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buchmann |
1.1 |
#include <iostream>
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using namespace std;
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buchmann |
1.17 |
float Get_Met_Z_Prediction(TCut JetCut, float MetCut, int isdata, bool isDYonly);
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buchmann |
1.1 |
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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fronga |
1.16 |
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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 |
1.10 |
TCut nJetsSignal(PlottingSetup::basicqualitycut&&("pfJetGoodNum40>="+snjets.str()).c_str());
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fronga |
1.16 |
TCut nJetsControl(("met[4]<150&&pfJetGoodID[0]!=0&&pfJetGoodNum40<"+snjets.str()).c_str());
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if ( !PlottingSetup::openBox ) {
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nJetsSignal += TCut("mll>120");
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}
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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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buchmann |
1.17 |
float xmin=15., xmax = 315.;
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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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buchmann |
1.13 |
TH1F *zlineshapeControl = (TH1F*)zlineshape->Clone("zlineshapeControl");
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buchmann |
1.17 |
TH1F *zlineshapeFINE = allsamples.Draw("zlineshapeFINE","mll",50*nbins,xmin,xmax,"m_{ll} (GeV)","events",cutOSSF&&TCut("pfJetGoodNum40==1")&&cut,data,PlottingSetup::luminosity);
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buchmann |
1.18 |
float scalefactor = Get_Met_Z_Prediction(nJetsSignal,cutat, data, false) / (zlineshapeFINE->Integral(zlineshapeFINE->FindBin(91.1-20),zlineshapeFINE->FindBin(91.1+20)));
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float scalefactor_Control = Get_Met_Z_Prediction(nJetsControl,cutat, data, false) / (zlineshapeFINE->Integral(zlineshapeFINE->FindBin(91.1-20),zlineshapeFINE->FindBin(91.1+20)));
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buchmann |
1.17 |
delete zlineshapeFINE;
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buchmann |
1.6 |
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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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buchmann |
1.13 |
zlineshapeControl->Scale(scalefactor_Control);
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zlineshapeControl->SetLineColor(kBlue);
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zlineshapeControl->SetLineStyle(2);
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buchmann |
1.3 |
TH1F *subtracted = (TH1F*)mllsig->Clone("subtracted");
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buchmann |
1.13 |
TH1F *subtractedControl = (TH1F*)mllscon->Clone("subtractedControl");
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buchmann |
1.3 |
TH1F *baseline = (TH1F*)mllOsig->Clone("baseline");
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buchmann |
1.13 |
TH1F *baselineControl = (TH1F*)mllOscon->Clone("baselineControl");
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buchmann |
1.3 |
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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buchmann |
1.13 |
subtractedControl->SetBinContent(i,mllscon->GetBinContent(i)-mllOscon->GetBinContent(i));
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buchmann |
1.3 |
baseline->SetBinContent(i,0);
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buchmann |
1.13 |
baselineControl->SetBinContent(i,0);
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buchmann |
1.3 |
}
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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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fronga |
1.10 |
mllsig->SetMaximum(60);
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mllsigEE->SetMaximum(60);
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mllsigMM->SetMaximum(60);
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mllOsig->SetMaximum(60);
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mllOscon->SetMaximum(140);
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subtracted->SetMaximum(25);
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subtracted->SetMinimum(-15);
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buchmann |
1.13 |
subtractedControl->SetMaximum(40);
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subtractedControl->SetMinimum(-25);
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fronga |
1.7 |
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buchmann |
1.3 |
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fronga |
1.7 |
// 1.- Signal region comparison
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fronga |
1.14 |
TBox *srbox = new TBox(xmin,0,70,mllsig->GetMaximum());
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buchmann |
1.1 |
srbox->SetFillStyle(0);
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srbox->SetLineColor(TColor::GetColor("#298A08"));
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srbox->SetLineWidth(3);
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fronga |
1.10 |
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| 126 |
buchmann |
1.2 |
stringstream MetHeader;
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MetHeader << "MET>" << cutat << " GeV";
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fronga |
1.10 |
stringstream saveasSig;
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saveasSig << "MetPlots/mll_sig" << cutat << "__" << name;
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TLegend* leg;
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if ( !doMC ) {
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tcan->cd();
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//mllsig->GetYaxis()->SetRangeUser(0,mllsig->GetMaximum()*1.2);
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mllsig->Draw();
