Plotting/Modules/MetPlotting.C

#include <iostream>

using namespace std;

TGraphErrors* MakeErrorGraph(TH1F *histo) { 
  
  float dx[histo->GetNbinsX()];
  float dy[histo->GetNbinsX()];
  float x[histo->GetNbinsX()];
  float y[histo->GetNbinsX()];
  for(int i=1;i<=histo->GetNbinsX();i++) {
    x[i-1]=histo->GetBinCenter(i);
    y[i-1]=histo->GetBinContent(i);
    if(i>1) dx[i-1]=(histo->GetBinCenter(i)-histo->GetBinCenter(i-1))/2.0;
    else dx[i-1]=(histo->GetBinCenter(i+1)-histo->GetBinCenter(i))/2.0;
    dy[i-1]=histo->GetBinError(i);
  }
  
  TGraphErrors *gr = new TGraphErrors(histo->GetNbinsX(),x,y,dx,dy);
  gr->SetFillColor(TColor::GetColor("#2E9AFE"));
  return gr;
}
  
void ProduceMetPlotsWithCut(TCut cut, string name, float cutat, int njets, bool doMC = false ) {
  TCanvas *tcan = new TCanvas("tcan","tcan");
  cout << "Doing met plots" << endl;
  stringstream MetBaseCuts;
  MetBaseCuts << "met[4]>" << cutat << "&&" << cut.GetTitle();
  stringstream snjets;
  snjets << njets;
  TCut MetBaseCut(MetBaseCuts.str().c_str());
  TCut nJetsSignal(PlottingSetup::basicqualitycut&&("pfJetGoodNum40>="+snjets.str()).c_str());
  TCut nJetsControl(("pfJetGoodID[0]!=0&&pfJetGoodNum40<"+snjets.str()).c_str());
  
  //compute SF / OF rate in (CR1+CR2), should give 0.941 +/- 0.05

  // Create histograms
  //int nbins = 30;
  int nbins = 60;
  float xmin=15., xmax = 315.;
  TH1F *mllsigEE =allsamples.Draw("mllsigEE","mll",nbins,xmin,xmax,"m_{ee} [GeV]",    "events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==0"),data,PlottingSetup::luminosity);
  TH1F *mllsigMM =allsamples.Draw("mllsigMM","mll",nbins,xmin,xmax,"m_{#mu#mu} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==1"),data,PlottingSetup::luminosity);
  TH1F *mllscon=allsamples.Draw("mllscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]",    "events",TCut(cutOSSF&&MetBaseCut&&nJetsControl),data,PlottingSetup::luminosity);
  TH1F *mllOsig  = allsamples.Draw("mllOsig", "mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsSignal),data,PlottingSetup::luminosity);
  TH1F *mllOscon = allsamples.Draw("mllOscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsControl),data,PlottingSetup::luminosity);

  TH1F* mllsig = (TH1F*)mllsigEE->Clone("mllsig");
  mllsig->Add(mllsigMM);
  mllsig->GetXaxis()->SetTitle("m_{ll} [GeV]");

  THStack *mcMllsig, *mcMllsigEE,*mcMllsigMM,*mcMllscon,*mcMllsconEE,*mcMllsconMM, *mcMllOsig, *mcMllOscon;
  if ( doMC ) {
    name += "_mc";
    mcMllsig  = new THStack(allsamples.DrawStack("mcMllsig","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal),mc,PlottingSetup::luminosity));
    mcMllsigEE  = new THStack(allsamples.DrawStack("mcMllsigEE","mll",nbins,xmin,xmax,"m_{ee} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==0"),mc,PlottingSetup::luminosity));
    mcMllsigMM  = new THStack(allsamples.DrawStack("mcMllsigMM","mll",nbins,xmin,xmax,"m_{#mu#mu} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==1"),mc,PlottingSetup::luminosity));
    mcMllscon = new THStack(allsamples.DrawStack("mcMllscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsControl),mc,PlottingSetup::luminosity));
    mcMllOsig = new THStack(allsamples.DrawStack("mcMllOsig","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsSignal),mc,PlottingSetup::luminosity));
    mcMllOscon= new THStack(allsamples.DrawStack("mcMllOscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsControl),mc,PlottingSetup::luminosity));
    
  }

  mllOsig->SetLineColor(kRed);
  mllOscon->SetLineColor(kRed);
  
  TH1F *zlineshape = allsamples.Draw("zlineshape","mll",nbins,xmin,xmax,"m_{ll} (GeV)","events",cutOSSF&&TCut("pfJetGoodNum40==1")&&cut,data,PlottingSetup::luminosity);
  //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);
  //scalefactor/=(zlineshape->GetBinContent(zlineshape->GetMaximumBin()-1)+zlineshape->GetBinContent(zlineshape->GetMaximumBin())+zlineshape->GetBinContent(zlineshape->GetMaximumBin()+1));
  // Alternative scale factor: use 90+-5 GeV
  Int_t scaleBinLow = mllsig->FindBin(86);
  Int_t scaleBinHigh = mllsig->FindBin(94);
  float scalefactor = (mllsig->Integral(scaleBinLow,scaleBinHigh)-mllOsig->Integral(scaleBinLow,scaleBinHigh));
  scalefactor /= zlineshape->Integral(scaleBinLow,scaleBinHigh);
  
  cout << "Bins for scaling : " << scaleBinLow << " : " << scaleBinHigh << endl;
  
  zlineshape->Scale(scalefactor);
  zlineshape->SetLineColor(kBlue);
  zlineshape->SetLineStyle(2);
  
