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buchmann |
1.1 |
#include <iostream>
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using namespace std;
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TGraphErrors* MakeErrorGraph(TH1F *histo) {
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float dx[histo->GetNbinsX()];
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float dy[histo->GetNbinsX()];
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float x[histo->GetNbinsX()];
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float y[histo->GetNbinsX()];
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for(int i=1;i<=histo->GetNbinsX();i++) {
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x[i-1]=histo->GetBinCenter(i);
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y[i-1]=histo->GetBinContent(i);
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if(i>1) dx[i-1]=(histo->GetBinCenter(i)-histo->GetBinCenter(i-1))/2.0;
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else dx[i-1]=(histo->GetBinCenter(i+1)-histo->GetBinCenter(i))/2.0;
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dy[i-1]=histo->GetBinError(i);
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}
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TGraphErrors *gr = new TGraphErrors(histo->GetNbinsX(),x,y,dx,dy);
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gr->SetFillColor(TColor::GetColor("#2E9AFE"));
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return gr;
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}
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fronga |
1.7 |
void ProduceMetPlotsWithCut(TCut cut, string name, float cutat, int njets, bool doMC = false ) {
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buchmann |
1.1 |
TCanvas *tcan = new TCanvas("tcan","tcan");
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cout << "Doing met plots" << endl;
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buchmann |
1.2 |
stringstream MetBaseCuts;
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fronga |
1.7 |
MetBaseCuts << "met[4]>" << cutat << "&&" << cut.GetTitle();
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stringstream snjets;
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snjets << njets;
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buchmann |
1.2 |
TCut MetBaseCut(MetBaseCuts.str().c_str());
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fronga |
1.7 |
TCut nJetsSignal(("pfJetGoodNum40>="+snjets.str()).c_str());
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TCut nJetsControl(("pfJetGoodNum40<"+snjets.str()).c_str());
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buchmann |
1.1 |
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//compute SF / OF rate in (CR1+CR2), should give 0.941 +/- 0.05
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fronga |
1.7 |
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// Create histograms
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fronga |
1.9 |
//int nbins = 30;
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int nbins = 60;
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fronga |
1.7 |
float xmin=20., xmax = 320.;
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fronga |
1.8 |
TH1F *mllsigEE =allsamples.Draw("mllsigEE","mll",nbins,xmin,xmax,"m_{ee} [GeV]", "events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==0"),data,PlottingSetup::luminosity);
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TH1F *mllsigMM =allsamples.Draw("mllsigMM","mll",nbins,xmin,xmax,"m_{#mu#mu} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==1"),data,PlottingSetup::luminosity);
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TH1F *mllscon=allsamples.Draw("mllscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]", "events",TCut(cutOSSF&&MetBaseCut&&nJetsControl),data,PlottingSetup::luminosity);
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fronga |
1.7 |
TH1F *mllOsig = allsamples.Draw("mllOsig", "mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsSignal),data,PlottingSetup::luminosity);
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TH1F *mllOscon = allsamples.Draw("mllOscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsControl),data,PlottingSetup::luminosity);
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fronga |
1.8 |
TH1F* mllsig = (TH1F*)mllsigEE->Clone("mllsig");
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mllsig->Add(mllsigMM);
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mllsig->GetXaxis()->SetTitle("m_{ll} [GeV]");
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THStack *mcMllsig, *mcMllsigEE,*mcMllsigMM,*mcMllscon,*mcMllsconEE,*mcMllsconMM, *mcMllOsig, *mcMllOscon;
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fronga |
1.7 |
if ( doMC ) {
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name += "_mc";
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fronga |
1.8 |
mcMllsig = new THStack(allsamples.DrawStack("mcMllsig","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal),mc,PlottingSetup::luminosity));
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mcMllsigEE = new THStack(allsamples.DrawStack("mcMllsigEE","mll",nbins,xmin,xmax,"m_{ee} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==0"),mc,PlottingSetup::luminosity));
