TH1D *CombineCFs(vector<TH1D*> cfs, vector<Double_t> counts)
{
  // Take in a vector of cfs and a vector of counts, and use them to
  // make an averaged correlation function
  UInt_t nCFs = cfs.size();

  if(nCFs == 0) {
    cout << "No CFs found in collection. Cannot combine" << endl;
    return NULL;
  } else if (nCFs == 1) {
    cout<<"Only one cf found in collection."<<endl
	<<"Cannot combine."<<endl
	<<"Returning the found CF."<<endl;;
    return cfs[0];
  }
  assert(nCFs == counts.size());

  TH1D *combinedCF = (TH1D*)cfs[0]->Clone();
  combinedCF->Scale(counts[0]);
  Double_t totalCounts = counts[0];

  // Add together weighted cfs
  for(UInt_t i = 1; i < nCFs; i++) {
    TH1D *copyCF = (TH1D*) cfs[i]->Clone();
    Double_t thisCount = counts[i];
    copyCF->Scale(thisCount);
    combinedCF->Add(copyCF);
    totalCounts += thisCount;
    delete copyCF; copyCF = NULL;
  }
  
  // Now get average
  combinedCF->Scale(1./totalCounts);
  return combinedCF;
}
void  makeGaussianSignals(SigData_t& m_sigdata)
{
  //std::vector<TH1D *> vgsh(NUMCHAN);
  std::vector<TH1D *> vcdfh(NUMCHAN);

  if( m_sigdata.find("gs") == m_sigdata.end() ) {
    cerr << "Gaussian signal data not found, not making CDF signal!" << endl;
    return;
  }

  for (int ichan=0; ichan<NUMCHAN; ichan++) {
    TH1D *cdfh;

    TString channame(channames[ichan]);
    TString name;

    TH1D * gsh = m_sigdata["gs"].at(ichan);

    assert(gsh) ;

#if 0
    name = "Signalgs_"+channame;
    gsh = (TH1D *)tch->Clone(name.Data());

    assert(gsh);

    gsh->SetTitle("Gaussian signal");
    
    gsh->Reset();

    TF1 *g = (TF1 *)gROOT->GetFunction("gaus");
    g->SetParameters(1,gaussian_mean_mass_gev,gaussian_mass_sigma_gev);
    gsh->FillRandom("gaus",100000);

    // norm to 1pb signal with 1/fb integrated luminosity
    double norm = 1000 * gseffxacc[ichan]/gsh->Integral(0,gsh->GetNbinsX()+1,"width");

    //gsh->Scale(norm/eff_fudgefactor); // kludge: pre-undo the fudge in the next module
    gsh->Scale(norm);

    vgsh[ichan] = gsh;
#endif

    // New CDF bump, same as Gauss but set to CDF (obs/theor)*(LHC theor) = 3.43pb
    cdfh = (TH1D *)gsh->Clone("CDFbump");

    cdfh->Scale(3.43);

    vcdfh[ichan] = cdfh;

    cdfh->Draw();

    gsh->Draw("same");

  } // channel loop

  //m_sigdata["gs"]  = vgsh;
  m_sigdata["cdf"] = vcdfh;
}                                                           // makeGaussianSignals
Example #3
0
void MCtoSTATerrors() {
  TLatex *tplus = labelLatex(0.1364943,0.8114407,"MC sample");

  TFile *file0 = TFile::Open("results/StandardCutflow/allmc.root");

  TCanvas *c1 = new TCanvas();
  //TCanvas *c2 = new TCanvas();
  TH1D * LPplus = (TH1D*)file0->Get("RECO_PolPlots_50toinf/RECO_ICVarPFPlus");
  TH1D * LPminus = (TH1D*)file0->Get("RECO_PolPlots_50toinf/RECO_ICVarPFMinus");

  LPplus->Rebin(20);
  LPminus->Rebin(20);

  LPplus->Scale(0.3);
  LPminus->Scale(0.3);

  TH1D * newLPplus = (TH1D*)LPplus->Clone();
  TH1D * newLPminus = (TH1D*)LPminus->Clone();

  for(unsigned int i=1; i < LPplus->GetXaxis()->GetNbins(); i++) {
    newLPplus->SetBinError(i, TMath::Sqrt(LPplus->GetBinContent(i)));
    newLPminus->SetBinError(i, TMath::Sqrt(LPminus->GetBinContent(i)));
  }

  c1->cd();
  newLPplus->GetYaxis()->SetTitle("Events / 300 nb^{-1}");
  //newLPplus->GetXaxis()->SetTitle("LP(#mu^{+})");
  newLPplus->GetXaxis()->SetTitle("LP(#mu)");
  newLPplus->GetXaxis()->SetRangeUser(-1.0,2.0);
  newLPplus->SetLineWidth(3);
  newLPplus->SetLineStyle(2);
  newLPplus->SetLineColor(kRed);
  newLPplus->DrawCopy();
  tplus->DrawClone("same");

//   c2->cd();
//   newLPminus->GetYaxis()->SetTitle("Events / 100 nb^{-1}");
//   newLPminus->GetXaxis()->SetTitle("LP(#mu^{-})");
  newLPminus->SetLineWidth(3);
  newLPminus->SetLineStyle(2);
  newLPminus->SetLineColor(kBlack);
  newLPminus->DrawCopy("same");
//   tplus->DrawClone("same");

  leg = new TLegend(0.762931,0.720339,0.8649425,0.8622881,NULL,"brNDC");
  leg->AddEntry(newLPplus,"#mu^{+}","l");
  leg->AddEntry(newLPminus,"#mu^{-}","l");

  leg->SetFillColor(kWhite);
  leg->SetBorderSize(0);
  leg->SetTextFont(62);
  leg->DrawClone();

  file0->Close();

  return;
}
Example #4
0
// Takes as input a given process with corresponding luminosity, as well as sample CME, cuts, directory location, and output file name - saves corresponding histogram in root file.
void processtree(TString sample, Double_t weight, TLorentzVector CME, TString filename, TString directory, TString param, TString cut, std::clock_t start, Int_t all){

    //Open File
    TFile *f = new TFile(directory);
    TTree *ttree = (TTree*)f->Get(sample);

    TString recohistname, paramhistname;
    if (all==0){
        recohistname = "_recoilmassHIST";
        paramhistname = "_parameterHIST";
    }
    if (all==1){
        recohistname = "_recoilmassHIST_all";
        paramhistname = "_parameterHIST_all";
    }

    TString histname = sample + recohistname;
    TH1D *recoilmassHIST   = new TH1D(histname,histname,CME.M()/2,0,CME.M());
    //recoilmassHIST->SetCanExtend(kAllAxes);
    ttree->Project(histname, "recoilmass", cut);

    histname = sample + paramhistname;
    TH1D *parameterHIST   = new TH1D(histname,histname,CME.M()/2,1,-1);
    //parameterHIST->SetCanExtend(kAllAxes);
    ttree->Project(histname, param, cut);

