TGraphAsymmErrors *getEfficiencyFrom(TH1F *h)
{
if(h==0) return 0;
// compute efficiency: N(x>cut) / N as function of x
// we assume overflows / underflows are included
TGraphAsymmErrors *effgr = new TGraphAsymmErrors;
effgr->SetName(h->GetName()+TString("eff"));
effgr->SetTitle(TString("#varepsilon_{")+h->GetTitle()+TString("}"));
effgr->SetMarkerStyle(h->GetMarkerStyle());
effgr->SetMarkerSize(1.3);
effgr->SetMarkerColor(h->GetLineColor());
effgr->SetLineColor(h->GetLineColor());
effgr->SetFillStyle(0);
int nbins=h->GetXaxis()->GetNbins();
Double_t tot=h->Integral();
for(int ibin=1; ibin<=nbins; ibin++)
{
Double_t cut = h->GetBinLowEdge(ibin);
Double_t err;
Double_t tot_cut=h->IntegralAndError(ibin,nbins,err);
effgr->SetPoint(ibin-1,cut,tot_cut/tot);
effgr->SetPointError(ibin-1,0,0,err/tot,err/tot);
}
return effgr;
}
// nameSuffix is appended to histograms name, making the graph's name
TGraphAsymmErrors* makeEffGraph (TH1F& h, TString nameSuffix = "eff")
{
int n = 1+h.GetNbinsX();
vector<Double_t> ps(n); // a partial sum: integral of h from -infinity to high edge of bin n, counted TH1 style
for (int i=0; i<n; ++i) {
ps [i] = h.GetBinContent (i) + (i>0 ? ps [i-1] : 0);
}
Double_t *x = new Double_t [n], *y = new Double_t [n], *exl = new Double_t [n], *exh = new Double_t [n];
Double_t *eyl = new Double_t [n], *eyh = new Double_t [n]; // for the graph
for (int i=0; i<n; ++i) {
exl [i] = exh [i] = 0;
x [i] = h.GetBinLowEdge (i+1); // low edge of nBins+1 is the right edge of h.
Double_t eff, deff;
calcPoisEff (ps[n-1] - ps[i], ps[i], eff, deff);
y [i] = eff;
makeAsymmEffErrors (eff, deff, eyl [i], eyh [i]);
}
TGraphAsymmErrors *gae = new TGraphAsymmErrors (n, x, y, exl, exh, eyl, eyh);
gae->SetTitle (h.GetTitle());
gae->GetXaxis()->SetTitle (h.GetXaxis()->GetTitle());
gae->GetYaxis()->SetTitle ("Efficiency");
gae->SetName (TString (h.GetName()) + nameSuffix);
delete[] x;
delete[] y;
delete[] exl;
delete[] exh;
delete[] eyl;
delete[] eyh;
return gae;
}
void applyEfficiencyToTauMuons() {
TFile* _fPtSm = new TFile("smearedMuonPtFromTau.07.09.2013.root","read");
TFile* _fEff = new TFile("mcWEffForTauMuonStudy_07_08_2013.root","read");
TFile* _fPtSmEff = new TFile("smearedEffAppliedMuonPtFromTau.root","recreate");
_fPtSm->cd();
TH1F* hPtSm = (TH1F*)_fPtSm->Get("hSmearedMuonPt");
_fEff->cd();
TGraphAsymmErrors* grEff = (TGraphAsymmErrors*)_fEff->Get("pEffWAccCuts");
double* yEff = grEff->GetY();
TH1F* hnew = (TH1F*)hPtSm->Clone("hnew");
///Apply efficiency bin by bin
for(int igr=0; igr<grEff->GetN(); ++igr) {
double ptNominal = hPtSm->GetBinContent(igr+1);
std::cout << "pt nominal " << ptNominal << " eff " << yEff[igr] << " = " << yEff[igr]*ptNominal << std::endl;
hnew->SetBinContent(igr+1,yEff[igr]*ptNominal);
}
_fPtSmEff->cd();
hnew->Write();
_fPtSmEff->Write();
_fPtSmEff->Close();
}
void
printVectorsToFile(wGraph_t *wg) // , const string& filename)
{