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mcMllsigMM = new THStack(allsamples.DrawStack("mcMllsigMM","mll",nbins,xmin,xmax,"m_{#mu#mu} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==1"),mc,PlottingSetup::luminosity));
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mcMllscon = new THStack(allsamples.DrawStack("mcMllscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsControl),mc,PlottingSetup::luminosity));
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mcMllOsig = new THStack(allsamples.DrawStack("mcMllOsig","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsSignal),mc,PlottingSetup::luminosity));
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fronga |
1.7 |
mcMllOscon= new THStack(allsamples.DrawStack("mcMllOscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsControl),mc,PlottingSetup::luminosity));
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fronga |
1.8 |
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fronga |
1.7 |
}
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fronga |
1.8 |
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buchmann |
1.1 |
mllOsig->SetLineColor(kRed);
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mllOscon->SetLineColor(kRed);
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fronga |
1.7 |
TH1F *zlineshape = allsamples.Draw("zlineshape","mll",nbins,xmin,xmax,"m_{ll} (GeV)","events",cutOSSF&&TCut("pfJetGoodNum40==1")&&cut,data,PlottingSetup::luminosity);
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fronga |
1.4 |
//float scalefactor=(mllsig->GetBinContent(mllsig->GetMaximumBin()-1)+mllsig->GetBinContent(mllsig->GetMaximumBin())+mllsig->GetBinContent(mllsig->GetMaximumBin()+1)-mllOsig->GetBinContent(mllsig->GetMaximumBin()-1)-mllOsig->GetBinContent(mllsig->GetMaximumBin())-mllOsig->GetBinContent(mllsig->GetMaximumBin())+1);
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//scalefactor/=(zlineshape->GetBinContent(zlineshape->GetMaximumBin()-1)+zlineshape->GetBinContent(zlineshape->GetMaximumBin())+zlineshape->GetBinContent(zlineshape->GetMaximumBin()+1));
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// Alternative scale factor: use 90+-5 GeV
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buchmann |
1.6 |
Int_t scaleBinLow = mllsig->FindBin(86);
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Int_t scaleBinHigh = mllsig->FindBin(94);
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fronga |
1.4 |
float scalefactor = (mllsig->Integral(scaleBinLow,scaleBinHigh)-mllOsig->Integral(scaleBinLow,scaleBinHigh));
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scalefactor /= zlineshape->Integral(scaleBinLow,scaleBinHigh);
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buchmann |
1.6 |
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cout << "Bins for scaling : " << scaleBinLow << " : " << scaleBinHigh << endl;
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buchmann |
1.3 |
zlineshape->Scale(scalefactor);
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zlineshape->SetLineColor(kBlue);
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zlineshape->SetLineStyle(2);
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TH1F *subtracted = (TH1F*)mllsig->Clone("subtracted");
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TH1F *baseline = (TH1F*)mllOsig->Clone("baseline");
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for(int i=1;i<=subtracted->GetNbinsX();i++) {
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subtracted->SetBinContent(i,mllsig->GetBinContent(i)-mllOsig->GetBinContent(i));
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baseline->SetBinContent(i,0);
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}
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TH1F *prediction = (TH1F*)mllOsig->Clone("prediction");
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prediction->Add(zlineshape);
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prediction->SetLineColor(TColor::GetColor("#CF35CA"));
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fronga |
1.7 |
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TH1F *control_prediction = (TH1F*)mllOscon->Clone("control_prediction");
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control_prediction->SetLineColor(TColor::GetColor("#CF35CA"));
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// FIX Y RANGE TO EASE COMPARISON
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mllsig->SetMaximum(120);
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fronga |
1.8 |
mllsigEE->SetMaximum(120);
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mllsigMM->SetMaximum(120);
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fronga |
1.7 |
mllOsig->SetMaximum(120);
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mllOscon->SetMaximum(280);
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subtracted->SetMaximum(50);
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subtracted->SetMinimum(-30);
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buchmann |
1.3 |
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fronga |
1.7 |
// 1.- Signal region comparison
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TGraphErrors *stat3j;
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////mllsig->GetYaxis()->SetRangeUser(0,mllsig->GetMaximum()*1.2);
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buchmann |
1.1 |
mllsig->Draw();
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fronga |
1.7 |
// Do not draw errors on prediction when overlaying MC.