    //Normalize Hist
    recoilmassHIST->Scale(1/recoilmassHIST->GetMaximum());
    parameterHIST->Scale(1/parameterHIST->GetMaximum()) ;

    //Normalize Hist
//    recoilmassHIST->Scale(weight);
//    parameterHIST->Scale(weight) ;

    // Writes yield of each histogram for each cut to text file
    ofstream myfile;
    Double_t yield = recoilmassHIST->Integral(); 
    myfile.open ("yield.txt", ios::app);
        cout << "Yield for " << sample << " for Cut " << param << " is " << yield << endl;
        myfile << param << " " << all << " " << sample << " " << yield << "\n"; //write to file
    myfile.close();

    if (recoilmassHIST->Integral() == 0){
        recoilmassHIST->Fill(0);
    }
    if (parameterHIST->Integral() == 0){
        parameterHIST->Fill(0);
    }

    TFile g(filename, "update");
    recoilmassHIST->Write();
    parameterHIST->Write();
    g.Close();
}
Example #5
0
void anaFragShape(TString infile="dj_HCPR-GoodTrkAndPixel_CleanEvt1130.root")
{
  TChain * djcalo = new TChain("djcalo/djTree");
  djcalo->Add(infile);
  aliases_dijet(djcalo);
  TChain * djcalopix = new TChain("djcalo_pxl/djTree");
  djcalopix->Add(infile);
  aliases_dijet(djcalopix);
  TString evtSel("(cent<10 && nljet>120 && abs(nljeta)<2 && aljet>50 && abs(aljeta)<2 && jdphi>2.5 && Aj>0.24)");
  TH1::SetDefaultSumw2();

  TCanvas * c0 = new TCanvas("c0","c0",500,500);
  djcalo->Draw("Aj>>hAj(20,0,1)",evtSel);
  djcalopix->Draw("Aj",evtSel,"Esame");

  TCanvas * c2 = new TCanvas("c2","c2",500,500);
  TH1D * hJDPhi = new TH1D("hJDPhi","hJDPhi",50,0,3.1416);
  TH1D * hJDPhi2 = new TH1D("hJDPhi2","hJDPhi",50,0,3.1416);
  Float_t numDJ = djcalo->Draw("jdphi>>hJDPhi",evtSel);
  Float_t numDJ2 = djcalopix->Draw("jdphi>>hJDPhi2",evtSel);
  cout << "num djs: " << numDJ << "  djs(pix)" << numDJ2 << endl;

  TH1D * hPNDRTrk = new TH1D("hPNDRTrk",";R(trk,jet);1/(N_{DJ} 2#piR) dp_{T}^{Trk}/dR",10,0,TMath::PiOver2());
  TH1D * hPNDRPix = new TH1D("hPNDRPix",";R(trk,jet);1/(N_{DJ} 2#piR) dp_{T}^{Trk}/dR",10,0,TMath::PiOver2());
  TH1D * hPADRTrk = new TH1D("hPADRTrk",";R(trk,jet);1/(N_{DJ} 2#piR) dp_{T}^{Trk}/dR",10,0,TMath::PiOver2());
  TH1D * hPADRPix = new TH1D("hPADRPix",";R(trk,jet);1/(N_{DJ} 2#piR) dp_{T}^{Trk}/dR",10,0,TMath::PiOver2());
  djcalo->Draw("pndr>>hPNDRTrk",Form("(%s&&ppt>=1.2)*(ppt/(TMath::TwoPi()*pndr))",evtSel.Data()));
  djcalopix->Draw("pndr>>hPNDRPix",Form("(%s&&ppt>=0.3&&ppt<1.2)*(ppt/(TMath::TwoPi()*pndr))",evtSel.Data()));
  djcalo->Draw("padr>>hPADRTrk",Form("(%s&&ppt>=1.2)*(ppt/(TMath::TwoPi()*padr))",evtSel.Data()));
  djcalopix->Draw("padr>>hPADRPix",Form("(%s&&ppt>=0.3&&ppt<1.2)*(ppt/(TMath::TwoPi()*padr))",evtSel.Data()));
  hPNDRTrk->Scale(1./(numDJ*hPNDRTrk->GetBinWidth(1)));
  hPNDRPix->Scale(1./(numDJ*hPNDRPix->GetBinWidth(1)));
  hPADRTrk->Scale(1./(numDJ*hPADRTrk->GetBinWidth(1)));
  hPADRPix->Scale(1./(numDJ*hPADRPix->GetBinWidth(1)));
  hPNDRPix->SetMinimum(50);
  hPNDRPix->SetMaximum(100);
  hPNDRTrk->SetMinimum(10);
  hPNDRTrk->SetMaximum(2000);
  hPNDRPix->SetMarkerStyle(kFullCircle);
  hPNDRTrk->SetMarkerStyle(kFullSquare);
  hPNDRPix->SetMarkerColor(kRed);
  hPNDRTrk->SetMarkerColor(kRed);
  hPADRPix->SetMarkerStyle(kOpenCircle);
  hPADRTrk->SetMarkerStyle(kOpenSquare);
  hPADRPix->SetMarkerColor(kBlue);
  hPADRTrk->SetMarkerColor(kBlue);
  TCanvas * c3 = new TCanvas("c3","c3",500,500);
  hPNDRPix->Draw("E");
  hPADRPix->Draw("Esame");
  TCanvas * c3_2 = new TCanvas("c3_2","c3_2",500,500);
  c3_2->SetLogy();
  hPNDRTrk->Draw("E");
  hPADRTrk->Draw("Esame");
}
Example #6
0
void plotTurnOn(TTree* inttree, TString triggerpass, TString variable, TString varname, TString varlatex)
{
  if(varname=="vtxprob")
    {
      BIN_MIN = 0;
      BIN_MAX = 1;
    }
  else if(varname=="ffls3d")
    {
      BIN_MIN = 0;
      BIN_MAX = 50;
    }
  else if(varname=="cosalpha")
    {
      BIN_MIN = 0.9;
      BIN_MAX = 1;
    }
  TH1D* hAll = new TH1D(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
  inttree->Project(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),variable,prefilter);
  TH1D* hMBseed = new TH1D(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
  inttree->Project(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),variable,Form("%s&&%s",prefilter.Data(),triggerpass.Data()));
  //cout<<hAll->Integral()<<endl;
  hAll->Scale(1./hAll->Integral());
  hMBseed->Scale(1./hMBseed->Integral());
  hAll->SetStats(0);
  hMBseed->SetStats(0);
  hAll->SetMaximum(hMBseed->GetMaximum()*1.3);
  hAll->SetLineWidth(2);
  hAll->SetLineColor(kBlue-7);
  hAll->SetFillColor(kBlue-7);
  hAll->SetFillStyle(3001);
  hMBseed->SetLineWidth(2);
  hMBseed->SetLineColor(kRed);
  hMBseed->SetFillColor(kRed);
  hMBseed->SetFillStyle(3004);
  TCanvas* c = new TCanvas(Form("c%s_%s",triggerpass.Data(),varname.Data()),"",500,500);
  hAll->Draw();
  hMBseed->Draw("same");
  TLatex* tex = new TLatex(0.18,0.96,triggerpass);
  tex->SetNDC();
  tex->SetTextFont(42);
  tex->SetTextSize(0.04);
  tex->Draw();
  TLegend* leg = new TLegend(0.60,0.82,0.92,0.93);
  leg->SetFillStyle(0);
  leg->SetBorderSize(0);
  leg->AddEntry(hAll,"all","f");
  leg->AddEntry(hMBseed,"pass trigger","f");
  leg->Draw();
  c->SaveAs(Form("triggerturnonPlots/pthat%.0f/c%s_%s.pdf",pthat,triggerpass.Data(),varname.Data()));