if (wg->gr->InheritsFrom("TGraphAsymmErrors")) {
TGraphAsymmErrors *agr = (TGraphAsymmErrors *)wg->gr;
cout<<"lox\tctrx\thix\tloy\tctry\thiy\tex\tey"<<endl;
for (int i=0; i<agr->GetN(); i++) {
double x,y, ex, ey, lox,hix,loy,hiy;
agr->GetPoint(i,x,y);
ex = agr->GetErrorX(i);
ey = agr->GetErrorY(i);
lox = x-ex; hix = x+ex;
loy = y-ey; hiy = y+ey;
cout <<lox<<"\t"<<x<<"\t"<<hix<<"\t";
cout <<loy<<"\t"<<y<<"\t"<<hiy<<"\t"<<ex<<"\t"<<ey<<endl;
}
} else {
cout<<"x\ty\t"<<endl;
for (int i=0; i<wg->gr->GetN(); i++) {
double x,y;
wg->gr->GetPoint(i,x,y);
cout<<x<<"\t"<<y<<endl;
}
}
} // printVectorsToFile
//*************************************************************************************************
//
//*************************************************************************************************
TGraphAsymmErrors* MakeCurrentWPSigEffVsBkgEffGraph(Double_t signalEff, Double_t bkgEff, string name ) {
//Make Met Plots
double SigEff[1];
double BkgEff[1];
double SigEffErrLow[1];
double SigEffErrHigh[1];
double BkgEffErrLow[1];
double BkgEffErrHigh[1];
double NSigTotal = 0;
double NBkgTotal = 0;
double cutValue;
SigEff[0] = signalEff;
SigEffErrLow[0] = 0;
SigEffErrHigh[0] = 0;
BkgEff[0] = bkgEff;
BkgEffErrLow[0] = 0;
BkgEffErrHigh[0] = 0;
TGraphAsymmErrors *tmpSigEffVsBkgEff = new TGraphAsymmErrors (1, BkgEff, SigEff, BkgEffErrLow, BkgEffErrHigh , SigEffErrLow, SigEffErrHigh );
tmpSigEffVsBkgEff->SetName(name.c_str());
tmpSigEffVsBkgEff->SetTitle("");
tmpSigEffVsBkgEff->GetXaxis()->SetTitle("Bkg Eff");
tmpSigEffVsBkgEff->GetYaxis()->SetTitle("Signal Eff");
tmpSigEffVsBkgEff->GetYaxis()->SetTitleOffset(1.1);
tmpSigEffVsBkgEff->GetXaxis()->SetTitleOffset(1.05);
tmpSigEffVsBkgEff->SetMarkerColor(kBlack);
tmpSigEffVsBkgEff->SetLineColor(kBlack);
tmpSigEffVsBkgEff->SetMarkerSize(1.5);
return tmpSigEffVsBkgEff;
}
TGraphAsymmErrors* FilterBins(std::vector<int> binsToSelect, TGraphAsymmErrors* inputGR) {
int numbin = binsToSelect.size();
TString name = Form ("%s_new",inputGR->GetName());
TString title = Form ("%s",inputGR->GetTitle());
TGraphAsymmErrors* newGR = new TGraphAsymmErrors();
newGR -> SetName (name);
for (int i=0; i< binsToSelect.size(); i++) {
double X = i+0.5;
double Y = (inputGR->GetY()) [binsToSelect.at(i)-1];
double errXUp = inputGR->GetErrorXhigh(binsToSelect.at(i)-1);
double errXDown = inputGR->GetErrorXlow(binsToSelect.at(i)-1);
double errYUp = inputGR->GetErrorYhigh(binsToSelect.at(i)-1);
double errYDown = inputGR->GetErrorYlow(binsToSelect.at(i)-1);
newGR->SetPoint(i, X, Y);
newGR->SetPointError(i, errXDown, errXUp, errYDown, errYUp);
// std::cout << " i = " << i << " X = " << X << " Y = " << Y << std::endl;
}
return newGR;
}
TGraph* makeGraph_response_asymmetric(std::vector<histogram_vs_X_Type>& histograms_vs_X, const std::vector<double>& y_true_array)
{
//std::cout << "<makeGraph_response_asymmetric>:" << std::endl;
unsigned numPoints = histograms_vs_X.size();