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if ( doMC ) {
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mcMllsig->Draw("same");
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} else {
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stat3j = MakeErrorGraph(prediction);
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stat3j->Draw("2,same");
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mllOsig->Draw("histo,same");
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zlineshape->Draw("histo,same");
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}
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buchmann |
1.3 |
prediction->Draw("histo,same");
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buchmann |
1.1 |
mllsig->Draw("same");
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DrawPrelim();
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TBox *srbox = new TBox(20,0,70,mllsig->GetMaximum());
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srbox->SetFillStyle(0);
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srbox->SetLineColor(TColor::GetColor("#298A08"));
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srbox->SetLineWidth(3);
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fronga |
1.7 |
TLegend *leg;
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if ( doMC ) {
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leg = allsamples.allbglegend();
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} else {
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leg = make_legend();
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}
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buchmann |
1.1 |
leg->SetX1(0.54);
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buchmann |
1.2 |
stringstream MetHeader;
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MetHeader << "MET>" << cutat << " GeV";
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fronga |
1.7 |
leg->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()).c_str());
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if (!doMC) leg->AddEntry(mllsig,"Data","PL");
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leg->AddEntry(prediction,"All bg prediction","L");
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if (!doMC) {
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leg->AddEntry(mllOsig,"bg without Z","L");
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leg->AddEntry(zlineshape,"Z lineshape","L");
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leg->AddEntry(stat3j,"stat. uncert.","F");
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}
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buchmann |
1.1 |
leg->AddEntry(srbox,"SR","F");
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leg->Draw();
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srbox->Draw();
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stringstream saveasSig;
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buchmann |
1.3 |
saveasSig << "MetPlots/mll_sig" << cutat << "__" << name;
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buchmann |
1.1 |
CompleteSave(tcan,saveasSig.str());
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fronga |
1.8 |
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// 1b. MC: split ee and mumu
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if ( doMC ) {
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mllsigEE->Draw();
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mcMllsigEE->Draw("same");
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mllsigEE->Draw("same");
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DrawPrelim();
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leg->Draw();
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srbox->Draw();
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CompleteSave(tcan,saveasSig.str()+"_ee");
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mllsigMM->Draw();
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mcMllsigMM->Draw("same");
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mllsigMM->Draw("same");
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DrawPrelim();
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leg->Draw();
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srbox->Draw();
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CompleteSave(tcan,saveasSig.str()+"_mm");
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}
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buchmann |
1.1 |
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fronga |
1.7 |
// 2.- Signal region comparison - LOG scale
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mllsig->SetMinimum(0.2); // FIX Y RANGE TO EASE COMPARISON
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//mllsig->SetMaximum(mllsig->GetMaximum()*4.0);
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fronga |
1.4 |
srbox->SetY2(mllsig->GetMaximum());
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| 176 |
buchmann |
1.6 |
