void makePlots_hlt_eventbyevent_comparison( std::string inputFile_="input.root", std::string target_label_="Target", std::string outputSuffix_="_out" ) {
TFile *file = new TFile(inputFile_.c_str());
std::string dirprefix = "Images" + outputSuffix_;
struct stat st;
if( stat(dirprefix.c_str(),&st) != 0 ) mkdir(dirprefix.c_str(),0777);
std::string label_ref = "Reference";
std::string label_tgt = target_label_;
TH1D* h_ref = (TH1D*)file->Get("eventbyevent/HLT_Ref");
TH1D* h_tgt = (TH1D*)file->Get("eventbyevent/HLT_Tgt");
TH1D* h_tgt_sep = (TH1D*)file->Get("eventbyevent/HLT_Tgt_sep");
std::map<std::string, int> hlt_counts_per_path_ref_;
std::map<std::string, int> hlt_counts_per_path_tgt_;
std::map<double, std::string> hlt_counts_per_path_diff_;
std::vector<std::string> hlt_common_paths;
TAxis * axis = h_ref->GetXaxis();
// loop over target paths
for( int iPath=0; iPath<h_tgt_sep->GetNbinsX(); iPath++ ){
std::string name(h_tgt_sep->GetXaxis()->GetBinLabel(iPath+1));
int bin = axis->FindBin(name.c_str());
if( bin<1 ) continue;
double cnt_ref = h_ref->GetBinContent(bin);
double cnt_tgt = h_tgt->GetBinContent(bin);
int diff = int( cnt_ref - cnt_tgt );
double rel_diff = double(diff);
if( cnt_ref>0 ) rel_diff = fabs(cnt_tgt - cnt_ref)/cnt_ref;
else if( cnt_tgt>0 ) rel_diff = fabs(cnt_tgt - cnt_ref)/cnt_tgt;
else rel_diff = 0.;
// printf("%s\t %d\t %d\t %d\t %.3f \n",
// name.c_str(), int(cnt_ref), int(cnt_tgt), diff, rel_diff );
hlt_counts_per_path_ref_[name] = int(cnt_ref);
hlt_counts_per_path_tgt_[name] = int(cnt_tgt);
hlt_counts_per_path_diff_[rel_diff] = name;
if( rel_diff>0.15 ) hlt_common_paths.push_back(name);
}
std::map<double, std::string>::reverse_iterator rit;
for( rit=hlt_counts_per_path_diff_.rbegin(); rit!=hlt_counts_per_path_diff_.rend(); ++rit )
std::cout << "path: " << rit->second << "\t" << rit->first << "\t" << hlt_counts_per_path_ref_[rit->second] << "\t" << hlt_counts_per_path_tgt_[rit->second] << std::endl;
int numPaths = int( hlt_counts_per_path_ref_.size() );
TH1D* h_hlt_ref = new TH1D("h_hlt_ref",";HLT path", numPaths, 0, numPaths );
TH1D* h_hlt_tgt = new TH1D("h_hlt_tgt",";HLT path", numPaths, 0, numPaths );
TH1D* h_hlt_diff = new TH1D("h_hlt_diff",";HLT path", numPaths, 0, numPaths );
int iHLT=0;
for( std::map<std::string, int>::iterator it=hlt_counts_per_path_ref_.begin(); it!=hlt_counts_per_path_ref_.end(); ++it ){
iHLT++;
std::string name = it->first;
double cnt_ref = double(hlt_counts_per_path_ref_[name]);
double cnt_tgt = double(hlt_counts_per_path_tgt_[name]);
double rel_diff = 1.0;
if( cnt_ref>0 ) rel_diff = (cnt_tgt - cnt_ref)/cnt_ref;
else if( cnt_tgt>0 ) rel_diff = (cnt_tgt - cnt_ref)/cnt_tgt;
else rel_diff = 0.;
h_hlt_ref->SetBinContent(iHLT,cnt_ref);
h_hlt_tgt->SetBinContent(iHLT,cnt_tgt);
h_hlt_diff->SetBinContent(iHLT,rel_diff);
h_hlt_ref->GetXaxis()->SetBinLabel(iHLT,name.c_str());
h_hlt_diff->GetXaxis()->SetBinLabel(iHLT,name.c_str());
}
h_hlt_ref->SetStats(0);
h_hlt_ref->SetLineColor(kBlue);
h_hlt_tgt->SetLineColor(kRed);
if( true ){
// TLegend *legend = new TLegend(0.255,0.78,0.92,0.89);
TLegend *legend = new TLegend(0.255,0.92,0.92,0.99);
legend->SetFillColor(kWhite);
legend->SetLineColor(kWhite);
legend->SetShadowColor(kWhite);
legend->SetTextFont(42);
legend->SetTextSize(0.035);
legend->SetNColumns(2);
legend->AddEntry(h_hlt_ref,label_ref.c_str(),"l");
legend->AddEntry(h_hlt_tgt,label_tgt.c_str(),"l");
//// Original
// double ratioMin = -1.2;
// double ratioMax = 1.2;
double ratioMin = -0.6;
double ratioMax = 0.6;
//Hack to get it plotted with ratio plot
TCanvas* myC = new TCanvas("myC", "myC", 1200,700);
gStyle->SetPadBorderMode(0);
gStyle->SetFrameBorderMode(0);
Float_t small = 1.e-5;
myC->Divide(1,2,small,small);
const float padding=1e-5; const float ydivide=0.3;
myC->GetPad(1)->SetPad( padding, ydivide + padding , 1-padding, 1-padding);
myC->GetPad(2)->SetPad( padding, padding, 1-padding, ydivide-padding);
myC->GetPad(1)->SetLeftMargin(.11);
myC->GetPad(2)->SetLeftMargin(.11);
myC->GetPad(1)->SetRightMargin(.05);
myC->GetPad(2)->SetRightMargin(.05);
myC->GetPad(1)->SetBottomMargin(.3);
myC->GetPad(2)->SetBottomMargin(.3);
myC->GetPad(1)->Modified();
myC->GetPad(2)->Modified();
myC->cd(1);
gPad->SetBottomMargin(small);
gPad->Modified();
TH1D* myRatio = (TH1D*)h_hlt_diff->Clone("myRatio");
myRatio->SetStats(0);
myRatio->Sumw2();
myRatio->SetLineColor(kBlack);
myRatio->SetMarkerColor(kBlack);
myRatio->SetMinimum(ratioMin);
myRatio->SetMaximum(ratioMax);
//myRatio->GetYaxis()->SetNdivisions(50000+404);
myRatio->GetYaxis()->SetNdivisions(20000+505);
myRatio->GetYaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetTitleOffset(1.1);
myRatio->GetXaxis()->SetTitle(h_hlt_diff->GetXaxis()->GetTitle()); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.12);
myRatio->GetXaxis()->SetLabelOffset(0.04);
myRatio->GetXaxis()->SetTitleSize(0.12);
// myRatio->GetYaxis()->SetTitle("Data/MC");
myRatio->GetYaxis()->SetTitle("New - Old / Old");
myRatio->GetYaxis()->SetTitleSize(0.1);
myRatio->GetYaxis()->SetTitleOffset(.45);
myC->cd(2);
gPad->SetTopMargin(small);
gPad->SetTickx();
gPad->Modified();
myC->cd(1);
h_hlt_ref->GetYaxis()->SetTitle("Number of Events");
h_hlt_ref->GetYaxis()->SetTitleSize(0.05);
h_hlt_ref->GetYaxis()->SetTitleOffset(.95);
h_hlt_ref->Draw();
h_hlt_tgt->Draw("same");
legend->Draw();
double xmin = h_hlt_ref->GetBinLowEdge(1);
double xmax = h_hlt_ref->GetBinLowEdge(h_hlt_ref->GetNbinsX()) + h_hlt_ref->GetBinWidth(h_hlt_ref->GetNbinsX());
myC->cd(2);
myRatio->SetLineWidth(2);
myRatio->Draw("hist");
TLine* myLine;
myLine = new TLine(xmin, 0, xmax, 0);
myLine->Draw();
std::string outputFile = dirprefix + "/hlt_path_comparison" + outputSuffix_ + ".pdf";
myC->Print(outputFile.c_str());
delete legend;
delete myC;
delete myLine;
}
if( true ){
int numCommonPaths = int(hlt_common_paths.size());
for( int iPath=0; iPath<numCommonPaths; iPath++ ){
std::cout << " ====================== " << std::endl;
std::string name = hlt_common_paths[iPath];
std::string pathName_ref = "eventbyevent/h_path_ref_" + name;
std::string pathName_tgt = "eventbyevent/h_path_tgt_" + name;
std::string diffname = "h_path_diff_" + name;
//std::cout << " path is " << pathName_ref << std::endl;
if( name=="HLT_LogMonitor" ) continue;
TH1D* h_hlt_filt_ref = (TH1D*)file->Get(pathName_ref.c_str());
TH1D* h_hlt_filt_tgt = (TH1D*)file->Get(pathName_tgt.c_str());
TH1D* h_hlt_filt_diff = (TH1D*)h_hlt_filt_ref->Clone(diffname.c_str());
bool printOut = true;
for( int iBin=0; iBin<h_hlt_filt_tgt->GetNbinsX(); iBin++ ){
double cnt_ref = h_hlt_filt_ref->GetBinContent(iBin+1);
double cnt_tgt = h_hlt_filt_tgt->GetBinContent(iBin+1);
double rel_diff = 1.0;
if( cnt_ref>0 ) rel_diff = (cnt_tgt - cnt_ref)/cnt_ref;
else if( cnt_tgt>0 ) rel_diff = (cnt_tgt - cnt_ref)/cnt_tgt;
else rel_diff = 0.;
h_hlt_filt_diff->SetBinContent(iBin+1,rel_diff);
//if( fabs(rel_diff)>0.0002 ) printOut = true;
}
if( printOut ){
double cnt_ref = double(hlt_counts_per_path_ref_[name]);
double cnt_tgt = double(hlt_counts_per_path_tgt_[name]);
double rel_diff = 1.0;
if( cnt_ref>0 ) rel_diff = (cnt_tgt - cnt_ref)/cnt_ref;
else if( cnt_tgt>0 ) rel_diff = (cnt_tgt - cnt_ref)/cnt_tgt;
else rel_diff = 0.;
printf("%s: relative difference = %.3f,\t reference = %d,\t target = %d \n",
name.c_str(), rel_diff, hlt_counts_per_path_ref_[name], hlt_counts_per_path_tgt_[name]);
for( int iBin=0; iBin<h_hlt_filt_tgt->GetNbinsX(); iBin++ ){
double my_cnt_ref = h_hlt_filt_ref->GetBinContent(iBin+1);
double my_cnt_tgt = h_hlt_filt_tgt->GetBinContent(iBin+1);
double my_rel_diff = 1.0;
if( my_cnt_ref>0 ) my_rel_diff = (my_cnt_tgt - my_cnt_ref)/my_cnt_ref;
else if( my_cnt_tgt>0 ) my_rel_diff = (my_cnt_tgt - my_cnt_ref)/my_cnt_tgt;
else my_rel_diff = 0.;
printf("\t %s \t %.3f \t %.0f \t %.0f \n",
h_hlt_filt_ref->GetXaxis()->GetBinLabel(iBin+1), my_rel_diff, my_cnt_ref, my_cnt_tgt);
}
}
h_hlt_filt_ref->SetStats(0);
h_hlt_filt_ref->SetLineColor(kBlue);
h_hlt_filt_tgt->SetLineColor(kRed);
//TLegend *legend = new TLegend(0.255,0.78,0.92,0.89);
TLegend *legend = new TLegend(0.255,0.92,0.92,0.99);
legend->SetFillColor(kWhite);
legend->SetLineColor(kWhite);
legend->SetShadowColor(kWhite);
legend->SetTextFont(42);
legend->SetTextSize(0.035);
legend->SetNColumns(2);
legend->AddEntry(h_hlt_filt_ref,label_ref.c_str(),"l");
legend->AddEntry(h_hlt_filt_tgt,label_tgt.c_str(),"l");
double ratioMin = -1.2;
double ratioMax = 1.2;
//Hack to get it plotted with ratio plot
TCanvas* myC = new TCanvas("myC", "myC", 600,700);
gStyle->SetPadBorderMode(0);
gStyle->SetFrameBorderMode(0);
Float_t small = 1.e-5;
myC->Divide(1,2,small,small);
const float padding=1e-5; const float ydivide=0.3;
myC->GetPad(1)->SetPad( padding, ydivide + padding , 1-padding, 1-padding);
myC->GetPad(2)->SetPad( padding, padding, 1-padding, ydivide-padding);
myC->GetPad(1)->SetLeftMargin(.11);
myC->GetPad(2)->SetLeftMargin(.11);
myC->GetPad(1)->SetRightMargin(.05);
myC->GetPad(2)->SetRightMargin(.05);
myC->GetPad(1)->SetBottomMargin(.3);
myC->GetPad(2)->SetBottomMargin(.3);
myC->GetPad(1)->Modified();
myC->GetPad(2)->Modified();
myC->cd(1);
gPad->SetBottomMargin(small);
gPad->Modified();
TH1D* myRatio = (TH1D*)h_hlt_filt_diff->Clone();
myRatio->SetStats(0);
myRatio->Sumw2();
myRatio->SetLineColor(kBlack);
myRatio->SetMarkerColor(kBlack);
myRatio->SetMinimum(ratioMin);
myRatio->SetMaximum(ratioMax);
myRatio->GetYaxis()->SetNdivisions(50000+404);
myRatio->GetYaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetTitleOffset(1.1);
myRatio->GetXaxis()->SetTitle(h_hlt_diff->GetXaxis()->GetTitle()); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.12);
myRatio->GetXaxis()->SetLabelOffset(0.04);
myRatio->GetXaxis()->SetTitleSize(0.12);
// myRatio->GetYaxis()->SetTitle("Data/MC");
myRatio->GetYaxis()->SetTitle("New - Old / Old");
myRatio->GetYaxis()->SetTitleSize(0.1);
myRatio->GetYaxis()->SetTitleOffset(.45);
myC->cd(2);
gPad->SetTopMargin(small);
gPad->SetTickx();
gPad->Modified();
myC->cd(1);
h_hlt_filt_ref->GetYaxis()->SetTitle("Number of Events");
h_hlt_filt_ref->GetYaxis()->SetTitleSize(0.05);
h_hlt_filt_ref->GetYaxis()->SetTitleOffset(.95);
h_hlt_filt_ref->Draw();
h_hlt_filt_tgt->Draw("same");
legend->Draw();
double xmin = h_hlt_filt_ref->GetBinLowEdge(1);
double xmax = h_hlt_filt_ref->GetBinLowEdge(h_hlt_filt_ref->GetNbinsX()) + h_hlt_filt_ref->GetBinWidth(h_hlt_filt_ref->GetNbinsX());
myC->cd(2);
myRatio->SetLineWidth(2);
myRatio->Draw("hist");
TLine* myLine;
myLine = new TLine(xmin, 0, xmax, 0);
myLine->Draw();
std::string outputFile = dirprefix + "/hlt_path_" + name + outputSuffix_ + ".pdf";
myC->Print(outputFile.c_str());
delete legend;
delete myC;
delete myLine;
}
std::cout << " ====================== " << std::endl;
}
// close file
file->Close();
}
void Wpt_ZmassCompEtaBins_Gaus(const TString Mode,//Channel - Muon or Electron
const TString corrName,
const TString outputDir
)
{
TString plotTitle;
TString mu_etaRange[6];
mu_etaRange[0] = "-2.1 #geq eta < -1.4";
mu_etaRange[1] = "-1.4 #geq eta < -0.7";
mu_etaRange[2] = "-0.7 #geq eta < 0";
mu_etaRange[3] = "0 #geq eta < 0.7";
mu_etaRange[4] = "0.7 #geq eta < 1.4";
mu_etaRange[5] = "1.4 #geq eta < 2.1";
TH1D* makeDiffHist(TH1D* h1, TH1D* h2, const TString name);
const TString format("png");
Int_t ratioColor = kGray+2;
TFile *fname_MC;
TFile *fname_RD;
gSystem->mkdir(outputDir,kTRUE);
CPlot::sOutDir = outputDir;
fname_MC = new TFile("Muon2012LoPU/Muon_DYToMuMu_S8.root");
fname_RD = new TFile("Muon2012LoPU/Muon_RD_LowPU.root");
if(Mode=="Electron")
{
fname_MC = new TFile("Electron2012LoPU/Ele_DYToEE_S8.root");
fname_RD = new TFile("Electron2012LoPU/Ele_RD_LowPU.root");
}
CPlot *plotMllEtaBinP;
CPlot *plotMllEtaBinM;
CPlot *plotMllEtameanP;
CPlot *plotMllEtameanM;
CPlot *plotMllEtawidthP;
CPlot *plotMllEtawidthM;
TH1D *hMCetaBinP[ScaleBins];
TH1D *hRDetaBinP[ScaleBins];
TH1D *hMCetaBinM[ScaleBins];
TH1D *hRDetaBinM[ScaleBins];
RooDataHist *h1_MCetaBinP;
RooDataHist *h1_RDetaBinP;
RooDataHist *h1_MCetaBinM;
RooDataHist *h1_RDetaBinM;
TH1D *hMCmeanp = new TH1D("hMCmeanp","hMCmeanp",ScaleBins,-2.1,2.1);hMCmeanp->Sumw2();
TH1D *hRDmeanp = new TH1D("hRDmeanp","hRDmeanp",ScaleBins,-2.1,2.1);hRDmeanp->Sumw2();
TH1D *hMCmeanm = new TH1D("hMCmeanm","hMCmeanm",ScaleBins,-2.1,2.1);hMCmeanm->Sumw2();
TH1D *hRDmeanm = new TH1D("hRDmeanm","hRDmeanm",ScaleBins,-2.1,2.1);hRDmeanm->Sumw2();
TH1D *hMCwidthp = new TH1D("hMCwidthp","hMCwidthp",ScaleBins,-2.1,2.1);hMCwidthp->Sumw2();
TH1D *hRDwidthp = new TH1D("hRDwidthp","hRDwidthp",ScaleBins,-2.1,2.1);hRDwidthp->Sumw2();
TH1D *hMCwidthm = new TH1D("hMCwidthm","hMCwidthm",ScaleBins,-2.1,2.1);hMCwidthm->Sumw2();
TH1D *hRDwidthm = new TH1D("hRDwidthm","hRDwidthm",ScaleBins,-2.1,2.1);hRDwidthm->Sumw2();
char histName[50];
char tmpName[50];
TCanvas *myCan;
myCan = MakeCanvas("myCan","myCan",800,600);
myCan->SetPad(0,0,1.0,1.0);
myCan->SetTopMargin(0.11);
myCan->SetBottomMargin(0.15);
myCan->SetLeftMargin(0.15);
myCan->SetRightMargin(0.05);
myCan->SetTickx(1);
myCan->SetTicky(1);
//=============================
//Read Zmass histograms for each pt bin
//=============================
for(int i(0);i<ScaleBins;i++){
sprintf(tmpName,"h1_Zmass_muEtaP_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_muEtaP_%d",i);
if(outputDir=="Wpt_ZmassPlotsEtaBins_noOverLap_Gaus")
{
sprintf(tmpName,"h1_Zmass_noOverLap_muEtaP_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_noOverLap_muEtaP_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_LeadingLept_noOverLap_Gaus")
{
sprintf(tmpName,"h1_Zmass_LeadingLept_noOverLap_muEtaP_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_LeadingLept_noOverLap_muEtaP_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_LeadingLept_Gaus")
{
sprintf(tmpName,"h1_Zmass_LeadingLept_muEtaP_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_LeadingLept_muEtaP_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_TrailingLept_noOverLap_Gaus")
{
sprintf(tmpName,"h1_Zmass_TrailingLept_noOverLap_muEtaP_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_TrailingLept_noOverLap_muEtaP_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_TrailingLept_Gaus")
{
sprintf(tmpName,"h1_Zmass_TrailingLept_muEtaP_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_TrailingLept_muEtaP_%d",i);
}
sprintf(histName,"hMCetaBinP_%d",i);
hMCetaBinP[i]= (TH1D*)fname_MC->Get(tmpName)->Clone(histName); hMCetaBinP[i]->Sumw2();
sprintf(histName,"hRDetaBinP_%d",i);
hRDetaBinP[i]= (TH1D*)fname_RD->Get(tmpName)->Clone(histName); hRDetaBinP[i]->Sumw2();
sprintf(tmpName,"h1_Zmass_muEtaM_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_muEtaM_%d",i);
if(outputDir=="Wpt_ZmassPlotsEtaBins_noOverLap_Gaus")
{
sprintf(tmpName,"h1_Zmass_noOverLap_muEtaM_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_noOverLap_muEtaM_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_LeadingLept_noOverLap_Gaus")
{
sprintf(tmpName,"h1_Zmass_LeadingLept_noOverLap_muEtaM_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_LeadingLept_noOverLap_muEtaM_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_LeadingLept_Gaus")
{
sprintf(tmpName,"h1_Zmass_LeadingLept_muEtaM_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_LeadingLept_muEtaM_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_TrailingLept_noOverLap_Gaus")
{
sprintf(tmpName,"h1_Zmass_TrailingLept_noOverLap_muEtaM_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_TrailingLept_noOverLap_muEtaM_%d",i);
}
if(outputDir=="Wpt_ZmassPlotsEtaBins_TrailingLept_Gaus")
{
sprintf(tmpName,"h1_Zmass_TrailingLept_muEtaM_%d",i);
if(corrName=="CorrTotalRegion")
sprintf(tmpName,"h1_ZmassCorr_TrailingLept_muEtaM_%d",i);
}
sprintf(histName,"hMCetaBinM_%d",i);
hMCetaBinM[i]= (TH1D*)fname_MC->Get(tmpName)->Clone(histName); hMCetaBinM[i]->Sumw2();
sprintf(histName,"hRDetaBinM_%d",i);
hRDetaBinM[i]= (TH1D*)fname_RD->Get(tmpName)->Clone(histName); hRDetaBinM[i]->Sumw2();
hMCetaBinP[i] -> SetMarkerSize(0.9);
hMCetaBinP[i] -> SetMarkerColor(kRed);
hMCetaBinP[i] -> SetLineColor(kRed);
hRDetaBinP[i] -> SetMarkerSize(0.9);
hRDetaBinP[i] -> SetMarkerColor(kBlack);
hRDetaBinP[i] -> SetLineColor(kBlack);
hMCetaBinM[i] -> SetMarkerSize(0.9);
hMCetaBinM[i] -> SetMarkerColor(kRed);
hMCetaBinM[i] -> SetLineColor(kRed);
hRDetaBinM[i] -> SetMarkerSize(0.9);
hRDetaBinM[i] -> SetMarkerColor(kBlack);
hRDetaBinM[i] -> SetLineColor(kBlack);
RooRealVar x("x", "x",80,100);
x.setBins(40);
x.setRange("R0",86,96);
h1_MCetaBinP = new RooDataHist("h1_MCetaBinP","h1_MCetaBinP",RooArgSet(x),hMCetaBinP[i]);
h1_MCetaBinM = new RooDataHist("h1_MCetaBinM","h1_MCetaBinM",RooArgSet(x),hMCetaBinM[i]);
h1_RDetaBinP = new RooDataHist("h1_RDetaBinP","h1_RDetaBinP",RooArgSet(x),hRDetaBinP[i]);
h1_RDetaBinM = new RooDataHist("h1_RDetaBinM","h1_RDetaBinM",RooArgSet(x),hRDetaBinM[i]);
//=============================
//Gauss function
//=============================
RooRealVar meanMCp("meanMCp","",91.2,80,100);
RooRealVar meanRDp("meanRDp","",91.2,80,100);
RooRealVar meanMCm("meanMCm","",91.2,80,100);
RooRealVar meanRDm("meanRDm","",91.2,80,100);
RooRealVar sigmaMCp("sigmaMCp","",5,-50.,50.);
RooRealVar sigmaRDp("sigmaRDp","",5,-50.,50.);
RooRealVar sigmaMCm("sigmaMCm","",5,-50.,50.);
RooRealVar sigmaRDm("sigmaRDm","",5,-50.,50.);
RooGaussian mcModelp("mcModelp", "",x,meanMCp,sigmaMCp);
RooGaussian mcModelm("mcModelm", "",x,meanMCm,sigmaMCm);
RooGaussian dataModelp("dataModelp", "",x,meanRDp,sigmaRDp);
RooGaussian dataModelm("dataModelm", "",x,meanRDm,sigmaRDm);
//==================================
//Fit Zmass distribution with Gaussian function
//=============================
mcModelp.fitTo(*h1_MCetaBinP,Range("R0"));
mcModelm.fitTo(*h1_MCetaBinM,Range("R0"));
dataModelp.fitTo(*h1_RDetaBinP,Range("R0"));
dataModelm.fitTo(*h1_RDetaBinM,Range("R0"));
//==================================
//Fill 2D plots: etaBins and mean values
//=============================
hMCmeanp->SetBinContent(i+1,meanMCp.getVal());
hRDmeanp->SetBinContent(i+1,meanRDp.getVal());
hMCmeanm->SetBinContent(i+1,meanMCm.getVal());
hRDmeanm->SetBinContent(i+1,meanRDm.getVal());
hMCmeanp->SetBinError(i+1,meanMCp.getError());
hRDmeanp->SetBinError(i+1,meanRDp.getError());
hMCmeanm->SetBinError(i+1,meanMCm.getError());
hRDmeanm->SetBinError(i+1,meanRDm.getError());
hMCwidthp->SetBinContent(i+1,sigmaMCp.getVal());
hRDwidthp->SetBinContent(i+1,sigmaRDp.getVal());
hMCwidthm->SetBinContent(i+1,sigmaMCm.getVal());
hRDwidthm->SetBinContent(i+1,sigmaRDm.getVal());
hMCwidthp->SetBinError(i+1,sigmaMCp.getError());
hRDwidthp->SetBinError(i+1,sigmaRDp.getError());
hMCwidthm->SetBinError(i+1,sigmaMCm.getError());
hRDwidthm->SetBinError(i+1,sigmaRDm.getError());
cout<<meanMCp.getVal()<<"\t"<<meanMCm.getVal()<<"\t"<<meanRDp.getVal()<<"\t"<<meanRDm.getVal()<<endl;
RooPlot* pframe = x.frame(Bins(40));
RooPlot* mframe = x.frame(Bins(40));
//==================================
//Draw muon plus
//==================================
sprintf(tmpName,"pFit_etaBin%d_noCorr",i);
plotTitle = "Wpt: " + mu_etaRange[i] + " of #mu^{+}, before correction";
if(corrName=="CorrTotalRegion")
{
sprintf(tmpName,"pFit_etaBin%d_Corr",i);
plotTitle = "Wpt: " + mu_etaRange[i] + " of #mu^{+}, after correction";
}
sprintf(histName,"Events / %.1f",hMCetaBinP[i]->GetBinWidth(1));
plotMllEtaBinP = new CPlot(tmpName,pframe,plotTitle,"M_{#mu#mu} [GeV]",histName);
plotMllEtaBinP->setOutDir(CPlot::sOutDir);
plotMllEtaBinP->SetLegend(0.7,0.7,0.88,0.82);
h1_MCetaBinP->plotOn(pframe,LineColor(kRed),MarkerColor(kRed),MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"),DataError(RooAbsData::SumW2));
mcModelp.plotOn(pframe,LineColor(kRed));
h1_RDetaBinP->plotOn(pframe,LineColor(kBlack),MarkerColor(kBlack),MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"),DataError(RooAbsData::SumW2));
dataModelp.plotOn(pframe,LineColor(kBlack));
plotMllEtaBinP->GetLegend()->AddEntry(hMCetaBinP[i],"Z #rightarrow #mu#mu","pl");
plotMllEtaBinP->GetLegend()->AddEntry(hRDetaBinP[i],"Data","pl");
sprintf(tmpName,"MC: #mu=%.2f #pm %.2f, #sigma=%.2f #pm %.2f",meanMCp.getVal(),meanMCp.getError(),sigmaMCp.getVal(),sigmaMCp.getError());
plotMllEtaBinP->AddTextBox(tmpName,0.20,0.83,0.6,0.88,0);
sprintf(tmpName,"Data: #mu=%.2f #pm %.2f, #sigma=%.2f #pm %.2f",meanRDp.getVal(),meanRDp.getError(),sigmaRDp.getVal(),sigmaRDp.getError());
plotMllEtaBinP->AddTextBox(tmpName,0.20,0.78,0.6,0.83,0);
plotMllEtaBinP->SetYRange(0.,1.4*TMath::Max(hRDetaBinP[i]->GetMaximum(),hMCetaBinP[i]->GetMaximum()));
plotMllEtaBinP->Draw(myCan,kTRUE,"png");
//==================================
//Draw muon minus
//=============================
sprintf(tmpName,"mFit_etaBin%d_noCorr",i);
plotTitle = "Wpt: " + mu_etaRange[i] + " of #mu^{-}, before correction";
if(corrName=="CorrTotalRegion")
{
sprintf(tmpName,"mFit_etaBin%d_Corr",i);
plotTitle = "Wpt: " + mu_etaRange[i] + " of #mu^{-}, after correction";
}
sprintf(histName,"Events / %.1f",hMCetaBinM[i]->GetBinWidth(1));
plotMllEtaBinM = new CPlot(tmpName,mframe,plotTitle,"M_{#mu#mu} [GeV]",histName);
plotMllEtaBinM->setOutDir(CPlot::sOutDir);
plotMllEtaBinM->SetLegend(0.7,0.7,0.88,0.82);
h1_MCetaBinM->plotOn(mframe,LineColor(kRed),MarkerColor(kRed),MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"),DataError(RooAbsData::SumW2));
mcModelm.plotOn(mframe,LineColor(kRed));
h1_RDetaBinM->plotOn(mframe,LineColor(kBlack),MarkerColor(kBlack),MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"),DataError(RooAbsData::SumW2));
dataModelm.plotOn(mframe,LineColor(kBlack));
plotMllEtaBinM->GetLegend()->AddEntry(hMCetaBinM[i],"Z #rightarrow #mu#mu","pl");
plotMllEtaBinM->GetLegend()->AddEntry(hRDetaBinM[i],"Data","pl");
sprintf(tmpName,"MC: #mu=%.2f #pm %.2f, #sigma=%.2f #pm %.2f",meanMCm.getVal(),meanMCm.getError(),sigmaMCm.getVal(),sigmaMCm.getError());
plotMllEtaBinM->AddTextBox(tmpName,0.20,0.83,0.6,0.88,0);
sprintf(tmpName,"Data: #mu=%.2f #pm %.2f, #sigma=%.2f #pm %.2f",meanRDm.getVal(),meanRDm.getError(),sigmaRDm.getVal(),sigmaRDm.getError());
plotMllEtaBinM->AddTextBox(tmpName,0.20,0.78,0.6,0.83,0);
plotMllEtaBinM->SetYRange(0.,1.4*TMath::Max(hRDetaBinM[i]->GetMaximum(),hMCetaBinM[i]->GetMaximum()));
plotMllEtaBinM->Draw(myCan,kTRUE,"png");
}
//==================================
//Save Mean and Width histograms to root file
//==================================
TString filename = outputDir + "/Wpt_MeanWidth_Gaus_" + corrName + ".root";
TFile *outfile = new TFile(filename,"RECREATE");
hMCmeanp ->Write();
hMCmeanm ->Write();
hMCwidthp->Write();
hMCwidthm->Write();
hRDmeanp ->Write();
hRDmeanm ->Write();
hRDwidthp->Write();
hRDwidthm->Write();
outfile->Close();
//==================================
//Draw 2D plots
//==================================
TString histoName = "plusMean_" + corrName;
plotTitle = "Wpt: mean at #eta of #mu^{+}, before correction";
if(corrName=="CorrTotalRegion")
plotTitle = "Wpt: mean at #eta of #mu^{+}, after correction";
plotMllEtameanP= new CPlot(histoName,plotTitle,"#eta of #mu^{+}","Mean of M(#mu^{+}#mu^{-})");
plotMllEtameanP->setOutDir(CPlot::sOutDir);
plotMllEtameanP->AddHist1D(hMCmeanp,"Z#rightarrow #mu#mu","E1",kRed);
plotMllEtameanP->AddHist1D(hRDmeanp,"Data","E1",kBlack);
plotMllEtameanP->SetLegend(0.7,0.7,0.88,0.82);
plotMllEtameanP->SetYRange(90,92);
plotMllEtameanP->Draw(myCan,kTRUE,format);
histoName = "minusMean_" + corrName;
plotTitle = "Wpt: mean at #eta of #mu^{-}, before correction";
if(corrName=="CorrTotalRegion")
plotTitle = "Wpt: mean at #eta of #mu^{-}, after correction";
plotMllEtameanM= new CPlot(histoName,plotTitle,"#eta of #mu^{-}","Mean of M(#mu^{+}#mu^{-})");
plotMllEtameanM->setOutDir(CPlot::sOutDir);
plotMllEtameanM->AddHist1D(hMCmeanm,"Z#rightarrow #mu#mu","E1",kRed);
plotMllEtameanM->AddHist1D(hRDmeanm,"Data","E1",kBlack);
plotMllEtameanM->SetLegend(0.7,0.7,0.88,0.82);
plotMllEtameanM->SetYRange(90,92);
plotMllEtameanM->Draw(myCan,kTRUE,format);
histoName = "plusWidth_" + corrName;
plotTitle = "Wpt: width at #eta of #mu^{+}, before correction";
if(corrName=="CorrTotalRegion")
plotTitle = "Wpt: width at #eta of #mu^{+}, after correction";
plotMllEtawidthP= new CPlot(histoName,plotTitle,"#eta of #mu^{+}","Width of M(#mu^{+}#mu^{-})");
plotMllEtawidthP->setOutDir(CPlot::sOutDir);
plotMllEtawidthP->AddHist1D(hMCwidthp,"Z#rightarrow #mu#mu","E1",kRed);
plotMllEtawidthP->AddHist1D(hRDwidthp,"Data","E1",kBlack);
plotMllEtawidthP->SetLegend(0.7,0.7,0.88,0.82);
plotMllEtawidthP->SetYRange(1.5,3);
plotMllEtawidthP->Draw(myCan,kTRUE,format);
histoName = "minusWidth_" + corrName;
plotTitle = "Wpt: width at #eta of #mu^{-}, before correction";
if(corrName=="CorrTotalRegion")
plotTitle = "Wpt: width at #eta of #mu^{-}, after correction";
plotMllEtawidthM= new CPlot(histoName,plotTitle,"#eta of #mu^{-}","Width of M(#mu^{+}#mu^{-})");
plotMllEtawidthM->setOutDir(CPlot::sOutDir);
plotMllEtawidthM->AddHist1D(hMCwidthm,"Z#rightarrow #mu#mu","E1",kRed);
plotMllEtawidthM->AddHist1D(hRDwidthm,"Data","E1",kBlack);
plotMllEtawidthM->SetLegend(0.7,0.7,0.88,0.82);
plotMllEtawidthM->SetYRange(1.5,3);
plotMllEtawidthM->Draw(myCan,kTRUE,format);
}
void fitWe(const TString outputDir="test", // output directory
const Double_t lumi=18.7, // integrated luminosity (/fb)
const Int_t Ecm=8, // center-of-mass energy
const Int_t doPU=1 // option for PU-reweighting
) {
gBenchmark->Start("fitWe");
//--------------------------------------------------------------------------------------------------------------
// Settings
//==============================================================================================================
// MET histogram binning and range
const Int_t NBINS = 50;
const Double_t METMAX = 100;
const Double_t PT_CUT = 25;
const Double_t ETA_CUT = 2.5;
// file format for output plots
const TString format("png");
// file name with recoil correction
TString recoilfname("../RecoilSyst/ZeeData/fits.root");
// file name(s) with PU weights
TString pufname("");
if(doPU>0) {
if(doPU==1) { pufname = "Utils/PileupReweighting.Summer11DYmm_To_Run2011A.root"; }
else { cout << "Invalid option for PU re-weighting! Aborting..." << endl; assert(0); }
}
//
// input ntuple file names
//
enum { eData, eWenu, eEWK }; // data type enum
vector<TString> fnamev;
vector<Int_t> typev;
fnamev.push_back("../Selection/Wenu/ntuples/data_m23_select.root"); typev.push_back(eData);
fnamev.push_back("../Selection/Wenu/ntuples/we_select.root"); typev.push_back(eWenu);
fnamev.push_back("../Selection/Wenu/ntuples/ewk_select.root"); typev.push_back(eEWK);
fnamev.push_back("../Selection/Wenu/ntuples/top_select.root"); typev.push_back(eEWK);
//--------------------------------------------------------------------------------------------------------------
// Main analysis code
//==============================================================================================================
// Create output directory
gSystem->mkdir(outputDir,kTRUE);
CPlot::sOutDir = outputDir;
// Get pile-up weights
TFile *pufile = 0;
TH1D *puWeights = 0;
if(doPU>0) {
pufile = new TFile(pufname);
assert(pufile);
puWeights = (TH1D*)pufile->Get("puWeights");
assert(puWeights);
}
// Access recoil corrections
//RecoilCorrector recoilCorr(recoilfname);
//
// Declare MET histograms
//
TH1D *hDataMet = new TH1D("hDataMet", "",NBINS,0,METMAX); hDataMet->Sumw2();
TH1D *hDataMetm = new TH1D("hDataMetm","",NBINS,0,METMAX); hDataMetm->Sumw2();
TH1D *hDataMetp = new TH1D("hDataMetp","",NBINS,0,METMAX); hDataMetp->Sumw2();
TH1D *hWenuMet = new TH1D("hWenuMet", "",NBINS,0,METMAX); hWenuMet->Sumw2();
TH1D *hWenuMetp = new TH1D("hWenuMetp","",NBINS,0,METMAX); hWenuMetp->Sumw2();
TH1D *hWenuMetm = new TH1D("hWenuMetm","",NBINS,0,METMAX); hWenuMetm->Sumw2();
TH1D *hEWKMet = new TH1D("hEWKMet", "",NBINS,0,METMAX); hEWKMet->Sumw2();
TH1D *hEWKMetp = new TH1D("hEWKMetp", "",NBINS,0,METMAX); hEWKMetp->Sumw2();
TH1D *hEWKMetm = new TH1D("hEWKMetm", "",NBINS,0,METMAX); hEWKMetm->Sumw2();
//
// Declare variables to read in ntuple
//
UInt_t runNum, lumiSec, evtNum;
UInt_t npv, npu;
Float_t genWPt, genWPhi;
Float_t scale1fb;
Float_t met, metPhi, sumEt, mt, u1, u2;
Int_t q;
LorentzVector *lep=0;
LorentzVector *sc=0;
TFile *infile=0;
TTree *intree=0;
//
// Loop over files
//
for(UInt_t ifile=0; ifile<fnamev.size(); ifile++) {
// Read input file and get the TTrees
cout << "Processing " << fnamev[ifile] << "..." << endl;
infile = new TFile(fnamev[ifile]); assert(infile);
intree = (TTree*)infile->Get("Events"); assert(intree);
intree->SetBranchAddress("runNum", &runNum); // event run number
intree->SetBranchAddress("lumiSec", &lumiSec); // event lumi section
intree->SetBranchAddress("evtNum", &evtNum); // event number
intree->SetBranchAddress("npv", &npv); // number of primary vertices
intree->SetBranchAddress("npu", &npu); // number of in-time PU events (MC)
intree->SetBranchAddress("genVPt", &genWPt); // GEN W boson pT (signal MC)
intree->SetBranchAddress("genVPhi", &genWPhi); // GEN W boson phi (signal MC)
intree->SetBranchAddress("scale1fb", &scale1fb); // event weight per 1/fb (MC)
intree->SetBranchAddress("met", &met); // MET
intree->SetBranchAddress("metPhi", &metPhi); // phi(MET)
intree->SetBranchAddress("sumEt", &sumEt); // Sum ET
intree->SetBranchAddress("mt", &mt); // transverse mass
intree->SetBranchAddress("u1", &u1); // parallel component of recoil
intree->SetBranchAddress("u2", &u2); // perpendicular component of recoil
intree->SetBranchAddress("q", &q); // lepton charge
intree->SetBranchAddress("lep", &lep); // lepton 4-vector
intree->SetBranchAddress("sc", &sc); // electron Supercluster 4-vector
//
// loop over events
//
for(UInt_t ientry=0; ientry<intree->GetEntries(); ientry++) {
intree->GetEntry(ientry);
if(mt< 40) continue; // LUCA ADD
TLorentzVector muPosP, muNegP, JpsiP;
muPosP.SetPtEtaPhiM(lep->Pt(),lep->Eta(),lep->Phi(),lep->M()); // always use the muon
muNegP.SetPtEtaPhiM(met,0,metPhi,0); // always use the neutrino
JpsiP = muPosP + muNegP;
// if(JpsiP.Pt() < 15
// || JpsiP.Pt() > 25 ) continue;
if(sc->Pt() < PT_CUT) continue;
if(fabs(sc->Eta()) > ETA_CUT) continue;
if(typev[ifile]==eData) {
hDataMet->Fill(met);
if(q>0) { hDataMetp->Fill(met); }
else { hDataMetm->Fill(met); }
} else {
Double_t weight = 1;
weight *= scale1fb*lumi;
if(puWeights)
weight *= puWeights->GetBinContent(npu+1);
if(typev[ifile]==eWenu) {
Double_t corrMet=met, corrMetPhi=metPhi;
// apply recoil corrections to W MC
//recoilCorr.Correct(corrMet,corrMetPhi,genWPt,genWPhi,lep->Pt(),lep->Phi());
hWenuMet->Fill(corrMet,weight);
if(q>0) { hWenuMetp->Fill(corrMet,weight); }
else { hWenuMetm->Fill(corrMet,weight); }
}
if(typev[ifile]==eEWK) {
hEWKMet->Fill(met,weight);
if(q>0) { hEWKMetp->Fill(met,weight); }
else { hEWKMetm->Fill(met,weight); }
}
}
}
}
delete infile;
infile=0, intree=0;
//
// Declare fit parameters for signal and background yields
// Note: W signal and EWK+top PDFs are constrained to the ratio described in MC
//
RooRealVar nSig("nSig","nSig",0.7*(hDataMet->Integral()),0,hDataMet->Integral());
RooRealVar nQCD("nQCD","nQCD",0.3*(hDataMet->Integral()),0,hDataMet->Integral());
RooRealVar cewk("cewk","cewk",0.1,0,5) ;
cewk.setVal(hEWKMet->Integral()/hWenuMet->Integral());
cewk.setConstant(kTRUE);
RooFormulaVar nEWK("nEWK","nEWK","cewk*nSig",RooArgList(nSig,cewk));
RooRealVar nSigp("nSigp","nSigp",0.7*(hDataMetp->Integral()),0,hDataMetp->Integral());
RooRealVar nQCDp("nQCDp","nQCDp",0.3*(hDataMetp->Integral()),0,hDataMetp->Integral());
RooRealVar cewkp("cewkp","cewkp",0.1,0,5) ;
cewkp.setVal(hEWKMetp->Integral()/hWenuMetp->Integral());
cewkp.setConstant(kTRUE);
RooFormulaVar nEWKp("nEWKp","nEWKp","cewkp*nSigp",RooArgList(nSigp,cewkp));
RooRealVar nSigm("nSigm","nSigm",0.7*(hDataMetm->Integral()),0,hDataMetm->Integral());
RooRealVar nQCDm("nQCDm","nQCDm",0.3*(hDataMetm->Integral()),0,hDataMetm->Integral());
RooRealVar cewkm("cewkm","cewkm",0.1,0,5) ;
cewkm.setVal(hEWKMetm->Integral()/hWenuMetm->Integral());
cewkm.setConstant(kTRUE);
RooFormulaVar nEWKm("nEWKm","nEWKm","cewkm*nSigm",RooArgList(nSigm,cewkm));
//
// Construct PDFs for fitting
//
RooRealVar pfmet("pfmet","pfmet",0,METMAX);
pfmet.setBins(NBINS);
// Signal PDFs
RooDataHist wenuMet ("wenuMET", "wenuMET", RooArgSet(pfmet),hWenuMet); RooHistPdf pdfWe ("we", "we", pfmet,wenuMet, 1);
RooDataHist wenuMetp("wenuMETp","wenuMETp",RooArgSet(pfmet),hWenuMetp); RooHistPdf pdfWep("wep","wep",pfmet,wenuMetp,1);
RooDataHist wenuMetm("wenuMETm","wenuMETm",RooArgSet(pfmet),hWenuMetm); RooHistPdf pdfWem("wem","wem",pfmet,wenuMetm,1);
// EWK+top PDFs
RooDataHist ewkMet ("ewkMET", "ewkMET", RooArgSet(pfmet),hEWKMet); RooHistPdf pdfEWK ("ewk", "ewk", pfmet,ewkMet, 1);
RooDataHist ewkMetp("ewkMETp","ewkMETp",RooArgSet(pfmet),hEWKMetp); RooHistPdf pdfEWKp("ewkp","ewkp",pfmet,ewkMetp,1);
RooDataHist ewkMetm("ewkMETm","ewkMETm",RooArgSet(pfmet),hEWKMetm); RooHistPdf pdfEWKm("ewkm","ewkm",pfmet,ewkMetm,1);
// QCD Pdfs
CPepeModel1 qcd("qcd",pfmet);
CPepeModel1 qcdp("qcdp",pfmet);
CPepeModel1 qcdm("qcdm",pfmet);
// Signal + Background PDFs
RooAddPdf pdfMet ("pdfMet", "pdfMet", RooArgList(pdfWe,pdfEWK,*(qcd.model)), RooArgList(nSig,nEWK,nQCD));
RooAddPdf pdfMetp("pdfMetp","pdfMetp",RooArgList(pdfWep,pdfEWKp,*(qcdp.model)),RooArgList(nSigp,nEWKp,nQCDp));
RooAddPdf pdfMetm("pdfMetm","pdfMetm",RooArgList(pdfWem,pdfEWKm,*(qcdm.model)),RooArgList(nSigm,nEWKm,nQCDm));
//
// Perform fits
//
RooDataHist dataMet("dataMet", "dataMet", RooArgSet(pfmet),hDataMet);
RooFitResult *fitRes = pdfMet.fitTo(dataMet,Extended(),Minos(kTRUE),Save(kTRUE));
RooDataHist dataMetp("dataMetp","dataMetp",RooArgSet(pfmet),hDataMetp);
RooFitResult *fitResp = pdfMetp.fitTo(dataMetp,Extended(),Minos(kTRUE),Save(kTRUE));
RooDataHist dataMetm("dataMetm","dataMetm",RooArgSet(pfmet),hDataMetm);
RooFitResult *fitResm = pdfMetm.fitTo(dataMetm,Extended(),Minos(kTRUE),Save(kTRUE));
//
// Use histogram version of fitted PDFs to make ratio plots
// (Will also use PDF histograms later for Chi^2 and KS tests)
//
TH1D *hPdfMet = (TH1D*)(pdfMet.createHistogram("hPdfMet", pfmet));
hPdfMet->Scale((nSig.getVal()+nEWK.getVal()+nQCD.getVal())/hPdfMet->Integral());
TH1D *hMetDiff = makeDiffHist(hDataMet,hPdfMet,"hMetDiff");
hMetDiff->SetMarkerStyle(kFullCircle);
hMetDiff->SetMarkerSize(0.9);
TH1D *hPdfMetp = (TH1D*)(pdfMetp.createHistogram("hPdfMetp", pfmet));
hPdfMetp->Scale((nSigp.getVal()+nEWKp.getVal()+nQCDp.getVal())/hPdfMetp->Integral());
TH1D *hMetpDiff = makeDiffHist(hDataMetp,hPdfMetp,"hMetpDiff");
hMetpDiff->SetMarkerStyle(kFullCircle);
hMetpDiff->SetMarkerSize(0.9);
TH1D *hPdfMetm = (TH1D*)(pdfMetm.createHistogram("hPdfMetm", pfmet));
hPdfMetm->Scale((nSigm.getVal()+nEWKm.getVal()+nQCDm.getVal())/hPdfMetm->Integral());
TH1D *hMetmDiff = makeDiffHist(hDataMetm,hPdfMetm,"hMetmDiff");
hMetmDiff->SetMarkerStyle(kFullCircle);
hMetmDiff->SetMarkerSize(0.9);
//--------------------------------------------------------------------------------------------------------------
// Make plots
//==============================================================================================================
TCanvas *c = MakeCanvas("c","c",800,800);
c->Divide(1,2,0,0);
c->cd(1)->SetPad(0,0.3,1.0,1.0);
c->cd(1)->SetTopMargin(0.1);
c->cd(1)->SetBottomMargin(0.01);
c->cd(1)->SetLeftMargin(0.18);
c->cd(1)->SetRightMargin(0.07);
c->cd(1)->SetTickx(1);
c->cd(1)->SetTicky(1);
c->cd(2)->SetPad(0,0,1.0,0.3);
c->cd(2)->SetTopMargin(0.05);
c->cd(2)->SetBottomMargin(0.45);
c->cd(2)->SetLeftMargin(0.18);
c->cd(2)->SetRightMargin(0.07);
c->cd(2)->SetTickx(1);
c->cd(2)->SetTicky(1);
gStyle->SetTitleOffset(1.400,"Y");
char ylabel[100]; // string buffer for y-axis label
// label for lumi
char lumitext[100];
if(lumi<0.1) sprintf(lumitext,"%.1f pb^{-1} at #sqrt{s} = %i TeV",lumi*1000.,Ecm);
else sprintf(lumitext,"%.2f fb^{-1} at #sqrt{s} = %i TeV",lumi,Ecm);
// plot colors
Int_t linecolorW = kOrange-3;
Int_t fillcolorW = kOrange-2;
Int_t linecolorEWK = kOrange+10;
Int_t fillcolorEWK = kOrange+7;
Int_t linecolorQCD = kViolet+2;
Int_t fillcolorQCD = kViolet-5;
Int_t ratioColor = kGray+2;
//
// Dummy histograms for TLegend
// (I can't figure out how to properly pass RooFit objects...)