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TGraphErrors *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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prediction->Draw("histo,same");
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mllsig->Draw("same");
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DrawPrelim();
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leg = make_legend();
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leg->SetX1(0.54);
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leg->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()).c_str());
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leg->AddEntry(mllsig,"Data","PL");
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leg->AddEntry(prediction,"All bg prediction","L");
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| 148 |
fronga |
1.7 |
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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fronga |
1.10 |
leg->AddEntry(srbox,"SR","F");
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leg->Draw();
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srbox->Draw();
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CompleteSave(tcan,saveasSig.str());
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} else {
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TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
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rcan->cd();
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mllsig->Draw();
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mcMllsig->Draw("same");
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prediction->Draw("histo,same");
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mllsig->Draw("same");
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DrawPrelim();
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leg = allsamples.allbglegend();
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leg->SetX1(0.54);
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leg->AddEntry(prediction,"All bg prediction","L");
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leg->AddEntry(srbox,"SR","F");
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leg->Draw();
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srbox->Draw();
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save_with_ratio( mllsig, *mcMllsig, rcan, saveasSig.str() );
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| 170 |
fronga |
1.7 |
}
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buchmann |
1.1 |
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| 172 |
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| 173 |
fronga |
1.8 |
// 1b. MC: split ee and mumu
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| 174 |
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if ( doMC ) {
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| 175 |
fronga |
1.10 |
TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
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| 176 |
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rcan->cd();
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| 177 |
fronga |
1.8 |
mllsigEE->Draw();
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| 178 |
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mcMllsigEE->Draw("same");
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| 179 |
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mllsigEE->Draw("same");
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| 180 |
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DrawPrelim();
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| 181 |
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leg->Draw();
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| 182 |
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srbox->Draw();
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| 183 |
fronga |
1.10 |
save_with_ratio( mllsigEE, *mcMllsigEE,rcan->cd(),saveasSig.str()+"_ee" );
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| 184 |
fronga |
1.8 |
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| 185 |
fronga |
1.10 |
rcan = new TPad("rcan","rcan",0,0,1,1);
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| 186 |
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rcan->cd();
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| 187 |
fronga |
1.8 |
mllsigMM->Draw();
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| 188 |
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mcMllsigMM->Draw("same");
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| 189 |
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mllsigMM->Draw("same");
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| 190 |
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DrawPrelim();
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| 191 |
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leg->Draw();
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| 192 |
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srbox->Draw();
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| 193 |
fronga |
1.10 |
save_with_ratio( mllsigMM, *mcMllsigMM,rcan,saveasSig.str()+"_mm" );
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| 194 |
fronga |
1.8 |
}
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| 195 |
fronga |
1.14 |
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| 196 |
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// 1c. MC: compare of and sf
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| 197 |
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if ( doMC ) {
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| 198 |
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TH1F* hMcMllsig = CollapseStack( *mcMllsig);
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| 199 |
fronga |
1.15 |
leg = allsamples.allbglegend("");
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| 200 |
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// Change "Data" label by hand
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| 201 |
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((TLegendEntry*)leg->GetListOfPrimitives()->At(0))->SetLabel("Same-flavor (MC)");