}
Example #7
0
TH1D * DrawHistogram(TList *list, char *name,char *option, Int_t rebin, Int_t color, Int_t marker, Float_t scale, Bool_t draw = kTRUE){

  TH1D *histo = list->FindObject(name);
  histo->SetMarkerColor(color);
  histo->SetMarkerStyle(marker);
  histo->SetLineColor(color);
  histo->Rebin(rebin);
  histo->Scale(1.0/((Float_t)rebin));
  histo->Scale(scale);
  histo->SetMarkerSize(1.2);
  if(draw) histo->Draw(option);
  return histo;
}
Example #8
0
void compare(){

  TFile *fileJian=new TFile("InputsPurdue/PromptRAA_D0_PbPb_spectrum_fonll_effunpre_cent0to100_ptbin12_y1_dataplusfonll.root");
  TFile *fileRawJian=new TFile("InputsPurdue/Dspectrum_pbpb_data_ptbin_14_ptd_unpreMBtrig_0_cent0to100_y1.root");
  TH1D *hspectrumJian = (TH1D*)fileJian->Get("D0_pbpb_spectrum");
  TH1D *rawJian = (TH1D*)fileRawJian->Get("N_mb_expobkg_count");

  hspectrumJian->Scale(5.67*1e-9);
  
  TFile *fileMIT=new TFile("InputsMIT/alphaD0.root");
  TH1D *hspectrumMIT = (TH1D*)fileMIT->Get("hPtCor");
  TH1D *hrawMIT = (TH1D*)fileMIT->Get("hPt");
  hspectrumMIT->Scale(0.90*1./(2*0.0388*3.01781340000000000e+07));
  
  TCanvas*c=new TCanvas("c","",500,500);
  c->cd();
  c->SetLogy();
  hspectrumMIT->Draw();
  hspectrumMIT->SetLineWidth(4);
  hspectrumJian->Draw("same");
  
  
  
  
  TFile*fEffJian=new TFile("InputsPurdue/D0_PbPb_acc_eff_ptbin_14_ybin_6_prompt_FONLLweight_cent-0to100_dataptshape_y1_Ncollweight1.root");
  TH1D *EffJian = (TH1D*)fEffJian->Get("d0accxeff_pt");
  TH1D *EffMIT = (TH1D*)fileMIT->Get("hEff");
  
  cout<<"bin center MIT"<<EffMIT->GetBinCenter(1)<<"GeV, efficiency="<<EffMIT->GetBinContent(1)<<endl; 
  cout<<"bin center Jian"<<EffJian->GetBinCenter(4)<<"GeV, efficiency="<<EffJian->GetBinContent(4)<<endl; 
  cout<<"bin center MIT"<<hrawMIT->GetBinCenter(1)<<"GeV, raws="<<hrawMIT->GetBinContent(1)<<endl; 
  cout<<"bin center Jian"<<rawJian->GetBinCenter(4)<<"GeV, raws="<<rawJian->GetBinContent(4)<<endl; 
  cout<<"*************"<<endl;
  cout<<"bin center MIT"<<EffMIT->GetBinCenter(7)<<"GeV, efficiency="<<EffMIT->GetBinContent(7)<<endl; 
  cout<<"bin center Jian"<<EffJian->GetBinCenter(10)<<"GeV, efficiency="<<EffJian->GetBinContent(10)<<endl; 
  cout<<"bin center MIT"<<hrawMIT->GetBinCenter(7)<<"GeV, raws="<<hrawMIT->GetBinContent(7)<<endl; 
  cout<<"bin center Jian"<<rawJian->GetBinCenter(10)<<"GeV, raws="<<rawJian->GetBinContent(10)<<endl; 
  
  
  for (int i=1;i<11;i++){
  cout<<"pt centre="<<EffJian->GetBinCenter(i+3)<<",value="<<hspectrumMIT->GetBinContent(i)/hspectrumJian->GetBinContent(i+3)<<endl;
  
  
  
  
  }

  
  

}
Example #9
0
TH1D* getQCD(int rebinFact){
	TString dir = "rootFiles/";
	
	TFile* file = new TFile(dir +"qcdest.root");		
	TH1D* plot = (TH1D*) file->Get("muon_AbsEta_0btag");

// 	for(int i = 1; i <= plot->GetNbinsX(); i++){
// 	plot->SetBinError(i, 0.0);
// 	}

	plot->SetFillColor(kYellow);
	plot->SetLineColor(kYellow);
	plot->SetMarkerStyle(1);
		
	TH1D* copyplot = new TH1D("qcd plot", "qcd plot", 30, 0.0, 3.0);
	
	for(int i = 1; i <= plot->GetNbinsX(); i++){
	copyplot->SetBinContent(i, plot->GetBinContent(i));
	//copyplot->SetBinError(i, plot->GetBinError(i));
	}
	copyplot->SetFillColor(kYellow);
	copyplot->SetLineColor(kYellow);
	copyplot->SetMarkerStyle(1);
	copyplot->Scale(1./copyplot->Integral());	
	copyplot->Rebin(rebinFact);
	
	//file->Close("R");
	return copyplot;
	//file->Close();
}
Example #10
0
void mc2ibd_NE(TChain *tMC, TFile *fBgnd, TCanvas *cv)
{
	char str[1024];
	TLatex *txt = new TLatex();