//
TH1D *hDummyData = new TH1D("hDummyData","",0,0,10);
hDummyData->SetMarkerStyle(kFullCircle);
hDummyData->SetMarkerSize(0.9);
TH1D *hDummyW = new TH1D("hDummyW","",0,0,10);
hDummyW->SetLineColor(linecolorW);
hDummyW->SetFillColor(fillcolorW);
hDummyW->SetFillStyle(1001);
TH1D *hDummyEWK = new TH1D("hDummyEWK","",0,0,10);
hDummyEWK->SetLineColor(linecolorEWK);
hDummyEWK->SetFillColor(fillcolorEWK);
hDummyEWK->SetFillStyle(1001);
TH1D *hDummyQCD = new TH1D("hDummyQCD","",0,0,10);
hDummyQCD->SetLineColor(linecolorQCD);
hDummyQCD->SetFillColor(fillcolorQCD);
hDummyQCD->SetFillStyle(1001);
//
// W MET plot
//
RooPlot *weframe = pfmet.frame(Bins(NBINS));
dataMet.plotOn(weframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
pdfMet.plotOn(weframe,FillColor(fillcolorW),DrawOption("F"));
pdfMet.plotOn(weframe,LineColor(linecolorW));
pdfMet.plotOn(weframe,Components(RooArgSet(pdfEWK,*(qcd.model))),FillColor(fillcolorEWK),DrawOption("F"));
pdfMet.plotOn(weframe,Components(RooArgSet(pdfEWK,*(qcd.model))),LineColor(linecolorEWK));
pdfMet.plotOn(weframe,Components(RooArgSet(*(qcd.model))),FillColor(fillcolorQCD),DrawOption("F"));
pdfMet.plotOn(weframe,Components(RooArgSet(*(qcd.model))),LineColor(linecolorQCD));
pdfMet.plotOn(weframe,Components(RooArgSet(pdfWe)),LineColor(linecolorW),LineStyle(2));
dataMet.plotOn(weframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hDataMet->GetBinWidth(1));
CPlot plotMet("fitmet",weframe,"","",ylabel);
plotMet.SetLegend(0.68,0.57,0.93,0.77);
plotMet.GetLegend()->AddEntry(hDummyData,"data","PL");
plotMet.GetLegend()->AddEntry(hDummyW,"W#rightarrowe#nu","F");
plotMet.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotMet.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotMet.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotMet.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
plotMet.SetYRange(0.1,1.1*(hDataMet->GetMaximum()));
// plotMet.Draw(c,kFALSE,format,1);
plotMet.Draw(c,kTRUE,format,1);
CPlot plotMetDiff("fitmet","","#slash{E}_{T} [GeV]","#chi");
plotMetDiff.AddHist1D(hMetDiff,"EX0",ratioColor);
plotMetDiff.SetYRange(-8,8);
plotMetDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotMetDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotMetDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotMetDiff.Draw(c,kTRUE,format,2);
plotMet.SetName("fitmetlog");
plotMet.SetLogy();
plotMet.SetYRange(1e-3*(hDataMet->GetMaximum()),10*(hDataMet->GetMaximum()));
plotMet.Draw(c,kTRUE,format,1);
//
// W+ MET plot
//
RooPlot *wepframe = pfmet.frame(Bins(NBINS));
dataMetp.plotOn(wepframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
pdfMetp.plotOn(wepframe,FillColor(fillcolorW),DrawOption("F"));
pdfMetp.plotOn(wepframe,LineColor(linecolorW));
pdfMetp.plotOn(wepframe,Components(RooArgSet(pdfEWKp,*(qcdp.model))),FillColor(fillcolorEWK),DrawOption("F"));
pdfMetp.plotOn(wepframe,Components(RooArgSet(pdfEWKp,*(qcdp.model))),LineColor(linecolorEWK));
pdfMetp.plotOn(wepframe,Components(RooArgSet(*(qcdp.model))),FillColor(fillcolorQCD),DrawOption("F"));
pdfMetp.plotOn(wepframe,Components(RooArgSet(*(qcdp.model))),LineColor(linecolorQCD));
pdfMetp.plotOn(wepframe,Components(RooArgSet(pdfWep)),LineColor(linecolorW),LineStyle(2));
dataMetp.plotOn(wepframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hDataMetp->GetBinWidth(1));
CPlot plotMetp("fitmetp",wepframe,"","",ylabel);
plotMetp.SetLegend(0.68,0.57,0.93,0.77);
plotMetp.GetLegend()->AddEntry(hDummyData,"data","PL");
plotMetp.GetLegend()->AddEntry(hDummyW,"W^{+}#rightarrowe^{+}#nu","F");
plotMetp.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotMetp.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotMetp.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotMetp.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
plotMetp.SetYRange(0.1,1.1*(hDataMetp->GetMaximum()));
plotMetp.Draw(c,kFALSE,format,1);
CPlot plotMetpDiff("fitmetp","","#slash{E}_{T} [GeV]","#chi");
plotMetpDiff.AddHist1D(hMetpDiff,"EX0",ratioColor);
plotMetpDiff.SetYRange(-8,8);
plotMetpDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotMetpDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotMetpDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotMetpDiff.Draw(c,kTRUE,format,2);
plotMetp.SetName("fitmetplog");
plotMetp.SetLogy();
plotMetp.SetYRange(1e-3*(hDataMetp->GetMaximum()),10*(hDataMetp->GetMaximum()));
plotMetp.Draw(c,kTRUE,format,1);
//
// W- MET plot
//
RooPlot *wemframe = pfmet.frame(Bins(NBINS));
dataMetm.plotOn(wemframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
pdfMetm.plotOn(wemframe,FillColor(fillcolorW),DrawOption("F"));
pdfMetm.plotOn(wemframe,LineColor(linecolorW));
pdfMetm.plotOn(wemframe,Components(RooArgSet(pdfEWKm,*(qcdm.model))),FillColor(fillcolorEWK),DrawOption("F"));
pdfMetm.plotOn(wemframe,Components(RooArgSet(pdfEWKm,*(qcdm.model))),LineColor(linecolorEWK));
pdfMetm.plotOn(wemframe,Components(RooArgSet(*(qcdm.model))),FillColor(fillcolorQCD),DrawOption("F"));
pdfMetm.plotOn(wemframe,Components(RooArgSet(*(qcdm.model))),LineColor(linecolorQCD));
pdfMetm.plotOn(wemframe,Components(RooArgSet(pdfWem)),LineColor(linecolorW),LineStyle(2));
dataMetm.plotOn(wemframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hDataMetm->GetBinWidth(1));
CPlot plotMetm("fitmetm",wemframe,"","",ylabel);
plotMetm.SetLegend(0.68,0.57,0.93,0.77);
plotMetm.GetLegend()->AddEntry(hDummyData,"data","PL");
plotMetm.GetLegend()->AddEntry(hDummyW,"W^{-}#rightarrowe^{-}#bar{#nu}","F");
plotMetm.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotMetm.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotMetm.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotMetm.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
plotMetm.SetYRange(0.1,1.1*(hDataMetm->GetMaximum()));
plotMetm.Draw(c,kFALSE,format,1);
CPlot plotMetmDiff("fitmetm","","#slash{E}_{T} [GeV]","#chi");
plotMetmDiff.AddHist1D(hMetmDiff,"EX0",ratioColor);
plotMetmDiff.SetYRange(-8,8);
plotMetmDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotMetmDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotMetmDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotMetmDiff.Draw(c,kTRUE,format,2);
plotMetm.SetName("fitmetmlog");
plotMetm.SetLogy();
plotMetm.SetYRange(1e-3*(hDataMetm->GetMaximum()),10*(hDataMetm->GetMaximum()));
plotMetm.Draw(c,kTRUE,format,1);
//--------------------------------------------------------------------------------------------------------------
// Output
//==============================================================================================================
cout << "*" << endl;
cout << "* SUMMARY" << endl;
cout << "*--------------------------------------------------" << endl;
//
// Write fit results
//
ofstream txtfile;
char txtfname[100];
ios_base::fmtflags flags;
Double_t chi2prob, chi2ndf;
Double_t ksprob, ksprobpe;
chi2prob = hDataMet->Chi2Test(hPdfMet,"PUW");
chi2ndf = hDataMet->Chi2Test(hPdfMet,"CHI2/NDFUW");
ksprob = hDataMet->KolmogorovTest(hPdfMet);
ksprobpe = hDataMet->KolmogorovTest(hPdfMet,"DX");
sprintf(txtfname,"%s/fitresWe.txt",CPlot::sOutDir.Data());
txtfile.open(txtfname);
assert(txtfile.is_open());
flags = txtfile.flags();
txtfile << setprecision(10);
txtfile << " *** Yields *** " << endl;
txtfile << "Selected: " << hDataMet->Integral() << endl;
txtfile << " Signal: " << nSig.getVal() << " +/- " << nSig.getPropagatedError(*fitRes) << endl;
txtfile << " QCD: " << nQCD.getVal() << " +/- " << nQCD.getPropagatedError(*fitRes) << endl;
txtfile << " Other: " << nEWK.getVal() << " +/- " << nEWK.getPropagatedError(*fitRes) << endl;
txtfile << endl;
txtfile.flags(flags);
fitRes->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
txtfile << endl;
printCorrelations(txtfile, fitRes);
txtfile << endl;
printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
txtfile.close();
chi2prob = hDataMetp->Chi2Test(hPdfMetp,"PUW");
chi2ndf = hDataMetp->Chi2Test(hPdfMetp,"CHI2/NDFUW");
ksprob = hDataMetp->KolmogorovTest(hPdfMetp);
ksprobpe = hDataMetp->KolmogorovTest(hPdfMetp,"DX");
sprintf(txtfname,"%s/fitresWep.txt",CPlot::sOutDir.Data());
txtfile.open(txtfname);
assert(txtfile.is_open());
flags = txtfile.flags();
txtfile << setprecision(10);
txtfile << " *** Yields *** " << endl;
txtfile << "Selected: " << hDataMetp->Integral() << endl;
txtfile << " Signal: " << nSigp.getVal() << " +/- " << nSigp.getPropagatedError(*fitResp) << endl;
txtfile << " QCD: " << nQCDp.getVal() << " +/- " << nQCDp.getPropagatedError(*fitResp) << endl;
txtfile << " Other: " << nEWKp.getVal() << " +/- " << nEWKp.getPropagatedError(*fitResp) << endl;
txtfile << endl;
txtfile.flags(flags);
fitResp->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
txtfile << endl;
printCorrelations(txtfile, fitResp);
txtfile << endl;
printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
txtfile.close();
chi2prob = hDataMetm->Chi2Test(hPdfMetm,"PUW");
chi2ndf = hDataMetm->Chi2Test(hPdfMetm,"CHI2/NDFUW");
ksprob = hDataMetm->KolmogorovTest(hPdfMetm);
ksprobpe = hDataMetm->KolmogorovTest(hPdfMetm,"DX");
sprintf(txtfname,"%s/fitresWem.txt",CPlot::sOutDir.Data());
txtfile.open(txtfname);
assert(txtfile.is_open());
flags = txtfile.flags();
txtfile << setprecision(10);
txtfile << " *** Yields *** " << endl;
txtfile << "Selected: " << hDataMetm->Integral() << endl;
txtfile << " Signal: " << nSigm.getVal() << " +/- " << nSigm.getPropagatedError(*fitResm) << endl;
txtfile << " QCD: " << nQCDm.getVal() << " +/- " << nQCDm.getPropagatedError(*fitResm) << endl;
txtfile << " Other: " << nEWKm.getVal() << " +/- " << nEWKm.getPropagatedError(*fitResm) << endl;
txtfile << endl;
txtfile.flags(flags);
fitResm->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
txtfile << endl;
printCorrelations(txtfile, fitResm);
txtfile << endl;
printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
txtfile.close();
makeHTML(outputDir);
cout << endl;
cout << " <> Output saved in " << outputDir << "/" << endl;
cout << endl;
gBenchmark->Show("fitWe");
}
void plotBalance(int cbin,
TString infname,
TString pythia,
TString mix,
bool drawXLabel,
bool drawLeg)
{
bool showPbPb = 0;
if(iPlot == 0 || iPlot == 3) showPbPb = 1;
if(iPlot != 3) dijet = dijet&&deltaPhi;
TCut centHF("");
TCut centNtrk("");
if(centMode == 0){
cout<<"Obsolete centrality usage."<<endl;
return;
if(cbin==0) centHF = "bin>=20 && bin<26";
if(cbin==1) centHF = "bin>=26 && bin<27";
if(cbin==2) centHF = "bin>=27 && bin<28";
if(cbin==3) centHF = "bin>=28 && bin<29";
if(cbin==4) centHF = "bin>=29 && bin<31";
if(cbin==5) centHF = "bin>=31";
if(cbin==0) centNtrk = "ntrk >= 180";
if(cbin==1) centNtrk = "150 <= ntrk && ntrk < 180";
if(cbin==2) centNtrk = "110 <= ntrk && ntrk < 150";
if(cbin==3) centNtrk = "90 <= ntrk && ntrk < 150";
if(cbin==4) centNtrk = "60 <= ntrk && ntrk < 90";
if(cbin==5) centNtrk = "ntrk < 60";
}
if(centMode == 1){
centHF = hfPlusBins[cbin];
centNtrk = centHF;
}
cout<<"plotting ntrk bin : "<<cbin<<endl;
// open the data file
if(iPlot > 100) entryMode = 1;
string treeName = "ntdijet";
string wName = "ntw";
if(entryMode == 1){
treeName = "ntjet";
wName = "ntjetw";
}
if(entryMode == 2){
treeName = "nttrk";
wName = "nttrkw";
}
TFile *inf = new TFile(infname.Data());
TTree *nt =(TTree*)inf->FindObjectAny(treeName.data());
TTree *ntevt =(TTree*)inf->FindObjectAny("ntevt");
if(entryMode < 1) nt->AddFriend(ntevt);
// open the pythia (MC) file
TFile *infReference = new TFile(pythia.Data());
TTree *ntReference;
TTree *ntevtReference;
ntReference = (TTree*) infReference->FindObjectAny(treeName.data());
ntevtReference = (TTree*) infReference->FindObjectAny("ntevt");
if(entryMode < 1) ntReference->AddFriend(ntevtReference);
// open the datamix file
TFile *infMix = new TFile(mix.Data());
TTree *ntMix =(TTree*)infMix->FindObjectAny(treeName.data());
TTree *ntevtMix =(TTree*)infMix->FindObjectAny("ntevt");
// TFile *infW = new TFile("weights_hydjet.root");
// TTree *ntw =(TTree*)infW->FindObjectAny("ntw");
TTree *ntw =(TTree*)infMix->FindObjectAny(wName.data());
ntMix->AddFriend(ntw);
if(entryMode < 1) ntMix->AddFriend(ntevtMix);
int Nbin = 10;
double max = 1.;
double min = 0;
if(iPlot == 1 || iPlot == 21 || iPlot == 22){
Nbin = 20;
max = 2;
min = -2;
};
if(iPlot == 3){
Nbin = 30;
max = pi;
};
if(iPlot == 8){
Nbin = 50;
max = 25;
min = -25;
};
if(iPlot == 9){
Nbin = 50;
max = 250;
};
if(iPlot == 11 || iPlot == 12){
Nbin = 50;
max = 25;
};
if(iPlot == 13 || iPlot == 14){
Nbin = 75;
max = 150;
}
if(iPlot == 101){
Nbin = 20;
max = 2;
min = -2;
}
// projection histogram
TH1D *h = new TH1D(Form("h",cbin),"",Nbin,min,max);
TH1D *hReference = new TH1D(Form("hReference",cbin),"",Nbin,min,max);
TH1D *hDataMix = new TH1D(Form("hDataMix",cbin),"",Nbin,min,max);
TH1D *hB = new TH1D(Form("hB",cbin),"",Nbin,min,max);
TH1D *hReferenceB = new TH1D(Form("hReferenceB",cbin),"",Nbin,min,max);
TH1D *hDataMixB = new TH1D(Form("hDataMixB",cbin),"",Nbin,min,max);
TH1D *hFull = new TH1D("hFull","",Nbin,min,max);
TH1D *hReferenceFull = new TH1D("hReferenceFull","",Nbin,min,max);
TH1D *hDataMixFull = new TH1D("hDataMixFull","",Nbin,min,max);
TH1D* hNorm = new TH1D("hNorm","",1000,0,1000);
TH1D* hNormReference = new TH1D("hNormReference","",1000,0,1000);
TH1D* hNormDataMix = new TH1D("hNormDataMix","",1000,0,1000);
hB->SetLineStyle(2);
hReferenceB->SetLineStyle(2);
hDataMixB->SetLineStyle(2);
// ntReference->SetAlias("pt1","et1");
// ntReference->SetAlias("pt2","et2");
nt->SetAlias("pt1","jtpt1");
nt->SetAlias("pt2","jtpt2");
nt->SetAlias("eta1","jteta1");
nt->SetAlias("eta2","jteta2");
nt->SetAlias("phi1","jtphi1");
nt->SetAlias("phi2","jtphi2");
ntMix->SetAlias("pt1","jtpt1");
ntMix->SetAlias("pt2","jtpt2");
ntMix->SetAlias("eta1","jteta1");
ntMix->SetAlias("eta2","jteta2");
ntMix->SetAlias("phi1","jtphi1");
ntMix->SetAlias("phi2","jtphi2");
ntReference->SetAlias("pt1","jtpt1");
ntReference->SetAlias("pt2","jtpt2");
ntReference->SetAlias("eta1","jteta1");
ntReference->SetAlias("eta2","jteta2");
ntReference->SetAlias("phi1","jtphi1");
ntReference->SetAlias("phi2","jtphi2");
nt->SetAlias("cent","hfp");
ntMix->SetAlias("cent","hfp");
ntReference->SetAlias("cent","hfp");
nt->SetAlias("dphi","acos(cos(phi1-phi2))");
ntMix->SetAlias("dphi","acos(cos(phi1-phi2))");
ntReference->SetAlias("dphi","acos(cos(phi1-phi2))");
if(iPlot == 0){
nt->SetAlias("var","pt2/pt1");
ntReference->SetAlias("var","pt2/pt1");
ntMix->SetAlias("var","pt2/pt1");
}
if(iPlot == 1){
nt->SetAlias("var","(eta1+eta2)/2");
ntReference->SetAlias("var","(eta1+eta2)/2");
ntMix->SetAlias("var","(eta1+eta2)/2");
}
if(iPlot == 3){
nt->SetAlias("var","acos(cos(phi1-phi2))");
ntReference->SetAlias("var","acos(cos(phi1-phi2))");
ntMix->SetAlias("var","acos(cos(phi1-phi2))");
}
if(iPlot == 8){
nt->SetAlias("var","pu1-pu2");
ntReference->SetAlias("var","pu1-pu2");
ntMix->SetAlias("var","pu1-pu2");
}
if(iPlot == 11){
nt->SetAlias("var","pu1");
ntReference->SetAlias("var","pu1");
ntMix->SetAlias("var","pu1");
}
if(iPlot == 12){
nt->SetAlias("var","pu2");
ntReference->SetAlias("var","pu2");
ntMix->SetAlias("var","pu2");
}
if(iPlot == 13){
nt->SetAlias("var","trkMax1");
ntReference->SetAlias("var","trkMax1");
ntMix->SetAlias("var","trkMax1");
}
if(iPlot == 14){
nt->SetAlias("var","trkMax2");
ntReference->SetAlias("var","trkMax2");
ntMix->SetAlias("var","trkMax2");
}
if(iPlot == 9){
nt->SetAlias("var","ntrk");
ntReference->SetAlias("var","ntrk");
ntMix->SetAlias("var","ntrk");
}
if(iPlot == 21){
nt->SetAlias("var","eta1");
ntReference->SetAlias("var","eta1");
ntMix->SetAlias("var","eta1");
}
if(iPlot == 22){
nt->SetAlias("var","eta2");
ntReference->SetAlias("var","eta2");
ntMix->SetAlias("var","eta2");
}
if(iPlot == 101){
nt->SetAlias("var","eta");
ntReference->SetAlias("var","eta");
ntMix->SetAlias("var","eta");
}
if(iPlot == 51){
nt->SetAlias("var","matchPt1/pt1");
ntReference->SetAlias("var","matchPt1/pt1");
ntMix->SetAlias("var","matchPt1/pt1");
}
if(iPlot == 52){
nt->SetAlias("var","matchPt2/pt2");
ntReference->SetAlias("var","matchPt2/pt2");
ntMix->SetAlias("var","matchPt2/pt2");
}
nt->Draw("var>>hFull",dijet&&noise&&jetID&¢HF&&vtx);
nt->Draw("var>>hB",side&&noise&&jetID&¢HF&&vtx);
nt->Draw("pt1>>hNorm",lead&&noise&&jetID&¢HF&&vtx);
ntMix->Draw("var>>hDataMixFull",weight*(dijet&&jetID&¢HF&&vtx));
ntMix->Draw("var>>hDataMixB",weight*(side&&jetID&¢HF&&vtx));
ntMix->Draw("pt1>>hNormDataMix",weight*(lead&&jetID&¢HF&&vtx));
ntReference->Draw("var>>hReferenceFull",dijet&&noise&&jetID&¢HF&&vtx);
ntReference->Draw("var>>hReferenceB",side&&noise&&jetID&¢HF&&vtx);
ntReference->Draw("pt1>>hNormReference",lead&&noise&&jetID&¢HF&&vtx);
hDataMix->Add(hDataMixFull);
h->Add(hFull);
hReference->Add(hReferenceFull);
if(subtract){
hDataMix->Add(hDataMixB,-1);
h->Add(hB,-1);
hReference->Add(hReferenceB,-1);
}
hB->SetFillStyle(3005);
hB->SetFillColor(15);
// calculate the statistical error and normalize
h->SetLineColor(dataColor);
h->SetMarkerColor(dataColor);
h->Sumw2();
if(normLead){
h->Scale(1./hNorm->Integral());
hB->Scale(1./hNorm->Integral());
}else{
hB->Scale(1./h->Integral());
h->Scale(1./h->Integral());
}
h->SetMarkerStyle(20);
if(hReference->Integral() > 0){
hReference->Scale(1./hNormReference->Integral());
}
hReference->SetLineColor(kBlue);
hReference->SetFillColor(kAzure-8);
hReference->SetFillStyle(3005);
if(normLead){
hDataMixB->Scale(1./hNormDataMix->Integral());
hDataMix->Scale(1./hNormDataMix->Integral());
}else{
hDataMixB->Scale(1./hDataMix->Integral());
hDataMix->Scale(1./hDataMix->Integral());
}
hDataMix->SetLineColor(mixColor);
hDataMix->SetFillColor(mixColor);
hDataMix->SetFillStyle(3004);
hDataMix->SetMarkerSize(0);
hDataMix->SetStats(0);
hDataMix->GetXaxis()->SetLabelSize(22);
hDataMix->GetXaxis()->SetLabelFont(43);
hDataMix->GetXaxis()->SetTitleSize(28);
hDataMix->GetXaxis()->SetTitleFont(43);
hDataMix->GetXaxis()->SetTitleOffset(2.2);
hDataMix->GetXaxis()->CenterTitle();
hDataMix->GetYaxis()->SetLabelSize(22);
hDataMix->GetYaxis()->SetLabelFont(43);
hDataMix->GetYaxis()->SetTitleSize(28);
hDataMix->GetYaxis()->SetTitleFont(43);
hDataMix->GetYaxis()->SetTitleOffset(2.2);
hDataMix->GetYaxis()->CenterTitle();
if(drawXLabel) hDataMix->SetXTitle("A_{J} = (p_{T,1}-p_{T,2})/(p_{T,1}+p_{T,2})");
hDataMix->SetYTitle("Event Fraction");
if(iPlot==1) hDataMix->SetXTitle("#eta_{dijet} = (#eta_{1}+#eta_{2})/2");
if(iPlot==21) hDataMix->SetXTitle("#eta_{1}");
if(iPlot==22) hDataMix->SetXTitle("#eta_{2}");
if(iPlot==8) hDataMix->SetXTitle("p_{T,1}^{background}-p_{T,2}^{background}");
if(iPlot==9) hDataMix->SetXTitle("N_{trk}^{offline}");
if(iPlot==11) hDataMix->SetXTitle("p_{T,1}^{background}");
if(iPlot==12) hDataMix->SetXTitle("p_{T,2}^{background}");
if(iPlot==13) hDataMix->SetXTitle("p_{T} leading track in leading jet");
if(iPlot==14) hDataMix->SetXTitle("p_{T} leading track in subleading jet");
if(drawXLabel){
if(iPlot==0) hDataMix->SetXTitle("p_{T,2}/p_{T,1}");
if(iPlot==3) hDataMix->SetXTitle("#Delta #phi_{1,2}");
}
if(iPlot==0) hDataMix->SetMaximum(0.32);
if(iPlot == 1 || iPlot==21 || iPlot==22){
hDataMix->SetMaximum(0.3);
hDataMix->SetMinimum(0);
}
if(iPlot==3){
hDataMix->SetMaximum(2.52);
hDataMix->SetMinimum(0.00004);
}
if(iPlot==8){
hDataMix->SetMaximum(10);
hDataMix->SetMinimum(0.00004);
}
if(iPlot==9){
hDataMix->SetMaximum(0.15);
hDataMix->SetMinimum(0.);
}
if(iPlot==11 || iPlot == 12){
hDataMix->SetMaximum(10);
hDataMix->SetMinimum(0.00004);
}
//hDataMix->GetXaxis()->SetNdivisions(905,true);
hDataMix->GetYaxis()->SetNdivisions(505,true);
hReference->SetMarkerColor(ppColor);
hReference->SetLineColor(ppColor);
hReference->SetMarkerStyle(25);
hDataMix->Draw();//"hist");
hDataMix->Draw("hist same");
if(showPbPb) hReference->Draw("same");
cout<<"PbPb ENTRIES : "<<endl;
cout<<hReference->GetEntries()<<endl;
cout<<"PbPb integral : "<<endl;
cout<<hReference->Integral()<<endl;
cout<<"pPb integral : "<<endl;
cout<<h->Integral()<<endl;
cout<<"Mix integral : "<<endl;
cout<<hDataMix->Integral()<<endl;
h->SetLineWidth(1);
h->Draw("same");
h->SetLineWidth(2);
h->Draw("same");
// hDataMixB->Draw("same hist");
// hB->Draw("same hist");
cout<<" mean value of data "<<h->GetMean()<<endl;
if(drawLeg){
TLegend *t3=new TLegend(0.01,0.7,0.3,0.95);
t3->AddEntry(h,"pPb #sqrt{s}=5.02 TeV","p");
if(showPbPb) t3->AddEntry(hReference,"PbPb #sqrt{s}=2.76 TeV","p");
t3->AddEntry(hDataMix,"PYTHIA+HIJING","lf");
t3->SetFillColor(0);
t3->SetBorderSize(0);
t3->SetFillStyle(0);
t3->SetTextFont(63);
t3->SetTextSize(15);
t3->Draw();
}
}
void MatchComparison()
{
//
// Initialize AliRun manager
//
//
// Initialize run loader and load Kinematics
//
AliRunLoader *runLoader = AliRunLoader::Open("galice.root");
if (!runLoader) return;
runLoader->LoadgAlice();
gAlice = runLoader->GetAliRun();
runLoader->LoadKinematics();
//
// Initialize histograms with their error computation
//
TH1D *hgood = new TH1D("hgood", "Well matched tracks", 40, 0.0, 40.0);
TH1D *hfake = new TH1D("hfake", "Fake matched tracks", 40, 0.0, 40.0);
TH1D *htrue = new TH1D("htrue", "True matches" , 40, 0.0, 40.0);
TH1D *hfound = new TH1D("hfound","Found matches" , 40, 0.0, 40.0);
hgood->Sumw2();
hfake->Sumw2();
htrue->Sumw2();
hfound->Sumw2();
//
// Open file containing true matches,
// retrieve the Tree and link to a cursor.
//
TFile *fileTrue = TFile::Open("true-matches.root");
match_t trueMatch;
//
// Open file of found matches,
// link the modified ESD container.
//
TFile *fileFound = TFile::Open("matchESD.root");
TTree *treeFound = (TTree*)fileFound->Get("esdTree");
AliESDEvent* esd = new AliESDEvent();
esd->ReadFromTree(treeFound);
Long64_t nEvents = treeFound->GetEntries();
//
// Loop on all events
//
Int_t im, it, ic, nTrueMatches, nTracks;
Int_t label, trkLabel, cluLabel;
for (Long64_t iev = 0; iev < nEvents; iev++) {
// get true matches tree of given event
TTree *treeTrue = (TTree*)fileTrue->Get(Form("tm_%d", iev));
treeTrue->SetBranchAddress("matches", &trueMatch);
nTrueMatches = treeTrue->GetEntries();
// set TTree pointers to selected event
runLoader->GetEvent(iev);
treeFound->GetEntry(iev);
AliStack *stack = runLoader->Stack();
nTracks = esd->GetNumberOfTracks();
// read all true pairs
for (im = 0; im < nTrueMatches; im++) {
treeTrue->GetEntry(im);
AliESDtrack *track = esd->GetTrack(trueMatch.indexT);
if (!track) continue;
label = TMath::Abs(track->GetLabel());
TParticle *p = stack->Particle(label);
htrue->Fill(p->Pt());
cout <<"filling true"<< endl;
}
// compare found matches
for (Int_t it = 0; it < nTracks; it++) {
AliESDtrack *track = esd->GetTrack(it);
ic = track->GetEMCALcluster();
if (ic == AliEMCALTracker::kUnmatched) continue;
ic = TMath::Abs(ic);
AliESDCaloCluster *cl = esd->GetCaloCluster(ic);
if (!cl) continue;
if (!cl->IsEMCAL()) continue ;
trkLabel = TMath::Abs(track->GetLabel());
cluLabel = cl->GetLabel();
if (trkLabel == cluLabel && trkLabel >= 0) {
TParticle *p = stack->Particle(TMath::Abs(trkLabel));
hgood->Fill(p->Pt());
hfound->Fill(p->Pt());
cout <<"filling GOOD, pt:" << p->Pt()<< endl;
}
else {
TParticle *p = stack->Particle(TMath::Abs(trkLabel));
hfake->Fill(p->Pt());
hfound->Fill(p->Pt());
cout <<"filling FAKE" << endl;
}
}
}
cout << "True matches : " << htrue->GetEntries() << endl;
cout << "Found matches: " << hfound->GetEntries() << endl;
cout << "Good matches : " << hgood->GetEntries() << endl;
cout << "Fake matches : " << hfake->GetEntries() << endl;
TFile *fout = TFile::Open("match-comparison.root", "RECREATE");
hgood->Write();
hfake->Write();
htrue->Write();
hfound->Write();
fout->Close();
}
void limit() {
//This program demonstrates the computation of 95 % C.L. limits.
//It uses a set of randomly created histograms.
//
//Author: [email protected] on 21.08.02
// Create a new canvas.
