Пример #1
0
void derivefromprofile()
{

  auto file = config.getfile_djt("mcPbqcd");
  auto nt = (TTree *)file->Get("nt");

  for (unsigned i=1;i<binbounds.size();i++) {
    int b1 = binbounds[i-1];
    int b2 = binbounds[i];
    auto p = new TProfile(Form("p%d%d",b1,b2),Form("prof"),100,0,200);

    nt->Project(p->GetName(),"(subid2 == 0 && refpt2 > 20):jtptSignal2",Form("weight*(jtpt1>100&&bin>=%d && bin<%d)",b1,b2));
    profs.push_back(p);

    auto f = new TF1(Form("f%d%d",b1,b2),"exp(-[0]*exp(-[1]*x))");
    f->SetParameters(100,0.1);
    p->Fit(f);
    fs.push_back(f);

    float median = -1/f->GetParameter(1)*log(-1/f->GetParameter(0)*log(0.5));

    auto c = getc();
      TLatex *Tl = new TLatex();
    p->SetMinimum(0);p->SetMaximum(1);
    p->Draw();
    f->Draw("same");
    Tl->DrawLatexNDC(0.6,0.4,Form("PbPb bin %d-%d",b1,b2));
    Tl->DrawLatexNDC(0.6,0.35,Form("median = %.2f",median));

    TLine *l1 = new TLine(median,0,median, f->Eval(median));
    l1->Draw();
    TLine *l2 = new TLine(0,0.5,median, f->Eval(median));
    l2->Draw();

    SavePlot(c,Form("fit%d%d",b1,b2));
  }

}
Пример #2
0
void doPlotXJ(TString outname, int inc_or_bjet=1, bool useMC = true, bool addppunc = false)
{
  macro m(outname);

  // bool useMC = true;
  // bool addppunc = false;
  
  TFile *fin = new TFile("results_redoana_default/xJdphi.root");

  TFile *fpps1 = new TFile("results_redoana_ppsmear1/xJdphi.root");
  TFile *fpps2 = new TFile("results_redoana_ppsmear2/xJdphi.root");
  TFile *fpps3 = new TFile("results_redoana_ppsmear3/xJdphi.root");


  string species = "inc";
  if(inc_or_bjet) species = "bjt";

  TH1F *hData010 = (TH1F*) fin->Get(Form("xJ_data_%s_0_10",species.c_str()));
  TH1F *hData1030 = (TH1F*) fin->Get(Form("xJ_data_%s_10_30",species.c_str()));
  TH1F *hData30100 = (TH1F*) fin->Get(Form("xJ_data_%s_30_100",species.c_str()));
  TH1F *hDataPP = (TH1F*) fin->Get(Form("xJ_data_%s_pp",species.c_str()));
  
  TH1F *hMC010;
  TH1F *hMC1030;
  TH1F *hMC30100;
  TH1F *hMCPP = (TH1F*) fin->Get(Form("xJ_mc_%s_pp",species.c_str()));  

  if (useMC) {
    hMC010 = (TH1F*) fin->Get(Form("xJ_mc_%s_0_10",species.c_str()));
    hMC1030 = (TH1F*) fin->Get(Form("xJ_mc_%s_10_30",species.c_str()));
    hMC30100 = (TH1F*) fin->Get(Form("xJ_mc_%s_30_100",species.c_str()));
  } else
  {
    hMC010 = (TH1F*) fpps1->Get(Form("xJ_data_%s_pp",species.c_str()));
    hMC1030 = (TH1F*) fpps2->Get(Form("xJ_data_%s_pp",species.c_str()));
    hMC30100 = (TH1F*) fpps3->Get(Form("xJ_data_%s_pp",species.c_str()));
  }

  // if(inc_or_bjet) hMCPP = (TH1F*) fin->Get(Form("xJ_mc_%s_pp;1",species.c_str()));

Normalize({hMC010,hMC1030,hMC30100,hMCPP}); //temporary fix

  vector<float> syserr;
  if (inc_or_bjet) syserr = {0.023,0.018,0.014,0.008}; //0-10%, 10-30%, 30-100%, pp
  else syserr = {0.023,0.016,0.010,0.007};

  int syscolor = inc_or_bjet ? kredLight : kblueLight;
  int color = kblue;
  if(inc_or_bjet) color=kred;

  auto hData010sys =    makesysplot(hData010,syserr[0],syscolor);
  auto hData1030sys =   makesysplot(hData1030,syserr[1],syscolor);
  auto hData30100sys =  makesysplot(hData30100,syserr[2],syscolor);
  auto hDataPPsys =     makesysplot(hDataPP,syserr[3],syscolor);

  auto hSmPP010sys = makesysplot(hMC010,syserr[3],syscolor);
  auto hSmPP1030sys = makesysplot(hMC1030,syserr[3],syscolor);
  auto hSmPP30100sys = makesysplot(hMC30100,syserr[3],syscolor);


  hSmPP30100sys->SetFillStyle(3005);
  hSmPP30100sys->SetFillColor(color);
  hSmPP1030sys->SetFillStyle(3005);
  hSmPP1030sys->SetFillColor(color);
  hSmPP010sys->SetFillStyle(3005);
  hSmPP010sys->SetFillColor(color);

  lumi_sqrtS = lumi_sqrtSPbPb;


  TCanvas *c1=new TCanvas("c1","c1",600,600);



  
  hData010->SetMarkerColor(color);
  hData010->SetLineColor(color);
  hMC010->SetLineColor(color);

  hData010->GetXaxis()->CenterTitle(1);
  hData010->GetYaxis()->CenterTitle(1);
  hData010->SetYTitle("Event fraction");
  hData010->Draw();
  hData010sys->Draw("e2,same");
  if (addppunc) hSmPP010sys->Draw("e2,same");
  hData010->Draw("same"); //b/c systematics should be on the back

  hMC010->SetMarkerSize(0);
  hMC010->Draw("h,same");
  
  CMS_lumi(c1, iPeriod, iPos ); 
    
  TLegend *l =new TLegend(0.43,0.63,0.9,0.81);
l->AddEntry(hData010,"Data","P");
l->AddEntry(hMC010,useMC ? "Pythia6" : "pp-based reference","l");
 if(inc_or_bjet)l->SetHeader("b dijets");
 else l->SetHeader("Inclusive dijets");
 l->SetFillStyle(0);
 l->Draw();



  SavePlot(c1,"xJ010"+species);