	TH1D *hExp = (TH1D *) fBgnd->Get("hNEA-diff");
	if (!hExp) {
		printf("Histogram hNEA-diff not found in %s\n", fBgnd->GetName());
		return;
	}
	hExp->SetTitle("Delayed event energy;MeV;Events/200 keV");
	hExp->SetLineColor(kBlack);
	hExp->SetLineWidth(3);

	gROOT->cd();
	TH1D *hMC = new TH1D("hNEMC", "Delayed event energy (MC);MeV;Events/200 keV", 45, 3, 12);
	hMC->SetLineColor(kBlue);
	tMC->Project(hMC->GetName(), "NeutronEnergy", cX && cY && cZ && cR && c20 && cGamma && cGammaMax && cPe);
	hMC->Sumw2();
	hMC->Scale(hExp->Integral(15, 45) / hMC->Integral(15,45));
	
	cv->Clear();
	hMC->Draw("hist");
	hExp->DrawCopy("same");
	TLegend *lg = new TLegend(0.65, 0.8, 0.89, 0.89);
	lg->AddEntry(hExp, "IBD", "LE");
	lg->AddEntry(hMC, "MC", "L");
	lg->Draw();
}
Example #11
0
void mc2ibd_R2(TChain *tMC, TFile *fBgnd, TCanvas *cv)
{
	char str[1024];
	TLatex *txt = new TLatex();

	TH1D *hExp = (TH1D *) fBgnd->Get("hR2A-diff");
	if (!hExp) {
		printf("Histogram hR2A-diff not found in %s\n", fBgnd->GetName());
		return;
	}
	hExp->SetTitle("Distance between positron and neutron, 3D case;cm;Events/4cm");
	hExp->SetLineColor(kBlack);
	hExp->SetLineWidth(3);

	gROOT->cd();
	TH1D *hMC = new TH1D("hR2MC", "Distance between positron and neutron, 3D case (MC);cm;Events/4cm", 40, 0, 160);
	hMC->SetLineColor(kBlue);
	tMC->Project(hMC->GetName(), "Distance", cX && cY && cZ && cRXY && c20 && cGamma && cGammaMax && cPe && cN);
	hMC->Sumw2();
	hMC->Scale(hExp->Integral() / hMC->Integral());
	
	cv->Clear();
	hExp->DrawCopy();
	hMC->Draw("hist,same");
	TLegend *lg = new TLegend(0.65, 0.8, 0.89, 0.89);
	lg->AddEntry(hExp, "IBD", "LE");
	lg->AddEntry(hMC, "MC", "L");
	lg->Draw();
}
Example #12
0
TH1D* getSample(TString sample, double weight){
	TString dir = "rootFilesV4/central/";
	TFile* file = new TFile(dir + sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
	//TDirectoryFile* folder = (TDirectoryFile*) file->Get("TTbarPlusMetAnalysis/QCD No Iso/Muon/");
	
	TH1D* plot = (TH1D*) file->Get("EventCount/"+Variable);

        if(sample == "TTJet"){
	plot->SetFillColor(kRed+1);
        plot->SetLineColor(kRed+1);
	}else if(sample == "WJetsToLNu" || sample == "W1Jet" || sample == "W2Jets"|| sample == "W3Jets"|| sample == "W4Jets"){
	plot->SetLineColor(kGreen-3);	  
  	plot->SetFillColor(kGreen-3);
	}else if(sample == "DYJetsToLL" || sample == "DY1JetsToLL" || sample == "DY2JetsToLL" || sample == "DY3JetsToLL" || sample == "DY4JetsToLL"){
	plot->SetFillColor(kAzure-2);
	plot->SetLineColor(kAzure-2);
	}else if(sample == "QCD_Pt_20_MuEnrichedPt_15" || sample == "QCD_Pt-15to20_MuEnrichedPt5" || sample=="QCD_Pt-15to20_MuEnrichedPt5" || sample =="QCD_Pt-20to30_MuEnrichedPt5" || sample ==    "QCD_Pt-30to50_MuEnrichedPt5" || sample ==    "QCD_Pt-50to80_MuEnrichedPt5" || sample ==    "QCD_Pt-80to120_MuEnrichedPt5" || sample ==   "QCD_Pt-120to170_MuEnrichedPt5" || sample ==  "QCD_Pt-170to300_MuEnrichedPt5" || sample ==  "QCD_Pt-300to470_MuEnrichedPt5" || sample ==  "QCD_Pt-470to600_MuEnrichedPt5" || sample ==  "QCD_Pt-800to1000_MuEnrichedPt5" || sample =="QCD_Pt-1000_MuEnrichedPt5" 	 ){
	plot->SetFillColor(kYellow);
	plot->SetLineColor(kYellow);
	}else if(sample == "T_t-channel" || sample == "T_tW-channel" || sample == "T_s-channel" || sample == "Tbar_t-channel" || sample == "Tbar_tW-channel" || sample == "Tbar_s-channel"){
	plot->SetFillColor(kMagenta);
	plot->SetLineColor(kMagenta);
	}
	
	if(sample != "SingleMu")
	plot->Scale(19.605/19.584);
	//plot->Scale(weight);
	
	plot->Rebin(rebinFact);
	
	return plot;

}
Example #13
0
void
LoadHistogramTH1D(const TString& histogramName, const TString& inputFilename, double scale, TH1D*& returnedHistogram, bool debug = false)
{
// {{{
    TFile inputFile(inputFilename);
    if (!inputFile.IsOpen())
    {
        cerr << "Could not open '" << inputFilename << "' for reading." << endl;
    }
    else
    {
        TH1D* histogram = dynamic_cast<TH1D*>( inputFile.Get(histogramName) );
        if (!histogram)
        {
            cerr << "No histogram named '" << histogramName << "' in file '" << inputFilename << "'" << endl;
        }
        else
        {
            if (debug) cerr << inputFilename << " " << histogramName << " entries=" << histogram->GetEntries() << " integral=" << histogram->Integral() << " scale*integral=" << scale*histogram->Integral() << endl;
            histogram->Scale(scale);
            if (!returnedHistogram)
            {
                returnedHistogram = new TH1D(*histogram);
                returnedHistogram->SetDirectory(0); // otherwise "TFile inputFile" owns this returnedHistogram and deletes it when "TFile inputFile" goes out of scope
            }
            else
            {
                returnedHistogram->Add(histogram);
            }
        }
        inputFile.Close();
    }
// }}}
};
Example #14
0
// Convert plots to paper format - no title, bigger fonts etc
void combineHists( TFile* fSig, TFile* fBg, TFile* fBg2, std::string histName, std::string plotOpt, std::string outputName, std::vector<double> scalingFactors, std::string label, std::string yTitle="DEFAULT"){
    TH1::SetDefaultSumw2();

    // for 3 hists - sig and 2 bg
    TCanvas c1;
    TH1D* hSig = fSig->Get(histName.c_str());
    hSig->SetLineColor(kRed);
    hSig->SetMarkerSize(0);
    doSignalHist(hSig);
    