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| 202 |
fronga |
1.14 |
TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
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| 203 |
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rcan->cd();
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| 204 |
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hMcMllsig->SetMaximum(60);
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| 205 |
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hMcMllsig->Draw("E");
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| 206 |
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mcMllOsig->Draw("same,hist");
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| 207 |
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hMcMllsig->Draw("same,E");
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| 208 |
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DrawMCPrelim();
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| 209 |
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leg->SetX1(0.54);
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| 210 |
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leg->AddEntry(srbox,"SR","F");
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| 211 |
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leg->Draw();
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| 212 |
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srbox->Draw();
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| 213 |
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save_with_ratio( hMcMllsig, *mcMllOsig, rcan, saveasSig.str()+"_mconly");
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| 214 |
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| 215 |
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}
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| 216 |
buchmann |
1.1 |
|
| 217 |
fronga |
1.7 |
// 2.- Signal region comparison - LOG scale
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| 218 |
fronga |
1.10 |
if ( !doMC ) {
|
| 219 |
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tcan->cd();
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| 220 |
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mllsig->SetMinimum(0.2); // FIX Y RANGE TO EASE COMPARISON
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| 221 |
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//mllsig->SetMaximum(mllsig->GetMaximum()*4.0);
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| 222 |
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srbox->SetY2(mllsig->GetMaximum());
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| 223 |
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| 224 |
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tcan->SetLogy(1);
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| 225 |
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stringstream saveasSig2;
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| 226 |
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saveasSig2 << "MetPlots/mll_sig_ZLINESHAPE_" << cutat << "__" << name;
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| 227 |
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| 228 |
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CompleteSave(tcan,saveasSig2.str());
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| 229 |
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tcan->SetLogy(0);
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| 230 |
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}
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| 231 |
buchmann |
1.1 |
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| 232 |
fronga |
1.7 |
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| 233 |
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// 3.- Signal region, background subtracted
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| 234 |
fronga |
1.8 |
if ( !doMC ) {
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| 235 |
fronga |
1.10 |
tcan->cd();
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| 236 |
buchmann |
1.13 |
for(int i=1;i<=subtracted->GetNbinsX();i++) {
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| 237 |
fronga |
1.8 |
subtracted->SetBinContent(i,subtracted->GetBinContent(i)-zlineshape->GetBinContent(i));
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| 238 |
buchmann |
1.13 |
subtractedControl->SetBinContent(i,subtractedControl->GetBinContent(i)-zlineshapeControl->GetBinContent(i));
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| 239 |
fronga |
1.8 |
}
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| 240 |
buchmann |
1.3 |
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| 241 |
fronga |
1.8 |
TGraphErrors *subtrerr = MakeErrorGraph(baseline);
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| 242 |
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subtracted->Draw();
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| 243 |
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subtrerr->Draw("2,same");
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| 244 |
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subtracted->Draw("same");
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| 245 |
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DrawPrelim();
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| 246 |
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TLegend *DiffLeg = make_legend();
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| 247 |
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DiffLeg->SetX1(0.3);
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| 248 |
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DiffLeg->SetFillStyle(0);
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| 249 |
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DiffLeg->AddEntry(subtracted,"observed - predicted","PL");
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| 250 |
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DiffLeg->AddEntry(subtrerr,"stat. uncert on prediction","F");
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| 251 |
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DiffLeg->AddEntry((TObject*)0,"","");