assert(numPoints > 0);
TGraphAsymmErrors* graph = new TGraphAsymmErrors(numPoints);
for ( unsigned iPoint = 0; iPoint < numPoints; ++iPoint ) {
double x = histograms_vs_X[iPoint].x_;
double xErrUp = histograms_vs_X[iPoint].xErrUp_;
double xErrDown = histograms_vs_X[iPoint].xErrDown_;
TH1* histogram = histograms_vs_X[iPoint].histogram_;
double max, maxErrUp, maxErrDown;
compHistogram_yMax(histogram, max, maxErrUp, maxErrDown);
//std::cout << "histogram = " << histogram->GetName() << ": max = " << max << " + " << maxErrUp << " - " << maxErrDown << std::endl;
double y_true = y_true_array[iPoint];
//std::cout << " y(true) = " << y_true << std::endl;
double y = max/y_true;
double yErrUp = maxErrUp/y_true;
double yErrDown = maxErrDown/y_true;
graph->SetPoint(iPoint, x, y);
graph->SetPointError(iPoint, xErrDown, xErrUp, yErrDown, yErrUp);
}
return graph;
}
TGraphAsymmErrors* ROC( TH1* hSignal, TH1* hQCD){
TGraphAsymmErrors* out = new TGraphAsymmErrors();
int nbins = hSignal->GetNbinsX();
double totalS = hSignal->GetEntries();
double totalB = hQCD->GetEntries();
cout << "=============================================================" << endl;
cout << hSignal->GetTitle() << endl;
cout << "totalS = " << totalS << " totalB= " << totalB << endl;
cout << "=============================================================" << endl;
int bin;
for(int i=0 ; i < 51; i++){
bin=i+1;
// bin=i;
double Bi = hQCD->Integral(0,bin);
double Si = hSignal->Integral(0,bin);
double eff_qcd = Bi / totalB;
double eff_signal = Si/ totalS;
double err_qcd = sqrt(Bi) / totalB;
double soverb = eff_signal/sqrt(eff_signal+eff_qcd);
cout.setf(ios::fixed);
cout.precision(5);
cout << "isolation value = " << 0.01*(bin) << " signal eff = " << eff_signal << " background eff = " << eff_qcd << " s/sqrt(s+b)= " << soverb << endl ;
cout.precision();
//out->SetPoint(i, eff_signal, 1-eff_qcd);
out->SetPoint(i, eff_qcd, eff_signal);
out->SetPointEXhigh(i,err_qcd);
out->SetPointEXlow(i, err_qcd);
}
return out;
}
void MakeNsignalEff_pt15(){
setTDRStyle();
gStyle->SetPalette(1);
TH1* medium = makehist("PreSelection_medium_pt15");
TH1* tight = makehist("PreSelection_tight_pt15");
TH1* tight_dxy10= makehist("PreSelection_iso_10_10_pt15");
TH1* tight_anal = makehist("PreSelection_pt15");
TLegend* legendH = new TLegend(0.6, 0.7, 0.9, 0.9);
legendH->SetFillColor(kWhite);
legendH->SetTextSize(0.03);
medium->GetXaxis()->SetTitle("m_{N} GeV");
medium->GetYaxis()->SetTitle("ID efficiency");
medium->SetMarkerColor(kRed);
tight->SetMarkerColor(kRed);
tight_dxy10->SetMarkerColor(kRed);
tight_anal->SetMarkerColor(kRed);
medium->SetMarkerStyle(20.);
tight->SetMarkerStyle(21.);
tight_dxy10->SetMarkerStyle(22.);
tight_anal->SetMarkerStyle(23.);
legendH->AddEntry(medium, "medium ID", "p");
legendH->AddEntry(tight, "tight ID", "p");
legendH->AddEntry(tight_dxy10, "tight+ dxy ", "p");
legendH->AddEntry(tight_anal, "tight+ dxy+ iso ", "p");