  TH1F *subtracted = (TH1F*)mllsig->Clone("subtracted");
  TH1F *baseline = (TH1F*)mllOsig->Clone("baseline");
  for(int i=1;i<=subtracted->GetNbinsX();i++) {
    subtracted->SetBinContent(i,mllsig->GetBinContent(i)-mllOsig->GetBinContent(i));
    baseline->SetBinContent(i,0);
  }
  
  TH1F *prediction = (TH1F*)mllOsig->Clone("prediction");
  prediction->Add(zlineshape);
  prediction->SetLineColor(TColor::GetColor("#CF35CA"));
  
  TH1F *control_prediction = (TH1F*)mllOscon->Clone("control_prediction");
  control_prediction->SetLineColor(TColor::GetColor("#CF35CA"));

  // FIX Y RANGE TO EASE COMPARISON
  mllsig->SetMaximum(60);
  mllsigEE->SetMaximum(60);
  mllsigMM->SetMaximum(60);
  mllOsig->SetMaximum(60);
  mllOscon->SetMaximum(140);
  subtracted->SetMaximum(25);
  subtracted->SetMinimum(-15);


  // 1.- Signal region comparison
  TBox *srbox = new TBox(20,0,70,mllsig->GetMaximum());
  srbox->SetFillStyle(0);
  srbox->SetLineColor(TColor::GetColor("#298A08"));
  srbox->SetLineWidth(3);

  stringstream MetHeader;
  MetHeader << "MET>" << cutat << " GeV";
  stringstream saveasSig;
  saveasSig << "MetPlots/mll_sig" << cutat << "__" << name;

  TLegend* leg;
  if ( !doMC ) {
    tcan->cd();
    //mllsig->GetYaxis()->SetRangeUser(0,mllsig->GetMaximum()*1.2);
    mllsig->Draw();
    TGraphErrors *stat3j = MakeErrorGraph(prediction);
    stat3j->Draw("2,same");
    mllOsig->Draw("histo,same");
    zlineshape->Draw("histo,same");
    prediction->Draw("histo,same");
    mllsig->Draw("same");
    DrawPrelim();
    leg = make_legend();
    leg->SetX1(0.54);
    leg->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()).c_str());
    leg->AddEntry(mllsig,"Data","PL");
    leg->AddEntry(prediction,"All bg prediction","L");
    leg->AddEntry(mllOsig,"bg without Z","L");
    leg->AddEntry(zlineshape,"Z lineshape","L");
    leg->AddEntry(stat3j,"stat. uncert.","F");
    leg->AddEntry(srbox,"SR","F");
    leg->Draw();
    srbox->Draw();
    CompleteSave(tcan,saveasSig.str());
  } else {
    TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
    rcan->cd();
    mllsig->Draw();
    mcMllsig->Draw("same");
    prediction->Draw("histo,same");
    mllsig->Draw("same");
    DrawPrelim();
    leg = allsamples.allbglegend();
    leg->SetX1(0.54);
    leg->AddEntry(prediction,"All bg prediction","L");
    leg->AddEntry(srbox,"SR","F");
    leg->Draw();
    srbox->Draw();
    save_with_ratio( mllsig, *mcMllsig, rcan, saveasSig.str() );
  }
  
  
  // 1b. MC: split ee and mumu
  if ( doMC ) {
    TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
    rcan->cd();
    mllsigEE->Draw();
    mcMllsigEE->Draw("same");
    mllsigEE->Draw("same");
    DrawPrelim();
    leg->Draw();
    srbox->Draw();
    save_with_ratio( mllsigEE, *mcMllsigEE,rcan->cd(),saveasSig.str()+"_ee" );

    rcan = new TPad("rcan","rcan",0,0,1,1);
    rcan->cd();
    mllsigMM->Draw();
    mcMllsigMM->Draw("same");
    mllsigMM->Draw("same");
    DrawPrelim();
    leg->Draw();
    srbox->Draw();
    save_with_ratio( mllsigMM, *mcMllsigMM,rcan,saveasSig.str()+"_mm" );
  }
  
  // 2.- Signal region comparison - LOG scale
  if ( !doMC ) {
    tcan->cd();
    mllsig->SetMinimum(0.2); // FIX Y RANGE TO EASE COMPARISON
    //mllsig->SetMaximum(mllsig->GetMaximum()*4.0);
    srbox->SetY2(mllsig->GetMaximum());
    
    tcan->SetLogy(1);
    stringstream saveasSig2;
    saveasSig2 << "MetPlots/mll_sig_ZLINESHAPE_" << cutat << "__" << name;
    
    CompleteSave(tcan,saveasSig2.str());
    tcan->SetLogy(0);
  }
  

  // 3.- Signal region, background subtracted
  if ( !doMC ) {
    tcan->cd();
    for(int i=1;i<subtracted->GetNbinsX();i++) {
      subtracted->SetBinContent(i,subtracted->GetBinContent(i)-zlineshape->GetBinContent(i));
    }