TCanvas *c1 = new TCanvas("c1","Dynamic Filling Example",200,10,700,500);
c1->SetFillColor(42);
// Create some histograms
TH1D* background = new TH1D("background","The expected background",30,-4,4);
TH1D* signal = new TH1D("signal","the expected signal",30,-4,4);
TH1D* data = new TH1D("data","some fake data points",30,-4,4);
background->SetFillColor(48);
signal->SetFillColor(41);
data->SetMarkerStyle(21);
data->SetMarkerColor(kBlue);
background->Sumw2(); // needed for stat uncertainty
signal->Sumw2(); // needed for stat uncertainty
// Fill histograms randomly
TRandom2 r;
Float_t bg,sig,dt;
for (Int_t i = 0; i < 25000; i++) {
bg = r.Gaus(0,1);
sig = r.Gaus(1,.2);
background->Fill(bg,0.02);
signal->Fill(sig,0.001);
}
for (Int_t i = 0; i < 500; i++) {
dt = r.Gaus(0,1);
data->Fill(dt);
}
THStack *hs = new THStack("hs","Signal and background compared to data...");
hs->Add(background);
hs->Add(signal);
hs->Draw("hist");
data->Draw("PE1,Same");
c1->Modified();
c1->Update();
c1->GetFrame()->SetFillColor(21);
c1->GetFrame()->SetBorderSize(6);
c1->GetFrame()->SetBorderMode(-1);
c1->Modified();
c1->Update();
gSystem->ProcessEvents();
// Compute the limits
cout << "Computing limits... " << endl;
TLimitDataSource* mydatasource = new TLimitDataSource(signal,background,data);
TConfidenceLevel *myconfidence = TLimit::ComputeLimit(mydatasource,50000);
cout << "CLs : " << myconfidence->CLs() << endl;
cout << "CLsb : " << myconfidence->CLsb() << endl;
cout << "CLb : " << myconfidence->CLb() << endl;
cout << "< CLs > : " << myconfidence->GetExpectedCLs_b() << endl;
cout << "< CLsb > : " << myconfidence->GetExpectedCLsb_b() << endl;
cout << "< CLb > : " << myconfidence->GetExpectedCLb_b() << endl;
// Add stat uncertainty
cout << endl << "Computing limits with stat systematics... " << endl;
TConfidenceLevel *mystatconfidence = TLimit::ComputeLimit(mydatasource,50000,true);
cout << "CLs : " << mystatconfidence->CLs() << endl;
cout << "CLsb : " << mystatconfidence->CLsb() << endl;
cout << "CLb : " << mystatconfidence->CLb() << endl;
cout << "< CLs > : " << mystatconfidence->GetExpectedCLs_b() << endl;
cout << "< CLsb > : " << mystatconfidence->GetExpectedCLsb_b() << endl;
cout << "< CLb > : " << mystatconfidence->GetExpectedCLb_b() << endl;
// Add some systematics
cout << endl << "Computing limits with systematics... " << endl;
TVectorD errorb(2);
TVectorD errors(2);
TObjArray* names = new TObjArray();
TObjString name1("bg uncertainty");
TObjString name2("sig uncertainty");
names->AddLast(&name1);
names->AddLast(&name2);
errorb[0]=0.05; // error source 1: 5%
errorb[1]=0; // error source 2: 0%
errors[0]=0; // error source 1: 0%
errors[1]=0.01; // error source 2: 1%
TLimitDataSource* mynewdatasource = new TLimitDataSource();
mynewdatasource->AddChannel(signal,background,data,&errors,&errorb,names);
TConfidenceLevel *mynewconfidence = TLimit::ComputeLimit(mynewdatasource,50000,true);
cout << "CLs : " << mynewconfidence->CLs() << endl;
cout << "CLsb : " << mynewconfidence->CLsb() << endl;
cout << "CLb : " << mynewconfidence->CLb() << endl;
cout << "< CLs > : " << mynewconfidence->GetExpectedCLs_b() << endl;
cout << "< CLsb > : " << mynewconfidence->GetExpectedCLsb_b() << endl;
cout << "< CLb > : " << mynewconfidence->GetExpectedCLb_b() << endl;
// show canonical -2lnQ plots in a new canvas
// - The histogram of -2lnQ for background hypothesis (full)
// - The histogram of -2lnQ for signal and background hypothesis (dashed)
TCanvas *c2 = new TCanvas("c2");
myconfidence->Draw();
// clean up (except histograms and canvas)
delete myconfidence;
delete mydatasource;
delete mystatconfidence;
delete mynewconfidence;
delete mynewdatasource;
}
void MVA_allsrcComp()
{
//InpFile = new TFile("../srcbatch/scTTMuon/TTsemiMuon.root");
//InpFile = new TFile("../srcbatch/scTTElectron/TTsemiElectron.root");
//InpFile = new TFile("../srcbatch/MonoJet_MET/MonoJet.root");
InpFile = new TFile("../srcbatch/mSUGRA_MET/mSUGRA.root");
//InpFile = new TFile("../srcbatch/scTT2Hadron/TT2Hadron.root");
//InpFile = new TFile("../srcbatch/scWToENu/WToENu.root");
//InpFile = new TFile("../srcbatch/scWToMuNu/WToMuNu.root");
//InpFile = new TFile("../srcbatch/scDYElEl/DYElEl.root");
//InpFile = new TFile("../srcbatch/scDYMuMu/DYMuMu.root");
//InpFile = new TFile("../srcbatch/scZZ4Mu/ZZ4Mu.root");
//InpFile = new TFile("../srcbatch/scZZ4El/ZZ4El.root");
//InpFile = new TFile("../srcbatch/scZZMuEl/ZZMuEl.root");
//InpFile = new TFile("../srcbatch/ZZ2Mu2Nu_MET/ZZ2Mu2Nu.root");
//InpFile = new TFile("../srcbatch/ZZ2El2Nu_MET/ZZ2El2Nu.root");
//InpFile = new TFile("../srcbatch/scWW/WW.root");
//InpFile = new TFile("../srcbatch/scWZ/WZ.root");
//InpFile = new TFile("../srcbatch/scMonoPhoton/MonoPhoton.root");
//InpFileall = new TFile("../allbatch/TTsemiMuon_MET/TTsemiMuon.root");
//InpFileall = new TFile("../allbatch/TTsemiElectron_MET/TTsemiElectron.root");
//InpFileall = new TFile("../allbatch/MonoJet_MET/MonoJet.root");
InpFileall = new TFile("../allbatch/mSUGRA_MET/mSUGRA.root");
//InpFileall = new TFile("../allbatch/TT2Hadron_MET/TT2Hadron.root");
//InpFileall = new TFile("../allbatch/WToENu_MET/WToENu.root");
//InpFileall = new TFile("../allbatch/WToMuNu_MET/WToMuNu.root");
//InpFileall = new TFile("../allbatch/DYElEl_MET/DYElEl.root");
//InpFileall = new TFile("../allbatch/DYMuMu_MET/DYMuMu.root");
//InpFileall = new TFile("../allbatch/ZZ4Mu_MET/ZZ4Mu.root");
//InpFileall = new TFile("../allbatch/ZZ4El_MET/ZZ4El.root");
//InpFileall = new TFile("../allbatch/ZZMuEl_MET/ZZMuEl.root");
//InpFileall = new TFile("../allbatch/ZZ2Mu2Nu_MET/ZZ2Mu2Nu.root");
//InpFileall = new TFile("../allbatch/ZZ2El2Nu_MET/ZZ2El2Nu.root");
//InpFileall = new TFile("../allbatch/WW_MET/WW.root");
//InpFileall = new TFile("../allbatch/WZ_MET/WZ.root");
//InpFileall = new TFile("../allbatch/MonoPhoton_MET/MonoPhoton.root");
char ylabel[100];
char histName[100];
char histName_org[100];
TH1D *pfMet;
TH1D *NoPUmet;
TH1D *MVAmet;
TH1D *NoPUmetall;
TH1D *MVAmetall;
sprintf(histName,"pfMet");
sprintf(histName_org,"pfMET_0");
pfMet =(TH1D*)InpFile->Get(histName_org)->Clone(histName);pfMet->Sumw2();
sprintf(histName,"NoPUmet");
sprintf(histName_org,"NoPuMET_0");
NoPUmet =(TH1D*)InpFile->Get(histName_org)->Clone(histName);NoPUmet->Sumw2();
sprintf(histName,"NoPUmetall");
sprintf(histName_org,"NoPuMET_0");
NoPUmetall =(TH1D*)InpFileall->Get(histName_org)->Clone(histName);NoPUmetall->Sumw2();
sprintf(histName,"MVAmet");
sprintf(histName_org,"MVaMET_0");
MVAmet =(TH1D*)InpFile->Get(histName_org)->Clone(histName);MVAmet->Sumw2();
sprintf(histName,"MVAmetall");
sprintf(histName_org,"MVaMET_0");
MVAmetall =(TH1D*)InpFileall->Get(histName_org)->Clone(histName);MVAmetall->Sumw2();
pfMet->SetLineWidth(2);
pfMet->SetLineColor(kBlack);
pfMet->SetMarkerStyle(26);
pfMet->SetMarkerColor(kBlack);
NoPUmet->SetLineWidth(2);
NoPUmet->SetLineColor(kRed);
NoPUmet->SetMarkerStyle(kFullCircle);
NoPUmet->SetMarkerColor(kRed);
NoPUmetall->SetLineWidth(2);
NoPUmetall->SetLineColor(kRed);
NoPUmetall->SetMarkerStyle(kCircle);
NoPUmetall->SetMarkerColor(kRed);
MVAmet->SetLineWidth(2);
MVAmet->SetLineColor(kBlue);
MVAmet->SetMarkerStyle(kFullSquare);
MVAmet->SetMarkerColor(kBlue);
MVAmetall->SetLineWidth(2);
MVAmetall->SetLineColor(kBlue);
MVAmetall->SetMarkerStyle(25);
MVAmetall->SetMarkerColor(kBlue);
sprintf(ylabel,"MET-genMEtTrue",MVAmet->GetBinWidth(1));
MVAmet->GetYaxis()->SetTitle(ylabel);
MVAmet->GetYaxis()->SetTitleOffset(1.2);
MVAmet->GetYaxis()->SetTitleSize(0.04);
MVAmet->GetYaxis()->SetLabelSize(0.04);
MVAmet->GetXaxis()->SetTitle("genMEt");
MVAmet->GetXaxis()->SetTitleOffset(1.0);
//MVAmet->GetXaxis()->SetTitleSize(0.13);
//MVAmet->GetYaxis()->SetRangeUser(-15,30);//WJet TTsemiPU012
//MVAmet->GetYaxis()->SetRangeUser(-25,30);// TTsemiPU3
//MVAmet->GetYaxis()->SetRangeUser(-20,30);//WW
//MVAmet->GetYaxis()->SetRangeUser(-5,20);//WZ 1
//MVAmet->GetYaxis()->SetRangeUser(-15,25);//WZ 0,2
//MVAmet->GetYaxis()->SetRangeUser(-20,35);//WZ 3
//MVAmet->GetYaxis()->SetRangeUser(-15,30);//W
//MVAmet->GetYaxis()->SetRangeUser(-20,30);//W muon3
//MVAmet->GetYaxis()->SetRangeUser(-20,55);//ZZ4El
//MVAmet->GetYaxis()->SetRangeUser(-25,55);//ZZ4Mu012
//MVAmet->GetYaxis()->SetRangeUser(-25,65);//ZZ4Mu3
//MVAmet->GetYaxis()->SetRangeUser(-70,70);//ZZMuEl 1
//MVAmet->GetYaxis()->SetRangeUser(-30,40);//ZZMuEl 0 2
//MVAmet->GetYaxis()->SetRangeUser(-50,50);//ZZMuEl 3
//MVAmet->GetYaxis()->SetRangeUser(-30,30);//ZZ2El2Nu 0 2
//MVAmet->GetYaxis()->SetRangeUser(-50,70);//ZZ2El2Nu 3
//MVAmet->GetYaxis()->SetRangeUser(-30,60);//ZZ2El2Nu 1
//MVAmet->GetYaxis()->SetRangeUser(-20,30);//DY 012
//MVAmet->GetYaxis()->SetRangeUser(-30,60);//DYmuon1
//MVAmet->GetYaxis()->SetRangeUser(-40,70);//DYele3
//MVAmet->GetYaxis()->SetRangeUser(-50,85);//DYmuon3
//MVAmet->GetYaxis()->SetRangeUser(-10,35);//TThadron
//MVAmet->GetYaxis()->SetRangeUser(0,700);//monoJet
MVAmet->GetYaxis()->SetRangeUser(-90,80);//mSUGRA 0
//MVAmet->GetYaxis()->SetRangeUser(-130,110);//mSUGRA 1
//MVAmet->GetYaxis()->SetRangeUser(-80,80);//mSUGRA 2
//MVAmet->GetYaxis()->SetRangeUser(-140,130);//mSUGRA 3
//MVAmet->GetYaxis()->SetRangeUser(-50,1000);//monoPhoton0
//MVAmet->GetYaxis()->SetRangeUser(-50,1300);//monoPhoton2
//MVAmet->GetYaxis()->SetRangeUser(-50,750);//monoPhoton13
//MVAmet->GetXaxis()->SetRangeUser(0,75);//X-axis 80
TCanvas c1("c1","c1",800,700);
gStyle->SetOptTitle(0);
MVAmet->Draw("E1");
pfMet->Draw("E1 same");
NoPUmet->Draw("E1 same");
MVAmetall->Draw("E1 same");
NoPUmetall->Draw("E1 same");
TLegend *rL =new TLegend(0.55,0.68,0.99,0.95);
rL->SetFillColor(0); rL->SetBorderSize(0);
rL->AddEntry(pfMet,"pfMet","PL");
rL->AddEntry(NoPUmet,"NoPU_wSrcLept","PL");
rL->AddEntry(NoPUmetall,"NoPU_wAllSrcLept","PL");
rL->AddEntry(MVAmet,"MVA_wSrcLept","PL");
rL->AddEntry(MVAmetall,"MVA_wAllSrcLept","PL");
rL->Draw();
//midile line
//TLine line(0,0,200,0);//TTsemi
//TLine line(0,0,300,0);//ZZ2Lept2Nu
//TLine line(0,0,100,0);
TLine line(0,0,1500,0);//mSUGRA
//TLine line(0,0,80,0);//ZZ4Mu ZZMuEl MonoPhoton
line->Draw();
//All 0To7 7To21 21To
//sprintf(histName,"muonTTJetsemiLept_PURange_All.png");
//sprintf(histName,"electronTTJetsemiLept_PURange_All.png");
//sprintf(histName,"monoJet_PURange_All.png");
sprintf(histName,"mSUGRA_PURange_All.png");
//sprintf(histName,"hadronTT2hadron_PURange_All.png");
//sprintf(histName,"electronWToENu_PURange_All.png");
//sprintf(histName,"muonWToMuNu_PURange_All.png");
//sprintf(histName,"electronDYElEl_PURange_All.png");
//sprintf(histName,"muonDYMuNu_PURange_All.png");
//sprintf(histName,"ZZ4Mu_PURange_All.png");
//sprintf(histName,"ZZ4El_PURange_All.png");
//sprintf(histName,"ZZ2Mu2El_PURange_All.png");
//sprintf(histName,"ZZ2Mu2Nu_PURange_All.png");
//sprintf(histName,"ZZ2El2Nu_PURange_All.png");
//sprintf(histName,"WW_PURange_All.png");
//sprintf(histName,"WZ_PURange_All.png");
//sprintf(histName,"monoPhoton_PURange_All.png");
c1.SaveAs(histName);
}
void PhotTaggTime( UInt_t ebin = 8, Bool_t print = kFALSE)
{
UInt_t i, chan_lo, chan_hi, bin_lo, bin_hi;
UInt_t prompt[2], acc[4];
Double_t yy, ym, y1, y2;
Double_t energy, temin, temax;
TString name;
TFile* file;
gROOT->ProcessLine( ".L ReadParams.C");
ReadTagEng( "xs/tageng855.dat");
// Middle channel bin and bin limits
i = tchan[ebin];
chan_lo = i-2;
chan_hi = i+2;
file = full;
energy = WeightedPar( file, "energy", chan_lo, chan_hi);
temin = tcd[chan_hi].energy - tcd[chan_hi].denergy;
temax = tcd[chan_lo].energy + tcd[chan_lo].denergy;
gStyle->SetOptStat( 0);
prompt[0] = 92;
prompt[1] = 106;
acc[0] = 20;
acc[1] = 80;
acc[2] = 118;
acc[3] = 178;
TCanvas *c1 = new TCanvas ( "c1", "Canvas", 200, 0, 1200, 500);
c1->Divide( 3,1);
// Phot Tagger Time
c1->cd( 1);
name = "COMP_PhotTaggTime_v_TChanHit";
TH2D *h2D = (TH2D*)full.Get( name);
bin_lo = h2D->GetXaxis()->FindBin( chan_lo);
bin_hi = h2D->GetXaxis()->FindBin( chan_hi);
TH1D *h1 = h2D->ProjectionY( "PhotTaggTime", bin_lo, bin_hi);
name = Form( " E_{#gamma} = %5.1f (%5.1f - %5.1f) MeV", energy, temin,
temax);
h1->SetTitle( name);
h1->SetLineWidth(2);
h1->GetXaxis()->SetTitleOffset( 1.1);
h1->GetYaxis()->SetTitleOffset( 1.3);
h1->GetXaxis()->SetTitle( "Photon - Tagger Time (ns)");
h1->GetYaxis()->SetTitle( "Counts");
h1->GetXaxis()->SetLabelSize( 0.03);
h1->GetYaxis()->SetLabelSize( 0.03);
h1->GetXaxis()->CenterTitle();
h1->GetYaxis()->CenterTitle();
h1->Draw();
h1->SetMinimum( 0);
yy = h1->GetMaximum();
ym = yy*1.05;
h1->SetMaximum( ym);
y1 = yy*0.9;
y2 = yy;
l1 = new TLine( prompt[0], 0,prompt[0], ym);
l1->SetLineWidth(3);
l1->Draw();
l2 = new TLine( prompt[1], 0,prompt[1], ym);
l2->SetLineWidth(3);
l2->Draw();
l3 = new TLine( acc[0], 0,acc[0], ym);
l3->SetLineStyle(2);
l3->SetLineWidth(3);
l3->Draw();
l4 = new TLine( acc[1], 0,acc[1], ym);
l4->SetLineStyle(2);
l4->SetLineWidth(3);
l4->Draw();
l5 = new TLine( acc[2], 0,acc[2], ym);
l5->SetLineStyle(2);
l5->SetLineWidth(3);
l5->Draw();
l6 = new TLine( acc[3], 0,acc[3], ym);
l6->SetLineStyle(2);
l6->SetLineWidth(3);
l6->Draw();
// Photon Missing Mass
c1->cd( 2);
name = "COMP_PhotonMmissP_v_TChanPhotP";
TH2D *h2P = (TH2D*)full.Get( name);
name = "COMP_PhotonMmissR_v_TChanPhotR";
TH2D *h2R = (TH2D*)full.Get( name);
bin_lo = h2P->GetXaxis()->FindBin( chan_lo);
bin_hi = h2P->GetXaxis()->FindBin( chan_hi);
TH1D *hP = h2P->ProjectionY( "PhotonMmissP", bin_lo, bin_hi);
TH1D *hR = h2R->ProjectionY( "PhotonMmissR", bin_lo, bin_hi);
TH1D *hS = (TH1D*)hP->Clone( "subt");
// TDC Spectrum
hP->SetTitle();
hP->SetLineWidth( 2);
hP->GetXaxis()->SetTitleOffset( 1.1);
hP->GetXaxis()->SetTitle( "Proton Missing Mass (MeV)");
hP->GetXaxis()->SetLabelSize( 0.03);
hP->GetXaxis()->CenterTitle();
hP->GetXaxis()->SetRangeUser( 800, 1200);
hP->Draw();
hR->SetLineWidth( 2);
hR->SetLineStyle( 2);
hR->Scale( 0.0833);
hR->Draw( "same");
tl = new TLegend( 0.2, 0.7, 0.4, 0.8);
tl->SetFillStyle( 0);
tl->SetBorderSize( 0);
tl->SetTextSize( 0.05);
tl->SetTextFont( 132);
tl->AddEntry( hP, "prompt");
tl->AddEntry( hR, "random");
tl->Draw();
c1->cd( 3);
hS->Sumw2();
hS->Add( hR, -1.0);
hS->SetTitle();
hS->GetXaxis()->SetTitleOffset( 1.1);
hS->GetXaxis()->SetTitle( "Proton Missing Mass (MeV)");
hS->GetXaxis()->SetLabelSize( 0.03);
hS->GetXaxis()->CenterTitle();
hS->SetLineWidth( 2);
hS->SetMarkerStyle( 20);
hS->SetMarkerSize( 0.5);
hS->GetXaxis()->SetRangeUser( 800, 1200);
hS->Draw();
tl = new TLegend( 0.2, 0.7, 0.4, 0.8);
tl->SetFillStyle( 0);
tl->SetBorderSize( 0);
tl->SetTextSize( 0.05);
tl->SetTextFont( 132);
tl->AddEntry( hS, "subtracted", "p");
tl->Draw();
name = Form( "plots/Compton/random_subt_%d", ebin);
name.Append( ".pdf");
if ( print == kTRUE) c1->Print( name);
}
void RooFitMacro()
{
gROOT->Reset();
gSystem->Load("libRooFit");
gROOT->LoadMacro("RooCMSShape.cc+");
//gStyle->SetOptStat(111111);
//gROOT->ProcessLine(".x ~/rootlogon.C");
TFile f("TagAndProbeResults_Marco.root");
TH1F * Z_mass = new TH1F("Z","Z" , 200, 0, 200);
//TH1D *results = new TH1D("results", "results", 200, 0, 200);
//results->Sumw2();
// We need to include NJetCut because there is depedence w.r.t. jet multiplicity
Z_mass = (TH1F*)f.Get("Zmass_Inclusive_NoElectronVeto_Numerator;1");
//Z_mass = (TH1F*)f.Get("Zmass_Inclusive_NoElectronVeto_Denominator;1");
//float bincontent = Z_mass->GetBinContent(60);
//cout << "60.bin content : " << bincontent << endl;
double hmin = 60;
double hmax = 120;
double r = .25;
double sl = 1. / ( 1. - r );
// Declare observable x
RooRealVar x("x","x",hmin,hmax) ;
RooDataHist dh("dh","dh",x,Import(*Z_mass)) ;
// Breit-Wigner Lineshape
// Parameters for Breit-Wigner Distribution
RooRealVar M("M_{Z^{0}}", "Z0 Resonance Mass", 91.18, 85.0, 95.0, "GeV/c^{2}");
RooRealVar gamma("#Gamma", "#Gamma", 2.4952, 2.0, 3.0, "GeV/c^{2}");
M.setConstant();
//gamma.setConstant();
RooBreitWigner bw("bw", "A Breit-Wigner Distribution", x, M, gamma);
// Mass resolution model - Crystal Ball Lineshape
// Parameters for Crystal Ball Lineshape
RooRealVar M_CB("#Delta m_{0}", "Bias", -2.0, -10.0, 10.0, "GeV/c^{2}");
RooRealVar sigma("#sigma_{CB}", "Width", 1.6, 0.1, 15.0, "GeV/c^{2}");
// RooRealVar sigma("#sigma_{CB}", "Width", 2.5, 0.1, 15.0, "GeV/c^{2}");
RooRealVar alpha("#alpha", "Cut", 1.5, 0.1, 15.0);
RooRealVar n("n", "Power", 1.8, 0.5, 5.0);
RooCBShape cb("resCBF", "A Crystal Ball Lineshape", x, M_CB, sigma, alpha, n);
// background p.d.f
RooRealVar cms_alpha("alpha", "alpha", 60, 50, 70);
RooRealVar cms_beta("beta", "beta", 0.01, 0.001, 0.05);
RooRealVar cms_gamma("gamma", "gamma", 0.05, 0.005, 0.5);
RooRealVar peak("peak", "peak", 60, 50, 70);
RooCMSShape bag("bag", "RooCMSShape", x, cms_alpha, cms_beta, cms_gamma, peak);
RooRealVar frac("frac", "f", 0.01, 0, 1.0);
RooFFTConvPdf signal("signal", "Convolution", x, bw, cb);
RooRealVar signal_yield("signal_yield", "signal_yield", 100, 0, Z_mass->Integral());
RooRealVar bag_yield("bag_yield", "bag_yield", 0, 0, Z_mass->Integral());
RooArgList shapes;
RooArgList yields;
shapes.add(signal);
shapes.add(bag);
yields.add(signal_yield);
yields.add(bag_yield);
RooRealVar fsig("fsig", "fsig", 0, 0, 1.);
//RooAddPdf model("model","model",shapes,yields);
// model = fsig x signal + (1-fsig) x bag
RooAddPdf model("model","model",shapes,fsig,kTRUE);
// Signal p.d.f.
//RooFFTConvPdf sum("sum", "Convolution", x, bw, cb);
//RooAddPdf sum("sum","sum",bw,cb,frac);
//RooAddPdf model("model","model",RooArgList(sum, bag),frac);
//RooFFTConvPdf model("model","model",x,sum,bag);
//RooFitResult* filters = sum.fitTo(dh,Range(0,200),"qr");
//filters->Print("v");
//RooFitResult* filters = model.fitTo(dh,Range(0,200),"qr");
RooFitResult* filters = model.fitTo(dh, RooFit::Minimizer("Minuit", "migradimproved"), RooFit::NumCPU(4), RooFit::Save(true), RooFit::Extended(false), RooFit::PrintLevel(-1));
//RooFitResult* filters = model.fitTo(dh, RooFit::Extended(true), RooFit::PrintLevel(-1));
//RooFitResult* filters = model.fitTo(dh, "mhe");
//RooFitResult* filters = cb.fitTo(dh,Range(0,200),"qr");
//RooFitResult* filters = bw.fitTo(dh,Range(0,100),"qr");
//RooFitResult* filters = bag.fitTo(dh,"qr");
TCanvas* canvas = new TCanvas("ZmassHisto","ZmassHisto",0, 0, 1000,700) ;
canvas->cd() ; //gPad->SetLeftMargin(0.15);
//gPad->SetLogy();
RooPlot* frame = x.frame(Title("e #gamma invariant mass fit")) ;
dh.plotOn(frame,MarkerSize(0.5),Name("data_hist")); //this will show histogram data points on canvas
dh.statOn(frame,Layout(0.15,0.37,0.85),What("N")) ;
//dh.statOn(frame); //this will display hist stat on canvas
//sum.plotOn(frame,LineColor(4));//this will show fit overlay on canvas
//sum.paramOn(frame); //this will display the fit parameters on canvas
//bag.plotOn(frame,LineColor(2));//this will show fit overlay on canvas
//bag.paramOn(frame); //this will display the fit parameters on canvas
model.plotOn(frame,Components(bag),LineColor(2));//this will show fit overlay on canvas
model.plotOn(frame,Components(signal),LineColor(3));//this will show fit overlay on canvas
model.plotOn(frame,LineColor(kBlue),Name("main_curve"));//this will show fit overlay on canvas
// model.paramOn(frame); //this will display the fit parameters on canvas
model.paramOn(frame, Layout(0.6, 0.95, 0.92)); //this will display the fit parameters on canvas
//model.paramOn(frame, Layout(0.6, 0.99, 0.75));
// model.plotOn(frame,LineColor(4));//this will show fit overlay on canvas
// model.paramOn(frame); //this will display the fit parameters on canvas
RooHist* histogram = frame->getHist("data_hist");
RooCurve* curve = frame->getCurve("main_curve");
TH1D* hresidual = residualHist(histogram,curve);
hresidual->Sumw2();
canvas->Divide( 1, 2, .1, .1 );
TPad* padHisto = (TPad*) canvas->cd(1);
TPad* padResid = (TPad*) canvas->cd(2);
double small = 0.1;
padHisto->SetPad( 0., r , 1., 1. );
padHisto->SetBottomMargin( small );
padResid->SetPad( 0., 0., 1., r );
padResid->SetBottomMargin( 0.3 );
padResid->SetTopMargin ( small );
padHisto->cd();
//float fitvalue = frame.GetX()[60];
//Double_t nX = x.getVal();
//cout << "nX : " << nX << endl;
//results->SetBinContent(results->GetXaxis()->FindBin(60), nX);
//float fitvalue = results->GetBinContent(59);
//cout << "59.5daki fit value : " << fitvalue << endl;
//cb.plotOn(frame,LineColor(2));//this will show fit overlay on canvas
//cb.paramOn(frame); //this will display the fit parameters on canvas
//bw.plotOn(frame,LineColor(4));//this will show fit overlay on canvas
//bw.paramOn(frame); //this will display the fit parameters on canvas
//gPad->SetLogy();
cout << "chisquare : " << frame->chiSquare() << endl ;
//cout << "Total Number of events: " << Z_mass->Integral() << endl;
//cout << "Number of signal events: " << fsig.getVal() * Z_mass->Integral() << endl;
//cout << "Number of background events: " << (1 - fsig.getVal()) * Z_mass->Integral() << endl;
//Draw all frames on a canvas
//TPaveLabel *label1 = new TPaveLabel(1,500,15,700,"Chisquare:");
frame->GetXaxis()->SetTitle("Invariant mass w/ NoElectronVeto photon (in GeV/c^{2})");
//frame->GetXaxis()->SetTitle("Invariant mass w/ TIGHT photon (in GeV/c^{2})");
//frame->GetXaxis()->SetTitleOffset(1.2);
frame->Draw();
//float binsize = Z_mass->GetBinWidth(1);
//char Bsize[50];
//sprintf(Bsize,"Events per %2.2f",binsize);
//frame->GetYaxis()->SetTitle(Bsize);
//frame->GetYaxis()->SetTitleOffset(1.2);
//results->Sumw2();
padResid->cd();
hresidual->Draw();
Lines( hresidual );
hresidual->Draw( "SAME" );
//frame->Draw();
//results->Draw();
//canvas->Update();
//title->Draw("same");
//hresidual->Draw();
canvas->SaveAs("pdf_TagAndProbe/ResidualNumerator_binned_negligible_errorfit.pdf");
//canvas->SaveAs("pdf_TagAndProbe/ResidualDenominator_binned_negligible_errorfit.pdf");
}
void allCutFlow(){
setTDRStyle();
gROOT->SetBatch();
//stuff to choose
bool logPlot = true; //true for log plot
TString Cut = "EventCount/";
TString Nbtags = "";
TString Obj = "";
TString RefSelection = "";
TString Type = "";
TString Next = "";
int RebinFact = 1;
TString Systematic = "central/";
//TString Variable = "TTbarMuMuRefSelection";
//TString Variable = "TTbarMuMuRefSelectionUnweighted";
//TString Variable = "TTbarEERefSelection";
//TString Variable = "TTbarEERefSelectionUnweighted";
TString Variable = "TTbarEMuRefSelection";
//TString Variable = "TTbarEMuRefSelectionUnweighted";
TString Xtitle = "Cuts";
//if( Variable == "TTbarMuMuRefSelection" || Variable == "TTbarEERefSelection" )
//TString step[10] = {"Skim" ,"Cleaning and HLT","Di-lepton Sel", "m(Z) veto", "#geq 1 jet", "#geq 2 jets", "#slash{E_{T}} cut", "#geq1 CSV b-tag", "#geq1 Good Photon" , "1 Good Photon"};
//TString step_latex[10] = {"Skim" ,"Cleaning and HLT","Di-lepton Sel", "m(Z) veto", "$\\geq$ 1 jets", "$\\geq$ 2 jets", "$\\slash{E_{T}}$ cut", "$\\geq$ 1 CSV b-tag", "$\\geq$ 1 Good Photon" , "1 Good Photon"};
//if( Variable == "TTbarEMuRefSelection" )
TString step[8] = {"Skim" ,"Cleaning and HLT","Di-lepton Sel", "#geq 1 jets", "#geq 2 jets", "#geq1 CSV b-tag", "#geq1 Good Photon", "1 Good Photon" };
TString step_latex[8] = {"Skim" ,"Cleaning and HLT","Di-lepton Sel", "$\\geq$ 1 jets", "$\\geq$ 2 jets", "$\\geq$ 1 CSV b-tag", "$\\geq$ 1 Good Photon" , "1 Good Photon"};
//Data
if( Variable == "TTbarMuMuRefSelection" || Variable == "TTbarMuMuRefSelectionUnweighted" )
TH1D* data = getSample("DoubleMu", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
if( Variable == "TTbarEERefSelection" || Variable == "TTbarEERefSelectionUnweighted" )
TH1D* data = getSample("DoubleElectron", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
if( Variable == "TTbarEMuRefSelection" || Variable == "TTbarEMuRefSelectionUnweighted" )
TH1D* data = getSample("MuEG", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
//MC
TH1D* ttgamma = getSample("TTGamma", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* tt = getSample("TTJet", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* wjets = getSample("WJetsToLNu", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* DY1 = getSample("DYJetsToLL_M-10To50", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* DY2 = getSample("DYJetsToLL_M-50", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* T_tW = getSample("T_tW-channel", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* Tbar_tW = getSample("Tbar_tW-channel",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* ZZ = getSample("ZZtoAnything",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* WW = getSample("WWtoAnything",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* WZ = getSample("WZtoAnything",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
//QCD
TH1D* QCD_Pt_20_30_BCtoE = getSample("QCD_Pt_20_30_BCtoE",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* QCD_Pt_20_30_EMEnriched = getSample("QCD_Pt_20_30_EMEnriched",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* QCD_Pt_20_MuEnrichedPt_15 = getSample("QCD_Pt_20_MuEnrichedPt_15",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* QCD_Pt_30_80_BCtoE = getSample("QCD_Pt_30_80_BCtoE",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* QCD_Pt_30_80_EMEnriched = getSample("QCD_Pt_30_80_EMEnriched",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* QCD_Pt_80_170_BCtoE = getSample("QCD_Pt_80_170_BCtoE",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* QCD_Pt_80_170_EMEnriched = getSample("QCD_Pt_80_170_EMEnriched",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
TH1D* QCD_all = getSample("QCD_Pt_20_MuEnrichedPt_15",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
QCD_all->Add(QCD_Pt_20_30_BCtoE);
QCD_all->Add(QCD_Pt_20_30_EMEnriched);
QCD_all->Add(QCD_Pt_30_80_BCtoE);
QCD_all->Add(QCD_Pt_30_80_EMEnriched);
QCD_all->Add(QCD_Pt_80_170_BCtoE);
QCD_all->Add(QCD_Pt_80_170_EMEnriched);
TH1D* DY = getSample("DYJetsToLL_M-10To50", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
DY->Add(DY2);
TH1D* Diboson = getSample("ZZtoAnything",1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
Diboson->Add(WW);
Diboson->Add(WZ);
TH1D* SingleTop = getSample("T_tW-channel", 1, Obj, RefSelection, Type, Next, Variable, RebinFact, Systematic, Cut);
SingleTop->Add(Tbar_tW);
cout << "got samples" << endl;
THStack *hs = new THStack("hs","test");
hs->Add(QCD_all);
hs->Add(wjets);
hs->Add(WZ);
hs->Add(WW);
hs->Add(ZZ);
hs->Add(DY1);
hs->Add(DY2);
hs->Add(T_tW);
hs->Add(Tbar_tW);
hs->Add(tt);
hs->Add(ttgamma);
TH1D* allMC = (TH1D*)ttgamma->Clone("ratio");
allMC->Add(tt);
allMC->Add(wjets);
allMC->Add(DY1);
allMC->Add(DY2);
allMC->Add(T_tW);
allMC->Add(Tbar_tW);
allMC->Add(ZZ);
allMC->Add(WW);
allMC->Add(WZ);
allMC->Add(QCD_all);
TH1D* dataEff = new TH1D("data eff","data eff",9,0,9);
TH1D* mcEff = new TH1D("mc eff","mc eff",9,0,9);
mcEff->Sumw2();
dataEff->Sumw2();
for(int q =1; q<ttgamma->GetNbinsX(); q++){
mcEff->GetXaxis()->SetBinLabel(q, step[q]);
dataEff->SetBinContent(q, data->GetBinContent(q+1)/data->GetBinContent(q));
dataEff->SetBinError(q, dataEff->GetBinContent(q)*sqrt(pow(data->GetBinError(q+1)/data->GetBinContent(q+1),2)+pow(data->GetBinError(q)/data->GetBinContent(q),2)));
mcEff->SetBinContent(q, allMC->GetBinContent(q+1)/allMC->GetBinContent(q));
}
TCanvas *c2 = new TCanvas("cutflow eff","cutflow eff",600, 500);
mcEff->SetLineColor(kRed);
mcEff->Draw();
dataEff->Draw("Esame");
TLegend *tleg3;
tleg3 = new TLegend(0.7,0.7,0.8,0.9);
tleg3->SetTextSize(0.04);
tleg3->SetBorderSize(0);
tleg3->SetFillColor(10);
tleg3->AddEntry(dataEff , "data", "l");
tleg3->AddEntry(mcEff , "mc", "l");
tleg3->Draw("same");
c2->SaveAs("plots/cutFlow/cutEff_"+Variable+".pdf");
c2->SaveAs("plots/cutFlow/cutEff_"+Variable+".png");
delete c2;
//draw histos to files
TCanvas *c1 = new TCanvas("cutflow","cutflow",900, 600);
hs->SetMaximum(data->GetBinContent(data->GetMaximumBin())*1.3);
if(logPlot ==true)
hs->SetMinimum(10.);
hs->Draw("hist");
for(int q =0; q<ttgamma->GetNbinsX(); q++)
hs->GetXaxis()->SetBinLabel(q+1, step[q]);
data->Draw("E same");
data->SetMarkerStyle(20);
// hs->GetXaxis()->SetLimits(MinX, MaxX);
hs->GetXaxis()->SetTitle(Xtitle); hs->GetXaxis()->SetTitleSize(0.05);
hs->GetYaxis()->SetTitle("Number of Events");hs->GetYaxis()->SetTitleSize(0.05);
TLegend *tleg2;
tleg2 = new TLegend(0.7,0.7,0.8,0.9);
tleg2->SetTextSize(0.04);
tleg2->SetBorderSize(0);
tleg2->SetFillColor(10);
tleg2->AddEntry(data , "2012 data", "lpe");
tleg2->AddEntry(ttgamma , "t#bar{t}+gamma", "lf");
tleg2->AddEntry(tt , "t#bar{t}", "lf");
tleg2->AddEntry(T_tW, "single top", "lf");
tleg2->AddEntry(DY1 , "Drell-Yan", "lf");
tleg2->AddEntry(ZZ , "Di-boson", "lf");
tleg2->AddEntry(wjets , "w+jets", "lf");
tleg2->AddEntry(QCD_all , "QCD", "lf");
//tleg2->AddEntry(singtEff, "single-t" , "l");
//tleg2->AddEntry(singtwEff, "single-tW" , "l");
tleg2->Draw("same");
TText* textstuff = dostuff(0.22,0.96, Variable);
textstuff->Draw();
if(logPlot ==true){
c1->SetLogy();
}
TString plotName("plots/cutFlow/");
if(logPlot ==true){
plotName += Variable+"_Log";
plotName += Nbtags;
}else{
plotName += Variable+"";
plotName += Nbtags;
}
c1->SaveAs(plotName+".png");
c1->SaveAs(plotName+".pdf");
delete c1;
//print out
std::cout.setf(std::ios::fixed);
std::cout.precision(0);
cout << "& ttgamma & ttbar & single-t & wjets & zjets & diboson & qcd & all MC & data \\\\" << endl;
for(int q = 0; q < ttgamma->GetNbinsX(); q++){
cout << step_latex[q] << " & " << ttgamma->GetBinContent(q+1) << " $\\pm$ " << ttgamma->GetBinError(q+1) << " & " <<
tt->GetBinContent(q+1) << " $\\pm$ " << tt->GetBinError(q+1) << " & " << SingleTop->GetBinContent(q+1) << " $\\pm$ " <<
SingleTop->GetBinError(q+1) << " & " << DY->GetBinContent(q+1) << " $\\pm$ " << DY->GetBinError(q+1) << " & " <<
Diboson->GetBinContent(q+1) << " $\\pm$ " << Diboson->GetBinError(q+1) << " & "<< wjets->GetBinContent(q+1) << " $\\pm$ "
<< wjets->GetBinError(q+1) << " & " << QCD_all->GetBinContent(q+1) << " $\\pm$ " << QCD_all->GetBinError(q+1) << " & " <<
allMC->GetBinContent(q+1) << " $\\pm$ " << allMC->GetBinError(q+1) << " & " << data->GetBinContent(q+1) << " $\\pm$ " <<
data->GetBinError(q+1) << " \\\\ " << endl;
}
// for(int r = 0; r < ttgamma->GetNbinsX(); r++){
// std::cout << ttgamma->GetBinContent(r+1) << std::endl;
// }
}
void diffXsecZbb( TString inputFile1Name,
TString inputFile2Name,
TString inputFile3Name,
TString eventsNumberHistoName,
TString HistoName) {
// general root setting
gROOT->Reset();
// gROOT->SetBatch(kTRUE);
gStyle->SetOptStat(0);
gStyle->SetTitleSize(0.1);
gStyle->SetLabelSize(0.04,"X");
gStyle->SetLabelSize(0.04,"Y");
gStyle->SetPadBorderMode(0);
gStyle->SetPadColor(0);
gStyle->SetCanvasBorderMode(0);
gStyle->SetCanvasColor(0);
const double xSec_Zbb0jets_ = 1.66; // in pb
const double xSec_Zbb1jets_ = 0.29; // in pb
const double xSec_Zbb2jets_ = 0.05; // in pb
const double xSec_Zbb3jets_ = 0.01; // in pb
const double leptonFactor = 2.0;
const double luminosityFactor = 100000.; // 100fb^-1 of luminosity assumed in histograms
TFile * inputFile1 = new TFile(inputFile1Name);
TFile * inputFile2 = new TFile(inputFile2Name);
TFile * inputFile3 = new TFile(inputFile3Name);
TH1D * eventsNumberHisto1 = dynamic_cast<TH1D*>(inputFile1->Get(eventsNumberHistoName));
TH1D * histo1 = dynamic_cast<TH1D*>(inputFile1->Get(HistoName));
TH1D * histoirrBkg1 = dynamic_cast<TH1D*>(inputFile1->Get(HistoName+"irrBkg"));
TH1D * eventsNumberHisto2 = dynamic_cast<TH1D*>(inputFile2->Get(eventsNumberHistoName));
TH1D * histo2 = dynamic_cast<TH1D*>(inputFile2->Get(HistoName));
TH1D * histoirrBkg2 = dynamic_cast<TH1D*>(inputFile2->Get(HistoName+"irrBkg"));
TH1D * eventsNumberHisto3 = dynamic_cast<TH1D*>(inputFile3->Get(eventsNumberHistoName));
TH1D * histo3 = dynamic_cast<TH1D*>(inputFile3->Get(HistoName));
TH1D * histoirrBkg3 = dynamic_cast<TH1D*>(inputFile3->Get(HistoName+"irrBkg"));
TString HistoTitle = histo1->GetTitle();
int nbin = histo1->GetNbinsX();
double xmin = histo1->GetXaxis()->GetXmin();
double xmax = histo1->GetXaxis()->GetXmax();
TH1D * histoTot = new TH1D(HistoName+"TOT", "inclusive "+HistoTitle,nbin,xmin,xmax);
TH1D * histoirrBkgTot = new TH1D(HistoName+"irrBkgTOT","inclusive irrudicible background "+HistoTitle,nbin,xmin,xmax);
histo1->SetTitle(HistoTitle+ " for Zbb 0 jets");
histo2->SetTitle(HistoTitle+ " for Zbb 1 jets");
histo3->SetTitle(HistoTitle+ " for Zbb 2 jets");
histoirrBkg1->SetTitle("irriducible background "+HistoTitle+ " for Zbb 0 jets");
histoirrBkg2->SetTitle("irriducible background "+HistoTitle+ " for Zbb 1 jets");
histoirrBkg3->SetTitle("irriducible background "+HistoTitle+ " for Zbb 2 jets");
double histo1Entries = histo1->GetEntries();
double histo2Entries = histo2->GetEntries();
double histo3Entries = histo3->GetEntries();
double histoirrBkg1Entries = histoirrBkg1->GetEntries();
double histoirrBkg2Entries = histoirrBkg2->GetEntries();