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| 252 |
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DiffLeg->AddEntry((TObject*)0,"","");
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| 253 |
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DiffLeg->Draw();
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| 254 |
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| 255 |
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stringstream saveasSigSub;
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| 256 |
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|
saveasSigSub << "MetPlots/mll_sig_SUBTRACTED_" << cutat << "__" << name;
|
| 257 |
|
|
|
| 258 |
|
|
CompleteSave(tcan,saveasSigSub.str());
|
| 259 |
buchmann |
1.13 |
|
| 260 |
|
|
// 3a.- Control region, background subtracted
|
| 261 |
|
|
TGraphErrors *subtrerrControl = MakeErrorGraph(baselineControl);
|
| 262 |
|
|
subtractedControl->Draw();
|
| 263 |
|
|
subtrerrControl->Draw("2,same");
|
| 264 |
|
|
subtractedControl->Draw("same");
|
| 265 |
|
|
DrawPrelim();
|
| 266 |
|
|
DiffLeg->Draw();
|
| 267 |
|
|
saveasSigSub.str("");
|
| 268 |
fronga |
1.16 |
saveasSigSub << "MetPlots/mll_con_SUBTRACTED_" << cutat << "__" << name;
|
| 269 |
buchmann |
1.13 |
CompleteSave(tcan,saveasSigSub.str());
|
| 270 |
|
|
|
| 271 |
|
|
|
| 272 |
|
|
|
| 273 |
fronga |
1.8 |
// 4.- Signal region, background subtracted, errors added in quadrature
|
| 274 |
|
|
TGraphErrors *subtrerr2 = (TGraphErrors*)subtrerr->Clone("subtrerr2");
|
| 275 |
buchmann |
1.13 |
for(int i=1;i<=subtrerr2->GetN();i++) {
|
| 276 |
|
|
subtrerr2->SetPoint(i-1,subtracted->GetBinCenter(i),subtracted->GetBinContent(i));
|
| 277 |
|
|
subtrerr2->SetPointError(i-1,subtrerr2->GetErrorX(i),TMath::Sqrt(subtrerr2->GetErrorY(i)*subtrerr2->GetErrorY(i)+subtracted->GetBinError(i)*subtracted->GetBinError(i)));
|
| 278 |
fronga |
1.8 |
}
|
| 279 |
|
|
TLine* l = new TLine(subtracted->GetBinLowEdge(1),0.,subtracted->GetBinLowEdge(subtracted->GetNbinsX()-1)+subtracted->GetBinWidth(1),0.);
|
| 280 |
|
|
l->SetLineWidth(subtracted->GetLineWidth());
|
| 281 |
|
|
subtracted->Draw();
|
| 282 |
|
|
subtrerr2->Draw("2,same");
|
| 283 |
|
|
l->Draw("same");
|
| 284 |
|
|
subtracted->Draw("same");
|
| 285 |
|
|
DrawPrelim();
|
| 286 |
|
|
TLegend *DiffLeg2 = make_legend();
|
| 287 |
|
|
DiffLeg2->SetX1(0.3);
|
| 288 |
|
|
DiffLeg2->SetFillStyle(0);
|
| 289 |
|
|
DiffLeg2->AddEntry(subtracted,"observed - predicted","PL");
|
| 290 |
|
|
DiffLeg2->AddEntry(subtrerr2,"stat. uncert on prediction","F");
|
| 291 |
|
|
DiffLeg2->AddEntry((TObject*)0,"","");
|
| 292 |
|
|
DiffLeg2->AddEntry((TObject*)0,"","");
|
| 293 |
|
|
DiffLeg2->Draw();
|
| 294 |
|
|
|
| 295 |
|
|
stringstream saveasSigSub2;
|
| 296 |
|
|
saveasSigSub2 << "MetPlots/mll_sig_SUBTRACTED_quadr_" << cutat << "__" << name;
|
| 297 |
fronga |
1.5 |
|
| 298 |
fronga |
1.8 |
CompleteSave(tcan,saveasSigSub2.str());
|
| 299 |
fronga |
1.5 |
|
| 300 |
buchmann |
1.13 |
|
| 301 |
|
|
|
| 302 |
|
|
//4a.- Control region, background subtracted, errors added in quadrature
|
| 303 |
|
|
TGraphErrors *subtrerr2Control = (TGraphErrors*)subtrerrControl->Clone("subtrerr2Control");
|
| 304 |
|
|
for(int i=1;i<=subtrerr2Control->GetN();i++) {
|
| 305 |
|
|
subtrerr2Control->SetPoint(i-1,subtractedControl->GetBinCenter(i),subtractedControl->GetBinContent(i));
|
| 306 |
|
|
float width=subtrerr2Control->GetErrorX(i);
|
| 307 |
|
|
if(i==subtrerr2Control->GetN()) width=subtrerr2Control->GetErrorX(i-1);
|
| 308 |
|
|
subtrerr2Control->SetPointError(i-1,width,TMath::Sqrt(subtrerr2Control->GetErrorY(i)*subtrerr2Control->GetErrorY(i)+subtractedControl->GetBinError(i)*subtractedControl->GetBinError(i)));
|
| 309 |
|
|
}
|
| 310 |
|
|
TLine* lControl = new TLine(subtractedControl->GetBinLowEdge(1),0.,subtractedControl->GetBinLowEdge(subtractedControl->GetNbinsX()-1)+subtractedControl->GetBinWidth(1),0.);
|
| 311 |
|
|
lControl->SetLineWidth(subtractedControl->GetLineWidth());
|
| 312 |
|
|
subtractedControl->Draw();
|
| 313 |
|
|
subtrerr2Control->Draw("2,same");
|
| 314 |
|
|
lControl->Draw("same");
|
| 315 |
|
|
subtractedControl->Draw("same");
|
| 316 |
|
|
DrawPrelim();
|
| 317 |
|
|
DiffLeg2->Draw();
|
| 318 |
|
|
|
| 319 |
|
|
saveasSigSub2.str("");
|
| 320 |
fronga |
1.16 |
saveasSigSub2 << "MetPlots/mll_con_SUBTRACTED_quadr_" << cutat << "__" << name;
|
| 321 |
buchmann |
1.13 |
|
| 322 |
|
|
CompleteSave(tcan,saveasSigSub2.str());
|
| 323 |
|
|
|
| 324 |
fronga |
1.8 |
delete DiffLeg;
|
| 325 |
|
|
delete DiffLeg2;
|
| 326 |
buchmann |
1.13 |
|
| 327 |
fronga |
1.8 |
} // !doMC
|
| 328 |
buchmann |
1.3 |
|
| 329 |
|
|
|
| 330 |
fronga |
1.7 |
// 5.- Control region comparison
|
| 331 |
fronga |
1.16 |
// scalefactor = (mllscon->Integral(scaleBinLow,scaleBinHigh)-mllOscon->Integral(scaleBinLow,scaleBinHigh));
|
| 332 |
|
|
// scalefactor /= zlineshape->Integral(scaleBinLow,scaleBinHigh);
|
| 333 |
|
|
// zlineshape->Scale(scalefactor);
|
| 334 |
|
|
control_prediction->Add(zlineshapeControl);
|
| 335 |
|
|
|
| 336 |
|
|
control_prediction->SetMaximum(140); // FIX MAXIMUM TO EASE COMPARISON
|
| 337 |
fronga |
1.7 |
|
| 338 |
fronga |
1.14 |
TBox *cr1box = new TBox(xmin,0,70,control_prediction->GetMaximum());
|
| 339 |
buchmann |
1.1 |
cr1box->SetFillStyle(0);
|
| 340 |
|
|
cr1box->SetLineColor(TColor::GetColor("#0404B4"));
|
| 341 |
|
|
cr1box->SetLineWidth(3);
|
| 342 |
|
|
|
| 343 |
fronga |
1.14 |
TBox *cr2box = new TBox(120,0,xmax,control_prediction->GetMaximum());
|
| 344 |
buchmann |
1.1 |
cr2box->SetFillStyle(0);
|
| 345 |
|
|
cr2box->SetLineColor(TColor::GetColor("#0404B4"));
|
| 346 |
|
|
cr2box->SetLineWidth(3);
|
| 347 |
|
|
cr2box->SetLineStyle(2);
|
| 348 |
|
|
|
| 349 |
fronga |
1.10 |
stringstream saveasCon;
|
| 350 |
|
|
saveasCon << "MetPlots/mll_con" << cutat << "__" << name;
|
| 351 |
|
|
|
| 352 |
fronga |
1.7 |
TLegend *legc;
|
| 353 |
fronga |
1.10 |
//control_prediction->GetYaxis()->SetRangeUser(0,control_prediction->GetMaximum()*1.3);
|
| 354 |
|
|
if ( !doMC ) {
|
| 355 |
|
|
tcan->cd();
|
| 356 |
|
|
control_prediction->Draw("hist");
|
| 357 |
|
|
TGraphErrors *stat2j = MakeErrorGraph(control_prediction);
|
| 358 |
|
|
stat2j->Draw("2,same");
|
| 359 |
|
|
mllOscon->Draw("same,hist");
|
| 360 |
fronga |