    TGraphErrors *subtrerr = MakeErrorGraph(baseline);
    subtracted->Draw();
    subtrerr->Draw("2,same");
    subtracted->Draw("same");
    DrawPrelim();
    TLegend *DiffLeg = make_legend();
    DiffLeg->SetX1(0.3);
    DiffLeg->SetFillStyle(0);
    DiffLeg->AddEntry(subtracted,"observed - predicted","PL");
    DiffLeg->AddEntry(subtrerr,"stat. uncert on prediction","F");
    DiffLeg->AddEntry((TObject*)0,"","");
    DiffLeg->AddEntry((TObject*)0,"","");
    DiffLeg->Draw();
    
    stringstream saveasSigSub;
    saveasSigSub << "MetPlots/mll_sig_SUBTRACTED_" << cutat << "__" << name;
  
    CompleteSave(tcan,saveasSigSub.str());

    // 4.- Signal region, background subtracted, errors added in quadrature
    TGraphErrors *subtrerr2 = (TGraphErrors*)subtrerr->Clone("subtrerr2");
    for(int i=0;i<subtrerr2->GetN();i++) {
      subtrerr2->SetPoint(i,subtracted->GetBinCenter(i),subtracted->GetBinContent(i));
      subtrerr2->SetPointError(i,subtrerr2->GetErrorX(i),TMath::Sqrt(subtrerr2->GetErrorY(i)*subtrerr2->GetErrorY(i)+subtracted->GetBinError(i)*subtracted->GetBinError(i)));
    }
    TLine* l = new TLine(subtracted->GetBinLowEdge(1),0.,subtracted->GetBinLowEdge(subtracted->GetNbinsX()-1)+subtracted->GetBinWidth(1),0.);
    l->SetLineWidth(subtracted->GetLineWidth());
    subtracted->Draw();
    subtrerr2->Draw("2,same");
    l->Draw("same");
    subtracted->Draw("same");
    DrawPrelim();
    TLegend *DiffLeg2 = make_legend();
    DiffLeg2->SetX1(0.3);
    DiffLeg2->SetFillStyle(0);
    DiffLeg2->AddEntry(subtracted,"observed - predicted","PL");
    DiffLeg2->AddEntry(subtrerr2,"stat. uncert on prediction","F");
    DiffLeg2->AddEntry((TObject*)0,"","");
    DiffLeg2->AddEntry((TObject*)0,"","");
    DiffLeg2->Draw();
    
    stringstream saveasSigSub2;
    saveasSigSub2 << "MetPlots/mll_sig_SUBTRACTED_quadr_" << cutat << "__" << name;

    CompleteSave(tcan,saveasSigSub2.str());

    delete DiffLeg;
    delete DiffLeg2;
  } // !doMC
    
    
  // 5.- Control region comparison
  scalefactor = (mllscon->Integral(scaleBinLow,scaleBinHigh)-mllOscon->Integral(scaleBinLow,scaleBinHigh));
  scalefactor /= zlineshape->Integral(scaleBinLow,scaleBinHigh);
  zlineshape->Scale(scalefactor);
  control_prediction->Add(zlineshape);
  control_prediction->SetMaximum(140); // FIX Y RANGE TO EASE COMPARISON

  TBox *cr1box = new TBox(20,0,70,control_prediction->GetMaximum());
  cr1box->SetFillStyle(0);
  cr1box->SetLineColor(TColor::GetColor("#0404B4"));
  cr1box->SetLineWidth(3);
  
  TBox *cr2box = new TBox(150,0,320,control_prediction->GetMaximum());
  cr2box->SetFillStyle(0);
  cr2box->SetLineColor(TColor::GetColor("#0404B4"));
  cr2box->SetLineWidth(3);
  cr2box->SetLineStyle(2);
  
  stringstream saveasCon;
  saveasCon << "MetPlots/mll_con" << cutat << "__" << name;

  TLegend *legc;
  //control_prediction->GetYaxis()->SetRangeUser(0,control_prediction->GetMaximum()*1.3);
  if ( !doMC ) {
    tcan->cd();
    control_prediction->Draw("hist");
    TGraphErrors *stat2j  = MakeErrorGraph(control_prediction);
    stat2j->Draw("2,same");
    mllOscon->Draw("same,hist");
    zlineshape->Draw("histo,same");
    control_prediction->Draw("histo,same");
    mllscon->Draw("same");
    DrawPrelim();
    legc = make_legend();
    legc->SetX1(0.54);
    legc->SetHeader(((string)"N_{jets} < "+snjets.str()+", "+MetHeader.str()).c_str());
    legc->AddEntry(mllscon,"Data","PL");
    legc->AddEntry(control_prediction,"All bg","L");
    legc->AddEntry(zlineshape,"Z lineshape","L");
    legc->AddEntry(mllOscon,"bg without Z","L");
    legc->AddEntry(stat2j,"stat. uncert.","F");
    legc->AddEntry(cr1box,"CR1","F");
    legc->AddEntry(cr2box,"CR2","F");
    legc->Draw();
    cr1box->Draw();
    cr2box->Draw();
    CompleteSave(tcan,saveasCon.str());
  }  else {
    TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
    rcan->cd();
    control_prediction->Draw("hist");
    mcMllscon->Draw("same");
    control_prediction->Draw("histo,same");
    mllscon->Draw("same");
    DrawPrelim();
    legc = allsamples.allbglegend();
    legc->SetX1(0.54);
    legc->SetHeader(((string)"N_{jets} < "+snjets.str()+", "+MetHeader.str()).c_str());
    legc->AddEntry(control_prediction,"All bg","L");
    legc->AddEntry(cr1box,"CR1","F");
    legc->AddEntry(cr2box,"CR2","F");
    legc->Draw();
    cr1box->Draw();
    cr2box->Draw();
    save_with_ratio( mllscon, *mcMllscon, rcan, saveasCon.str());
  } 
  