double histoirrBkg3Entries = histoirrBkg3->GetEntries();
double events1 = (double)eventsNumberHisto1->GetMaximum();
double events2 = (double)eventsNumberHisto2->GetMaximum();
double events3 = (double)eventsNumberHisto3->GetMaximum();
double xSecEff1 = leptonFactor*xSec_Zbb0jets_;
double xSecEff2 = leptonFactor*xSec_Zbb1jets_;
double xSecEff3 = leptonFactor*xSec_Zbb2jets_;
double invLuminosityEff1 = xSecEff1/events1;
double invLuminosityEff2 = xSecEff2/events2;
double invLuminosityEff3 = xSecEff3/events3;
TLegend * legend1 = new TLegend(0.5,0.6,0.89,0.8);
legend1->SetFillColor(0);
legend1->SetBorderSize(0);
legend1->SetTextFont(72);
legend1->SetTextSize(0.035);
legend1->SetFillColor(0);
TLegend * legend2 = new TLegend(0.5,0.6,0.89,0.8);
legend2->SetFillColor(0);
legend2->SetBorderSize(0);
legend2->SetTextFont(72);
legend2->SetTextSize(0.035);
legend2->SetFillColor(0);
TLegend * legend3 = new TLegend(0.5,0.6,0.89,0.8);
legend3->SetFillColor(0);
legend3->SetBorderSize(0);
legend3->SetTextFont(72);
legend3->SetTextSize(0.035);
legend3->SetFillColor(0);
TLegend * legendTot = new TLegend(0.7,0.65,0.89,0.85);
legendTot->SetFillColor(0);
legendTot->SetBorderSize(0);
legendTot->SetTextFont(72);
legendTot->SetTextSize(0.035);
legendTot->SetFillColor(0);
char nev[50];
TCanvas * canvas = new TCanvas ( "diffxSec", "differential xSec", 1200, 400 );
gStyle->SetOptStat(0);
// canvas->UseCurrentStyle();
canvas->Divide(3,1);
canvas->cd(1);
histo1->SetNormFactor(histo1Entries*invLuminosityEff1*luminosityFactor);
histo1->Draw();
sprintf(nev,"number of events in 100 fb^{-1}:");
sprintf(nev,"%.2f",histo1Entries*invLuminosityEff1*luminosityFactor);
legend1->AddEntry(histo1,nev,"");
legend1->Draw();
canvas->cd(2);
histo2->SetNormFactor(histo2Entries*invLuminosityEff2*luminosityFactor);
histo2->Draw();
legend2->Clear();
sprintf(nev,"number of events in 100 fb^{-1}:");
sprintf(nev,"%.2f",histo2Entries*invLuminosityEff2*luminosityFactor);
legend2->AddEntry(histo2,nev,"");
legend2->Draw();
canvas->cd(3);
histo3->SetNormFactor(histo3Entries*invLuminosityEff3*luminosityFactor);
histo3->Draw();
legend3->Clear();
sprintf(nev,"number of events in 100 fb^{-1}:");
sprintf(nev,"%.2f",histo3Entries*invLuminosityEff3*luminosityFactor);
legend3->AddEntry(histo3,nev,"");
legend3->Draw();
histoTot->Sumw2();
histoTot->Add(histo1);
histoTot->Add(histo2);
histoTot->Add(histo3);
TCanvas * canvasTot = new TCanvas ( "inclusivediffxSec", "differential xSec", 1200, 400 );
gStyle->SetOptStat(0);
canvasTot->UseCurrentStyle();
canvasTot->cd();
histo1->SetTitle("4-body mass (100 fb^{-1})");
histo1->GetXaxis()->SetTitle("m_{llbb} (GeV)");
histo1->GetYaxis()->SetTitle("d#sigma/dm_{llbb} events/10GeV");
histo1->SetMinimum(0.001);
histo1->SetLineColor(51);
histo1->Draw();
histo2->SetLineColor(56);
histo2->Draw("same");
histo3->SetLineColor(60);
histo3->Draw("same");
histoTot->Draw("same");
legendTot->Clear();
sprintf(nev,"Zb\\bar{b}+0jets");
legendTot->AddEntry(histo1,nev,"l");
sprintf(nev,"Zb\\bar{b}+1jets");
legendTot->AddEntry(histo2,nev,"l");
sprintf(nev,"Zb\\bar{b}+2jets");
legendTot->AddEntry(histo3,nev,"l");
sprintf(nev,"inclusive");
legendTot->AddEntry(histoTot,nev,"l");
legendTot->Draw();
TCanvas * canvasirrBkg = new TCanvas ( "diffxSecirrbkg", "differential xSec for irriducible background", 1200, 400 );
gStyle->SetOptStat(0);
canvasirrBkg->UseCurrentStyle();
canvasirrBkg->Divide(3,1);
canvasirrBkg->cd(1);
histoirrBkg1->SetNormFactor(histoirrBkg1Entries*invLuminosityEff1*luminosityFactor);
histoirrBkg1->Draw();
sprintf(nev,"number of events in 100 fb^{-1}:");
sprintf(nev,"%.2f",histoirrBkg1Entries*invLuminosityEff1*luminosityFactor);
legend1->AddEntry(histoirrBkg1,nev,"");
legend1->Draw();
canvasirrBkg->cd(2);
histoirrBkg2->SetNormFactor(histoirrBkg2Entries*invLuminosityEff2*luminosityFactor);
histoirrBkg2->Draw();
legend2->Clear();
sprintf(nev,"number of events in 100 fb^{-1}:");
sprintf(nev,"%.2f",histoirrBkg2Entries*invLuminosityEff2*luminosityFactor);
legend2->AddEntry(histoirrBkg2,nev,"");
legend2->Draw();
canvasirrBkg->cd(3);
histoirrBkg3->SetNormFactor(histoirrBkg3Entries*invLuminosityEff3*luminosityFactor);
histoirrBkg3->Draw();
legend3->Clear();
sprintf(nev,"number of events in 100 fb^{-1}:");
sprintf(nev,"%.2f",histoirrBkg3Entries*invLuminosityEff3*luminosityFactor);
legend3->AddEntry(histoirrBkg3,nev,"");
legend3->Draw();
histoirrBkgTot->Sumw2();
histoirrBkgTot->Add(histoirrBkg1);
histoirrBkgTot->Add(histoirrBkg2);
histoirrBkgTot->Add(histoirrBkg3);
TCanvas * canvasirrBkgTot = new TCanvas ( "inclusivediffxSecirrBkg", "differential xSec", 1200, 400 );
gStyle->SetOptStat(0);
canvasirrBkgTot->UseCurrentStyle();
canvasirrBkgTot->cd();
gPad->SetLogy();
histoirrBkg1->SetTitle("4-body mass (100 fb^{-1})");
histoirrBkg1->GetXaxis()->SetTitle("m_{llbb} (GeV)");
histoirrBkg1->GetYaxis()->SetTitle("d#sigma/dm_{llbb} events/10GeV");
histoirrBkg1->SetMinimum(0.001);
histoirrBkg1->SetLineColor(51);
histoirrBkg1->Draw();
histoirrBkg2->SetLineColor(56);
histoirrBkg2->Draw("same");
histoirrBkg3->SetLineColor(60);
histoirrBkg3->Draw("same");
histoirrBkgTot->Draw("same");
legendTot->Clear();
sprintf(nev,"Zb\\bar{b}+0jets");
legendTot->AddEntry(histoirrBkg1,nev,"l");
sprintf(nev,"Zb\\bar{b}+1jets");
legendTot->AddEntry(histoirrBkg2,nev,"l");
sprintf(nev,"Zb\\bar{b}+2jets");
legendTot->AddEntry(histoirrBkg3,nev,"l");
sprintf(nev,"inclusive");
legendTot->AddEntry(histoirrBkgTot,nev,"l");
legendTot->Draw();
canvas->Print("Zbb.jpg");
canvasTot->Print("Zbbtot.jpg");
canvasirrBkg->Print("ZbbIrr.jpg");
canvasirrBkgTot->Print("ZbbIrrtot.jpg");
TFile * outputFile = new TFile("diffXsecZbb.root","RECREATE");
histo1->Write();
histo2->Write();
histo3->Write();
histoTot->Write();
histoirrBkg1->Write();
histoirrBkg2->Write();
histoirrBkg3->Write();
histoirrBkgTot->Write();
outputFile->Close();
}
int resbosComp(const TString BaseName)
{
TString tmpTStr;
CPlot* pltComp;
CPlot* pltCompLog;
TFile *F_29;
TFile *F_30;
TFile *F_31;
TFile *F_32;
TFile *F_33;
TFile *F_34;
TFile *F_35;
TFile *F_Data;
F_29 = new TFile("../"+BaseName+"/29lResbos.root");
F_30 = new TFile("../"+BaseName+"/30lResbos.root");
F_31 = new TFile("../"+BaseName+"/31lResbos.root");
F_32 = new TFile("../"+BaseName+"/32lResbos.root");
F_33 = new TFile("../"+BaseName+"/33lResbos.root");
F_34 = new TFile("../"+BaseName+"/34lResbos.root");
F_35 = new TFile("../"+BaseName+"/35lResbos.root");
F_Data = new TFile("../RstUnfold/Result_"+BaseName+".root");
TString resultDir = "Result";
gSystem->mkdir(resultDir,kTRUE);
TFile f_out(resultDir+"/Resbos_"+BaseName+".root","recreate");
const int nBins = 14;
double WptBins[nBins] = {0.0,7.5,12.5,17.5,24,30,40,50,70,110,150,190,250,600};
double WptLogBins[nBins] = {1.0,7.5,12.5,17.5,24,30,40,50,70,110,150,190,250,600};
TH1D *hResbos29 = new TH1D("hResbos29","hResbos29",nBins-1,WptBins);hResbos29->Sumw2();
TH1D *hResbos30 = new TH1D("hResbos30","hResbos30",nBins-1,WptBins);hResbos30->Sumw2();
TH1D *hResbos31 = new TH1D("hResbos31","hResbos31",nBins-1,WptBins);hResbos31->Sumw2();
TH1D *hResbos32 = new TH1D("hResbos32","hResbos32",nBins-1,WptBins);hResbos32->Sumw2();
TH1D *hResbos33 = new TH1D("hResbos33","hResbos33",nBins-1,WptBins);hResbos33->Sumw2();
TH1D *hResbos34 = new TH1D("hResbos34","hResbos34",nBins-1,WptBins);hResbos34->Sumw2();
TH1D *hResbos35 = new TH1D("hResbos35","hResbos35",nBins-1,WptBins);hResbos35->Sumw2();
TH1D *hData = new TH1D("hData","hData",nBins-1,WptBins);hData->Sumw2();
TH1D *hResbosLog29 = new TH1D("hResbosLog29","hResbosLog29",13,WptLogBins);hResbosLog29->Sumw2();
TH1D *hResbosLog30 = new TH1D("hResbosLog30","hResbosLog30",13,WptLogBins);hResbosLog30->Sumw2();
TH1D *hResbosLog31 = new TH1D("hResbosLog31","hResbosLog31",13,WptLogBins);hResbosLog31->Sumw2();
TH1D *hResbosLog32 = new TH1D("hResbosLog32","hResbosLog32",13,WptLogBins);hResbosLog32->Sumw2();
TH1D *hResbosLog33 = new TH1D("hResbosLog33","hResbosLog33",13,WptLogBins);hResbosLog33->Sumw2();
TH1D *hResbosLog34 = new TH1D("hResbosLog34","hResbosLog34",13,WptLogBins);hResbosLog34->Sumw2();
TH1D *hResbosLog35 = new TH1D("hResbosLog35","hResbosLog35",13,WptLogBins);hResbosLog35->Sumw2();
TH1D *hDataLog = new TH1D("hDataLog","hDataLog",13,WptLogBins);hDataLog->Sumw2();
TH1D* lResbos29;
TH1D* lResbos30;
TH1D* lResbos31;
TH1D* lResbos32;
TH1D* lResbos33;
TH1D* lResbos34;
TH1D* lResbos35;
TH1D* lData;
lResbos29 =(TH1D*)F_29->Get("lResbos")->Clone();
lResbos30 =(TH1D*)F_30->Get("lResbos")->Clone();
lResbos31 =(TH1D*)F_31->Get("lResbos")->Clone();
lResbos32 =(TH1D*)F_32->Get("lResbos")->Clone();
lResbos33 =(TH1D*)F_33->Get("lResbos")->Clone();
lResbos34 =(TH1D*)F_34->Get("lResbos")->Clone();
lResbos35 =(TH1D*)F_35->Get("lResbos")->Clone();
lData =(TH1D*)F_Data->Get("BornEffCorr")->Clone();
lData->Scale(1./18.429);
for( int ipt(1);ipt<nBins;ipt++)
{
hResbos29->SetBinContent(ipt,lResbos29->GetBinContent(ipt));
hResbos30->SetBinContent(ipt,lResbos30->GetBinContent(ipt));
hResbos31->SetBinContent(ipt,lResbos31->GetBinContent(ipt));
hResbos32->SetBinContent(ipt,lResbos32->GetBinContent(ipt));
hResbos33->SetBinContent(ipt,lResbos33->GetBinContent(ipt));
hResbos34->SetBinContent(ipt,lResbos34->GetBinContent(ipt));
hResbos35->SetBinContent(ipt,lResbos35->GetBinContent(ipt));
hData->SetBinContent(ipt,lData->GetBinContent(ipt));
hData->SetBinError(ipt,lData->GetBinError(ipt));
hResbos29->SetBinError(ipt,lResbos29->GetBinError(ipt));
hResbos30->SetBinError(ipt,lResbos30->GetBinError(ipt));
hResbos31->SetBinError(ipt,lResbos31->GetBinError(ipt));
hResbos32->SetBinError(ipt,lResbos32->GetBinError(ipt));
hResbos33->SetBinError(ipt,lResbos33->GetBinError(ipt));
hResbos34->SetBinError(ipt,lResbos34->GetBinError(ipt));
hResbos35->SetBinError(ipt,lResbos35->GetBinError(ipt));
hResbosLog29->SetBinContent(ipt,lResbos29->GetBinContent(ipt));
hResbosLog30->SetBinContent(ipt,lResbos30->GetBinContent(ipt));
hResbosLog31->SetBinContent(ipt,lResbos31->GetBinContent(ipt));
hResbosLog32->SetBinContent(ipt,lResbos32->GetBinContent(ipt));
hResbosLog33->SetBinContent(ipt,lResbos33->GetBinContent(ipt));
hResbosLog34->SetBinContent(ipt,lResbos34->GetBinContent(ipt));
hResbosLog35->SetBinContent(ipt,lResbos35->GetBinContent(ipt));
hDataLog->SetBinContent(ipt,lData->GetBinContent(ipt));
hDataLog->SetBinError(ipt,lData->GetBinError(ipt));
}
hResbos29->Write();
hResbos30->Write();
hResbos31->Write();
hResbos32->Write();
hResbos33->Write();
hResbos34->Write();
hResbos35->Write();
TCanvas *c1 = new TCanvas("c1","c1",800,800);
tmpTStr = BaseName+"_ResbosComp_Lin";
pltComp = new CPlot(tmpTStr,"","W p_{T} [Gev]","Xsec [pb]");
pltComp->setOutDir(resultDir);
pltComp->AddHist1D(hResbos29,"Resbos grid29","HIST",3,1,0);
pltComp->AddHist1D(hResbos30,"Resbos grid30","HIST",2,1,0);
pltComp->AddHist1D(hResbos31,"Resbos grid31","HIST",4,1,0);
pltComp->AddHist1D(hResbos32,"Resbos grid32","HIST",5,1,0);
pltComp->AddHist1D(hResbos33,"Resbos grid33","HIST",6,1,0);
pltComp->AddHist1D(hResbos34,"Resbos grid34","HIST",9,1,0);
pltComp->AddHist1D(hResbos35,"Resbos grid35","HIST",7,1,0);
pltComp->AddHist1D(hData,"Unfolded","E");
pltComp->AddTextBox(BaseName,0.7,0.6,.9,0.63,0,1,0);
pltComp->SetLegend(0.7,0.65,.9,0.88);
pltComp->Draw(c1,kTRUE,"png");
tmpTStr = BaseName+"_ResbosComp_Log";
pltCompLog = new CPlot(tmpTStr,"","W p_{T} [Gev]","Xsec [pb]");
pltCompLog->setOutDir(resultDir);
pltCompLog->AddHist1D(hResbosLog29,"Resbos grid29","HIST",3,1,0);
pltCompLog->AddHist1D(hResbosLog30,"Resbos grid30","HIST",2,1,0);
pltCompLog->AddHist1D(hResbosLog31,"Resbos grid31","HIST",4,1,0);
pltCompLog->AddHist1D(hResbosLog32,"Resbos grid32","HIST",5,1,0);
pltCompLog->AddHist1D(hResbosLog33,"Resbos grid33","HIST",6,1,0);
pltCompLog->AddHist1D(hResbosLog34,"Resbos grid34","HIST",9,1,0);
pltCompLog->AddHist1D(hResbosLog35,"Resbos grid35","HIST",7,1,0);
pltCompLog->AddHist1D(hDataLog,"Unfolded","E");
pltCompLog->AddTextBox(BaseName,0.7,0.6,.9,0.63,0,1,0);
pltCompLog->SetLegend(0.7,0.65,.9,0.88);
pltCompLog->SetLogx();
pltCompLog->Draw(c1,kTRUE,"png");
return 0;
}
void drawQGFraction(){
const double PI = 3.14159;
TChain *mix = new TChain("mixing_tree");
mix->Add("/data/kurtjung/JetTrackCorr_skims/2p76TeV_MC_Pythia6/MergedPythia_withPartonFlavor.root");
//mix->Add("/data/kurtjung/JetTrackCorr_skims/5TeV_MC_Pythia6/*");
//double xsecs[11] = {5.335E-01, 3.378E-02, 3.778E-03, 4.412E-04, 6.147E-05, 1.018E-05, 2.477E-06, 6.160E-07, 1.088E-07, 3.216E-08, 0}; //pythia6 5.02 tev weights
double xsecs[11] = {2.043e-01, 1.075E-02, 1.025E-03, 9.865E-05, 1.129E-05, 1.465E-06, 2.837E-07, 5.323E-08, 5.934e-09, 8.125e-10, 0}; //2.76 tev weights
int recalculatedEntries[10] = {0,0,0,0,0,0,0,0,0,0};
double pthatbins[11] = {15,30,50,80,120,170,220,280,370,460,9999};
TFile *fout = new TFile("QGFrac_pythia6_2p76TeV.root","recreate");
TH1D *quarkFracIncl = new TH1D("quarkFracIncl","",20,120,500); quarkFracIncl->Sumw2();
TH1D *glueFracIncl = new TH1D("glueFracIncl","",20,120,500); glueFracIncl->Sumw2();
TH1D *inclJets = new TH1D("inclJets","",20,120,500); inclJets->Sumw2();
TH1D *quarkFracLead = new TH1D("quarkFracLead","",20,120,500); quarkFracLead->Sumw2();
TH1D *glueFracLead = new TH1D("glueFracLead","",20,120,500); glueFracLead->Sumw2();
TH1D *leadJets = new TH1D("leadJets","",20,120,500); leadJets->Sumw2();
Int_t HBHENoiseFilterResultRun2Loose, pPAprimaryVertexFilter;
vector<float> *calo_corrpt=0, *calo_jtphi=0;
vector<int> *calo_refparton_flavor=0;
float pthat;
mix->SetBranchAddress("calo_corrpt",&calo_corrpt);
mix->SetBranchAddress("calo_jtphi",&calo_jtphi);
mix->SetBranchAddress("calo_refparton_flavor",&calo_refparton_flavor);
mix->SetBranchAddress("pthat",&pthat);
mix->SetBranchAddress("HBHENoiseFilterResultRun2Loose",&HBHENoiseFilterResultRun2Loose);
mix->SetBranchAddress("pPAprimaryVertexFilter",&pPAprimaryVertexFilter);
TH1D *pthatHisto = new TH1D("pthatHisto","",10,pthatbins);
mix->Project("pthatHisto","pthat");
for(int i=0; i<10; i++){
recalculatedEntries[i] = pthatHisto->GetBinContent(i+1);
cout << "entries between pthat " << pthatbins[i] << " and " << pthatbins[i+1] << ": " << recalculatedEntries[i] << endl;
cout << "weight: " << (xsecs[i]-xsecs[i+1])/recalculatedEntries[i] <<endl;
}
int totEntries = mix->GetEntries();
cout << "entries: "<< totEntries << endl;
totEntries=100000;
for(int ievt=0; ievt<totEntries; ievt++){
mix->GetEntry(ievt);
if(ievt && ievt%10000==0) cout << "entry: " << ievt << endl;
//if(!HBHENoiseFilterResultRun2Loose || !pPAprimaryVertexFilter) continue;
int ibin=0;
double weight=0.;
while(pthat>pthatbins[ibin]) ibin++;
ibin--;
weight = (xsecs[ibin]-xsecs[ibin+1])/recalculatedEntries[ibin];
if(weight>1){
cout << "xsec: "<< xsecs[ibin]-xsecs[ibin+1] << " entries: " << recalculatedEntries[ibin] << endl;
cout << "pthat: "<< pthat << " bin " << ibin << endl;
}
for(unsigned int ijet=0; ijet<calo_corrpt->size(); ijet++){
if(abs(calo_refparton_flavor->at(ijet))>0 && abs(calo_refparton_flavor->at(ijet))<6) quarkFracIncl->Fill(calo_corrpt->at(ijet), weight);
if(abs(calo_refparton_flavor->at(ijet))==21){ glueFracIncl->Fill(calo_corrpt->at(ijet), weight); }
inclJets->Fill(calo_corrpt->at(ijet), weight);
if(ijet==0 && calo_corrpt->size()>1){
double dphi = abs(calo_jtphi->at(0) - calo_jtphi->at(1));
if(dphi>(7*PI/8.) && dphi<(9*PI/8.) && calo_corrpt->at(1)>50) {
if(abs(calo_refparton_flavor->at(ijet))>0 && abs(calo_refparton_flavor->at(ijet))<6) quarkFracLead->Fill(calo_corrpt->at(ijet), weight);
if(abs(calo_refparton_flavor->at(ijet))==21) glueFracLead->Fill(calo_corrpt->at(ijet), weight);
leadJets->Fill(calo_corrpt->at(ijet), weight);
}
}
}
}
//quarkFracLead->Divide(leadJets);
//glueFracLead->Divide(leadJets);
//quarkFracIncl->Divide(inclJets);
//glueFracIncl->Divide(inclJets);
fout->cd();
formatHisto(quarkFracLead,1);
formatHisto(glueFracLead,2);
formatHisto(quarkFracIncl,4);
formatHisto(glueFracIncl,8);
quarkFracLead->Write();
glueFracLead->Write();
quarkFracIncl->Write();
glueFracIncl->Write();
leadJets->Write();
inclJets->Write();
fout->Close();
}
TH1D* getSample(TString sample, int rebinFact, TString Obj, TString dir, bool ge4){
TFile* file = new TFile();
//cout << "file: " << "rootFilesV3/"+dir+"/"+ sample + "_5814pb_PFElectron_PFMuon_PF2PATJets_PFMET.root" << endl;
if(dir == "central" || (dir == "Scale_up_tt" && sample != "TTJet") || (dir == "Scale_down_tt" && sample != "TTJet") || ((dir == "Scale_up" && sample != "WJetsToLNu") && (dir == "Scale_up" && sample != "DYJetsToLL")) || ((dir == "Scale_down" && sample != "WJetsToLNu") && (dir == "Scale_down" && sample != "DYJetsToLL")) || (dir == "Match_up_tt" && sample != "TTJet") || (dir == "Match_down_tt" && sample != "TTJet") || ((dir == "Match_up" && sample != "WJetsToLNu") && (dir == "Match_up" && sample != "DYJetsToLL")) || ((dir == "Match_down" && sample != "WJetsToLNu") && (dir == "Match_down" && sample != "DYJetsToLL")) || dir == "UnclusteredEnUp" || dir == "UnclusteredEnDown" || dir == "JetEnUp" || dir == "JetEnDown" || dir == "JetResUp" || dir == "JetResDown" || dir == "TauEnUp" || dir == "TauEnDown" || dir == "MuonEnUp" || dir == "MuonEnDown" || dir == "ElectronEnUp" || dir == "ElectronEnDown"){
file = new TFile("rootFilesV4/central/"+ sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
}else if(dir == "JES_up")
file = new TFile("rootFilesV4/"+ dir +"/"+ sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_plusJES.root");
else if(dir == "JES_down")
file = new TFile("rootFilesV4/"+ dir +"/"+ sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_minusJES.root");
else if(dir == "BJet_up")
file = new TFile("rootFilesV4/"+ dir +"/"+ sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_plusBjet.root");
else if(dir == "BJet_down")
file = new TFile("rootFilesV4/"+ dir +"/"+ sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_minusBJet.root");
else if(dir == "PU_up")
file = new TFile("rootFilesV4/"+ dir +"/"+ sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_PU_72765mb.root");
else if(dir == "PU_down")
file = new TFile("rootFilesV4/"+ dir +"/"+ sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_PU_65835mb.root");
else if(dir == "Scale_up_tt" && sample == "TTJet")
file = new TFile("rootFilesV4/central/TTJets-scaleup_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Scale_down_tt" && sample == "TTJet")
file = new TFile("rootFilesV4/central/TTJets-scaledown_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Scale_up" && sample == "WJetsToLNu")
file = new TFile("rootFilesV4/central/WJets-scaleup_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Scale_up" && sample == "DYJetsToLL")
file = new TFile("rootFilesV4/central/ZJets-scaleup_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Scale_down" && sample == "WJetsToLNu")
file = new TFile("rootFilesV4/central/WJets-scaledown_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Scale_down" && sample == "DYJetsToLL")
file = new TFile("rootFilesV4/central/ZJets-scaledown_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Match_up_tt" && sample == "TTJet")
file = new TFile("rootFilesV4/central/TTJets-matchingup_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Match_down_tt" && sample == "TTJet")
file = new TFile("rootFilesV4/central/TTJets-matchingdown_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Match_up" && sample == "WJetsToLNu")
file = new TFile("rootFilesV4/central/WJets-matchingup_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Match_up" && sample == "DYJetsToLL")
file = new TFile("rootFilesV4/central/ZJets-matchingup_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Match_down" && sample == "WJetsToLNu")
file = new TFile("rootFilesV4/central/WJets-matchingdown_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(dir == "Match_down" && sample == "DYJetsToLL")
file = new TFile("rootFilesV4/central/ZJets-matchingdown_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
else if(sample == "TTJet_MCNLO")
file = new TFile("rootFilesV4/central/TTJet_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_MCatNLO.root");
else if(sample == "TTJet_POWHEG")
file = new TFile("rootFilesV4/central/TTJet_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET_POWHEG.root");
TH1D* plot;
TH1D* plot2;
TH1D* plot3;
TH1D* plot4;
TH1D* plot5;
cout<< "folder: " << "TTbar_plus_X_analysis/MuPlusJets/Ref selection/"+Obj+"/muon_absolute_eta_2btags" << endl;
plot = (TH1D*) file->Get("TTbar_plus_X_analysis/MuPlusJets/Ref selection/"+Obj+"/muon_absolute_eta_2btags");
plot2 = (TH1D*) file->Get("TTbar_plus_X_analysis/MuPlusJets/Ref selection/"+Obj+"/muon_absolute_eta_3btags");
plot3 = (TH1D*) file->Get("TTbar_plus_X_analysis/MuPlusJets/Ref selection/"+Obj+"/muon_absolute_eta_4orMoreBtags");
plot4 = (TH1D*) file->Get("TTbar_plus_X_analysis/MuPlusJets/Ref selection/"+Obj+"/muon_absolute_eta_0btag");
plot5 = (TH1D*) file->Get("TTbar_plus_X_analysis/MuPlusJets/Ref selection/"+Obj+"/muon_absolute_eta_1btag");
plot->Sumw2();
plot2->Sumw2();
plot3->Sumw2();
plot4->Sumw2();
plot5->Sumw2();
plot->Add(plot2);
plot->Add(plot3);
if(ge4 ==true){
plot->Add(plot4);
plot->Add(plot5);
}
if(dir == "central"){
//plot->SetFillColor(kRed+1);
plot->SetLineColor(kRed+1);
}else if(dir == "JES_up"){
plot->SetLineColor(kGreen-3);
//plot->SetFillColor(kGreen-3);
}else if(dir == "JES_down"){
//plot->SetFillColor(kAzure-2);
plot->SetLineColor(kAzure-2);
}
plot->Scale(1/plot->Integral());
plot->Rebin(rebinFact);
plot->SetDirectory(gROOT);
file->Close();
return plot;
}
TH1D * fillPlot2012_gammaJets::Plot(string var, string name, int nbin, double min, double max, int signal) {
Long64_t nentries = fChain->GetEntriesFast();
Long64_t nbytes = 0, nb = 0;
TH1D * tempplot = new TH1D(name.c_str(),name.c_str(),nbin,min,max);
tempplot->Sumw2();
ofstream outfile;
if (writetxt != "") {
string filename(writetxt);
outfile.open(filename.c_str());
}
// photonID MVA
tmvaReaderID_Single_Endcap=0;
tmvaReaderID_Single_Barrel=0;
if (!tmvaReaderID_Single_Barrel || !tmvaReaderID_Single_Endcap) SetAllMVA();
// Loop over entries
int enMax = nentries;
for (Long64_t jentry=0; jentry<enMax;jentry++) {
Long64_t ientry = LoadTree(jentry);
if (jentry%100000==0) cout << jentry << endl;
if (ientry < 0) break;
nb = fChain->GetEntry(jentry); nbytes += nb;
// patological events
if (npu>=60) continue;
// test to remove possible duplicated events between samples
// if ( signal<6 && (ISRGamma>0 || FSRGamma>0) ) continue; // chiara
// first vertex must be good
if (vtxId<0) continue;
// HLT selection - for data only
if ( signal==100 && hltcut==30 && !isHLT_30() ) continue;
if ( signal==100 && hltcut==50 && !isHLT_50() ) continue;
if ( signal==100 && hltcut==75 && !isHLT_75() ) continue;
if ( signal==100 && hltcut==90 && !isHLT_90() ) continue;
// vector with index of fully selected gammas
vector<int> fullSelected;
// apply the full cut based photonID selection (medium WP)
// https://twiki.cern.ch/twiki/bin/view/CMS/CutBasedPhotonID2012
float EA_chargedH[7] = { 0.012, 0.010, 0.014, 0.012, 0.016, 0.020, 0.012};
float EA_neutralH[7] = { 0.030, 0.057, 0.039, 0.015, 0.024, 0.039, 0.072};
float EA_photons[7] = { 0.148, 0.130, 0.112, 0.216, 0.262, 0.260, 0.266};
int theNumber = nPhot_presel;
if (nPhot_presel>100) theNumber = 100;
for (int theGamma=0; theGamma<theNumber; theGamma++) {
// for effective area calculation
int theEAregion = effectiveAreaRegion(etaPhot_presel[theGamma]);
if (theEAregion>6) continue;
// ---------------------------------------------------------------------------
// preselection to really emulate the single gamma HLT requirements (current preselection is H->gg one)
bool isReallyPresel = true;
float preselECAL = pid_jurECAL03_presel[theGamma] - 0.012*ptPhot_presel[theGamma];
float preselHCAL = pid_twrHCAL03_presel[theGamma] - 0.005*ptPhot_presel[theGamma];
float preselTracker = pid_hlwTrack03_presel[theGamma] - 0.002*ptPhot_presel[theGamma];
if ( preselECAL > 5.5) isReallyPresel = false;
if ( preselHCAL > 3.5) isReallyPresel = false;
if ( preselTracker > 3.5) isReallyPresel = false;
if ( theEAregion<2) { // EB
if ( pid_HoverE_presel[theGamma]>0.15 ) isReallyPresel = false;
if ( sEtaEtaPhot_presel[theGamma]>0.024 ) isReallyPresel = false;
} else { // EE
if(pid_HoverE_presel[theGamma]>0.10) isReallyPresel = false;
if (sEtaEtaPhot_presel[theGamma]>0.040) isReallyPresel = false;
}
if( !isReallyPresel ) continue;
// ---------------------------------------------------------------------------
/*
// full 2012 egamma pog cut based selection
bool isFullySel = true;
// isolations corrected with effective areas
float rhoCorrCharged = pid_pfIsoCharged03ForCiC_presel[theGamma] - rhoAllJets*EA_chargedH[theEAregion];
float rhoCorrNeutral = pid_pfIsoNeutrals03ForCiC_presel[theGamma] - rhoAllJets*EA_neutralH[theEAregion];
float rhoCorrPhoton = pid_pfIsoPhotons03ForCiC_presel[theGamma] - rhoAllJets*EA_photons[theEAregion];
if (rhoCorrCharged<0) rhoCorrCharged = 0.;
if (rhoCorrNeutral<0) rhoCorrNeutral = 0.;
if (rhoCorrPhoton<0) rhoCorrPhoton = 0.;
// if(pid_hasMatchedPromptElephot[theGamma]) isFullySel = false; // already applied at preselection level
if (pid_HoverE_presel[theGamma]>0.05) isFullySel = false;
if (theEAregion<2) { // EB
if (sEtaEtaPhot_presel[theGamma]>0.011) isFullySel = false;
if (rhoCorrCharged > 1.5) isFullySel = false;
if (rhoCorrNeutral > 1.0 + 0.04*ptPhot_presel[theGamma]) isFullySel = false;
if (rhoCorrPhoton > 0.7 + 0.005*ptPhot_presel[theGamma]) isFullySel = false;
} else { // EE
if (sEtaEtaPhot_presel[theGamma]>0.033) isFullySel = false;
if (rhoCorrCharged > 1.2) isFullySel = false;
if (rhoCorrNeutral > 1.5 + 0.04*ptPhot_presel[theGamma]) isFullySel = false;
if (rhoCorrPhoton > 1.0 + 0.005*ptPhot_presel[theGamma]) isFullySel = false;
}
if( !isFullySel ) continue;
*/
// photon ID MVA
// float theIdMva = PhotonIDMVA(theGamma);
fullSelected.push_back(theGamma);
}
// choose the two highest pT preselected gammas
// if (fullSelected.size()<2) continue; // chiara: per check Z
if (fullSelected.size()<1) continue;
int firstG = -1;
int secG = -1;
float firstGpt = -999.;
float secGpt = -1000.;
float firstGeta = -999.;
for (int ii=0; ii<fullSelected.size(); ii++) {
int index = fullSelected[ii];
if (ptPhot_presel[index]>firstGpt) {
secGpt = firstGpt;
firstGpt = ptPhot_presel[index];
firstGeta = etaPhot_presel[index];
secG = firstG;
firstG = index;
} else if (ptPhot_presel[index]>secGpt) {
secGpt = ptPhot_presel[index];
secG = index;
}
}
// ptcut to restrict to the wanted range - matching HLT
if (firstGpt<ptphot1_mincut) continue;
if (firstGpt>ptphot1_maxcut) continue;
// make the invariant mass of the two highest pT photons
TLorentzVector gamma1, gamma2;
gamma1.SetPtEtaPhiM(ptPhot_presel[firstG],etaPhot_presel[firstG],phiPhot_presel[firstG],0.);
gamma2.SetPtEtaPhiM(ptPhot_presel[secG],etaPhot_presel[secG],phiPhot_presel[secG],0.);
float invMass = (gamma1+gamma2).M();
// only for Z studies
// if (invMass>110 || invMass<70) continue; // chiara: per check Z
// for ID variables, splitting EB/EE
if (var == "HoE_EB" && fabs(firstGeta)>1.5) continue;
if (var == "HoE_EE" && fabs(firstGeta)<1.5) continue;
if (var == "sigmaIeIe_EB" && fabs(firstGeta)>1.5) continue;
if (var == "sigmaIeIe_EE" && fabs(firstGeta)<1.5) continue;
if (var == "photonIdMva_EB" && fabs(firstGeta)>1.5) continue;
if (var == "photonIdMva_EE" && fabs(firstGeta)<1.5) continue;
// finding variable to be plotted
double variable(0);
if (var == "nvtx") variable = nvtx;
else if (var == "ngamma") variable = nPhot_presel;
else if (var == "sigmaIeIe") variable = sEtaEtaPhot_presel[firstG];
else if (var == "sigmaIeIe_EB") variable = sEtaEtaPhot_presel[firstG];
else if (var == "sigmaIeIe_EE") variable = sEtaEtaPhot_presel[firstG];
else if (var == "HoE") variable = pid_HoverE_presel[firstG];
else if (var == "HoE_EB") variable = pid_HoverE_presel[firstG];
else if (var == "HoE_EE") variable = pid_HoverE_presel[firstG];
else if (var == "photonIdMva") variable = PhotonIDMVA(firstG);
else if (var == "photonIdMva_EB") variable = PhotonIDMVA(firstG);
else if (var == "photonIdMva_EE") variable = PhotonIDMVA(firstG);
else if (var == "chargedIso") variable = pid_pfIsoCharged03ForCiC_presel[firstG];
else if (var == "neutralIso") variable = pid_pfIsoNeutrals03ForCiC_presel[firstG];
else if (var == "gammaIso") variable = pid_pfIsoPhotons03ForCiC_presel[firstG];
else if (var == "etaL") variable = gamma1.Eta();
else if (var == "ptL") variable = firstGpt;
else if (var == "mass") variable = invMass;
else{
cout << "NO SUCH VARIABLE IMPLEMENTED!" << endl;
break;
}
// pu/pt reweighting
float weight(1);
if (dopureweight && hltcut==30) weight *= pu_weight30;
if (dopureweight && hltcut==50) weight *= pu_weight50;
if (dopureweight && hltcut==75) weight *= pu_weight75;
if (dopureweight && hltcut==90) weight *= pu_weight90;
tempplot->Fill(variable, weight);
}
if (writetxt != "") outfile.close();
return tempplot;
}
void QCDxcheck_shape() {
setTDRStyle();
//MET will need choice of variable at the top
// TString Variable = "MET";
// int Nbins = 6;
// TString bins[6] = {"_bin_0-25", "_bin_25-45", "_bin_45-70", "_bin_70-100", "_bin_100-150", "_bin_150-inf"};
// double xbins[7] = {0,25,45,70,100,150, 250};
// TString Xtitle = "E_{T}^{miss} ";
TString Variable ="WPT";
int Nbins = 6;
TString bins[6] = {"_bin_0-40", "_bin_40-70", "_bin_70-100", "_bin_100-130", "_bin_130-170", "_bin_170-inf"};
double xbins[7] = {1,40,70,100,130,170,220};
TString Xtitle = "p_{T}(W)";
// TString Variable ="MT";
// int Nbins = 5;
// TString bins[5] = {"_bin_0-30", "_bin_30-50", "_bin_50-80", "_bin_80-100", "_bin_100-inf"};
// double xbins[6] = {1,30,50,80,100,150};
// TString Xtitle = "M(W)_{T}";
// TString Variable ="ST";
// int Nbins = 7;
// TString bins[7] = {"_bin_0-350","_bin_350-400", "_bin_400-450", "_bin_450-500", "_bin_500-580", "_bin_580-700", "_bin_700-inf"};
// double xbins[8] = {1,350,400,450,500,580,700,1000};
// TString Xtitle = "S_{T}";
// TString Variable ="HT";
// int Nbins = 7;
// TString bins[7] = {"_bin_0-240", "_bin_240-280", "_bin_280-330", "_bin_330-380", "_bin_380-450", "_bin_450-600", "_bin_600-inf"};
// double xbins[8] = {1,240,280,330,380,450,600,800};
// TString Xtitle = "H_{T}";
//differential histo
TH1D *qcd_data = new TH1D("qcd data", "", Nbins, xbins);
for(int i = 0; i < Nbins; i++) {
TString Obj;
if(Variable == "MET") {
Obj = "Binned_"+Variable+"_Analysis/patType1CorrectedPFMet"+bins[i]+"/muon_absolute_eta_";
} else if(Variable == "HT") {
Obj = "Binned_"+Variable+"_Analysis/HT"+bins[i]+"/muon_absolute_eta_";
} else {
Obj = "Binned_"+Variable+"_Analysis/"+Variable+"_with_patType1CorrectedPFMet"+bins[i]+"/muon_absolute_eta_";
}
double error;
double content = getQCD(Variable, Obj, 1, &error);
qcd_data->SetBinContent(i+1, content);
qcd_data->SetBinError(i+1, error);
}
qcd_data->Sumw2();
qcd_data->Scale(1./qcd_data->Integral());
for(int i = 0; i < Nbins; i++) {
cout << qcd_data->GetBinContent(i+1) << ", ";
}
cout << " " << endl;
//get fit results
TFile* fit_file = new TFile("outFiles/diffResults_"+Variable+"_bin_0-40.root");
TH1D* fit = (TH1D*) fit_file->Get("central_dir/central_qcd_fit");
fit->SetLineColor(kRed);
fit->SetMarkerColor(kRed);
fit->SetMarkerSize(0.1);
fit->Sumw2();
fit->Scale(1./fit->Integral());
TFile* fit_200f = new TFile("outFiles/diffResults_"+Variable+".root");
TH1D* fit_200 = (TH1D*) fit_200f->Get("central_dir/central_qcd_fit");
fit_200->SetLineColor(kGreen);
fit_200->SetMarkerColor(kGreen);
fit_200->SetMarkerSize(0.1);
fit_200->Sumw2();
fit_200->Scale(1./fit_200->Integral());
TFile* fit_noconf = new TFile("outFiles/diffResults_"+Variable+"_bin_100-130.root");
TH1D* fit_nocon = (TH1D*) fit_noconf->Get("central_dir/central_qcd_fit");
fit_nocon->SetLineColor(kMagenta);
fit_nocon->SetMarkerColor(kMagenta);
fit_nocon->SetMarkerSize(0.1);
fit_nocon->Sumw2();
fit_nocon->Scale(1./fit_nocon->Integral());
TFile* fit_dataf = new TFile("outFiles/diffResults_"+Variable+"_bins.root");
TH1D* fit_data = (TH1D*) fit_dataf->Get("central_dir/central_qcd_fit");
fit_data->SetLineColor(kYellow);
fit_data->SetMarkerColor(kYellow);
fit_data->Sumw2();
fit_data->Scale(1./fit_data->Integral());
TCanvas *c1 = new TCanvas("Plot","Plot",900, 600);
//qcd_data->Draw("E");
//qcd_data->SetAxisRange(MinXs[3], MaxXs[3], "X");
fit_200->Draw("E1");
fit->Draw("E1same");
fit_data->Draw("E1same");
fit_nocon->Draw("E1same");
//qcd_data->Draw("E1same");
TLegend *tleg;
tleg = new TLegend(0.45,0.55,0.85,0.9);
tleg->SetTextSize(0.03);
tleg->SetBorderSize(0);
tleg->SetFillColor(10);
//tleg->AddEntry(qcd_data , "Data Driven E_{T}^{miss} (QCD non-iso)" , "lep");
tleg->AddEntry(fit_data , "Fit Results, different bins " , "lep");
tleg->AddEntry(fit , "Fit Results, |#eta| from WPT 0-40" , "lep");
tleg->AddEntry(fit_200 , "Fit Results, nominal |#eta|" , "lep");
