Ejemplo n.º 1
0
TH1* getHisto(char * filename, char* histoName, char * dirName, int nBin, double lumi)
{
  TH1 * hpt_=0;
  TFile *file0 = TFile::Open(filename);
  if(!file0) return hpt_;
  TDirectory *dir;
  TH2D * hMuPt;

  if(dirName == "0") {
    hMuPt = (TH2D*) file0->Get(histoName);
  } else {
    dir = (TDirectory*) file0->Get(dirName);
    if(!dir) return hpt_;
    hMuPt = (TH2D*) dir->Get(histoName);
  }

  if(hMuPt) {
  hpt_ = (TH1*) hMuPt->Clone();
  hpt_->Sumw2();
  hpt_->Scale(1./lumi); // this take into into account the luminosity
  hpt_->SetLineWidth(2);
  hpt_->Rebin(nBin);
  double nBinX=hpt_->GetNbinsX();

  // overFlow
  hpt_->SetBinContent((int)nBinX,hpt_->GetBinContent((int)nBinX)+hpt_->GetBinContent((int)nBinX+1));
  hpt_->SetDirectory(0);
  file0->Close();
  hpt_->SetLineWidth(3);
  }
  return hpt_;
}
Ejemplo n.º 2
0
void runcorr(int filenum)
{


  string buffer;
  vector<string> listoffiles;
  int nlines = 0;
  ifstream infile("/net/hisrv0001/home/dav2105/corrana/makecorrhists/oldstuff/sortedforests.txt");

  if (!infile.is_open()) {
    cout << "Error opening file. Exiting." << endl;
    return;
  } else {
    while (!infile.eof()) {
      infile >> buffer;
      listoffiles.push_back(buffer);
      nlines++;
    }
  }


  corrana(listoffiles[filenum].data());
  
  double pttriglow[] = {1,4};
  double pttrighigh[] = {2,8};
  double ptasslow[] = {1,2};
  double ptasshigh[] = {2,3};
  int centmin[] = {0,4,8,12,16,20,24,28,32};
  int centmax[] = {40,8,12,16,20,24,28,32,36};
  TFile * outf = new TFile(Form("corrhists_%d.root",filenum),"recreate");
  
  // for(int i = 0 ; i < 9 ; ++i)
  // for(int i = 0 ; i < 2 ; ++i)
  for(int i = 0 ; i < 1 ; ++i)
  {
    cout<<"pt iteration "<<i<<endl;
    // for(int cent = 0 ; cent < 3 ; ++cent)
    // for(int cent = 0 ; cent < 9 ; ++cent)
    for(int cent = 0 ; cent < 1 ; ++cent)
    {
      cout<<"cent iteration "<<cent<<endl;
      TH2D * ttsig = TrackTrackSignal(pttriglow[i],pttrighigh[i],ptasslow[i],ptasshigh[i],centmin[cent],centmax[cent]);
      TH2D * ttbak = TrackTrackBackground(pttriglow[i],pttrighigh[i],ptasslow[i],ptasshigh[i],centmin[cent],centmax[cent]);
      // TCanvas * c1 = new TCanvas();
      // ttsig->Draw("surf1");
      // TCanvas * c2 = new TCanvas();
      // ttbak->Draw("surf1");
      // TCanvas * c3 = new TCanvas();
      TH2D * ttcorr = (TH2D*)ttsig->Clone(Form("corr_trg%d_%d_ass%d_%d_cmin%d_cmax%d",(int)pttriglow[i],(int)pttrighigh[i],(int)ptasslow[i],(int)ptasshigh[i],centmin[cent],centmax[cent]));
      ttcorr->Divide(ttbak);
      ttcorr->Scale(ttbak->GetBinContent(ttbak->FindBin(0,0)));
      ttcorr->GetXaxis()->SetRange(ttcorr->GetXaxis()->FindBin(-4.0),ttcorr->GetXaxis()->FindBin(4.0));
      ttcorr->GetYaxis()->SetRange(ttcorr->GetYaxis()->FindBin(-3.1415926/2.0),ttcorr->GetYaxis()->FindBin(3*3.1415926/2.0));
      // ttcorr->Draw("surf1");
    }
  }
  
  outf->Write();
  outf->Close();
}
Ejemplo n.º 3
0
TH2D* GetJetCorrFunc2D_ZYAM(int itrg, int jass)
{
                    TH2D* hcorr = (TH2D*)GetRawCorrFunc2D_ratio(itrg,jass);
                    TH2D* hcorr_clone = (TH2D*)hcorr->Clone(Form("corr_clone_itrg%d_jass%d",itrg,jass));
                    hcorr_clone->Reset();
		    for(int ietabin=1;ietabin<=hcorr->GetNbinsX();ietabin++)
		    {
                      TH1D* hcorrphi = (TH1D*)hcorr->ProjectionY(Form("corrphi_%d",ietabin),ietabin,ietabin,"e");  
                     // hcorrphi->SetAxisRange(0.35,1.57,"X");
                      double histminX = hcorrphi->GetBinCenter(hcorrphi->GetMinimumBin());
                      double histminY = hcorrphi->GetBinContent(hcorrphi->GetMinimumBin());
	   	      fitfunc = new TF1(Form("fitfunc_%d",ietabin),"[0]+[1]*(x-[2])*(x-[2])",0.6,1.2);		    
                      fitfunc->SetParameters(histminY,1,histminX);
                      fitfunc->SetParLimits(1,0,0.10000);
                  //    fitfunc->SetParLimits(2,0.35,1.57);
		      for(int ifit=0;ifit<3;ifit++) hcorrphi->Fit(Form("fitfunc_%d",ietabin),"RNO");                     		  
		      float level = fitfunc->GetParameter(0);
		      for(int iphibin=1;iphibin<=hcorr->GetNbinsY();iphibin++) 
                        hcorr_clone->SetBinContent(ietabin,iphibin,hcorr->GetBinContent(ietabin,iphibin)-level);
		    }
                    
                    float max = hcorr_clone->GetBinContent(hcorr_clone->GetMaximumBin());
                    hcorr_clone->SetAxisRange(ymin,max*1.3,"Z");		    
                    return hcorr_clone;
}
Ejemplo n.º 4
0
TH2D* GetJetCorrFunc2D_doublegaussian(int itrg, int jass)
{
                    TH2D* hcorr = (TH2D*)GetRawCorrFunc2D_ratio(itrg,jass);
                    TH2D* hcorr_clone = (TH2D*)hcorr->Clone(Form("corr_clone_itrg%d_jass%d",itrg,jass));
                    hcorr_clone->Reset();
		    for(int ietabin=1;ietabin<=hcorr->GetNbinsX();ietabin++)
		    {
                      TH1D* hcorrphi = (TH1D*)hcorr->ProjectionY(Form("corrphi_%d",ietabin),ietabin,ietabin,"e");  
                      float min = hcorrphi->GetMinimum();
                      hcorrphi->SetAxisRange(-1,1,"X");
                      float nearmax = hcorrphi->GetMaximum();
                      hcorrphi->SetAxisRange(PI-1,PI+1,"X");
                      float awaymax = hcorrphi->GetMaximum();

		      TF1* fitfunc = new TF1("fitfunc",doubleGaussian,-PI/2.,3.*PI/2.,5);		    
                      fitfunc->SetParameters(min,nearmax-min,0.3,awaymax-min,0.5);  
                      fitfunc->SetParLimits(0,0,100000);
                      fitfunc->SetParLimits(1,0,100000);
                      fitfunc->SetParLimits(2,0,100000);
                      fitfunc->SetParLimits(3,0,100000);
                      fitfunc->SetParLimits(4,0,100000);		    
		      for(int ifit=0;ifit<3;ifit++) hcorrphi->Fit(Form("fitfunc_%d",ietabin),"RNO");                     
		      float level = fitfunc->GetParameter(0);

		      for(int iphibin=1;iphibin<=hcorr->GetNbinsY();iphibin++) 
                        hcorr_clone->SetBinContent(ietabin,iphibin,hcorr->GetBinContent(ietabin,iphibin)-level);                      
                      delete fitfunc;
		    }

                    float max = hcorr_clone->GetBinContent(hcorr_clone->GetMaximumBin());
                    hcorr_clone->SetAxisRange(ymin,max*1.3,"Z");
                    return hcorr_clone;
}
Ejemplo n.º 5
0
TH2D* GetRawCorrFunc2D_ratio(int itrg, int jass)
{
                    TH2D* hsignal = GetRawSignal2D(itrg,jass);
		    TH2D* hbackground = GetRawBackground2D(itrg,jass);
		    hcorrelation = (TH2D*) hsignal->Clone(Form("correlation_trg%d_ass%d",itrg,jass));
                    hcorrelation->Divide(hbackground); 
                    hcorrelation->GetXaxis()->CenterTitle();
                    hcorrelation->GetYaxis()->CenterTitle();
                    hcorrelation->GetZaxis()->CenterTitle();
                    hcorrelation->SetZTitle("C(#Delta#eta,#Delta#phi)");
		    hcorrelation->SetAxisRange(detamin,detamax,"X");					
		    return hcorrelation;
}
Ejemplo n.º 6
0
//loads phi-pT efficiency from root file
TH2D *GetEfficiencyPhi(TString effLoc){
  TFile *fIn = 0;
  TH2D *hPhiPt = 0; 

  if(!fIn)fIn = TFile::Open(effLoc.Data());
  if(!fIn)Printf("%s%d no input data",(char*)__FILE__,__LINE__);
  if(!hPhiPt)hPhiPt = (TH2D*)fIn->Get("h2TrackPtPhiNorm");
  if(!hPhiPt) cout<<"Could not load h2TrackPtPhiNorm"<<endl; 
  if(!hPhiPt)Printf("%s%d no phi-pt efficiency spectrum available",(char*)__FILE__,__LINE__);

  gROOT->cd();
  TH2D *hPhiPtClone = (TH2D*)hPhiPt->Clone(hPhiPt->GetName()); 
  fIn->Close();
  return hPhiPtClone;

}
Ejemplo n.º 7
0
TH2D* Plot2D (std::string var,std::vector<TFile*>& tfiles,std::vector<double>& weights) {

    double weightTot = 0.0;
    for ( int i = 0; i<weights.size(); i++) {
        weightTot+=weights[i];
    }

    std::string name = var;
    name+="NEW";
    TH2D* hVar = (TH2D*)tfiles[0]->Get(var.c_str());
    TH2D* HVar = (TH2D*)hVar->Clone(name.c_str());
    //HVar->Sumw2();

    for (int i=1; i<tfiles.size(); i++) {
        TH2D* htempVar = (TH2D*)tfiles[i]->Get(var.c_str());
        HVar->Add(htempVar,weights[i]/weightTot);
    }

    return HVar;

}
Ejemplo n.º 8
0
TH2D* GetJetCorrFunc2D_ZYA1(int itrg, int jass)
{
                    TH2D* hcorr = (TH2D*)GetRawCorrFunc2D_ratio(itrg,jass);
                    TH2D* hcorr_clone = (TH2D*)hcorr->Clone(Form("corr_clone_itrg%d_jass%d",itrg,jass));
                    hcorr_clone->Reset();
		    for(int ietabin=1;ietabin<=hcorr->GetNbinsX();ietabin++)
		    {
                      TH1D* hcorrphi = (TH1D*)hcorr->ProjectionY(Form("corrphi_%d",ietabin),ietabin,ietabin,"e");  
                      hcorrphi->SetAxisRange(0.5,2.0,"X");
                      double histminY = hcorrphi->GetMinimum();
		      fitfunc = new TF1("fitfunc","[0]+[1]*x",0.8,1.2);		    
                      fitfunc->SetParameters(histminY,0);
                      fitfunc->FixParameter(1,0);
		      for(int ifit=0;ifit<3;ifit++) hcorrphi->Fit(Form("fitfunc_%d",ietabin),"RNO");                     
		      float level = fitfunc->GetParameter(0);
		      for(int iphibin=1;iphibin<=hcorrphi->GetNbinsY();iphibin++)
                        hcorr_clone->SetBinContent(ietabin,iphibin,hcorr->GetBinContent(ietabin,iphibin)-level);
                      delete fitfunc;
		    }

                    float max = hcorr_clone->GetBinContent(hcorr_clone->GetMaximumBin());
                    hcorr_clone->SetAxisRange(ymin,max*1.3,"Z");
                    return hcorr_clone;
}
Ejemplo n.º 9
0
void mcruncorr(int filenum = 0)
{


  string buffer;
  vector<string> listoffiles;
  int nlines = 0;
  ifstream infile("/net/hisrv0001/home/dav2105/corrana/makecorrhists/franksorted.txt");

  if (!infile.is_open()) {
    cout << "Error opening file. Exiting." << endl;
    return;
  } else {
    while (!infile.eof()) {
      infile >> buffer;
      listoffiles.push_back(buffer);
      nlines++;
    }
  }

  // int filenum = 13;
  
  cout<<"opening: "<<listoffiles[filenum].data()<<endl;
  // alicecorrana("/mnt/hadoop/cms/store/user/velicanu/mergedv1_sortedforest/mergesortv1_2.root");
  mccorrana(listoffiles[filenum].data());
  
  // double leadingjetptlow[] =     {0  ,70 ,70 ,120,90 ,60 ,120,90 ,60 };
  // double leadingjetpthigh[] =    {300,90 ,300,300,300,300,300,300,300};
  // double subleadingjetptlow[] =  {70 ,0  ,50 ,50 ,50 ,50 ,50 ,50 ,50 };
  // double subleadingjetpthigh[] = {90 ,300,300,300,300,300,300,300,300};
  // double ptasslow[] = {1,1,1,2,2,2,3,3,3};
  // double ptasshigh[] = {2,2,2,3,3,3,4,4,4};
  // int centmin[] = {0,4,8,16,24};
  // int centmax[] = {4,8,16,24,28};
  