  // 6. - Opposite-flavour data/MC comparison
  if ( doMC ) {
    TPad* rcan = new TPad("rcan","rcan",0,0,1,1);    
    rcan->cd();
    mllOsig->SetLineColor(kBlack);
    mllOsig->Draw();
    mcMllOsig->Draw("same");
    mllOsig->Draw("same");
    TLegend *legsdm = allsamples.allbglegend();
    legsdm->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
    legsdm->SetX1(0.54);
    legsdm->Draw();
    stringstream saveasSigOF;
    saveasSigOF << "MetPlots/mll_sig_of_" << cutat << "__" << name;
    save_with_ratio( mllOsig, *mcMllOsig, rcan, saveasSigOF.str());

    rcan = new TPad("rcan","rcan",0,0,1,1); 
    rcan->cd();
    mllOscon->SetLineColor(kBlack);
    mllOscon->Draw();
    mcMllOscon->Draw("same");
    mllOscon->Draw("same");
    TLegend *legcdm = allsamples.allbglegend();
    legcdm->SetHeader(((string)"N_{jets}<"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
    legcdm->SetX1(0.54);
    legcdm->Draw();
    stringstream saveasConOF;
    saveasConOF << "MetPlots/mll_con_of_" << cutat << "__" << name;
    save_with_ratio( mllOscon, *mcMllOscon, rcan, saveasConOF.str());

    delete legsdm;
    delete legcdm;
  }

  // Memory clean-up
  if (doMC) {
    delete mcMllscon;
    delete mcMllOscon;
    delete mcMllsig;
    delete mcMllsigEE;
    delete mcMllsigMM;
    delete mcMllOsig;
  }
  
  delete cr1box;
  delete cr2box;
  delete srbox;
  delete legc;
  delete leg;
  
  delete mllscon;
  delete mllOscon;
  delete mllsig;
  delete mllsigEE;
  delete mllsigMM;
  delete mllOsig;
  delete zlineshape;
  delete tcan;
}  