tleg->AddEntry(fit_nocon , "Fit Results, |#eta| from WPT 100-130" , "lep");
tleg->Draw();
fit_200->GetYaxis()->SetTitle("Normalised Events");
fit_200->GetYaxis()->SetTitleSize(0.05);
fit_200->GetXaxis()->SetTitle(Xtitle+" [GeV]");
fit_200->GetXaxis()->SetTitleSize(0.05);
TText* textPrelim = doPrelim(0.12,0.96);
textPrelim->Draw();
c1->SaveAs("plots/QCDxcheck_shape/"+Variable+"shapecheck.png");
}
void plotTurnonCurve(char* var, double min, double max, int NPVmin=0, int NPVmax=50) {
TString path("./uct15-plots/turnon/Taus/noPUC/isoStudies");
float PUcut = 1.0;
TFile * f1;
if( 1 ) {
f1 = TFile::Open("/uscms_data/d2/aosorio/scratch0/UCT2015_BKP/root_files/uct_eff_trees_mutau_BC.root");
}
TTree* tree1 = (TTree*) gDirectory->Get("rlxTauEfficiency/Ntuple");
int nBins = 10;
if(var=="Pt") nBins = (int) ((max - min) / 2);
if(var=="Eta") nBins = (int) ((max - min) / 0.5);
nBins = 20;
double RecoPtmin = 0.0;
////////////////////////////////////////////////////////////////////////////////
// read the same selection used for the Rate/Efficiency plots
//
int lineWidth = 2;
std::ifstream *m_in = new std::ifstream("config/efficiency_TS_WP_WI_Selection.dat");
if ( !m_in->is_open() ) {
std::cout << " I could not open this file" << std::endl;
exit(1);
}
TList * v_Selection = new TList();
char line[256];
while(1) {
m_in->getline( line, 256 );
TObjString *selection = new TObjString( line );
v_Selection->Add( selection );
if ( m_in->eof() ) break;
}
v_Selection->RemoveLast();
TList * v_Labels = new TList();
TObjString *label;
label = new TObjString( "L1 Upgrade Tau" );
v_Labels->Add( label );
label = new TObjString( "L1 Upgrade Iso Tau" );
v_Labels->Add( label );
////////////////////////////////////////////////////////////////////////////////
//This is the standard cut based on nPVS
char cuts[100];
sprintf(cuts, " l1gMatch && recoPt > %d ", NPVmin, NPVmax, RecoPtmin);
int min_sel = 0;
int max_sel = v_Selection->GetEntries();
max_sel = 1; //Only focus on the relaxed tau plots - they go to TDR
for( int k = min_sel; k < max_sel; ++k ) {
TString egsel = ((TObjString*)v_Selection->At(k))->GetString();
std::cout << egsel.Data() << std::endl;
///// ----- Create all the histograms ----------
TH1D* allReco = new TH1D("allReco", "", nBins, min, max);
allReco->SetLineWidth(2);
allReco->Sumw2();
TH1D* l1Pt20 = allReco->Clone("l1Pt20");
if(var=="Pt") l1Pt20->GetYaxis()->SetRangeUser(0.0, 1.1);
if(var=="Eta") l1Pt20->GetYaxis()->SetRangeUser(0.55, 1.05);
l1Pt20->GetYaxis()->SetTitle("Efficiency");
char* xtitle = var;
if(var=="Pt") xtitle = "Offline tau p_{T} [GeV]";
if(var=="Eta") xtitle = "Offline tau #eta";
l1Pt20->GetXaxis()->SetTitle(xtitle);
l1Pt20->GetXaxis()->SetTitleOffset(1.3);
l1Pt20->SetMinimum(0.);
l1Pt20->SetMaximum(1.2);
TH1D* l1Pt25 = allReco->Clone("l1Pt25");
l1Pt25->SetLineColor(6);
l1Pt25->SetMarkerColor(6);
TH1D* l1Pt30 = allReco->Clone("l1Pt30");
l1Pt30->SetLineColor(7);
l1Pt30->SetMarkerColor(7);
TString varName = TString("reco") + TString(var);
TH1D* l1Pt40 = allReco->Clone("l1Pt40");
l1Pt40->SetLineColor(8);
l1Pt40->SetMarkerColor(8);
TString varName = TString("reco") + TString(var);
TH1D* l1Pt60 = allReco->Clone("l1Pt60");
l1Pt60->SetLineColor(2);
l1Pt60->SetMarkerColor(2);
TString varName = TString("reco") + TString(var);
///// ----- Draw from tree ----------
tree1->Draw(varName+TString(">>allReco"),cuts,"goff");
tree1->Draw(varName+TString(">>l1Pt20"),TString(cuts)+TString(" && l1gPt>20. && ")+egsel,"goff");
tree1->Draw(varName+TString(">>l1Pt25"),TString(cuts)+TString(" && l1gPt>25. && ")+egsel,"goff");
tree1->Draw(varName+TString(">>l1Pt30"),TString(cuts)+TString(" && l1gPt>30. && ")+egsel,"goff");
tree1->Draw(varName+TString(">>l1Pt40"),TString(cuts)+TString(" && l1gPt>40. && ")+egsel,"goff");
tree1->Draw(varName+TString(">>l1Pt60"),TString(cuts)+TString(" && l1gPt>60. && ")+egsel,"goff");
//// ---- Now divide by allReco histogram to obtain efficiency ----
l1Pt20->Divide(allReco);
l1Pt25->Divide(allReco);
l1Pt30->Divide(allReco);
l1Pt40->Divide(allReco);
l1Pt60->Divide(allReco);
TCanvas* canEffIso = new TCanvas("canEffIso","",500,500);
l1Pt20->Draw("e");
l1Pt20->Draw("hist same");
l1Pt25->Draw("esame");
l1Pt25->Draw("hist same");
l1Pt30->Draw("esame");
l1Pt30->Draw("hist same");
l1Pt40->Draw("esame");
l1Pt40->Draw("hist same");
l1Pt60->Draw("esame");
l1Pt60->Draw("hist same");
TString legend_Label = ((TObjString*)v_Labels->At(k))->GetString();
TLegend* legend = new TLegend(0.5,0.22,0.9,0.45);
legend->SetFillColor(0);
legend->SetBorderSize(0);
legend->SetTextFont(62);
legend->SetTextSize(0.034);
legend->AddEntry(l1Pt20, "L1 p_{T} > 20 GeV", "PLE");
legend->AddEntry(l1Pt25, "L1 p_{T} > 25 GeV", "PLE");
legend->AddEntry(l1Pt30, "L1 p_{T} > 30 GeV", "PLE");
legend->AddEntry(l1Pt40, "L1 p_{T} > 40 GeV", "PLE");
legend->AddEntry(l1Pt60, "L1 p_{T} > 60 GeV", "PLE");
legend->Draw();
cmsPrelim();
canEffIso->SetGridx();
canEffIso->SetGridy();
TLatex * tex = new TLatex(15.4, 1.1, legend_Label.Data() );
tex->SetTextFont(42);
tex->SetLineWidth(2);
tex->Draw();
canEffIso->Modified();
std::stringstream saveAs;
saveAs.str("");
saveAs << path << "/eps/rlx_tau_eff_trg20_WP_" << varName << "_" << NPVmin << "_" << NPVmax << "_" << k << "_" << PUcut
<< "_" << lineWidth << ".eps";
canEffIso->SaveAs( saveAs.str().c_str() );
saveAs.str("");
saveAs << path << "/eps/rlx_tau_eff_trg20_WP_" << varName << "_" << NPVmin << "_" << NPVmax << "_" << k << "_" << PUcut
<< "_" << lineWidth << ".pdf";
canEffIso->SaveAs( saveAs.str().c_str() );
saveAs.str("");
saveAs << path << "/png/rlx_tau_eff_trg20_WP_" << varName << "_" << NPVmin << "_" << NPVmax << "_" << k << "_" << PUcut
<< "_" << lineWidth << ".png";
canEffIso->SaveAs( saveAs.str().c_str() );
//--------- Finally clean up the memory -------
delete allReco;
delete l1Pt20;
delete l1Pt25;
delete l1Pt30;
delete l1Pt40;
delete l1Pt60;
delete canEffIso;
delete legend;
}
}
void secondJet(const std::string& dataset, std::string algoType, std::string partonType="ALL") {
PARTONTYPE = partonType;
std::string infile_dataset = dataset;
TChain* tree = new TChain("jetTree");
std::string infileName;
std::string prefix = "PhotonJet_2ndLevelTree_";
std::string suffix = "_"+algoType;
if( dataset=="PhotonJet") {
tree->Add("PhotonJet_2ndLevelTree_PhotonJet15.root/jetTree");
tree->Add("PhotonJet_2ndLevelTree_PhotonJet30.root/jetTree");
tree->Add("PhotonJet_2ndLevelTree_PhotonJet80.root/jetTree");
tree->Add("PhotonJet_2ndLevelTree_PhotonJet170.root/jetTree");
tree->Add("PhotonJet_2ndLevelTree_PhotonJet300.root/jetTree");
tree->Add("PhotonJet_2ndLevelTree_PhotonJet470.root/jetTree");
tree->Add("PhotonJet_2ndLevelTree_PhotonJet800.root/jetTree");
tree->Add("PhotonJet_2ndLevelTree_PhotonJet1400.root/jetTree");
} else if( dataset=="PhotonJet_Summer09") {
infileName = prefix + "PhotonJet_Summer09_Pt15" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
infileName = prefix + "PhotonJet_Summer09_Pt30" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
infileName = prefix + "PhotonJet_Summer09_Pt80" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
infileName = prefix + "PhotonJet_Summer09_Pt170" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
infileName = prefix + "PhotonJet_Summer09_Pt300" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
infileName = prefix + "PhotonJet_Summer09_Pt470" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
infileName = prefix + "PhotonJet_Summer09_Pt800" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
infileName = prefix + "PhotonJet_Summer09_Pt1400" + suffix + ".root/jetTree";
tree->Add(infileName.c_str());
std::cout << "-> Added " << infileName << ". Tree has " << tree->GetEntries() << " entries." << std::endl;
} else {
if( dataset=="" )
infileName = "PhotonJet_2ndLevelTree.root/jetTree";
else
infileName = "PhotonJet_2ndLevelTree_"+infile_dataset+".root/jetTree";
std::cout << "Opening file: " << infileName << std::endl;
tree->Add(infileName.c_str());
}
if( NOEVENTWEIGHTS_ ) suffix = "_NOWEIGHTS" + suffix;
bool draw=true;
TH1D* h1_deltaR_phot_2ndJet = new TH1D("deltaR_phot_2ndJet", "", 100, 0., 1.);
Float_t eventWeight;
tree->SetBranchAddress("eventWeight", &eventWeight);
Bool_t matchedToMC;
tree->SetBranchAddress("matchedToMC", &matchedToMC);
Bool_t passedPhotonID_medium;
tree->SetBranchAddress("passedPhotonID_medium", &passedPhotonID_medium);
Float_t ptHat;
tree->SetBranchAddress("ptHat", &ptHat);
Float_t ePhotReco;
tree->SetBranchAddress("ePhotReco", &ePhotReco);
Float_t ptPhotReco;
tree->SetBranchAddress("ptPhotReco", &ptPhotReco);
Float_t etaPhotReco;
tree->SetBranchAddress("etaPhotReco", &etaPhotReco);
Float_t phiPhotReco;
tree->SetBranchAddress("phiPhotReco", &phiPhotReco);
Float_t ePhotGen;
tree->SetBranchAddress("ePhotGen", &ePhotGen);
Float_t ptPhotGen;
tree->SetBranchAddress("ptPhotGen", &ptPhotGen);
Float_t etaPhotGen;
tree->SetBranchAddress("etaPhotGen", &etaPhotGen);
Float_t phiPhotGen;
tree->SetBranchAddress("phiPhotGen", &phiPhotGen);
Float_t hcalIsoPhotReco;
tree->SetBranchAddress("hcalIsoPhotReco", &hcalIsoPhotReco);
Float_t ecalIsoPhotReco;
tree->SetBranchAddress("ecalIsoPhotReco", &ecalIsoPhotReco);
Int_t nTrkIsoPhotReco;
tree->SetBranchAddress("nTrkIsoPhotReco", &nTrkIsoPhotReco);
Float_t ptTrkIsoPhotReco;
tree->SetBranchAddress("ptTrkIsoPhotReco", &ptTrkIsoPhotReco);
Float_t clusterMajPhotReco;
tree->SetBranchAddress("clusterMajPhotReco", &clusterMajPhotReco);
Float_t clusterMinPhotReco;
tree->SetBranchAddress("clusterMinPhotReco", &clusterMinPhotReco);
Float_t eJetReco;
tree->SetBranchAddress("eJetReco", &eJetReco);
Float_t ptJetReco;
tree->SetBranchAddress("ptJetReco", &ptJetReco);
Float_t etaJetReco;
tree->SetBranchAddress("etaJetReco", &etaJetReco);
Float_t phiJetReco;
tree->SetBranchAddress("phiJetReco", &phiJetReco);
Float_t eTracksReco;
tree->SetBranchAddress("eTracksReco", &eTracksReco);
Float_t eJetGen;
tree->SetBranchAddress("eJetGen", &eJetGen);
Float_t ptJetGen;
tree->SetBranchAddress("ptJetGen", &ptJetGen);
Float_t etaJetGen;
tree->SetBranchAddress("etaJetGen", &etaJetGen);
Float_t phiJetGen;
tree->SetBranchAddress("phiJetGen", &phiJetGen);
Float_t eTracksGen;
tree->SetBranchAddress("eTracksGen", &eTracksGen);
Float_t ptPart;
tree->SetBranchAddress("ptPart", &ptPart);
Float_t etaPart;
tree->SetBranchAddress("etaPart", &etaPart);
Float_t phiPart;
tree->SetBranchAddress("phiPart", &phiPart);
Int_t pdgIdPart;
tree->SetBranchAddress("pdgIdPart", &pdgIdPart);
Float_t pt2ndJetReco;
tree->SetBranchAddress("pt2ndJetReco", &pt2ndJetReco);
Float_t eta2ndJetReco;
tree->SetBranchAddress("eta2ndJetReco", &eta2ndJetReco);
Float_t phi2ndJetReco;
tree->SetBranchAddress("phi2ndJetReco", &phi2ndJetReco);
Float_t pt2ndJetGen;
tree->SetBranchAddress("pt2ndJetGen", &pt2ndJetGen);
Float_t eta2ndJetGen;
tree->SetBranchAddress("eta2ndJetGen", &eta2ndJetGen);
Float_t phi2ndJetGen;
tree->SetBranchAddress("phi2ndJetGen", &phi2ndJetGen);
Float_t ptSecondaryJetsReco;
tree->SetBranchAddress("ptSecondaryJetsReco", &ptSecondaryJetsReco);
Float_t ptSecondaryJetsGen;
tree->SetBranchAddress("ptSecondaryJetsGen", &ptSecondaryJetsGen);
Int_t nPoints = 5;
//absolute 2nd jet pt binning histograms
std::vector< std::vector< TH1D* > > h1_RecoPhot_vs_gen;
std::vector< std::vector< TH1D* > > h1_RecoGen_vs_gen;
std::vector< std::vector< TH1D* > > h1_GenPart_vs_gen;
std::vector< std::vector< TH1D* > > h1_PartPhot_vs_gen;
std::vector< std::vector< TH1D* > > h1_GenPhot_vs_gen;
std::vector< std::vector< TH1D* > > h1_pt2ndJetGenMean;
std::vector< std::vector< TH1D* > > h1_RecoPhot_vs_reco;
std::vector< std::vector< TH1D* > > h1_RecoGen_vs_reco;
std::vector< std::vector< TH1D* > > h1_GenPart_vs_reco;
std::vector< std::vector< TH1D* > > h1_PartPhot_vs_reco;
std::vector< std::vector< TH1D* > > h1_GenPhot_vs_reco;
std::vector< std::vector< TH1D* > > h1_pt2ndJetRecoMean;
//relative 2nd jet pt binning histograms
std::vector< std::vector< TH1D* > > h1_RecoPhot_vs_genRel;
std::vector< std::vector< TH1D* > > h1_RecoGen_vs_genRel;
std::vector< std::vector< TH1D* > > h1_GenPart_vs_genRel;
std::vector< std::vector< TH1D* > > h1_PartPhot_vs_genRel;
std::vector< std::vector< TH1D* > > h1_GenPhot_vs_genRel;
std::vector< std::vector< TH1D* > > h1_pt2ndJetGenRelMean;
std::vector< std::vector< TH1D* > > h1_RecoPhot_vs_recoRel;
std::vector< std::vector< TH1D* > > h1_RecoGen_vs_recoRel;
std::vector< std::vector< TH1D* > > h1_GenPart_vs_recoRel;
std::vector< std::vector< TH1D* > > h1_PartPhot_vs_recoRel;
std::vector< std::vector< TH1D* > > h1_GenPhot_vs_recoRel;
std::vector< std::vector< TH1D* > > h1_pt2ndJetRecoRelMean;
//pt bins:
//int nBins_pt = 24;
int nBins_pt = 16;
int i=0;
Double_t Lower[nBins_pt];
Lower[i++] = 20.;
Lower[i++] = 42.;
Lower[i++] = 62.;
Lower[i++] = 87.;
Lower[i++] = 108.;
Lower[i++] = 140.;
Lower[i++] = 183.;
Lower[i++] = 239.;
Lower[i++] = 312.;
Lower[i++] = 407.;
Lower[i++] = 530.;
Lower[i++] = 691.;
Lower[i++] = 902.;
Lower[i++] = 1176.;
Lower[i++] = 1533.;
Lower[i++] = 2000.;
//Lower[i++] = 97.;
//Lower[i++] = 108.;
//Lower[i++] = 121.;
//Lower[i++] = 135.;
//Lower[i++] = 152.;
//Lower[i++] = 172.;
//Lower[i++] = 197.;
//Lower[i++] = 231.;
//Lower[i++] = 283.;
//Lower[i++] = 397.;
//Lower[i++] = 600.;
//Lower[i++] = 1000.;
//Lower[i++] = 2000.;
//Lower[i++] = 20.;
//Lower[i++] = 25.;
//Lower[i++] = 30.;
//Lower[i++] = 36.;
//Lower[i++] = 42.;
//Lower[i++] = 48.;
//Lower[i++] = 55.;
//Lower[i++] = 62.;
//Lower[i++] = 70.;
//Lower[i++] = 78.;
//Lower[i++] = 87.;
//Lower[i++] = 97.;
//Lower[i++] = 108.;
//Lower[i++] = 121.;
//Lower[i++] = 135.;
//Lower[i++] = 152.;
//Lower[i++] = 172.;
//Lower[i++] = 197.;
//Lower[i++] = 231.;
//Lower[i++] = 283.;
//Lower[i++] = 397.;
//Lower[i++] = 600.;
//Lower[i++] = 1000.;
//Lower[i++] = 2000.;
TH2D* h2_response_vs_ptPhot = new TH2D("response_vs_ptPhot", "", nBins_pt-1, Lower, 120, 0., 2.);
h2_response_vs_ptPhot->Sumw2();
TH2D* h2_ptPhotMean_vs_pt_cutOn2ndJet = new TH2D("ptPhotMean_vs_pt_cutOn2ndJet", "", nBins_pt-1, Lower, 2200, 0., 2200.);
h2_ptPhotMean_vs_pt_cutOn2ndJet->Sumw2();
//ptPhot TH2 for x-axis points on vs. pt spectra:
TH2D* h2_ptPhotMean_vs_pt= new TH2D("ptPhotMean_vs_pt", "", nBins_pt-1, Lower, 2200, 0., 2200.);
h2_ptPhotMean_vs_pt->Sumw2();
Float_t minPt = 5.;
Float_t ptStep = 5.;
for( int i_ptBin=0; i_ptBin<nBins_pt; ++i_ptBin ) {
std::vector< TH1D* > RecoPhot_vs_gen;
h1_RecoPhot_vs_gen.push_back( RecoPhot_vs_gen );
std::vector< TH1D* > RecoGen_vs_gen;
h1_RecoGen_vs_gen.push_back( RecoGen_vs_gen );
std::vector< TH1D* > GenPart_vs_gen;
h1_GenPart_vs_gen.push_back( GenPart_vs_gen );
std::vector< TH1D* > PartPhot_vs_gen;
h1_PartPhot_vs_gen.push_back( PartPhot_vs_gen );
std::vector< TH1D* > GenPhot_vs_gen;
h1_GenPhot_vs_gen.push_back( GenPhot_vs_gen );
std::vector< TH1D* > pt2ndJetGenMean;
h1_pt2ndJetGenMean.push_back( pt2ndJetGenMean );
std::vector< TH1D* > RecoPhot_vs_reco;
h1_RecoPhot_vs_reco.push_back( RecoPhot_vs_reco );
std::vector< TH1D* > RecoGen_vs_reco;
h1_RecoGen_vs_reco.push_back( RecoGen_vs_reco );
std::vector< TH1D* > GenPart_vs_reco;
h1_GenPart_vs_reco.push_back( GenPart_vs_reco );
std::vector< TH1D* > PartPhot_vs_reco;
h1_PartPhot_vs_reco.push_back( PartPhot_vs_reco );
std::vector< TH1D* > GenPhot_vs_reco;
h1_GenPhot_vs_reco.push_back( GenPhot_vs_reco );
std::vector< TH1D* > pt2ndJetRecoMean;
h1_pt2ndJetRecoMean.push_back( pt2ndJetRecoMean );
std::vector< TH1D* > RecoPhot_vs_genRel;
h1_RecoPhot_vs_genRel.push_back( RecoPhot_vs_genRel );
std::vector< TH1D* > RecoGen_vs_genRel;
h1_RecoGen_vs_genRel.push_back( RecoGen_vs_genRel );
std::vector< TH1D* > GenPart_vs_genRel;
h1_GenPart_vs_genRel.push_back( GenPart_vs_genRel );
std::vector< TH1D* > PartPhot_vs_genRel;
h1_PartPhot_vs_genRel.push_back( PartPhot_vs_genRel );
std::vector< TH1D* > GenPhot_vs_genRel;
h1_GenPhot_vs_genRel.push_back( GenPhot_vs_genRel );
std::vector< TH1D* > pt2ndJetGenRelMean;
h1_pt2ndJetGenRelMean.push_back( pt2ndJetGenRelMean );
std::vector< TH1D* > RecoPhot_vs_recoRel;
h1_RecoPhot_vs_recoRel.push_back( RecoPhot_vs_recoRel );
std::vector< TH1D* > RecoGen_vs_recoRel;
h1_RecoGen_vs_recoRel.push_back( RecoGen_vs_recoRel );
std::vector< TH1D* > GenPart_vs_recoRel;
h1_GenPart_vs_recoRel.push_back( GenPart_vs_recoRel );
std::vector< TH1D* > PartPhot_vs_recoRel;
h1_PartPhot_vs_recoRel.push_back( PartPhot_vs_recoRel );
std::vector< TH1D* > GenPhot_vs_recoRel;
h1_GenPhot_vs_recoRel.push_back( GenPhot_vs_recoRel );
std::vector< TH1D* > pt2ndJetRecoRelMean;
h1_pt2ndJetRecoRelMean.push_back( pt2ndJetRecoRelMean );
int iPt = minPt;
char histName[30];
Int_t nBins = 50;
//absolute second jet pt binning histograms:
//absolute binning: 5-10GeV 10-15GeV 15-20GeV 20-25GeV 25-30GeV
for( int i=0; i<nPoints; ++i) {
TH1D* tmp;
sprintf(histName, "r_RecoPhot_vs_Gen_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoPhot_vs_gen[i_ptBin].push_back(tmp);
sprintf(histName, "r_RecoGen_vs_Gen_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoGen_vs_gen[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPart_vs_Gen_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPart_vs_gen[i_ptBin].push_back(tmp);
sprintf(histName, "r_PartPhot_vs_Gen_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_PartPhot_vs_gen[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPhot_vs_Gen_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPhot_vs_gen[i_ptBin].push_back(tmp);
sprintf(histName, "pt2ndJetGenMean_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, iPt, iPt+ptStep);
tmp->Sumw2();
h1_pt2ndJetGenMean[i_ptBin].push_back(tmp);
sprintf(histName, "r_RecoPhot_vs_Reco_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoPhot_vs_reco[i_ptBin].push_back(tmp);
sprintf(histName, "r_RecoGen_vs_Reco_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoGen_vs_reco[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPart_vs_Reco_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPart_vs_reco[i_ptBin].push_back(tmp);
sprintf(histName, "r_PartPhot_vs_Reco_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_PartPhot_vs_reco[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPhot_vs_Reco_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPhot_vs_reco[i_ptBin].push_back(tmp);
sprintf(histName, "pt2ndJetRecoMean_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, iPt, iPt+ptStep);
tmp->Sumw2();
h1_pt2ndJetRecoMean[i_ptBin].push_back(tmp);
iPt+=ptStep;
} //for nPoints
//relative second jet pt binning histograms:
//relative binning: 5-8%, 8-11%, 11-14%, 14-17%, 17-20% of pt_photon
Float_t minPerc;
Float_t percStep;
//variable relative binning range in different pt regions
//if( Lower[i_ptBin]<=60.) {
// minPerc = 15.;
// percStep = 3.;
if( Lower[i_ptBin]<=80.) {
minPerc = 8.;
percStep = 3.;
} else if( Lower[i_ptBin]<=350.) {
minPerc = 5.;
percStep = 3.;
} else {
minPerc = 2.;
percStep = 2.;
}
int iPerc = minPerc;
for( int i=0; i<nPoints; ++i) {
TH1D* tmp;
sprintf(histName, "r_RecoPhot_vs_GenRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoPhot_vs_genRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_RecoGen_vs_GenRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoGen_vs_genRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPart_vs_GenRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPart_vs_genRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_PartPhot_vs_GenRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_PartPhot_vs_genRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPhot_vs_GenRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPhot_vs_genRel[i_ptBin].push_back(tmp);
sprintf(histName, "pt2ndJetGenRelMean_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, iPerc, iPerc+percStep);
tmp->Sumw2();
h1_pt2ndJetGenRelMean[i_ptBin].push_back(tmp);
sprintf(histName, "r_RecoPhot_vs_RecoRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoPhot_vs_recoRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_RecoGen_vs_RecoRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_RecoGen_vs_recoRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPart_vs_RecoRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPart_vs_recoRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_PartPhot_vs_RecoRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_PartPhot_vs_recoRel[i_ptBin].push_back(tmp);
sprintf(histName, "r_GenPhot_vs_RecoRel_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, 0., 2.);
tmp->Sumw2();
h1_GenPhot_vs_recoRel[i_ptBin].push_back(tmp);
sprintf(histName, "pt2ndJetRecoRelMean_%d_%d", i_ptBin, i);
tmp = new TH1D(histName, "", nBins, iPerc, iPerc+percStep);
tmp->Sumw2();
h1_pt2ndJetRecoRelMean[i_ptBin].push_back(tmp);
iPerc+=percStep;
} //for nPoints
} //for ptBins
int nEntries = tree->GetEntries();
//nEntries = 100000;
for(int iEntry=0; iEntry<nEntries; ++iEntry) {
if( (iEntry % 100000)==0 ) std::cout << "Entry: " << iEntry << " /" << nEntries << std::endl;
tree->GetEntry(iEntry);
if( eventWeight <= 0. ) eventWeight = 1.;
if( NOEVENTWEIGHTS_ ) eventWeight = 1.;
//both photon and jet in barrel (maybe jet requirement could induce bias):
if( fabs(etaPhotReco)>1.3 ) continue;
if( fabs(etaJetReco)>1.4 ) continue;
//leading jet and photon back2back in transverse plane
bool back2back = true;
Float_t deltaPhi_jet = phiPhotReco - phiJetReco;
Float_t pi = 3.14159;
if( fabs(deltaPhi_jet) < (pi - 0.2) ) back2back = false;
//if( !back2back ) continue; //09.11.09 deltaPhi cut is actually useless: proved it.
if( MCASSOC_ )
if( !matchedToMC ) continue;
else
if( !passedPhotonID_medium ) continue;
if( PARTONTYPE=="GLUON" )
if( fabs(pdgIdPart)!=21 ) continue;
if( PARTONTYPE=="QUARK" )
if( fabs(pdgIdPart)>9 ) continue;
Double_t r_RecoPhot = (ptPhotReco!=0.) ? ptJetReco/ptPhotReco : 0.;
Double_t r_RecoGen = (ptJetGen!=0.) ? ptJetReco/ptJetGen : 0.;
Double_t r_GenPart = (ptPart!=0.) ? ptJetGen/ptPart : 0.;
Double_t r_GenPhot = (ptPhotReco!=0.) ? ptJetGen/ptPhotReco : 0.;
Double_t r_PartPhot = (ptPhotReco!=0.) ? ptPart/ptPhotReco : 0.;
Int_t ptBin = -1;
for( int i=0; i<nBins_pt; ++i) {
if( (ptPhotReco<Lower[i+1])&&(ptPhotReco>Lower[i]) )
ptBin = i;
}
if( ptBin<0 ) continue;
//------------ STANDARD CUT ON SECOND JET ------------------------
if( (pt2ndJetReco<0.1*ptPhotReco)||(pt2ndJetReco<10.) ) {
if(r_RecoPhot!=0.) h2_response_vs_ptPhot->Fill(ptPhotReco, r_RecoPhot, eventWeight);
h2_ptPhotMean_vs_pt_cutOn2ndJet->Fill(ptPhotReco, ptPhotReco, eventWeight);
}
// --- REQUIRE THAT 2nd JET IS NOT IN PHOTON HEMISPHERE:
Float_t deltaPhi_phot2nd = phi2ndJetReco - phiPhotReco;
if( deltaPhi_phot2nd >= TMath::Pi() ) deltaPhi_phot2nd -= 2.*TMath::Pi();
if( deltaPhi_phot2nd < -TMath::Pi() ) deltaPhi_phot2nd += 2.*TMath::Pi();
if( !NOHEMISPHERE_ )
if( fabs(deltaPhi_phot2nd) < (TMath::Pi()/2.) ) continue;
h2_ptPhotMean_vs_pt->Fill( ptPhotReco, ptPhotReco, eventWeight );
//------------ ABSOLUTE SECOND JET PT BINNING --------------------
int iGen = (int)floor((pt2ndJetGen-minPt)/ptStep);
if( (iGen>=0)&&(iGen<5) ) {
if(r_RecoPhot!=0.) h1_RecoPhot_vs_gen[ptBin][iGen]->Fill(r_RecoPhot, eventWeight);
if(r_RecoGen!=0.) h1_RecoGen_vs_gen[ptBin][iGen]->Fill(r_RecoGen, eventWeight);
if(r_GenPart!=0.) h1_GenPart_vs_gen[ptBin][iGen]->Fill(r_GenPart, eventWeight);
if(r_PartPhot!=0.) h1_PartPhot_vs_gen[ptBin][iGen]->Fill(r_PartPhot, eventWeight);
if(r_GenPhot!=0.) h1_GenPhot_vs_gen[ptBin][iGen]->Fill(r_GenPhot, eventWeight);
h1_pt2ndJetGenMean[ptBin][iGen]->Fill(pt2ndJetGen, eventWeight);
//h1_pt2ndJetGenMean[ptBin][iGen]->Fill(ptSecondaryJetsGen, eventWeight);
}
int iReco = (int)floor((pt2ndJetReco-minPt)/ptStep);
if( (iReco>=0)&&(iReco<5) ) {
if(r_RecoPhot!=0.) h1_RecoPhot_vs_reco[ptBin][iReco]->Fill(r_RecoPhot, eventWeight);
if(r_RecoGen!=0.) h1_RecoGen_vs_reco[ptBin][iReco]->Fill(r_RecoGen, eventWeight);
if(r_GenPart!=0.) h1_GenPart_vs_reco[ptBin][iReco]->Fill(r_GenPart, eventWeight);
if(r_PartPhot!=0.) h1_PartPhot_vs_reco[ptBin][iReco]->Fill(r_PartPhot, eventWeight);
if(r_GenPhot!=0.) h1_GenPhot_vs_reco[ptBin][iReco]->Fill(r_GenPhot, eventWeight);
h1_pt2ndJetRecoMean[ptBin][iReco]->Fill(pt2ndJetReco, eventWeight);
//h1_pt2ndJetRecoMean[ptBin][iReco]->Fill(ptSecondaryJetsReco, eventWeight);
}
//------------ RELATIVE SECOND JET PT BINNING --------------------
Double_t pt2ndJetGenRel = 100.*pt2ndJetGen/ptPhotReco; //in percentage
Float_t minPerc = h1_pt2ndJetRecoRelMean[ptBin][0]->GetXaxis()->GetXmin();
Float_t percStep = h1_pt2ndJetRecoRelMean[ptBin][0]->GetXaxis()->GetXmax() - minPerc;
int iGenRel = (int)floor((pt2ndJetGenRel-minPerc)/percStep);
if( DEBUG_ ) {
std::cout << std::endl << "---------" << std::endl;
std::cout << "ptSecondJet: " << pt2ndJetGen << "\tptPhot: " << ptPhotReco << "\tpt2ndJetRel: " << pt2ndJetGenRel << std::endl;
std::cout << "pt2ndJetGenRel: " << pt2ndJetGenRel << " minPerc: " << minPerc << " percStep: " << percStep << std::endl;
std::cout << "iGenRel: " << iGenRel << std::endl;
std::cout << std::endl << "---------" << std::endl;
}
if( (iGenRel>=0)&&(iGenRel<5) ) {
if(r_RecoPhot!=0.) h1_RecoPhot_vs_genRel[ptBin][iGenRel]->Fill(r_RecoPhot, eventWeight);
if(r_RecoGen!=0.) h1_RecoGen_vs_genRel[ptBin][iGenRel]->Fill(r_RecoGen, eventWeight);
if(r_GenPart!=0.) h1_GenPart_vs_genRel[ptBin][iGenRel]->Fill(r_GenPart, eventWeight);
if(r_PartPhot!=0.) h1_PartPhot_vs_genRel[ptBin][iGenRel]->Fill(r_PartPhot, eventWeight);
if(r_GenPhot!=0.) h1_GenPhot_vs_genRel[ptBin][iGenRel]->Fill(r_GenPhot, eventWeight);
h1_pt2ndJetGenRelMean[ptBin][iGenRel]->Fill(pt2ndJetGenRel, eventWeight);
//std::cout << "Filling : iGenRel: " << iGenRel << "pt2ndJetGenRel: " << pt2ndJetGenRel << std::endl;
//h1_pt2ndJetGenMean[ptBin][iGenRel]->Fill(ptSecondaryJetsGen, eventWeight);
}
Double_t pt2ndJetRecoRel = 100.*pt2ndJetReco/ptPhotReco; //in percentage
int iRecoRel = (int)floor((pt2ndJetRecoRel-minPerc)/percStep);
if( (iRecoRel>=0)&&(iRecoRel<5) ) {
if(r_RecoPhot!=0.) h1_RecoPhot_vs_recoRel[ptBin][iRecoRel]->Fill(r_RecoPhot, eventWeight);
if(r_RecoGen!=0.) h1_RecoGen_vs_recoRel[ptBin][iRecoRel]->Fill(r_RecoGen, eventWeight);
if(r_GenPart!=0.) h1_GenPart_vs_recoRel[ptBin][iRecoRel]->Fill(r_GenPart, eventWeight);
if(r_PartPhot!=0.) h1_PartPhot_vs_recoRel[ptBin][iRecoRel]->Fill(r_PartPhot, eventWeight);
if(r_GenPhot!=0.) h1_GenPhot_vs_recoRel[ptBin][iRecoRel]->Fill(r_GenPhot, eventWeight);
h1_pt2ndJetRecoRelMean[ptBin][iRecoRel]->Fill(pt2ndJetRecoRel, eventWeight);
//h1_pt2ndJetGenMean[ptBin][iRecoRel]->Fill(ptSecondaryJetsGen, eventWeight);
}
} //for entries
//TFile* outFile = TFile::Open("secondJet_yesPtHat.root", "recreate");
std::string outfileName;
if( DEBUG_ ) outfileName = "provaSecondJet_"+dataset;
else {
if(dataset!="") outfileName = "SecondJet_"+dataset;
else outfileName = "SecondJet";
}
if( PARTONTYPE!="ALL" ) suffix = "_" + PARTONTYPE + suffix;
if( MCASSOC_ ) suffix = "_MCassoc" + suffix;
if( NOHEMISPHERE_ ) suffix = "_NOHEMISPHERE" + suffix;
outfileName = outfileName + suffix;
outfileName += ".root";
TFile* outFile = new TFile(outfileName.c_str(), "RECREATE");
outFile->cd();
h2_ptPhotMean_vs_pt->Write();
for( int i_pt=0; i_pt<(nBins_pt-1); ++i_pt) {
char dirName[40];
sprintf(dirName, "ptBin_%d_%d", (int)Lower[i_pt], (int)Lower[i_pt+1]);
outFile->mkdir(dirName);
outFile->cd(dirName);
for( int i=0; i<nPoints; ++i) {
TF1* gaussian = new TF1("gaussian", "gaus");
Float_t nSigma = 2.5;
fitTools::fitProjection(h1_RecoPhot_vs_gen[i_pt][i], gaussian, nSigma);
h1_RecoPhot_vs_gen[i_pt][i]->Write();
fitTools::fitProjection(h1_RecoGen_vs_gen[i_pt][i], gaussian, nSigma);
h1_RecoGen_vs_gen[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPart_vs_gen[i_pt][i], gaussian, nSigma);
h1_GenPart_vs_gen[i_pt][i]->Write();
fitTools::fitProjection(h1_PartPhot_vs_gen[i_pt][i], gaussian, nSigma);
h1_PartPhot_vs_gen[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPhot_vs_gen[i_pt][i], gaussian, nSigma);
h1_GenPhot_vs_gen[i_pt][i]->Write();
h1_pt2ndJetGenMean[i_pt][i]->Write();
fitTools::fitProjection(h1_RecoPhot_vs_reco[i_pt][i], gaussian, nSigma);
h1_RecoPhot_vs_reco[i_pt][i]->Write();
fitTools::fitProjection(h1_RecoGen_vs_reco[i_pt][i], gaussian, nSigma);
h1_RecoGen_vs_reco[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPart_vs_reco[i_pt][i], gaussian, nSigma);
h1_GenPart_vs_reco[i_pt][i]->Write();
fitTools::fitProjection(h1_PartPhot_vs_reco[i_pt][i], gaussian, nSigma);
h1_PartPhot_vs_reco[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPhot_vs_reco[i_pt][i], gaussian, nSigma);
h1_GenPhot_vs_reco[i_pt][i]->Write();
h1_pt2ndJetRecoMean[i_pt][i]->Write();
fitTools::fitProjection(h1_RecoPhot_vs_genRel[i_pt][i], gaussian, nSigma);
h1_RecoPhot_vs_genRel[i_pt][i]->Write();
fitTools::fitProjection(h1_RecoGen_vs_genRel[i_pt][i], gaussian, nSigma);
h1_RecoGen_vs_genRel[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPart_vs_genRel[i_pt][i], gaussian, nSigma);
h1_GenPart_vs_genRel[i_pt][i]->Write();
fitTools::fitProjection(h1_PartPhot_vs_genRel[i_pt][i], gaussian, nSigma);
h1_PartPhot_vs_genRel[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPhot_vs_genRel[i_pt][i], gaussian, nSigma);
h1_GenPhot_vs_genRel[i_pt][i]->Write();
h1_pt2ndJetGenRelMean[i_pt][i]->Write();
fitTools::fitProjection(h1_RecoPhot_vs_recoRel[i_pt][i], gaussian, nSigma);
h1_RecoPhot_vs_recoRel[i_pt][i]->Write();
fitTools::fitProjection(h1_RecoGen_vs_recoRel[i_pt][i], gaussian, nSigma);
h1_RecoGen_vs_recoRel[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPart_vs_recoRel[i_pt][i], gaussian, nSigma);
h1_GenPart_vs_recoRel[i_pt][i]->Write();
fitTools::fitProjection(h1_PartPhot_vs_recoRel[i_pt][i], gaussian, nSigma);
h1_PartPhot_vs_recoRel[i_pt][i]->Write();
fitTools::fitProjection(h1_GenPhot_vs_recoRel[i_pt][i], gaussian, nSigma);
h1_GenPhot_vs_recoRel[i_pt][i]->Write();
h1_pt2ndJetRecoRelMean[i_pt][i]->Write();
} //for n points
} //for pt bins
outFile->Close();
std::string distribFileName = "SecondJet_barrel"+suffix+"_RECO";
fitTools::fitDistribution_TGraph(h2_response_vs_ptPhot, h2_ptPhotMean_vs_pt_cutOn2ndJet, "response", "pt", "barrel", "", algoType, outfileName, distribFileName, 0.95);
}
void
makeUnfoldingSystematicsComparisonPlots (int whichobservable, int whichjet, int whichlepton, int inclusive)
{
//Open the file and form the name
string fileSystematics;
string suffix="/gpfs/cms/data/2011/Systematics/postApproval_v58_Journal/";
//string suffix="/tmp/";
if (whichlepton==1) suffix=suffix+"ele/";
if (whichlepton==2) suffix=suffix+"muo/";
// setTDRStyle ();
gStyle->SetErrorX(0);
gStyle->SetPadGridX(0);
gStyle->SetPadGridY(0);
bool absoluteNormalization = true;
int lepton = 3; //1 -> electron, 2-> muon , 3 -> combined reults!
bool addLumiUncertainties = true;
double lumiError = 0.025;
int use_case = whichobservable;
int whichjet = whichjet;
string version = "_v2_32";
//string s = "/afs/infn.it/ts/user/marone/html/ZJets/FinalPlotsForAN/v41/SVDBayes/";
string s="/afs/infn.it/ts/user/marone/html/ZJets/FinalPlotsForAN/v58_Journal/UnfoldingSyst/ele/";
// string s = "/gpfs/cms/users/schizzi/EleMuComparisonPlots/PostUnfolding/";
string eleplotpath = "/gpfs/cms/users/schizzi/Systematics/ele/";
string muoplotpath = "/gpfs/cms/users/schizzi/Systematics/muo/";
gStyle->SetOptStat (0);
TCanvas *plots = new TCanvas ("plots", "EB", 200, 100, 600, 800);
//DATA:
//string elepathFile ="/gpfs/cms/data/2011/Unfolding/testReferenceMu.root";
//string muopathFile ="/gpfs/cms/data/2011/Unfolding/testMu.root";
string elepathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV58_afterCWR.root";
string muopathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV58_BinWidth.root";
string thirdpathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV58_SherpaV2.root";
if (whichlepton==2){
elepathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV58_afterCWRMu.root";
muopathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV58_BinWidthMu.root";
thirdpathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV58_SherpaV2Mu.root";
s="/afs/infn.it/ts/user/marone/html/ZJets/FinalPlotsForAN/v58_Journal/UnfoldingSyst/muo/";
}
//string elepathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV57_3NoSQRT.root";
//string muopathFile ="/gpfs/cms/data/2011/Unfolding/UnfoldingOfficialV57_3NoMCToy.root";
TFile *histof = TFile::Open (elepathFile.c_str ());
histof->cd ("");
TDirectory *dir = gDirectory;
TList *mylist = (TList *) dir->GetListOfKeys ();
TIter iter (mylist);
TObject *tobj = 0;
TFile *histof2 = TFile::Open (thirdpathFile.c_str ());
histof2->cd ("");
TDirectory *dir2 = gDirectory;
TList *mylist2 = (TList *) dir2->GetListOfKeys ();
TIter iter2 (mylist);
TObject *tobj2 = 0;
TFile *histofmuo = TFile::Open (muopathFile.c_str ());
string stringmatch;
string systPathFile;
string systPathFileMuo;
histof->cd ("");
int i = 0; // solo di servizio quando debuggo...