1.16 |
zlineshapeControl->Draw("histo,same");
|
| 361 |
fronga |
1.10 |
control_prediction->Draw("histo,same");
|
| 362 |
|
|
mllscon->Draw("same");
|
| 363 |
|
|
DrawPrelim();
|
| 364 |
fronga |
1.7 |
legc = make_legend();
|
| 365 |
fronga |
1.10 |
legc->SetX1(0.54);
|
| 366 |
|
|
legc->SetHeader(((string)"N_{jets} < "+snjets.str()+", "+MetHeader.str()).c_str());
|
| 367 |
|
|
legc->AddEntry(mllscon,"Data","PL");
|
| 368 |
|
|
legc->AddEntry(control_prediction,"All bg","L");
|
| 369 |
fronga |
1.16 |
legc->AddEntry(zlineshapeControl,"Z lineshape","L");
|
| 370 |
fronga |
1.7 |
legc->AddEntry(mllOscon,"bg without Z","L");
|
| 371 |
|
|
legc->AddEntry(stat2j,"stat. uncert.","F");
|
| 372 |
fronga |
1.10 |
legc->AddEntry(cr1box,"CR1","F");
|
| 373 |
|
|
legc->AddEntry(cr2box,"CR2","F");
|
| 374 |
|
|
legc->Draw();
|
| 375 |
|
|
cr1box->Draw();
|
| 376 |
|
|
cr2box->Draw();
|
| 377 |
|
|
CompleteSave(tcan,saveasCon.str());
|
| 378 |
|
|
} else {
|
| 379 |
|
|
TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
|
| 380 |
|
|
rcan->cd();
|
| 381 |
|
|
control_prediction->Draw("hist");
|
| 382 |
|
|
mcMllscon->Draw("same");
|
| 383 |
|
|
control_prediction->Draw("histo,same");
|
| 384 |
|
|
mllscon->Draw("same");
|
| 385 |
|
|
DrawPrelim();
|
| 386 |
|
|
legc = allsamples.allbglegend();
|
| 387 |
|
|
legc->SetX1(0.54);
|
| 388 |
|
|
legc->SetHeader(((string)"N_{jets} < "+snjets.str()+", "+MetHeader.str()).c_str());
|
| 389 |
|
|
legc->AddEntry(control_prediction,"All bg","L");
|
| 390 |
|
|
legc->AddEntry(cr1box,"CR1","F");
|
| 391 |
|
|
legc->AddEntry(cr2box,"CR2","F");
|
| 392 |
|
|
legc->Draw();
|
| 393 |
|
|
cr1box->Draw();
|
| 394 |
|
|
cr2box->Draw();
|
| 395 |
|
|
save_with_ratio( mllscon, *mcMllscon, rcan, saveasCon.str());
|
| 396 |
|
|
}
|
| 397 |
buchmann |
1.1 |
|
| 398 |
fronga |
1.7 |
// 6. - Opposite-flavour data/MC comparison
|
| 399 |
|
|
if ( doMC ) {
|
| 400 |
fronga |
1.10 |
TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
|
| 401 |
|
|
rcan->cd();
|
| 402 |
fronga |
1.7 |
mllOsig->SetLineColor(kBlack);
|
| 403 |
|
|
mllOsig->Draw();
|
| 404 |
|
|
mcMllOsig->Draw("same");
|
| 405 |
|
|
mllOsig->Draw("same");
|
| 406 |
|
|
TLegend *legsdm = allsamples.allbglegend();
|
| 407 |
|
|
legsdm->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
|
| 408 |
|
|
legsdm->SetX1(0.54);
|
| 409 |
|
|
legsdm->Draw();
|
| 410 |
|
|
stringstream saveasSigOF;
|
| 411 |
|
|
saveasSigOF << "MetPlots/mll_sig_of_" << cutat << "__" << name;
|
| 412 |
fronga |
1.10 |
save_with_ratio( mllOsig, *mcMllOsig, rcan, saveasSigOF.str());
|
| 413 |
fronga |
1.7 |
|
| 414 |
fronga |
1.10 |
rcan = new TPad("rcan","rcan",0,0,1,1);
|
| 415 |
|
|
rcan->cd();
|
| 416 |
fronga |
1.7 |
mllOscon->SetLineColor(kBlack);
|
| 417 |
|
|
mllOscon->Draw();
|
| 418 |
|
|
mcMllOscon->Draw("same");
|
| 419 |
|
|
mllOscon->Draw("same");
|
| 420 |
|
|
TLegend *legcdm = allsamples.allbglegend();
|
| 421 |
|
|
legcdm->SetHeader(((string)"N_{jets}<"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
|
| 422 |
|
|
legcdm->SetX1(0.54);
|
| 423 |
|
|
legcdm->Draw();
|
| 424 |
|
|
stringstream saveasConOF;
|
| 425 |
|
|
saveasConOF << "MetPlots/mll_con_of_" << cutat << "__" << name;
|
| 426 |
fronga |
1.10 |
save_with_ratio( mllOscon, *mcMllOscon, rcan, saveasConOF.str());
|
| 427 |
|
|
|
| 428 |
fronga |
1.7 |
delete legsdm;
|
| 429 |
|
|
delete legcdm;
|
| 430 |
fronga |
1.10 |
}
|
| 431 |
fronga |
1.7 |
|
| 432 |
fronga |
1.10 |
// Memory clean-up
|
| 433 |
|
|
if (doMC) {
|
| 434 |
fronga |
1.7 |
delete mcMllscon;
|
| 435 |
|
|
delete mcMllOscon;
|
| 436 |
|
|
delete mcMllsig;
|
| 437 |
fronga |
1.8 |
delete mcMllsigEE;
|
| 438 |
|
|
delete mcMllsigMM;
|
| 439 |
fronga |
1.7 |
delete mcMllOsig;
|
| 440 |
|
|
}
|
| 441 |
buchmann |
1.1 |
|
| 442 |
|
|
delete cr1box;
|
| 443 |
|
|
delete cr2box;
|
| 444 |
|
|
delete srbox;
|
| 445 |
|
|
delete legc;
|
| 446 |
|
|
delete leg;
|
| 447 |
fronga |
1.7 |
|
| 448 |
buchmann |
1.1 |
delete mllscon;
|
| 449 |
|
|
delete mllOscon;
|
| 450 |
|
|
delete mllsig;
|
| 451 |
fronga |
1.8 |
delete mllsigEE;
|
| 452 |
|
|
delete mllsigMM;
|
| 453 |
buchmann |
1.1 |
delete mllOsig;
|
| 454 |
fronga |
1.7 |
delete zlineshape;
|
| 455 |
fronga |
1.16 |
delete zlineshapeControl;
|
| 456 |
buchmann |
1.6 |
delete tcan;
|
| 457 |
buchmann |
1.1 |
}
|
| 458 |
|
|
|
| 459 |
fronga |
1.14 |
void DoMetPlots(string datajzb, string mcjzb) {
|
| 460 |
fronga |
1.7 |
float metCuts[] = { 100., 150. };
|
| 461 |
|
|
int jetCuts[] = { 3, 2 };
|
| 462 |
fronga |
1.11 |
//int jetCuts[] = { 3, 3 };
|
| 463 |
fronga |
1.7 |
string leptCuts[] = { "pt1>20&&pt2>20&&abs(eta1)<1.4&&abs(eta2)<1.4",
|
| 464 |
|
|
"pt1>20&&pt2>10"
|
| 465 |
|
|
};
|
| 466 |
|
|
bool nomc(0),domc(1);
|
| 467 |
|
|
for ( int i=0; i<2; ++i ) {
|
| 468 |
fronga |
1.15 |
ProduceMetPlotsWithCut(TCut(("mll>20&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],nomc);
|
| 469 |
fronga |
1.14 |
ProduceMetPlotsWithCut(TCut(("mll>20&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],domc);
|
| 470 |
fronga |
1.15 |
//continue;
|
| 471 |
fronga |
1.14 |
stringstream jzbcut;
|
| 472 |
|
|
jzbcut << "((is_data&&("<<datajzb<<")>0)||(!is_data&&("<<mcjzb<<")>0))";
|
| 473 |
|
|
ProduceMetPlotsWithCut(TCut((jzbcut.str()+"&&mll>20&&"+leptCuts[i]).c_str()),"JZBpos",metCuts[i], jetCuts[i],domc);
|
| 474 |
fronga |
1.11 |
//continue;
|
| 475 |
fronga |
1.7 |
if (!PlottingSetup::is53reco) { // Old 5_2
|
| 476 |
fronga |
1.14 |
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i], nomc);
|
| 477 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i], nomc);
|
| 478 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i], domc);
|
| 479 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i], domc);
|
| 480 |
fronga |
1.7 |
} else {
|
| 481 |
fronga |
1.14 |
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],nomc);
|
| 482 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],nomc);
|
| 483 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],domc);
|
| 484 |
|
|
ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],domc);
|
| 485 |
fronga |
1.7 |
}
|
| 486 |
|
|
}
|
| 487 |
buchmann |
1.1 |
}
|
| 488 |
buchmann |
1.12 |
|
| 489 |
buchmann |
1.13 |
void compute_r_in_out() {
|
| 490 |
|
|
int nbins=10;
|
| 491 |
|
|
float xmin=10;
|
| 492 |
|
|
float xmax=10;
