariations; j++ ) {
h_bkgtype[i][j]->Fill( bkgType, fillWeight * variations.at(j-1)->GetWeight() );
h_evttype[i][j]->Fill( evtType, fillWeight * variations.at(j-1)->GetWeight() );
if( mySample->IsSignal() ) h_sigyields[i][j]->Fill( mass_stop(), mass_lsp(), fillWeight * variations.at(j-1)->GetWeight() );
}
}
// ---------------------------------------------------------------------------------------------------//
////////////////////////////////////////////////////////////////////////////////////////////////////////
} //End of loop over events in file
// Clean Up
delete tree;
file.Close();
// Zero negative values in each signal region
for( int i=0; i<nSigRegs; i++ ) {
for( int j=0; j<=nVariations; j++ ) {
bool negsFound = false;
// First zero any decay modes with negative yields
for( int k=1; k<= h_bkgtype[i][j]->GetNbinsX(); k++ ) {
if( h_bkgtype[i][j]->GetBinContent(k) < 0.0 ) {
h_bkgtype[i][j]->SetBinContent(k, 0.);
h_bkgtype[i][j]->SetBinError(k, 0.);
negsFound = true;
}
if( h_evttype[i][j]->GetBinContent(k+2) < 0.0 ) {
h_evttype[i][j]->SetBinContent(k+2, 0.);
h_evttype[i][j]->SetBinError(k+2, 0.);
}
}
// If any negative yields were found in any decay mode, recalculate the total yield
if( j==0 && negsFound ) {
double newYield, newErr;
newYield = h_bkgtype[i][0]->IntegralAndError( 0, -1, newErr );
h_yields->SetBinContent(i+1, newYield);
h_yields->SetBinError(i+1, newErr);
}
// Add zeroed histograms to total histograms
h_bkgtype_sum[i][j]->Add( h_bkgtype[i][j] );
h_evttype_sum[i][j]->Add( h_evttype[i][j] );
}
}
h_yields_sum->Add( h_yields );
} // End loop over files in the chain
cout << "Cutflow yields: (yield) (gen evts)" << endl;
printf("Total number of events: %10.2f %9i\n", yield_total , yGen_total );
if( mySample->IsData() ) {
printf("Events passing duplicate removal: %10.2f %9i\n", yield_unique , yGen_unique );
printf("Events passing filters and trigger: %10.2f %9i\n", yield_filter , yGen_filter );
}
printf("Events with 1st vertex good: %10.2f %9i\n", yield_vtx , yGen_vtx );
printf("Events with at least 1 good lepton: %10.2f %9i\n", yield_1goodlep , yGen_1goodlep );
printf("Events passing lepton selection: %10.2f %9i\n", yield_lepSel , yGen_lepSel );
printf("\nEvents passing 2-lep requirement: %10.2f %9i\n", yield_2lepCR , yGen_2lepCR );
printf(" Events with veto lepton: %10.2f %9i\n", yield_2lepveto , yGen_2lepveto );
printf(" Events with isolated track: %10.2f %9i\n", yield_trkVeto , yGen_trkVeto );
printf(" Events with identified tau: %10.2f %9i\n\n", yield_tauVeto , yGen_tauVeto );
printf("Events with at least 2 jets: %10.2f %9i\n", yield_njets , yGen_njets );
printf("Events with at least 1 b-tag: %10.2f %9i\n", yield_1bjet , yGen_1bjet );
printf("Events with MET > 250 GeV: %10.2f %9i\n", yield_METcut , yGen_METcut );
printf("Events with MT > 150 GeV: %10.2f %9i\n", yield_MTcut , yGen_MTcut );
printf("Events with min dPhi > 0.5: %10.2f %9i\n", yield_dPhi , yGen_dPhi );
// printf("Events with chi2 < 10: %10.2f %9i\n", yield_chi2 , yGen_chi2 );
printf("Yield after preselection: %10.2f %9i\n", yield_chi2 , yGen_chi2 );
if ( nEventsChain != nEventsTotal ) {
cout << Form( "ERROR: number of events from files (%d) is not equal to total number of events (%d)", nEventsChain, nEventsTotal ) << endl;
}
///////////////////////////////////////////////////////////////////////////////
// Store histograms and clean them up
TFile* plotfile = new TFile( myAnalysis->GetPlotFileName(), "READ");
TFile* systfile = new TFile( myAnalysis->GetSystFileName(), "READ");
TFile* sourcefile;