while ((tobj = iter.Next ()))
{
string name = tobj->GetName ();
if (use_case == 1)
{ // Jet Multiplicity
stringmatch = "JetMultiplicityUnfolded";
systPathFile = eleplotpath + "systematicsEff_jetMult" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jetMult" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jetMult" + version + ".txt";
}
if (use_case == 2)
{ // Jet Pt
if (whichjet == 1)
{
stringmatch = "jReco_leading";
systPathFile = eleplotpath + "systematicsEff_jet1Pt" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet1Pt" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet1Pt" + version + ".txt";
}
if (whichjet == 2)
{
stringmatch = "jReco_subleading";
systPathFile = eleplotpath + "systematicsEff_jet2Pt" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet2Pt" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet2Pt" + version + ".txt";
}
if (whichjet == 3)
{
stringmatch = "jReco_subsubleading";
systPathFile = eleplotpath + "systematicsEff_jet3Pt" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet3Pt" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet3Pt" + version + ".txt";
}
if (whichjet == 4)
{
stringmatch = "jReco_subsubsubleading";
systPathFile = eleplotpath + "systematicsEff_jet4Pt" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet4Pt" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet4Pt" + version + ".txt";
}
}
if (use_case == 3) { // Jet Eta
if (whichjet == 1)
{
stringmatch = "jReco_leadingeta";
systPathFile = eleplotpath + "systematicsEff_jet1Eta" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet1Eta" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet1Eta" + version + ".txt";
}
if (whichjet == 2)
{
stringmatch = "jReco_subleadingeta";
systPathFile = eleplotpath + "systematicsEff_jet2Eta" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet2Eta" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet2Eta" + version + ".txt";
}
if (whichjet == 3)
{
stringmatch = "jReco_subsubleadingeta";
systPathFile = eleplotpath + "systematicsEff_jet3Eta" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet3Eta" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet3Eta" + version + ".txt";
}
if (whichjet == 4)
{
stringmatch = "jReco_subsubsubleadingeta";
systPathFile = eleplotpath + "systematicsEff_jet4Eta" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet4Eta" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet4Eta" + version + ".txt";
}
}
if (use_case == 4) { // Ht
if (whichjet == 1)
{
stringmatch = "HReco_leading";
systPathFile = eleplotpath + "systematicsEff_jet1Ht" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet1Ht" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet1Ht" + version + ".txt";
}
if (whichjet == 2)
{
stringmatch = "HReco_subleading";
systPathFile = eleplotpath + "systematicsEff_jet2Ht" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet2Ht" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet2Ht" + version + ".txt";
}
if (whichjet == 3)
{
stringmatch = "HReco_subsubleading";
systPathFile = eleplotpath + "systematicsEff_jet3Ht" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet3Ht" + version + ".txt";
fileSystematics = suffix+"systematicsUnfReweight_jet3Ht" + version + ".txt";
}
if (whichjet == 4)
{
stringmatch = "HReco_subsubsubleading";
fileSystematics = suffix+"systematicsUnfReweight_jet4Ht" + version + ".txt";
systPathFile = eleplotpath + "systematicsEff_jet4Ht" + version + ".txt";
systPathFileMuo = muoplotpath + "systematicsEff_jet4Ht" + version + ".txt";
}
}
if (name == stringmatch) {
cout << "CONFIGURATION:" << endl;
cout << "stringmatch: " <<stringmatch<< endl;
cout << "systPathFile: " <<systPathFile<< endl;
TH1D *leading;
gDirectory->GetObject (name.c_str (), leading);
leading->SetMarkerSize(0.9);
leading->Sumw2();
histofmuo->cd ("");
TH1D *leadingmuo;
gDirectory->GetObject (name.c_str (), leadingmuo);
leadingmuo->SetMarkerSize(0.9);
leadingmuo->Sumw2();
histof2->cd ("");
TH1D *leadingthird;
gDirectory->GetObject (name.c_str (), leadingthird);
leadingmuo->SetMarkerSize(0.9);
leadingmuo->Sumw2();
if (inclusive==1){
TH1D* leadingIncl=turnExclusiveHistoInInclusive(leading);
TH1D* leadingmuoIncl=turnExclusiveHistoInInclusive(leadingmuo);
TH1D* leadingthirdIncl=turnExclusiveHistoInInclusive(leadingthird);
leading=leadingIncl;
leadingmuo=leadingmuoIncl;
leadingthird=leadingthirdIncl;
}
// /// EFFICIENCY Systematics:
// for (int nnbins=1;nnbins<=leading->GetNbinsX ();nnbins++) {
// cout << fabs(leading->GetBinContent(nnbins)-leadingmuo->GetBinContent(nnbins))/(2*leading->GetBinContent(nnbins)) << endl;
// cout << leading->GetBinContent(nnbins)-leadingmuo->GetBinContent(nnbins) << endl;
// }
// read from file ---------------------------------------------
double dat;
ifstream inM;
cout << "reading ... " << systPathFile << endl;
inM.open (systPathFile.c_str ());
std::vector < double >systTmpM;
while (1)
{
inM >> dat;
if (!inM.good ())
break;
systTmpM.push_back (dat);
}
inM.close ();
// ------------------------------------------------------------
// read from file ---------------------------------------------
ifstream inM2;
cout << "reading ... " << systPathFileMuo << endl;
inM2.open (systPathFileMuo.c_str ());
std::vector < double >systTmpMmuo;
while (1)
{
inM2 >> dat;
if (!inM2.good ())
break;
systTmpMmuo.push_back (dat);
}
inM2.close ();
// ------------------------------------------------------------
TH1D *leadingRatioSystematics;
leadingRatioSystematics = (TH1D *) leading->Clone ("leading");
if (systTmpM.size () != leadingRatioSystematics->GetNbinsX ())
cout << "TE SON MONA! WRONG NUMBER OF BINS (# syst from file->" <<systTmpM.size()<<" - # bins->"<<leadingRatioSystematics->GetNbinsX()<<")"<<endl;
for (int i = 0; i < leadingRatioSystematics->GetNbinsX (); i++)
{
//leadingRatioSystematics->SetBinContent(i + 1, 1.0);
//leadingRatioSystematics->SetBinError (i + 1,sqrt(systTmpM[i]*systTmpM[i] + systTmpMmuo[i]*systTmpMmuo[i]));
// leadingRatioSystematics->SetBinContent(i + 1, 1.0);
// leadingRatioSystematics->SetBinError (i + 1,max(systTmpM[i]/100.0,systTmpMmuo[i]/100.0));
}
plots->cd ();
TPad *pad1 = new TPad("pad1","pad1",0.01,0.3,0.99,0.99);
pad1->Draw();
pad1->cd();
pad1->SetTopMargin(0.1);
pad1->SetBottomMargin(0.0);
pad1->SetLeftMargin(0.2);
pad1->SetRightMargin(0.0);
pad1->SetFillStyle(0);
if (use_case !=3) pad1->SetLogy(1);
else pad1->SetLogy(0);
if (use_case ==3){
leading->SetMinimum((0.5-0.05*(whichjet-1))*leading->GetMinimum());
leading->SetMaximum((1.25+0.35*(whichjet-1))*leading->GetMaximum());
}
leading->SetLineColor (kRed+1);
leading->SetMarkerStyle (20);
leading->SetFillColor (kRed+1);
leading->SetMarkerColor (kRed+1);
leading->GetXaxis ()->SetTitleOffset (1.1);
leading->GetXaxis ()->SetTitleSize (0.05);
leading->GetXaxis ()->SetLabelSize (0.0);
leading->GetXaxis ()->SetLabelFont (42);
leading->GetXaxis ()->SetTitleFont (42);
leading->GetYaxis ()->SetTitleOffset (1.);
leading->GetYaxis ()->SetTitleSize (0.07);
leading->GetYaxis ()->SetLabelSize (0.06);
leading->GetYaxis ()->SetLabelFont (42);
leading->GetYaxis ()->SetTitleFont (42);
leading->SetTitle ();
leading->GetXaxis ()->SetTitle ();
if (use_case ==1) {
if (absoluteNormalization) leading->GetYaxis ()->SetTitle ("d#sigma/dN [pb]");
else {
if (lepton == 1) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow e^{+}e^{-}}) d#sigma/dN");
if (lepton == 2) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow #mu^{+}#mu^{-}}) d#sigma/dN");
if (lepton == 3) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow l^{+}l^{-}}) d#sigma/dN");
}
}
if (use_case ==2) {
if (absoluteNormalization) leading->GetYaxis ()->SetTitle ("d#sigma/dp_{T} [pb/GeV]");
else {
if (lepton == 1) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow e^{+}e^{-}}) d#sigma/dp_{T}");
if (lepton == 2) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow #mu^{+}#mu^{-}}) d#sigma/dp_{T}");
if (lepton == 3) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow l^{+}l^{-}}) d#sigma/dp_{T}");
}
}
if (use_case ==3) {
if (absoluteNormalization) leading->GetYaxis ()->SetTitle ("d#sigma/d#eta [pb]");
else {
if (lepton == 1) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow e^{+}e^{-}}) d#sigma/d#eta");
if (lepton == 2) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow #mu^{+}#mu^{-}}) d#sigma/d#eta");
if (lepton == 3) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow l^{+}l^{-}}) d#sigma/d#eta");
}
}
if (use_case ==4) {
if (absoluteNormalization) leading->GetYaxis ()->SetTitle ("d#sigma/dH_{T} [pb/GeV]");
else {
if (lepton == 1) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow e^{+}e^{-}}) d#sigma/dH_{T}");
if (lepton == 2) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow #mu^{+}#mu^{-}}) d#sigma/dH_{T}");
if (lepton == 3) leading->GetYaxis ()->SetTitle ("(1/#sigma_{Z #rightarrow l^{+}l^{-}}) d#sigma/dH_{T}");
}
}
leading->SetFillColor (kBlack);
leading->SetFillStyle (3001);
leading->SetMarkerColor (kBlack);
leading->SetLineColor (kBlack);
leading->SetMarkerStyle (20);
leading->Draw ("E1");
leadingmuo->SetFillColor (kBlue);
leadingmuo->SetFillStyle (3001);
leadingmuo->SetMarkerColor (kBlue);
leadingmuo->SetLineColor (kBlue);
leadingmuo->SetMarkerStyle (21);
leadingmuo->Draw ("E1SAME");
leadingthird->SetFillColor (kRed);
leadingthird->SetFillStyle (3001);
leadingthird->SetMarkerColor (kRed);
leadingthird->SetLineColor (kRed);
leadingthird->SetMarkerStyle (21);
leadingthird->Sumw2();
//for (int j=1; j<=leadingthird->GetNbinsX();j++){
//leadingmuo->SetBinError(j,leadingmuo->GetBinError(j)/4980.0);
//leadingthird->SetBinError(j,sqrt(leadingthird->GetBinContent(j))/(4980.0*100));
//}
leadingthird->Draw ("E1SAME");
//-------------------------------------------
TLegend *legendsx_d;
legendsx_d = new TLegend (0.74, 0.6, 0.98, 0.88);
legendsx_d->SetFillColor (kWhite);
legendsx_d->SetBorderSize (1);
legendsx_d->SetNColumns(1);
legendsx_d->SetTextSize(.040);
legendsx_d->AddEntry (leading, "Central", "PEL");
legendsx_d->AddEntry (leadingmuo, "Sherpa", "PEL");
legendsx_d->AddEntry (leadingthird, "Reweighting", "PEL");
legendsx_d->Draw ("same");
// Draw the ratio plot: ----------------------
leadingRatio = (TH1D *) leading->Clone ("leading");
leadingRatio->Divide(leadingmuo);
leadingRatio2 = (TH1D *) leading->Clone ("leading");
leadingRatio2->Divide(leadingthird);
for (int mem=1; mem<=leadingRatio->GetNbinsX(); mem++) {
cout << "Syst for bin nr." << mem << ":\t" << fabs(leadingRatio->GetBinContent(mem)-1.0)/2 << endl;
}
plots->cd();
TPad *pad3 = new TPad("pad3","pad3",0.01,0.01,0.99,0.30);
pad3->Draw();
pad3->cd();
pad3->SetTopMargin(0.0);
pad3->SetBottomMargin(0.3);
pad3->SetLeftMargin(0.2);
pad3->SetRightMargin(0);
pad3->SetFillStyle(0);
leadingRatio->GetXaxis()->SetLabelFont (42);
leadingRatio->GetXaxis()->SetTitleFont (42);
leadingRatio->GetXaxis()->SetTitleSize(0.11);
leadingRatio->GetXaxis()->SetLabelSize(0.11);
leadingRatio->GetXaxis()->SetTitleOffset (1.1);
leadingRatio->GetYaxis()->SetTitleSize(0.11);
leadingRatio->GetYaxis()->SetLabelSize(0.10);
leadingRatio->GetYaxis()->SetTitleOffset(0.65);
leadingRatio->GetYaxis()->SetTitle("Ratio");
leadingRatio->GetYaxis()->SetNdivisions(5);
leadingRatio->GetYaxis()->SetRangeUser(0.4,1.6);
if (use_case ==1) {
leadingRatio->GetXaxis ()->SetTitle ("Exclusive jet multiplicity");
}
if (use_case ==2) {
if (whichjet == 1) leadingRatio->GetXaxis ()->SetTitle ("Leading jet p_{T} [GeV]");
if (whichjet == 2) leadingRatio->GetXaxis ()->SetTitle ("Second jet p_{T} [GeV]");
if (whichjet == 3) leadingRatio->GetXaxis ()->SetTitle ("Third jet p_{T} [GeV]");
if (whichjet == 4) leadingRatio->GetXaxis ()->SetTitle ("Fourth jet p_{T} [GeV]");
}
if (use_case ==3) {
if (whichjet == 1) leadingRatio->GetXaxis ()->SetTitle ("Leading jet #eta");
if (whichjet == 2) leadingRatio->GetXaxis ()->SetTitle ("Second jet #eta");
if (whichjet == 3) leadingRatio->GetXaxis ()->SetTitle ("Third jet #eta");
if (whichjet == 4) leadingRatio->GetXaxis ()->SetTitle ("Fourth jet #eta");
}
if (use_case ==4) {
if (whichjet == 1) leadingRatio->GetXaxis ()->SetTitle ("H_{T}, N_{jet} >= 1 [GeV]");
if (whichjet == 2) leadingRatio->GetXaxis ()->SetTitle ("H_{T}, N_{jet} >= 2 [GeV]");
if (whichjet == 3) leadingRatio->GetXaxis ()->SetTitle ("H_{T}, N_{jet} >= 3 [GeV]");
if (whichjet == 4) leadingRatio->GetXaxis ()->SetTitle ("H_{T}, N_{jet} >= 4 [GeV]");
}
leadingRatio->SetFillColor (kRed+2);
leadingRatio->SetMarkerColor (kRed+2);
leadingRatio->SetLineColor (kRed+2);
leadingRatio->Draw ("E0");
leadingRatioSystematics->SetFillColor (kGreen+3);
leadingRatioSystematics->SetFillStyle (3004);
leadingRatioSystematics->SetMarkerColor (kGreen+3);
leadingRatioSystematics->SetLineColor (kGreen+3);
leadingRatioSystematics->SetMarkerStyle (1);
//leadingRatioSystematics->Draw ("E3SAME");
leadingRatio->Draw ("E1SAME");
leadingRatio2->SetMarkerColor(kBlue);
leadingRatio2->SetLineColor(kBlue);
leadingRatio2->Draw ("E1SAME");
myfile.open (fileSystematics.c_str());
cout<<"TXT file saved in "<<fileSystematics<<endl;
loopAndDumpEntries(leadingRatio,leadingmuo);
TLine *OLine2 = new TLine(leading->GetXaxis()->GetXmin(),1.,leading->GetXaxis()->GetXmax(),1.);
OLine2->SetLineColor(kBlack);
OLine2->SetLineStyle(2);
OLine2->Draw();
//latexLabel->SetTextSize(0.09);
// latexLabel->DrawLatex(0.2,0.35,"Ratio");
/////////////////////////////////////////////////////
string title1;
title1 = s + "DifferentialX" + stringmatch + ".pdf";
cout << title1 << endl;
plots->Print (title1.c_str ());
plots->Draw();
return;
}
}
void ncDmBsFit(TString infname="",bool doweight = 1)
{
if (doweight==0) weight="1";
if (infname=="") infname=inputdata.Data();
TFile *inf = new TFile(infname.Data());
TTree *nt = (TTree*) inf->Get("ntphi");
TFile *infMC = new TFile(inputmc.Data());
TTree *ntGen = (TTree*)infMC->Get("ntGen");
TTree *ntMC = (TTree*)infMC->Get("ntphi");
ntGen->AddFriend(ntMC);
const int nBins = 6;
double ptBins[nBins+1] = {0.5,1.0,1.5,2.0,2.5,3.0,3.5};
TH1D *hPt = new TH1D("hPt","",nBins,ptBins);
TH1D *hPtBase = new TH1D("hPtBase","",nBins,ptBins);
TH1D *hPtMC = new TH1D("hPtMC","",nBins,ptBins);
TH1D *hPtMCBase = new TH1D("hPtMCBase","",nBins,ptBins);
TF1 *fbase = fit(nt,ntMC,10,60,0,false);
double yieldBase = fbase->Integral(5,6)/0.02;
double yieldErrBase = fbase->Integral(5,6)/0.02*fbase->GetParError(0)/fbase->GetParameter(0);
TF1 *fmcbase = fit(ntMC,ntMC,10,60,0,true);
double yieldMCBase = fmcbase->Integral(5,6)/0.02;
for (int i=0;i<nBins;i++)
{
TF1 *f = fit(nt,ntMC,10,60,ptBins[i],false);
double yield = f->Integral(5,6)/0.02;
double yieldErr = f->Integral(5,6)/0.02*f->GetParError(0)/f->GetParameter(0);
hPt->SetBinContent(i+1,yield);
hPt->SetBinError(i+1,yieldErr);
hPtBase->SetBinContent(i+1,yieldBase);
hPtBase->SetBinError(i+1,yieldErrBase);
TF1 *fMC = fit(ntMC,ntMC,10,60,ptBins[i],true);
double yieldMC = fMC->Integral(5,6)/0.02;
hPtMC->SetBinContent(i+1,yieldMC);
hPtMCBase->SetBinContent(i+1,yieldMCBase);
}
hPt->Sumw2();
hPtBase->Sumw2();
hPt->Divide(hPt,hPtBase,1,1,"B");
hPtMC->Divide(hPtMCBase);
for(int i=0;i<nBins;i++)
{
double tem=0;
tem = hPt->GetBinContent(i+1);
hPt->SetBinContent(i+1,1-tem);
tem = hPtMC->GetBinContent(i+1);
hPtMC->SetBinContent(i+1,1-tem);
}
hPtMC->SetXTitle("#mu p_{T} larger than (GeV)");
hPtMC->SetYTitle("Candidate losing fraction");
hPtMC->SetTitleOffset(1.5,"Y");
hPtMC->SetMaximum(0.5);
// if(hPt->GetMaximum()>hPtMC->GetMaximum()) hPtMC->SetMaximum(hPt->GetMaximum()*1.03);
// else hPtMC->SetMaximum(hPtMC->GetMaximum()*1.03);
hPt->SetMarkerStyle(8);
hPt->SetStats(0);
hPtMC->SetLineColor(kRed);
hPtMC->SetFillStyle(3004);
hPtMC->SetFillColor(kRed);
hPtMC->SetLineWidth(3);
hPtMC->SetStats(0);
TCanvas *cfinal = new TCanvas("cfinal","",600,600);
hPtMC->Draw();
hPt->Draw("same lep");
TLegend *legi = new TLegend(0.13,0.72,0.33,0.84);
legi->AddEntry(hPt,"data","pl");
legi->AddEntry(hPtMC,"MC","f");
legi->SetBorderSize(0);
legi->SetFillStyle(0);
legi->Draw("same");
TLegend *leg1i = new TLegend(0.20,0.7,0.50,0.9);
leg1i->AddEntry((TObject*)0,Form("%s",particle.Data()),"");
leg1i->AddEntry((TObject*)0,Form("%.0f<p_{T}<%.0f GeV",10.0,60.0),"");
leg1i->AddEntry((TObject*)0,Form("%.1f<y_{CM}<%.1f",-2.4,2.4),"");
leg1i->SetBorderSize(0);
leg1i->SetFillStyle(0);
leg1i->Draw("same");
cfinal->SaveAs("MuonPt/Bs/muonpt.pdf");
/*
divideBinWidth(hPtMC);
divideBinWidth(hPtGen);
TCanvas *c= new TCanvas("cResult","",600,600);
hPt->SetXTitle("B_{s} p_{T} (GeV/c)");
hPt->SetYTitle("Uncorrected B_{s} dN/dp_{T}");
hPt->Draw();
hRecoTruth->Draw("same hist");
hPtMC->Sumw2();
TH1D *hEff = (TH1D*)hPtMC->Clone("hEff");
hPtMC->Sumw2();
hEff->Divide(hPtGen);
TH1D *hPtCor = (TH1D*)hPt->Clone("hPtCor");
hPtCor->Divide(hEff);
TCanvas *cCor= new TCanvas("cCorResult","",600,600);
hPtCor->SetYTitle("Correctd B_{s} dN/dp_{T}");
hPtCor->Draw();
hPtGen->Draw("same");
TH1D *hPtSigma= (TH1D*)hPtCor->Clone("hPtSigma");
double BRchain=2.89977e-5;
hPtSigma->Scale(1./(2*luminosity*BRchain));
hPtSigma->SetYTitle("d#sigma/dp_{T} (B_{s})");
TCanvas *cSigma= new TCanvas("cSigma","",600,600);
hPtSigma->Draw();
TFile *outf = new TFile("../ResultsBs/SigmaBs.root","recreate");
outf->cd();
hPt->Write();
hEff->Write();
hPtCor->Write();
hPtSigma->Write();
outf->Close();
delete outf;
*/
}
void fitD(TString inputdata="/data/dmeson2015/DataDntuple/nt_20160112_DfinderData_pp_20160111_dPt0tkPt1_D0Dstar3p5p_DCSJSON_v2.root", TString inputmc="/afs/cern.ch/work/w/wangj/public/Dmeson/ntD_20151110_DfinderMC_20151110_EvtMatching_Pythia_D0pt15p0_Pthat15_TuneZ2_5020GeV_GENSIM_75x_1015_20151110_ppGlobaTrackingPPmenuHFlowpuv11_MBseed_twang-Pythia_1107.root", TString trgselection="((HLT_DmesonPPTrackingGlobal_Dpt15_v1&&Dpt>25&&Dpt<40)||(HLT_DmesonPPTrackingGlobal_Dpt30_v1&&Dpt>40&&Dpt<60)||(HLT_DmesonPPTrackingGlobal_Dpt50_v1&&Dpt>60))", TString cut="Dy>-1.&&Dy<1.&&(Dtrk1highPurity&&Dtrk2highPurity)&&(DsvpvDistance/DsvpvDisErr)>3.5&&Dchi2cl>0.05&&Dalpha<0.12&&Dtrk1Pt>1.5&&Dtrk2Pt>1.5", TString selmcgen="((GisSignal==1||GisSignal==2)&&(Gy>-1&&Gy<1))", int isMC=0, Double_t luminosity=26., int doweight=0, TString collsyst="PbPb", TString outputfile="mytest.root")
{
collisionsystem=collsyst;
seldata = Form("%s&&%s",trgselection.Data(),cut.Data());
selmc = Form("%s",cut.Data());
gStyle->SetTextSize(0.05);
gStyle->SetTextFont(42);
gStyle->SetPadRightMargin(0.043);
gStyle->SetPadLeftMargin(0.18);
gStyle->SetPadTopMargin(0.1);
gStyle->SetPadBottomMargin(0.145);
gStyle->SetTitleX(.0f);
void clean0 (TH1D* h);
TF1* fit (TTree* nt, TTree* ntMC, double ptmin, double ptmax, int isMC);
if(!doweight) weight="1";
TFile* inf = new TFile(inputdata.Data());
TFile* infMC = new TFile(inputmc.Data());
TTree* nt = (TTree*) inf->Get("ntDkpi");
TTree* HltTree= (TTree*) inf->Get("ntHlt");
HltTree->AddFriend(nt);
nt->AddFriend(HltTree);
TTree* ntHid = (TTree*) inf->Get("ntHi");
nt->AddFriend(ntHid);
TTree* ntMC = (TTree*)infMC->Get("ntDkpi");
TTree* ntGen = (TTree*)infMC->Get("ntGen");
TTree* ntHi = (TTree*)infMC->Get("ntHi");
ntGen->AddFriend(ntMC);
ntGen->AddFriend(ntHi);
ntMC->AddFriend(ntGen);
ntMC->AddFriend(ntHi);
ntHi->AddFriend(ntMC);
TH1D* hPt = new TH1D("hPt","",nBins,ptBins);
TH1D* hPtRecoTruth = new TH1D("hPtRecoTruth","",nBins,ptBins);
TH1D* hPtMC = new TH1D("hPtMC","",nBins,ptBins);
TH1D* hPtGen = new TH1D("hPtGen","",nBins,ptBins);
TH1D* hMean = new TH1D("hMean","",nBins,ptBins);
TH1D* hSigmaGaus1 = new TH1D("hSigmaGaus1","",nBins,ptBins);
TH1D* hSigmaGaus2 = new TH1D("hSigmaGaus2","",nBins,ptBins);
TH1D* hRelMagnGaus1Gaus2 = new TH1D("hRelMagnGaus1Gaus2","",nBins,ptBins);
for(int i=0;i<nBins;i++)
{
TF1* f = fit(nt,ntMC,ptBins[i],ptBins[i+1],isMC);
double yield = f->Integral(minhisto,maxhisto)/binwidthmass;
double yieldErr = f->Integral(minhisto,maxhisto)/binwidthmass*f->GetParError(0)/f->GetParameter(0);
hPt->SetBinContent(i+1,yield/(ptBins[i+1]-ptBins[i]));
hPt->SetBinError(i+1,yieldErr/(ptBins[i+1]-ptBins[i]));
hMean->SetBinContent(i+1,f->GetParameter(1));
hMean->SetBinError(i+1,f->GetParError(1));
hSigmaGaus1->SetBinContent(i+1,f->GetParameter(2));
hSigmaGaus1->SetBinError(i+1,f->GetParError(2));
hSigmaGaus2->SetBinContent(i+1,f->GetParameter(5));
hSigmaGaus2->SetBinError(i+1,f->GetParError(5));
hRelMagnGaus1Gaus2->SetBinContent(i+1,f->GetParameter(4));
hRelMagnGaus1Gaus2->SetBinError(i+1,f->GetParError(4));
}
ntMC->Project("hPtMC","Dpt",TCut(weight)*(TCut(selmc.Data())&&"(Dgen==23333)"));
divideBinWidth(hPtMC);
ntMC->Project("hPtRecoTruth","Dpt",TCut(selmc.Data())&&"(Dgen==23333)");
divideBinWidth(hPtRecoTruth);
ntGen->Project("hPtGen","Gpt",TCut(weight)*(TCut(selmcgen.Data())));
divideBinWidth(hPtGen);
TCanvas* cPt = new TCanvas("cPt","",600,600);
cPt->SetLogy();
hPt->SetXTitle("D^{0} p_{T} (GeV/c)");
hPt->SetYTitle("Uncorrected dN(D^{0})/dp_{T}");
hPt->Sumw2();
hPt->Draw();
if(isMC)
{
hPtMC->Draw("same hist");
TLegend* legPt = myLegend(0.55,0.80,0.90,0.94);
legPt->AddEntry(hPt,"Signal extraction","pl");
legPt->AddEntry(hPtMC,"Matched reco","lf");
legPt->Draw("same");
}
hPtMC->Sumw2();
TH1D* hEff = (TH1D*)hPtMC->Clone("hEff");
hEff->SetTitle(";D^{0} p_{T} (GeV/c);Efficiency");
hEff->Sumw2();
hEff->Divide(hPtGen);
TCanvas* cEff = new TCanvas("cEff","",600,600);
hEff->Draw();
TH1D* hPtCor = (TH1D*)hPt->Clone("hPtCor");
hPtCor->SetTitle(";D^{0} p_{T} (GeV/c);Corrected dN(D^{0})/dp_{T}");
hPtCor->Divide(hEff);
TCanvas* cPtCor= new TCanvas("cCorResult","",600,600);
cPtCor->SetLogy();
hPtCor->Draw();
if(isMC)
{
hPtGen->Draw("same hist");
TLegend* legPtCor = myLegend(0.55,0.80,0.90,0.94);
legPtCor->AddEntry(hPtCor,"Corrected signal","pl");
legPtCor->AddEntry(hPtGen,"Generated D^{0}","lf");
legPtCor->Draw("same");
}
TH1D* hPtSigma= (TH1D*)hPtCor->Clone("hPtSigma");
hPtSigma->SetTitle(";D^{0} p_{T} (GeV/c);d#sigma(D^{0})/dp_{T} (pb/GeV)");
hPtSigma->Scale(1./(2*luminosity*BRchain));
TCanvas* cPtSigma= new TCanvas("cPtSigma","",600,600);
cPtSigma->SetLogy();
hPtSigma->Draw();
TFile* outf = new TFile(outputfile.Data(),"recreate");
outf->cd();
hPt->Write();
hEff->Write();
hPtGen->Write();
hPtMC->Write();
hPtCor->Write();
hPtSigma->Write();
hMean->Write();
hSigmaGaus1->Write();
hSigmaGaus2->Write();
hRelMagnGaus1Gaus2->Write();
outf->Close();
}
int plotMass(const char* cut, char *filename) {
// ------ root settings ---------
gROOT->Reset();
gROOT->SetStyle("Plain");
gStyle->SetPadGridX(kTRUE);
gStyle->SetPadGridY(kTRUE);
//gStyle->SetOptStat("kKsSiourRmMen");
//gStyle->SetOptStat("iourme");
gStyle->SetOptStat("rme");
gStyle->SetOptStat(0);
gStyle->SetOptFit(1111);
gStyle->SetPadLeftMargin(0.14);
gStyle->SetPadRightMargin(0.06);
// ------------------------------
float min=75;
float max=105;
int nbins=70;
float step=(max-min)/float(nbins);
char stepstr[20];
sprintf(stepstr,"Events/%4.2f GeV",step);
TFile *fileData = TFile::Open("results/hzzTree.root");
TFile *fileDY = TFile::Open("results/hzzTree_id111.root");
TTree *treeData = (TTree*)fileData->Get("zeetree/probe_tree");
TTree *treeDY = (TTree*)fileDY->Get("zeetree/probe_tree");
treeDY->AddFriend( "zeetree/pu_probe_tree = zeetree/probe_tree", "results/hzzTree_id111_puw.root" );
TH1D *massDYsmear = new TH1D("massDYsmear","",nbins,min,max);
TH1D *massData = new TH1D("massData","",nbins,min,max);
// cosmetics
massDYsmear->Sumw2();
massDYsmear->SetFillColor(kCyan-9);
massDYsmear->SetFillStyle(3003);
massDYsmear->SetLineColor(kAzure+3);
massDYsmear->GetXaxis()->SetTitle("M_{ee} (GeV/c^{2})");
massDYsmear->GetYaxis()->SetTitle(stepstr);
massData->SetMarkerSize(0.8);
massData->SetMarkerStyle(21);
massData->SetMaximum(massData->GetMaximum()+0.1*massData->GetMaximum());
TString finalcutData = TString("(")+TString(cut)+TString(")*1");
TString finalcutMC = TString("(")+TString(cut)+TString(")*puW");
treeData->Project("massData","zmll",finalcutData);
treeDY->Project("massDYsmear","zmll",finalcutMC);
massDYsmear->Scale(massData->Integral()/massDYsmear->Integral());
TLegend* leg = new TLegend(0.2,0.7,0.4,0.89);
leg->SetBorderSize( 0);
leg->SetFillColor ( 0);
leg->SetTextAlign ( 12);
leg->SetTextFont ( 42);
leg->SetTextSize (0.05);
leg->SetFillColor(0);
leg->AddEntry(massDYsmear,"MC smeared","F");
leg->AddEntry(massData,"Data","pe");
TCanvas *c1 = new TCanvas("c1","c1");
massDYsmear->Draw("hist");
massData->Draw("same pe1");
leg->Draw();
c1->SaveAs(filename);
fileData->Close();
fileDY->Close();
return 0;
}
void drawRAA(bool doInclusiveJet=0, bool useUnfolded=1, bool drawTheory=1){
bool drawPowheg = 0;
float etalo=-2;
float etahi=2;
TH1D *dEta80To110 = new TH1D("dEta80To110","",4,-2.465,1.535);
TH1D *dEta110To150 = new TH1D("dEta110To150","",4,-2.365,1.635);
TH1D *dEta70To80 = new TH1D("dEta70To80","",4,-2.565,1.435);
TH1D *dEta150To190 = new TH1D("dEta150To190","",4,-2.265,1.735);
int nbins = 3;
double xbins[4] = {0,20,50,100};
double xbins2[4] = {2,22,52,102};
double xbins3[4] = {-2,18,48,98};
double xbins4[4] = {4,24,54,104};
TH1D *dCent70To80 = new TH1D("dCent70To80","",nbins,xbins3);
TH1D *dCent80To110 = new TH1D("dCent80To110","",nbins,xbins);
TH1D *dCent110To150 = new TH1D("dCent110To150","",nbins,xbins2);
TH1D *dCent150To190 = new TH1D("dCent150To190","",nbins,xbins4);
//for(int ieta=-2; ieta<2; ieta++){
// etalo=(float)(ieta+0.5);
// etahi=(float)(ieta+1.5);
int binLo, binHi;
//for(int icent=0; icent<3; icent++){
// if(icent==0){ binLo = 0; binHi=20; }
// if(icent==1){ binLo = 20; binHi=50; }
// if(icent==2){ binLo = 50; binHi=100; }
TH1D *h = new TH1D();
TH1D *h2 = new TH1D();
TH1D *h_den = new TH1D();
h->Sumw2();
h2->Sumw2();
h_den->Sumw2();
TH1D *he1 = new TH1D();
TH1D *he2 = new TH1D();
TH1D *he3 = new TH1D();
TH1D *he4 = new TH1D();
he1->Sumw2(); he2->Sumw2(); he3->Sumw2(); he4->Sumw2();
//grab unfolded histograms from the unfolding output (inclusive)
TFile *f0, *f2, *f5,*f6,*f7,*f8;
TFile *fIncl = new TFile("~/bTagTrees/pPb/raa_pPb_numerator-inc_eta-1.0To1.0.root");
TFile *fInclB = new TFile("~/bTagTrees/pPb/raa_pp_denomForpA-inc_eta-1.0To1.0.root");
TH1D *hinclTop = (TH1D*)fIncl->Get("hReco0")->Clone("hinclTop");
TH1D *hinclBot = (TH1D*)fInclB->Get("hGen_cent1")->Clone("hinclBot");
for(int i=1; i<=hinclTop->GetNbinsX(); i++){
hinclTop->SetBinError(i,hinclTop->GetBinError(i)/hinclTop->GetBinWidth(i));
hinclTop->SetBinContent(i,hinclTop->GetBinContent(i)/hinclTop->GetBinWidth(i));
hinclBot->SetBinError(i,hinclBot->GetBinError(i)/hinclBot->GetBinWidth(i));
hinclBot->SetBinContent(i,hinclBot->GetBinContent(i)/hinclBot->GetBinWidth(i));
}
hinclTop->Scale(1./6.9);
hinclTop->Divide(hinclBot);
hinclTop->SetMarkerColor(4);
//hinclTop->Scale(0.689);
//grab unfolded histograms from the unfolding output (bjet)
if(doInclusiveJet) f0 = new TFile(Form("~/bTagTrees/pPb/raa_pPb_numerator-inc_eta%.1fTo%.1f.root",etalo,etahi));
//else f0 = new TFile(Form("~/bTagTrees/pPb/raa_pPb_numerator-Incljet_FullDataset_ssvhe20_etaCM_v2_bin0_100_eta%.1fTo%.1f.root",etalo,etahi)); //incl jet unfolding
else if(useUnfolded){
f0 = new TFile(Form("~/bTagTrees/pPb/raa_pPb_numerator-Bjet_FullDataset_ssvhe20_etaCM_v2_bin0_100_eta%.1fTo%.1f.root",etalo,etahi)); //bjet unfolding
f5 = new TFile("~/bTagTrees/pPb/raa_pPb_numerator-Bjet_FullDataset_ssvhe20_etaCM_eta-2.0To-1.0.root");
f6 = new TFile("~/bTagTrees/pPb/raa_pPb_numerator-Bjet_FullDataset_ssvhe20_etaCM_eta-1.0To0.0.root");
f7 = new TFile("~/bTagTrees/pPb/raa_pPb_numerator-Bjet_FullDataset_ssvhe20_etaCM_eta0.0To1.0.root");
f8 = new TFile("~/bTagTrees/pPb/raa_pPb_numerator-Bjet_FullDataset_ssvhe20_etaCM_eta1.0To2.0.root");
}
else{
f0 = new TFile(Form("~/bTagTrees/pPb/raa_pPb_numerator-Bjet_NoUnfolding_FullDataset_ssvhe20_etaCM_v2_bin0_100_eta%.1fTo%.1f.root",etalo,etahi));
}
if(useUnfolded){
h = (TH1D*)(f0->Get("hReco0"));
he1 = (TH1D*)(f5->Get("hReco0"));
he2 = (TH1D*)(f6->Get("hReco0"));
he3 = (TH1D*)(f7->Get("hReco0"));
he4 = (TH1D*)(f8->Get("hReco0"));
}
else if(doInclusiveJet) h = (TH1D*)(f0->Get("hIncJetsData"));
else h = (TH1D*)(f0->Get("hReco0"));
//h = (TH1D*)he1->Clone("h");
//he1->Add(he2);
//he1->Add(he3);
//he1->Add(he4);
//h->Scale(1./6.9);
/* for(int i=1; i<=h->GetNbinsX(); i++){
h->SetBinError(i, h->GetBinError(i)/h->GetBinWidth(i));
h->SetBinContent(i, h->GetBinContent(i)/h->GetBinWidth(i));
}*/
//h->Scale(1./6.9); //pPb total N coll (L*pp x-sec * A, sigma_pp = 70 mb @ CERN)
if(doInclusiveJet) f2 = new TFile(Form("~/bTagTrees/pPb/raa_pp_denomForpA-inc_eta%.1fTo%.1f.root",etalo,etahi),"OLD");
else f2 = new TFile(Form("~/bTagTrees/pPb/raa_pp_denomForpA-Bjet_etaCM_v2_bin0_100_eta%.1fTo%.1f.root",etalo,etahi),"OLD"); //incl jet unfolding
//else f2 = new TFile(Form("raa_pp_denomForpA-Bjet_etaLab_eta%.1fTo%.1f.root",etalo,etahi),"OLD"); //bjet unfolding
f2->cd();
//h_den = (TH1D*)(f2->Get("hRawBMC"));
if(useUnfolded) h_den = (TH1D*)f2->Get("hGen_cent1");
else if(doInclusiveJet) h_den = (TH1D*)(f2->Get("hIncJetsMC"));
else h_den = (TH1D*)(f2->Get("hGen_cent1"));
TFile *xchk = new TFile("histos/ppMC_ppReco_akPu3PF_QCDjetTrig_etashift_Fix2Sample_MCWeightFinalWithVz_noTrgSelection_Full.root");
TTree *nt1 = (TTree*)xchk->Get("nt");
double xbinsXchk[19] = {0, 5, 10, 15, 20, 25, 30, 35, 40, 55, 70, 90, 110, 140, 170, 220, 400, 700, 1000};
TH1D *hf = new TH1D("hf","",18,xbinsXchk); hf->Sumw2();
nt1->Project("hf","refpt","weight*(abs(refparton_flavorForB)==5 && jteta<2 && jteta>-2 && jtpt>35 && rawpt>20)");
for(int i=1; i<=hf->GetNbinsX(); i++){
hf->SetBinError(i,hf->GetBinError(i)/hf->GetBinWidth(i));
hf->SetBinContent(i,hf->GetBinContent(i)/hf->GetBinWidth(i));
}
hf->SetLineColor(kRed+2);
//hf->Scale(1E9);
//hf->Scale(1./70.);
//hf->Scale(10.);
//h_den = hf;
TFile *ff = new TFile("pPb_Unfo_inCM_v31_officialMC_ak3PF_akPu3PF_noGplus_FirstHalfOnly_Converged_usedParameterizedUnfold0_jtpt35_bJets_clo0_chi100_v8_eta_-2.00To2.00_.root");
TH1D *hfCheck2 = (TH1D*)ff->Get("hGen_cent1");
TFile *ff2 = new TFile("pPb_Unfo_inCM_v31_officialMC_Reverse_WithResCorr_ak3PF_akPu3PF_noGplus_SecondHalfOnly_Converged_usedParameterizedUnfold0_jtpt35_bJets_clo0_chi100_v8_eta_-2.00To2.00_.root");
TH1D *hfCheck3 = (TH1D*)ff2->Get("hGen_cent1");