  TCanvas *c2=new TCanvas("c2","c2",600,600);


  hData1030->SetMarkerColor(color);
  hData1030->SetLineColor(color);
  hMC1030->SetLineColor(color);

  hData1030->GetXaxis()->CenterTitle(1);
  hData1030->GetYaxis()->CenterTitle(1);
  hData1030->SetYTitle("Event fraction");
  hData1030->Draw();
  hData1030sys->Draw("e2,same");
  if (addppunc) hSmPP1030sys->Draw("e2,same");
  hData1030->Draw("same");
  
  hMC1030->SetMarkerSize(0);
  hMC1030->Draw("h,same");


  
  CMS_lumi(c2, iPeriod, iPos );

  l->Draw();



  SavePlot(c2,"xJ1030"+species);

    TCanvas *c3=new TCanvas("c3","c3",600,600);

  hData30100->SetMarkerColor(color);
  hData30100->SetLineColor(color);
  hMC30100->SetLineColor(color);
  hData30100->GetXaxis()->CenterTitle(1);
  hData30100->GetYaxis()->CenterTitle(1);
  hData30100->SetYTitle("Event fraction");
  hData30100->Draw();
  hData30100sys->Draw("e2,same");
  if (addppunc) hSmPP30100sys->Draw("e2,same");
  hData30100->Draw("same");
  
  hMC30100->SetMarkerSize(0);
  hMC30100->Draw("h,same");

  
  
  CMS_lumi(c3, iPeriod, iPos );

  l->Draw();
  
SavePlot(c3,"xJ30100"+species);



  lumi_sqrtS = lumi_sqrtSpp;
  

   TCanvas *c4=new TCanvas("c4","c4",600,600);


  hDataPP->SetMarkerColor(color);
  hDataPP->SetLineColor(color);
  hMCPP->SetLineColor(color);

  hDataPP->GetXaxis()->CenterTitle(1);
  hDataPP->GetYaxis()->CenterTitle(1);
  hDataPP->SetYTitle("Event fraction");
  hDataPP->Draw();
  hDataPPsys->Draw("e2,same");  
  hDataPP->Draw("same");
  hMCPP->SetMarkerSize(0);
  hMCPP->Draw("h,same");
  
  
  CMS_lumi(c4, iPeriod, iPos );


  l->Clear();
  l->AddEntry(hDataPP,"Data","P");
  l->AddEntry(hMCPP,"Pythia6","l");
  if(inc_or_bjet)l->SetHeader("b dijets");
  else l->SetHeader("Inclusive dijets");

  l->Draw();



SavePlot(c4,"xJpp"+species);
 
}
Пример #3
0
void BKGPrediction_4(){
  gROOT->Reset();
  gStyle->SetCanvasColor(0);
  gStyle->SetFrameBorderMode(0);
  gStyle->SetOptStat(0);
  gStyle->SetPalette(1,0);
  gStyle->SetTitleX(0.5);
  gStyle->SetTitleY(0.96);
  gStyle->SetPaintTextFormat(".2f");
  RooMsgService::instance().setGlobalKillBelow(RooFit::WARNING) ;
  
  float XMassWidth=200; float XMassBin=15; float XMassMin=0; float XMassMax=XMassWidth; float MAX = XMassWidth*XMassBin;bool save=true;
  float lep1PtCut=10; float tauPtCut=35; int bTagCut=1; float deltaRCut=1; float MassSvfitCut=10000; float METCut1 = 100; float METCut2 = 50; 
  float MassVisCut1=0; float MassVisCut2=0;

  const int N = 12; 
  Double_t xbins[N] = {0,300,600,800,1000,1200,1400,1600,1900,2200,2500,3000};
	
  for(int i=0; i<1; i++){
		
    TH1F *histo_PRE1 = new TH1F("histo_PRE1","histo_PRE1",N-1,xbins); 
    TH1F *histo_DAT1 = new TH1F("histo_DAT1","histo_DAT1",N-1,xbins); 
    TH1F *ERR1       = new TH1F("ERR1",      "ERR1",      N-1,xbins); 
    THStack *hs1     = new THStack("hs1","hs1");
    TH1F *histo_PRE2 = new TH1F("histo_PRE2","histo_PRE2",N-1,xbins); 
    TH1F *histo_DAT2 = new TH1F("histo_DAT2","histo_DAT2",N-1,xbins); 
    TH1F *ERR2       = new TH1F("ERR2",      "ERR2",      N-1,xbins); 
    THStack *hs2     = new THStack("hs2","hs2");
    TH1F *histo_PRE3 = new TH1F("histo_PRE3","histo_PRE3",N-1,xbins);
    TH1F *histo_DAT3 = new TH1F("histo_DAT3","histo_DAT3",N-1,xbins); 
    TH1F *ERR3       = new TH1F("ERR3",      "ERR3",      N-1,xbins); 
    THStack *hs3     = new THStack("hs3","hs3");
    TH1F *histo_PRE4 = new TH1F("histo_PRE4","histo_PRE4",N-1,xbins);
    TH1F *histo_DAT4 = new TH1F("histo_DAT4","histo_DAT4",N-1,xbins); 
    TH1F *ERR4       = new TH1F("ERR4",      "ERR4",      N-1,xbins); 
    THStack *hs4     = new THStack("hs4","hs4"); 
    TH1F *histo_PRE5 = new TH1F("histo_PRE5","histo_PRE5",N-1,xbins);
    TH1F *histo_DAT5 = new TH1F("histo_DAT5","histo_DAT5",N-1,xbins); 
    TH1F *ERR5       = new TH1F("ERR5",      "ERR5",      N-1,xbins); 
    THStack *hs5     = new THStack("hs5","hs5");
    
    TCanvas* c1 = new TCanvas("c1","c1",0,0,800,600); 
    BackgroundEstimation("MuoMuo",XMassWidth,XMassBin,XMassMin,XMassMax,histo_PRE1,histo_DAT1,ERR1,hs1,lep1PtCut,tauPtCut,bTagCut,METCut1,deltaRCut,MassSvfitCut,MassVisCut2);
    SavePlot(c1,MAX,histo_PRE1,histo_DAT1,ERR1,hs1,XMassWidth,XMassBin,XMassMin,XMassMax,"MuoMuo",save,lep1PtCut,tauPtCut,bTagCut,METCut1,deltaRCut,MassSvfitCut,MassVisCut2);
    	
    TCanvas* c2 = new TCanvas("c2","c2",0,0,800,600); 
    BackgroundEstimation("EleMuo",XMassWidth,XMassBin,XMassMin,XMassMax,histo_PRE2,histo_DAT2,ERR2,hs2,lep1PtCut,tauPtCut,bTagCut,METCut1,deltaRCut,MassSvfitCut,MassVisCut1);
    SavePlot(c2,MAX,histo_PRE2,histo_DAT2,ERR2,hs2,XMassWidth,XMassBin,XMassMin,XMassMax,"EleMuo",save,lep1PtCut,tauPtCut,bTagCut,METCut1,deltaRCut,MassSvfitCut,MassVisCut1);
    	