    // Make combined BG hist
    // Need to rescale carefully
    std::vector<TFile*> files;
    files.push_back(fBg);
    files.push_back(fBg2);
    // TH1D* hBg = combine(files, histName, scalingFactors);
    TH1D* hBgA = fBg->Get(histName.c_str());
    TH1D* hBgB =  fBg2->Get(histName.c_str());
    TH1D* hBg = (TH1D*) hBgA->Clone();
    double total = scalingFactors[0]+scalingFactors[1];
    hBg->Scale(scalingFactors[0]/total);
    hBg->Add(hBgB, scalingFactors[1]/total);
    hBg->SetMarkerSize(0);
    doAltBGHist(hBg);
    
    THStack st("h","");
    st.Add(hSig);
    st.Add(hBg);
    st.Draw((plotOpt+"NOSTACK").c_str());
    st.GetXaxis()->SetTitle(hSig->GetXaxis()->GetTitle());
    if (yTitle == "DEFAULT") {
        st.GetYaxis()->SetTitle(hSig->GetYaxis()->GetTitle());
    } else {
        st.GetYaxis()->SetTitle(yTitle.c_str());
    }
    setAltTitleLabelSizes(&st.GetHistogram());
    st.SetTitle("");
    st.Draw((plotOpt+"NOSTACK").c_str());

    TLegend* l_all = new TLegend(0.65,0.6,0.89,0.89);
    l_all->AddEntry(hBg,"Gen. level QCD MC","lp");
    l_all->AddEntry((TObject*)0,"(b#bar{b} + q-g scatter,",""); //null pointers for blank entries
    l_all->AddEntry((TObject*)0,"q = b, #bar{b}, c, #bar{c})","");
    l_all->AddEntry(hSig, "Signal MC", "lp");
    l_all->AddEntry((TObject*)0,"m_{#phi} = 8 GeV", "");
    doStandardLegend(l_all);
    l_all->Draw();

    TPaveText t(0.15, 0.75, 0.5, 0.85, "NDC");
    t.AddText(label.c_str());
    doStandardText(&t);
    if (label != "") {
        t.Draw();
    }
    c1.SaveAs(outputName.c_str());

    if (!hSig) delete hSig;
    if (!hBg) delete hBg;
}
Example #15
0
void rebin (const char* filename, const char* histname, double rebin=2.0) {
        TFile* f = new TFile(filename,"update");
        TH1D* h = (TH1D*)f->Get(histname);
        h->Rebin(rebin);
        h->Scale(1.0/rebin);
        TFile* fileOut = new TFile(Form("rebin_%s",filename), "update");
        h->Write();
}
void plotCorrectionGenNested(){

	for(int deta = 0; deta < NdEtaBins+1; deta++){
		dEtaBins[deta] = dEtaBins[deta] - 0.00001;//fix bin boundary
	}


	TFile* file = new TFile("../rootfiles/CME_QvsdEta_pPb_EPOS_GEN_NestedLoop_v3.root");

	TH1D* QvsdEta[48];

	for(int deta = 0; deta < NdEtaBins; deta++){
		  
	  QvsdEta[deta] = (TH1D*) file->Get( Form("ana/QvsdEta_%d",deta) );
			
	}


	TH1D* hist1[3][2];
	TH1D* hist2[3][2];
	for(int sign = 0; sign < 1; sign++){
		for(int HF = 0; HF < 1; HF++){
			hist1[sign][HF] = new TH1D(Form("hist1_%d_%d",sign,HF),"test", NdEtaBins, dEtaBins);
			hist2[sign][HF] = new TH1D(Form("hist2_%d_%d",sign,HF),"test", NdEtaBins, dEtaBins);
		}
	}

	for(int deta = 0; deta < NdEtaBins; deta++){

		double Q_total_real_dEta = QvsdEta[deta]->GetMean();
		double Q_total_real_dEta_error = QvsdEta[deta]->GetMeanError();

		hist1[0][0]->SetBinContent(deta+1, Q_total_real_dEta );
		hist1[0][0]->SetBinError(deta+1,  Q_total_real_dEta_error);
	
	}

	TH1D* base3 = makeHist("base3","like sign(++)","#Delta#eta", "cos(#phi_{1}+#phi_{2}-2#phi_{3})/v2_{3}", 48,0,4.8);
    base3->GetXaxis()->SetTitleColor(kBlack);
    base3->GetYaxis()->SetRangeUser(-0.0015,0.001);
    base3->GetYaxis()->SetTitleOffset(1.9);

    TH1D* base4 = (TH1D*) base3->Clone("base4");

    TCanvas* c4 = makeCanvas("c4","c4");
	gPad->SetTicks();
	gPad->SetLeftMargin(0.20);
	gPad->SetBottomMargin(0.16);
	base3->Draw();
	TH1D* temp = (TH1D*)hist1[0][0]->Clone("temp");
	temp->Scale(1.0/0.20);
	temp->SetMarkerColor(kRed);
	temp->SetLineColor(kRed);
	temp->SetMarkerStyle(20);
	temp->Draw("Psame");


}
Example #17
0
void CompareBranch(string MCfilename, string CDfilename, string MCbranchname, string CDbranchname, string xtitle, string unit, string plotname, string MCcuts, string CDcuts, string MCweight, string CDweight, double xlow, double xup, int nbins)
{
  TH1D*  MChist = MakeBranchPlot(MCfilename,MCbranchname,MCcuts,MCweight,xlow,xup,nbins);
  TH1D*  CDhist = MakeBranchPlot(CDfilename,CDbranchname,CDcuts,CDweight,xlow,xup,nbins);
  MChist->Scale(1./MChist->Integral());
  CDhist->Scale(1./CDhist->Integral());
  MChist->SetDrawOption("B");
  MChist->SetFillColor(kOrange);
  MChist->SetLineColor(kOrange);
  MChist->SetMaximum(MChist->GetMaximum()*1.3);
  MChist->SetMinimum(0);
  // Draw everything
  plotmaker plotter(MChist);
  plotter.SetTitle(xtitle, unit);
  TCanvas* plot = plotter.Draw();
  CDhist->Draw("sameE1");
  plot->SaveAs((plotname+".pdf").c_str());
}
Example #18
0
void Normalize(TH1D &h, double normalization, bool norm_per_avg_width) {
    int nbins = h.GetNbinsX();
    double low = h.GetBinLowEdge(1);
    double high = h.GetBinLowEdge(nbins+1);
    double width = (high-low)/nbins;
    if(norm_per_avg_width) normalization *= width;
    double integral = h.Integral("width");
    h.Scale(normalization/integral);
}
Example #19
0
File: merge.C Project: XuQiao/HI
void merge(){
	TVectorD Nevent;	Nevent.ResizeTo(nbin);  Nevent.Zero();
     //   TVectorD totmultall;	totmultall.ResizeTo(nbin);      totmultall.Zero();
     //   TVectorD avgmultall;	avgmultall.ResizeTo(nbin);      avgmultall.Zero();
        TVectorD tottrk;	tottrk.ResizeTo(nbin);      tottrk.Zero();
//	TVectorD totptall;      totptall.ResizeTo(nbin);    totptall.Zero();
//	TVectorD totetaall;      totetaall.ResizeTo(nbin);    totetaall.Zero();
        TVectorD avgtrk;	avgtrk.ResizeTo(nbin);      avgtrk.Zero();
//	TVectorD avgmult;       avgmult.ResizeTo(nbin);
            