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| 177 |
buchmann |
1.1 |
tcan->SetLogy(1);
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| 178 |
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stringstream saveasSig2;
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| 179 |
buchmann |
1.3 |
saveasSig2 << "MetPlots/mll_sig_ZLINESHAPE_" << cutat << "__" << name;
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| 181 |
buchmann |
1.1 |
CompleteSave(tcan,saveasSig2.str());
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tcan->SetLogy(0);
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| 184 |
fronga |
1.7 |
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// 3.- Signal region, background subtracted
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fronga |
1.8 |
if ( !doMC ) {
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for(int i=1;i<subtracted->GetNbinsX();i++) {
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subtracted->SetBinContent(i,subtracted->GetBinContent(i)-zlineshape->GetBinContent(i));
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}
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| 190 |
buchmann |
1.3 |
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| 191 |
fronga |
1.8 |
TGraphErrors *subtrerr = MakeErrorGraph(baseline);
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subtracted->Draw();
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subtrerr->Draw("2,same");
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| 194 |
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subtracted->Draw("same");
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| 195 |
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DrawPrelim();
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TLegend *DiffLeg = make_legend();
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DiffLeg->SetX1(0.3);
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DiffLeg->SetFillStyle(0);
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DiffLeg->AddEntry(subtracted,"observed - predicted","PL");
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DiffLeg->AddEntry(subtrerr,"stat. uncert on prediction","F");
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DiffLeg->AddEntry((TObject*)0,"","");
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DiffLeg->AddEntry((TObject*)0,"","");
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DiffLeg->Draw();
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| 204 |
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| 205 |
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stringstream saveasSigSub;
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| 206 |
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saveasSigSub << "MetPlots/mll_sig_SUBTRACTED_" << cutat << "__" << name;
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| 208 |
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CompleteSave(tcan,saveasSigSub.str());
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| 209 |
fronga |
1.5 |
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| 210 |
fronga |
1.8 |
// 4.- Signal region, background subtracted, errors added in quadrature
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| 211 |
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TGraphErrors *subtrerr2 = (TGraphErrors*)subtrerr->Clone("subtrerr2");
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| 212 |
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for(int i=0;i<subtrerr2->GetN();i++) {
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| 213 |
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subtrerr2->SetPoint(i,subtracted->GetBinCenter(i),subtracted->GetBinContent(i));
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| 214 |
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subtrerr2->SetPointError(i,subtrerr2->GetErrorX(i),TMath::Sqrt(subtrerr2->GetErrorY(i)*subtrerr2->GetErrorY(i)+subtracted->GetBinError(i)*subtracted->GetBinError(i)));
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| 215 |
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}
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| 216 |
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TLine* l = new TLine(subtracted->GetBinLowEdge(1),0.,subtracted->GetBinLowEdge(subtracted->GetNbinsX()-1)+subtracted->GetBinWidth(1),0.);
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| 217 |
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l->SetLineWidth(subtracted->GetLineWidth());
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| 218 |
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subtracted->Draw();
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| 219 |
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subtrerr2->Draw("2,same");
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| 220 |
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l->Draw("same");
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| 221 |
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subtracted->Draw("same");
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| 222 |