  
  
  double leadingjetptlow[] =     {0  ,70 ,0  ,70 ,0  ,70 ,90 ,90 ,90 };
  double leadingjetpthigh[] =    {300,90 ,300,90 ,300,90 ,300,300,300};
  double subleadingjetptlow[] =  {70 ,0  ,70 ,0  ,70 ,0  ,50 ,50 ,50 };
  double subleadingjetpthigh[] = {90 ,300,300,300,300,300,300,300,300};
  double ptasslow[] =            {1  ,1  ,2  ,2  ,3  ,3  ,1  ,2  ,3  };
  double ptasshigh[] =           {2  ,2  ,3  ,3  ,4  ,4  ,2  ,3  ,4  };
  int centmin[] = {0,4,8,12,16,20};
  int centmax[] = {4,8,12,16,20,24};
  TFile * outf = new TFile(Form("frank_pf3_%d.root",filenum),"recreate");
  
  for(int i = 6 ; i < 9 ; ++i)
  {
    cout<<"pt iteration "<<i<<endl;
    // for(int cent = 0 ; cent < 3 ; ++cent)
    // for(int cent = 0 ; cent < 9 ; ++cent)
    for(int cent = 0 ; cent < 6 ; ++cent)
    {
      cout<<"cent iteration "<<cent<<endl;
      TH2D * ljtsig = JetTrackSignal(0, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent]);
      TH2D * ljtbak = JetTrackBackground(0, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent]);
      TH2D * ljtcorr = (TH2D*)ljtsig->Clone(Form("corr_leadingjet%d_%d_ass%d_%d_cmin%d_cmax%d",(int)leadingjetptlow[i],(int)leadingjetpthigh[i],(int)ptasslow[i],(int)ptasshigh[i],centmin[cent],centmax[cent]));
      ljtcorr->Divide(ljtbak);
      ljtcorr->Scale(ljtbak->GetBinContent(ljtbak->FindBin(0,0)));
      ljtcorr->GetXaxis()->SetRange(ljtcorr->GetXaxis()->FindBin(-1.6),ljtcorr->GetXaxis()->FindBin(1.6));
      ljtcorr->GetYaxis()->SetRange(ljtcorr->GetYaxis()->FindBin(-3.1415926/2.0),ljtcorr->GetYaxis()->FindBin(3*3.1415926/2.0));
      
        TH2D * sljtsig = JetTrackSignal(1, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent]);
      TH2D * sljtbak = JetTrackBackground(1, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent]);
      TH2D * sljtcorr = (TH2D*)sljtsig->Clone(Form("corr_subleadingjet%d_%d_ass%d_%d_cmin%d_cmax%d",(int)leadingjetptlow[i],(int)leadingjetpthigh[i],(int)ptasslow[i],(int)ptasshigh[i],centmin[cent],centmax[cent]));
      sljtcorr->Divide(sljtbak);
      sljtcorr->Scale(sljtbak->GetBinContent(sljtbak->FindBin(0,0)));
      sljtcorr->GetXaxis()->SetRange(sljtcorr->GetXaxis()->FindBin(-1.6),sljtcorr->GetXaxis()->FindBin(1.6));
      sljtcorr->GetYaxis()->SetRange(sljtcorr->GetYaxis()->FindBin(-3.1415926/2.0),sljtcorr->GetYaxis()->FindBin(3*3.1415926/2.0));
      
      
    }
  }
  outf->Write();
  outf->Close();
}
void makeTurnPhotonOn_fromTree()
{
  TFile *inFile = TFile::Open("hydjet_photons_compTree.root");
  //TFile *inFile = TFile::Open("/export/d00/scratch/luck/jet55_data_compTree_combined.root");
  TTree *inTree = (TTree*)inFile->Get("l1_photon_tree");

  Int_t run, lumi, evt;

  Int_t nl1Egamma;
  Int_t l1Egamma_hwPt[MAXJETS], l1Egamma_hwEta[MAXJETS], l1Egamma_hwPhi[MAXJETS], l1Egamma_hwQual[MAXJETS];
  Int_t l1Egamma_hwIso[MAXJETS];
  Float_t l1Egamma_pt[MAXJETS], l1Egamma_eta[MAXJETS], l1Egamma_phi[MAXJETS];

  Int_t nl1Jet;
  Int_t l1Jet_hwPt[MAXJETS], l1Jet_hwEta[MAXJETS], l1Jet_hwPhi[MAXJETS], l1Jet_hwQual[MAXJETS];
  Float_t l1Jet_pt[MAXJETS], l1Jet_eta[MAXJETS], l1Jet_phi[MAXJETS];

  Int_t emcand_hwPt[144], emcand_hwPhi[144], emcand_hwEta[144], emcand_hwIso[144];
  Int_t iso3x3[144], isoCross[144], isoFourPoint[144], isoSingle[144], isoHolePunch[144];

  Int_t region_hwPt[396], region_hwEta[396], region_hwPhi[396];

  Int_t nPhoton;
  Float_t photon_pt[MAXJETS];
  Float_t photon_eta[MAXJETS];
  Float_t photon_phi[MAXJETS];
  Float_t cc4[MAXJETS];
  Float_t cr4[MAXJETS];
  Float_t ct4PtCut20[MAXJETS];
  Float_t trkSumPtHollowConeDR04[MAXJETS];
  Float_t hcalTowerSumEtConeDR04[MAXJETS];
  Float_t ecalRecHitSumEtConeDR04[MAXJETS];
  Float_t hadronicOverEm[MAXJETS];
  Float_t sigmaIetaIeta[MAXJETS];
  Float_t isEle[MAXJETS];
  Float_t sigmaIphiIphi[MAXJETS];
  Float_t swissCrx[MAXJETS];
  Float_t seedTime[MAXJETS];

  Bool_t goodEvent;
  Int_t hiBin;

  Int_t L1_SingleEG2_BptxAND, L1_SingleEG5_BptxAND, L1_SingleEG8_BptxAND, L1_SingleEG12;


  inTree->SetBranchAddress("run",&run);
  inTree->SetBranchAddress("lumi",&lumi);
  inTree->SetBranchAddress("evt",&evt);

  inTree->SetBranchAddress("goodEvent",&goodEvent);
  inTree->SetBranchAddress("hiBin",&hiBin);

  inTree->SetBranchAddress("nl1Egamma",&nl1Egamma);
  inTree->SetBranchAddress("l1Egamma_hwPt",l1Egamma_hwPt);
  inTree->SetBranchAddress("l1Egamma_hwEta",l1Egamma_hwEta);
  inTree->SetBranchAddress("l1Egamma_hwPhi",l1Egamma_hwPhi);
  inTree->SetBranchAddress("l1Egamma_hwQual",l1Egamma_hwQual);
  inTree->SetBranchAddress("l1Egamma_hwIso",l1Egamma_hwIso);
  inTree->SetBranchAddress("l1Egamma_pt",l1Egamma_pt);
  inTree->SetBranchAddress("l1Egamma_eta",l1Egamma_eta);
  inTree->SetBranchAddress("l1Egamma_phi",l1Egamma_phi);

  inTree->SetBranchAddress("nl1Jet",&nl1Jet);
  inTree->SetBranchAddress("l1Jet_hwPt",l1Jet_hwPt);
  inTree->SetBranchAddress("l1Jet_hwEta",l1Jet_hwEta);
  inTree->SetBranchAddress("l1Jet_hwPhi",l1Jet_hwPhi);
  inTree->SetBranchAddress("l1Jet_hwQual",l1Jet_hwQual);
  inTree->SetBranchAddress("l1Jet_pt",l1Jet_pt);
  inTree->SetBranchAddress("l1Jet_eta",l1Jet_eta);
  inTree->SetBranchAddress("l1Jet_phi",l1Jet_phi);

  inTree->SetBranchAddress("emcand_hwPt",emcand_hwPt);
  inTree->SetBranchAddress("emcand_hwPhi",emcand_hwPhi);
  inTree->SetBranchAddress("emcand_hwEta",emcand_hwEta);
  inTree->SetBranchAddress("emcand_hwIso",emcand_hwIso);
  inTree->SetBranchAddress("iso3x3",iso3x3);
  inTree->SetBranchAddress("isoCross",isoCross);
  inTree->SetBranchAddress("isoFourPoint",isoFourPoint);
  inTree->SetBranchAddress("isoSingle",isoSingle);
  inTree->SetBranchAddress("isoHolePunch",isoHolePunch);

  inTree->SetBranchAddress("region_hwPt",region_hwPt);
  inTree->SetBranchAddress("region_hwPhi",region_hwPhi);
  inTree->SetBranchAddress("region_hwEta",region_hwEta);

  inTree->SetBranchAddress("nPhoton",&nPhoton);
  inTree->SetBranchAddress("photon_pt",photon_pt);
  inTree->SetBranchAddress("photon_eta",photon_eta);
  inTree->SetBranchAddress("photon_phi",photon_phi);

  inTree->SetBranchAddress("cc4",cc4);
  inTree->SetBranchAddress("cr4",cr4);
  inTree->SetBranchAddress("ct4PtCut20",ct4PtCut20);
  inTree->SetBranchAddress("trkSumPtHollowConeDR04",trkSumPtHollowConeDR04);
  inTree->SetBranchAddress("hcalTowerSumEtConeDR04",hcalTowerSumEtConeDR04);
  inTree->SetBranchAddress("ecalRecHitSumEtConeDR04",ecalRecHitSumEtConeDR04);
  inTree->SetBranchAddress("hadronicOverEm",hadronicOverEm);
  inTree->SetBranchAddress("sigmaIetaIeta",sigmaIetaIeta);
  inTree->SetBranchAddress("isEle",isEle);
  inTree->SetBranchAddress("sigmaIphiIphi",sigmaIphiIphi);
  inTree->SetBranchAddress("swissCrx",swissCrx);
  inTree->SetBranchAddress("seedTime",seedTime);

  inTree->SetBranchAddress("L1_SingleEG2_BptxAND", &L1_SingleEG2_BptxAND);
  inTree->SetBranchAddress("L1_SingleEG5_BptxAND", &L1_SingleEG5_BptxAND);
  inTree->SetBranchAddress("L1_SingleEG8_BptxAND", &L1_SingleEG8_BptxAND);
  inTree->SetBranchAddress("L1_SingleEG12", &L1_SingleEG12);


  Int_t nGen;
  Float_t gen_pt[MAXJETS], gen_eta[MAXJETS];//, gen_phi[MAXJETS];
  Float_t gen_iso[MAXJETS];
  Int_t gen_id[MAXJETS], gen_momId[MAXJETS];

  inTree->SetBranchAddress("nGen",&nGen);
  inTree->SetBranchAddress("gen_pt",gen_pt);
  inTree->SetBranchAddress("gen_eta",gen_eta);
  //inTree->SetBranchAddress("gen_phi",gen_phi);
  inTree->SetBranchAddress("gen_iso",gen_iso);
  inTree->SetBranchAddress("gen_id",gen_id);
  inTree->SetBranchAddress("gen_momId",gen_momId);


  TFile *outFile = new TFile(Form("hist_hydjet_photons_reco.root"),"RECREATE");
  outFile->cd();

  const int nBins = 100;
  const double maxPt = 100;

  TH1D *l1Pt = new TH1D("l1Pt",";L1 p_{T} (GeV)",nBins,0,maxPt);
  TH1D *fPt[3];
  fPt[0] = new TH1D("fPt",";offline p_{T} (GeV)",nBins,0,maxPt);
  fPt[1] = (TH1D*)fPt[0]->Clone("fPt_cen");
  fPt[2] = (TH1D*)fPt[0]->Clone("fPt_periph");
  TH1D *accepted[THRESHOLDS][3];
  TH1D *isoDistribution = new TH1D("isoDistribution",";isolation energy (GeV)",100, -5, 45);
  TH1D *badIsoDistribution = (TH1D*)isoDistribution->Clone("badIsoDistribution");

  TH1D *jetSpectra = new TH1D("jetSpectra","l1 jet (GeV)",64, 0, 256);
  TH1D *badJetSpectra = (TH1D*)jetSpectra->Clone("badJetSpectra");
  TH1D *goodJetSpectra = (TH1D*)jetSpectra->Clone("goodJetSpectra");


  for(int i = 0; i < THRESHOLDS; ++i)
    for(int j = 0; j < 3; ++j)
    {
      accepted[i][j] = new TH1D(Form("accepted_pt%d_%d",(int)L1_THRESHOLD[i],j),";offline p_{T}",nBins,0,maxPt);
    }

  TH2D *corr = new TH2D("corr",";offline p_{T};l1 p_{T}",nBins,0,maxPt,nBins,0,maxPt);
  TH2D *matching = new TH2D("matching",";#Delta #eta;#Delta #phi",100,-5,5,100,0, TMath::Pi() );
  TH2D *matched_bad = (TH2D*)matching->Clone("matched_bad");
  TH2D *absolute_position = new TH2D("absolute_position",";#eta;#phi",50,-5,5,50,-TMath::Pi(), TMath::Pi());

  Long64_t entries = inTree->GetEntries();
  for(Long64_t j = 0; j < entries; ++j)
  {
    if(j % 10000 == 0)
      printf("%lld / %lld\n",j,entries);

    inTree->GetEntry(j);

    double maxl1eta = -999;
    double maxl1phi = -999;
    double maxl1pt = -1;
    double iso = -999;

    //match to RCT candidates
    // for(int i = 0; i < 144; ++i)
    // {
    //   if( emcand_hwPt[i] > maxl1pt)
    //   	//if( ((0.5*iso3x3[i])-emcand_hwPt[i]) < 1.0 ) // 0.5 factor to convert to GeV, hacky
    //   {
    // 	maxl1pt = emcand_hwPt[i];
    // 	maxl1eta = getPhysicalEta(emcand_hwEta[i]);
    // 	maxl1phi = getPhysicalPhi(emcand_hwPhi[i]);
    // 	iso = (0.5*iso3x3[i])-emcand_hwPt[i];
    //   }

    // }

    // match to Layer 2 EGammas
    double maxisopt = l1Egamma_pt[0];
    double maxnonisopt = l1Egamma_pt[4];
    maxl1pt = std::max(maxisopt, maxnonisopt);

    //match to Layer 2 jets
    // for(int i = 0; i < nl1Jet; ++i)
    // {
    //   if(l1Jet_pt[i] > maxl1pt)
    //   {
    // 	maxl1eta = l1Jet_eta[i];
    // 	maxl1phi = l1Jet_phi[i];
    // 	maxl1pt = l1Jet_pt[i];
    // 	iso = 0;
    //   }
    // }

    // //match to regions
    // for(int i = 0; i < 396; ++i)
    // {
    //   if(region_hwPt[i] > maxl1pt)
    //   {
    // 	maxl1pt = region_hwPt[i];
    // 	maxl1eta = getPhysicalEta(region_hwEta[i]);
    //  	maxl1phi = getPhysicalPhi(region_hwPhi[i]);
    //   }
    // }

    double maxfpt = -1;
    double maxfeta = -999;
    double maxfphi = -999;