    TCanvas* c3 = new TCanvas("c3","c3",0,0,800,600); 
    BackgroundEstimation("EleEle",XMassWidth,XMassBin,XMassMin,XMassMax,histo_PRE3,histo_DAT3,ERR3,hs3,lep1PtCut,tauPtCut,bTagCut,METCut1,deltaRCut,MassSvfitCut,MassVisCut2);
    SavePlot(c3,MAX,histo_PRE3,histo_DAT3,ERR3,hs3,XMassWidth,XMassBin,XMassMin,XMassMax,"EleEle",save,lep1PtCut,tauPtCut,bTagCut,METCut1,deltaRCut,MassSvfitCut,MassVisCut2);
    
    TCanvas* c4 = new TCanvas("c4","c4",0,0,800,600); 
    BackgroundEstimation("EleTau",XMassWidth,XMassBin,XMassMin,XMassMax,histo_PRE4,histo_DAT4,ERR4,hs4,lep1PtCut,tauPtCut,bTagCut,METCut2,deltaRCut,MassSvfitCut,MassVisCut1);
    SavePlot(c4,MAX,histo_PRE4,histo_DAT4,ERR4,hs4,XMassWidth,XMassBin,XMassMin,XMassMax,"EleTau",save,lep1PtCut,tauPtCut,bTagCut,METCut2,deltaRCut,MassSvfitCut,MassVisCut1);
 
    TCanvas* c5 = new TCanvas("c5","c5",0,0,800,600); 
    BackgroundEstimation("MuoTau",XMassWidth,XMassBin,XMassMin,XMassMax,histo_PRE5,histo_DAT5,ERR5,hs5,lep1PtCut,tauPtCut,bTagCut,METCut2,deltaRCut,MassSvfitCut,MassVisCut1);
    SavePlot(c5,MAX,histo_PRE5,histo_DAT5,ERR5,hs5,XMassWidth,XMassBin,XMassMin,XMassMax,"MuoTau",save,lep1PtCut,tauPtCut,bTagCut,METCut2,deltaRCut,MassSvfitCut,MassVisCut1);
    
  }
}
Пример #4
0
void findfunc()
{

  //dijet case
  // auto fmcppbjt = config.getfile_djt("mcppbfa");
  // auto nt = (TTree *)fmcppbjt->Get("nt");
  // seth(18,40,220);
  // auto hd = geth("hd");
  // auto hn = geth("hn");
  // nt->Project("hd","jtpt2","weight*(pthat>80 && jtpt1>100 && abs(refparton_flavorForB1)==5 && abs(refparton_flavorForB2)!=5 && dphi21>2.1)");
  // nt->Project("hn","jtpt2","weight*(pthat>80 && jtpt1>100 && abs(refparton_flavorForB1)==5 && abs(refparton_flavorForB2)!=5 && dphi21>2.1 && discr_csvV1_2>0.9)");
  // hn->Divide(hn,hd,1,1,"B")
  // hn->Fit(f)
  

  auto fpp = new TF1("fpp","expo",40,200);
  auto f1 = new TF1("fPb1","expo",40,200);
  auto f2 = new TF1("fPb2","expo",40,200);
  auto f3 = new TF1("fPb3","expo",40,200);
  seth(18,40,200);


  auto ntpp = (TTree *)config.getfile_inc("mcppqcd")->Get("nt");

  auto hd = geth("hd");
  auto hn = geth("hn",";p_{T} [GeV];mistag probability");
  ntpp->Project("hd","jtpt","weight*(pthat>50 && refpt>20 && abs(refparton_flavorForB)!=5)");
  ntpp->Project("hn","jtpt","weight*(pthat>50 && refpt>20 && abs(refparton_flavorForB)!=5 && discr_csvV1>0.9)");
  hn->Divide(hn,hd,1,1,"B");
  // hn->Scale(1/hn->Integral());
  hn->Fit(fpp);

  auto nt = (TTree *)config.getfile_inc("mcPbqcd")->Get("nt");

  auto hd1 = geth("hd1");
  auto hn1 = geth("hn1",";p_{T} [GeV];mistag probability");
  nt->Project("hd1","jtpt","weight*(pthat>50 && refpt>20 && bin < 20 && abs(refparton_flavorForB)!=5)");
  nt->Project("hn1","jtpt","weight*(pthat>50 && refpt>20 && bin < 20 && abs(refparton_flavorForB)!=5 && discr_csvV1>0.9)");
  hn1->Divide(hn1,hd1,1,1,"B");
  // hn1->Scale(1/hn1->Integral());
  hn1->Fit(f1);

  auto hd2 = geth("hd2");
  auto hn2 = geth("hn2",";p_{T} [GeV];mistag probability");
  nt->Project("hd2","jtpt","weight*(pthat>50 && refpt>20 && bin>=20 && bin<60 && abs(refparton_flavorForB)!=5)");
  nt->Project("hn2","jtpt","weight*(pthat>50 && refpt>20 && bin>=20 && bin<60 && abs(refparton_flavorForB)!=5 && discr_csvV1>0.9)");
  hn2->Divide(hn2,hd2,1,1,"B");
  // hn2->Scale(1/hn2->Integral());
  hn2->Fit(f2);

  auto hd3 = geth("hd3");
  auto hn3 = geth("hn3",";p_{T} [GeV];mistag probability");
  nt->Project("hd3","jtpt","weight*(pthat>50 && refpt>20 && bin>=60 && abs(refparton_flavorForB)!=5)");
  nt->Project("hn3","jtpt","weight*(pthat>50 && refpt>20 && bin>=60 && abs(refparton_flavorForB)!=5 && discr_csvV1>0.9)");
  hn3->Divide(hn3,hd3,1,1,"B");
  // hn3->Scale(1/hn3->Integral());
  hn3->Fit(f3);