|
| 493 |
|
|
TCut InCut("mll>71&&mll<111&&pfJetGoodNum40>0");
|
| 494 |
|
|
TCut OutCut("mll>20&&mll<70&&pfJetGoodNum40>0");
|
| 495 |
|
|
|
| 496 |
|
|
TH1F *mllIN =allsamples.Draw("mllIN", "mll",nbins,xmin,xmax,"m_{ee} [GeV]", "events",TCut(cutOSSF&&InCut),mc,PlottingSetup::luminosity,allsamples.FindSample("DYJetsToLLNoTau"));
|
| 497 |
|
|
TH1F *mllOUT =allsamples.Draw("mllOUT","mll",nbins,xmin,xmax,"m_{ee} [GeV]", "events",TCut(cutOSSF&&OutCut),mc,PlottingSetup::luminosity,allsamples.FindSample("DYJetsToLLNoTau"));
|
| 498 |
|
|
|
| 499 |
|
|
cout << "IN: " << mllIN->Integral() << endl;
|
| 500 |
|
|
cout << "OUT: " << mllOUT->Integral() << endl;
|
| 501 |
|
|
cout << "r_oi: " <<((float) mllOUT->Integral()) / mllIN->Integral()<< endl;
|
| 502 |
|
|
|
| 503 |
|
|
delete mllIN;
|
| 504 |
|
|
delete mllOUT;
|
| 505 |
|
|
|
| 506 |
|
|
}
|
| 507 |
|
|
|
| 508 |
buchmann |
1.17 |
|
| 509 |
|
|
|
| 510 |
|
|
void LabelHisto(TH1 *MET_ratio,string titlex, string titley) {
|
| 511 |
|
|
MET_ratio->GetXaxis()->SetTitle(titlex.c_str());
|
| 512 |
|
|
MET_ratio->GetXaxis()->CenterTitle();
|
| 513 |
|
|
MET_ratio->GetYaxis()->SetTitle(titley.c_str());
|
| 514 |
|
|
MET_ratio->GetYaxis()->CenterTitle();
|
| 515 |
|
|
}
|
| 516 |
|
|
|
| 517 |
|
|
TH1F* GetPredictedAndObservedMetShapes(TCut JetCut, string sPositiveCut,string sNegativeCut,string CorrectedMet,string ObservedMet, string JZBPosvar, string JZBNegvar, float MetCut, int is_data, bool isDYonly) {
|
| 518 |
|
|
|
| 519 |
|
|
//Steps:
|
| 520 |
|
|
// 1) Prepare samples and histo definition (with "optimal" binning for MET cut)
|
| 521 |
|
|
// 2) Fill MET histograms
|
| 522 |
|
|
// 3) Fill JZB histograms
|
| 523 |
|
|
// 4) Draw them and store them
|
| 524 |
|
|
// 5) return predicted MET distribution as is (i.e. not scaled by factor of 2!)
|
| 525 |
|
|
|
| 526 |
|
|
cout << "** SUMMARY BEFORE STARTING DRAWING **" << endl;
|
| 527 |
|
|
cout << "MET variable: " << ObservedMet << endl;
|
| 528 |
|
|
cout << "Corr. MET var:" << CorrectedMet << endl;
|
| 529 |
|
|
cout << "JZB pos. var: " << JZBPosvar << endl;
|
| 530 |
|
|
cout << "JZB neg. var: " << JZBNegvar << endl;
|
| 531 |
|
|
//Step 1: Prepare samples and histo definition
|
| 532 |
|
|
vector<int> SelectedSamples;
|
| 533 |
|
|
if(is_data==mc&&isDYonly) {
|
| 534 |
|
|
SelectedSamples=allsamples.FindSample("Z_em_DYJetsToL");
|
| 535 |
|
|
if(SelectedSamples.size()==0) {
|
| 536 |
|
|
write_error(__FUNCTION__,"Cannot continue, there seems to be no DY sample without Taus - goodbye!");
|
| 537 |
|
|
assert(SelectedSamples.size()>0);
|
| 538 |
|
|
}
|
| 539 |
|
|
}
|
| 540 |
|
|
|
| 541 |
|
|
float DisplayedBinSize=10.0; // this is the bin size that we use for plotting
|
| 542 |
|
|
float JZB_Met_systematic=0.25; // systematic uncertainty (e.g. 0.25 for 25%)
|
| 543 |
|
|
|
| 544 |
|
|
float BinWidth=(MetCut)/20; // we want 20 bins up to the MET cut
|
| 545 |
|
|
if(BinWidth<1) BinWidth=1.0; // unless that implies that we have some weird binning (bins thinner than a GeV for instance)
|
| 546 |
|
|
float xmin=0;
|
| 547 |
|
|
float xmax=110;
|
| 548 |
|
|
if(MetCut>xmax) xmax=MetCut;
|
| 549 |
|
|
int nbins=int((xmax-xmin)/BinWidth);
|
| 550 |
|
|
stringstream basiccut;
|
| 551 |
|
|
basiccut << (const char*) JetCut << "&&" << (const char*) Restrmasscut << "&&" << (const char*) leptoncut << "&&pt1>20&&pt2>20";
|
| 552 |
|
|
|
| 553 |
|
|
|
| 554 |
|
|
stringstream cMET_observed;
|
| 555 |
|
|
cMET_observed << "(" << basiccut.str() << "&&(" << sPositiveCut << ")&&" << (const char*) cutOSSF << ")";
|
| 556 |
|
|
stringstream cMET_ttbar_pred;
|
| 557 |
|
|
cMET_ttbar_pred << "(" << basiccut.str() << "&&(" << sPositiveCut << ")&&" << (const char*) cutOSOF << ")";
|
| 558 |
|
|
stringstream cMET_osof_pred;
|
| 559 |
|
|
cMET_osof_pred << "(" << basiccut.str() << "&&(" << sNegativeCut << ")&&" << (const char*) cutOSOF << ")";
|
| 560 |
|
|
stringstream cMET_ossf_pred;
|
| 561 |
|
|
cMET_ossf_pred << "(" << basiccut.str() << "&&(" << sNegativeCut << ")&&" << (const char*) cutOSSF << ")";
|
| 562 |
|
|
|
| 563 |
|
|
write_warning(__FUNCTION__,"Once the rush is over you might want to define the potential sidebands ... ");
|
| 564 |
|
|
//Step 2: Fill Met histograms
|
| 565 |
|
|
TCanvas *PredictionCanvas = new TCanvas("PredictionCanvas","PredictionCanvas");
|
| 566 |
|
|
TH1F *MET_observed = allsamples.Draw("MET_observed",ObservedMet,nbins,xmin,xmax,"MET [GeV]","events",
|
| 567 |
|
|
TCut(cMET_observed.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 568 |
|
|
TH1F *MET_ossf_pred = allsamples.Draw("MET_ossf_pred",CorrectedMet,nbins,xmin,xmax,"MET [GeV]","events",
|
| 569 |
|
|
TCut(cMET_ossf_pred.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 570 |
|
|
TH1F *MET_osof_pred = allsamples.Draw("MET_osof_pred",CorrectedMet,nbins,xmin,xmax,"MET [GeV]","events",
|
| 571 |
|
|
TCut(cMET_osof_pred.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 572 |
|
|
TH1F *MET_ttbar_pred= allsamples.Draw("MET_ttbar_pred",ObservedMet,nbins,xmin,xmax,"MET [GeV]","events",
|
| 573 |
|
|
TCut(cMET_ttbar_pred.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 574 |
|
|
|
| 575 |
|
|
TH1F *MET_predicted=(TH1F*)MET_ossf_pred->Clone("MET_predicted");
|
| 576 |
|
|
MET_predicted->Add(MET_osof_pred,-1);
|
| 577 |
|
|
MET_predicted->Add(MET_ttbar_pred);
|
| 578 |
|
|
MET_predicted->SetLineColor(kRed);
|
| 579 |
|
|
MET_observed->SetLineColor(kBlack);
|
| 580 |
|
|
|
| 581 |
|
|
TH1F *MET_Z_prediction=(TH1F*)MET_ossf_pred->Clone("MET_Z_prediction");
|
| 582 |
|
|
MET_Z_prediction->Add(MET_osof_pred,-1);
|
| 583 |
|
|
MET_Z_prediction->SetLineColor(kBlue);
|
| 584 |
|
|
|
| 585 |
|
|
LabelHisto(MET_observed,"MET (GeV)","events");
|
| 586 |
|
|
|
| 587 |
|
|
//Step 3: Fill JZB histograms
|
| 588 |
|
|
TH1F *JZB_observed = allsamples.Draw("JZB_observed",JZBPosvar,nbins,xmin,xmax,"JZB [GeV]","events",
|
| 589 |
|
|
TCut(cMET_observed.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 590 |
|
|
TH1F *JZB_ossf_pred = allsamples.Draw("JZB_ossf_pred",JZBNegvar,nbins,xmin,xmax,"JZB [GeV]","events",
|
| 591 |
|
|
TCut(cMET_ossf_pred.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 592 |
|
|
TH1F *JZB_osof_pred = allsamples.Draw("JZB_osof_pred",JZBNegvar,nbins,xmin,xmax,"JZB [GeV]","events",
|
| 593 |
|
|
