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 drawCtauPlot(RooWorkspace& myws, // Local workspace
string outputDir, // Output directory
struct InputOpt opt, // Variable with run information (kept for legacy purpose)
struct KinCuts cut, // Variable with current kinematic cuts
string plotLabel, // The label used to define the output file name
// Select the type of datasets to fit
string DSTAG, // Specifies the type of datasets: i.e, DATA, MCJPSINP, ...
bool isPbPb, // Define if it is PbPb (True) or PP (False)
// Select the drawing options
bool setLogScale, // Draw plot with log scale
bool incSS, // Include Same Sign data
int nBins, // Number of bins used for plotting
bool paperStyle=false,// if true, print less info
bool saveWS=true // save the workspace into a file
)
{
if (DSTAG.find("_")!=std::string::npos) DSTAG.erase(DSTAG.find("_"));
string dsOSName = Form("dOS_%s_%s", DSTAG.c_str(), (isPbPb?"PbPb":"PP"));
string dsSSName = Form("dSS_%s_%s", DSTAG.c_str(), (isPbPb?"PbPb":"PP"));
// Create the main plot of the fit
// RooPlot* frame = myws.var("invMass")->frame(Bins(nBins), Range(cut.dMuon.M.Min, cut.dMuon.M.Max));
RooPlot* frame = myws.var("ctau")->frame(Bins(nBins), Range(-1,3));
myws.data(dsOSName.c_str())->plotOn(frame, Name("dOS"), DataError(RooAbsData::SumW2), XErrorSize(0), MarkerColor(kBlack), LineColor(kBlack), MarkerSize(1.2));
if (paperStyle) TGaxis::SetMaxDigits(3); // to display powers of 10
if (incSS) {
myws.data(dsSSName.c_str())->plotOn(frame, Name("dSS"), MarkerColor(kRed), LineColor(kRed), MarkerSize(1.2));
}
myws.data(dsOSName.c_str())->plotOn(frame, Name("dOS"), DataError(RooAbsData::SumW2), XErrorSize(0), MarkerColor(kBlack), LineColor(kBlack), MarkerSize(1.2));
// set the CMS style
setTDRStyle();
// Create the main canvas
TCanvas *cFig = new TCanvas(Form("cMassFig_%s", (isPbPb?"PbPb":"PP")), "cMassFig",800,800);
TPad *pad1 = new TPad(Form("pad1_%s", (isPbPb?"PbPb":"PP")),"",0,paperStyle ? 0 : 0.23,1,1);
TPad *pad2 = new TPad(Form("pad2_%s", (isPbPb?"PbPb":"PP")),"",0,0,1,.228);
TLine *pline = new TLine(cut.dMuon.M.Min, 0.0, cut.dMuon.M.Max, 0.0);
// TPad *pad4 = new TPad("pad4","This is pad4",0.55,0.46,0.97,0.87);
TPad *pad4 = new TPad("pad4","This is pad4",0.55,paperStyle ? 0.29 : 0.36,0.97,paperStyle ? 0.70 : 0.77);
pad4->SetFillStyle(0);
pad4->SetLeftMargin(0.28);
pad4->SetRightMargin(0.10);
pad4->SetBottomMargin(0.21);
pad4->SetTopMargin(0.072);
frame->SetTitle("");
frame->GetXaxis()->CenterTitle(kTRUE);
if (!paperStyle) {
frame->GetXaxis()->SetTitle("");
frame->GetXaxis()->SetTitleSize(0.045);
frame->GetXaxis()->SetTitleFont(42);
frame->GetXaxis()->SetTitleOffset(3);
frame->GetXaxis()->SetLabelOffset(3);
frame->GetYaxis()->SetLabelSize(0.04);