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DrawPrelim();
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| 223 |
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TLegend *DiffLeg2 = make_legend();
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| 224 |
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DiffLeg2->SetX1(0.3);
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| 225 |
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DiffLeg2->SetFillStyle(0);
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| 226 |
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DiffLeg2->AddEntry(subtracted,"observed - predicted","PL");
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| 227 |
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DiffLeg2->AddEntry(subtrerr2,"stat. uncert on prediction","F");
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| 228 |
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DiffLeg2->AddEntry((TObject*)0,"","");
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| 229 |
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DiffLeg2->AddEntry((TObject*)0,"","");
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| 230 |
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DiffLeg2->Draw();
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| 231 |
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| 232 |
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stringstream saveasSigSub2;
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| 233 |
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saveasSigSub2 << "MetPlots/mll_sig_SUBTRACTED_quadr_" << cutat << "__" << name;
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| 234 |
fronga |
1.5 |
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| 235 |
fronga |
1.8 |
CompleteSave(tcan,saveasSigSub2.str());
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| 236 |
fronga |
1.5 |
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| 237 |
fronga |
1.8 |
delete DiffLeg;
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| 238 |
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delete DiffLeg2;
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| 239 |
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} // !doMC
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| 240 |
buchmann |
1.3 |
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| 241 |
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| 242 |
fronga |
1.7 |
// 5.- Control region comparison
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| 243 |
buchmann |
1.6 |
scalefactor = (mllscon->Integral(scaleBinLow,scaleBinHigh)-mllOscon->Integral(scaleBinLow,scaleBinHigh));
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| 244 |
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scalefactor /= zlineshape->Integral(scaleBinLow,scaleBinHigh);
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| 245 |
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zlineshape->Scale(scalefactor);
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| 246 |
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control_prediction->Add(zlineshape);
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| 247 |
fronga |
1.7 |
control_prediction->SetMaximum(280); // FIX Y RANGE TO EASE COMPARISON
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| 248 |
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| 249 |
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//control_prediction->GetYaxis()->SetRangeUser(0,control_prediction->GetMaximum()*1.3);
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| 250 |
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TGraphErrors *stat2j;
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| 251 |
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control_prediction->Draw("hist");
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| 252 |
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if(doMC) {
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| 253 |
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mcMllscon->Draw("same");
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| 254 |
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} else {
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| 255 |
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stat2j = MakeErrorGraph(control_prediction);
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| 256 |
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stat2j->Draw("2,same");
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| 257 |
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mllOscon->Draw("same,hist");
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| 258 |
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zlineshape->Draw("histo,same");
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| 259 |
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}
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| 260 |
buchmann |
1.6 |
control_prediction->Draw("histo,same");
|
| 261 |
buchmann |
1.1 |