  // because of backward imcompatibility with root version on polui

  cout<<"auto fpp = new TF1(\"fpp\",\"expo\","<<fpp->GetXmin()<<","<<fpp->GetXmax()<<");"<<endl;
  cout<<"auto fPb1 = new TF1(\"fPb1\",\"expo\","<<f1->GetXmin()<<","<<f1->GetXmax()<<");"<<endl;
  cout<<"auto fPb2 = new TF1(\"fPb2\",\"expo\","<<f2->GetXmin()<<","<<f2->GetXmax()<<");"<<endl;
  cout<<"auto fPb3 = new TF1(\"fPb3\",\"expo\","<<f3->GetXmin()<<","<<f3->GetXmax()<<");"<<endl;


  cout<<"fpp->SetParameters("<<fpp->GetParameter(0)<<","<<fpp->GetParameter(1)<<");"<<endl;
  cout<<"fPb1->SetParameters("<<f1->GetParameter(0)<<","<<f1->GetParameter(1)<<");"<<endl;
  cout<<"fPb2->SetParameters("<<f2->GetParameter(0)<<","<<f2->GetParameter(1)<<");"<<endl;
  cout<<"fPb3->SetParameters("<<f3->GetParameter(0)<<","<<f3->GetParameter(1)<<");"<<endl;

  // hn->SetMinimum(0);
  // hn1->SetMinimum(0);
  // hn2->SetMinimum(0);
  // hn3->SetMinimum(0);


  auto fout = new TFile("../correctionfiles/BXmistagfunc.root","recreate");
  fout->cd();
  fpp->Write();
  f1->Write();
  f2->Write();
  f3->Write();
  hn->Write();
  hn1->Write();
  hn2->Write();
  hn3->Write();



  auto c = getc();
  f1->SetLineColor(kRed);
  f2->SetLineColor(kGreen);
  f3->SetLineColor(kOrange);
  fpp->SetLineColor(kBlue);

  auto l = getLegend();
  l->AddEntry(fpp,"pp","L");
  l->AddEntry(f1,"bin<20","L");
  l->AddEntry(f2,"20<bin<60","L");
  l->AddEntry(f3,"bin>60","L");

  f1->GetXaxis()->SetTitle("p_{T} [GeV]");
  f1->GetYaxis()->SetTitle("mistag probability");


  f1->Draw();
  f2->Draw("same");
  f3->Draw("same");
  fpp->Draw("same");

  l->Draw();

  SavePlot(c,"func");

  float x = 0.55;
  float y = 0.75;

  auto t= new TLatex();

  auto cpp = getc();
  hn->Draw();
  fpp->Draw("same");
  t->DrawLatexNDC(x,y,"pp");
  SavePlot(cpp,"pp");


  auto c1 = getc();
  hn1->Draw();
  f1->Draw("same");
  t->DrawLatexNDC(x,y,"PbPb 0-10%");
  SavePlot(c1,"bin_0_20");

  auto c2 = getc();
  hn2->Draw();
  f2->Draw("same");
  t->DrawLatexNDC(x,y,"PbPb 10-30%");
  SavePlot(c2,"bin_20_60");

  auto c3 = getc();
  hn3->Draw();
  f3->Draw("same");
  t->DrawLatexNDC(x,y,"PbPb 30-100%");
  SavePlot(c3,"bin_60");


  fout->Close();

}
Пример #5
0
void eclipsederive(bool data = false, int mode = 0)
{
  TString mcdt(data ? "dt" : "mc");

  macro m(Form("eclipsederive0707_%s_%d",mcdt.Data(),mode));

  // //just to know NS fractions in b-jet data
  // deriveNSfractions(data,mode,true);
  // cout<<"NSfracinc"<<mcdt<<" = {";
  // for (unsigned i=0;i<binbounds.size()-1;i++) {
  //   cout<<NSfrac[i];
  //   if (i<binbounds.size()-2) cout<<",";
  // }
  // cout<<"};"<<endl;

  deriveNSfractions(data,mode);

  derivefromNS(data);

  //derivefromprofile();

  auto ggg = new TGraph(meanb.size(),&meanb[0],&prob[0]);
  auto cc = getc();
  ggg->Draw("AP");
  SavePlot(cc,"probvsbin");



  vector<float> x = binmean;
  vector<float> xerr;
  vector<float> y,yerr;
  vector<float> z,zerr;


  for (unsigned i=1;i<binbounds.size();i++) {
    // int b1 = binbounds[i-1];
    // int b2 = binbounds[i];
    // x.push_back((b1+b2)/2);

    xerr.push_back(0);
    y.push_back(fs[i-1]->GetParameter(0));
    yerr.push_back(fs[i-1]->GetParError(0));

    z.push_back(fs[i-1]->GetParameter(1));
    zerr.push_back(fs[i-1]->GetParError(1));
  }
  auto c2 = getc();
  auto g= new TGraphErrors(x.size(),&x[0],&y[0],&xerr[0],&yerr[0]);
  g->Draw();
  SavePlot(c2,"par0cent");

  auto c3 = getc();
  auto g2 = new TGraphErrors(x.size(),&x[0],&z[0],&xerr[0],&zerr[0]);
  g2->Draw();
  SavePlot(c3,"par1cent");


  std::ofstream res (plotfoldername+"/eclipserapams.txt", std::ofstream::out);

  res<<"binmean"<<mcdt<<" = {";
  for (unsigned i=0;i<binmean.size();i++) {
    res<<binmean[i];
    if (i<binmean.size()-1) res<<",";
  }
  res<<"};"<<endl;

  res<<"NSfracinc"<<mcdt<<" = {";
  for (unsigned i=0;i<binbounds.size()-1;i++) {
    res<<NSfrac[i];
    if (i<binbounds.size()-2) res<<",";
  }
  res<<"};"<<endl;

  res<<"par0"<<mcdt<<" = {";
  for (unsigned i=1;i<binbounds.size();i++) {
    int b1 = binbounds[i-1];
    int b2 = binbounds[i];
    res<<fs[i-1]->GetParameter(0);
    if (i<binbounds.size()-1) res<<",";
  }
  res<<"};"<<endl;

  res<<"par1"<<mcdt<<" = {";
  for (unsigned i=1;i<binbounds.size();i++) {
    int b1 = binbounds[i-1];
    int b2 = binbounds[i];
    res<<fs[i-1]->GetParameter(1);
    if (i<binbounds.size()-1) res<<",";
  }
  res<<"};"<<endl;

  res.close();

}
Пример #6
0
void deriveNSfractions(bool data, int mode, bool bjet = false)
{
  if (mode==0) {
    for (unsigned i=0;i<binbounds.size()-1;i++)
      NSfrac.push_back(1);
    return;
  }
  if (mode==2) {
    for (unsigned i=0;i<binbounds.size()-1;i++)
      NSfrac.push_back(0.7);
    return;
  }
  if (mode==4) {
    for (unsigned i=0;i<binbounds.size()-1;i++)
      NSfrac.push_back(1.3);
    return;
  }