    //match to RECO
    for(int i = 0; i < nPhoton; ++i)
    {
      if(photon_pt[i] > maxfpt)
      if((cc4[i] + cr4[i] + ct4PtCut20[i]) < 1)
      if(TMath::Abs(photon_eta[i]) < 1.4791)
      if(!isEle[i])
      if(TMath::Abs(seedTime[i])<3)
      if(swissCrx[i] < 0.9)
      if(sigmaIetaIeta[i] > 0.002)
      if(sigmaIphiIphi[i] > 0.002)
      if(hadronicOverEm[i] < 0.1)
      {
    	maxfpt = photon_pt[i];
    	maxfeta = photon_eta[i];
    	maxfphi = photon_phi[i];
      }
    }

    // //match to GEN
    // for(int i = 0; i < nGen; ++i)
    // {
    //   if(TMath::Abs(gen_momId[i]) <= 22)
    //   if(gen_id[i] == 22)
    //   if(gen_iso[i] < 5)
    //   if(TMath::Abs(gen_eta[i]) < 1.479 )
    //   if(gen_pt[i] > maxfpt) {
    // 	maxfpt = gen_pt[i];
    // 	maxfeta = gen_eta[i];
    //   }
    // }

    //if(f_num > MAXJETS) std::cout << "TOO SMALL" << std::endl;
    l1Pt->Fill(maxl1pt);

    // if(goodEvent && maxl1pt < 8 && maxfpt > 30)
    // {
    //   std::cout << "***********" << std::endl;
    //   std::cout << "run lumi evt" << std::endl;
    //   std::cout << run << " " << lumi << " " << evt << std::endl;
    //   std::cout << "l1pt fpt" << std::endl;
    //   std::cout << maxl1pt << " " << maxfpt << std::endl;
    //   std::cout << "***********" << std::endl;
    // }

    if(goodEvent)
    {
      fPt[0]->Fill(maxfpt);
      if(hiBin < 60)
	fPt[1]->Fill(maxfpt);
      else if (hiBin >= 100)
	fPt[2]->Fill(maxfpt);

      corr->Fill(maxfpt,maxl1pt);
      double diffphi = TMath::Abs(maxfphi-maxl1phi);
      if(diffphi > TMath::Pi())
	diffphi = (2*TMath::Pi()) - diffphi;
      double diffeta = maxfeta-maxl1eta;
      matching->Fill(diffeta, diffphi);
      isoDistribution->Fill(iso);
      jetSpectra->Fill(l1Jet_pt[0]);

      if(maxl1pt <= 8 && maxfpt > 40)
      {
	matched_bad->Fill(diffeta, diffphi);
	goodJetSpectra->Fill(l1Jet_pt[0]);
	absolute_position->Fill(maxfeta, maxfphi);
      }
      //double deltaR = TMath::Sqrt(diffphi*diffphi + diffeta*diffeta);
      //if(deltaR > 0.5)
      if(maxfpt < 15)
      {
	badIsoDistribution->Fill(iso);
	badJetSpectra->Fill(l1Jet_pt[0]);
      }

      for(int k = 0; k < THRESHOLDS; ++k)
      {
	if(maxl1pt>L1_THRESHOLD[k])
	{
	// int threshold = 0;
	// switch(k)
	// {
	// case 0:
	//   threshold = L1_SingleEG2_BptxAND;
	//   break;
	// case 1:
	//   threshold = L1_SingleEG5_BptxAND;
	//   break;
	// case 2:
	//   threshold = L1_SingleEG8_BptxAND;
	//   break;
	// case 3:
	//   threshold = L1_SingleEG12;
	//   break;
	// }
	// if(threshold)
	// {
	  accepted[k][0]->Fill(maxfpt);
	  if(hiBin < 60)
	    accepted[k][1]->Fill(maxfpt);
	  else if (hiBin >= 100)
	    accepted[k][2]->Fill(maxfpt);
	}
      }
    }
  }

  TGraphAsymmErrors *a[THRESHOLDS][3];
  for(int k = 0; k < THRESHOLDS; ++k){
    for(int l = 0; l < 3; ++l)
    {
      a[k][l] = new TGraphAsymmErrors();
      a[k][l]->BayesDivide(accepted[k][l],fPt[l]);
      a[k][l]->SetName(Form("asymm_pt_%d_%d",(int)L1_THRESHOLD[k],l));
    }
  }

  l1Pt->Write();
  fPt[0]->Write();
  fPt[1]->Write();
  fPt[2]->Write();
  corr->Write();
  matching->Write();
  matched_bad->Write();
  isoDistribution->Write();
  badIsoDistribution->Write();
  jetSpectra->Write();
  badJetSpectra->Write();
  goodJetSpectra->Write();
  absolute_position->Write();
  for(int k = 0; k < THRESHOLDS; ++k){
    for(int l = 0; l < 3; ++l)
    {
      accepted[k][l]->Write();
      a[k][l]->Write();
    }
  }

  inFile->Close();
  outFile->Close();
}
Ejemplo n.º 11
0
void pidFitter::processSpecies( string species, int charge, reporter * rp ){
	cout << "[pidFitter." << __FUNCTION__ << "]" << endl;

	string hName = "nSig_" + sName( species, charge );
	// get the pt Binning
	vector<double>pBins = config->getDoubleVector( "binning.p" );

	string useNode = "";

	TH3* h3 = book->get3D( hName );
	int nFits = config->getInt( species + "_Fit:nFits", 1 );
	cout << "Number of Fit Categories: " << nFits << endl;
	for ( int iFit = 1; iFit <= nFits; iFit++ ){

		string optPath = species + "_Fit.opt" + config->getString( species + "_Fit.fit"+ts(iFit)+":options");
		int fBin = config->getInt( species + "_Fit.fit"+ts(iFit)+":min", 1 );
		int lBin = config->getInt( species + "_Fit.fit"+ts(iFit)+":max", pBins.size() );	

		cout << "Fitting P bins ( " << fBin << " --> " << lBin << " ) " << endl;
		for ( int i = fBin; i <= lBin; i ++ ){

			// get the Pt range for title etc.
			double pLow = h3->GetZaxis()->GetBinLowEdge( i );
			double pHi = h3->GetZaxis()->GetBinLowEdge( i + 1 );	

			// look at one Pt bin at a time
			h3->GetZaxis()->SetRange( i, i );
			
			// Get the 2D projection we want
			TH2D* proj;
			proj = (TH2D*)h3->Project3D( "xy" );

			string name = proj->GetName();
			TH2D* cut = (TH2D*) proj->Clone( (name + "cut").c_str() );
			rp->newPage( 1, 2 );
			proj->SetTitle( ( ts( pLow, 4 ) + " #leq " + " P #leq" + ts( pHi, 4 ) ).c_str()  );
			gPad->SetLogz( 1 );
			proj->Draw( "colz" );
			//nProj->Draw("colz");

			// process the square cuts
			makeSquareCuts( cut, optPath + ".squareCut" );

			// draw the distribution after square cuts
			rp->cd( 1, 2 );
			gPad->SetLogz( 1 );
			cut->SetTitle( ( "After 1D Cuts : " + ts( pLow, 4 ) + " #leq " + " P #leq" + ts( pHi, 4 ) ).c_str()  );
			cut->Draw( "colz" );
			rp->savePage( );

			// fit using the dkl algorithm
			if ( config->nodeExists( optPath + ".dkl" ) )
				runDkl( cut, rp, optPath );
			// runs the 2d gaussian fit
			else if ( config->nodeExists( optPath + ".mgf" ) )
				runMultiGauss( cut, rp, species, optPath, i );
			
			
		}

	} 
	
	
}
Ejemplo n.º 12
0
void BasicCase_tests::MyTest()
{
	float fnum = 2.00001f;
// 	CPPUNIT_FAIL("zxczc");
	CPPUNIT_ASSERT_DOUBLES_EQUAL( fnum, 2.0f, 0.0005 );

	std::string pattern_string("%%d pattern");
	std::string test_string("test pattern");
	std::string replace_string("test");

	TROOT troot("TreeAnalysis","compiled analysisDST macros");
	TApplication app();

// 	h->Draw();
// 	h->Print();
// 	hd->Print();

// 	h->PrintErrors();
// 	PrintErrors(hd);

	TH2DA * h2 = (TH2DA *)h->Clone("new h");
// 	h2->PrintErrors();

	h2->Divide(h);
// 	h2->PrintErrors();
	CPPUNIT_ASSERT_DOUBLES_EQUAL( sqrt(2), h2->GetBinErrorH(1, 1), 0.0005 );
	CPPUNIT_ASSERT_DOUBLES_EQUAL( 1.0, h2->GetBinContent(1, 1), 0.0005 );

	TH2D * hd2 = (TH2D*)hd->Clone("new hd");
	hd2->Divide(hd);
// 	PrintErrors(hd2);
	CPPUNIT_ASSERT_DOUBLES_EQUAL( sqrt(2), hd2->GetBinError(1, 1), 0.0005 );

	TH2DA * h3 = (TH2DA *)h->Clone("h3: new h");
	TH2DA * h4 = (TH2DA *)h->Clone("h4: new h");

	h3->Reset();
	h4->Reset();

	fill_flat(h3);
	fill_rising(h4);

// 	h3->PrintErrors();
// 	h4->PrintErrors();

	TH2DA * h5 = TH2DA::Efficiency("h5_eff", h3, h4);
// 	h5->PrintErrors();

// 	PR(h5->GetTotalErrorU());
// 	PR(h5->Integral());
// 	PR(h5->GetTotalErrorL());

	CPPUNIT_ASSERT_DOUBLES_EQUAL( (h5->GetTotalErrorH() - h5->GetTotalErrorL()) == 0.0, false, 0.0005 );

// 	TFile * f = new TFile("/tmp/test.root", "RECREATE");
// 	if (f->IsOpen())
// 	{
// 		f->cd();
// 		h5->Write();
// 		h5->GetAsymErrorsGraphX(4)->Write("grx");
// 		h5->GetAsymErrorsGraphY(4)->Write("gry");
// 		f->Close();
// 	}
}
Ejemplo n.º 13
0
void SimplePlot2D(){

  //string filename = "data/scan_CH1-64_unmasked.root";
  //string filename = "data/scan_CH1-50_masked.root";
  string filename = "test.root";
  string varXname = "VMM #";
  string varYname = "CH #";
  
  // delay count stuff
  int CH = 21;
  double delays[5];
  double count_tot[5];
  double count_right[5];
  for(int i = 0; i < 5; i++){
    delays[i] = double(i)*5.;
    count_tot[i] = 0.;
    count_right[i] = 0.;
  }
  
      

  ///////////////////////////////////////////////////////
  
  TChain* tree = new TChain("MMFE8","MMFE8");

  tree->AddFile(filename.c_str());

  MMFE8Base* base = new MMFE8Base(tree);

  int N = tree->GetEntries();

  TH2D* hist = new TH2D("hist","hist", 8, 0.5, 8.5, 64, 0.5,64.5);
  TH2D* histN = (TH2D*) hist->Clone("norm");
  TH2D* histchch = new TH2D("histchch","histchch", 64, 0.5, 64.5, 64, 0.5,64.5);
  TH2D* histDelay = new TH2D("histN","histN", 31, 9.5, 40.5, 5,-0.5, 4.5);	
  TH2D* histDelayD = new TH2D("histD","histD", 31, 9.5, 40.5, 5,-0.5, 4.5);

  for(int i = 0; i < N; i++){
    base->GetEntry(i);
    
    if(base->CHpulse == CH){
      //count_tot[base->Delay] += 1.;
      count_tot[(base->TPDAC-80)/20] += 1.;
      if(base->CHpulse == base->CHword)
	//count_right[base->Delay] += base->TDO;
      	count_right[(base->TPDAC-80)/20] += base->PDO;
    }

    //histDelayD->Fill(base->CHpulse,base->Delay);
    histDelayD->Fill(base->CHpulse,(base->TPDAC-80)/20);
    if(base->CHpulse == base->CHword)
      //histDelay->Fill(base->CHpulse,base->Delay,base->TDO);
      histDelay->Fill(base->CHpulse,(base->TPDAC-80)/20,base->PDO);

    if((base->CHpulse != base->CHword || true) &&
       base->VMM == 6)
      histchch->Fill(base->CHpulse,base->CHword);

    if(base->CHpulse != base->CHword)
      continue;

    hist->Fill(base->VMM,base->CHpulse,base->PDO);
    histN->Fill(base->VMM,base->CHpulse);
  
  }

  for(int x = 0; x < 8; x++){
    for(int y = 0; y < 64; y++){
      double v = hist->GetBinContent(x+1,y+1);
      double N = histN->GetBinContent(x+1,y+1);
      hist->SetBinContent(x+1,y+1,v/max(int(N),1));
    }
  }
  
  TLatex l;
  //l.NDC();

  TCanvas* can = new TCanvas("can","can",600,500);
  can->SetTopMargin(0.05);
  can->SetLeftMargin(0.12);
  can->SetRightMargin(0.15);
  gStyle->SetOptStat(0);
  gStyle->SetOptTitle(0);

  can->Draw();
  can->SetGridx();
  can->SetGridy();
  
  can->cd();

  hist->Draw("COLZ");
  
  hist->GetXaxis()->SetTitle(varXname.c_str());
  hist->GetXaxis()->CenterTitle();
  hist->GetYaxis()->SetTitle(varYname.c_str());
  hist->GetYaxis()->CenterTitle();
  hist->GetYaxis()->SetTitleOffset(1.4);
  hist->GetYaxis()->CenterTitle();
  //hist->GetYaxis()->SetRangeUser(0.,hist->GetMaximum()*1.1) ;

  TCanvas* canN = new TCanvas("canN","canN",600,500);
  canN->SetTopMargin(0.05);
  canN->SetLeftMargin(0.12);
  canN->SetRightMargin(0.15);

  canN->Draw();
  canN->SetGridx();
  canN->SetGridy();
  
  canN->cd();

  histN->Draw("COLZ");
  
  histN->GetXaxis()->SetTitle(varXname.c_str());
  histN->GetXaxis()->CenterTitle();
  histN->GetYaxis()->SetTitle(varYname.c_str());
  histN->GetYaxis()->CenterTitle();
  histN->GetYaxis()->SetTitleOffset(1.4);
  histN->GetYaxis()->CenterTitle();
			     
  TCanvas* canchch = new TCanvas("canchch","canchch",600,500);
  canchch->SetTopMargin(0.05);
  canchch->SetLeftMargin(0.12);
  canchch->SetRightMargin(0.15);

  canchch->Draw();
  canchch->SetGridx();
  canchch->SetGridy();
  
  canchch->cd();
  histchch->Draw("COLZ");
  
  histchch->GetXaxis()->SetTitle("CH pulsed");
  histchch->GetXaxis()->CenterTitle();
  histchch->GetYaxis()->SetTitle("CH data");
  histchch->GetYaxis()->CenterTitle();
  histchch->GetYaxis()->SetTitleOffset(1.4);
  histchch->GetYaxis()->CenterTitle();
  histchch->GetZaxis()->SetTitle("Number of data events");
  histchch->GetZaxis()->SetTitleOffset(1.4);
  histchch->GetZaxis()->CenterTitle();
 
  l.DrawLatex(.54,65.2,"VMM 2");