void DoMetPlots() {
  float metCuts[] = { 100., 150. };
  int jetCuts[] = { 3, 2 };
  //int jetCuts[] = { 3, 3 };
  string leptCuts[] = { "pt1>20&&pt2>20&&abs(eta1)<1.4&&abs(eta2)<1.4", 
                        "pt1>20&&pt2>10" 
                      };
  bool nomc(0),domc(1);
  for ( int i=0; i<2; ++i ) {
    ProduceMetPlotsWithCut(TCut(("mll>15&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],nomc);
    ProduceMetPlotsWithCut(TCut(("mll>15&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],domc);
    //continue;
    if (!PlottingSetup::is53reco) { // Old 5_2
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i], nomc);
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i], nomc);
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i], domc);
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i], domc);
    } else {
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],nomc);
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],nomc);
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],domc);
      ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],domc);
//       ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag40==0&&"+leptCuts[i]).c_str()),"bTagVeto40",metCuts[i], jetCuts[i]);
//       ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag40>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet40",metCuts[i], jetCuts[i]);
    }
  }
}
Revision:	1.11
Committed:	Fri Aug 31 08:02:39 2012 UTC (12 years, 8 months ago) by fronga
Content type:	text/plain
Branch:	MAIN
Changes since 1.10:	+13 -13 lines
Log Message:	Adapt mll range to agreed selection.
#	User	Rev	Content
1	buchmann	1.1	#include <iostream>
2
3			using namespace std;
4
5			TGraphErrors* MakeErrorGraph(TH1F *histo) {
6
7			float dx[histo->GetNbinsX()];
8			float dy[histo->GetNbinsX()];
9			float x[histo->GetNbinsX()];
10			float y[histo->GetNbinsX()];
11			for(int i=1;i<=histo->GetNbinsX();i++) {
12			x[i-1]=histo->GetBinCenter(i);
13			y[i-1]=histo->GetBinContent(i);
14			if(i>1) dx[i-1]=(histo->GetBinCenter(i)-histo->GetBinCenter(i-1))/2.0;
15			else dx[i-1]=(histo->GetBinCenter(i+1)-histo->GetBinCenter(i))/2.0;
16			dy[i-1]=histo->GetBinError(i);
17			}
18
19			TGraphErrors *gr = new TGraphErrors(histo->GetNbinsX(),x,y,dx,dy);
20			gr->SetFillColor(TColor::GetColor("#2E9AFE"));
21			return gr;
22			}
23
24	fronga	1.7	void ProduceMetPlotsWithCut(TCut cut, string name, float cutat, int njets, bool doMC = false ) {
25	buchmann	1.1	TCanvas *tcan = new TCanvas("tcan","tcan");
26			cout << "Doing met plots" << endl;
27	buchmann	1.2	stringstream MetBaseCuts;
28	fronga	1.7	MetBaseCuts << "met[4]>" << cutat << "&&" << cut.GetTitle();
29			stringstream snjets;
30			snjets << njets;
31	buchmann	1.2	TCut MetBaseCut(MetBaseCuts.str().c_str());
32	fronga	1.10	TCut nJetsSignal(PlottingSetup::basicqualitycut&&("pfJetGoodNum40>="+snjets.str()).c_str());
33			TCut nJetsControl(("pfJetGoodID[0]!=0&&pfJetGoodNum40<"+snjets.str()).c_str());
34	buchmann	1.1
35			//compute SF / OF rate in (CR1+CR2), should give 0.941 +/- 0.05
36	fronga	1.7
37			// Create histograms
38	fronga	1.9	//int nbins = 30;
39			int nbins = 60;
40	fronga	1.11	float xmin=15., xmax = 315.;
41	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);
42			TH1F *mllsigMM =allsamples.Draw("mllsigMM","mll",nbins,xmin,xmax,"m_{#mu#mu} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==1"),data,PlottingSetup::luminosity);
43			TH1F *mllscon=allsamples.Draw("mllscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]", "events",TCut(cutOSSF&&MetBaseCut&&nJetsControl),data,PlottingSetup::luminosity);
44	fronga	1.7	TH1F *mllOsig = allsamples.Draw("mllOsig", "mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsSignal),data,PlottingSetup::luminosity);
45			TH1F *mllOscon = allsamples.Draw("mllOscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsControl),data,PlottingSetup::luminosity);
46
47	fronga	1.8	TH1F* mllsig = (TH1F*)mllsigEE->Clone("mllsig");
48			mllsig->Add(mllsigMM);
49			mllsig->GetXaxis()->SetTitle("m_{ll} [GeV]");
50
51			THStack mcMllsig, mcMllsigEE,mcMllsigMM,mcMllscon,mcMllsconEE,mcMllsconMM, mcMllOsig, mcMllOscon;
52	fronga	1.7	if ( doMC ) {
53			name += "_mc";
54	fronga	1.8	mcMllsig = new THStack(allsamples.DrawStack("mcMllsig","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal),mc,PlottingSetup::luminosity));
55			mcMllsigEE = new THStack(allsamples.DrawStack("mcMllsigEE","mll",nbins,xmin,xmax,"m_{ee} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==0"),mc,PlottingSetup::luminosity));
56			mcMllsigMM = new THStack(allsamples.DrawStack("mcMllsigMM","mll",nbins,xmin,xmax,"m_{#mu#mu} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsSignal&&"id1==1"),mc,PlottingSetup::luminosity));
57			mcMllscon = new THStack(allsamples.DrawStack("mcMllscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSSF&&MetBaseCut&&nJetsControl),mc,PlottingSetup::luminosity));