frame->GetYaxis()->SetTitleSize(0.04);
frame->GetYaxis()->SetTitleOffset(1.7);
frame->GetYaxis()->SetTitleFont(42);
} else {
frame->GetXaxis()->SetTitle("#font[12]{l}_{J/#psi} (mm)");
frame->GetXaxis()->SetTitleOffset(1.1);
frame->GetYaxis()->SetTitleOffset(1.45);
frame->GetXaxis()->SetTitleSize(0.05);
frame->GetYaxis()->SetTitleSize(0.05);
}
setRange(myws, frame, dsOSName, setLogScale, cut.dMuon.AbsRap.Min);
if (paperStyle) {
double Ydown = 0.1;//frame->GetMinimum();
double Yup = 0.9*frame->GetMaximum();
frame->GetYaxis()->SetRangeUser(Ydown,Yup);
}
cFig->cd();
pad2->SetTopMargin(0.02);
pad2->SetBottomMargin(0.4);
pad2->SetFillStyle(4000);
pad2->SetFrameFillStyle(4000);
if (!paperStyle) pad1->SetBottomMargin(0.015);
//plot fit
pad1->Draw();
pad1->cd();
frame->Draw();
pad1->SetLogy(setLogScale);
// Drawing the text in the plot
TLatex *t = new TLatex(); t->SetNDC(); t->SetTextSize(0.032);
float dy = 0;
t->SetTextSize(0.03);
if (!paperStyle) { // do not print selection details for paper style
t->DrawLatex(0.21, 0.86-dy, "2015 HI Soft Muon ID"); dy+=0.045;
if (isPbPb) {
t->DrawLatex(0.21, 0.86-dy, "HLT_HIL1DoubleMu0_v1"); dy+=0.045;
} else {
t->DrawLatex(0.21, 0.86-dy, "HLT_HIL1DoubleMu0_v1"); dy+=0.045;
}
}
if (cut.dMuon.AbsRap.Min>0.1) {t->DrawLatex(0.20, 0.86-dy, Form("%.1f < |y^{#mu#mu}| < %.1f",cut.dMuon.AbsRap.Min,cut.dMuon.AbsRap.Max)); dy+=1.5*0.045;}
else {t->DrawLatex(0.20, 0.86-dy, Form("|y^{#mu#mu}| < %.1f",cut.dMuon.AbsRap.Max)); dy+=1.5*0.045;}
t->DrawLatex(0.20, 0.86-dy, Form("%g < p_{T}^{#mu#mu} < %g GeV/c",cut.dMuon.Pt.Min,cut.dMuon.Pt.Max)); dy+=0.045;
t->DrawLatex(0.20, 0.86-dy, Form("%g < M^{#mu#mu} < %g GeV/c^{2}",cut.dMuon.M.Min,cut.dMuon.M.Max)); dy+=0.045;
if (isPbPb) {t->DrawLatex(0.20, 0.86-dy, Form("Cent. %d-%d%%", (int)(cut.Centrality.Start/2), (int)(cut.Centrality.End/2))); dy+=0.045;}
dy+=0.5*0.045; t->DrawLatex(0.20, 0.86-dy, "#mu in acceptance"); dy+=0.045;
// Drawing the Legend
double ymin = 0.7802;
if (paperStyle) { ymin = 0.72; }
TLegend* leg = new TLegend(0.5175, ymin, 0.7180, 0.8809); leg->SetTextSize(0.03);
leg->AddEntry(frame->findObject("dOS"), (incSS?"Opposite Charge":"Data"),"pe");
if (incSS) { leg->AddEntry(frame->findObject("dSS"),"Same Charge","pe"); }
leg->Draw("same");
//Drawing the title
TString label;
if (isPbPb) {
if (opt.PbPb.RunNb.Start==opt.PbPb.RunNb.End){
label = Form("PbPb Run %d", opt.PbPb.RunNb.Start);
} else {
label = Form("%s [%s %d-%d]", "PbPb", "HIOniaL1DoubleMu0", opt.PbPb.RunNb.Start, opt.PbPb.RunNb.End);
}
} else {
if (opt.pp.RunNb.Start==opt.pp.RunNb.End){
label = Form("PP Run %d", opt.pp.RunNb.Start);
} else {
label = Form("%s [%s %d-%d]", "PP", "DoubleMu0", opt.pp.RunNb.Start, opt.pp.RunNb.End);
}
}
// CMS_lumi(pad1, isPbPb ? 105 : 104, 33, label);