  TString fnpp;
  if (bjet)
    fnpp = data ? "dtppjpf" : "mcppbfa";
  else
    fnpp = data ? "dtppjpf" : "mcppqcd";
  auto filepp = config.getfile_djt(fnpp);

  seth(1,0,PI);
  auto hppNS = geth("hppNS");
  auto hppAS = geth("hppAS");

  Fill(filepp,[&] (dict &d) {
    if (bjet && !(d["discr_csvV1_1"]>0.9 && d["discr_csvV1_2"]>0.9)) return;
    if (d["jtpt1"]>pt1cut && d["jtpt2"]>pt2cut && d["dphi21"]<PI13) hppNS->Fill(d["dphi21"],d["weight"]);
    if (d["jtpt1"]>pt1cut && d["jtpt2"]>pt2cut && d["dphi21"]>PI23) hppAS->Fill(d["dphi21"],d["weight"]);
  });

  float a_pp = hppNS->Integral()/hppAS->Integral();
  cout<<"a_pp "<<a_pp<<endl;


  TString fnPbPb;
  if (bjet)
    fnPbPb = data ? "dtPbbjt" : "mcPbbfa";
  else
    fnPbPb = data ? "dtPbjcl" : "mcPbqcd";
  auto file = config.getfile_djt(fnPbPb);
  vector<TString> histn;
  for (unsigned i=0;i<binbounds.size()-1;i++)
    histn.push_back(Form("PbPb%d%d",binbounds[i],binbounds[i+1]));
  setv(histn);

  auto hPbPbNS = getv("hPbPbNS");
  auto hPbPbAS = getv("hPbPbAS");

  auto hPbPbNSsig = getv("hPbPbNSsig");

  Fill(file,[&] (dict &d) {
    int b = getbin(d["bin"]);
    float w = d["weight"];
    if (bjet && !(d["discr_csvV1_1"]>0.9 && d["discr_csvV1_2"]>0.9)) return;  
    if (bjet && d["pairCode21"]==0) w*=processweight((int)d["bProdCode"]);
    if (!data && d["pthat"]<50) return;  
    if (d["jtpt1"]>pt1cut && d["jtpt2"]>pt2cut && d["dphi21"]<PI13) hPbPbNS[b]->Fill(d["dphi21"],d["weight"]);
    if (d["jtpt1"]>pt1cut && d["jtpt2"]>pt2cut && d["dphi21"]>PI23) hPbPbAS[b]->Fill(d["dphi21"],d["weight"]);

    if (!data && d["jtpt1"]>pt1cut && d["jtpt2"]>pt2cut && d["dphi21"]<PI13 && (d["subid2"]==0 && d["refpt2"]>20))
      hPbPbNSsig[b]->Fill(d["dphi21"],d["weight"]);

  });

  vector<double> binmean;
  vector<double> nsfractrue;
  vector<double> nsfracest;

  for (unsigned i=0;i<binbounds.size()-1;i++) {
    float a_PbPb = hPbPbNS[i]->Integral()/hPbPbAS[i]->Integral();
    float x = (1-a_pp/a_PbPb)/(1-a_pp);
    NSfrac.push_back(mode==1 ? x : -1);// = old stupid adding of the signal : 2-x);
    // cout<<binbounds[i]<<" - "<<binbounds[i+1]<<" = "<<NSfrac[i]<<endl;

    nsfractrue.push_back(1-hPbPbNSsig[i]->Integral()/hPbPbNS[i]->Integral());
    nsfracest.push_back(NSfrac[NSfrac.size()-1]);
    binmean.push_back((binbounds[i]+binbounds[i+1])/2);
  }

  auto c = getc();
  TGraph *g = new TGraph(binbounds.size()-1,&binmean[0],&nsfractrue[0]);
  g->Draw();
  SavePlot(c,bjet ? "bjetfractionofNS" : "incfractionofNS");

  auto c2 = getc();
  TGraph *g2 = new TGraph(binbounds.size()-1,&binmean[0],&nsfracest[0]);
  g2->Draw();
  SavePlot(c2,bjet ? "bjetfractionofNSdata" : "incfractionofNSdata");



///////////////////////////// DATA:
// bin<20 : 0.93
// bin>=20 && bin<60 : 0.84
// bin>=60 : 0.39
////////////////////////////


}
Пример #7
0
void derivefromNS(bool data = false)
{
  // float shift = mode == 2 ? -2 : mode*2; //mode = 0,1,2 shift = 0,2,-2
  // cout<<"shift = "<<shift<<endl;

  auto file = config.getfile_djt(data ? "dtPbjcl" : "mcPbqcd");
  auto nt = (TTree *)file->Get("nt");

  for (unsigned i=1;i<binbounds.size();i++) {
    int b1 = binbounds[i-1];
    int b2 = binbounds[i];
    seth(71,38,180); //71,38
    auto h = geth(Form("h%d%d",b1,b2)); //allowing one more bin for overflow
    seth(b2-b1,b1,b2);
    auto hb = geth(Form("hb%d%d",b1,b2));

   
    TString mcappendix = data ? "" : "&& pthat>50";//"&& subid2!=0 && pthat>50"; //"&& pthat>50";//"&& !(subid2==0 && refpt2>20) && pthat>50"; //"&& pthat>80";//
   
    //Form("jtpt2+%f",shift)
    nt->Project(h->GetName(),"jtpt2", Form("weight*(jtpt1>100&&bin>=%d && bin<%d && dphi21<1.05 %s)",b1,b2,mcappendix.Data()));
    nt->Project(hb->GetName(),"bin", Form("weight*(jtpt1>100&&bin>=%d && bin<%d && dphi21<1.05 %s)",b1,b2,mcappendix.Data()));

    ScaleVisibleBins(h,NSfrac[i-1]);

    h->SetBinContent(1,h->GetBinContent(0)+h->GetBinContent(1));

    // auto p = new TProfile(Form("p%d%d",b1,b2),Form("prof"),71,38,180);
    // nt->Project(p->GetName(),"(subid2 == 0 && refpt2 > 20):jtptSignal2",Form("weight*(jtpt1>100&&bin>=%d && bin<%d && dphiSignal21<1.05 && !(subid2==0 && refpt2>20) && pthat>80)",b1,b2));


    auto g = getCDFgraph(h);
    g->GetXaxis()->SetTitle("p_{T,2} threshold [GeV]");
    g->GetYaxis()->SetTitle("found fraction");

    auto gtemp = getCDFgraph(h);
    meanb.push_back(hb->GetMean());
    prob.push_back(gtemp->Eval(pt));

    float c0=g->Eval(50);
    cout<<"prob at 50: "<<c0<<endl;

    auto gf = new TFile("graph.root","recreate");
    gtemp->Write();
    gf->Close();