medium->Draw("p");
tight->Draw("psame");
tight_dxy10->Draw("psame");
tight_anal->Draw("psame");
legendH->Draw();
TGraphAsymmErrors * g = new TGraphAsymmErrors(heff);
g->SetLineWidth(2.0);
g->SetMarkerSize(2.);
// g->Draw( "9pXsame" );
CMS_lumi( c1, 2, 11 );
c1->Update();
c1->RedrawAxis();
c1->SaveAs(("/home/jalmond/WebPlots/PreApproval/SignalPlots/SignalEff_presel_med_tight_pt15.pdf" ));
}
void MakeNPunziLowMass_lowmasscuts(){
setTDRStyle();
gStyle->SetPalette(1);
TH1F* tight_anal1 = makehist("PreSelection_lowmass");
TH1F* tight_anal2 = makehist("PreSelection_lowmass2");
TH1F* tight_anal3 = makehist("PreSelection_lowmass3");
TLegend* legendH = new TLegend(0.6, 0.7, 0.9, 0.9);
legendH->SetFillColor(kWhite);
legendH->SetTextSize(0.03);
tight_anal3->GetXaxis()->SetTitle("m_{N} GeV");
tight_anal3->GetYaxis()->SetTitle("ID efficiency");
tight_anal1->SetMarkerColor(kRed);
tight_anal1->SetMarkerStyle(20.);
tight_anal2->SetMarkerColor(kRed);
tight_anal2->SetMarkerStyle(21.);
tight_anal3->SetMarkerColor(kRed);
tight_anal3->SetMarkerStyle(22.);
legendH->AddEntry(tight_anal1, "LowMass", "p");
legendH->AddEntry(tight_anal2, "LowMass + m(ee) < 60", "p");
legendH->AddEntry(tight_anal3, "LowMass + m(eejj) < 155", "p");
tight_anal3->GetYaxis()->SetRangeUser(0., 0.001);
tight_anal3->Draw("p");
tight_anal1->Draw("psame");
tight_anal2->Draw("psame");
legendH->Draw();
TGraphAsymmErrors * g = new TGraphAsymmErrors(heff);
g->SetLineWidth(2.0);
g->SetMarkerSize(2.);
// g->Draw( "9pXsame" );
CMS_lumi( c1, 2, 11 );
c1->Update();
c1->RedrawAxis();
c1->SaveAs(("/home/jalmond/WebPlots/PreApproval/SignalPlots/Punzi_presel_lowmasscuts.pdf" ));
return;
}
void Histograms::MakeL1GEfficiency(TH1F * num, TH1F * denom, const char * hname) {
// Make an efficiency graph with the "L1G" style
TGraphAsymmErrors * eff = new TGraphAsymmErrors( num, denom);
eff->SetMarkerStyle(24);
eff->SetMarkerColor(kBlue);
eff->SetMarkerSize(1.5);
eff->SetLineColor(kBlack);
m_efficiencies[std::string( hname )] = eff;
}
TGraphAsymmErrors *fromGEpGMptoQ4GEp(TGraph *ogr) {
if (!ogr) return 0;
TGraphAsymmErrors *ogrE = dynamic_cast<TGraphAsymmErrors*>(ogr);
int npts = ogr->GetN();
Double_t x,y;
Double_t Q2;
Double_t Gd;
TGraphAsymmErrors *gr = new TGraphAsymmErrors(npts);
ogr->TAttMarker::Copy(*gr);
ogr->TAttLine::Copy(*gr);
ogr->TAttFill::Copy(*gr);
gr->SetName(ogr->GetName());
for (int i=0; i<npts; i++) {
Double_t ex1=0,ex2=0,ey1=0,ey2=0;
ogr->GetPoint(i,x,y);
Q2=x;
if (ogrE) {
ex1 = ogrE->GetErrorXlow(i);
ex2 = ogrE->GetErrorXhigh(i);
ey1 = ogrE->GetErrorYlow(i);
ey2 = ogrE->GetErrorYhigh(i);
}
Gd = pow( 1.0 + Q2/0.71, -2.0);
y *= pow(Q2,2.0)*Gd;
ey1 *= pow(Q2,2.0)*Gd;
ey2 *= pow(Q2,2.0)*Gd;
gr->SetPoint(i,x,y);
gr->SetPointError(i,ex1,ex2,ey1,ey2);
}
return gr;
}
TGraphAsymmErrors *fromGEntoGEnGd(TGraph *ogr) {
// take a curve (with errors) of GEn and make it into (GEn/Gd)
if (!ogr) return 0;