  TCanvas* can_delay = new TCanvas("can_delay","can_delay",600,500);
  can_delay->Draw();
  can_delay->cd();

  for(int i = 0; i < 5; i++)
    count_tot[i] = count_right[i]/count_tot[i];
  TGraph* gr = new TGraph(5,delays,count_tot);
  gr->SetMarkerSize(4);
  gr->SetMarkerStyle(5);
  gr->Draw("AP");

  histDelay->Divide(histDelayD);

  TCanvas* canDelay = new TCanvas("canDelay","canDelay",600,500);
  canDelay->SetTopMargin(0.05);
  canDelay->SetLeftMargin(0.12);
  canDelay->SetRightMargin(0.15);

  canDelay->Draw();
  canDelay->SetGridx();
  canDelay->SetGridy();
  
  canDelay->cd();
  histDelay->Draw("COLZ");
  
  histDelay->GetXaxis()->SetTitle("CH pulsed");
  histDelay->GetXaxis()->CenterTitle();
  histDelay->GetYaxis()->SetTitle("Delay Count");
  histDelay->GetYaxis()->CenterTitle();
  histDelay->GetYaxis()->SetTitleOffset(1.4);
  histDelay->GetYaxis()->CenterTitle();
  histDelay->GetZaxis()->SetTitle("Fraction zeroes");
  histDelay->GetZaxis()->SetTitleOffset(1.4);
  histDelay->GetZaxis()->CenterTitle();
}
Ejemplo n.º 14
0
void stdruncorr(int filenum = 0)
{


  string buffer;
  vector<string> listoffiles;
  int nlines = 0;
  ifstream infile("/net/hisrv0001/home/dav2105/corrana/makecorrhists/mcsorted.txt");

  if (!infile.is_open()) {
    cout << "Error opening file. Exiting." << endl;
    return;
  } else {
    while (!infile.eof()) {
      infile >> buffer;
      listoffiles.push_back(buffer);
      nlines++;
    }
  }

  
  cout<<"opening: "<<listoffiles[filenum].data()<<endl;
  stdcorrana(listoffiles[filenum].data());
  double leadingjetptlow[] =     {100,100,100,100,100,100,100,100,100};
  double leadingjetpthigh[] =    {120,120,120,300,300,300,300,300,300};
  double subleadingjetptlow[] =  {50 ,50 ,50 ,50 ,50 ,50 ,50 ,50 ,50 };
  double subleadingjetpthigh[] = {120,120,120,300,300,300,300,300,300};
  double ptasslow[] =            {2  ,3  ,5  ,2  ,3  ,3  ,1  ,2  ,3  };
  double ptasshigh[] =           {3  ,5  ,8  ,3  ,4  ,4  ,2  ,3  ,4  };


  int centmin[] = {0,4,12,20};
  int centmax[] = {4,12,20,40};
  
  float ajmin[] = { 0.00, 0.13, 0.24, 0.35 };
  float ajmax[] = { 0.13, 0.24, 0.35, 1.00 };
 
  
  TFile * outf = new TFile(Form("stdmcv2_%d.root",filenum),"recreate");
  
  for(int i = 0 ; i < 3 ; ++i)
  {
    cout<<"pt iteration "<<i<<endl;
    for(int cent = 0 ; cent < 4 ; ++cent)
    {
      cout<<"cent iteration "<<cent<<endl;
      for(int aj = 0 ; aj < 4 ; ++aj)
      {
        cout<<"aj iteration "<<aj<<endl;
        
        TH2D * ljtsig = JetTrackSignal    (0, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent],ajmin[aj],ajmax[aj]);
        TH2D * ljtbak = JetTrackBackground(0, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent],ajmin[aj],ajmax[aj]);
        TH2D * ljtcorr = (TH2D*)ljtsig->Clone(Form("corr_leadingjet%d_%d_ass%d_%d_cmin%d_cmax%d_ajmin%2.2f_ajmax%2.2f",(int)leadingjetptlow[i],(int)leadingjetpthigh[i],(int)ptasslow[i],(int)ptasshigh[i],centmin[cent],centmax[cent],ajmin[aj],ajmax[aj]));
        ljtcorr->Divide(ljtbak);
        ljtcorr->Scale(ljtbak->GetBinContent(ljtbak->FindBin(0,0)));
        ljtcorr->GetXaxis()->SetRange(ljtcorr->GetXaxis()->FindBin(-1.6),ljtcorr->GetXaxis()->FindBin(1.6));
        ljtcorr->GetYaxis()->SetRange(ljtcorr->GetYaxis()->FindBin(-3.1415926/2.0),ljtcorr->GetYaxis()->FindBin(3*3.1415926/2.0));
        
        TH2D * sljtsig = JetTrackSignal    (1, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent],ajmin[aj],ajmax[aj]);
        TH2D * sljtbak = JetTrackBackground(1, leadingjetptlow[i], leadingjetpthigh[i] , subleadingjetptlow[i] , subleadingjetpthigh[i] , ptasslow[i] , ptasshigh[i], centmin[cent], centmax[cent],ajmin[aj],ajmax[aj]);
        TH2D * sljtcorr = (TH2D*)sljtsig->Clone(Form("corr_subleadingjet%d_%d_ass%d_%d_cmin%d_cmax%d_ajmin%2.2f_ajmax%2.2f",(int)leadingjetptlow[i],(int)leadingjetpthigh[i],(int)ptasslow[i],(int)ptasshigh[i],centmin[cent],centmax[cent],ajmin[aj],ajmax[aj]));
        sljtcorr->Divide(sljtbak);
        sljtcorr->Scale(sljtbak->GetBinContent(sljtbak->FindBin(0,0)));
        sljtcorr->GetXaxis()->SetRange(sljtcorr->GetXaxis()->FindBin(-4.0),sljtcorr->GetXaxis()->FindBin(4.0));
        sljtcorr->GetYaxis()->SetRange(sljtcorr->GetYaxis()->FindBin(-3.1415926/2.0),sljtcorr->GetYaxis()->FindBin(3*3.1415926/2.0));
      }
    }
  }
  outf->Write();
  outf->Close();
}
Ejemplo n.º 15
0
void runcorr(int condor_iter, int trackqual)
{

  const int nptbins = 2;
  const int ncentbins = 1;
  const int najbins = 1;
  
  string buffer;
  vector<string> listoffiles;
  int nlines = 0;
  // ifstream infile("sortedforests.txt");
  // ifstream infile("doeproposalforests.txt");
  // ifstream infile("ppb_unmerged_minbias_forests.txt");
  ifstream infile("HIRun2013-PromptReco-v1-HLT_PAPixelTracks_Multiplicity190_v1-forest-v2.txt");

  if (!infile.is_open()) {
    cout << "Error opening file. Exiting." << endl;
    return;
  } else {
    while (!infile.eof()) {
      infile >> buffer;
      listoffiles.push_back(buffer);
      nlines++;
    }
  }
  bool dostdhists = (condor_iter%(nptbins * ncentbins * najbins) == 0);
  int ptbin = condor_iter % nptbins;
  int centbin = (condor_iter / nptbins) % ncentbins;
  int ajbin = (condor_iter / (nptbins * ncentbins)) % najbins;
  int filenum = (condor_iter / (nptbins * ncentbins * najbins));
  cout << "ipt: " << ptbin << " icent: " << centbin << " iaj: " << ajbin << " filenum: " << filenum << " dostdhists: " << dostdhists << " condor_iter "<<condor_iter<< endl;
 

  int nmin = 190 , nmax = 1000;
  //! for first iteration of forest production
  /*
  if(filenum==0) { nmin = 110 ; nmax = 1000; }
  if(filenum==1) { nmin = 90  ; nmax = 110 ; }
  if(filenum>1 ) { nmin = 0   ; nmax = 35  ; }
  if(filenum>9 ) { nmin = 35  ; nmax = 90  ; }
  */
  //! for second iteration of forest production
  // /*
  // if(filenum<24 ) { nmin = 90  ; nmax = 110 ; }
  // if(filenum<22 ) { nmin = 35  ; nmax = 90  ; }
  // if(filenum<12 ) { nmin = 110 ; nmax = 1000; }
  // if(filenum<10 ) { nmin = 0   ; nmax = 35  ; }
  // */
  //! for second iteration of forest production
  /*
  if(filenum<26 ) { nmin = 90  ; nmax = 110 ; }
  if(filenum<23 ) { nmin = 35  ; nmax = 90  ; }
  if(filenum<13)  { nmin = 110 ; nmax = 1000; }
  if(filenum<10)  { nmin = 0   ; nmax = 35  ; }
  */
  corrana(listoffiles[filenum].data(),trackqual);
  
  
  double pttriglow[] =  {1    ,1    ,1 ,3, 1};
  double pttrighigh[] = {3    ,3    ,3 ,4, 3};
  double ptasslow[] =   {0.25 ,2 ,0.25 ,3, 1};
  double ptasshigh[] =  {0.5  ,3    ,3 ,4, 3};
  
  
  int centmin[] = {1,0,4,8,12,16,20,24,28,32};
  int centmax[] = {1,41,8,12,16,20,24,28,32,36};
  TFile * outf = new TFile(Form("corrhists_trkhfminus_trkqaul%d_nmin%d_nmax%d_ptmin%d_ptmax%d_hfmin%d_hfmax%d_%d.root",trackqual,nmin,nmax,(int)pttriglow[ptbin],(int)pttrighigh[ptbin],(int)ptasslow[ptbin],(int)ptasshigh[ptbin],filenum),"recreate");
  
  int i = 0;
  int cent = 0;

  cout<<"cent iteration "<<cent<<endl;
  TH2D * ttsig = HFTrackSignal(pttriglow[ptbin],pttrighigh[ptbin],ptasslow[ptbin],ptasshigh[ptbin],centmin[cent],centmax[cent],nmin,nmax);
  TH2D * ttbak = HFTrackBackground(pttriglow[ptbin],pttrighigh[ptbin],ptasslow[ptbin],ptasshigh[ptbin],centmin[cent],centmax[cent],nmin,nmax);

  // TH1I * hntottrig = new TH1I(Form("nttottrig_trg%d_%d_ass%d_%d_cmin%d_cmax%d",(int)pttriglow[ptbin],(int)pttrighigh[ptbin],(int)ptasslow[ptbin],(int)ptasshigh[ptbin],centmin[cent],centmax[cent]),"",1,0.5,1.5);
  // int myntottrig = GetNTotTrig();
  // hntottrig->Fill(1,myntottrig);
  // cout<<"ntottrig: "<<myntottrig<<endl;

  TH2D * ttcorr = (TH2D*)ttsig->Clone(Form("corr_trg%d_%d_ass%d_%d_cmin%d_cmax%d",(int)pttriglow[ptbin],(int)pttrighigh[ptbin],(int)ptasslow[ptbin],(int)ptasshigh[ptbin],centmin[cent],centmax[cent]));
  ttcorr->Divide(ttbak);
  ttcorr->Scale(ttbak->GetBinContent(ttbak->FindBin(4,0)));
  ttcorr->Scale(1/0.0594998609); //! bin width
  ttcorr->GetXaxis()->SetRange(ttcorr->GetXaxis()->FindBin(1),ttcorr->GetXaxis()->FindBin(7));
  ttcorr->GetYaxis()->SetRange(ttcorr->GetYaxis()->FindBin(-3.1415926/2.0),ttcorr->GetYaxis()->FindBin(3*3.1415926/2.0));
  
  outf->Write();
  outf->Close();
}
Ejemplo n.º 16
0
//_________________________________________________________________________________________
Int_t checkPullTree(TString pathTree,  TString pathNameThetaMap, TString pathNameSigmaMap,
                    TString mapSuffix, const Int_t collType /*0: pp, 1: pPb, 2: PbPb*/, const Bool_t plotPull = kTRUE,
                    const Double_t downScaleFactor = 1,
                    TString pathNameSplinesFile = "", TString prSplinesName = "",
                    TString fileNameTree = "bhess_PIDetaTree.root", TString treeName = "fTree")
{
  const Bool_t isNonPP = collType != 0;
  const Double_t massProton = AliPID::ParticleMass(AliPID::kProton);
  
  Bool_t recalculateExpecteddEdx = pathNameSplinesFile != "";
  
  TFile* f = 0x0;
	
  f = TFile::Open(Form("%s/%s", pathTree.Data(), fileNameTree.Data()));
  if (!f)  {
    std::cout << "Failed to open tree file \"" << Form("%s/%s", pathTree.Data(), fileNameTree.Data()) << "\"!" << std::endl;
    return -1;
  }
      
  // Extract the data Tree
  TTree* tree = dynamic_cast<TTree*>(f->Get(treeName.Data()));
  if (!tree) {
    std::cout << "Failed to load data tree!" << std::endl;
    return -1;
  }
  
  // Extract the splines, if desired
  TSpline3* splPr = 0x0;
  if (recalculateExpecteddEdx) {
    std::cout << "Loading splines to recalculate expected dEdx!" << std::endl << std::endl;
    
    TFile* fSpl = TFile::Open(pathNameSplinesFile.Data());
    if (!fSpl) {
      std::cout << "Failed to open spline file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
      return 0x0;
    }
    
    TObjArray* TPCPIDResponse = (TObjArray*)fSpl->Get("TPCPIDResponse");
    if (!TPCPIDResponse) {
      splPr = (TSpline3*)fSpl->Get(prSplinesName.Data());
      
      // If splines are in file directly, without TPCPIDResponse object, try to load them
      if (!splPr) {
        std::cout << "Failed to load object array from spline file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
        return 0x0;
      }
    }
    else {
      splPr = (TSpline3*)TPCPIDResponse->FindObject(prSplinesName.Data());
      
      if (!splPr) {
        std::cout << "Failed to load splines from file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
        return 0x0;
      }
    }
  }
  else
    std::cout << "Taking dEdxExpected from Tree..." << std::endl << std::endl;

  // Extract the correction maps
  TFile* fMap = TFile::Open(pathNameThetaMap.Data());
  if (!fMap)  {
    std::cout << "Failed to open thetaMap file \"" << pathNameThetaMap.Data() << "\"! Will not additionally correct data...." << std::endl;
  }

  TH2D* hMap = 0x0;
  
  if (fMap) {
    hMap = dynamic_cast<TH2D*>(fMap->Get(Form("hRefined%s", mapSuffix.Data())));
    if (!hMap) {
      std::cout << "Failed to load theta map!" << std::endl;
      return -1;
    }
  }