        TH2F* s[nbin];
        TH2F* b[nbin];
        for(int ibin=0;ibin<nbin;ibin++){
            s[ibin] = new TH2F(Form("s_%d",ibin),Form("signal",ibin),detastep,detamin,detamax,dphistep,dphimin,dphimax);
            s[ibin]->Sumw2();
            b[ibin]  = new TH2F(Form("b_%d",ibin), "background",detastep,detamin,detamax,dphistep,dphimin,dphimax);
            b[ibin]->Sumw2();
        }
        TFile *fout = new TFile(Form("Anav3_merged.root"),"Recreate");
        TFile *f[nFileAll];
        for(int ifile=; ifile<63; ifile++){
                f[ifile] = TFile::Open(Form("%s/Anav3_%d.root",outdir.Data(),ifile));
                if(!f[ifile]) continue;
		TVectorD* Nevent_t =  (TVectorD*)f[ifile]->Get(Form("Nevent"));
	//	TVectorD* totmultall_t =  (TVectorD*)f[ifile]->Get(Form("totmultall"));
		TVectorD* tottrk_t =  (TVectorD*)f[ifile]->Get(Form("tottrk"));
	//	TVectorD* totptall_t =  (TVectorD*)f[ifile]->Get(Form("totptall"));
//		TVectorD* totetaall_t =  (TVectorD*)f[ifile]->Get(Form("totetaall"));
		for(int ibin=0;ibin<nbin;ibin++){
			//	totptall[ibin] += (*totptall_t)[ibin];
			//	totetaall[ibin] += (*totetaall_t)[ibin];
			        Nevent[ibin] += (*Nevent_t)[ibin];
			  //      totmultall[ibin] += (*totmultall_t)[ibin];	
			        tottrk[ibin] += (*tottrk_t)[ibin];	
                                TH1D* s_t = (TH1D*)f[ifile]->Get(Form("signal_%d",ibin));
                                TH1D* b_t = (TH1D*)f[ifile]->Get(Form("background_%d",ibin));
                                s[ibin]->Add(s_t);
                                b[ibin]->Add(b_t);
		}
		f[ifile]->Close();
        }
    for(int ibin=0;ibin<nbin;ibin++){
    avgtrk[ibin] = tottrk[ibin]/Nevent[ibin];
    TH1D* hr = (TH1D*)s[ibin]->Clone("hr");
    hr->Divide(b[ibin]);
    hr->Scale(b[ibin]->GetBinContent(b[ibin]->FindBin(0,0)));

    fout->cd();
    Nevent.Write("Nevent");
    avgtrk.Write("avgtrk");
    TDirectory *dir0 = (TDirectory*)fout->mkdir(Form("D_%d",ibin));
    dir0->cd();
    s[ibin]->Write("s");
    b[ibin]->Write("b");
    hr->Write();
    }
}
Example #20
0
int main(){
	TFile * data = TFile::Open("TreesMu_Data_plots.root");
	TH1D * dataMtop = (TH1D*)data->Get("antiEtaFwDTrue_allW/antiEtaFwDTrue_allWcosTheta");
	
	TFile * tt = TFile::Open("TreesMu_TTBar_RW.root");
	
	TH1D * ttMtop = (TH1D*)tt->Get("MtopOutWindowTrue_allW/MtopOutWindowTrue_allWcosTheta");
	
	TH2D * ttMtop2D = (TH2D*)tt->Get("MtopOutWindowTrue_allW/MtopOutWindowTrue_allWcosTheta2D");
	
  std::pair<TF1, WeightFunctionCreator*> WeightFuncUD(WeightFunctionCreator::getWeightFunction("WeightFuncUDF", F0, FL));
  std::pair<TF1, WeightFunctionCreator*> WeightFuncDU(WeightFunctionCreator::getWeightFunction("WeightFuncDUF", F0, FL));
  cout<<F0 + F0Sys<<"\t"<<FL - FLSys<<endl;
	WeightFuncUD.first.SetParameters(F0 + F0Sys, FL - FLSys);
	WeightFuncDU.first.SetParameters(F0 - F0Sys, FL + FLSys);
	
	TH1D * ttUD = myReweightor(ttMtop2D,WeightFuncUD,"WeightFuncUD_");
	cout<<"ratio: "<<ttMtop2D->Integral()/ttUD->Integral()<<endl;
	ttUD->Scale(ttMtop2D->Integral()/ttUD->Integral());
	ttUD->Add(ttMtop);
	TH1D * wUD = (TH1D*)ttUD->Clone("wUD");
	wUD->Scale(-1.);
	wUD->Add(dataMtop);
	
	TH1D * ttDU = myReweightor(ttMtop2D,WeightFuncDU,"WeightFuncDU_");
	cout<<"ratio: "<<ttMtop2D->Integral()/ttDU->Integral()<<endl;
	ttDU->Scale(ttMtop2D->Integral()/ttDU->Integral());
	ttDU->Add(ttMtop);
	TH1D * wDU = (TH1D*)ttDU->Clone("wDU");
	wDU->Scale(-1.);
	wDU->Add(dataMtop);
	
	TFile * out = new TFile("file.root","recreate");
	out->cd();
	WeightFuncUD.first.Write();
	WeightFuncDU.first.Write();
	ttUD->Write();
	ttDU->Write();	
	wUD->Write();
	wDU->Write();	
	out->Close();
	return 1;
}
Example #21
0
// Called just after the main event loop
// Can be used to write things out, dump a summary etc
// Return non-zero to indicate a problem
int TemplateCreator::AfterLastEntry(TGlobalData* gData, const TSetupData* setup){

  // Print extra info if we're debugging this module:
  if(Debug()){
     cout<<"-----I'm debugging TemplateCreator::AfterLastEntry()"<<endl;
  }

  // Print to stdout the percentage of successful fit for each channel
  StringPulseIslandMap::const_iterator it;
  for(it = gData->fPulseIslandToChannelMap.begin(); it != gData->fPulseIslandToChannelMap.end(); ++it){
    std::string bankname = it->first;
    std::string detname = setup->GetDetectorName(bankname);