mllscon->Draw("same");
|
| 262 |
|
|
DrawPrelim();
|
| 263 |
|
|
|
| 264 |
buchmann |
1.6 |
TBox *cr1box = new TBox(20,0,70,control_prediction->GetMaximum());
|
| 265 |
buchmann |
1.1 |
cr1box->SetFillStyle(0);
|
| 266 |
|
|
cr1box->SetLineColor(TColor::GetColor("#0404B4"));
|
| 267 |
|
|
cr1box->SetLineWidth(3);
|
| 268 |
|
|
|
| 269 |
buchmann |
1.6 |
TBox *cr2box = new TBox(150,0,320,control_prediction->GetMaximum());
|
| 270 |
buchmann |
1.1 |
cr2box->SetFillStyle(0);
|
| 271 |
|
|
cr2box->SetLineColor(TColor::GetColor("#0404B4"));
|
| 272 |
|
|
cr2box->SetLineWidth(3);
|
| 273 |
|
|
cr2box->SetLineStyle(2);
|
| 274 |
|
|
|
| 275 |
fronga |
1.7 |
TLegend *legc;
|
| 276 |
|
|
if ( doMC ) {
|
| 277 |
|
|
legc = allsamples.allbglegend();
|
| 278 |
|
|
} else {
|
| 279 |
|
|
legc = make_legend();
|
| 280 |
|
|
}
|
| 281 |
buchmann |
1.1 |
legc->SetX1(0.54);
|
| 282 |
fronga |
1.7 |
legc->SetHeader(((string)"N_{jets} < "+snjets.str()+", "+MetHeader.str()).c_str());
|
| 283 |
|
|
if ( !doMC ) legc->AddEntry(mllscon,"Data","PL");
|
| 284 |
buchmann |
1.6 |
legc->AddEntry(control_prediction,"All bg","L");
|
| 285 |
fronga |
1.7 |
if ( !doMC ) {
|
| 286 |
|
|
legc->AddEntry(zlineshape,"Z lineshape","L");
|
| 287 |
|
|
legc->AddEntry(mllOscon,"bg without Z","L");
|
| 288 |
|
|
legc->AddEntry(stat2j,"stat. uncert.","F");
|
| 289 |
|
|
}
|
| 290 |
buchmann |
1.1 |
legc->AddEntry(cr1box,"CR1","F");
|
| 291 |
|
|
legc->AddEntry(cr2box,"CR2","F");
|
| 292 |
|
|
legc->Draw();
|
| 293 |
|
|
|
| 294 |
|
|
cr1box->Draw();
|
| 295 |
|
|
cr2box->Draw();
|
| 296 |
|
|
|
| 297 |
|
|
stringstream saveasCon;
|
| 298 |
buchmann |
1.3 |
saveasCon << "MetPlots/mll_con" << cutat << "__" << name;
|
| 299 |
buchmann |
1.1 |
CompleteSave(tcan,saveasCon.str());
|
| 300 |
fronga |
1.7 |
|
| 301 |
|
|
// 6. - Opposite-flavour data/MC comparison
|
| 302 |
|
|
if ( doMC ) {
|
| 303 |
|
|
mllOsig->SetLineColor(kBlack);
|
| 304 |
|
|
mllOsig->Draw();
|
| 305 |
|
|
mcMllOsig->Draw("same");
|
| 306 |
|
|
mllOsig->Draw("same");
|
| 307 |
|
|
TLegend *legsdm = allsamples.allbglegend();
|
| 308 |
|
|
legsdm->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
|
| 309 |
|
|
legsdm->SetX1(0.54);
|
| 310 |
|
|
legsdm->Draw();
|
| 311 |
|
|
stringstream saveasSigOF;
|
| 312 |
|
|
saveasSigOF << "MetPlots/mll_sig_of_" << cutat << "__" << name;
|
| 313 |
|
|
CompleteSave(tcan,saveasSigOF.str());
|
| 314 |
|
|
|
| 315 |
|
|
mllOscon->SetLineColor(kBlack);
|
| 316 |
|
|
mllOscon->Draw();
|
| 317 |
|
|
mcMllOscon->Draw("same");
|
| 318 |
|
|
mllOscon->Draw("same");
|
| 319 |
|
|
TLegend *legcdm = allsamples.allbglegend();
|
| 320 |
|
|
legcdm->SetHeader(((string)"N_{jets}<"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
|
| 321 |
|
|
legcdm->SetX1(0.54);
|
| 322 |
|
|
legcdm->Draw();
|
| 323 |
|
|
stringstream saveasConOF;
|
| 324 |
|
|
saveasConOF << "MetPlots/mll_con_of_" << cutat << "__" << name;
|
| 325 |
|
|
CompleteSave(tcan,saveasConOF.str());
|
| 326 |
|
|
|
| 327 |
|
|
delete legsdm;
|
| 328 |
|
|
delete legcdm;
|
| 329 |
|
|
|
| 330 |
|
|
delete mcMllscon;
|
| 331 |
|
|
delete mcMllOscon;
|
| 332 |
|
|
delete mcMllsig;
|
| 333 |
fronga |
1.8 |
delete mcMllsigEE;
|
| 334 |
|
|
delete mcMllsigMM;
|
| 335 |
fronga |
1.7 |
delete mcMllOsig;
|
| 336 |
|
|
}
|
| 337 |
buchmann |
1.1 |
|
| 338 |
|
|
delete cr1box;
|
| 339 |
|
|
delete cr2box;
|
| 340 |
|
|
delete srbox;
|
| 341 |
|
|
delete legc;
|
| 342 |
|
|
delete leg;
|
| 343 |
fronga |
1.7 |
|
| 344 |
buchmann |
1.1 |
delete mllscon;
|
| 345 |
|
|
delete mllOscon;
|
| 346 |
|
|
delete mllsig;
|
| 347 |
fronga |
1.8 |
delete mllsigEE;
|
| 348 |
|
|
delete mllsigMM;
|
| 349 |
buchmann |
1.1 |
delete mllOsig;
|
| 350 |
fronga |
1.7 |
delete zlineshape;
|
| 351 |
buchmann |
1.6 |
delete tcan;
|
| 352 |
buchmann |
1.1 |
}
|
| 353 |
|
|
|
| 354 |
|
|
void DoMetPlots() {
|
| 355 |
fronga |
1.7 |
float metCuts[] = { 100., 150. };
|
| 356 |
|
|
int jetCuts[] = { 3, 2 };
|
| 357 |
|
|
string leptCuts[] = { "pt1>20&&pt2>20&&abs(eta1)<1.4&&abs(eta2)<1.4",
|
| 358 |
|
|
"pt1>20&&pt2>10"
|
| 359 |
|
|
};
|
| 360 |
|
|
bool nomc(0),domc(1);
|
| 361 |
|
|
for ( int i=0; i<2; ++i ) {
|
| 362 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],nomc);
|
| 363 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],domc);
|
| 364 |
|
|
if (!PlottingSetup::is53reco) { // Old 5_2
|
| 365 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i]);
|
| 366 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i]);
|
| 367 |
|
|
} else {
|
| 368 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],nomc);
|
| 369 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],nomc);
|
| 370 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],domc);
|
| 371 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],domc);
|
| 372 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag40==0&&"+leptCuts[i]).c_str()),"bTagVeto40",metCuts[i], jetCuts[i]);
|
| 373 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag40>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet40",metCuts[i], jetCuts[i]);
|
| 374 |
|
|
}
|
| 375 |
|
|
}
|
| 376 |
buchmann |
1.1 |
}
|