  TFile* fSigmaMap = TFile::Open(pathNameSigmaMap.Data());
  if (!fSigmaMap)  {
    std::cout << "Failed to open simgaMap file \"" << pathNameSigmaMap.Data() << "\"!" << std::endl;
    return -1;
  }

  TH2D* hThetaMapSigmaPar1 = dynamic_cast<TH2D*>(fSigmaMap->Get("hThetaMapSigmaPar1"));
  if (!hThetaMapSigmaPar1) {
    std::cout << "Failed to load sigma map for par 1!" << std::endl;
    return -1;
  }

  Double_t c0 = -1;
  TNamed* c0Info = dynamic_cast<TNamed*>(fSigmaMap->Get("c0"));
  if (!c0Info) {
    std::cout << "Failed to extract c0 from file with sigma map!" << std::endl;
    return -1;
  }

  TString c0String = c0Info->GetTitle();
  c0 = c0String.Atof();
  printf("Loaded parameter 0 for sigma: %f\n\n", c0);

  if (plotPull)
    std::cout << "Plotting pull..." << std::endl << std::endl;
  else
    std::cout << "Plotting delta'..." << std::endl << std::endl;

  Long64_t nTreeEntries = tree->GetEntriesFast();

  Double_t dEdx = 0.; // Measured dE/dx
  Double_t dEdxExpected = 0.; // Expected dE/dx according to parametrisation
  Double_t tanTheta = 0.; // Tangens of (local) theta at TPC inner wall
  Double_t pTPC = 0.; // Momentum at TPC inner wall
  UShort_t tpcSignalN = 0; // Number of clusters used for dEdx
  UChar_t  pidType = 0;
  Int_t    fMultiplicity = 0;
  //Double_t phiPrime = 0;

  // Only activate the branches of interest to save processing time
  tree->SetBranchStatus("*", 0); // Disable all branches
  tree->SetBranchStatus("pTPC", 1);
  tree->SetBranchStatus("dEdx", 1);
  tree->SetBranchStatus("dEdxExpected", 1);
  tree->SetBranchStatus("tanTheta", 1);
  tree->SetBranchStatus("tpcSignalN", 1);
  tree->SetBranchStatus("pidType", 1);
  //tree->SetBranchStatus("phiPrime", 1);
  if (isNonPP)
    tree->SetBranchStatus("fMultiplicity", 1);

  
  tree->SetBranchAddress("dEdx", &dEdx);
  tree->SetBranchAddress("dEdxExpected", &dEdxExpected);
  tree->SetBranchAddress("tanTheta", &tanTheta);
  tree->SetBranchAddress("tpcSignalN", &tpcSignalN);
  tree->SetBranchAddress("pTPC", &pTPC);
  tree->SetBranchAddress("pidType", &pidType);
  //tree->SetBranchAddress("phiPrime", &phiPrime);
  if (isNonPP)
    tree->SetBranchAddress("fMultiplicity", &fMultiplicity);

  
  // Output file
  TDatime daTime;
  TString savefileName = Form("%s%s_checkPullSigma_%04d_%02d_%02d__%02d_%02d.root", fileNameTree.ReplaceAll(".root", "").Data(),
                              recalculateExpecteddEdx ? "_recalcdEdx" : "",
                              daTime.GetYear(), daTime.GetMonth(), daTime.GetDay(), daTime.GetHour(), daTime.GetMinute());

  TFile* fSave = TFile::Open(Form("%s/%s", pathTree.Data(), savefileName.Data()), "recreate");
  if (!fSave) {
    std::cout << "Failed to open save file \"" << Form("%s/%s", pathTree.Data(), savefileName.Data()) << "\"!" << std::endl;
    return -1;
  }
  
  const Double_t pBoundLow = 0.1;
  const Double_t pBoundUp = 5;

  const Int_t nBins1 = TMath::Ceil(180 / downScaleFactor);
  const Int_t nBins2 = TMath::Ceil(100 / downScaleFactor);
  const Int_t nBins3 = TMath::Ceil(60 / downScaleFactor);
  
  const Int_t nPbinsForMap = nBins1 + nBins2 + nBins3;
  Double_t binsPforMap[nPbinsForMap + 1];
  
  Double_t binWidth1 = (1.0 - pBoundLow) / nBins1;
  Double_t binWidth2 = (2.0 - 1.0 ) / nBins2;
  Double_t binWidth3 = (pBoundUp - 2.0) / nBins3;
  
  for (Int_t i = 0; i < nBins1; i++)  {
    binsPforMap[i] = pBoundLow + i * binWidth1;
  }
  for (Int_t i = nBins1, j = 0; i < nBins1 + nBins2; i++, j++)  {
    binsPforMap[i] = 1.0 + j * binWidth2;
  }
  for (Int_t i = nBins1 + nBins2, j = 0; i < nBins1 + nBins2 + nBins3; i++, j++)  {
    binsPforMap[i] = 2.0 + j * binWidth3;
  }
  binsPforMap[nPbinsForMap] = pBoundUp;

  TH2D* hPull = new TH2D("hPull", "Pull vs. p_{TPC} integrated over tan(#Theta);p_{TPC} (GeV/c);Pull", nPbinsForMap, binsPforMap, 
                         plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
  TH2D* hPullAdditionalCorr = (TH2D*)hPull->Clone("hPullAdditionalCorr");
  hPullAdditionalCorr->SetTitle("Pull vs. p_{TPC} integrated over tan(#Theta) with additional dEdx correction w.r.t. tan(#Theta)");
  /*
  const Int_t nThetaHistos = 3;
  TH2D* hPullTheta[nThetaHistos];
  TH2D* hPullAdditionalCorrTheta[nThetaHistos];
  Double_t tThetaLow[nThetaHistos] = { 0.0, 0.4, 0.9 };
  Double_t tThetaHigh[nThetaHistos] = { 0.1, 0.5, 1.0 };
  */
  const Int_t nThetaHistos = 10;
  TH2D* hPullTheta[nThetaHistos];
  TH2D* hPullAdditionalCorrTheta[nThetaHistos];
  Double_t tThetaLow[nThetaHistos] = { 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 };
  Double_t tThetaHigh[nThetaHistos] = { 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0 };
  

  for (Int_t i = 0; i < nThetaHistos; i++)    {
    hPullTheta[i] = new TH2D(Form("hPullTheta_%d", i),
                             Form("Pull vs. p_{TPC} for %.2f <= |tan(#Theta)| < %.2f;p_{TPC} (GeV/c);Pull", tThetaLow[i], tThetaHigh[i]),
                             nPbinsForMap, binsPforMap, plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);

    hPullAdditionalCorrTheta[i] =
      new TH2D(Form("hPullAdditionalCorrTheta_%d", i),
               Form("Pull vs. p_{TPC} for %.2f <= |tan(#Theta)| < %.2f with additional dEdx correction w.r.t. tan(#Theta);p_{TPC} (GeV/c);Pull",
                    tThetaLow[i], tThetaHigh[i]),
               nPbinsForMap, binsPforMap, plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
  }

  
  
  
  
  
  TF1 corrFuncMult("corrFuncMult", "[0] + [1]*TMath::Max([4], TMath::Min(x, [3])) + [2] * TMath::Power(TMath::Max([4], TMath::Min(x, [3])), 2)",
                   0., 0.2);
  TF1 corrFuncMultTanTheta("corrFuncMultTanTheta", "[0] * (x -[2]) + [1] * (x * x - [2] * [2])", -1.5, 1.5);
  TF1 corrFuncSigmaMult("corrFuncSigmaMul", "TMath::Max(0, [0] + [1]*TMath::Min(x, [3]) + [2] * TMath::Power(TMath::Min(x, [3]), 2))", 0., 0.2);
  
  
  // LHC13b.pass2
  if (isNonPP)
    printf("Using corr Parameters for 13b.pass2\n!");
  
  corrFuncMult.SetParameter(0, -5.906e-06);
  corrFuncMult.SetParameter(1, -5.064e-04);
  corrFuncMult.SetParameter(2, -3.521e-02);
  corrFuncMult.SetParameter(3,  2.469e-02);
  corrFuncMult.SetParameter(4, 0);
  
  corrFuncMultTanTheta.SetParameter(0, -5.32e-06);
  corrFuncMultTanTheta.SetParameter(1,  1.177e-05);
  corrFuncMultTanTheta.SetParameter(2, -0.5);
  
  corrFuncSigmaMult.SetParameter(0, 0.);
  corrFuncSigmaMult.SetParameter(1, 0.);
  corrFuncSigmaMult.SetParameter(2, 0.);
  corrFuncSigmaMult.SetParameter(3, 0.);
  
  
  /* OK, but PID task was not very satisfying
  corrFuncMult.SetParameter(0, -6.27187e-06);
  corrFuncMult.SetParameter(1, -4.60649e-04);
  corrFuncMult.SetParameter(2, -4.26450e-02);
  corrFuncMult.SetParameter(3, 2.40590e-02);
  corrFuncMult.SetParameter(4, 0);
  
  corrFuncMultTanTheta.SetParameter(0, -5.338e-06);
  corrFuncMultTanTheta.SetParameter(1,  1.220e-05);
  corrFuncMultTanTheta.SetParameter(2, -0.5);
  
  corrFuncSigmaMult.SetParameter(0, 7.89237e-05);
  corrFuncSigmaMult.SetParameter(1, -1.30662e-02);
  corrFuncSigmaMult.SetParameter(2, 8.91548e-01);
  corrFuncSigmaMult.SetParameter(3, 1.47931e-02);
  */
  
  
  /*
  // LHC11a10a
  if (isNonPP)
    printf("Using corr Parameters for 11a10a\n!");
  
  corrFuncMult.SetParameter(0, 6.90133e-06);
  corrFuncMult.SetParameter(1, -1.22123e-03);
  corrFuncMult.SetParameter(2, 1.80220e-02);
  corrFuncMult.SetParameter(3, 0.1);
  corrFuncMult.SetParameter(4, 6.45306e-03);
  
  corrFuncMultTanTheta.SetParameter(0, -2.85505e-07);
  corrFuncMultTanTheta.SetParameter(1, -1.31911e-06);
  corrFuncMultTanTheta.SetParameter(2, -0.5);
  
  corrFuncSigmaMult.SetParameter(0, -4.29665e-05);
  corrFuncSigmaMult.SetParameter(1, 1.37023e-02);
  corrFuncSigmaMult.SetParameter(2, -6.36337e-01);
  corrFuncSigmaMult.SetParameter(3, 1.13479e-02);
  */
  
  /* OLD without saturation and large error for negative slopes
  corrFuncSigmaMult.SetParameter(0, -4.79684e-05);
  corrFuncSigmaMult.SetParameter(1, 1.49938e-02);
  corrFuncSigmaMult.SetParameter(2, -7.15269e-01);
  corrFuncSigmaMult.SetParameter(3, 1.06855e-02);
  */
  
  /* OLD very good try, but with fewer pBins for the fitting
  corrFuncMult.SetParameter(0, 6.88365e-06);
  corrFuncMult.SetParameter(1, -1.22324e-03);
  corrFuncMult.SetParameter(2, 1.81625e-02);
  corrFuncMult.SetParameter(3, 0.1);
  corrFuncMult.SetParameter(4, 6.36890e-03);
  
  corrFuncMultTanTheta.SetParameter(0, -2.85505e-07);
  corrFuncMultTanTheta.SetParameter(1, -1.31911e-06);
  corrFuncMultTanTheta.SetParameter(2, -0.5);
  
  corrFuncSigmaMult.SetParameter(0, -4.28401e-05);
  corrFuncSigmaMult.SetParameter(1, 1.24812e-02);
  corrFuncSigmaMult.SetParameter(2, -5.28531e-01);
  corrFuncSigmaMult.SetParameter(3, 1.25147e-02);
  */
  /*OLD good try
  corrFuncMult.SetParameter(0, 7.50321e-06);
  corrFuncMult.SetParameter(1, -1.25250e-03);
  corrFuncMult.SetParameter(2, 1.85437e-02);
  corrFuncMult.SetParameter(3, 0.1);
  corrFuncMult.SetParameter(4, 6.21192e-03);
  
  corrFuncMultTanTheta.SetParameter(0, -1.43112e-07);
  corrFuncMultTanTheta.SetParameter(1, -1.53e-06);
  corrFuncMultTanTheta.SetParameter(2, 0.3);
  
  corrFuncSigmaMult.SetParameter(0, -2.54019e-05);
  corrFuncSigmaMult.SetParameter(1, 8.68883e-03);
  corrFuncSigmaMult.SetParameter(2, -3.36176e-01);
  corrFuncSigmaMult.SetParameter(3, 1.29230e-02);
  */
  
  /*
  // LHC10h.pass2
  if (isNonPP)
    printf("Using corr Parameters for 10h.pass2\n!");
  
  corrFuncMult.SetParameter(0, 3.21636e-07);
  corrFuncMult.SetParameter(1, -6.65876e-04);
  corrFuncMult.SetParameter(2, 1.28786e-03);
  corrFuncMult.SetParameter(3, 1.47677e-02);
  corrFuncMult.SetParameter(4, 0.);
  
  corrFuncMultTanTheta.SetParameter(0, 7.23591e-08);
  corrFuncMultTanTheta.SetParameter(1, 2.7469e-06);
  corrFuncMultTanTheta.SetParameter(2, -0.5);
  
  corrFuncSigmaMult.SetParameter(0, -1.22590e-05);
  corrFuncSigmaMult.SetParameter(1, 6.88888e-03);
  corrFuncSigmaMult.SetParameter(2, -3.20788e-01);
  corrFuncSigmaMult.SetParameter(3, 1.07345e-02);
  */
  
  /*OLD bad try
  corrFuncMult.SetParameter(0, 2.71514e-07);
  corrFuncMult.SetParameter(1, -6.92031e-04);
  corrFuncMult.SetParameter(2, 3.56042e-03);
  corrFuncMult.SetParameter(3, 1.47497e-02);
  corrFuncMult.SetParameter(4, 0.);
  
  corrFuncMultTanTheta.SetParameter(0, 8.53204e-08);
  corrFuncMultTanTheta.SetParameter(1, 2.85591e-06);
  corrFuncMultTanTheta.SetParameter(2, -0.5);
  
  corrFuncSigmaMult.SetParameter(0, -6.82477e-06);
  corrFuncSigmaMult.SetParameter(1, 4.97051e-03);
  corrFuncSigmaMult.SetParameter(2, -1.64954e-01);
  corrFuncSigmaMult.SetParameter(3, 9.21061e-03);
  */
  