// Certain histograms are cumulative across multiple samples. For those histograms, add what the
// looper has just collected to the cumulative version stored in our output files
for( int j=0; j<=nVariations; j++ ) {
if( j==0 ) sourcefile = plotfile;
else sourcefile = systfile;
for( int i=0; i<nSigRegs; i++ ) {
// Build up cumulative histo of SUSY scan yields
TH2D* hTemp2 = (TH2D*)sourcefile->Get( h_sigyields[i][j]->GetName() );
if( hTemp2 != 0 ) h_sigyields[i][j]->Add( hTemp2 );
// Build up cumulative histo of yields by signal/background type
TH1D* hTemp = (TH1D*)sourcefile->Get( h_evttype_sum[i][j]->GetName() );
if( hTemp != 0 ) h_evttype_sum[i][j]->Add( hTemp );
}
}
delete plotfile;
delete systfile;
// Take all histograms in histdir and write them to plotfile
plotfile = new TFile( myAnalysis->GetPlotFileName(), "UPDATE");
plotfile->cd();
histdir->GetList()->Write( "", TObject::kOverwrite );
delete plotfile;
// Take all histograms in systdir and write them to systfile
systfile = new TFile( myAnalysis->GetSystFileName(), "UPDATE");
systfile->cd();
systdir->GetList()->Write( "", TObject::kOverwrite );
delete systfile;
// Cleanup
zerodir->Close();
histdir->Close();
systdir->Close();
// return
bmark->Stop("benchmark");
cout << endl;
cout << nEventsTotal << " Events Processed" << endl;
cout << "------------------------------" << endl;
cout << "CPU Time: " << Form( "%.01f", bmark->GetCpuTime("benchmark") ) << endl;
cout << "Real Time: " << Form( "%.01f", bmark->GetRealTime("benchmark") ) << endl;
cout << endl;
delete bmark;
return 0;
}
void higgsAna::Loop()
{
// In a ROOT session, you can do:
// Root > .L higgsAna.C
// Root > higgsAna t
// Root > t.GetEntry(12); // Fill t data members with entry number 12
// Root > t.Show(); // Show values of entry 12
// Root > t.Show(16); // Read and show values of entry 16
// Root > t.Loop(); // Loop on all entries
//
// This is the loop skeleton where:
// jentry is the global entry number in the chain
// ientry is the entry number in the current Tree
// Note that the argument to GetEntry must be:
// jentry for TChain::GetEntry
// ientry for TTree::GetEntry and TBranch::GetEntry
//
// To read only selected branches, Insert statements like:
// METHOD1:
// fChain->SetBranchStatus("*",0); // disable all branches
// fChain->SetBranchStatus("branchname",1); // activate branchname
// METHOD2: replace line
// fChain->GetEntry(jentry); //read all branches
//by b_branchname->GetEntry(ientry); //read only this branch
if (fChain == 0) return;
#include "Include/higgsDeclaration.h"
Int_t compteur[8] = {0, 0, 0, 0, 0, 0, 0, 0};
Int_t compteurEE = 0;
Int_t compteurMuMu = 0;
TDirectory *dir = gDirectory;
TFile *file = new TFile(outputFileName, "RECREATE");
Long64_t nentries = fChain->GetEntriesFast();
Long64_t nbytes = 0, nb = 0;
Bool_t ee;
Bool_t mumu;
Bool_t isl1EB;
Bool_t isl2EB;
Bool_t isThereBJet;
Float_t l1_eta;
Float_t l2_eta;
Float_t l1_pt;
Float_t l2_pt;
Float_t l1_CRI;
Float_t l2_CRI;
Float_t ll_px;
Float_t ll_py;
Float_t ll_pt;
Float_t ll_m;
Float_t jet_eta;
Float_t jet_pt;
Float_t finWeight;
// event loop
// nentries = 100;
for (Long64_t jentry=0; jentry<nentries;jentry++) {
if (jentry % 10000 == 0) cout << jentry << endl;
Long64_t ientry = LoadTree(jentry);
if (ientry < 0) break;
nb = fChain->GetEntry(jentry); nbytes += nb;
compteur[0]++;
// reweighting for pile up
finWeight = 1;
if (!isData) finWeight *= weight;
// if (Cut(ientry) < 0) continue;
//---------- compute the kinematic ----------
l1_pt = sqrt(l1_px * l1_px + l1_py * l1_py);
l2_pt = sqrt(l2_px * l2_px + l2_py * l2_py);