TCut(cMET_osof_pred.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 594 |
|
|
TH1F *JZB_ttbar_pred= allsamples.Draw("JZB_ttbar_pred",JZBPosvar,nbins,xmin,xmax,"JZB [GeV]","events",
|
| 595 |
|
|
TCut(cMET_ttbar_pred.str().c_str()),is_data,PlottingSetup::luminosity,SelectedSamples);
|
| 596 |
|
|
|
| 597 |
|
|
TH1F *JZB_predicted=(TH1F*)JZB_ossf_pred->Clone("JZB_predicted");
|
| 598 |
|
|
JZB_predicted->Add(JZB_osof_pred,-1);
|
| 599 |
|
|
JZB_predicted->Add(JZB_ttbar_pred);
|
| 600 |
|
|
JZB_predicted->SetLineColor(kRed);
|
| 601 |
|
|
JZB_observed->SetLineColor(kBlack);
|
| 602 |
|
|
|
| 603 |
|
|
TH1F *JZB_Z_prediction=(TH1F*)JZB_ossf_pred->Clone("JZB_Z_prediction");
|
| 604 |
|
|
JZB_Z_prediction->Add(JZB_osof_pred,-1);
|
| 605 |
|
|
MET_Z_prediction->SetLineColor(kBlue);
|
| 606 |
|
|
|
| 607 |
|
|
LabelHisto(JZB_observed,"JZB (GeV)","events");
|
| 608 |
|
|
|
| 609 |
|
|
// Step 4: Draw them and store them
|
| 610 |
|
|
PredictionCanvas->cd();
|
| 611 |
|
|
TPad *toppad = new TPad("toppad","toppad",0.0,0.3,1.0,1.0);
|
| 612 |
|
|
toppad->Draw();
|
| 613 |
|
|
PredictionCanvas->cd();
|
| 614 |
|
|
TPad *bottompad = new TPad("bottompad","bottompad",0.0,0.0,1.0,0.3);
|
| 615 |
|
|
bottompad->Draw();
|
| 616 |
|
|
PredictionCanvas->cd();
|
| 617 |
|
|
|
| 618 |
|
|
TLegend *legend = new TLegend(0.6,0.6,0.89,0.89);
|
| 619 |
|
|
|
| 620 |
|
|
MET_ttbar_pred->SetLineColor(TColor::GetColor("#005C00"));
|
| 621 |
|
|
JZB_ttbar_pred->SetLineColor(TColor::GetColor("#005C00"));
|
| 622 |
|
|
|
| 623 |
|
|
legend->SetFillColor(kWhite);
|
| 624 |
|
|
legend->SetBorderSize(0);
|
| 625 |
|
|
legend->AddEntry(MET_predicted,"prediction","l");
|
| 626 |
|
|
legend->AddEntry(MET_observed,"observed","p");
|
| 627 |
|
|
legend->AddEntry(MET_Z_prediction,"predicted Z","l");
|
| 628 |
|
|
legend->AddEntry(MET_ttbar_pred,"OF-based prediction","l");
|
| 629 |
|
|
|
| 630 |
|
|
if(is_data==mc) legend->SetHeader("Simulation:");
|
| 631 |
|
|
if(is_data==mc&&isDYonly) legend->SetHeader("DY #rightarrow ee,#mu#mu only:");
|
| 632 |
|
|
if(is_data==data) legend->SetHeader("Data:");
|
| 633 |
|
|
|
| 634 |
|
|
stringstream SaveJZBname;
|
| 635 |
|
|
stringstream SaveMETname;
|
| 636 |
|
|
if(is_data==data) {
|
| 637 |
|
|
SaveJZBname << "MetPrediction/JZBdistribution_Data_METCutAt" << MetCut;
|
| 638 |
|
|
SaveMETname << "MetPrediction/METdistribution_Data_METCutAt" << MetCut;
|
| 639 |
|
|
}
|
| 640 |
|
|
if(is_data==mc&&!isDYonly) {
|
| 641 |
|
|
SaveJZBname << "MetPrediction/JZBdistribution_FullMC_METCutAt" << MetCut;
|
| 642 |
|
|
SaveMETname << "MetPrediction/METdistribution_FullMC_METCutAt" << MetCut;
|
| 643 |
|
|
}
|
| 644 |
|
|
if(is_data==mc&&isDYonly) {
|
| 645 |
|
|
SaveJZBname << "MetPrediction/JZBdistribution_DYMC_METCutAt" << MetCut;
|
| 646 |
|
|
SaveMETname << "MetPrediction/METdistribution_DYMC_METCutAt" << MetCut;
|
| 647 |
|
|
}
|
| 648 |
|
|
|
| 649 |
|
|
TH1F *ZpredClone = (TH1F*)MET_Z_prediction->Clone("ZpredClone");
|
| 650 |
|
|
ZpredClone->SetLineColor(kBlue);
|
| 651 |
|
|
MET_observed->Rebin(int(DisplayedBinSize/BinWidth));
|
| 652 |
|
|
ZpredClone->Rebin(int(DisplayedBinSize/BinWidth));
|
| 653 |
|
|
MET_predicted->Rebin(int(DisplayedBinSize/BinWidth));
|
| 654 |
|
|
MET_ttbar_pred->Rebin(int(DisplayedBinSize/BinWidth));
|
| 655 |
|
|
|
| 656 |
|
|
TH1F *JZBZpredClone = (TH1F*)JZB_Z_prediction->Clone("ZpredClone");
|
| 657 |
|
|
JZBZpredClone->SetLineColor(kBlue);
|
| 658 |
|
|
JZB_observed->Rebin(int(DisplayedBinSize/BinWidth));
|
| 659 |
|
|
JZBZpredClone->Rebin(int(DisplayedBinSize/BinWidth));
|
| 660 |
|
|
JZB_predicted->Rebin(int(DisplayedBinSize/BinWidth));
|
| 661 |
|
|
JZB_ttbar_pred->Rebin(int(DisplayedBinSize/BinWidth));
|
| 662 |
|
|
|
| 663 |
|
|
TH1F *JZB_ratio = (TH1F*)JZB_observed->Clone("JZB_ratio");
|
| 664 |
|
|
JZB_ratio->Divide(JZB_predicted);
|
| 665 |
|
|
LabelHisto(JZB_ratio,"JZB (GeV)","obs/pred");
|
| 666 |
|
|
TH1F *MET_ratio = (TH1F*)MET_observed->Clone("MET_ratio");
|
| 667 |
|
|
MET_ratio->Divide(MET_predicted);
|
| 668 |
|
|
MET_observed->SetMinimum(0);
|
| 669 |
|
|
JZB_observed->SetMinimum(0);
|
| 670 |
|
|
LabelHisto(MET_ratio,"MET (GeV)","obs/pred");
|
| 671 |
|
|
TBox *sysenvelope = new TBox(xmin,1.0-JZB_Met_systematic,xmax,1.0+JZB_Met_systematic);
|
| 672 |
|
|
sysenvelope->SetFillColor(TColor::GetColor("#82FA58")); // light green
|
| 673 |
|
|
sysenvelope->SetLineWidth(0);
|
| 674 |
|
|
|
| 675 |
|
|
toppad->cd();
|
| 676 |
buchmann |
1.18 |
// toppad->SetLogy(1);
|
| 677 |
buchmann |
1.17 |
MET_observed->Draw("e1");
|
| 678 |
|
|
MET_ttbar_pred->Draw("histo,same");
|
| 679 |
|
|
ZpredClone->Draw("histo,same");
|
| 680 |
|
|
MET_predicted->Draw("histo,same");
|
| 681 |
|
|
MET_observed->Draw("e1,same");
|
| 682 |
|
|
legend->Draw();
|
| 683 |
|
|
if(is_data==data) DrawPrelim();
|
| 684 |
|
|
else DrawMCPrelim();
|
| 685 |
|
|
|
| 686 |
|
|
bottompad->cd();
|
| 687 |
|
|
MET_ratio->GetYaxis()->SetRangeUser(0,2);
|
| 688 |
|
|
MET_ratio->Draw("e1");
|
| 689 |
|
|
sysenvelope->Draw();
|
| 690 |
|
|
MET_ratio->Draw("AXIS,same");
|
| 691 |
|
|
MET_ratio->Draw("e1,same");
|
| 692 |
|
|
TLine *metl = new TLine(xmin,1.0,xmax,1.0);
|
| 693 |
|
|
metl->SetLineColor(kBlue);
|
| 694 |
|
|
metl->Draw();
|
| 695 |
|
|
CompleteSave(PredictionCanvas,SaveMETname.str());
|
| 696 |
|
|
|
| 697 |
|
|
toppad->cd();
|
| 698 |
|
|
JZB_observed->Draw("e1");
|
| 699 |
|
|
JZB_ttbar_pred->Draw("histo,same");
|
| 700 |
|
|
JZBZpredClone->Draw("histo,same");
|
| 701 |
|
|
JZB_predicted->Draw("histo,same");
|
| 702 |
|
|
JZB_observed->Draw("e1,same");
|
| 703 |
|
|
legend->Draw();
|
| 704 |
|
|
if(is_data==data) DrawPrelim();
|
| 705 |
|
|
else DrawMCPrelim();
|
| 706 |
|
|
|
| 707 |
|
|
bottompad->cd();
|
| 708 |
|
|
JZB_ratio->GetYaxis()->SetRangeUser(0,2);
|
| 709 |
|
|
JZB_ratio->Draw("e1");
|
| 710 |
|
|
sysenvelope->Draw();
|
| 711 |
|
|
JZB_ratio->Draw("AXIS,same");
|
| 712 |
|
|
JZB_ratio->Draw("e1,same");
|
| 713 |
|
|
metl->Draw();
|
| 714 |
|
|
|
| 715 |
|
|
CompleteSave(PredictionCanvas,SaveJZBname.str());
|
| 716 |
|
|
|
| 717 |
|
|
delete PredictionCanvas;
|
| 718 |
|
|
delete MET_observed;
|
| 719 |
|
|
delete MET_predicted;
|
| 720 |
|
|
//do NOT delete MET_Z_prediction (it's the return value)
|
| 721 |
|
|
delete MET_osof_pred;
|
| 722 |
|
|
delete MET_ossf_pred;
|
| 723 |
|
|