  //TODO NOW
  TF1* fShapeSmallP = new TF1("fShapeSmallP", "pol5", -0.4, 0.4);
  fShapeSmallP->SetParameters(1.01712, -0.0202725, -0.260692, 0.261623, 0.671854, -1.14014);
    
  for (Long64_t i = 0; i < nTreeEntries; i++) {
    tree->GetEntry(i);

    if (dEdx <= 0 || dEdxExpected <= 0 || tpcSignalN <= 10)
      continue;
    /*
    Double_t pT = pTPC*TMath::Sin(-TMath::ATan(tanTheta)+TMath::Pi()/2.0);
    if ((phiPrime > 0.072/pT+TMath::Pi()/18.0-0.035 && phiPrime < 0.07/pT/pT+0.1/pT+TMath::Pi()/18.0+0.035)) 
      continue;
    */
      
    if (pidType != kMCid) {
      if (pidType == kTPCid && pTPC > 0.6)
        continue;
      if (pidType == kTPCandTOFid && (pTPC < 0.6 || pTPC > 2.0))
        continue;
      if ((collType == 2) && pidType == kTPCandTOFid && pTPC > 1.0)
        continue;// Only V0's in case of PbPb above 1.0 GeV/c
      if (pidType == kV0idPlusTOFrejected) //TODO NOW NEW
        continue;
    }
    
    if (recalculateExpecteddEdx) {
      dEdxExpected = 50. * splPr->Eval(pTPC / massProton); //WARNING: What, if MIP is different from 50.? Seems not to be used (tested for pp, MC_pp, PbPb and MC_PbPb), but can in principle happen
    }
      
    //TODO NOW
    /*
    if (TMath::Abs(tanTheta) <= 0.4) {
      Double_t p0 = fShapeSmallP->Eval(tanTheta) - 1.0; // Strength of the correction
      Double_t p1 = -9.0; // How fast the correction is turned off
      Double_t p2 = -0.209; // Turn off correction around 0.2 GeV/c
      Double_t p3 = 1.0; // Delta' for large p should be 1

      Double_t corrFactor = TMath::Erf((pTPC + p2) * p1) * p0 + p3 + p0; // Add p0 to have 1 for p3 = 1 and large pTPC
      dEdxExpected *= corrFactor;
    }*/
    
     /*TODO old unsuccessful try 
    Double_t thetaGlobalTPC = -TMath::ATan(tanTheta) + TMath::Pi() / 2.;
    Double_t pTtpc = pTPC * TMath::Sin(thetaGlobalTPC);
    Double_t pTtpcInv = (pTtpc > 0) ? 1. / pTtpc : 0;
    Double_t p0 = 1.0;
    Double_t p1 = 1./ 0.5;//TODO 2.0;
    Double_t p2 = -0.2;//TODO 0.1
    Double_t pTcorrFactor = p0 + (pTtpcInv > p1) * p2 * (pTtpcInv - p1);
    
    dEdxExpected *= pTcorrFactor;
    */
    
      
    // From the momentum (via dEdxExpected) and the tanTheta of the track, the expected dEdx can be calculated (correctedDeDxExpected).
    // If the splines are correct, this should give in average the same value as dEdx. 
    // Now valid: Maps created from corrected data with splines adopted to corrected data, so lookup should be for dEdxExpected=dEdxSplines (no further
    // eta correction) or the corrected dEdx from the track (which should ideally be = dEdxSplines)
    
    // Tested with corrected data for LHC10d.pass2: using dEdx for the lookup (which is the corrected value and should ideally be = dEdxSplines):
    // Results almost the same. Maybe slightly better for dEdxExpected.
    
    // No longer valid: Note that the maps take always the uncorrected dEdx w.r.t.
    // tanTheta, so that correctedDeDxExpected is needed here normally. However, the information for the correction will be lost at some point.
    // Therefore, dEdxExpected can be used instead and should provide a good approximation.
    Double_t c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
    
    Double_t expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
    Double_t pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);

    // Fill pull histo
    hPull->Fill(pTPC, pull);

    Double_t tanThetaAbs = TMath::Abs(tanTheta);
    
    for (Int_t j = 0; j < nThetaHistos; j++)    {
      if (tanThetaAbs  >= tThetaLow[j] && tanThetaAbs < tThetaHigh[j])  {
        hPullTheta[j]->Fill(pTPC, pull);
      }
    }

    if (!hMap)
      continue;

    Double_t correctionFactor = 1.;
    
    if (isNonPP) {
      // 1. Correct eta dependence
      correctionFactor = hMap->GetBinContent(getBinX(hMap, tanTheta), getBinY(hMap, 1./dEdxExpected));
      
      // 2. Correct for multiplicity dependence:
      Double_t multCorrectionFactor = 1.;
      
      if (fMultiplicity > 0) {
        Double_t relSlope = corrFuncMult.Eval(1. / (dEdxExpected * correctionFactor));
        relSlope += corrFuncMultTanTheta.Eval(tanTheta);

        multCorrectionFactor = 1. + relSlope * fMultiplicity;
      }

      c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
      
      // Multiplicity dependence of sigma depends on the real dEdx at zero multiplicity, i.e. the eta (only) corrected dEdxExpected value has to be used
      // since all maps etc. have been created for ~zero multiplicity
      Double_t relSigmaSlope = corrFuncSigmaMult.Eval(1. / (dEdxExpected * correctionFactor));
      Double_t multSigmaCorrectionFactor = 1. + relSigmaSlope * fMultiplicity;
      
      dEdxExpected *= correctionFactor * multCorrectionFactor; 
      
      expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
      expectedSigma *= multSigmaCorrectionFactor;
      
      pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
    }
    else {
      correctionFactor = hMap->GetBinContent(getBinX(hMap, tanTheta), getBinY(hMap, 1./dEdxExpected));
      
      c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
   
      dEdxExpected *= correctionFactor; // If data is not corrected, but the sigma map is for corrected data, re-do analysis with corrected dEdx
      
      expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
      pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
    }

    pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);

    hPullAdditionalCorr->Fill(pTPC, pull);

    for (Int_t j = 0; j < nThetaHistos; j++)    {
      if (tanThetaAbs  >= tThetaLow[j] && tanThetaAbs < tThetaHigh[j])  {
        hPullAdditionalCorrTheta[j]->Fill(pTPC, pull);
      }
    }
  }
/*
  // Mean, Sigma, chi^2/NDF of pull of different theta bins and all in one plot
  TCanvas* canvPullMean = new TCanvas("canvPullMean", "canvPullMean", 100,10,1380,800);
  canvPullMean->SetLogx(kTRUE);
  canvPullMean->SetGridx(kTRUE);
  canvPullMean->SetGridy(kTRUE);
  TCanvas* canvPullSigma = new TCanvas("canvPullSigma", "canvPullSigma", 100,10,1380,800);
  canvPullSigma->SetLogx(kTRUE);
  canvPullSigma->SetGridx(kTRUE);
  canvPullSigma->SetGridy(kTRUE);
  TCanvas* canvPullChi2 = new TCanvas("canvPullChi2", "canvPullChi2", 100,10,1380,800);
  canvPullChi2->SetLogx(kTRUE);
  canvPullChi2->SetGridx(kTRUE);
  canvPullChi2->SetGridy(kTRUE);
  

  TCanvas* canvPull[nThetaHistos + 1];
  for (Int_t i = 0, j = nThetaHistos; i < nThetaHistos + 1; i++, j--)  {
    canvPull[i] = new TCanvas(Form("canvPull_%d", i), "canvPull", 100,10,1380,800);
    canvPull[i]->cd();
    canvPull[i]->SetLogx(kTRUE);
    canvPull[i]->SetLogz(kTRUE);
    canvPull[i]->SetGrid(kTRUE, kTRUE);

    TH2D* hTemp = 0x0;
    TString thetaString = "";
    if (i == nThetaHistos)  {
      hTemp = hPull;
      thetaString = "tan(#Theta) integrated";
    }
    else {
      hTemp = hPullTheta[i];
      thetaString = Form("%.2f #leq |tan(#Theta)| < %.2f", tThetaLow[i], tThetaHigh[i]);
    }
    
    normaliseHisto(hTemp);
    hTemp->FitSlicesY();
    hTemp->GetYaxis()->SetNdivisions(12);
    hTemp->GetXaxis()->SetMoreLogLabels(kTRUE);
    TH1D* hTempMean = (TH1D*)gDirectory->Get(Form("%s_1", hTemp->GetName()));
    hTempMean->SetTitle(Form("mean(pull), %s", thetaString.Data()));
    hTempMean->GetXaxis()->SetMoreLogLabels(kTRUE);
    hTempMean->SetLineWidth(2);
    hTempMean->SetMarkerStyle(20);
    TH1D* hTempSigma = (TH1D*)gDirectory->Get(Form("%s_2", hTemp->GetName()));
    hTempSigma->SetTitle(Form("#sigma(pull), %s", thetaString.Data()));
    hTempSigma->GetXaxis()->SetMoreLogLabels(kTRUE);
    hTempSigma->SetLineColor(kMagenta);
    hTempSigma->SetMarkerStyle(20);
    hTempSigma->SetMarkerColor(kMagenta);
    hTempSigma->SetLineWidth(2);
    TH1D* hTempChi2 = (TH1D*)gDirectory->Get(Form("%s_chi2", hTemp->GetName()));
    hTempChi2->SetTitle(Form("#chi^{2} / NDF (pull), %s", thetaString.Data()));
    hTempChi2->GetXaxis()->SetMoreLogLabels(kTRUE);
    hTempChi2->SetLineColor(kMagenta + 2);
    hTempChi2->SetMarkerStyle(20);
    hTempChi2->SetMarkerColor(kMagenta + 2);
    hTempChi2->SetLineWidth(2);

    hTemp->DrawCopy("colz");
    hTempMean->DrawCopy("same");
    hTempSigma->DrawCopy("same");
    hTempChi2->Scale(-1./10.);
    hTempChi2->DrawCopy("same");
    hTempChi2->Scale(-10.);

    canvPullMean->cd();
    hTempMean->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
    hTempMean->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
    hTempMean->DrawCopy((i == 0 ? "" : "same"));

    canvPullSigma->cd();
    hTempSigma->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
    hTempSigma->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
    hTempSigma->DrawCopy((i == 0 ? "" : "same"));

    canvPullChi2->cd();
    hTempChi2->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
    hTempChi2->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
    hTempChi2->DrawCopy((i == 0 ? "" : "same"));
  }

  canvPullMean->BuildLegend();
  canvPullSigma->BuildLegend();
  canvPullChi2->BuildLegend();
*/
  // Histograms with additional correction
  TCanvas* canvPullMeanCorr = 0x0;
  TCanvas* canvPullSigmaCorr = 0x0;
  TCanvas* canvPullChi2Corr = 0x0;
  TCanvas* canvPullCorr[nThetaHistos + 1];
  for (Int_t i = 0; i < nThetaHistos + 1; i++) 
    canvPullCorr[i] = 0x0;
  
  if (hMap) {
    // Mean, Sigma, chi^2/NDF of pull of different theta bins and all in one plot
    canvPullMeanCorr = new TCanvas("canvPullMeanCorr", "canvPullMeanCorr", 100,10,1380,800);
    canvPullMeanCorr->SetLogx(kTRUE);
    canvPullMeanCorr->SetGridx(kTRUE);
    canvPullMeanCorr->SetGridy(kTRUE);
    canvPullSigmaCorr = new TCanvas("canvPullSigmaCorr", "canvPullSigmaCorr", 100,10,1380,800);
    canvPullSigmaCorr->SetLogx(kTRUE);
    canvPullSigmaCorr->SetGridx(kTRUE);
    canvPullSigmaCorr->SetGridy(kTRUE);
    canvPullChi2Corr = new TCanvas("canvPullChi2Corr", "canvPullChi2Corr", 100,10,1380,800);
    canvPullChi2Corr->SetLogx(kTRUE);
    canvPullChi2Corr->SetGridx(kTRUE);
    canvPullChi2Corr->SetGridy(kTRUE);
    
    for (Int_t i = 0, j = nThetaHistos; i < nThetaHistos + 1; i++, j--)  {
      canvPullCorr[i] = new TCanvas(Form("canvPullCorr_%d", i), "canvPullCorr", 100,10,1380,800);
      canvPullCorr[i]->cd();
      canvPullCorr[i]->SetLogx(kTRUE);
      canvPullCorr[i]->SetLogz(kTRUE);
      canvPullCorr[i]->SetGrid(kTRUE, kTRUE);

      TH2D* hTemp = 0x0;
      TString thetaString = "";
      
      if (i == nThetaHistos)  {
        hTemp = hPullAdditionalCorr;
        thetaString = "tan(#Theta) integrated";
      }
      else    {
        hTemp = hPullAdditionalCorrTheta[i];
        thetaString = Form("%.2f #leq |tan(#Theta)| < %.2f", tThetaLow[i], tThetaHigh[i]);
      }

      normaliseHisto(hTemp);
      hTemp->FitSlicesY();
      hTemp->GetYaxis()->SetNdivisions(12);
      hTemp->GetXaxis()->SetMoreLogLabels(kTRUE);
      TH1D* hTempMean = (TH1D*)gDirectory->Get(Form("%s_1", hTemp->GetName()));
      hTempMean->SetTitle(Form("mean(pull), %s", thetaString.Data()));
      hTempMean->GetXaxis()->SetMoreLogLabels(kTRUE);
      hTempMean->SetLineWidth(2);
      hTempMean->SetMarkerStyle(20);
      TH1D* hTempSigma = (TH1D*)gDirectory->Get(Form("%s_2", hTemp->GetName()));
      hTempSigma->SetTitle(Form("#sigma(pull), %s", thetaString.Data()));
      hTempSigma->GetXaxis()->SetMoreLogLabels(kTRUE);
      hTempSigma->SetLineColor(kMagenta);
      hTempSigma->SetMarkerStyle(20);
      hTempSigma->SetMarkerColor(kMagenta);
      hTempSigma->SetLineWidth(2);
      TH1D* hTempChi2 = (TH1D*)gDirectory->Get(Form("%s_chi2", hTemp->GetName()));
      hTempChi2->SetTitle(Form("#chi^{2} / NDF (pull), %s", thetaString.Data()));
      hTempChi2->GetXaxis()->SetMoreLogLabels(kTRUE);
      hTempChi2->SetLineColor(kMagenta + 2);
      hTempChi2->SetMarkerStyle(20);
      hTempChi2->SetMarkerColor(kMagenta + 2);
      hTempChi2->SetLineWidth(2);

      hTemp->DrawCopy("colz");
      hTempMean->DrawCopy("same");
      hTempSigma->DrawCopy("same");
      hTempChi2->Scale(-1./10.);
      hTempChi2->DrawCopy("same");
      hTempChi2->Scale(-10.);
  
      canvPullMeanCorr->cd();
      hTempMean->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
      hTempMean->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
      hTempMean->DrawCopy((i == 0 ? "" : "same"));
      
      canvPullSigmaCorr->cd();
      hTempSigma->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
      hTempSigma->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
      hTempSigma->DrawCopy((i == 0 ? "" : "same"));
      
      canvPullChi2Corr->cd();
      hTempChi2->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
      hTempChi2->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
      hTempChi2->DrawCopy((i == 0 ? "" : "same"));
    }
    
    canvPullMeanCorr->BuildLegend();
    canvPullSigmaCorr->BuildLegend();
    canvPullChi2Corr->BuildLegend();
  }
  