58			mcMllOsig = new THStack(allsamples.DrawStack("mcMllOsig","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsSignal),mc,PlottingSetup::luminosity));
59	fronga	1.7	mcMllOscon= new THStack(allsamples.DrawStack("mcMllOscon","mll",nbins,xmin,xmax,"m_{ll} [GeV]","events",TCut(cutOSOF&&MetBaseCut&&nJetsControl),mc,PlottingSetup::luminosity));
60	fronga	1.8
61	fronga	1.7	}
62	fronga	1.8
63	buchmann	1.1	mllOsig->SetLineColor(kRed);
64			mllOscon->SetLineColor(kRed);
65
66	fronga	1.7	TH1F *zlineshape = allsamples.Draw("zlineshape","mll",nbins,xmin,xmax,"m_{ll} (GeV)","events",cutOSSF&&TCut("pfJetGoodNum40==1")&&cut,data,PlottingSetup::luminosity);
67	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);
68			//scalefactor/=(zlineshape->GetBinContent(zlineshape->GetMaximumBin()-1)+zlineshape->GetBinContent(zlineshape->GetMaximumBin())+zlineshape->GetBinContent(zlineshape->GetMaximumBin()+1));
69			// Alternative scale factor: use 90+-5 GeV
70	buchmann	1.6	Int_t scaleBinLow = mllsig->FindBin(86);
71			Int_t scaleBinHigh = mllsig->FindBin(94);
72	fronga	1.4	float scalefactor = (mllsig->Integral(scaleBinLow,scaleBinHigh)-mllOsig->Integral(scaleBinLow,scaleBinHigh));
73			scalefactor /= zlineshape->Integral(scaleBinLow,scaleBinHigh);
74	buchmann	1.6
75			cout << "Bins for scaling : " << scaleBinLow << " : " << scaleBinHigh << endl;
76
77	buchmann	1.3	zlineshape->Scale(scalefactor);
78			zlineshape->SetLineColor(kBlue);
79			zlineshape->SetLineStyle(2);
80
81			TH1F subtracted = (TH1F)mllsig->Clone("subtracted");
82			TH1F baseline = (TH1F)mllOsig->Clone("baseline");
83			for(int i=1;i<=subtracted->GetNbinsX();i++) {
84			subtracted->SetBinContent(i,mllsig->GetBinContent(i)-mllOsig->GetBinContent(i));
85			baseline->SetBinContent(i,0);
86			}
87
88			TH1F prediction = (TH1F)mllOsig->Clone("prediction");
89			prediction->Add(zlineshape);
90			prediction->SetLineColor(TColor::GetColor("#CF35CA"));
91	fronga	1.7
92			TH1F control_prediction = (TH1F)mllOscon->Clone("control_prediction");
93			control_prediction->SetLineColor(TColor::GetColor("#CF35CA"));
94
95			// FIX Y RANGE TO EASE COMPARISON
96	fronga	1.10	mllsig->SetMaximum(60);
97			mllsigEE->SetMaximum(60);
98			mllsigMM->SetMaximum(60);
99			mllOsig->SetMaximum(60);
100			mllOscon->SetMaximum(140);
101			subtracted->SetMaximum(25);
102			subtracted->SetMinimum(-15);
103	fronga	1.7
104	buchmann	1.3
105	fronga	1.7	// 1.- Signal region comparison
106	buchmann	1.1	TBox *srbox = new TBox(20,0,70,mllsig->GetMaximum());
107			srbox->SetFillStyle(0);
108			srbox->SetLineColor(TColor::GetColor("#298A08"));
109			srbox->SetLineWidth(3);
110	fronga	1.10
111	buchmann	1.2	stringstream MetHeader;
112			MetHeader << "MET>" << cutat << " GeV";
113	fronga	1.10	stringstream saveasSig;
114			saveasSig << "MetPlots/mll_sig" << cutat << "__" << name;
115
116			TLegend* leg;
117			if ( !doMC ) {
118			tcan->cd();
119			//mllsig->GetYaxis()->SetRangeUser(0,mllsig->GetMaximum()*1.2);
120			mllsig->Draw();
121			TGraphErrors *stat3j = MakeErrorGraph(prediction);
122			stat3j->Draw("2,same");
123			mllOsig->Draw("histo,same");
124			zlineshape->Draw("histo,same");
125			prediction->Draw("histo,same");
126			mllsig->Draw("same");
127			DrawPrelim();
128			leg = make_legend();
129			leg->SetX1(0.54);
130			leg->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()).c_str());
131			leg->AddEntry(mllsig,"Data","PL");
132			leg->AddEntry(prediction,"All bg prediction","L");
133	fronga	1.7	leg->AddEntry(mllOsig,"bg without Z","L");
134			leg->AddEntry(zlineshape,"Z lineshape","L");
135			leg->AddEntry(stat3j,"stat. uncert.","F");
136	fronga	1.10	leg->AddEntry(srbox,"SR","F");
137			leg->Draw();
138			srbox->Draw();
139			CompleteSave(tcan,saveasSig.str());
140			} else {
141			TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
142			rcan->cd();
143			mllsig->Draw();
144			mcMllsig->Draw("same");
145			prediction->Draw("histo,same");
146			mllsig->Draw("same");
147			DrawPrelim();
148			leg = allsamples.allbglegend();
149			leg->SetX1(0.54);
150			leg->AddEntry(prediction,"All bg prediction","L");
151			leg->AddEntry(srbox,"SR","F");
152			leg->Draw();
153			srbox->Draw();
154			save_with_ratio( mllsig, *mcMllsig, rcan, saveasSig.str() );
155	fronga	1.7	}
156	buchmann	1.1
157
158	fronga	1.8	// 1b. MC: split ee and mumu
159			if ( doMC ) {
160	fronga	1.10	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
161			rcan->cd();
162	fronga	1.8	mllsigEE->Draw();
163			mcMllsigEE->Draw("same");
164			mllsigEE->Draw("same");
165			DrawPrelim();
166			leg->Draw();
167			srbox->Draw();
168	fronga	1.10	save_with_ratio( mllsigEE, *mcMllsigEE,rcan->cd(),saveasSig.str()+"_ee" );
169	fronga	1.8
170	fronga	1.10	rcan = new TPad("rcan","rcan",0,0,1,1);
171			rcan->cd();