hfCheck2->Add(hfCheck3);
//hfCheck2 = (TH1D*)hfCheck2->Rebin(16,hfCheck2->GetName(),xbinsXchk);
//Fix raw B MC histogram to have 14 bins to be compatible with the unfolded nonsense
/*const int fixNbin = h->GetNbinsX();
Double_t binBoundaries[15];
for(int ibin=0; ibin<fixNbin; ibin++){
binBoundaries[ibin] = h->GetBinLowEdge(ibin+1);
}
binBoundaries[fixNbin] = h->GetBinLowEdge(fixNbin)+h->GetBinWidth(fixNbin);
TH1D *h_den_fix = new TH1D("h_den_fix","",fixNbin,binBoundaries); h_den_fix->Sumw2();
for(int ibin=0; ibin<fixNbin-h_den->GetNbinsX(); ibin++){
h_den_fix->SetBinContent(ibin+1,0);
h_den_fix->SetBinError(ibin+1,0);
}
for(int ibin=fixNbin-h_den->GetNbinsX(); ibin<fixNbin; ibin++){
h_den_fix->SetBinContent(ibin+1,h_den->GetBinContent(ibin-(fixNbin-h_den->GetNbinsX())+1));
h_den_fix->SetBinError(ibin+1,h_den->GetBinError(ibin-(fixNbin-h_den->GetNbinsX())+1));
}*/
//end fix
//h->Draw();
h->SetTitle("");
//h_den->SetMarkerColor(2);
//h_den->Draw("same");
//h->Divide(h_den);
h->SetYTitle("#frac{1}{T_{pA}} #frac{d#sigma}{dp_{T}} (1/GeV/c)");
h->SetMaximum(1E-6);
h->SetMinimum(1E-11);
h->Draw();
h_den->SetMarkerColor(4);
h_den->Draw("same");
hfCheck2->Scale(1./70.);
hfCheck2->SetLineColor(kGreen+2);
hf->Draw("same");
he2->SetMarkerColor(kOrange+2);
he2->Draw("same");
//hfCheck2->Draw("same");
//h_den = hfCheck2;
//c1->SetLogy();
for(int j=1; j<=h->GetNbinsX(); j++){
cout << h->GetBinLowEdge(j) << " ";
}
cout << h->GetBinLowEdge(h->GetNbinsX())+h->GetBinWidth(h->GetNbinsX()) << endl;
for(int j=1; j<=h_den->GetNbinsX(); j++){
cout << h_den->GetBinLowEdge(j) << " ";
}
cout << h_den->GetBinLowEdge(h_den->GetNbinsX())+h_den->GetBinWidth(h_den->GetNbinsX()) << endl;
TH1F *hpow, *hpow15;
//if(drawPowheg){
TFile *fpowheg50 = new TFile("Powheg/CMS-Dijet-Analysis-5tev-kt0-pt50Cut-mstwCL60PDF.root");
hpow = (TH1F*)fpowheg50->Get("d05-x01-y01")->Clone("hpow"); //inclusive eta, ak3 jets
TFile *fpowheg15 = new TFile("Powheg/CMS-Dijet-Analysis-5tev-kt0-pt20Cut-mstwCL60PDF.root");
hpow15 = (TH1F*)fpowheg15->Get("d05-x01-y01")->Clone("hpow15");
hpow15->Scale(25.4); //pthat20 relative (to pthat50) efficiency
//hpow15->Scale(405.); //pthat 5 relative efficiency
//hpow15->Scale(15.95);
for(int i=1; i<=hpow->GetNbinsX(); i++){
if(hpow->GetBinLowEdge(i)<100){
//cout << "edge: "<< hpow->GetBinLowEdge(i) << endl;
//cout << "hpow: "<< hpow->GetBinContent(i) << " hpow15: "<< hpow15->GetBinContent(i) << endl;
hpow->SetBinContent(i, hpow15->GetBinContent(i));
hpow->SetBinError(i, hpow15->GetBinError(i));
}
}
hpow->SetMarkerStyle(20);
hpow->SetMarkerColor(kOrange+2);
hpow->SetLineColor(kOrange+2);
hpow->Scale(2./10.); //fix eta selection
hpow->Scale(1./70E-3); //correct for sigma_pp
hpow->Scale(1.851e-3); //correct pthat50 efficiency (148086/80M)
//hpow->Scale(4.7e-2);
hpow->Scale(1e-9); //correct ncoll & translate to mb, not pb
//hpow->Scale(1./50.);
//hpow->Scale(0.85/(30.));
if(drawPowheg) hpow->Draw("same");
// }
TLegend *t1 = new TLegend(0.5,0.697,0.879,0.906);
t1->AddEntry(h,"pPb data b-jet spec.","p");
t1->AddEntry(h2,"pPb MC b-jet spec.","p");
t1->AddEntry(h_den,"pp MC b-jet spec.","p");
if(drawPowheg) t1->AddEntry(hpow,"Powheg Spec.","p");
t1->SetFillColor(0);
t1->Draw("same");
TCanvas *c2 = new TCanvas("c2","",600,600); //800,800
//formatCanvas(c2);
TH1D *hcln = (TH1D*)h->Clone("hcln");
cout << "nbin: "<< hcln->GetNbinsX() << endl;
//double xbinsrebin[17] = {0,5,10,15,20,25,30,35,40,55,70,90,110,140,170,220,400};
//TH1D *hcln = new TH1D("hcln","",16,xbinsrebin);
for(int ibin=1; ibin<=hcln->GetNbinsX(); ibin++){
cout << "content bin " << ibin << " " << hcln->GetBinContent(ibin) << endl;
cout << "powheg content bin " << ibin << " " << hpow->GetBinContent(ibin) << endl;
//hcln->SetBinError(ibin,hcln_tmp->GetBinError(ibin));
//hcln->SetBinContent(ibin,hcln_tmp->GetBinContent(ibin));
}
TH1D *hdencln = (TH1D*)h_den->Clone("hdencln");
TH1D *hclnpow = (TH1D*)hcln->Clone("hclnpow");
//cout << "WARNING! Scaling denominator for neutrinoless definition change!" << endl;
//hdencln->Scale(1./1.243);
if(!drawPowheg) hcln->Divide(hdencln);
else{
for(int ibin=1; ibin<=16; ibin++){
int powbin=ibin;
if(!useUnfolded) powbin+=8;
if(!useUnfolded && ibin>8) continue;
hcln->SetBinError(powbin,sqrt(pow(h_den->GetBinError(ibin)/h_den->GetBinContent(ibin),2)+pow(hpow->GetBinError(powbin)/hpow->GetBinContent(powbin),2)));
hcln->SetBinContent(powbin,h_den->GetBinContent(ibin)/hpow->GetBinContent(powbin));
}
}
//hcln->Divide(hcln);
//Apply systematic errors to the inclusive eta plot
TGraphErrors *systErr[7];
TGraphErrors *unfoldErr[7];
//set systematics
const int nBins = 18;
double xp[nBins], yp[nBins], xerr[nBins], yerr[nBins];
//double yerrTot[nBins] = {0,0,0,0,0,0,0,0,0.13729, 0.1306, 0.1235, 0.146166, 0.16266, 0.1437,0.1816,0.23813}; //before recalibration
double yerrTot[nBins] = {0,0,0,0,0,0,0,0,0,0.131694,0.0976, 0.0957, 0.1139, 0.1209, 0.1773, 0.2162,0,0}; //after recalibration
double unfoldErrTot[nBins] = {0,0,0,0,0,0,0,0,0,0.05,0.05,0.05,0.05,0.05,0.05,0.06,0,0};
double unfoldErrTotEta1[nBins] = {0,0,0,0,0,0,0,0,0,0.15,0.08,0.06,0.06,0.08,0.04,0.04,0,0};
//double pythiaSysErr[nBins+1] = {0,0,0,0,0,0,0,0.136,0.138,0.140,0.142,0.148,0.152,0.157,0.164,0.174,0.182}; //option B
// double optionBExtra[nBins+1] = {0,0,0,0,0,0,0,0,0,0.10,0.111,0.078,0.119,0.108,0.053,0.122,0.168};
double pythiaSysErr[1] = {0.22}; //option A
double pythiaYpoints[1] = {1};
double pythiaXpoints[1] = {10};
double pythiaXerr[1] = {10};
for(int i=0; i<nBins; i++){ yerrTot[i] = sqrt(pow(yerrTot[i],2)+pow(unfoldErrTot[i],2)); }
int j=0;
if(!doInclusiveJet){
for(int i=1; i<=hcln->GetNbinsX(); i++){
xp[i-1] = hcln->GetBinLowEdge(i)+hcln->GetBinWidth(i)/2.;
yp[i-1] = hcln->GetBinContent(i);
xerr[i-1] = hcln->GetBinWidth(i)*0.495;
yerr[i-1] = yerrTot[i-1];
//pythiaXpoints[i-1] = xp[i-1];
//pythiaXerr[i-1] = xerr[i-1];
if(yerr[i-1]>0.001 && yp[i-1]>-1){
systErr[j] = new TGraphErrors(1,&xp[i-1],&yp[i-1],&xerr[i-1],&yerrTot[i-1]);
unfoldErr[j] = new TGraphErrors(1,&xp[i-1],&yp[i-1],&xerr[i-1],&unfoldErrTot[i-1]);
systErr[j]->SetName(Form("RpA_SystErr_bin%d",j));
j++;
}
}
//pythiaXerr[16] = 0.;
//pythiaXpoints[16] = 400.;
/*for(int jj=0; jj<nBins+1; jj++){
pythiaSysErr[jj]*=(1+optionBExtra[jj]);
}*/
TGraphErrors *pythiaErr = new TGraphErrors(1,pythiaXpoints,pythiaYpoints,pythiaXerr,pythiaSysErr);
}
//TGraphErrors *systErr = new TGraphErrors(nBins,xp,yp,xerr,yerr);
double jesx[1]={2.365};
double jesy[1]={1};
double jesxerr[1]={.1};
double jesyerr[1]={0.035};
TGraphErrors *JESNorm = new TGraphErrors(1,jesx,jesy,jesxerr,jesyerr);
JESNorm->SetFillColor(kGreen+3);
hcln->SetMaximum(2.5);
hcln->SetMinimum(0);
if(doInclusiveJet) hcln->SetYTitle("Inclusive Jet R_{pA}");
else hcln->SetYTitle("Nuclear Modification Factor");
//else hcln->SetYTitle("b-jet R_{pA}^{PYTHIA}");
hcln->SetXTitle("b-jet p_{T} [GeV/c]");
hcln->GetXaxis()->SetRangeUser(0,400);
hcln->GetXaxis()->CenterTitle(0);
hcln->GetYaxis()->CenterTitle(0);
hcln->SetMarkerStyle(20);
hcln->SetMarkerColor(1);
hcln->SetMarkerSize(1.2);
for(int i=1; i<hcln->GetNbinsX(); i++){
if(hcln->GetBinLowEdge(i) < 55){
hcln->SetBinContent(i,-1);
hcln->SetBinError(i,0.0001);
}
}
hcln->Draw();
hclnpow->SetMarkerColor(kOrange+2);
hclnpow->SetLineColor(kOrange+2);
if(drawPowheg) hclnpow->Draw("same");
TLine *at2 = new TLine(0,1,400,1);
at2->SetLineStyle(7);
at2->SetLineWidth(1);
pythiaErr->SetFillColor(kRed-7);
//pythiaErr->SetFillStyle(1); //3844
if(!doInclusiveJet){
for(int i=0; i<7; i++){
unfoldErr[i]->SetFillColor(kCyan-7);
systErr[i]->SetFillColor(kYellow-7);
systErr[i]->SetMarkerStyle(20);
systErr[i]->Draw("2,same");
//unfoldErr[i]->Draw("2,same");
}
}
pythiaErr->Draw("2,same");
double lumix[1] = {10}; double lumiy[1] = {1}; double lumierrx[1] = {10}; double lumierry[1] = {0.035};
TGraphErrors *lumiErr = new TGraphErrors(1,lumix,lumiy,lumierrx,lumierry);
lumiErr->SetFillColor(kGreen+3);
lumiErr->Draw("2,same");
at2->Draw("same");
//JESNorm->Draw("2,same");
hcln->Draw("same");
//JESNorm->Draw("2,same");
TLine *phigh1 = new TLine(380,1.22,400,1.22);
phigh1->SetLineColor(2);
phigh1->SetLineStyle(4);
phigh1->SetLineWidth(1);
//phigh1->Draw("same");
TLine *phigh2 = new TLine(380,0.78,400,0.78);
phigh2->SetLineColor(2);
phigh2->SetLineStyle(4);
phigh2->SetLineWidth(1);
//phigh2->Draw("same");
double zeroTemp[1] = {0};
TGraphErrors *inclJetSys = new TGraphErrors(1,zeroTemp,zeroTemp,zeroTemp,zeroTemp);
inclJetSys->SetMarkerColor(2);
inclJetSys->SetMarkerStyle(21);
inclJetSys->SetFillColor(8);
//gROOT->ProcessLine(".x ~/Downloads/UnfoldedakPu3PFIncJetRpAvsPtInterpolatedRefEtaBin7.C");
//gROOT->ProcessLine(".x ~/Downloads/RAA_drawFinal.C");
if(drawTheory){
gROOT->ProcessLine(".x ~/Downloads/drawpPbTheory.C");
}
TGraph *raaErr = new TGraph();
raaErr->SetFillColor(kMagenta+1);
raaErr->SetMarkerStyle(20);
raaErr->SetMarkerSize(1.2);
TLegend *leg1 = new TLegend(0.41,0.729,0.88,0.886);
leg1->SetFillColor(0);
//leg1->AddEntry(inclJetSys,"Inclusive-Jet R_{pA}, |#eta_{CM}|<0.5","fp");
//leg1->AddEntry(raaErr,"b-jet R_{AA}, (0-100%), |#eta|<2","fp");
leg1->AddEntry(systErr[0],"pPb Data, -2 < #eta_{CM} < 2","fp");
leg1->AddEntry(grepPbtheory,"Ref. [32]","lp");
//leg1->AddEntry(pythiaErr,"Reference Unc.","f");
//leg1->AddEntry(lumiErr,"Luminosity Unc.","f");
//leg1->AddEntry(systErr[0],"Total Systematic Error","f");
//leg1->AddEntry(unfoldErr[0],"Unfolding Uncertainty","f");
leg1->Draw("same");
TLegend *leg3 = new TLegend(0.2,0.207,0.567,0.328);
leg3->SetFillColor(0);
leg3->AddEntry(lumiErr,"pPb Luminosity Unc.","f");
leg3->AddEntry(pythiaErr,"pPb Reference Unc.","f");
leg3->Draw("same");
grepPbtheory->Draw("C,same");
c2->SetTopMargin(0.0734);
c2->RedrawAxis();
TLatex *cmsP = new TLatex(16.7,2.25,"CMS ");
cmsP->SetTextFont(62);
cmsP->SetTextSize(0.0558);
cmsP->Draw("same");
TLatex *l1 = new TLatex(-0.5,0.18,Form("0-100%%",etalo,etahi));
//l1->Draw("same");
TLatex *l4 = new TLatex(236.8,2.56,"35 nb^{-1} (5.02 TeV)");//; PbPb L = 150 #mub^{-1}");
l4->SetTextFont(43);
l4->SetTextSize(25);
l4->Draw("same");
TLatex *l2 = new TLatex(20.77,0.175,"pPb #sqrt{s_{NN}} = 5.02 TeV #int L dt = 35 nb^{-1}"); //35, 20.7, 14
l2->SetTextSize(0.035);
//l2->Draw("same");
TLatex *l3 = new TLatex(-2,0.22,"PbPb #sqrt{s_{NN}} = 2.76 TeV #int L dt = 150 #mub^{-1}");
l3->SetTextSize(0.035);
//l3->Draw("same");
//TLatex *ltag = new TLatex(65,2.2,"CSV > 0.679");
TLatex *ltag = new TLatex(65,2.2,"SSVHE > 2.0");
//ltag->Draw("same");
TFile *out = new TFile("RpA_BJet_Output.root","RECREATE");
out->cd();
hcln->SetName("RpA");//,"b jet RpA");
hcln->Write();
h->Write();
h_den->Write();
for(int i=0; i<7; i++){
systErr[i]->Write();
}
out->Close();
// hcln->Fit("pol0","","",45,250);
//hcln->Fit("pol1","","",45,250);
cout << "values: { ";
for(int i=1; i<=hcln->GetNbinsX(); i++){
cout << hcln->GetBinContent(i) << " ";
}
cout << " }" << endl;
cout << "stat err: { ";
for(int i=1; i<=hcln->GetNbinsX(); i++){
cout << hcln->GetBinError(i) << " ";
}
cout << " }" << endl;
cout << "syst err: { ";
for(int i=1; i<=hcln->GetNbinsX(); i++){
cout << yerrTot[i-1]+(yerrTot[i-1]*hcln->GetBinContent(i)) << " ";
}
cout << " }" << endl;
}
void MCefficiency(TString inputmc="/data/wangj/MC2015/Dntuple/pp/revised/ntD_pp_Dzero_kpi_prompt/ntD_EvtBase_20160303_Dfinder_20160302_pp_Pythia8_prompt_D0_dPt0tkPt0p5_pthatweight.root", TString selmcgen="((GisSignal==1||GisSignal==2)&&(Gy>-1&&Gy<1))",TString selmcgenacceptance="((GisSignal==1||GisSignal==2)&&(Gy>-1&&Gy<1))&&abs(Gtk1eta)<2.0&&abs(Gtk2eta)<2.0&&Gtk1pt>2.0&&Gtk2pt>2.0", TString cut_recoonly="Dy>-1.&&Dy<1.&&Dtrk1highPurity&&Dtrk2highPurity&&Dtrk1Pt>2.0&&Dtrk2Pt>2.0&&Dtrk1PtErr/Dtrk1Pt<0.1&&Dtrk2PtErr/Dtrk2Pt<0.1&&abs(Dtrk1Eta)<2.0&&abs(Dtrk2Eta)<2.0&&Dtrk1Algo>3&&Dtrk1Algo<8&&(Dtrk1PixelHit+Dtrk1StripHit)>=11", TString cut="Dy>-1.&&Dy<1.&&Dtrk1highPurity&&Dtrk2highPurity&&Dtrk1Pt>2.0&&Dtrk2Pt>2.0&&(DsvpvDistance/DsvpvDisErr)>3.5&&(DlxyBS/DlxyBSErr)>1.5&&Dchi2cl>0.05&&Dalpha<0.12&&Dtrk1PtErr/Dtrk1Pt<0.1&&Dtrk2PtErr/Dtrk2Pt<0.1&&abs(Dtrk1Eta)<2.0&&abs(Dtrk2Eta)<2.0&&Dtrk1Algo>3&&Dtrk1Algo<8&&Dtrk2Algo>3&&Dtrk2Algo<8&&(Dtrk1PixelHit+Dtrk1StripHit)>=11&&(Dtrk1Chi2ndf/(Dtrk1nStripLayer+Dtrk1nPixelLayer)<0.15)&&(Dtrk2Chi2ndf/(Dtrk2nStripLayer+Dtrk2nPixelLayer)<0.15)",TString label="PP",TString outputfile="test", int useweight=1, int minfit=2,int maxfit=100)
{
std::cout<<"option="<<useweight<<std::endl;
selmc=cut;
gStyle->SetOptTitle(0);
gStyle->SetOptStat(0);
gStyle->SetEndErrorSize(0);
gStyle->SetMarkerStyle(20);
TFile* infMC = new TFile(inputmc.Data());
TTree* ntMC = (TTree*)infMC->Get("ntDkpi");
TTree* ntGen = (TTree*)infMC->Get("ntGen");
ntMC->AddFriend(ntGen);
TTree* nthi = (TTree*)infMC->Get("ntHi");
ntGen->AddFriend(nthi);
nthi->AddFriend(ntMC);
ntMC->AddFriend(nthi);
if (useweight==0){
weightfunctiongen="1";
weightfunctionreco="1";
}
if (useweight==1){
weightfunctiongen="pthatweight";
weightfunctionreco="pthatweight";
}
//ptweight pp
if (useweight==2){
weightfunctiongen="pow(10,-0.168499*Gpt+3.872855+Gpt*Gpt*0.000556)+pow(10,-0.068599*Gpt+2.512265+Gpt*Gpt*0.000331)";
weightfunctionreco="pow(10,-0.168499*Dgenpt+3.872855+Dgenpt*Dgenpt*0.000556)+pow(10,-0.068599*Dgenpt+2.512265+Dgenpt*Dgenpt*0.000331)";
}
//ptweight pbpb
if (useweight==3){
weightfunctiongen="pow(10,-0.091618*Gpt+2.966262+Gpt*Gpt*0.000524)+pow(10,-0.167553*Gpt+3.800779+Gpt*Gpt*-0.000798) +1.437905+-0.029141*Gpt+0.000146*Gpt*Gpt";
weightfunctionreco="pow(10,-0.091618*Dgenpt+2.966262+Dgenpt*Dgenpt*0.000524)+pow(10,-0.167553*Dgenpt+3.800779+Dgenpt*Dgenpt*-0.000798) +1.437905+-0.029141*Dgenpt+0.000146*Dgenpt*Dgenpt";
}
std::cout<<"fit function parameters="<<weightfunctiongen<<std::endl;
TH1D* hPtMC = new TH1D("hPtMC","",nBins,ptBins);
TH1D* hPtMCrecoonly = new TH1D("hPtMCrecoonly","",nBins,ptBins);
TH1D* hPtGen = new TH1D("hPtGen","",nBins,ptBins);
TH1D* hPtGenAcc = new TH1D("hPtGenAcc","",nBins,ptBins);
TH1D* hPthat = new TH1D("hPthat","",100,0,500);
TH1D* hPthatweight = new TH1D("hPthatweight","",100,0,500);
ntMC->Project("hPtMC","Dpt",TCut(weightfunctionreco)*(TCut(selmc.Data())&&"(Dgen==23333)"));
divideBinWidth(hPtMC);
ntMC->Project("hPtMCrecoonly","Dpt",TCut(weightfunctionreco)*(TCut(cut_recoonly.Data())&&"(Dgen==23333)"));
divideBinWidth(hPtMCrecoonly);
ntGen->Project("hPtGen","Gpt",TCut(weightfunctiongen)*(TCut(selmcgen.Data())));
divideBinWidth(hPtGen);
ntGen->Project("hPtGenAcc","Gpt",TCut(weightfunctiongen)*(TCut(selmcgenacceptance.Data())));
divideBinWidth(hPtGenAcc);
ntMC->Project("hPthat","pthat","1");
ntMC->Project("hPthatweight","pthat",TCut("1"));
hPtMC->Sumw2();
TH1D* hEff = (TH1D*)hPtMC->Clone("hEff");
hEff->Divide(hPtGen);
TH1D* hEffReco = (TH1D*)hPtMCrecoonly->Clone("hEffReco");
hEffReco->Sumw2();
hEffReco->Divide(hPtGen);
TH1D* hEffAcc = (TH1D*)hPtGenAcc->Clone("hEffAcc");
hEffAcc->Sumw2();
hEffAcc->Divide(hEffAcc,hPtGen,1,1,"b");
TH1D* hEffSelection = (TH1D*)hPtMC->Clone("hEffSelection");
hEffSelection->Sumw2();
hEffSelection->Divide(hEffSelection,hPtMCrecoonly,1,1,"b");
TH2F* hemptyEff=new TH2F("hemptyEff","",50,ptBins[0]-5.,ptBins[nBins]+5.,10.,0,1.5);
hemptyEff->GetXaxis()->CenterTitle();
hemptyEff->GetYaxis()->CenterTitle();
hemptyEff->GetYaxis()->SetTitle("acceptance x #epsilon_{reco} x #epsilon_{sel} ");
hemptyEff->GetXaxis()->SetTitle("p_{T} (GeV/c)");
hemptyEff->GetXaxis()->SetTitleOffset(0.9);
hemptyEff->GetYaxis()->SetTitleOffset(0.95);
hemptyEff->GetXaxis()->SetTitleSize(0.05);
hemptyEff->GetYaxis()->SetTitleSize(0.05);
hemptyEff->GetXaxis()->SetTitleFont(42);
hemptyEff->GetYaxis()->SetTitleFont(42);
hemptyEff->GetXaxis()->SetLabelFont(42);
hemptyEff->GetYaxis()->SetLabelFont(42);
hemptyEff->GetXaxis()->SetLabelSize(0.035);
hemptyEff->GetYaxis()->SetLabelSize(0.035);
hemptyEff->SetMaximum(2);
hemptyEff->SetMinimum(0.);
hemptyEff->Draw();
TH2F* hemptyEffAcc=(TH2F*)hemptyEff->Clone("hemptyEffAcc");
TH2F* hemptyEffReco=(TH2F*)hemptyEff->Clone("hemptyEffReco");
TH2F* hemptyEffSelection=(TH2F*)hemptyEff->Clone("hemptyEffSelection");
TCanvas*canvasEff=new TCanvas("canvasEff","canvasEff",1000.,500);
canvasEff->Divide(2,1);
canvasEff->cd(1);
hemptyEffAcc->SetYTitle("#alpha");
hemptyEffAcc->Draw();
hEffAcc->Draw("same");
/*
canvasEff->cd(2);
hEffReco->GetYaxis()->SetTitleOffset(1.2);
hemptyEffReco->SetYTitle("#alpha x #epsilon_{reco} ");
hemptyEffReco->Draw();
hEffReco->Draw("same");
canvasEff->cd(3);
hemptyEffSelection->SetYTitle(" #epsilon_{sel}");
hemptyEffSelection->Draw();
hEffSelection->Draw("same");
*/
canvasEff->cd(2);
hemptyEff->Draw();
hEff->Draw("same");
canvasEff->SaveAs(Form("canvasEff_study%s.pdf",Form(label.Data())));
TH2F* hemptyPthat=new TH2F("hemptyPthat","",50,0.,500.,10,1e-5,1e9);
hemptyPthat->GetXaxis()->CenterTitle();
hemptyPthat->GetYaxis()->CenterTitle();
hemptyPthat->GetYaxis()->SetTitle("Entries");
hemptyPthat->GetXaxis()->SetTitle("pthat");
hemptyPthat->GetXaxis()->SetTitleOffset(0.9);
hemptyPthat->GetYaxis()->SetTitleOffset(0.95);
hemptyPthat->GetXaxis()->SetTitleSize(0.05);
hemptyPthat->GetYaxis()->SetTitleSize(0.05);
hemptyPthat->GetXaxis()->SetTitleFont(42);
hemptyPthat->GetYaxis()->SetTitleFont(42);
hemptyPthat->GetXaxis()->SetLabelFont(42);
hemptyPthat->GetYaxis()->SetLabelFont(42);
hemptyPthat->GetXaxis()->SetLabelSize(0.035);
hemptyPthat->GetYaxis()->SetLabelSize(0.035);
hemptyPthat->SetMaximum(2);
hemptyPthat->SetMinimum(0.);
TH2F* hemptySpectra=new TH2F("hemptySpectra","",50,0.,130.,10,1,1e5);
hemptySpectra->GetXaxis()->CenterTitle();
hemptySpectra->GetYaxis()->CenterTitle();
hemptySpectra->GetYaxis()->SetTitle("Entries");
hemptySpectra->GetXaxis()->SetTitle("p_{T}");
hemptySpectra->GetXaxis()->SetTitleOffset(0.9);
hemptySpectra->GetYaxis()->SetTitleOffset(0.95);
hemptySpectra->GetXaxis()->SetTitleSize(0.05);
hemptySpectra->GetYaxis()->SetTitleSize(0.05);
hemptySpectra->GetXaxis()->SetTitleFont(42);
hemptySpectra->GetYaxis()->SetTitleFont(42);
hemptySpectra->GetXaxis()->SetLabelFont(42);
hemptySpectra->GetYaxis()->SetLabelFont(42);
hemptySpectra->GetXaxis()->SetLabelSize(0.035);
hemptySpectra->GetYaxis()->SetLabelSize(0.035);
TH2F* hemptyPthatWeighted=(TH2F*)hemptyPthat->Clone("hemptyPthatWeighted");
hemptyPthatWeighted->GetXaxis()->SetTitle("pthat reweighted");
TCanvas*canvasPthat=new TCanvas("canvasPthat","canvasPthat",1000.,500);
canvasPthat->Divide(2,1);
canvasPthat->cd(1);
gPad->SetLogy();
hemptyPthat->Draw("same");
hPthat->Draw("same");
canvasPthat->cd(2);
gPad->SetLogy();
hemptyPthatWeighted->Draw();
hPthatweight->Draw("same");
// canvasPthat->SaveAs(Form("canvasPthat_%s.pdf",Form(label.Data())));
TCanvas*canvasSpectra=new TCanvas("canvasSpectra","canvasSpectra",1000.,500);
canvasSpectra->Divide(2,1);
canvasSpectra->cd(1);
gPad->SetLogy();
hemptySpectra->Draw();
hPtMC->Draw("same");
canvasSpectra->cd(2);
gPad->SetLogy();
hemptySpectra->Draw();
hPtGen->Draw("same");
//canvasSpectra->SaveAs(Form("canvasSpectra_%s.pdf",Form(label.Data())));
TFile *fout=new TFile(outputfile.Data(),"recreate");
fout->cd();
hPtGen->Write();
hEffAcc->Write();
hEffReco->Write();
hEffSelection->Write();
hEff->Write();
hPtMC->Write();
fout->Close();
}
int main(int argc, char* argv[])
{
TApplication theApp(srcName.Data(), &argc, argv);
//=============================================================================
for (int i=0; i<argc; i++) cout << i << ", " << argv[i] << endl;
//=============================================================================
if (argc<5) return -1;
TString sPath = argv[1]; if (sPath.IsNull()) return -1;
TString sFile = argv[2]; if (sFile.IsNull()) return -1;
TString sJetR = argv[3]; if (sJetR.IsNull()) return -1;
TString sSjeR = argv[4]; if (sSjeR.IsNull()) return -1;
//=============================================================================
sPath.ReplaceAll("#", "/");
//=============================================================================
double dJetR = -1.;
if (sJetR=="JetR02") dJetR = 0.2;
if (sJetR=="JetR03") dJetR = 0.3;
if (sJetR=="JetR04") dJetR = 0.4;
if (sJetR=="JetR05") dJetR = 0.5;
if (dJetR<0.) return -1;
cout << "Jet R = " << dJetR << endl;
//=============================================================================
double dSjeR = -1.;
if (sSjeR=="SjeR01") dSjeR = 0.1;
if (sSjeR=="SjeR02") dSjeR = 0.2;
if (sSjeR=="SjeR03") dSjeR = 0.3;
if (sSjeR=="SjeR04") dSjeR = 0.4;
if (dSjeR<0.) return -1;
cout << "Sub-jet R = " << dSjeR << endl;
//=============================================================================
const double dJetsPtMin = 0.001;
const double dCutEtaMax = 1.6;
const double dJetEtaMax = 1.;
const double dJetAreaRef = TMath::Pi() * dJetR * dJetR;
fastjet::GhostedAreaSpec areaSpc(dCutEtaMax);
fastjet::JetDefinition jetsDef(fastjet::antikt_algorithm, dJetR, fastjet::BIpt_scheme, fastjet::Best);
//fastjet::AreaDefinition areaDef(fastjet::active_area,areaSpc);
fastjet::AreaDefinition areaDef(fastjet::active_area_explicit_ghosts,areaSpc);
//fastjet::JetDefinition bkgsDef(fastjet::kt_algorithm, 0.2, fastjet::BIpt_scheme, fastjet::Best);
//fastjet::AreaDefinition aBkgDef(fastjet::active_area_explicit_ghosts, areaSpc);
fastjet::Selector selectJet = fastjet::SelectorAbsEtaMax(dJetEtaMax);
//fastjet::Selector selectRho = fastjet::SelectorAbsEtaMax(dCutEtaMax-0.2);
//fastjet::Selector selecHard = fastjet::SelectorNHardest(2);
//fastjet::Selector selectBkg = selectRho * (!(selecHard));
//fastjet::JetMedianBackgroundEstimator bkgsEstimator(selectBkg, bkgsDef, aBkgDef);
//fastjet::Subtractor bkgSubtractor(&bkgsEstimator);
fastjet::JetDefinition subjDef(fastjet::antikt_algorithm, dSjeR, fastjet::BIpt_scheme, fastjet::Best);
//=============================================================================
std::vector<fastjet::PseudoJet> fjInput;
//=============================================================================
TList *list = new TList();
TH1D *hPtHat = new TH1D("hPtHat", "", 1000, 0., 1000.);
TH1D *hJet = new TH1D("hJet", "", 1000, 0., 1000.); hJet->Sumw2(); list->Add(hJet);
TH2D *hJetNsj = new TH2D("hJetNsj", "", 1000, 0., 1000., 101, -0.5, 100.5); hJetNsj->Sumw2(); list->Add(hJetNsj);
TH2D *hJetIsj = new TH2D("hJetIsj", "", 1000, 0., 1000., 1000, 0., 1000.); hJetIsj->Sumw2(); list->Add(hJetIsj);
TH2D *hJet1sj = new TH2D("hJet1sj", "", 1000, 0., 1000., 1000, 0., 1000.); hJet1sj->Sumw2(); list->Add(hJet1sj);
TH2D *hJet2sj = new TH2D("hJet2sj", "", 1000, 0., 1000., 1000, 0., 1000.); hJet2sj->Sumw2(); list->Add(hJet2sj);
TH2D *hJetDsj = new TH2D("hJetDsj", "", 1000, 0., 1000., 1000, 0., 1000.); hJetDsj->Sumw2(); list->Add(hJetDsj);
TH2D *hJetIsz = new TH2D("hJetIsz", "", 1000, 0., 1000., 120, 0., 1.2); hJetIsz->Sumw2(); list->Add(hJetIsz);
TH2D *hJet1sz = new TH2D("hJet1sz", "", 1000, 0., 1000., 120, 0., 1.2); hJet1sz->Sumw2(); list->Add(hJet1sz);
TH2D *hJet2sz = new TH2D("hJet2sz", "", 1000, 0., 1000., 120, 0., 1.2); hJet2sz->Sumw2(); list->Add(hJet2sz);
TH2D *hJetDsz = new TH2D("hJetDsz", "", 1000, 0., 1000., 120, 0., 1.2); hJetDsz->Sumw2(); list->Add(hJetDsz);
//=============================================================================
AliRunLoader *rl = AliRunLoader::Open(Form("%s/galice.root",sPath.Data())); if (!rl) return -1;
if (rl->LoadHeader()) return -1;
if (rl->LoadKinematics("READ")) return -1;
//=============================================================================
for (Int_t iEvent=0; iEvent<rl->GetNumberOfEvents(); iEvent++) {
fjInput.resize(0);
if (rl->GetEvent(iEvent)) continue;
//=============================================================================
AliStack *pStack = rl->Stack(); if (!pStack) continue;
AliHeader *pHeader = rl->GetHeader(); if (!pHeader) continue;
//=============================================================================
AliGenPythiaEventHeader *pHeadPy = (AliGenPythiaEventHeader*)pHeader->GenEventHeader();
if (!pHeadPy) continue;
hPtHat->Fill(pHeadPy->GetPtHard());
//=============================================================================
for (Int_t i=0; i<pStack->GetNtrack(); i++) if (pStack->IsPhysicalPrimary(i)) {
TParticle *pTrk = pStack->Particle(i); if (!pTrk) continue;
if (TMath::Abs(pTrk->Eta())>dCutEtaMax) { pTrk = 0; continue; }
// TParticlePDG *pPDG = pTrk->GetPDG(); if (!pPDG) { pTrk = 0; continue; }
fjInput.push_back(fastjet::PseudoJet(pTrk->Px(), pTrk->Py(), pTrk->Pz(), pTrk->P()));
// pPDG = 0;
pTrk = 0;
}
//=============================================================================
fastjet::ClusterSequenceArea clustSeq(fjInput, jetsDef, areaDef);
std::vector<fastjet::PseudoJet> includJets = clustSeq.inclusive_jets(dJetsPtMin);
// std::vector<fastjet::PseudoJet> subtedJets = bkgSubtractor(includJets);
std::vector<fastjet::PseudoJet> selectJets = selectJet(includJets);
// std::vector<fastjet::PseudoJet> sortedJets = fastjet::sorted_by_pt(selectJets);
for (int j=0; j<selectJets.size(); j++) {
double dJet = selectJets[j].pt();
hJet->Fill(dJet);
//=============================================================================
fastjet::Filter trimmer(subjDef, fastjet::SelectorPtFractionMin(0.));
fastjet::PseudoJet trimmdJet = trimmer(selectJets[j]);
std::vector<fastjet::PseudoJet> trimmdSj = trimmdJet.pieces();
double nIsj = 0.;
double d1sj = -1.; int k1sj = -1;
double d2sj = -1.; int k2sj = -1;
for (int i=0; i<trimmdSj.size(); i++) {
double dIsj = trimmdSj[i].pt(); if (dIsj<0.001) continue;
hJetIsj->Fill(dJet, dIsj);
hJetIsz->Fill(dJet, dIsj/dJet);
if (dIsj>d1sj) {
d2sj = d1sj; k2sj = k1sj;
d1sj = dIsj; k1sj = i;
} else if (dIsj>d2sj) {
d2sj = dIsj; k2sj = i;
} nIsj += 1.;
}
hJetNsj->Fill(dJet, nIsj);
if (d1sj>0.) { hJet1sj->Fill(dJet, d1sj); hJet1sz->Fill(dJet, d1sj/dJet); }
if (d2sj>0.) { hJet2sj->Fill(dJet, d2sj); hJet2sz->Fill(dJet, d2sj/dJet); }
if ((d1sj>0.) && (d2sj>0.)) {
double dsj = d1sj - d2sj;
double dsz = dsj / dJet;
hJetDsj->Fill(dJet, dsj);
hJetDsz->Fill(dJet, dsz);
}
}
//=============================================================================
pStack = 0;
pHeadPy = 0;
pHeader = 0;
}
//=============================================================================
rl->UnloadgAlice();
rl->UnloadHeader();
rl->UnloadKinematics();
rl->RemoveEventFolder();
//=============================================================================
TFile *file = TFile::Open(Form("%s/pyxsec_hists.root",sPath.Data()), "READ");
TList *lXsc = (TList*)file->Get("cFilterList");
file->Close();
TH1D *hWeightSum = (TH1D*)lXsc->FindObject("h1Trials"); hWeightSum->SetName("hWeightSum");
TProfile *hSigmaGen = (TProfile*)lXsc->FindObject("h1Xsec"); hSigmaGen->SetName("hSigmaGen");
//=============================================================================
file = TFile::Open(Form("%s.root",sFile.Data()), "NEW");
hPtHat->Write();
hWeightSum->Write();
hSigmaGen->Write();
list->Write();
file->Close();
//=============================================================================
cout << "DONE" << endl;
//=============================================================================
return 0;
}
void makePlots_hltEleHT_Zcr( bool printPDF_ = false, double sfMC_ = 1., bool renorm_ = false ){
TH1::SetDefaultSumw2();
TFile* file_data = new TFile("HistoFiles/hltEleHT_treeReader_Zcr_SingleElectron_Run2015D_PromptReco_254231_258158_histo.root");
TFile* file_mc = new TFile("HistoFiles/hltEleHT_treeReader_Zcr_DYJets_M50_13TeV_Spring15_Asympt25ns_histo.root");
std::vector<TString> histLabels(2);
histLabels[0] = "SingleElectron";
histLabels[1] = "DYJetsToLL_M50";
Color_t color[8];
color[0] = kBlue;
color[1] = kRed;
// color[2] = kBlack;
// color[3] = kGreen+1;
// color[4] = kMagenta+2;
// color[5] = kRed+1;
// color[6] = kGreen-5;
// color[7] = kRed+3;
TString dirprefix = "Images/Images_2015_11_06_hltEleHT_Zcr/";
if( renorm_ ) dirprefix = "Images/Images_2015_11_06_hltEleHT_Zcr_renorm/";
struct stat st;
if( stat(dirprefix.Data(),&st) != 0 ) mkdir(dirprefix.Data(),0777);
/////////////////////////////////////////////////////////////////////////////////////////////////////////////
std::vector<std::string> histoname1;
std::vector<std::string> histoname2;
histoname1.push_back("h_probe_pt");
histoname1.push_back("h_probe_eta");
histoname1.push_back("h_probe_phi");
histoname1.push_back("h_probe_numPVs");
histoname1.push_back("h_HT30");
histoname1.push_back("h_HT30_v2");
histoname2.push_back("h_numPVs");
histoname2.push_back("h_numPVs_PUwgt");
histoname2.push_back("h_event_selection");
histoname2.push_back("h_diele_mass");
histoname2.push_back("h_diele_mass_closestZmass");
histoname2.push_back("h_diele_deltaR");
histoname2.push_back("h_L1HTT");
histoname2.push_back("h_HT30");
histoname2.push_back("h_HT30_L1HTT125");
histoname2.push_back("h_HT30_L1HTT125_passHLTEle27HT200");
histoname2.push_back("h_met_pt");
histoname2.push_back("h_jet_1_pt");
histoname2.push_back("h_jet_2_pt");
histoname2.push_back("h_jet_3_pt");
histoname2.push_back("h_jet_4_pt");
histoname2.push_back("h_jet_pt");
histoname2.push_back("h_jet_eta");
histoname2.push_back("h_jet_phi");
histoname2.push_back("h_jet_csv");
histoname2.push_back("h_numJet");
histoname2.push_back("h_numBtag");
histoname2.push_back("h_deltaR_jet_ele");
histoname2.push_back("h_numL1EG25");
histoname2.push_back("h_l1EG25_pt");
histoname2.push_back("h_l1EG25_eta");
histoname2.push_back("h_l1EG25_phi");
histoname2.push_back("h_l1EG25_1_pt");
histoname2.push_back("h_l1EG25_2_pt");
histoname2.push_back("h_l1EG25_1_eta");
histoname2.push_back("h_l1EG25_2_eta");
/////////////////////////////////////////////////////////////////////////////////////////////////////////////
TGaxis::SetMaxDigits(3);
TString lumiinfo = "553 pb^{-1} (13 TeV)";
TLatex LumiInfoLatex(0.70, 0.91, lumiinfo);
LumiInfoLatex.SetNDC(); LumiInfoLatex.SetTextFont(42);
LumiInfoLatex.SetTextSize(0.04);
//TString cmsinfo = "CMS Preliminary";
TString cmsinfo = "CMS";
TLatex CMSInfoLatex(0.18, 0.91, cmsinfo);
CMSInfoLatex.SetNDC(); CMSInfoLatex.SetTextFont(42);
CMSInfoLatex.SetTextFont(61);
CMSInfoLatex.SetTextSize(0.055); //SBOUTLE