CMS_lumi(pad1, isPbPb ? 108 : 107, 33, "");
if (!paperStyle) gStyle->SetTitleFontSize(0.05);
pad1->Update();
cFig->cd();
// Save the plot in different formats
gSystem->mkdir(Form("%splot/%s/root/", outputDir.c_str(), DSTAG.c_str()), kTRUE);
cFig->SaveAs(Form("%splot/%s/root/%s_%s_%s%s_pt%.0f%.0f_rap%.0f%.0f_cent%d%d.root", outputDir.c_str(), DSTAG.c_str(), DSTAG.c_str(), "Psi2SJpsi", (isPbPb?"PbPb":"PP"), plotLabel.c_str(), (cut.dMuon.Pt.Min*10.0), (cut.dMuon.Pt.Max*10.0), (cut.dMuon.AbsRap.Min*10.0), (cut.dMuon.AbsRap.Max*10.0), cut.Centrality.Start, cut.Centrality.End));
gSystem->mkdir(Form("%splot/%s/png/", outputDir.c_str(), DSTAG.c_str()), kTRUE);
cFig->SaveAs(Form("%splot/%s/png/%s_%s_%s%s_pt%.0f%.0f_rap%.0f%.0f_cent%d%d.png", outputDir.c_str(), DSTAG.c_str(), DSTAG.c_str(), "Psi2SJpsi", (isPbPb?"PbPb":"PP"), plotLabel.c_str(), (cut.dMuon.Pt.Min*10.0), (cut.dMuon.Pt.Max*10.0), (cut.dMuon.AbsRap.Min*10.0), (cut.dMuon.AbsRap.Max*10.0), cut.Centrality.Start, cut.Centrality.End));
gSystem->mkdir(Form("%splot/%s/pdf/", outputDir.c_str(), DSTAG.c_str()), kTRUE);
cFig->SaveAs(Form("%splot/%s/pdf/%s_%s_%s%s_pt%.0f%.0f_rap%.0f%.0f_cent%d%d.pdf", outputDir.c_str(), DSTAG.c_str(), DSTAG.c_str(), "Psi2SJpsi", (isPbPb?"PbPb":"PP"), plotLabel.c_str(), (cut.dMuon.Pt.Min*10.0), (cut.dMuon.Pt.Max*10.0), (cut.dMuon.AbsRap.Min*10.0), (cut.dMuon.AbsRap.Max*10.0), cut.Centrality.Start, cut.Centrality.End));
cFig->Clear();
cFig->Close();
// Save the workspace
if (saveWS) {
gSystem->mkdir(Form("%sresult/%s/", outputDir.c_str(), DSTAG.c_str()), kTRUE);
TFile *file = NULL;
file = new TFile(Form("%sresult/%s/FIT_%s_%s_%s%s_pt%.0f%.0f_rap%.0f%.0f_cent%d%d.root", outputDir.c_str(), DSTAG.c_str(), DSTAG.c_str(), "Psi2SJpsi", (isPbPb?"PbPb":"PP"), plotLabel.c_str(), (cut.dMuon.Pt.Min*10.0), (cut.dMuon.Pt.Max*10.0), (cut.dMuon.AbsRap.Min*10.0), (cut.dMuon.AbsRap.Max*10.0), cut.Centrality.Start, cut.Centrality.End), "RECREATE");
if (!file) {
cout << "[ERROR] Output root file with fit results could not be created!" << endl;
} else {
file->cd();
myws.Write("workspace");
file->Write(); file->Close(); delete file;
}
}
}
void fitEfficiency(float thres,
float mLow=45, float mHigh=70,
TString cutdef="pt_HLT>=20", TString cut_choice="HLT",
TString dirIn="/data_CMS/cms/ndaci/ndaci_2012/HTauTau/TriggerStudy/SingleMu/MuMu/Run2012A_PRV1/Pairs/",
TString dirResults="/home//llr/cms/ndaci/SKWork/macro/HTauTau/results/TriggerStudies/MuMu/Run2012A_PRV1/",
TString lumi="200 pb", int nCPU=4,
int color1=kBlack, int style1=kFullCircle, int color2=kRed, int style2=kOpenSquare,
TString fileIn="*.root", TString image="eff_HLT_MuTau")
{
// STYLE //
gROOT->Reset();
loadPresentationStyle();
gROOT->ForceStyle();
// OUTPUT //