    // auto f = new TF1(Form("f%d%d",b1,b2),"1-[0]*exp(-[1]*(x-40))",40,180);
    // f->SetParameters(0.1,0.1);
    // // f->FixParameter(1,0.08);

    // auto f = new TF1(Form("f%d%d",b1,b2),"TMath::Erf((x-[0])/[1])",40,180);
    // f->SetParameters(40,10);
    // f->FixParameter(1,25);

    auto f = new TF1(Form("f%d%d",b1,b2),"exp(-[0]*exp(-[1]*x))",40,180);
    f->SetParameters(100,0.1);
    // f->FixParameter(1,0.11); //!!!!!!!!!!

    f->SetLineColor(kRed);
    f->SetLineWidth(2);
    g->Fit(f,"RM");
    fs.push_back(f);
    binmean.push_back(hb->GetMean());

    float median = -1/f->GetParameter(1)*log(-1/f->GetParameter(0)*log(0.5));

    Draw({h});

    // h->Rebin(2);
    auto gcoarse = getCDFgraph(h);

    auto c = getc();
          TLatex *Tl = new TLatex();
    gcoarse->SetMinimum(0);g->SetMaximum(1);
    gcoarse->Draw("AP");
    f->Draw("same");
    Tl->DrawLatexNDC(0.6,0.55,"y=e^{-a e^{-b x} }");
    Tl->DrawLatexNDC(0.6,0.50,Form("a = %.1f",f->GetParameter(0)));
    Tl->DrawLatexNDC(0.6,0.45,Form("b = %.2f",f->GetParameter(1)));
    Tl->DrawLatexNDC(0.6,0.4,Form("PbPb bin %d-%d",b1,b2));
    Tl->DrawLatexNDC(0.6,0.35,Form("median = %.2f",median));

    TLine *l1 = new TLine(median,0,median, f->Eval(median));
    l1->Draw();
    TLine *l2 = new TLine(0,0.5,median, f->Eval(median));
    l2->Draw();

    // p->SetMarkerColor(kRed);
    // p->SetMarkerSize(1);
    // p->Draw("same");
    SavePlot(c,Form("fit%d%d",b1,b2));//return;
  }

}
Пример #8
0
void findtruthpp()
{
  seth(10,0,1);
  auto hmcppxJTrue = geth("hmcppxJTrue","true;x_{J};Event fractions");
  auto hmcppxJTrueTag = geth("hmcppxJTrueTag","true tagged;x_{J};Event fractions");
  auto hmcppxJTrueTagCorr = geth("hmcppxJTrueTagCorr","true tagged corrected;x_{J};Event fractions");

  TFile *fmcpp = new TFile(config.getFileName_djt("mcppbfa"));
  Fill(fmcpp,[&] (dict &m) {
    if (m["pthat"]<pthatcut) return;
    if (m[pairCodeSB1]!=0) return;
    // if (m["pthat"]<80) return;
    
    // if (m["bProdCode"]!=1) return;
    float w = m["weight"]*processweight((int)m["bProdCode"]);

    // float w = m["weight"];
    // if (m["bProdCode"]==2) return;

    float corr = tageffcorrectionpp(m["jtpt1"],m["jteta1"],m[jtptSB],m[jtetaSB]);
    float wb = w*corr;

    if (m["jtpt1"]>pt1cut && m["refpt1"]>50 && abs(m["refparton_flavorForB1"])==5 && m[jtptSB]>pt2cut && m[dphiSB1]>PI23)
      hmcppxJTrue->Fill(m[jtptSB]/m["jtpt1"],w);

    if (m["jtpt1"]>pt1cut && m["refpt1"]>50 && abs(m["refparton_flavorForB1"])==5 && m[jtptSB]>pt2cut && m[dphiSB1]>PI23
        && m["discr_csvV1_1"]>0.9 && m[discr_csvV1_SB]>0.9) {
      hmcppxJTrueTag->Fill(m[jtptSB]/m["jtpt1"],w);
      hmcppxJTrueTagCorr->Fill(m[jtptSB]/m["jtpt1"],wb);
    }


  });

  NormalizeAllHists();
  plotputmean = true;
  plotytitle = "Event fractions";
  plotdivide = false;
  // aktstring += "R=0.4 |#eta|<2.0";
  // plotsecondline = Form("p_{T,1}>%d GeV, p_{T,2}>%d GeV", (int)pt1cut, (int)pt2cut);
  // plotthirdline = "#Delta#phi>2/3#pi";
  plottextposy = 0.8;
  plottextposx = 0.2;

  plotmeanposy = 0.43;
  plotymax = 0.2;
  plotymin = 0;
  plotlegendpos = BottomRight;//TopLeft;
  
  aktstring = "pp";
  SetMC({hmcppxJTrue,hmcppxJTrueTag,hmcppxJTrueTagCorr});
  SetData({hmcppxJTrue});
  Draw({hmcppxJTrue,hmcppxJTrueTag,hmcppxJTrueTagCorr});


  hmcppxJTrue->SetMinimum(0);
  hmcppxJTrue->SetMaximum(0.3);
  hmcppxJTrue->SetLineWidth(2);
  hmcppxJTrue->SetMarkerStyle(kNone);
  hmcppxJTrue->SetFillStyle(0);

  hmcppxJTrueTag->SetMarkerStyle(kOpenCircle);
  hmcppxJTrueTagCorr->SetMarkerStyle(kOpenSquare);


  plotymax = 0.3;

  SetB({hmcppxJTrue,hmcppxJTrueTag,hmcppxJTrueTagCorr});


  float xjtrue = hmcppxJTrue->GetMean();
  float xjtruetag = hmcppxJTrueTag->GetMean();
  float xjtruetagcorr = hmcppxJTrueTagCorr->GetMean();

  float exjtrue = hmcppxJTrue->GetMeanError();
  float exjtruetag = hmcppxJTrueTag->GetMeanError();
  float exjtruetagcorr = hmcppxJTrueTagCorr->GetMeanError();

  auto c = getc();
  hmcppxJTrue->Draw("hist");
  hmcppxJTrueTag->Draw("E1,same");
  hmcppxJTrueTagCorr->Draw("E1,same");