    TH1D* hTemplate = fTemplates[detname];
    
    if (!hTemplate) { // if there's no template been created for this channel
      continue;
    }
    
    int& n_fit_attempts = fNFitAttempts[detname]; // number of pulses we try to fit to
    int& n_successful_fits = fNSuccessfulFits[detname];
    std::cout << "TemplateCreator: " << detname << ": " << n_fit_attempts << " fits attempted with " << n_successful_fits << " successful (" << ((double)n_successful_fits/(double)n_fit_attempts)*100 << "%)" << std::endl;

    // Normalise the template so that it has pedestal=0 and amplitude=1
    // Work out the pedestal of the template from the first 5 bins
    int n_bins_for_template_pedestal = 5;
    double total = 0;
    for (int iBin = 1; iBin <= n_bins_for_template_pedestal; ++iBin) {
      total += hTemplate->GetBinContent(iBin);
    }
    double template_pedestal = total / n_bins_for_template_pedestal;
    //    std::cout << detname << ": Template Pedestal = " << template_pedestal << std::endl;
   
    // Subtract off the pedesal
    for (int iBin = 1; iBin <= hTemplate->GetNbinsX(); ++iBin) {
      double old_value = hTemplate->GetBinContent(iBin);
      double new_value = old_value - template_pedestal;

      hTemplate->SetBinContent(iBin, new_value);
    }

    // Integrate over the histogram and scale to give an area of 1
    double integral = std::fabs(hTemplate->Integral()); // want the absolute value for the integral because of the negative polarity pulses
    hTemplate->Scale(1.0/integral);
    integral = std::fabs(hTemplate->Integral());

    // Save the template to the file
    fTemplateArchive->SaveTemplate(hTemplate);
  }

  // Clean up the template archive
  delete fTemplateArchive;

  return 0;
}
Example #22
0
void DrawNcollNpartdis(){
        int Gth=0;
	TFile *fGlauber = TFile::Open(stdGlaulist[Gth]);
	TTree *t = (TTree*)fGlauber->Get("nt_Pb_Pb");
        Float_t Ncoll, Npart, B;	Long_t Nevent;
	t->SetBranchAddress("Ncoll",&Ncoll);
	t->SetBranchAddress("Npart",&Npart);
	t->SetBranchAddress("B",&B);
        Nevent = (Long_t) t->GetEntries();
    	Long_t Ev;	Int_t Bino;	Double_t Para, Bi_Para;
        TH1D* hNcoll = new TH1D("","",4000,0,4000);
        TH1D* hNpart = new TH1D("","",4000,0,4000);
	for (Ev=0; Ev<Nevent; Ev++){
	//if(Ev%100000==0)	cout<<"\t"<<"Have run "<<Ev<<" events"<<endl;
        	t->GetEntry(Ev);
                hNcoll->Fill(Ncoll);
                hNpart->Fill(Npart);
        }
	TString name;
        if(Gth==0)
                name = "G0";
        else if(Gth<nGlau)
                name = Form("Glau_%d",Gth);
        else
                name = Form("bin_%d",Gth-nGlau+1);
        TCanvas *c1 = new TCanvas();
        c1->SetLogy();
        hNcoll->Scale(1./hNcoll->Integral());
        hNcoll->GetXaxis()->SetRangeUser(0,3000);
        hNcoll->GetXaxis()->SetTitle("Ncoll");
        hNcoll->GetYaxis()->SetTitle("Event Fraction");
        hNcoll->Draw();
        c1->Print(Form("%s_Ncoll.png",name.Data()));
        TCanvas *c2 = new TCanvas();
        c2->SetLogy();
        hNpart->Scale(1./hNpart->Integral());
        hNpart->GetXaxis()->SetRangeUser(0,500);
        hNpart->GetXaxis()->SetTitle("Npart");
        hNpart->GetYaxis()->SetTitle("Event Fraction");
        hNpart->Draw();
        c2->Print(Form("%s_Npart.png",name.Data()));
}
TH1D * getNiceHistogram(int nbins, std::vector<Double_t> binning, TFile * file, TString hist) {
  TH1D *sample = (TH1D*)(file->Get(hist)->Clone());
  TH1D *binned = dynamic_cast<TH1D*>(sample->Rebin(nbins,"madgraph",&binning.front()));
  for (Int_t bin=0; bin < nbins; bin++) {
    // Divide rebinned histogram's bin content by bin width factor (new/old):
    binned->SetBinError(bin+1,sqrt(binned->GetBinContent(bin+1))/((binning.at(bin+1)-binning.at(bin))/sample->GetBinWidth(1)));
    binned->SetBinContent(bin+1,binned->GetBinContent(bin+1)/((binning.at(bin+1)-binning.at(bin))/sample->GetBinWidth(1)));
  }
  binned->Scale(1/binned->Integral("width"));
  return binned;
}
Example #24
0
TH1D* GetRawSignal1D(int itrg, int jass)
{
		    TH2D* hsignal = GetRawSignal2D(itrg,jass); 
		    TH1D* hsignalphi = (TH1D*)hsignal->ProjectionY(Form("signalphi_trg%d_ass%d",itrg,jass),hsignal->GetXaxis()->FindBin(detaprojmin),hsignal->GetXaxis()->FindBin(detaprojmax),"e");
		    hsignalphi->Scale(hsignal->GetXaxis()->GetBinWidth(1));
		    hsignalphi->GetXaxis()->CenterTitle();
		    hsignalphi->GetYaxis()->CenterTitle();  
	            hsignalphi->SetYTitle("S(#Delta#phi)");	    
                    hsignalphi->SetName(Form("signalphi_scale_trg%d_ass%d",itrg,jass));      
                    return hsignalphi;
}
Example #25
0
TH1D* combine(std::vector<TFile*> files, std::string histName, std::vector<double> scalingFactors) {
    TH1::SetDefaultSumw2();
    // Get 1st hist in list
    TH1D* h = (TH1D*)files[0]->Get(histName.c_str())->Clone(files[0]->Get(histName.c_str())->GetName());
    h->Scale(scalingFactors[0]);
    for (unsigned i = 1; i < files.size(); i++) {
        TH1D* hTmp = (TH1D*) (files[i]->Get(histName.c_str()));
        h->Add(hTmp, scalingFactors[i]);
    }
    return h;
}
Example #26
0
TH1D* addScale(std::vector<TH1D*> plots, std::vector<double> scalingFactors) {
    TH1::SetDefaultSumw2();