TGraphAsymmErrors *ogrE = dynamic_cast<TGraphAsymmErrors*>(ogr);
int npts = ogr->GetN();
Double_t x,y;
Double_t Q2;
Double_t Gd;
TGraphAsymmErrors *gr = new TGraphAsymmErrors(npts);
ogr->TAttMarker::Copy(*gr);
ogr->TAttLine::Copy(*gr);
ogr->TAttFill::Copy(*gr);
gr->SetName(ogr->GetName());
for (int i=0; i<npts; i++) {
Double_t ex1=0,ex2=0,ey1=0,ey2=0;
ogr->GetPoint(i,x,y);
Q2=x;
if (ogrE) {
ex1 = ogrE->GetErrorXlow(i);
ex2 = ogrE->GetErrorXhigh(i);
ey1 = ogrE->GetErrorYlow(i);
ey2 = ogrE->GetErrorYhigh(i);
}
Gd = gdipole(&Q2,0);
y /= Gd;
ey1 /= Gd;
ey2 /= Gd;
gr->SetPoint(i,x,y);
gr->SetPointError(i,ex1,ex2,ey1,ey2);
}
return gr;
}
//*************************************************************************************************
//
//*************************************************************************************************
TGraphAsymmErrors* MakeCurrentWPSigEffVsCutValueGraph(TH1F* signalHist, string name, Double_t myCutValue ) {
//Make Met Plots
const UInt_t nPoints = signalHist->GetXaxis()->GetNbins();
double cutValue[1] = {0};
double cutValueErr[1] = {0};
double SigEff[1] = {0};
double SigEffErrLow[1] = {0};
double SigEffErrHigh[1] = {0};
double NSigTotal = 0;
Double_t effDiff = 9999;
for (UInt_t q=0; q < nPoints+2; ++q) {
NSigTotal += signalHist->GetBinContent(q);
}
for(UInt_t b=0; b < nPoints; ++b) {
Double_t nsig = 0;
for (UInt_t q=b; q < nPoints+2; ++q) {
nsig += signalHist->GetBinContent(q);
}
Double_t ratio;
Double_t n1 = 0;
Double_t n2 = 0;
n1 = TMath::Nint(nsig);
n2 = TMath::Nint(NSigTotal);
ratio = n1/n2;
cout << myCutValue << " : " << signalHist->GetXaxis()->GetBinCenter(b) << " , " << cutValue[0] << endl;
if (fabs(myCutValue - signalHist->GetXaxis()->GetBinCenter(b)) < fabs(myCutValue - cutValue[0])) {
SigEff[0] = ratio;
SigEffErrLow[0] = 0;
SigEffErrHigh[0] = 0;
cutValue[0] = signalHist->GetXaxis()->GetBinCenter(b);
cutValueErr[0] = 0;
}
}
// cout << "Final: " << cutValue[0] << " , " << SigEff[0] << endl;
TGraphAsymmErrors *tmpSigEffVsCut = new TGraphAsymmErrors (1, cutValue, SigEff, cutValueErr, cutValueErr, SigEffErrLow, SigEffErrHigh );
tmpSigEffVsCut->SetName(name.c_str());
tmpSigEffVsCut->SetTitle("");
tmpSigEffVsCut->GetXaxis()->SetTitle("Cut Value");
tmpSigEffVsCut->GetYaxis()->SetTitle("Efficiency");
tmpSigEffVsCut->GetYaxis()->SetTitleOffset(1.1);
tmpSigEffVsCut->GetXaxis()->SetTitleOffset(1.05);
tmpSigEffVsCut->SetMarkerColor(kBlack);
tmpSigEffVsCut->SetLineColor(kBlack);
tmpSigEffVsCut->SetMarkerSize(1.5);
return tmpSigEffVsCut;
}
TGraphAsymmErrors* fitTools::getGraphPoissonErrors( TH1D* histo, bool drawZeros, const std::string xerrType, float nSigma ) {
TGraphAsymmErrors* graph = new TGraphAsymmErrors(0);
for( unsigned iBin=1; iBin<(histo->GetXaxis()->GetNbins()+1); ++iBin ) {
int y; // these are data histograms, so y has to be integer
double x, xerr, yerrplus, yerrminus;
//xerr = 0.; //no xerr for now (maybe binwidth / sqrt(12)?)