TString name_image = dirResults+"/"+image;
ofstream fichier(name_image+".txt", ios::out);
// BINNING //
const int nbinsEB = 14;
Double_t binsEB[nbinsEB] = {10., 14., 18., 20., 22., 26., 30., 40., 50., 60., 70., 80, 90, 100};
RooBinning binningEB = RooBinning(nbinsEB-1, binsEB, "binningEB");
const int nbinsEE = 14;
Double_t binsEE[nbinsEE] = {10., 14., 18., 20., 22., 26., 30., 40., 50., 60., 70., 80, 90, 100};
RooBinning binningEE = RooBinning(nbinsEE-1, binsEE, "binningEE");
// EB/EE eta cuts //
TString etacutEB="eta>-1.479 && eta<1.479", etacutEE="eta<=-1.479 || eta>=1.479";
TString cutdefEB, cutdefEE;
if(cutdef=="") {
cutdefEB=etacutEB;
cutdefEE=etacutEE;
}
else {
cutdefEB=cutdef+" && "+etacutEB ;
cutdefEB=cutdef+" && "+etacutEE ;
}
// INPUT DATA //
TChain* treeTnP = new TChain("treeTnP");
treeTnP->Add(dirIn+"/"+fileIn);
RooRealVar xaxis("pt","P_{T} [GeV]",0,150) ;
RooRealVar mass("mass","mass",mLow,mHigh) ;// consider only this mass range when importing data
RooRealVar eta("eta","eta",-3., 3) ;
RooRealVar weight("weight","weight",-1,1000) ;
RooRealVar pt_HLT_tag("pt_HLT_tag","P_{T} [GeV]",0,150) ;
RooRealVar pt_HLT_tag_sanity("pt_HLT_tag_sanity","P_{T} [GeV]",0,150) ;
RooRealVar pt_L3("pt_L3","P_{T} [GeV]",0,150) ;
RooRealVar pt_L25("pt_L25","P_{T} [GeV]",0,150) ;
RooRealVar pt_L2("pt_L2","P_{T} [GeV]",0,150) ;
RooRealVar et_L1jet("et_L1_jet","P_{T} [GeV]",0,150) ;
RooRealVar et_L1tau("et_L1_tau","P_{T} [GeV]",0,150) ;
// DEFINE EFFICIENCY CUT //
RooCategory cutHLT("match","") ;
cutHLT.defineType("accept",1) ;
cutHLT.defineType("reject",0) ;
RooCategory cutL1("L1match","") ;
cutL1.defineType("accept",1) ;
cutL1.defineType("reject",0) ;
RooCategory cutL1L2("L1L2match","") ;
cutL1L2.defineType("accept",1) ;
cutL1L2.defineType("reject",0) ;
RooCategory cutL1L2L25("L1L2L25match","") ;
cutL1L2L25.defineType("accept",1) ;
cutL1L2L25.defineType("reject",0) ;
RooCategory cutL1L2L25L3("L1L2L25L3match","") ;
cutL1L2L25L3.defineType("accept",1) ;
cutL1L2L25L3.defineType("reject",0) ;
RooCategory *cut;
if(cut_choice=="HLT") cut = &cutHLT;
if(cut_choice=="L1") cut = &cutL1;
if(cut_choice=="L1L2") cut = &cutL1L2;
if(cut_choice=="L1L2L25") cut = &cutL1L2L25;
if(cut_choice=="L1L2L25L3") cut = &cutL1L2L25L3;
RooDataSet dataSetEB("data","data from tree",
RooArgSet(xaxis, *cut,
pt_HLT_tag, pt_L3, pt_L25, pt_L2,
mass, weight, eta),
WeightVar(weight), Import(*treeTnP), Cut(cutdefEB) );
RooDataSet dataSetEE("data","data from tree",
RooArgSet(xaxis, *cut,
pt_HLT_tag, pt_L3, pt_L25, pt_L2,
mass, weight, eta),
WeightVar(weight), Import(*treeTnP), Cut(cutdefEE) );
dataSetEB.Print();
dataSetEE.Print();
// PLOT //
RooPlot* frame = xaxis.frame(Bins(18000),Title("Fitted efficiency")) ;