  
  
  
  
  fSave->cd();
  /*canvPullMean->Write();
  canvPullSigma->Write();
  canvPullChi2->Write();
  
  for (Int_t  i = 0; i < nThetaHistos + 1; i++) {
    canvPull[i]->Write();
  }*/
  
  canvPullMeanCorr->Write();
  canvPullSigmaCorr->Write();
  canvPullChi2Corr->Write();
  
  for (Int_t  i = 0; i < nThetaHistos + 1; i++) {
    canvPullCorr[i]->Write();
  }

  TNamed* info = new TNamed(Form("Theta map: %s\n\nSigma map: %s\n\nSplines file: %s\n\nSplines name: %s", pathNameThetaMap.Data(), 
                                 pathNameSigmaMap.Data(), pathNameSplinesFile.Data(), prSplinesName.Data()),
                            "info");
  info->Write();
  fSave->Close();
  
  return 0;
}
Ejemplo n.º 17
0
void runcorr(int condor_iter, int trackqual, string flist = "", string tag = "", int nmin = 220, int nmax = 1000, float pttrigmin = 1, float pttrigmax = 2, float ptassmin = 1, float ptassmax = 1)
{

  const int nptbins = 1;
  const int ncentbins = 1;
  const int najbins = 1;
  
  string buffer;
  vector<string> listoffiles;
  int nlines = 0;
  // ifstream infile("sortedforests.txt");
  // ifstream infile("doeproposalforests.txt");
  // ifstream infile("PA2013_PromptReco_Json_FullTrack12_v84_prod2.txt");
  // ifstream infile("PA2013_PromptReco_Json_FullTrack12_v84_prod2_MIT.txt");
  // ifstream infile("HIMinBiasUPC_PbPbUPC_pptracking_452p1_forest_v2.txt");
  ifstream infile(flist.data());
  if (!infile.is_open()) {
    cout << "Error opening file. Exiting." << endl;
    return;
  } else {
    while (!infile.eof()) {
      infile >> buffer;
      listoffiles.push_back(buffer);
      nlines++;
    }
  }
  bool dostdhists = (condor_iter%(nptbins * ncentbins * najbins) == 0);
  int ptbin = condor_iter % nptbins;
  int centbin = (condor_iter / nptbins) % ncentbins;
  int ajbin = (condor_iter / (nptbins * ncentbins)) % najbins;
  int filenum = (condor_iter / (nptbins * ncentbins * najbins));
  cout << "ipt: " << ptbin << " icent: " << centbin << " iaj: " << ajbin << " filenum: " << filenum << " dostdhists: " << dostdhists << endl;
 
  // int nmin = 220 , nmax = 1000, one = 1;
  //! for first iteration of forest production
  /*
  if(filenum==0) { nmin = 110 ; nmax = 1000; }
  if(filenum==1) { nmin = 90  ; nmax = 110 ; }
  if(filenum>1 ) { nmin = 0   ; nmax = 35  ; }
  if(filenum>9 ) { nmin = 35  ; nmax = 90  ; }
  */
  //! for second iteration of forest production
  // /*
  // if(filenum<24 ) { nmin = 90  ; nmax = 110 ; }
  // if(filenum<22 ) { nmin = 35  ; nmax = 90  ; }
  // if(filenum<12 ) { nmin = 110 ; nmax = 1000; }
  // if(filenum<10 ) { nmin = 0   ; nmax = 35  ; }
  // */
  //! for second iteration of forest production
  /*
  if(filenum<26 ) { nmin = 90  ; nmax = 110 ; }
  if(filenum<23 ) { nmin = 35  ; nmax = 90  ; }
  if(filenum<13)  { nmin = 110 ; nmax = 1000; }
  if(filenum<10)  { nmin = 0   ; nmax = 35  ; }
  */
  corrana(listoffiles[filenum].data(),trackqual);
  
  
  // double pttriglow[] =  {1   ,14 ,16 ,20, 1};
  // double pttrighigh[] = {2   ,16 ,20 ,24, 3};
  // double ptasslow[] =   {1   ,1  ,1  ,1 , 1};
  // double ptasshigh[] =  {2   ,2  ,2  ,2 , 3};
  
  
  int centmin[] = {0,4,8,12,16,20,24,28,32};
  int centmax[] = {41,8,12,16,20,24,28,32,36};
  // TFile * outf = new TFile(Form("%s_trkqaul%d_nmin%d_nmax%d_tptmin%d_tptmax%d_aptmin%d_aptmax%d_%d.root",tag.data(),trackqual,nmin,nmax,(int)pttrigmin/one,(int)pttrigmax/one,(int)ptassmin/one,(int)ptassmax/one,filenum),"recreate");
  cout<<Form("%s_trkqaul%d_nmin%d_nmax%d_tptmin%d_tptmax%d_aptmin%d_aptmax%d_%d.root",tag.data(),trackqual,nmin,nmax,(int)pttrigmin,(int)pttrigmax,(int)ptassmin,(int)ptassmax,filenum)<<endl;
  TFile * outf = new TFile(Form("%s_trkqaul%d_nmin%d_nmax%d_tptmin%d_tptmax%d_aptmin%d_aptmax%d_%d.root",tag.data(),trackqual,nmin,nmax,(int)pttrigmin,(int)pttrigmax,(int)ptassmin,(int)ptassmax,filenum),"recreate");
  
  // int i = 0;
  int cent = 0;

  cout<<"cent iteration "<<cent<<endl;
  TH2D * ttsig = TrackTrackSignal(pttrigmin,pttrigmax,ptassmin,ptassmax,centmin[cent],centmax[cent],nmin,nmax);
  TH2D * ttbak = TrackTrackBackground(pttrigmin,pttrigmax,ptassmin,ptassmax,centmin[cent],centmax[cent],nmin,nmax);

  TH1I * hntottrig = new TH1I(Form("nttottrig_trg%d_%d_ass%d_%d_cmin%d_cmax%d",(int)pttrigmin,(int)pttrigmax,(int)ptassmin,(int)ptassmax,centmin[cent],centmax[cent]),"",1,0.5,1.5);
  int myntottrig = GetNTotTrig();
  hntottrig->Fill(1,myntottrig);
  cout<<"ntottrig: "<<myntottrig<<endl;

  TH2D * ttcorr = (TH2D*)ttsig->Clone(Form("corr_trg%d_%d_ass%d_%d_cmin%d_cmax%d",(int)pttrigmin,(int)pttrigmax,(int)ptassmin,(int)ptassmax,centmin[cent],centmax[cent]));
  ttcorr->Divide(ttbak);
  ttcorr->Scale(ttbak->GetBinContent(ttbak->FindBin(0,0)));
  ttcorr->Scale(1/0.0594998609); //! bin width
  ttcorr->GetXaxis()->SetRange(ttcorr->GetXaxis()->FindBin(-4.0),ttcorr->GetXaxis()->FindBin(4.0));
  ttcorr->GetYaxis()->SetRange(ttcorr->GetYaxis()->FindBin(-3.1415926/2.0),ttcorr->GetYaxis()->FindBin(3*3.1415926/2.0));
  
  outf->Write();
  outf->Close();
}
Ejemplo n.º 18
0
void sysError(
    TString inFileName="jfh_HCPR_J50U_Cent30to100_Aj0to100_SubEtaRefl.root",
    Int_t compMode = 0, // Compare mode: 0 reco-genSig, 1 reco-genAll, 3 genAll-genSig, 4 calo_genp-allGen
    Int_t sysMode = 0, // Plot mode: 0 for simple plot, 1 for difference
    TString outdir = ".",
    TString title = "test"
    ) {
  // ===============================================
  // Inputs
  // ===============================================
  TFile *f = new TFile(inFileName);
  TString inFileNameStrip(inFileName); inFileNameStrip.ReplaceAll(".root","");
  TString inFileNameGen(inFileName);
  if (compMode==0) { 
    inFileNameGen.ReplaceAll("djcalo","djcalo_genp");
    inFileNameGen.ReplaceAll("HydjetAll","HydjetSig");
  }
  if (compMode==1) inFileNameGen.ReplaceAll("djcalo","djcalo_genp");
  else if (compMode==3) inFileNameGen.ReplaceAll("HydjetAll","HydjetSig");
  else if (compMode==5) inFileNameGen.ReplaceAll("djcalo_genp","djgen");
  TFile *fgen = new TFile(inFileNameGen);
  TString inFileNameStripGen(inFileNameGen); inFileNameStripGen.ReplaceAll(".root","");
  cout << "==========================================================" << endl;
  cout << "Compare: " << inFileName << endl
       << "         vs " << endl
       << "         " << inFileNameGen << endl;
  cout << "==========================================================" << endl;

  // ===============================================
  // Setup
  // ===============================================
  TString tag=Form("sysError_%s_%s_%d_%d",inFileNameStrip.Data(),title.Data(),compMode,sysMode);

  // ===============================================
  // Analyze
  // ===============================================
  TH2D * hPtPNDR = (TH2D*) f->Get("hPtPNDR");
  TH2D * hPtPADR = (TH2D*) f->Get("hPtPADR");
  TH2D * hPtPNDRBg = (TH2D*) f->Get("hPtPNDRBg");
  TH2D * hPtPADRBg = (TH2D*) f->Get("hPtPADRBg");
  TH2D * hPtPNDRSub = (TH2D*)hPtPNDR->Clone(tag+"hPtPNDRSub");
  TH2D * hPtPADRSub = (TH2D*)hPtPADR->Clone(tag+"hPtPADRSub");
  hPtPNDRSub->Add(hPtPNDR,hPtPNDRBg,1,-1);
  hPtPADRSub->Add(hPtPADR,hPtPADRBg,1,-1);

  TH2D * hPtPNDRGen = (TH2D*) fgen->Get("hPtPNDR");
  TH2D * hPtPADRGen = (TH2D*) fgen->Get("hPtPADR");
  TH2D * hPtPNDRBgGen = (TH2D*) fgen->Get("hPtPNDRBg");
  TH2D * hPtPADRBgGen = (TH2D*) fgen->Get("hPtPADRBg");
  TH2D * hPtPNDRSubGen = (TH2D*)hPtPNDRGen->Clone(tag+"hPtPNDRSub");
  TH2D * hPtPADRSubGen = (TH2D*)hPtPADRGen->Clone(tag+"hPtPADRSub");
  hPtPNDRSubGen->Add(hPtPNDRGen,hPtPNDRBgGen,1,-1);
  hPtPADRSubGen->Add(hPtPADRGen,hPtPADRBgGen,1,-1);

  // ===============================================
  // Draw
  // ===============================================
  // Get Pt info
  Int_t numPtBins=hPtPNDR->GetNbinsX();
  TH1D * hPt = (TH1D*)hPtPNDR->ProjectionX("hPt");
  /*
  cout << "Pt bins: " << numPtBins << endl;
  for (Int_t i=0; i<numPtBins+2; ++i) {
    cout << "Pt Bin " << i << " Low Edge: " << hPt->GetBinLowEdge(i) << endl;
  }
  */

  // What pt bins to draw
  const Int_t numPtBinsDraw=3;

  TCanvas * c6 = new TCanvas("c"+tag,"c"+tag,1400,500);
  c6->Divide(3,1);
  for (Int_t i=0; i<numPtBinsDraw; ++i) {
    Int_t iBeg,iEnd;
    if (i==0) { iBeg=2; iEnd=3;}
    if (i==1) { iBeg=4; iEnd=4;}
    if (i==2) { iBeg=5; iEnd=numPtBins;}
    cout << "Bin: " << iBeg <<  " to " << iEnd << endl;
    TH1D * hNr = (TH1D*)hPtPNDRSub->ProjectionY(tag+Form("hPNDRSub_%d_%d",iBeg,iEnd),iBeg,iEnd);
    TH1D * hAw = (TH1D*)hPtPADRSub->ProjectionY(tag+Form("hPADRSub_%d_%d",iBeg,iEnd),iBeg,iEnd);
    TH1D * hNrGen = (TH1D*)hPtPNDRSubGen->ProjectionY(tag+Form("hPNDRSubGen_%d_%d",iBeg,iEnd),iBeg,iEnd);
    TH1D * hAwGen = (TH1D*)hPtPADRSubGen->ProjectionY(tag+Form("hPADRSubGen_%d_%d",iBeg,iEnd),iBeg,iEnd);
    if (sysMode==1) {
      hNr->Add(hNrGen,-1);
      hAw->Add(hAwGen,-1);
    }
    if (sysMode==2) {
      hNr->Divide(hNrGen);
      hAw->Divide(hAwGen);
    }
    // Print
    cout << Form("%.1f < P_{T} < %.1f GeV: ",hPt->GetBinLowEdge(iBeg),hPt->GetBinLowEdge(iEnd+1))
      << " SigSubBkg Integral - Nr: " << hNr->Integral() << " Aw: " << hAw->Integral() << endl
      << " Gen - Nr: " << hNrGen->Integral() << " Aw: " << hAwGen->Integral() << endl;
    // Styles
    hNr->SetMarkerColor(kRed);
    hNr->SetLineColor(kRed);
    hAw->SetMarkerColor(kBlue);
    hAw->SetLineColor(kBlue);
    hAwGen->SetLineStyle(2);
    // Axis Range
    if (sysMode==0) {
      hNr->SetYTitle("Background Subtracted Signal (GeV/c)");
      hNr->SetAxisRange(-5,60,"Y");
    }
    if (sysMode==2) {
      hNr->SetAxisRange(-2,6,"Y");
    }
    // Axis Label
    if (compMode==0) {
      if (sysMode==1) {
	hNr->SetYTitle("(Reco Trk)-(Sig GenP) (GeV/c)");
	//hNr->SetAxisRange(-20,20,"Y");
      }
      if (sysMode==2) {
	hNr->SetYTitle("(Reco Trk)/(Sig GenP) (GeV/c)");
      }
    }
    if (compMode==3) {
      if (sysMode==1) {
	hNr->SetYTitle("All GenP - Sig GenP (GeV/c)");
	//hNr->SetAxisRange(-3,3,"Y");
      }
      if (sysMode==2) {
	hNr->SetYTitle("(All GenP)/(Sig GenP) (GeV/c)");
      }
    }
    hNr->SetXTitle("#Delta R");
    hNr->SetAxisRange(0,0.79999,"X");
    hNr->SetTitleOffset(1.5,"X");
    hNr->GetXaxis()->CenterTitle();
    hNr->GetYaxis()->CenterTitle();
    c6->cd(i+1);
    // Fit
    if (sysMode>0) {
      TF1 * f0 = new TF1("f0","pol0");
      f0->SetLineStyle(2);
      f0->SetLineWidth(1);
      hNr->Fit("f0");
      hAw->Fit("f0");
    }
    // Draw to Inspect
    hNr->Draw();
    hAw->Draw("same");
    if (sysMode==0) {
      hNrGen->Draw("hist same");
      hAwGen->Draw("hist same");
    }
    if (sysMode==0||sysMode==1) {
      TLine *l = new TLine(0,0,0.8,0);
      l->Draw();
    }
    if (sysMode==2) {
      TLine *l = new TLine(0,1,0.8,1);
      l->Draw();
    }
    