  plotlegendpos = TopLeft;
  auto l = getLegend();
  l->AddEntry(hmcppxJTrue,Form("b-dijets, #LTx_{J}#GT=%.3f#pm%.3f",xjtrue,exjtrue),"L");
  l->AddEntry(hmcppxJTrueTag,Form("uncorrected, #LTx_{J}#GT=%.3f#pm%.3f",xjtruetag,exjtruetag),"P");
  l->AddEntry(hmcppxJTrueTagCorr,Form("corrected, #LTx_{J}#GT=%.3f#pm%.3f",xjtruetagcorr,exjtruetagcorr),"P");
  l->Draw();
  TLatex *Tl = new TLatex();
  Tl->DrawLatexNDC(0.2, 0.8, aktstring);
  SavePlot(c,"closurepp");
}
Пример #9
0
void findtruthPbPb(int binMin, int binMax)
{
  TFile *fmc = new TFile(config.getFileName_djt("mcPbbfa"));

  buildNamesuffix = TString::Format("_bin_%d_%d",binMin, binMax);
  //  buildTitlesuffix = TString::Format("%d-%d %%",binMin/2, binMax/2);

  seth(10,0,1);
  auto hmcPbPbxJTrue = geth("hmcPbPbxJTrue","PbPb true;x_{J};Event fractions");
  auto hmcPbPbxJTrueTag = geth("hmcPbPbxJTrueTag","PbPb true tagged;x_{J};Event fractions");
  auto hmcPbPbxJTrueTagCorr = geth("hmcPbPbxJTrueTagCorr","PbPb true tagged corrected;x_{J};Event fractions");
  auto hmcPbPbxJTrueTagCorrPt = geth("hmcPbPbxJTrueTagCorrPt","PbPb true tagged corrected pt;x_{J};Event fractions");
  auto hmcPbPbxJTrueTagCorrEta = geth("hmcPbPbxJTrueTagCorrEta","PbPb true tagged corrected eta;x_{J};Event fractions");
  auto hmcPbPbxJTrueTagCorrBin = geth("hmcPbPbxJTrueTagCorrBin","PbPb true tagged corrected bin;x_{J};Event fractions");

  seth(12,20,140);//10,40,100);
  auto hpt2true = geth("hpt2true","true;p_{T,2} GeV");
  auto hpt2truetag = geth("hpt2truetag","true tagged;p_{T,2} GeV");
  auto hpt2truetagovertrue = geth("hpt2truetagovertrue","true tagged/true;p_{T,2} GeV");
  auto hpt2truetagcorr = geth("hpt2truetagcorr","true tagged corrected;p_{T,2} GeV");
  auto hpt2truetagcorrovertrue = geth("hpt2truetagcorrovertrue","true tagged corrected/true;p_{T,2} GeV");

  seth(10,100,200);
  auto hpt1true = geth("hpt1true","true;p_{T,1} GeV");
  auto hpt1truetag = geth("hpt1truetag","true tagged;p_{T,1} GeV");
  auto hpt1truetagovertrue = geth("hpt1truetagovertrue","true tagged/true;p_{T,1} GeV");
  auto hpt1truetagcorr = geth("hpt1truetagcorr","true tagged corrected;p_{T,1} GeV");
  auto hpt1truetagcorrovertrue = geth("hpt1truetagcorrovertrue","true tagged corrected/true;p_{T,1} GeV");

  seth(10,0,200);
  auto hbintrue = geth("hbintrue","true;bin");
  auto hbintruetag = geth("hbintruetag","true tagged;bin");
  auto hbintruetagovertrue = geth("hbintruetagovertrue","true tagged/true;bin");
  auto hbintruetagcorr = geth("hbintruetagcorr","true tagged corrected;bin");
  auto hbintruetagcorrovertrue = geth("hbintruetagcorrovertrue","true tagged corrected/true;bin");

  seth(20,-2,2);
  auto heta2true = geth("heta2true","true;#eta_{2}");
  auto heta2truetag = geth("heta2truetag","true tagged;#eta_{2}");
  auto heta2truetagovertrue = geth("heta2truetagovertrue","true tagged/true;#eta_{2}");
  auto heta2truetagcorr = geth("heta2truetagcorr","true tagged corrected;#eta_{2}");
  auto heta2truetagcorrovertrue = geth("heta2truetagcorrovertrue","true tagged corrected/true;#eta_{2}");

  auto heta1true = geth("heta1true","true;#eta_{1}");
  auto heta1truetag = geth("heta1truetag","true tagged;#eta_{1}");
  auto heta1truetagovertrue = geth("heta1truetagovertrue","true tagged/true;#eta_{1}");
  auto heta1truetagcorr = geth("heta1truetagcorr","true tagged corrected;#eta_{1}");
  auto heta1truetagcorrovertrue = geth("heta1truetagcorrovertrue","true tagged corrected/true;#eta_{1}");

  unordered_set<int> eventstodiscard = {1805770,1116573,1084397};//,
                                        // 5755734,1599758,395810,
                                      // 1363321,211625,3195128};
//

  Fill(fmc,[&] (dict &m) {
    if (m["bin"]<binMin || m["bin"]>=binMax) return;
    if (m["pthat"]<pthatcut) return;
    if (m[pairCodeSB1]!=0) return;

    // if (m["bProdCode"]>1) return;

    if (eventstodiscard.find(m["event"])!=eventstodiscard.end()) return; //kill large-weight GSP event

    float w = m["weight"]*processweight((int)m["bProdCode"]); //because we have only b-dijets


    float corr = tageffcorrectionPbPb(m["jtpt1"],m["jteta1"],m[jtptSB],m[jtetaSB],m["bin"]);
    // float corrpt  = getPbPbcorrectionPt(m["jtpt1"],m[jtptSB]);
    // float correta = getPbPbcorrectionEta(m["jteta1"],m[jtetaSB]);
    // float corrbin = getPbPbcorrectionBin(m["bin"]);


    float wb = w*corr;



   if (m["jtpt1"]>pt1cut && m["refpt1"]>50 && abs(m["refparton_flavorForB1"])==5 && m[jtptSB]>pt2cut && m[refptSB]>20 && m[dphiSB1]>PI23) {
      hmcPbPbxJTrue->Fill(m[jtptSB]/m["jtpt1"],w);
      hpt2true->Fill(m[jtptSB],w);
      hpt1true->Fill(m["jtpt1"],w);
      heta2true->Fill(m[jtetaSB],w);
      heta1true->Fill(m["jteta1"],w);
      hbintrue->Fill(m["bin"],w);
   }

    if (m["jtpt1"]>pt1cut && m["refpt1"]>50 && abs(m["refparton_flavorForB1"])==5 && m[jtptSB]>pt2cut && m[refptSB]>20 && m[dphiSB1]>PI23
        && m["discr_csvV1_1"]>0.9 &&  m[discr_csvV1_SB]>0.9) { //