dataSetEB.plotOn(frame, Binning(binningEB), Efficiency(*cut), MarkerColor(color1), LineColor(color1), MarkerStyle(style1) );
dataSetEE.plotOn(frame, Binning(binningEE), Efficiency(*cut), MarkerColor(color2), LineColor(color2), MarkerStyle(style2) );
// PARAMETRES ROOFIT CRYSTAL BALL //
RooRealVar norm("norm","N",0.95,0.6,1);
RooRealVar alpha("alpha","#alpha",0.2,0.01,8);
RooRealVar n("n","n",2,1.1,35);
RooRealVar mean("mean","mean",10,5,30);
mean.setVal(thres);
RooRealVar sigma("sigma","#sigma",0.23,0.01,5);
RooRealVar pedestal("pedestal","pedestal",0.01,0,0.4);
FuncCB cb_EB("cb_EB","Fit function EB (cb)",xaxis,mean,sigma,alpha,n,norm) ;
FuncCB cb_EE("cb_EE","Fit function EE (cb)",xaxis,mean,sigma,alpha,n,norm) ;
RooEfficiency eff_EB("eff_EB","efficiency EB", cb_EB, *cut, "accept");
RooEfficiency eff_EE("eff_EE","efficiency EE", cb_EE, *cut, "accept");
// FIT //
double fit_cuts_min = thres-1.5 ;
double fit_cuts_max = 150;
xaxis.setRange("interesting",fit_cuts_min,fit_cuts_max);
fichier << "Fit characteristics :" << endl
<< "Threshold : " << thres << endl
<< "Fit Range : [" << fit_cuts_min << "," << fit_cuts_max << "]" << endl
<< endl << endl;
RooFitResult* roofitres_EB = new RooFitResult("roofitres_EB","roofitres_EB");
RooFitResult* roofitres_EE = new RooFitResult("roofitres_EE","roofitres_EE");
// Fit #1 //
roofitres_EB = eff_EB.fitTo(dataSetEB,ConditionalObservables(xaxis),Range("interesting"),Minos(kTRUE),Warnings(kFALSE),NumCPU(nCPU),Save(kTRUE),SumW2Error(kTRUE));
cb_EB.plotOn(frame,LineColor(color1),LineWidth(2));
fichier << "<----------------- EB ----------------->" << endl
<< "double res_mean=" << mean.getVal() << "; "
<< "double res_sigma=" << sigma.getVal() << "; "
<< "double res_alpha=" << alpha.getVal() << "; "
<< "double res_n=" << n.getVal() << "; "
<< "double res_norm=" << norm.getVal() << "; "
<< endl
<< "double err_mean=" << mean.getError() << "; "
<< "double err_sigma=" << sigma.getError() << "; "
<< "double err_alpha=" << alpha.getError() << "; "
<< "double err_n=" << n.getError() << "; "
<< "double err_norm=" << norm.getErrorLo()<< "; "
<< endl;
// Fit #2 //
roofitres_EE = eff_EE.fitTo(dataSetEE,ConditionalObservables(xaxis),Range("interesting"),Minos(kTRUE),Warnings(kFALSE),NumCPU(nCPU),Save(kTRUE),SumW2Error(kTRUE));
cb_EE.plotOn(frame,LineColor(color2),LineWidth(2));
fichier << "<----------------- EE ----------------->" << endl
<< "double res_mean=" << mean.getVal() << "; "
<< "double res_sigma=" << sigma.getVal() << "; "
<< "double res_alpha=" << alpha.getVal() << "; "
<< "double res_n=" << n.getVal() << "; "
<< "double res_norm=" << norm.getVal() << "; "
<< endl
<< "double err_mean=" << mean.getError() << "; "
<< "double err_sigma=" << sigma.getError() << "; "