    TLegend *leg = new TLegend(0.35,0.7,0.85,0.94);
    leg->SetBorderSize(0);
    leg->SetFillStyle(0);
    leg->AddEntry(hNr,Form("%.1f < P_{T} < %.1f GeV",hPt->GetBinLowEdge(iBeg),hPt->GetBinLowEdge(iEnd+1)),"");
    if (sysMode==0) {
      if (compMode==0) {
	leg->AddEntry(hNr,"Leading (RecoTrk)","pl");
	leg->AddEntry(hNrGen,"Leading (Sig. GenP)","l");
	leg->AddEntry(hAw,"SubLeading (RecoTrk)","pl");
	leg->AddEntry(hAwGen,"SubLeading (Sig. GenP)","l");
      }
      if (compMode==1) {
	leg->AddEntry(hNr,"Leading (RecoTrk)","pl");
	leg->AddEntry(hNrGen,"Leading (All GenP)","l");
	leg->AddEntry(hAw,"SubLeading (RecoTrk)","pl");
	leg->AddEntry(hAwGen,"SubLeading (All GenP)","l");
      }
    }
    if (sysMode>0) {
      leg->AddEntry(hNr,"Leading","pl");
      leg->AddEntry(hAw,"SubLeading","pl");
    }
    leg->SetTextSize(0.05);
    leg->Draw();
  }

  // ===============================================
  // Save
  // ===============================================
  c6->Print(Form("%s/%s.gif",outdir.Data(),tag.Data()));
  c6->Print(Form("%s/%s.eps",outdir.Data(),tag.Data()));
  c6->Print(Form("%s/%s.C",outdir.Data(),tag.Data()));
}
void signalEff2012_PDF_details(const TString what="CTEQMSTW",const TString sample="T1bbbb",const int minnjets=3,const bool useisr=false) {

  TString njetsstring=".";

  if (minnjets==3) {
    //do nothing
  }
  else if (minnjets==5) {
    njetsstring = ".minnjets5.";
  }
  else {
    cout<<" minnjets = "<<minnjets<<" is not ok"<<endl;
    return;
  }

  TString stub1="eventcounts2x2.mergebbins";
  if (sample.Contains("pMSSM") ||sample.Contains("T1ttcc") ||sample.Contains("14TeV")||sample.Contains("TChi")) stub1="eventcounts.mergebbins";

  TString stub2=stub1;
  stub2+=".withpdfs";

  if ( useisr) {
    stub1+=".Isr0";
    stub2+=".Isr0";
  }

  //  TString nominalstub="CSVM_PF2PATjets_JES0_JER0_PFMETTypeI_METunc0_PUunc0_BTagEff05_HLTEff0."; //old
  TString nominalstub="JES0_JERbias_PFMETTypeI_METunc0_PUunc0_hpt20."; //new, and with JERbias
  TString f0file = stub1+njetsstring+nominalstub+sample+".root";
  TString fpdffile = stub2+njetsstring+nominalstub+sample+".root";

  TFile f0(f0file);
  TFile fpdf(fpdffile);

  vector<TH2D*> effratios;

   for (int ih = 0; ih<fpdf.GetListOfKeys()->GetEntries(); ih++) {
     TString histname = fpdf.GetListOfKeys()->At(ih)->GetName();
     if (! (histname.BeginsWith("events_")&&histname.Contains(what))) continue;

     TString histnametotal = histname;
     histnametotal.ReplaceAll("events_","eventstotal_");

     TString histname0=histname;
     histname0.ReplaceAll("_"+what+"0","");

     TString histname0total = histnametotal;
     histname0total.ReplaceAll("_"+what+"0","");


     TH2D* h0c = (TH2D*) f0.Get(histname0);
     TH2D* h0t = (TH2D*) f0.Get(histname0total);
     
     TH2D* hpdfc = (TH2D*) fpdf.Get(histname);
     TH2D* hpdft = (TH2D*) fpdf.Get(histnametotal);
     
     //now calculate efficiency
     TH2D* h0r = (TH2D*) h0c->Clone("h0r_"+histname);
     h0r->Reset();
     h0r->Divide(h0c,h0t);

     TH2D* hpdfr = (TH2D*) hpdfc->Clone("hpdfr_"+histname);
     hpdfr->Reset();
     hpdfr->Divide(hpdfc,hpdft);

     //and then the ratio of efficiencies
     TString rname = histname;
     rname.ReplaceAll("events_","effratio_");
     TH2D*  heffratio = (TH2D*) h0r->Clone(rname);
     heffratio->Reset();
     heffratio->Divide(hpdfr,h0r);
     effratios.push_back(heffratio);

   }

   TFile fout("signalsyst_PDF_"+what+"."+sample+njetsstring+"root","recreate");
   for (unsigned int ii=0; ii<effratios.size();ii++) {
     effratios.at(ii)->Write();
   }
   fout.Close();


   /* quick and dirty version
  TH2D* h0c = (TH2D*) f0.Get("events_b1_HT1000to100000_MET350to100000_2x2");
  TH2D* h0t = (TH2D*) f0.Get("eventstotal_b1_HT1000to100000_MET350to100000_2x2");

  TH2D* h0r = (TH2D*) h0c->Clone("h0r");
  h0r->Reset();
  h0r->Divide(h0c,h0t);

  TH2D* hpdfc = (TH2D*) fpdf.Get("events_b1_HT1000to100000_MET350to100000_CTEQMSTW0_2x2");
  TH2D* hpdft = (TH2D*) fpdf.Get("eventstotal_b1_HT1000to100000_MET350to100000_CTEQMSTW0_2x2");

  TH2D* hpdfr = (TH2D*) hpdfc->Clone("hpdfr");
  hpdfr->Reset();
  hpdfr->Divide(hpdfc,hpdft);


  TH2D*  heffratio = (TH2D*) h0r->Clone("heffratio");
  heffratio->Reset();
  heffratio->Divide(hpdfr,h0r);
  heffratio->Draw("COLZ");
   */


}
Ejemplo n.º 20
0
void drawJetFragBalance_DRDiff(
			       TString inFileName=    "plot/jfhCorrEtaPtBin4RBin20v2_HCPR_J50U_djcalo_Cent0to30_Aj0to100_SubEtaRefl.root",
			       TString inFileNameHyPy="plot/jfhCorrEtaPtBin4RBin20v2_Hydjet_djcalo_Cent0to30_Aj0to100_SubEtaRefl.root",
    TString title = "test",
    Int_t drawMode=1,
			       Int_t doLeg=1,
bool cumulative = 1
    ) {
  TFile *f = new TFile(inFileName);
  TString inFileNameStrip(inFileName); inFileNameStrip.ReplaceAll(".root","");

  TH2D * hPtPNDR = (TH2D*) f->Get("hPtPNDR");
  TH2D * hPtPADR = (TH2D*) f->Get("hPtPADR");
  TH2D * hPtPNDRBg = (TH2D*) f->Get("hPtPNDRBg");
  TH2D * hPtPADRBg = (TH2D*) f->Get("hPtPADRBg");
  TH2D * hPtPNDRBgSub = (TH2D*)hPtPNDR->Clone(inFileNameStrip+"hPtPNDRBgSub");
  TH2D * hPtPADRBgSub = (TH2D*)hPtPADR->Clone(inFileNameStrip+"hPtPADRBgSub");
  hPtPNDRBgSub->Add(hPtPNDR,hPtPNDRBg,1,-1);
  hPtPADRBgSub->Add(hPtPADR,hPtPADRBg,1,-1);

  TFile *fhypy = new TFile(inFileNameHyPy);
  TH2D * hPtPNDRHyPy = (TH2D*) fhypy->Get("hPtPNDR");
  TH2D * hPtPADRHyPy = (TH2D*) fhypy->Get("hPtPADR");
  TH2D * hPtPNDRBgHyPy = (TH2D*) fhypy->Get("hPtPNDRBg");
  TH2D * hPtPADRBgHyPy = (TH2D*) fhypy->Get("hPtPADRBg");
  TH2D * hPtPNDRBgSubHyPy = (TH2D*)hPtPNDR->Clone(inFileNameStrip+"hPtPNDRBgSubHyPy");
  TH2D * hPtPADRBgSubHyPy = (TH2D*)hPtPADR->Clone(inFileNameStrip+"hPtPADRBgSubHyPy");
  hPtPNDRBgSubHyPy->Add(hPtPNDRHyPy,hPtPNDRBgHyPy,1,-1);
  hPtPADRBgSubHyPy->Add(hPtPADRHyPy,hPtPADRBgHyPy,1,-1);

  // Get Pt info
  Int_t numBinsPt=hPtPNDR->GetNbinsX();
  Int_t numBinsDR=hPtPNDR->GetNbinsY();
  TH1D * hPt = (TH1D*)hPtPNDR->ProjectionX("hPt");
  cout << "Pt bins: " << numBinsPt << endl;

  Double_t totPtBgSubNr=hPtPNDRBgSub->Integral();
  Double_t totPtBgSubAw=hPtPADRBgSub->Integral();

  Double_t totPtBgSubNrHyPy=hPtPNDRBgSubHyPy->Integral();
  Double_t totPtBgSubAwHyPy=hPtPADRBgSubHyPy->Integral();

  int ptUp = 2;
  TH1D * hDRBgSubNr = (TH1D*)hPtPNDRBgSub->ProjectionY(inFileNameStrip+"hDRBgSubNr",1,ptUp);
  TH1D * hDRBgSubAw = (TH1D*)hPtPADRBgSub->ProjectionY(inFileNameStrip+"hDRBgSubAw",1,ptUp);
  TH1D * hDRBgSubNrHyPy = (TH1D*)hPtPNDRBgSubHyPy->ProjectionY(inFileNameStrip+"hDRBgSubNrHyPy",1,ptUp);
  TH1D * hDRBgSubAwHyPy = (TH1D*)hPtPADRBgSubHyPy->ProjectionY(inFileNameStrip+"hDRBgSubAwHyPy",1,ptUp);
  // Print
  cout << Form("%.1f < p_{T} < %.1f GeV/c: ",hPt->GetBinLowEdge(1),hPt->GetBinLowEdge(ptUp+1)) << " SigSubBkg Integral - Nr: " << endl;
  cout << " Data - Nr: " << hDRBgSubNr->Integral() << " Aw: " << hDRBgSubAw->Integral() << endl;
  cout << " Pythia+Hydjet - Nr: " << hDRBgSubNrHyPy->Integral() << " Aw: " << hDRBgSubAwHyPy->Integral() << endl;

  if (drawMode==1) TCanvas * c6 = new TCanvas("c6","c6",500,500);
  hDRBgSubNr->Scale(1./totPtBgSubNr);
  hDRBgSubAw->Scale(1./totPtBgSubAw);
  hDRBgSubNrHyPy->Scale(1./totPtBgSubNrHyPy);
  hDRBgSubAwHyPy->Scale(1./totPtBgSubAwHyPy);

  if(cumulative){
     hDRBgSubNr = IntegrateFromLeft(hDRBgSubNr);
     hDRBgSubAw = IntegrateFromLeft(hDRBgSubAw);
     hDRBgSubNrHyPy = IntegrateFromLeft(hDRBgSubNrHyPy);
     hDRBgSubAwHyPy = IntegrateFromLeft(hDRBgSubAwHyPy);
  }

  // Set Styles
  hDRBgSubNr->SetMarkerStyle(kOpenSquare);
  mcStyle1(hDRBgSubNrHyPy);
  mcStyle2(hDRBgSubAwHyPy);
  hDRBgSubNrHyPy->SetMarkerStyle(0);
  hDRBgSubAwHyPy->SetMarkerStyle(0);
  // Draw
  hDRBgSubNrHyPy->SetTitle(";#DeltaR_{max};F(#DeltaR<#DeltaR_{max})");
  hDRBgSubNrHyPy->SetAxisRange(0,0.784,"X");
  hDRBgSubNrHyPy->SetAxisRange(0,0.7,"Y");
  if(!cumulative){
     hDRBgSubNrHyPy->SetAxisRange(0,0.1,"Y");
  }
  fixedFontHist(hDRBgSubNrHyPy);
  hDRBgSubNrHyPy->DrawCopy("Ehist");
  hDRBgSubAwHyPy->DrawCopy("Ehistsame");
  hDRBgSubNr->DrawCopy("Esame");
  hDRBgSubAw->DrawCopy("Esame");

  if (doLeg==1) {
     TLegend *leg = new TLegend(0.302407,0.67,0.7536548,0.9324599);
    leg->SetFillStyle(0);
    leg->SetBorderSize(0);
    leg->SetTextFont(63);
    leg->SetTextSize(16);
    leg->AddEntry(hDRBgSubNr,Form("%.1f < p_{T} < %.1f GeV/c",hPt->GetBinLowEdge(1),hPt->GetBinLowEdge(ptUp+1)),"");
    leg->AddEntry(hDRBgSubNr,"Data Leading Jet","pl");
    leg->AddEntry(hDRBgSubAw,"Data SubLeading Jet","pl");
    leg->AddEntry(hDRBgSubNrHyPy,"MC Leading Jet","l");
    leg->AddEntry(hDRBgSubAwHyPy,"MC SubLeading Jet","l");
    leg->Draw();
  }
}