    TH1D* h = (TH1D*)plots[0]->Clone(plots[0]->GetName());
    h->Scale(scalingFactors[0]);
    for (unsigned i = 1; i < plots.size(); i++) {
        // TH1D* hTmp = (TH1D*)plots[i]->Rebin(nBinsX, plots[0]->GetTitle(), &massBins[0]);
        h->Add(plots[i], scalingFactors[i]);
    }
    return h;
}
Example #27
0
TH1D* GetRawBackground1D(int itrg, int jass)
{
		    TH2D* hbackground = (TH2D*) GetRawBackground2D(itrg,jass);
		    TH1D* hbackphi = (TH1D*)hbackground->ProjectionY(Form("backphi_trg%d_ass%d",itrg,jass),hbackground->GetXaxis()->FindBin(detaprojmin),hbackground->GetXaxis()->FindBin(detaprojmax),"e");
		    hbackphi->Scale(hbackground->GetXaxis()->GetBinWidth(1));              
                    hbackphi->GetXaxis()->CenterTitle();
		    hbackphi->GetYaxis()->CenterTitle();
                    hbackphi->SetYTitle("B(#Delta#phi)");
                    hbackphi->SetName(Form("backphi_scale_trg%d_ass%d",itrg,jass));          
		    return hbackphi;
}
Example #28
0
TH1D* Draw(TString type, int color, int marker){

    TFile *f = new TFile(Form("trackCorr.root"),"ReadOnly");
    TH2F* heptrack= (TH2F*)f->Get("heptrack");
    if(type=="pt"){
        TH1D* heff = (TH1D*)heptrack->ProjectionX("heff",heptrack->GetYaxis()->FindBin(-2.4),heptrack->GetYaxis()->FindBin(2.4)-1,"i");
        heff->Scale(1.0/(heptrack->GetYaxis()->FindBin(2.4)-heptrack->GetYaxis()->FindBin(-2.4)));
        heff->Draw();
        cout<<(heptrack->GetYaxis()->FindBin(2.4)-heptrack->GetYaxis()->FindBin(-2.4))<<endl;
    }
    else if(type=="eta"){
        TH1D* heff = (TH1D*)heptrack->ProjectionY("heff",heptrack->GetXaxis()->FindBin(0.1),-1,"i");
        heff->Scale(1.0/(heptrack->GetNbinsX()-heptrack->GetXaxis()->FindBin(0.1)+1));
    }
    heff->SetMarkerStyle(marker);
    heff->SetMarkerColor(color);
    heff->SetLineColor(color);
    heff->SetMarkerSize(1.5);
  //  f->Close();
    return heff;
}
Example #29
0
  /** 
   * End of job processing 
   */
  void Terminate(Option_t*)
  {
    fList = dynamic_cast<TList*>(GetOutputData(1));
    if (!fList) {
      AliError(Form("No output list defined (%p)", GetOutputData(1)));
      if (GetOutputData(1)) GetOutputData(1)->Print();
      return;
    }


    TList* output = new TList;
    output->SetName("triggerResults");
    output->SetOwner();

    fVertexMC = static_cast<TH1D*>(fList->FindObject("vertexMC"));
    fVertexESD = static_cast<TH1D*>(fList->FindObject("vertexESD"));
    fM         = static_cast<TH1D*>(fList->FindObject("m"));
    if (fVertexMC) { 
      TH1D* vtxMC = static_cast<TH1D*>(fVertexMC->Clone("vertexMC"));
      vtxMC->SetDirectory(0);
      if (vtxMC->GetEntries() > 0)
	vtxMC->Scale(1. / vtxMC->GetEntries());
      else 
	vtxMC->Scale(0);
      output->Add(vtxMC);
    }
    if (fVertexESD) { 
      TH1D* vtxESD = static_cast<TH1D*>(fVertexESD->Clone("vertexESD"));
      vtxESD->SetDirectory(0);
      if (vtxESD->GetEntries() > 0)
	vtxESD->Scale(1. / vtxESD->GetEntries());
      else 
	vtxESD->Scale(0);
      output->Add(vtxESD);
    }
    if (fM) { 
      TH1D* m = static_cast<TH1D*>(fM->Clone("m"));
      m->SetDirectory(0);
      m->SetYTitle("P(N_{ch}|_{|#eta|<1} < X)");
      if (m->GetBinContent(1) > 0)
	m->Scale(1. / m->GetBinContent(1));
      else 
	m->Scale(0);
      output->Add(m);
    }      

    TString vtxReq;
    if (fVertexRequirement & kMC)  vtxReq.Append("MC ");
    if (fVertexRequirement & kESD) vtxReq.Append("ESD ");
    output->Add(new TNamed("vtxReq", vtxReq.Data()));
    output->Add(new TNamed("trkReq",
			   fTrackletRequirement == kMC ? "MC" : "ESD"));

    fInel.Finish(fList, output);
    fInelGt0.Finish(fList, output);
    fNSD.Finish(fList, output);
    fNClusterGt0.Finish(fList, output);

    PostData(2, output);
  }
Example #30
0
void DrawRandCone(string tag, int centmin, int centmax)
{
  TFile* f = new TFile(Form("merged/randcone_%s_centmin%d_centmax%d.root",tag.data(),centmin,centmax));
  TH1D* one = (TH1D*) f->Get("one");
  cout<<one->GetBinContent(1)<<endl;
  double norm = one->GetBinContent(1);
  
  TH1D * hmeanpfPtSumEta = (TH1D*) f->Get("hmeanpfPtSumEta");
  TH1D * hmeanpfVsPtSumEta = (TH1D*) f->Get("hmeanpfVsPtSumEta");
  TH1D * hmeanpfVsPtInitialSumEta = (TH1D*) f->Get("hmeanpfVsPtInitialSumEta");
  hmeanpfPtSumEta->GetXaxis()->CenterTitle();
  hmeanpfPtSumEta->GetYaxis()->CenterTitle();
  hmeanpfVsPtSumEta->GetXaxis()->CenterTitle();
  hmeanpfVsPtSumEta->GetYaxis()->CenterTitle();
  hmeanpfVsPtInitialSumEta->GetXaxis()->CenterTitle();
  hmeanpfVsPtInitialSumEta->GetYaxis()->CenterTitle();
  
  
  hmeanpfPtSumEta->Scale(1.0/norm);
  hmeanpfVsPtSumEta->Scale(1.0/norm);
  hmeanpfVsPtInitialSumEta->Scale(1.0/norm);
  
  
  TCanvas * c1 = new TCanvas("c1");
  hmeanpfPtSumEta->Draw();
  // hmeanpfVsPtSumEta->Draw();
  // hmeanpfVsPtInitialSumEta->Draw();
  
  TLatex * lmult = new TLatex(0.53, 0.95, Form("CMS PbPb %2.0f-%2.0f%%", centmin*0.5, centmax*0.5));
  lmult->SetNDC(1);
  lmult->SetTextSize(lmult->GetTextSize()*1.5);
  lmult->Draw();
  
  c1->SaveAs(Form("hmeanpfPtSumEta-%d_%d.png",centmin,centmax));
  // c1->SaveAs(Form("hmeanpfVsPtSumEta-%d_%d.png",centmin,centmax));
  // c1->SaveAs(Form("hmeanpfVsPtInitialSumEta-%d_%d.png",centmin,centmax));
}