delete MET_ttbar_pred;
|
| 724 |
|
|
|
| 725 |
|
|
delete JZB_observed;
|
| 726 |
|
|
delete JZB_predicted;
|
| 727 |
|
|
delete JZB_osof_pred;
|
| 728 |
|
|
delete JZB_ossf_pred;
|
| 729 |
|
|
delete JZB_Z_prediction;
|
| 730 |
|
|
delete JZB_ttbar_pred;
|
| 731 |
|
|
|
| 732 |
|
|
return MET_Z_prediction;
|
| 733 |
|
|
}
|
| 734 |
|
|
|
| 735 |
|
|
float Get_Met_Z_Prediction(TCut JetCut, float MetCut, int isdata, bool isDYonly) {
|
| 736 |
|
|
dout << "Going to compute Z region prediction for a MET cut at " << MetCut << " GeV" << endl;
|
| 737 |
|
|
// Steps:
|
| 738 |
|
|
// 1) Get peak without Pt-correction
|
| 739 |
|
|
// 2) use the peak for sample splitting (|jzb-epsilon|>epsilon)
|
| 740 |
|
|
// and for MET distribution shifting (MET+epsilon)
|
| 741 |
|
|
// 3) compute the estimate for MET>MetCut
|
| 742 |
|
|
|
| 743 |
|
|
// do this for data if isdata==data, otherwise for MC (full closure if isDYonly==false, otherwise use only DY sample)
|
| 744 |
|
|
|
| 745 |
|
|
// Step 1) Get peak without Pt-correction
|
| 746 |
|
|
|
| 747 |
|
|
// Do it without Pt correction
|
| 748 |
|
|
|
| 749 |
|
|
float MCPeakNoPtCorr=0,MCPeakErrorNoPtCorr=0,DataPeakNoPtCorr=0,DataPeakErrorNoPtCorr=0,MCSigma=0,DataSigma=0;
|
| 750 |
|
|
stringstream resultsNoPtCorr;
|
| 751 |
|
|
stringstream NoPtCorrdatajzb;
|
| 752 |
|
|
stringstream NoPtCorrmcjzb;
|
| 753 |
|
|
|
| 754 |
|
|
string originalJZBvariableDATA = PlottingSetup::jzbvariabledata;
|
| 755 |
|
|
string originalJZBvariableMC = PlottingSetup::jzbvariablemc;
|
| 756 |
|
|
|
| 757 |
|
|
PlottingSetup::jzbvariabledata="jzb[1]";
|
| 758 |
|
|
PlottingSetup::jzbvariablemc="jzb[1]";
|
| 759 |
|
|
|
| 760 |
|
|
stringstream mcjzbNoPtCorr;
|
| 761 |
buchmann |
1.18 |
find_peaks(MCPeakNoPtCorr,MCPeakErrorNoPtCorr, DataPeakNoPtCorr,DataPeakErrorNoPtCorr,resultsNoPtCorr,true,NoPtCorrdatajzb,NoPtCorrmcjzb,(const char*) JetCut, true);
|
| 762 |
|
|
|
| 763 |
buchmann |
1.17 |
// write_warning(__FUNCTION__,"Temporarily deactivated peak finding, setting it to a manual default");MCPeakNoPtCorr=0.547127;DataPeakNoPtCorr=-1.07825;
|
| 764 |
|
|
|
| 765 |
|
|
PlottingSetup::jzbvariabledata=originalJZBvariableDATA;
|
| 766 |
|
|
PlottingSetup::jzbvariablemc=originalJZBvariableMC;
|
| 767 |
|
|
|
| 768 |
|
|
float PeakPosition=0;
|
| 769 |
|
|
|
| 770 |
|
|
if(isdata==data) {
|
| 771 |
|
|
PeakPosition=DataPeakNoPtCorr;
|
| 772 |
|
|
dout << "Found peak in data at " << DataPeakNoPtCorr << " +/- " << DataPeakErrorNoPtCorr << " ; will use this result (" << PeakPosition << ")" << endl;
|
| 773 |
|
|
} else {
|
| 774 |
|
|
PeakPosition=MCPeakNoPtCorr;
|
| 775 |
|
|
dout << "Found peak in mc at " << MCPeakNoPtCorr << " +/- " << MCPeakErrorNoPtCorr << " ; will use this result (" << PeakPosition << ")" << endl;
|
| 776 |
|
|
}
|
| 777 |
|
|
|
| 778 |
|
|
// Step 2: Use peak for sample splitting and MET shifting
|
| 779 |
|
|
|
| 780 |
|
|
string CorrectedMet="met[4]+"+any2string(abs(2*(PeakPosition)));
|
| 781 |
|
|
if(2*(PeakPosition)<0) CorrectedMet="met[4]-"+any2string(abs(2*(PeakPosition)));
|
| 782 |
|
|
|
| 783 |
|
|
stringstream sPositiveCut;
|
| 784 |
|
|
if(PeakPosition>0) sPositiveCut << "((jzb[1]-" << PeakPosition << ")>" << PeakPosition << ")";
|
| 785 |
|
|
else sPositiveCut << "((jzb[1])>0)";
|
| 786 |
|
|
|
| 787 |
|
|
stringstream sNegativeCut;
|
| 788 |
|
|
if(PeakPosition<0) sNegativeCut << "((jzb[1]+" << abs(PeakPosition) << ")<" << PeakPosition << ")";
|
| 789 |
|
|
else sNegativeCut << "((jzb[1])<0)";
|
| 790 |
|
|
|
| 791 |
|
|
string ObservedMet="met[4]";
|
| 792 |
|
|
|
| 793 |
|
|
stringstream JZBPosvar;
|
| 794 |
|
|
JZBPosvar<<"(jzb[1]";
|
| 795 |
|
|
if(PeakPosition>0) JZBPosvar << "-" << PeakPosition << ")";
|
| 796 |
|
|
else JZBPosvar << ")";
|
| 797 |
|
|
stringstream JZBNegvar;
|
| 798 |
|
|
JZBNegvar<<"-(jzb[1]";
|
| 799 |
|
|
if(PeakPosition>0) JZBNegvar << ")";
|
| 800 |
|
|
else JZBNegvar << " + " << abs(PeakPosition) << ")";
|
| 801 |
|
|
|
| 802 |
|
|
// Step 3: Compute estimate
|
| 803 |
|
|
TH1F *predicted = GetPredictedAndObservedMetShapes(JetCut, sPositiveCut.str(),sNegativeCut.str(),CorrectedMet,ObservedMet,JZBPosvar.str(),JZBNegvar.str(), MetCut, isdata, isDYonly);
|
| 804 |
|
|
float ZregionZestimate=0;
|
| 805 |
|
|
for(int ibin=1;ibin<=(int)predicted->GetNbinsX();ibin++) {
|
| 806 |
|
|
if(predicted->GetBinLowEdge(ibin)+predicted->GetBinWidth(ibin)>MetCut) {
|
| 807 |
|
|
ZregionZestimate+=2*(predicted->GetBinContent(ibin));
|
| 808 |
buchmann |
1.18 |
cout << "Added " << 2*(predicted->GetBinContent(ibin)) << " to Z prediction from bin [" << predicted->GetBinLowEdge(ibin) << " , " << predicted->GetBinLowEdge(ibin)+predicted->GetBinWidth(ibin) << "] ; ZregionZestimate now: " << ZregionZestimate << endl;
|
| 809 |
buchmann |
1.17 |
}
|
| 810 |
|
|
}
|
| 811 |
|
|
|
| 812 |
|
|
return ZregionZestimate;
|
| 813 |
|
|
}
|
| 814 |
|
|
|
| 815 |
buchmann |
1.12 |
void ExperimentalMetPrediction() {
|
| 816 |
buchmann |
1.17 |
|
| 817 |
|
|
stringstream snjets;
|
| 818 |
|
|
snjets << 3;
|
| 819 |
buchmann |
1.12 |
|
| 820 |
buchmann |
1.17 |
TCut nJetsSignal(PlottingSetup::basicqualitycut&&("pfJetGoodNum40>="+snjets.str()).c_str());
|
| 821 |
|
|
TCut nJetsControl(("pfJetGoodID[0]!=0&&pfJetGoodNum40<"+snjets.str()).c_str());
|
| 822 |
|
|
|
| 823 |
|
|
cout << " ***** TESTING Z PREDICTION ***** " << endl;
|
| 824 |
|
|
cout << "Notation (you can copy & paste this to evaluate it further)" << endl;
|
| 825 |
|
|
cout << "Cut;Data;MC;DY;" << endl;
|
| 826 |
buchmann |
1.18 |
// for(float maxMET=10;maxMET<=110;maxMET+=20) {
|
| 827 |
|
|
float maxMET=100;
|
| 828 |
|
|
float MCEstimate = Get_Met_Z_Prediction(nJetsSignal,maxMET, mc, false);
|
| 829 |
|
|
float DYEstimate = Get_Met_Z_Prediction(nJetsSignal,maxMET, mc, true);
|
| 830 |
buchmann |
1.17 |
float DataEstimate = Get_Met_Z_Prediction(nJetsSignal,maxMET, data, false);
|
| 831 |
buchmann |
1.18 |
// cout << maxMET << ";" << DataEstimate << ";" << MCEstimate << ";" << DYEstimate << endl;
|
| 832 |
|
|
cout << "Found estimate in data of " << DataEstimate << endl;
|
| 833 |
|
|
// DataEstimate = Get_Met_Z_Prediction(nJetsSignal,maxMET, data, false);
|
| 834 |
|
|
cout << "Found estimate in data of " << DataEstimate << endl;
|
| 835 |
|
|
// }
|
| 836 |
buchmann |
1.12 |
}
|
| 837 |
buchmann |
1.17 |
|