ll_px = l1_px + l2_px;
ll_py = l1_py + l2_py;
ll_pt = sqrt(ll_px * ll_px + ll_py * ll_py);
l1_eta = 0.5*log((l1_en+l1_pz)/(l1_en-l1_pz));
l2_eta = 0.5*log((l2_en+l2_pz)/(l2_en-l2_pz));
isl1EB = 0;
isl2EB = 0;
if (fabs(l1_eta) < 1.4442){
isl1EB = 1;
//if(abs(l1_id) == 11) l1_iso1 -= 1.;
}
if (fabs(l2_eta) < 1.4442){
isl2EB = 1;
//if(abs(l2_id) == 11) l2_iso1 -= 1.;
}
l1_CRI = (l1_iso1 + l1_iso2 + l1_iso3 - rho * 0.3 * 0.3)/l1_pt;
l2_CRI = (l2_iso1 + l2_iso2 + l2_iso3 - rho * 0.3 * 0.3)/l2_pt;
ll_m = sqrt( (l1_en+l2_en)*(l1_en+l2_en)
- (l1_px+l2_px)*(l1_px+l2_px)
- (l1_py+l2_py)*(l1_py+l2_py)
- (l1_pz+l2_pz)*(l1_pz+l2_pz) );
//---------- start cuts --------------------
// check 2 leptons same flavor
ee = 0;
mumu = 0;
if (abs(l1_id) == 11 && abs(l2_id) == 11) ee = 1;
else if (abs(l1_id) == 13 && abs(l2_id) == 13) mumu = 1;
// check two leptons opposite charge
//if (l1_id * l2_id >= 0 || (ee == 0 && mumu == 0)) continue;
if ((ee == 0 && mumu == 0)) continue;
compteur[1]++;
// eta fiducial cut
/*if (mumu && (fabs(l1_eta) > 2.4 || fabs(l2_eta) > 2.4)) continue;
else if (ee){
if ((fabs(l1_eta) >= 2.5 || (1.4442 <= fabs(l1_eta) && fabs(l1_eta) <= 1.566)) ||
(fabs(l2_eta) >= 2.5 || (1.4442 <= fabs(l2_eta) && fabs(l2_eta) <= 1.566))) continue;
}
*/
// check the pt resolution for the muons
//if (mumu && (l1_ptErr/l1_pt > 0.1 || l2_ptErr/l2_pt > 0.1)) continue;
// Z mass window
if (fabs(ll_m - 91.) > 15.) continue;
compteur[2]++;
// b-tagging
isThereBJet = 0;
for (int i = 0; i < jn; i++) {
jet_eta = 0.5*log((jn_en[i]+jn_pz[i])/(jn_en[i]-jn_pz[i]));
jet_pt = sqrt(jn_px[i]*jn_px[i] + jn_py[i]*jn_py[i]);
if(fabs(jet_eta) < 2.4 && jet_pt > 30. && jn_btag1[i] >= 2) {
isThereBJet = 1;
i = jn;
}
}
if (isThereBJet) continue;
compteur[3]++;
// check pt of the Z candidate
if (ll_pt < 25) continue;
compteur[4]++;
// reject events with more than 2 leptons
if (ln > 0){
if (abs(ln_id[0]) == 11 && sqrt(ln_px[0]*ln_px[0]+ln_py[0]*ln_py[0])>10. ) continue;
if (abs(ln_id[0]) == 13 ) continue;
}
compteur[5]++;
// check the isolation of the leptons
if (mumu && (l1_CRI > 0.15 || l2_CRI > 0.15)) continue;
else if (ee && (l1_CRI > 0.15 || l2_CRI > 0.15)) continue;
compteur[6]++;
// pt minimum for each lepton
if (l1_pt < 20 || l2_pt < 20) continue;
compteur[7]++;
// Fill histos
if (ee){
hee_llMass->Fill(ll_m, finWeight);
hee_llPt->Fill(ll_pt, finWeight);
hee_l1Eta->Fill(l1_eta, finWeight);
hee_l2Eta->Fill(l2_eta, finWeight);
hee_l1Pt->Fill(l1_pt, finWeight);
hee_l2Pt->Fill(l2_pt, finWeight);
hee_MET1Pt->Fill(met1_pt, finWeight);
compteurEE++;
}
else if (mumu){
hmumu_llMass->Fill(ll_m, finWeight);
hmumu_llPt->Fill(ll_pt, finWeight);
hmumu_l1Eta->Fill(l1_eta, finWeight);
hmumu_l2Eta->Fill(l2_eta, finWeight);
hmumu_l1Pt->Fill(l1_pt, finWeight);
hmumu_l2Pt->Fill(l2_pt, finWeight);
hmumu_MET1Pt->Fill(met1_pt, finWeight);
compteurMuMu++;
}
}
// display histogram
hee_llMass->SetXTitle("M_{ll} (GeV)");
hee_l1Pt->SetXTitle("p_{t} (GeV)");
hee_l2Pt->SetXTitle("p_{t} (GeV)");
hee_MET1Pt->SetXTitle("MET1 (GeV)");
hee_l1Eta->SetXTitle("#eta");
hee_l2Eta->SetXTitle("#eta");
hmumu_llMass->SetXTitle("M_{ll} (GeV)");
hmumu_l1Pt->SetXTitle("p_{t} (GeV)");
hmumu_l2Pt->SetXTitle("p_{t} (GeV)");
hmumu_MET1Pt->SetXTitle("MET1 (GeV)");
hmumu_l1Eta->SetXTitle("#eta");
hmumu_l2Eta->SetXTitle("#eta");
dir->GetList()->Write();
file->Close();
dir->GetList()->Delete();
cout << endl;
for (int i = 0; i<8; i++){
cout <<" compteur "<<i<< " " << compteur[i] << endl;
}
cout << endl;
cout << "compteurEE = " << compteurEE << " compteurMuMu = " << compteurMuMu << endl;
}