     //corrpt *= m[jtptSB] < 60 ? 1./0.7 : 1;
     //wb *= m[jtptSB] < 60 ? 1./0.7 : 1;

      hmcPbPbxJTrueTag->Fill(m[jtptSB]/m["jtpt1"],w);
      hmcPbPbxJTrueTagCorr->Fill(m[jtptSB]/m["jtpt1"],wb);
      // hmcPbPbxJTrueTagCorrPt->Fill(m[jtptSB]/m["jtpt1"],w*corrpt);
      // hmcPbPbxJTrueTagCorrEta->Fill(m[jtptSB]/m["jtpt1"],w*corrpt*correta);
      // hmcPbPbxJTrueTagCorrBin->Fill(m[jtptSB]/m["jtpt1"],w*corrpt*correta*corrbin);


      hpt2truetag->Fill(m[jtptSB],w);
      hpt1truetag->Fill(m["jtpt1"],w);
      heta2truetag->Fill(m[jtetaSB],w);
      heta1truetag->Fill(m["jteta1"],w);
      hbintruetag->Fill(m["bin"],w);

      hpt2truetagcorr->Fill(m[jtptSB],wb);
      hpt1truetagcorr->Fill(m["jtpt1"],wb);
      heta2truetagcorr->Fill(m[jtetaSB],wb);
      heta1truetagcorr->Fill(m["jteta1"],wb);
      hbintruetagcorr->Fill(m["bin"],wb);

    }






  });

  NormalizeAllHists();
//plotymax = 9999;
  aktstring = TString::Format("PbPb %d-%d %%",binMin/2, binMax/2);//TString::Format("PbPb#Delta#phi>2/3#pi %d-%d %%",binMin/2, binMax/2);

  SetMC({hmcPbPbxJTrue,hmcPbPbxJTrueTag,hmcPbPbxJTrueTagCorr});
  SetData({hmcPbPbxJTrue});
  hmcPbPbxJTrue->SetMinimum(0);
  hmcPbPbxJTrue->SetMaximum(0.3);
  hmcPbPbxJTrue->SetLineWidth(2);
  hmcPbPbxJTrue->SetMarkerStyle(kNone);
  hmcPbPbxJTrue->SetFillStyle(0);

  hmcPbPbxJTrueTag->SetMarkerStyle(kOpenCircle);
  hmcPbPbxJTrueTagCorr->SetMarkerStyle(kOpenSquare);


  plotymax = 0.3;
  Draw({hmcPbPbxJTrue,hmcPbPbxJTrueTag,hmcPbPbxJTrueTagCorr});

  SetB({hmcPbPbxJTrue,hmcPbPbxJTrueTag,hmcPbPbxJTrueTagCorr});

  float xjtrue = hmcPbPbxJTrue->GetMean();
  float xjtruetag = hmcPbPbxJTrueTag->GetMean();
  float xjtruetagcorr = hmcPbPbxJTrueTagCorr->GetMean();

  float exjtrue = hmcPbPbxJTrue->GetMeanError();
  float exjtruetag = hmcPbPbxJTrueTag->GetMeanError();
  float exjtruetagcorr = hmcPbPbxJTrueTagCorr->GetMeanError();

  auto c = getc();
  hmcPbPbxJTrue->Draw("hist");
  hmcPbPbxJTrueTag->Draw("E1,same");
  hmcPbPbxJTrueTagCorr->Draw("E1,same");

  plotlegendpos = TopLeft;
  auto l = getLegend();
  l->AddEntry(hmcPbPbxJTrue,Form("b-dijets, #LTx_{J}#GT=%.3f#pm%.3f",xjtrue,exjtrue),"L");
  l->AddEntry(hmcPbPbxJTrueTag,Form("uncorrected, #LTx_{J}#GT=%.3f#pm%.3f",xjtruetag,exjtruetag),"P");
  l->AddEntry(hmcPbPbxJTrueTagCorr,Form("corrected, #LTx_{J}#GT=%.3f#pm%.3f",xjtruetagcorr,exjtruetagcorr),"P");
  l->Draw();
  TLatex *Tl = new TLatex();
  Tl->DrawLatexNDC(0.2, 0.8, aktstring);
  SavePlot(c,Form("closure%d%d",binMin,binMax));


    // //if (binMin==0 && binMax==200) {

    // Draw({hmcPbPbxJTrueTag,hmcPbPbxJTrueTagCorrPt,hmcPbPbxJTrueTagCorrEta,hmcPbPbxJTrueTagCorrBin});
 

    // SetMC({hpt2truetag,hpt1truetag,heta2truetag,heta1truetag,hbintruetag});

    // plotputmean = false;

    // plotymax = 0.2;

    // Draw({hpt2true,hpt2truetag,hpt2truetagcorr});

    // plotymax = 0.3;

    // Draw({hpt1true,hpt1truetag,hpt1truetagcorr});

    // plotymax = 0.2;
    // Draw({heta2true,heta2truetag,heta2truetagcorr});
    // Draw({heta1true,heta1truetag,heta1truetagcorr});

    // plotymax = 1;
    // Draw({hbintrue,hbintruetag,hbintruetagcorr});


plotymin = 0;
plotymax = 0.2;

Draw({hpt2truetag,hpt2true});
Draw({hpt2truetagcorr,hpt2true});
hpt2truetagovertrue->Divide(hpt2truetag,hpt2true,1,1); //"B"
hpt1truetagovertrue->Divide(hpt1truetag,hpt1true,1,1); //"B"
heta2truetagovertrue->Divide(heta2truetag,heta2true,1,1); //"B"
heta1truetagovertrue->Divide(heta1truetag,heta1true,1,1); //"B"
hbintruetagovertrue->Divide(hbintruetag,hbintrue,1,1); //"B"


hpt2truetagcorrovertrue->Divide(hpt2truetagcorr,hpt2true,1,1); //"B"
hpt1truetagcorrovertrue->Divide(hpt1truetagcorr,hpt1true,1,1); //"B"
heta2truetagcorrovertrue->Divide(heta2truetagcorr,heta2true,1,1); //"B"
heta1truetagcorrovertrue->Divide(heta1truetagcorr,heta1true,1,1); //"B"
hbintruetagcorrovertrue->Divide(hbintruetagcorr,hbintrue,1,1); //"B"

 NormalizeAllHists();

Draw({hpt2truetagovertrue,hpt2truetagcorrovertrue});
Draw({hpt1truetagovertrue,hpt1truetagcorrovertrue});
Draw({heta2truetagovertrue,heta2truetagcorrovertrue});
Draw({heta1truetagovertrue,heta1truetagcorrovertrue});
Draw({hbintruetagovertrue,hbintruetagcorrovertrue});



 // }

}