std::string publishinfo = "Preliminary"; //DPUIGH
TLatex PublishInfoLatex(0.28, 0.91, publishinfo.c_str()); //SBOUTLE
PublishInfoLatex.SetNDC();
PublishInfoLatex.SetTextFont(52);
PublishInfoLatex.SetTextSize(0.045); //SBOUTLE
TString plotname;
TCanvas* myC1 = new TCanvas("myC1", "myC1", 600,700);
gStyle->SetPadBorderMode(0);
gStyle->SetFrameBorderMode(0);
Float_t small = 1.e-5;
myC1->Divide(1,2,small,small);
const float padding=1e-5; const float ydivide=0.3;
myC1->GetPad(1)->SetPad( padding, ydivide + padding , 1-padding, 1-padding);
myC1->GetPad(2)->SetPad( padding, padding, 1-padding, ydivide-padding);
myC1->GetPad(1)->SetLeftMargin(.11);
myC1->GetPad(2)->SetLeftMargin(.11);
myC1->GetPad(1)->SetRightMargin(.05);
myC1->GetPad(2)->SetRightMargin(.05);
myC1->GetPad(1)->SetBottomMargin(.3);
myC1->GetPad(2)->SetBottomMargin(.3);
myC1->GetPad(1)->Modified();
myC1->GetPad(2)->Modified();
myC1->cd(1);
gPad->SetBottomMargin(small);
gPad->Modified();
for( int i=0; i<int(histoname1.size()); i++ ){
TString temp = histoname1[i];
TString temp_mh = temp;
temp_mh.ReplaceAll("h_","");
// TLegend *legend = new TLegend(0.1,0.91,0.9,0.99);
//TLegend *legend = new TLegend(0.2,0.91,0.9,0.99);
//TLegend *legend = new TLegend(0.1,0.91,0.9,0.99);
TLegend *legend = new TLegend(0.2,0.83,0.9,0.89);
legend->SetFillColor(kWhite);
legend->SetLineColor(kWhite);
legend->SetShadowColor(kWhite);
legend->SetTextFont(42);
legend->SetTextSize(0.04);
legend->SetNColumns(2);
int rebin = 1;
if( temp.Contains("_HT30") ) rebin = 10;
TString s_all = temp+"_all";
TString s_l1t = temp+"_pL1T";
TString s_hlt = temp+"_pHLT";
if( temp.Contains("_HT30") ){
s_all = temp+"";
s_l1t = temp+"_L1HTT125";
s_hlt = temp+"_L1HTT125_passHLTEle27HT200";
}
if( temp.Contains("_HT30_v2") ){
s_all = temp+"";
s_l1t = temp+"_L1HTT";
s_hlt = temp+"_L1HTT_HLTHT";
}
TH1D* h_data_all = (TH1D*)file_data->Get(s_all);
TH1D* h_data_l1t = (TH1D*)file_data->Get(s_l1t);
TH1D* h_data_hlt = (TH1D*)file_data->Get(s_hlt);
TH1D* h_mc_all = (TH1D*)file_mc->Get(s_all);
TH1D* h_mc_l1t = (TH1D*)file_mc->Get(s_l1t);
TH1D* h_mc_hlt = (TH1D*)file_mc->Get(s_hlt);
h_data_all->Rebin(rebin);
h_data_l1t->Rebin(rebin);
h_data_hlt->Rebin(rebin);
h_mc_all->Rebin(rebin);
h_mc_l1t->Rebin(rebin);
h_mc_hlt->Rebin(rebin);
double eps = 0.001;
int nbins = h_data_all->GetNbinsX();
for( int iBin=0; iBin<nbins+1; iBin++ ){
double content1 = h_mc_hlt->GetBinContent(iBin+1);
double content2 = h_mc_l1t->GetBinContent(iBin+1);
double content3 = h_mc_all->GetBinContent(iBin+1);
double diff12 = content1 - content2;
if( diff12>0 ) content2 += diff12 + eps;
double diff23 = content2 - content3;
if( diff23>0 ) content3 += diff23 + eps;
h_mc_l1t->SetBinContent(iBin+1,content2);
h_mc_all->SetBinContent(iBin+1,content3);
}
TEfficiency* h_eff_data_l1t_all = new TEfficiency(*h_data_l1t, *h_data_all);
TEfficiency* h_eff_data_hlt_all = new TEfficiency(*h_data_hlt, *h_data_all);
TEfficiency* h_eff_data_hlt_l1t = new TEfficiency(*h_data_hlt, *h_data_l1t);
TEfficiency* h_eff_mc_l1t_all = new TEfficiency(*h_mc_l1t, *h_mc_all);
TEfficiency* h_eff_mc_hlt_all = new TEfficiency(*h_mc_hlt, *h_mc_all);
TEfficiency* h_eff_mc_hlt_l1t = new TEfficiency(*h_mc_hlt, *h_mc_l1t);
h_eff_data_l1t_all->SetLineColor(color[0]);
h_eff_data_l1t_all->SetMarkerColor(color[0]);
h_eff_data_l1t_all->SetMarkerStyle(20);
h_eff_data_hlt_all->SetLineColor(color[0]);
h_eff_data_hlt_all->SetMarkerColor(color[0]);
h_eff_data_hlt_all->SetMarkerStyle(20);
h_eff_data_hlt_l1t->SetLineColor(color[0]);
h_eff_data_hlt_l1t->SetMarkerColor(color[0]);
h_eff_data_hlt_l1t->SetMarkerStyle(20);
h_eff_mc_l1t_all->SetLineColor(color[1]);
h_eff_mc_l1t_all->SetMarkerColor(color[1]);
h_eff_mc_l1t_all->SetMarkerStyle(20);
h_eff_mc_hlt_all->SetLineColor(color[1]);
h_eff_mc_hlt_all->SetMarkerColor(color[1]);
h_eff_mc_hlt_all->SetMarkerStyle(20);
h_eff_mc_hlt_l1t->SetLineColor(color[1]);
h_eff_mc_hlt_l1t->SetMarkerColor(color[1]);
h_eff_mc_hlt_l1t->SetMarkerStyle(20);
legend->AddEntry(h_eff_data_l1t_all,histLabels[0],"p");
legend->AddEntry(h_eff_mc_l1t_all,histLabels[1],"p");
TH1D* h_ratio_eff_l1t_all = divide_ratio_plots(h_data_l1t, h_data_all, h_mc_l1t, h_mc_all);
TH1D* h_ratio_eff_hlt_all = divide_ratio_plots(h_data_hlt, h_data_all, h_mc_hlt, h_mc_all);
TH1D* h_ratio_eff_hlt_l1t = divide_ratio_plots(h_data_hlt, h_data_l1t, h_mc_hlt, h_mc_l1t);
h_ratio_eff_l1t_all->SetMarkerStyle(20);
h_ratio_eff_hlt_all->SetMarkerStyle(20);
h_ratio_eff_hlt_l1t->SetMarkerStyle(20);
h_data_all->SetStats(0);
//c3->SetTopMargin(.05);
//c1->SetRightMargin(.05);
double ratioMax = 1.6;
double ratioMin = 0.5;
double xmin = h_data_all->GetBinLowEdge(1);
double xmax = h_data_all->GetBinLowEdge(nbins) + h_data_all->GetBinWidth(nbins);
TH1D* myRatio = (TH1D*)h_data_all->Clone("ratio_"+temp);
//new TH1D("ratio", "", nbins, xmin, xmax );
myRatio->SetStats(0);
myRatio->Sumw2();
myRatio->SetLineColor(kBlack);
myRatio->SetMarkerColor(kBlack);
//myRatio->Divide(hist[bin_one],hist[bin_two]);
myRatio->SetMinimum(ratioMin);
myRatio->SetMaximum(ratioMax);
//myRatio->GetYaxis()->SetNdivisions(50000+404);
myRatio->GetYaxis()->SetNdivisions(50000+204);
myRatio->GetYaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetTitleOffset(1.1);
myRatio->GetXaxis()->SetTitle(h_data_all->GetXaxis()->GetTitle()); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.12);
myRatio->GetXaxis()->SetLabelOffset(0.04);
myRatio->GetXaxis()->SetTitleSize(0.12);
myRatio->GetYaxis()->SetTitle("Data/MC");
myRatio->GetYaxis()->SetTitleSize(0.09);
myRatio->GetYaxis()->SetTitleOffset(.55);
myC1->cd(2);
gPad->SetTopMargin(small);
gPad->SetTickx();
gPad->Modified();
myRatio->GetYaxis()->CenterTitle(kTRUE);
double maxPt = 499.9999;
double minPt = 0.000001;
h_data_all->GetYaxis()->SetTitleOffset(1.0);
h_data_all->GetYaxis()->SetTitleSize(0.05);
h_data_all->GetYaxis()->SetTitle("Efficiency");
h_data_all->GetYaxis()->SetRangeUser(0.,1.15);
bool rerange = false;
//if( (temp.Contains("_pt")) ){ rerange=true; xmin = 10.0001; xmax = 199.9; }
if( (temp.Contains("_pt")) ){ rerange=true; xmin = 30.001; xmax = 199.9; }
if( rerange ){
h_data_all->GetXaxis()->SetRangeUser(xmin,xmax);
myRatio->GetXaxis()->SetRangeUser(xmin,xmax);
}
if( temp.Contains("_pt") ){
h_data_all->GetYaxis()->SetRangeUser(0.5,1.05);
}
if( temp.Contains("_numPVs") ){
h_data_all->GetYaxis()->SetRangeUser(0.45,1.05);
}
// if( temp.Contains("_eta") ) h_all->GetYaxis()->SetRangeUser(0.4,1.1);
// if( temp.Contains("_numGenPVs") ) h_all->GetYaxis()->SetRangeUser(0.4,1.1);
// if( temp.Contains("_numJets") ) h_all->GetYaxis()->SetRangeUser(0.4,1.1);
TLine* myLine;
myLine = new TLine(xmin, 1, xmax, 1);
//// l1t_all
myC1->cd(1);
h_data_all->Draw("axis");
h_eff_data_l1t_all->Draw("pe1same");
h_eff_mc_l1t_all->Draw("pe1same");
legend->Draw();
LumiInfoLatex.Draw();
CMSInfoLatex.Draw();
PublishInfoLatex.Draw();
myC1->cd(2);
myRatio->SetLineWidth(2);
myRatio->Draw("axis");
myLine->Draw();
h_ratio_eff_l1t_all->Draw("pe1same");
plotname = dirprefix + temp_mh + "_data2mc_eff_l1t_all_lin.png";
myC1->Print(plotname);
plotname = dirprefix + temp_mh + "_data2mc_eff_l1t_all_lin.pdf";
if( printPDF_ ) myC1->Print(plotname);
//// hlt_all
myC1->cd(1);
h_data_all->Draw("axis");
h_eff_data_hlt_all->Draw("pe1same");
h_eff_mc_hlt_all->Draw("pe1same");
legend->Draw();
LumiInfoLatex.Draw();
CMSInfoLatex.Draw();
PublishInfoLatex.Draw();
myC1->cd(2);
myRatio->SetLineWidth(2);
myRatio->Draw("axis");
myLine->Draw();
h_ratio_eff_hlt_all->Draw("pe1same");
plotname = dirprefix + temp_mh + "_data2mc_eff_hlt_all_lin.png";
myC1->Print(plotname);
plotname = dirprefix + temp_mh + "_data2mc_eff_hlt_all_lin.pdf";
if( printPDF_ ) myC1->Print(plotname);
//// hlt_l1t
myC1->cd(1);
h_data_all->Draw("axis");
h_eff_data_hlt_l1t->Draw("pe1same");
h_eff_mc_hlt_l1t->Draw("pe1same");
legend->Draw();
LumiInfoLatex.Draw();
CMSInfoLatex.Draw();
PublishInfoLatex.Draw();
myC1->cd(2);
myRatio->SetLineWidth(2);
myRatio->Draw("axis");
myLine->Draw();
h_ratio_eff_hlt_l1t->Draw("pe1same");
plotname = dirprefix + temp_mh + "_data2mc_eff_hlt_l1t_lin.png";
myC1->Print(plotname);
plotname = dirprefix + temp_mh + "_data2mc_eff_hlt_l1t_lin.pdf";
if( printPDF_ ) myC1->Print(plotname);
delete myRatio;
delete myLine;
delete legend;
} // end loop on hists
////////////////////////////////////////////////////////////////////////////
for( int i=0; i<int(histoname2.size()); i++ ){
TString temp = histoname2[i];
TString temp_mh = temp;
temp_mh.ReplaceAll("h_","");
//TLegend *legend = new TLegend(0.1,0.91,0.9,0.99);
TLegend *legend = new TLegend(0.2,0.83,0.88,0.89);
legend->SetFillColor(kWhite);
legend->SetLineColor(kWhite);
legend->SetShadowColor(kWhite);
legend->SetTextFont(42);
legend->SetTextSize(0.04);
legend->SetNColumns(2);
int rebin = 1;
if( temp.Contains("_mass") ) rebin = 2;
if( temp.Contains("_L1HTT") ) rebin = 2;
if( temp.Contains("_met") ) rebin = 5;
if( temp.Contains("_jet_") && temp.Contains("_pt") ) rebin = 10;
if( temp.Contains("_jet_") && temp.Contains("_eta") ) rebin = 4;
if( temp.Contains("_jet_") && temp.Contains("_phi") ) rebin = 4;
if( temp.Contains("_csv") ) rebin = 8;
if( temp.Contains("_diele_mass_closestZmass") ) rebin = 5;
TH1D* h_data = (TH1D*)file_data->Get(temp.Data());
TH1D* h_mc = (TH1D*)file_mc->Get(temp.Data());
h_data->Rebin(rebin);
h_mc->Rebin(rebin);
h_mc->Scale(sfMC_);
if( temp.Contains("_numPV") || renorm_ ){
h_mc->Scale( h_data->Integral() / h_mc->Integral() );
}
h_data->SetLineColor(color[0]);
h_mc->SetLineColor(color[1]);
h_data->SetMarkerColor(color[0]);
h_mc->SetMarkerColor(color[1]);
h_data->SetMarkerStyle(20);
h_mc->SetMarkerStyle(20);
legend->AddEntry(h_data,histLabels[0],"pe1");
legend->AddEntry(h_mc,histLabels[1],"pe1");
//c3->SetTopMargin(.05);
//c1->SetRightMargin(.05);
double ratioMax = 1.6;
double ratioMin = 0.5;
int nbins = h_data->GetNbinsX();
double xmin = h_data->GetBinLowEdge(1);
double xmax = h_data->GetBinLowEdge(nbins) + h_data->GetBinWidth(nbins);
TH1D* myRatio = new TH1D("ratio", "", nbins, xmin, xmax );
myRatio->SetStats(0);
myRatio->Sumw2();
myRatio->SetLineColor(kBlack);
myRatio->SetMarkerColor(kBlack);
myRatio->Divide(h_data,h_mc);
myRatio->SetMinimum(ratioMin);
myRatio->SetMaximum(ratioMax);
//myRatio->GetYaxis()->SetNdivisions(50000+404);
myRatio->GetYaxis()->SetNdivisions(50000+204);
myRatio->GetYaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.1); //make y label bigger
myRatio->GetXaxis()->SetTitleOffset(1.1);
myRatio->GetXaxis()->SetTitle(h_data->GetXaxis()->GetTitle()); //make y label bigger
myRatio->GetXaxis()->SetLabelSize(0.12);
myRatio->GetXaxis()->SetLabelOffset(0.04);
myRatio->GetXaxis()->SetTitleSize(0.12);
myRatio->GetYaxis()->SetTitle("Data/MC");
myRatio->GetYaxis()->SetTitleSize(0.09);
myRatio->GetYaxis()->SetTitleOffset(.55);
myC1->cd(2);
gPad->SetTopMargin(small);
gPad->SetTickx();
gPad->Modified();
myRatio->GetYaxis()->CenterTitle(kTRUE);
if( temp.Contains("_selection") ){
for( int iBin=0; iBin<nbins; iBin++ ) myRatio->GetXaxis()->SetBinLabel(iBin+1,h_data->GetXaxis()->GetBinLabel(iBin+1));
myRatio->GetXaxis()->SetBinLabel(2,"HLT Ele27WPL");
myRatio->GetXaxis()->SetBinLabel(8,"HLT HT200");
myC1->GetPad(2)->SetBottomMargin(.4);
myC1->GetPad(1)->SetRightMargin(.10);
myC1->GetPad(2)->SetRightMargin(.10);
myRatio->GetXaxis()->SetTitle("");
}
else{
myC1->GetPad(2)->SetBottomMargin(.3);
myC1->GetPad(1)->SetRightMargin(.05);
myC1->GetPad(2)->SetRightMargin(.05);
}
h_data->SetStats(0);
h_data->GetYaxis()->SetTitleOffset(1.0);
h_data->GetYaxis()->SetTitleSize(0.05);
h_data->GetYaxis()->SetTitle("Number of Events");
int max_bin_data = h_data->GetMaximumBin();
double max_data = h_data->GetBinContent(max_bin_data) + h_data->GetBinError(max_bin_data);
int max_bin_mc = h_mc->GetMaximumBin();
double max_mc = h_mc->GetBinContent(max_bin_mc) + h_mc->GetBinError(max_bin_mc);
double max_content = std::max(max_data, max_mc);
h_data->GetYaxis()->SetRangeUser(0.,1.2 * max_content);
if( temp.Contains("_mass") ){
h_data->GetXaxis()->SetRangeUser(40.,140.);
myRatio->GetXaxis()->SetRangeUser(40.,140.);
}
if( temp.Contains("_met") ){
h_data->GetXaxis()->SetRangeUser(0.,150.);
myRatio->GetXaxis()->SetRangeUser(0.,150.);
}
// if( temp.Contains("_eta") ) h_all->GetYaxis()->SetRangeUser(0.4,1.1);
// if( temp.Contains("_numGenPVs") ) h_all->GetYaxis()->SetRangeUser(0.4,1.1);
// if( temp.Contains("_numJets") ) h_all->GetYaxis()->SetRangeUser(0.4,1.1);
TLine* myLine;
if( temp.Contains("_mass") ) myLine = new TLine(40, 1, 140, 1);
else if( temp.Contains("_met") ) myLine = new TLine(0, 1, 150, 1);
else myLine = new TLine(h_data->GetXaxis()->GetXmin(), 1, h_data->GetXaxis()->GetXmax(), 1);
// HLT
myC1->cd(1);
h_data->Draw("pe1");
h_mc->Draw("pe1same");
legend->Draw();
LumiInfoLatex.Draw();
CMSInfoLatex.Draw();
PublishInfoLatex.Draw();
myC1->cd(2);
myRatio->SetLineWidth(2);
myRatio->Draw("pe1");
myLine->Draw();
plotname = dirprefix + temp_mh + "_data2mc_lin.png";
myC1->Print(plotname);
plotname = dirprefix + temp_mh + "_data2mc_lin.pdf";
if( printPDF_ ) myC1->Print(plotname);
// log
h_data->GetYaxis()->SetRangeUser(0.4,12 * max_content);
if( temp.Contains("_selection") ){
h_data->GetYaxis()->SetRangeUser(1000,12 * max_content);
}
myC1->cd(1);
gPad->SetLogy(1);
plotname = dirprefix + temp_mh + "_data2mc_log.png";
myC1->Print(plotname);
plotname = dirprefix + temp_mh + "_data2mc_log.pdf";
if( printPDF_ ) myC1->Print(plotname);
gPad->SetLogy(0);
delete myRatio;
delete myLine;
delete legend;
} // end loop on hists
// Close the file
file_data->Close();
file_mc->Close();
}
void CombineSpectra_minbias_NoOLDAlignmentRuns()
{
gROOT->Reset();
gROOT->ProcessLine(".x rootlogonChristof.C");
gROOT->ForceStyle();
gStyle->SetPalette(1);
gStyle->SetTitleYOffset(1.30);
gStyle->SetPadRightMargin(0.16);
bool doSave = true;
TFile * f_output = new TFile("CombineSpectra_minbias_NoOLDAlignmentRuns.root","recreate");
// Define the input file and HiForest
char *infName_1 = "root://eoscms//eos/cms/store/group/phys_heavyions/kjung/MinBiasUPCForest_v71/MergedForest_withCones_MinBiasUPC_v71_1.root";
char *infName_2 = "root://eoscms//eos/cms/store/group/phys_heavyions/kjung/MinBiasUPCForest_v71/MergedForest_withCones_MinBiasUPC_v71_2.root";
HiForest *c_minbias_1 = new HiForest(infName_1,"",cPPb);
HiForest *c_minbias_2 = new HiForest(infName_2,"",cPPb);
// c_minbias_1->doTrackCorrections=1;
// c_minbias_1->InitTree();
std::vector<Double_t> ptBins;
const Double_t small = 1e-3;
Double_t pt;
for(pt = 0. ; pt < 48.-small; pt += 2./2.) ptBins.push_back(pt);
for(pt = 48.; pt < 60.-small; pt += 4./2. ) ptBins.push_back(pt);
for(pt = 60.; pt < 76.-small; pt += 8./2. ) ptBins.push_back(pt);
for(pt = 76.; pt < 140.-small; pt += 16./2. ) ptBins.push_back(pt);
for(pt = 140.; pt < 364.-small; pt += 32./2. ) ptBins.push_back(pt);
ptBins.push_back(364.0);
std::vector<Double_t> ptBins_smaller;
Double_t pt_smaller;
for(pt_smaller = 0.2; pt_smaller < 20.0-small; pt_smaller += 0.1 ) ptBins_smaller.push_back(pt_smaller);
for(pt_smaller = 20.0; pt_smaller < 40.0-small; pt_smaller += 0.2 ) ptBins_smaller.push_back(pt_smaller);
for(pt_smaller = 40.0; pt_smaller < 103.6-small; pt_smaller += 0.4 ) ptBins_smaller.push_back(pt_smaller);
ptBins_smaller.push_back(103.6);
/*
std::vector<Double_t> ptBins_part;
Double_t pt_part;
for(pt_part = 0.2 ; pt_part < 1.2-small; pt_part += 0.05) ptBins_part.push_back(pt_part);
for(pt_part = 1.2; pt_part < 2.4-small; pt_part += 0.1 ) ptBins_part.push_back(pt_part); //12 bins
for(pt_part = 2.4; pt_part < 7.2-small; pt_part += 0.4 ) ptBins_part.push_back(pt_part); //12 bins
for(pt_part = 7.2; pt_part < 16.8-small; pt_part += 1.6 ) ptBins_part.push_back(pt_part);//it was 3.2
for(pt_part = 16.8; pt_part < 30.0-small; pt_part += 6.6 ) ptBins_part.push_back(pt_part);
for(pt_part = 30.0; pt_part < 100.0-small; pt_part += 17.5 ) ptBins_part.push_back(pt_part);
for(pt_part = 100.0; pt_part < 300.0-small; pt_part += 25. ) ptBins_part.push_back(pt_part);
ptBins_part.push_back(300.0);
*/
//orig
// Int_t NumOfPtBins_part = 34;
// double ptBins_part[] = {0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4, 3.2, 4.0, 4.8, 5.6, 6.4, 7.2, 9.6, 12.0, 14.4, 19.2, 24.0, 28.8, 35.2, 41.6, 48.0, 60.8, 73.6, 86.4, 103.6};//, 120.8, 138., 155.2, 172.4};
Int_t NumOfPtBins_part = 40;
double ptBins_part[] = {0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4, 3.2, 4.0, 4.8, 5.6, 6.4, 7.2, 9.6, 12.0, 14.4, 19.2, 24.0, 28.8, 35.2, 41.6, 48.0, 60.8, 73.6, 86.4, 103.6, 120.8, 138., 155.2, 172.4, 189.6, 206.8};
TTree * t = new TTree("t","whatever");
JetData data(t,1);
TH1D * hPartPt_minbias = new TH1D("hPartPt_minbias","hPartPt_minbias",NumOfPtBins_part-1,&ptBins_part[0]);
TH1D * hPartPt_minbias_trkCorr = new TH1D("hPartPt_minbias_trkCorr","hPartPt_minbias_trkCorr",NumOfPtBins_part-1,&ptBins_part[0]);
TH1D * hPartPt_minbias_trkCorr_trigCorr = new TH1D("hPartPt_minbias_trkCorr_trigCorr","hPartPt_minbias_trkCorr_trigCorr",NumOfPtBins_part-1,&ptBins_part[0]);
TH1D * hPartPt_minbias_trkCorr_trigCorr_smallerBins = new TH1D("hPartPt_minbias_trkCorr_trigCorr_smallerBins","hPartPt_minbias_trkCorr_trigCorr_smallerBins",ptBins_smaller.size()-1,&ptBins_smaller[0]);
TH1D * hPartPt_0_14_minbias = new TH1D("hPartPt_0_14_minbias","hPartPt_0_14_minbias",NumOfPtBins_part-1,&ptBins_part[0]);
TH1D * hPartPt_0_14_minbias_trkCorr = new TH1D("hPartPt_0_14_minbias_trkCorr","hPartPt_0_14_minbias_trkCorr",NumOfPtBins_part-1,&ptBins_part[0]);
TH1D * hPartPt_0_14_minbias_trkCorr_trigCorr = new TH1D("hPartPt_0_14_minbias_trkCorr_trigCorr","hPartPt_0_14_minbias_trkCorr_trigCorr",NumOfPtBins_part-1,&ptBins_part[0]);
TH1D * hNumEv_minbias = new TH1D("hNumEv_minbias","hNumEv_minbias",1,0.,1.);
TH1D * hNumEv_minbias_trigCorr = new TH1D("hNumEv_minbias_trigCorr","hNumEv_minbias_trigCorr",1,0.,1.);
TH1D * hNumEv_0_14_minbias = new TH1D("hNumEv_0_14_minbias","hNumEv_0_14_minbias",1,0.,1.);
TH1D * hNumEv_0_14_minbias_trigCorr = new TH1D("hNumEv_0_14_minbias_trigCorr","hNumEv_0_14_minbias_trigCorr",1,0.,1.);
TH1D * hNumEv_14_22_minbias = new TH1D("hNumEv_14_22_minbias","hNumEv_14_22_minbias",1,0.,1.);
TH1D * hNumEv_14_22_minbias_trigCorr = new TH1D("hNumEv_14_22_minbias_trigCorr","hNumEv_14_22_minbias_trigCorr",1,0.,1.);
TH1D * hNumEv_22_32_minbias = new TH1D("hNumEv_22_32_minbias","hNumEv_22_32_minbias",1,0.,1.);
TH1D * hNumEv_22_32_minbias_trigCorr = new TH1D("hNumEv_22_32_minbias_trigCorr","hNumEv_22_32_minbias_trigCorr",1,0.,1.);
TH1D * hNumEv_32_X_minbias = new TH1D("hNumEv_32_X_minbias","hNumEv_32_X_minbias",1,0.,1.);
TH1D * hRecMultiplicity = new TH1D("hRecMultiplicity","hRecMultiplicity",300.,0.,300.);
hPartPt_minbias->Sumw2();
hPartPt_minbias_trkCorr->Sumw2();
hPartPt_minbias_trkCorr_trigCorr->Sumw2();
hPartPt_minbias_trkCorr_trigCorr_smallerBins->Sumw2();
hPartPt_0_14_minbias->Sumw2();
hPartPt_0_14_minbias_trkCorr->Sumw2();
hPartPt_0_14_minbias_trkCorr_trigCorr->Sumw2();
hRecMultiplicity->Sumw2();
int numev_minbias = 0;
float numev_minbias_trigCorr = 0;
int numev_0_14_minbias = 0;
float numev_0_14_minbias_trigCorr = 0;
int numev_14_22_minbias = 0;
float numev_14_22_minbias_trigCorr = 0;
int numev_22_32_minbias = 0;
float numev_22_32_minbias_trigCorr = 0;
int numev_32_X_minbias = 0;
fillHistograms(c_minbias_1, data, numev_minbias, numev_minbias_trigCorr, numev_0_14_minbias, numev_0_14_minbias_trigCorr, numev_14_22_minbias, numev_14_22_minbias_trigCorr, numev_22_32_minbias, numev_22_32_minbias_trigCorr, numev_32_X_minbias, hPartPt_minbias, hPartPt_minbias_trkCorr, hPartPt_minbias_trkCorr_trigCorr, hPartPt_minbias_trkCorr_trigCorr_smallerBins, hPartPt_0_14_minbias, hPartPt_0_14_minbias_trkCorr, hPartPt_0_14_minbias_trkCorr_trigCorr,hRecMultiplicity);
fillHistograms(c_minbias_2, data, numev_minbias, numev_minbias_trigCorr, numev_0_14_minbias, numev_0_14_minbias_trigCorr, numev_14_22_minbias, numev_14_22_minbias_trigCorr, numev_22_32_minbias, numev_22_32_minbias_trigCorr, numev_32_X_minbias, hPartPt_minbias, hPartPt_minbias_trkCorr, hPartPt_minbias_trkCorr_trigCorr, hPartPt_minbias_trkCorr_trigCorr_smallerBins, hPartPt_0_14_minbias, hPartPt_0_14_minbias_trkCorr, hPartPt_0_14_minbias_trkCorr_trigCorr,hRecMultiplicity);
hNumEv_minbias->SetBinContent(1,numev_minbias);
hNumEv_minbias_trigCorr->SetBinContent(1,numev_minbias_trigCorr);
hNumEv_0_14_minbias->SetBinContent(1,numev_0_14_minbias);
hNumEv_0_14_minbias_trigCorr->SetBinContent(1,numev_0_14_minbias_trigCorr);
hNumEv_14_22_minbias->SetBinContent(1,numev_14_22_minbias);
hNumEv_14_22_minbias_trigCorr->SetBinContent(1,numev_14_22_minbias_trigCorr);
hNumEv_22_32_minbias->SetBinContent(1,numev_22_32_minbias);
hNumEv_22_32_minbias_trigCorr->SetBinContent(1,numev_22_32_minbias_trigCorr);
hNumEv_32_X_minbias->SetBinContent(1,numev_32_X_minbias);
normalizeByBinWidth(hPartPt_minbias);
normalizeByBinWidth(hPartPt_minbias_trkCorr);
normalizeByBinWidth(hPartPt_minbias_trkCorr_trigCorr);
normalizeByBinWidth(hPartPt_minbias_trkCorr_trigCorr_smallerBins);
normalizeByBinWidth(hPartPt_0_14_minbias);
normalizeByBinWidth(hPartPt_0_14_minbias_trkCorr);
normalizeByBinWidth(hPartPt_0_14_minbias_trkCorr_trigCorr);
f_output->cd();
hPartPt_minbias->Write();
hPartPt_minbias_trkCorr->Write();
hPartPt_minbias_trkCorr_trigCorr->Write();
hPartPt_minbias_trkCorr_trigCorr_smallerBins->Write();
hPartPt_0_14_minbias->Write();
hPartPt_0_14_minbias_trkCorr->Write();
hPartPt_0_14_minbias_trkCorr_trigCorr->Write();
hNumEv_minbias->Write();
hNumEv_minbias_trigCorr->Write();
hNumEv_0_14_minbias->Write();
hNumEv_0_14_minbias_trigCorr->Write();
hNumEv_14_22_minbias->Write();
hNumEv_14_22_minbias_trigCorr->Write();
hNumEv_22_32_minbias->Write();
hNumEv_22_32_minbias_trigCorr->Write();
hNumEv_32_X_minbias->Write();
hRecMultiplicity->Write();
f_output->Close();
}
void M2gChan( UInt_t chan = 250, UInt_t rebin = 1, TString tgt = "full")
{
UInt_t left, right, bin_lo, bin_hi, rebin;
Double_t eg, deg;
TString name;
gStyle->SetOptStat( 0);
if ( !gROOT->GetListOfCanvases()->IsEmpty()) {
delete c1;
}
TCanvas *c1 = new TCanvas ( "c1", "Subtraction", 200, 20, 700, 400);
c1->SetGrid();
c1->GetFrame()->SetFillColor( 21);
c1->GetFrame()->SetBorderSize( 12);
c1->Divide( 2, 1);
eg = tcd[chan].energy;
deg = tcd[chan].denergy;
name = Form( "Egamma = %5.1f +/- %3.1f MeV", eg, deg/2);
cout << name << endl;
left = 0;
right = 200;
// Prompt
name = "THR_M2gTaggP_v_TChanM2gP";
if ( tgt == "full") TH2D *hp2d = (TH2D*)full.Get( name);
else if ( tgt == "empty") TH2D *hp2d = (TH2D*)empty.Get( name);
bin_lo = hp2d->GetXaxis()->FindBin( chan);
bin_hi = hp2d->GetXaxis()->FindBin( chan);
hp2d->GetXaxis()->SetRange( bin_lo, bin_hi);
name = Form( "M2gP_r%d", rebin);
TH1D *hp = hp2d->ProjectionY( name);
hp->Rebin( rebin);
// Random
name = "THR_M2gTaggR_v_TChanM2gR";
if ( tgt == "full") TH2D *hr2d = (TH2D*)full.Get( name);
else if ( tgt == "empty") TH2D *hr2d = (TH2D*)empty.Get( name);
hr2d->GetXaxis()->SetRange( bin_lo, bin_hi);
name = Form( "M2gR_r%d", rebin);
TH1D *hr = hr2d->ProjectionY( name);
hr->Rebin( rebin);
c1->cd( 1);
// Prompt
hp->SetLineWidth( 3);
hp->SetLineColor( 4);
name = Form( "2#gamma Invariant Mass for E_{#gamma} = %5.1f #pm %3.1f MeV",
eg, deg/2);
hp->SetTitle( name);
hp->GetXaxis()->SetTitleOffset( 1.1);
hp->GetXaxis()->SetLabelSize( 0.03);
hp->GetXaxis()->CenterTitle();
hp->GetXaxis()->SetTitle( "M_{#gamma#gamma} (MeV)");
hp->GetXaxis()->SetRangeUser( left, right);
hp->DrawCopy();
// Random
hr->Scale( 0.5);
hr->SetLineWidth( 3);
hr->SetLineColor( 2);
hr->Draw( "same");
// Subtracted
hp->Sumw2();
hp->Add( hr, -1.0);
hp->SetMarkerStyle( 21);
hp->SetMarkerColor( 1);
hp->SetLineWidth( 3);
hp->SetLineColor( 1);
c1->cd(2);
hp->SetTitle();
hp->Draw( "E");
hp->GetXaxis()->SetRangeUser( left, right);
l = new TLine( left, 0, right, 0);
l->SetLineStyle( 2);
l->Draw();
}
void checkTrkInputs(
TString infrec="nt_djhp_HyUQ110v0_djcalo.root",
TString infgen="nt_djhp_HyUQ110v0_djcalo_genp.root",
TCut evtCut="cent<30")
{
//TH1::SetDefaultSumw2();
TChain * trec = new TChain("tjttrk");
trec->Add(infrec);
setupAlias(trec);
TChain * tgen = new TChain("tjttrk");
tgen->Add(infgen);
cout << infrec << " cut " << TString(evtCut) << ": " << trec->GetEntries() << endl;
cout << infgen << " cut " << TString(evtCut) << ": " << tgen->GetEntries() << endl;
// Correction Histograms
TFile * fTrkCorr = new TFile("djtrkhist_hydjetBassv2_djuq110.root");
TString corrModule = "hitrkEffAnalyzer";
TH2F * hrec = (TH2F*)fTrkCorr->Get(Form("%s/hrec",corrModule.Data()));
TH1D * hrec_pt = (TH1D*)hrec->ProjectionY();
TH2F * hsim = (TH2F*)fTrkCorr->Get(Form("%s/hsim",corrModule.Data()));
TH1D * hsim_pt = (TH1D*)hsim->ProjectionY();
// Frag Histograms
//TH1D * hPPtRecRaw = new TH1D("hPPtRecRaw",";p_{T} (GeV/c); count;");
TH1D * hPPtRecRaw = (TH1D*)hrec_pt->Clone("hPPtRecRaw");
hPPtRecRaw->Reset();
TH1D * hPPtGen = (TH1D*)hrec_pt->Clone("hPPtGen");
hPPtGen->Reset();
trec->Project("hPPtRecRaw","ppt","");
tgen->Project("hPPtGen","ppt","");
TH1D * hRecSimRat_pt = (TH1D*)hrec_pt->Clone("hRecSimRat_pt");
hRecSimRat_pt->Sumw2();
hRecSimRat_pt->Divide(hrec_pt,hsim_pt);
TH1D * hPPtRat = (TH1D*)hrec_pt->Clone("hPPtRat");
hPPtRat->Sumw2();
hPPtRat->Divide(hPPtRecRaw,hPPtGen);
// Normalize
normHist(hsim_pt,0,true,1);
normHist(hrec_pt,0,true,1);
normHist(hPPtGen,0,true,1);
normHist(hPPtRecRaw,0,true,1);
// Plot
hsim_pt->SetAxisRange(0,100,"X");
hsim_pt->SetTitle(";p_{T} (GeV/c); count");
hRecSimRat_pt->SetTitle(";p_{T} (GeV/c); reco/gen ratio");
hsim_pt->SetLineColor(kRed);
hPPtGen->SetMarkerColor(kRed);
hPPtGen->SetLineColor(kRed);
hRecSimRat_pt->SetAxisRange(0,100,"X");
hRecSimRat_pt->SetAxisRange(-0.2,1.2,"Y");
hRecSimRat_pt->SetLineColor(kRed);
TCanvas *cRec = new TCanvas("cRec","Rec",500,900);
cRec->Divide(1,2);
cRec->cd(1);
cRec->GetPad(1)->SetLogy();
hsim_pt->Draw("hist");
hPPtGen->Draw("sameE");
hrec_pt->Draw("hist same");
hPPtRecRaw->Draw("sameE");
cRec->cd(2);
hRecSimRat_pt->Draw("hist");
hPPtRat->Draw("sameE");
// ====================
TLegend *leg = new TLegend(0.61,0.78,0.91,0.91);
leg->SetFillStyle(0);
leg->SetBorderSize(0);
leg->SetTextSize(0.035);
}
// File: ST_Monitoring_Efficiency.C // Last Modified: 05/27/2015 // Creator: Mahmoud Kamel [email protected] // Purpose: Displaying histograms for online monitoring purposes void ST_Monitoring_Eff () { // Define the directory that contains the histograms TDirectory *dir = (TDirectory*)gDirectory->FindObjectAny("st_tracking"); if(dir) dir->cd(); // Grab 1D histograms TH1D *MacropEff = (TH1D*)dir->FindObjectAny("MacropEff"); TH1D *MacropEff_adc = (TH1D*)dir->FindObjectAny("MacropEff_adc"); TH1D *h_phi_sec_pred_hit_cntr = (TH1D*)dir->FindObjectAny("h_phi_sec_pred_hit_cntr"); TH1D *h_phi_sec_hit_cntr = (TH1D*)dir->FindObjectAny("h_phi_sec_hit_cntr"); TH1D *h_phi_sec_adc_cntr = (TH1D*)dir->FindObjectAny("h_phi_sec_adc_cntr"); // get Binomial errors in an efficiency plot // hit object efficiency h_phi_sec_hit_cntr->Sumw2(); h_phi_sec_pred_hit_cntr->Sumw2(); MacropEff->Sumw2(); MacropEff->Divide(h_phi_sec_hit_cntr,h_phi_sec_pred_hit_cntr,1,1,"B"); // adc efficiency h_phi_sec_adc_cntr->Sumw2(); MacropEff_adc->Sumw2(); MacropEff_adc->Divide(h_phi_sec_adc_cntr,h_phi_sec_pred_hit_cntr,1,1,"B"); //Create the canvas if(gPad == NULL) { TCanvas *c1 = new TCanvas("c1","Start Counter 1D Histograms", 200, 10, 600, 480); c1->cd(0); c1->Draw(); c1->Update(); } if(!gPad) return; TCanvas *c1 = gPad->GetCanvas(); c1->Divide(2,1); // ST ADC Efficiency histogram c1->cd(1); gStyle->SetOptStat(0); gStyle->SetErrorX(0); gPad->SetTicks(); gPad->SetGrid(); if (MacropEff_adc) { MacropEff_adc->Draw("E1"); MacropEff_adc->SetMarkerStyle(21); MacropEff_adc->SetMarkerSize(1.5); MacropEff_adc->SetMarkerColor(4.0); MacropEff_adc->SetAxisRange(0., 1.,"Y"); MacropEff_adc->GetYaxis()->SetTitleOffset(1.26); Double_t TWA_adc=0; Double_t sumE_adc=0; Double_t Final_adc=0; Double_t error_adc=0.; Double_t BC_adc=0.; Double_t WA_adc=0.; //Double_t Final_adc=0.; for (int i = 0; i < 30; i++) { error_adc = MacropEff_adc->GetBinError(i+2); sumE_adc = sumE_adc + error_adc; BC_adc = MacropEff_adc->GetBinContent(i+2); WA_adc = BC_adc*error_adc; TWA_adc = TWA_adc + WA_adc ; Final_adc = TWA_adc/sumE_adc; // cout << "error_adc = "<< error_adc << endl; // cout << "BC_adc = "<< BC_adc << endl; // cout << "Final_adc = "<< Final_adc << endl; } TLine *line = new TLine(1,Final_adc,30,Final_adc); line->SetLineWidth(3); line->SetLineColor(2); //Write the eff value on the histogram char tFinal_adc[40]; char terror_adc[40]; sprintf(tFinal_adc,"ADC Efficiency (%%) = %g",Final_adc*100); sprintf(terror_adc,"ADC Efficiency error (%%) = %g",error_adc*100); line->Draw(); TPaveLabel *p = new TPaveLabel(0.3,0.6,0.7,0.7,tFinal_adc,"brNDC"); p->Draw(); TPaveLabel *p1 = new TPaveLabel(0.3,0.5,0.7,0.6,terror_adc,"brNDC"); p1->Draw(); } // ST Hit Efficiency histogram c1->cd(2); gPad->SetTicks(); gPad->SetGrid(); if (MacropEff) { MacropEff->Draw("E1"); MacropEff->SetMarkerStyle(21); MacropEff->SetMarkerSize(1.5); MacropEff->SetMarkerColor(4.0); MacropEff->SetAxisRange(0., 1.,"Y"); MacropEff->GetYaxis()->SetTitleOffset(1.26); Double_t TWA=0; Double_t sumE=0; Double_t Final=0; Double_t error=0.; Double_t BC=0.; Double_t WA=0.; //Double_t Final=0.; for (int i = 0; i < 30; i++) { error = MacropEff->GetBinError(i+2); sumE = sumE+error; BC = MacropEff->GetBinContent(i+2); WA = BC*error; TWA = TWA + WA ; Final = TWA/sumE; // cout << "error = "<< error << endl; // cout << "BC = "<< BC << endl; // cout << "Final = "<< Final << endl; } TLine *line = new TLine(1,Final,30,Final); line->SetLineWidth(3); line->SetLineColor(2); //Write the eff value on the histogram char tFinal[40]; char terror[40]; sprintf(tFinal,"Hit Efficiency (%%) = %g",Final*100); sprintf(terror,"Hit Efficiency error (%%) = %g",error*100); line->Draw(); TPaveLabel *p = new TPaveLabel(0.3,0.6,0.7,0.7,tFinal,"brNDC"); p->Draw(); TPaveLabel *p1 = new TPaveLabel(0.3,0.5,0.7,0.6,terror,"brNDC"); p1->Draw(); } }