172	fronga	1.8	mllsigMM->Draw();
173			mcMllsigMM->Draw("same");
174			mllsigMM->Draw("same");
175			DrawPrelim();
176			leg->Draw();
177			srbox->Draw();
178	fronga	1.10	save_with_ratio( mllsigMM, *mcMllsigMM,rcan,saveasSig.str()+"_mm" );
179	fronga	1.8	}
180	buchmann	1.1
181	fronga	1.7	// 2.- Signal region comparison - LOG scale
182	fronga	1.10	if ( !doMC ) {
183			tcan->cd();
184			mllsig->SetMinimum(0.2); // FIX Y RANGE TO EASE COMPARISON
185			//mllsig->SetMaximum(mllsig->GetMaximum()*4.0);
186			srbox->SetY2(mllsig->GetMaximum());
187
188			tcan->SetLogy(1);
189			stringstream saveasSig2;
190			saveasSig2 << "MetPlots/mll_sig_ZLINESHAPE_" << cutat << "__" << name;
191
192			CompleteSave(tcan,saveasSig2.str());
193			tcan->SetLogy(0);
194			}
195	buchmann	1.1
196	fronga	1.7
197			// 3.- Signal region, background subtracted
198	fronga	1.8	if ( !doMC ) {
199	fronga	1.10	tcan->cd();
200	fronga	1.8	for(int i=1;i<subtracted->GetNbinsX();i++) {
201			subtracted->SetBinContent(i,subtracted->GetBinContent(i)-zlineshape->GetBinContent(i));
202			}
203	buchmann	1.3
204	fronga	1.8	TGraphErrors *subtrerr = MakeErrorGraph(baseline);
205			subtracted->Draw();
206			subtrerr->Draw("2,same");
207			subtracted->Draw("same");
208			DrawPrelim();
209			TLegend *DiffLeg = make_legend();
210			DiffLeg->SetX1(0.3);
211			DiffLeg->SetFillStyle(0);
212			DiffLeg->AddEntry(subtracted,"observed - predicted","PL");
213			DiffLeg->AddEntry(subtrerr,"stat. uncert on prediction","F");
214			DiffLeg->AddEntry((TObject*)0,"","");
215			DiffLeg->AddEntry((TObject*)0,"","");
216			DiffLeg->Draw();
217
218			stringstream saveasSigSub;
219			saveasSigSub << "MetPlots/mll_sig_SUBTRACTED_" << cutat << "__" << name;
220
221			CompleteSave(tcan,saveasSigSub.str());
222	fronga	1.5
223	fronga	1.8	// 4.- Signal region, background subtracted, errors added in quadrature
224			TGraphErrors subtrerr2 = (TGraphErrors)subtrerr->Clone("subtrerr2");
225			for(int i=0;i<subtrerr2->GetN();i++) {
226			subtrerr2->SetPoint(i,subtracted->GetBinCenter(i),subtracted->GetBinContent(i));
227			subtrerr2->SetPointError(i,subtrerr2->GetErrorX(i),TMath::Sqrt(subtrerr2->GetErrorY(i)subtrerr2->GetErrorY(i)+subtracted->GetBinError(i)subtracted->GetBinError(i)));
228			}
229			TLine* l = new TLine(subtracted->GetBinLowEdge(1),0.,subtracted->GetBinLowEdge(subtracted->GetNbinsX()-1)+subtracted->GetBinWidth(1),0.);
230			l->SetLineWidth(subtracted->GetLineWidth());
231			subtracted->Draw();
232			subtrerr2->Draw("2,same");
233			l->Draw("same");
234			subtracted->Draw("same");
235			DrawPrelim();
236			TLegend *DiffLeg2 = make_legend();
237			DiffLeg2->SetX1(0.3);
238			DiffLeg2->SetFillStyle(0);
239			DiffLeg2->AddEntry(subtracted,"observed - predicted","PL");
240			DiffLeg2->AddEntry(subtrerr2,"stat. uncert on prediction","F");
241			DiffLeg2->AddEntry((TObject*)0,"","");
242			DiffLeg2->AddEntry((TObject*)0,"","");
243			DiffLeg2->Draw();
244
245			stringstream saveasSigSub2;
246			saveasSigSub2 << "MetPlots/mll_sig_SUBTRACTED_quadr_" << cutat << "__" << name;
247	fronga	1.5
248	fronga	1.8	CompleteSave(tcan,saveasSigSub2.str());
249	fronga	1.5
250	fronga	1.8	delete DiffLeg;
251			delete DiffLeg2;
252			} // !doMC
253	buchmann	1.3
254
255	fronga	1.7	// 5.- Control region comparison
256	buchmann	1.6	scalefactor = (mllscon->Integral(scaleBinLow,scaleBinHigh)-mllOscon->Integral(scaleBinLow,scaleBinHigh));
257			scalefactor /= zlineshape->Integral(scaleBinLow,scaleBinHigh);
258			zlineshape->Scale(scalefactor);
259			control_prediction->Add(zlineshape);
260	fronga	1.10	control_prediction->SetMaximum(140); // FIX Y RANGE TO EASE COMPARISON
261	fronga	1.7
262	buchmann	1.6	TBox *cr1box = new TBox(20,0,70,control_prediction->GetMaximum());
263	buchmann	1.1	cr1box->SetFillStyle(0);
264			cr1box->SetLineColor(TColor::GetColor("#0404B4"));
265			cr1box->SetLineWidth(3);
266
267	buchmann	1.6	TBox *cr2box = new TBox(150,0,320,control_prediction->GetMaximum());
268	buchmann	1.1	cr2box->SetFillStyle(0);
269			cr2box->SetLineColor(TColor::GetColor("#0404B4"));
270			cr2box->SetLineWidth(3);
271			cr2box->SetLineStyle(2);
272
273	fronga	1.10	stringstream saveasCon;
274			saveasCon << "MetPlots/mll_con" << cutat << "__" << name;
275
276	fronga	1.7	TLegend *legc;
277	fronga	1.10	//control_prediction->GetYaxis()->SetRangeUser(0,control_prediction->GetMaximum()*1.3);
278			if ( !doMC ) {
279			tcan->cd();
280			control_prediction->Draw("hist");
281			TGraphErrors *stat2j = MakeErrorGraph(control_prediction);
282			stat2j->Draw("2,same");
283			mllOscon->Draw("same,hist");
284			zlineshape->Draw("histo,same");
285			control_prediction->Draw("histo,same");
286			mllscon->Draw("same");
287			DrawPrelim();
288	fronga	1.7	legc = make_legend();
289	fronga	1.10	legc->SetX1(0.54);
290			legc->SetHeader(((string)"N_{jets} < "+snjets.str()+", "+MetHeader.str()).c_str());