<< "double err_alpha=" << alpha.getError() << "; "
<< "double err_n=" << n.getError() << "; "
<< "double err_norm=" << norm.getErrorLo()<< "; "
<< endl;
//////////////////////////// DRAWING PLOTS AND LEGENDS /////////////////////////////////
TCanvas* ca = new TCanvas("ca","Trigger Efficiency") ;
ca->SetGridx();
ca->SetGridy();
ca->cd();
//gPad->SetLogx();
gPad->SetObjectStat(1);
frame->GetYaxis()->SetRangeUser(0,1.05);
frame->GetXaxis()->SetRangeUser(1,150.);
frame->GetYaxis()->SetTitle("Efficiency");
frame->GetXaxis()->SetTitle("E_{T} [GeV]");
frame->Draw() ;
TH1F *SCeta_EB = new TH1F("SCeta_EB","SCeta_EB",50,-2.5,2.5);
TH1F *SCeta_EE = new TH1F("SCeta_EE","SCeta_EE",50,-2.5,2.5);
SCeta_EB->SetLineColor(color1) ;
SCeta_EB->SetMarkerColor(color1);
SCeta_EB->SetMarkerStyle(style1);
SCeta_EE->SetLineColor(color2) ;
SCeta_EE->SetMarkerColor(color2);
SCeta_EE->SetMarkerStyle(style2);
TLegend *leg = new TLegend(0.40, 0.14, 0.63, 0.34, NULL, "brNDC");
leg->SetLineColor(1);
leg->SetTextColor(1);
leg->SetTextFont(42);
leg->SetTextSize(0.0244755);
leg->SetShadowColor(kWhite);
leg->SetFillColor(kWhite);
leg->AddEntry("NULL","e #tau electrons efficiency","h");
// entry->SetLineColor(1);
// entry->SetLineStyle(1);
// entry->SetLineWidth(1);
// entry->SetMarkerColor(1);
// entry->SetMarkerStyle(21);
// entry->SetMarkerSize(1);
// entry->SetTextFont(62);
leg->AddEntry(SCeta_EB,"Barrel","p");
leg->AddEntry(SCeta_EE,"Endcaps","p");
leg->Draw();
ostringstream ossi("");
ossi << thres;
TString tossi = ossi.str();
leg = new TLegend(0.40, 0.30, 0.50, 0.50, NULL, "brNDC");
leg->SetBorderSize(0);
leg->SetTextFont(62);
leg->SetTextSize(0.0297203);
leg->SetLineColor(0);
leg->SetLineStyle(1);
leg->SetLineWidth(1);
leg->SetFillColor(0);
leg->SetFillStyle(0);
leg->AddEntry("NULL","CMS Preliminary 2012 pp #sqrt{s}=8 TeV","h");
leg->AddEntry("NULL","#int L dt = "+lumi+"^{-1}","h");
leg->AddEntry("NULL","Threshold : "+tossi+" GeV","h");
leg->Draw();
ca->Print(name_image+".C","C");
ca->Print(name_image+".cxx","cxx");
ca->Print(name_image+".png","png");
ca->Print(name_image+".gif","gif");
ca->Print(name_image+".pdf","pdf");
ca->Print(name_image+".ps","ps");
/////////////////////////////
// SAVE THE ROO FIT RESULT //
/////////////////////////////
RooWorkspace *w = new RooWorkspace("workspace","workspace") ;
w->import(dataSetEB);
w->import(dataSetEE);
w->import(*roofitres_EB,"roofitres_EB");
w->import(*roofitres_EE,"roofitres_EE");
cout << "CREATES WORKSPACE : " << endl;
w->Print();
w->writeToFile(name_image+"_fitres.root") ;
//gDirectory->Add(w) ;
// DELETE POINTERS
// int a=0;
// cin >> a;
// delete treeTnP; delete cut; delete frame; delete roofitres_EB; delete roofitres_EE; delete ca; delete SCeta_EB; delete SCeta_EE; delete leg; delete w;
}