291			legc->AddEntry(mllscon,"Data","PL");
292			legc->AddEntry(control_prediction,"All bg","L");
293	fronga	1.7	legc->AddEntry(zlineshape,"Z lineshape","L");
294			legc->AddEntry(mllOscon,"bg without Z","L");
295			legc->AddEntry(stat2j,"stat. uncert.","F");
296	fronga	1.10	legc->AddEntry(cr1box,"CR1","F");
297			legc->AddEntry(cr2box,"CR2","F");
298			legc->Draw();
299			cr1box->Draw();
300			cr2box->Draw();
301			CompleteSave(tcan,saveasCon.str());
302			} else {
303			TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
304			rcan->cd();
305			control_prediction->Draw("hist");
306			mcMllscon->Draw("same");
307			control_prediction->Draw("histo,same");
308			mllscon->Draw("same");
309			DrawPrelim();
310			legc = allsamples.allbglegend();
311			legc->SetX1(0.54);
312			legc->SetHeader(((string)"N_{jets} < "+snjets.str()+", "+MetHeader.str()).c_str());
313			legc->AddEntry(control_prediction,"All bg","L");
314			legc->AddEntry(cr1box,"CR1","F");
315			legc->AddEntry(cr2box,"CR2","F");
316			legc->Draw();
317			cr1box->Draw();
318			cr2box->Draw();
319			save_with_ratio( mllscon, *mcMllscon, rcan, saveasCon.str());
320			}
321	buchmann	1.1
322	fronga	1.7	// 6. - Opposite-flavour data/MC comparison
323			if ( doMC ) {
324	fronga	1.10	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
325			rcan->cd();
326	fronga	1.7	mllOsig->SetLineColor(kBlack);
327			mllOsig->Draw();
328			mcMllOsig->Draw("same");
329			mllOsig->Draw("same");
330			TLegend *legsdm = allsamples.allbglegend();
331			legsdm->SetHeader(((string)"N_{jets}#geq"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
332			legsdm->SetX1(0.54);
333			legsdm->Draw();
334			stringstream saveasSigOF;
335			saveasSigOF << "MetPlots/mll_sig_of_" << cutat << "__" << name;
336	fronga	1.10	save_with_ratio( mllOsig, *mcMllOsig, rcan, saveasSigOF.str());
337	fronga	1.7
338	fronga	1.10	rcan = new TPad("rcan","rcan",0,0,1,1);
339			rcan->cd();
340	fronga	1.7	mllOscon->SetLineColor(kBlack);
341			mllOscon->Draw();
342			mcMllOscon->Draw("same");
343			mllOscon->Draw("same");
344			TLegend *legcdm = allsamples.allbglegend();
345			legcdm->SetHeader(((string)"N_{jets}<"+snjets.str()+", "+MetHeader.str()+", OF").c_str());
346			legcdm->SetX1(0.54);
347			legcdm->Draw();
348			stringstream saveasConOF;
349			saveasConOF << "MetPlots/mll_con_of_" << cutat << "__" << name;
350	fronga	1.10	save_with_ratio( mllOscon, *mcMllOscon, rcan, saveasConOF.str());
351
352	fronga	1.7	delete legsdm;
353			delete legcdm;
354	fronga	1.10	}
355	fronga	1.7
356	fronga	1.10	// Memory clean-up
357			if (doMC) {
358	fronga	1.7	delete mcMllscon;
359			delete mcMllOscon;
360			delete mcMllsig;
361	fronga	1.8	delete mcMllsigEE;
362			delete mcMllsigMM;
363	fronga	1.7	delete mcMllOsig;
364			}
365	buchmann	1.1
366			delete cr1box;
367			delete cr2box;
368			delete srbox;
369			delete legc;
370			delete leg;
371	fronga	1.7
372	buchmann	1.1	delete mllscon;
373			delete mllOscon;
374			delete mllsig;
375	fronga	1.8	delete mllsigEE;
376			delete mllsigMM;
377	buchmann	1.1	delete mllOsig;
378	fronga	1.7	delete zlineshape;
379	buchmann	1.6	delete tcan;
380	buchmann	1.1	}
381
382			void DoMetPlots() {
383	fronga	1.7	float metCuts[] = { 100., 150. };
384			int jetCuts[] = { 3, 2 };
385	fronga	1.11	//int jetCuts[] = { 3, 3 };
386	fronga	1.7	string leptCuts[] = { "pt1>20&&pt2>20&&abs(eta1)<1.4&&abs(eta2)<1.4",
387			"pt1>20&&pt2>10"
388			};
389			bool nomc(0),domc(1);
390			for ( int i=0; i<2; ++i ) {
391	fronga	1.11	ProduceMetPlotsWithCut(TCut(("mll>15&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],nomc);
392			ProduceMetPlotsWithCut(TCut(("mll>15&&"+leptCuts[i]).c_str()),"",metCuts[i], jetCuts[i],domc);
393			//continue;
394	fronga	1.7	if (!PlottingSetup::is53reco) { // Old 5_2
395	fronga	1.11	ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i], nomc);
396			ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i], nomc);
397			ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i], domc);
398			ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i], domc);
399	fronga	1.7	} else {
400	fronga	1.11	ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],nomc);
401			ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],nomc);
402			ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30==0&&"+leptCuts[i]).c_str()),"bTagVeto30",metCuts[i], jetCuts[i],domc);
403			ProduceMetPlotsWithCut(TCut(("mll>15&&pfJetGoodNumBtag30>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet30",metCuts[i], jetCuts[i],domc);
404	fronga	1.10	// ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag40==0&&"+leptCuts[i]).c_str()),"bTagVeto40",metCuts[i], jetCuts[i]);
405			// ProduceMetPlotsWithCut(TCut(("mll>20&&pfJetGoodNumBtag40>0&&"+leptCuts[i]).c_str()),"AtLeastOneBJet40",metCuts[i], jetCuts[i]);
406	fronga	1.7	}
407			}
408	buchmann	1.1	}