x = histo->GetBinCenter(iBin);
if( xerrType=="0" )
xerr = 0.;
else if( xerrType=="binWidth" )
xerr = histo->GetBinWidth(iBin)/2.;
else if( xerrType=="sqrt12" )
xerr = histo->GetBinWidth(iBin)/sqrt(12.);
else {
std::cout << "Unkown xerrType '" << xerrType << "'. Setting to bin width." << std::endl;
xerr = histo->GetBinWidth(iBin);
}
y = (int)histo->GetBinContent(iBin);
if( y==0 && !drawZeros ) continue;
double ym, yp;
RooHistError::instance().getPoissonInterval(y,ym,yp,nSigma);
yerrplus = yp - y;
yerrminus = y - ym;
/*
// and now poissonian errors (bayes flat prior):
if( y==0 ) {
yerrminus = 0.;
yerrplus = 0.5*TMath::ChisquareQuantile(cl, 2.*(y+1.) );
} else {
//float lowL = 0.5*TMath::ChisquareQuantile(1.-cl/2., 2.*y);
//float upL = 0.5*TMath::ChisquareQuantile(cl/2., 2.*(y+1.) );
float lowL = 0.5*TMath::ChisquareQuantile(1.-cl, 2.*y);
float upL = 0.5*TMath::ChisquareQuantile(cl, 2.*(y+1.) );
yerrminus = y - lowL;
yerrplus = upL - y;
}
*/
int thisPoint = graph->GetN();
graph->SetPoint( thisPoint, x, y );
graph->SetPointError( thisPoint, xerr, xerr, yerrminus, yerrplus );
}
return graph;
}
void drawROC(TString& type, TString& ytitle, TString& xtitle, TString& head, TString &leg1, TString& leg2, TString& leg3, TString & leg4){
TCanvas *c = new TCanvas(Form("%s",type.Data()), Form("%s",type.Data()) ,5,49,400,400);
SetStyleCanvas(c);
TGraphAsymmErrors *grae1ROCdetrel = new TGraphAsymmErrors();
TGraphAsymmErrors *grae1ROCdettrk = new TGraphAsymmErrors();
TGraphAsymmErrors *grae1ROCpf = new TGraphAsymmErrors();
TGraphErrors *grae1ROCLKT = new TGraphErrors();
ROCDetectorRelIsoData(grae1ROCdetrel);
ROCDetectorTrkIsoData(grae1ROCdettrk);
ROCParticleIsoData(grae1ROCpf);
TGraphErrors *graeTbkgData = new TGraphErrors();
TGraphErrors *graeTsigData = new TGraphErrors();
EffLKTIsoData(graeTsigData);
SetDataQCDEffLKT(graeTbkgData);
grae1ROCLKT = getROC(graeTsigData, graeTbkgData);
//ROCLKTIsoData(grae1ROCLKT);
//limit trk ROC to 10 points
grae1ROCdettrk = getModifiedROC(grae1ROCdettrk, 10);
TGraphAsymmErrors *temp = new TGraphAsymmErrors();
temp=getTemp(1, 14);
SetStyleGraphErrors(temp, 2, 23, 0, 0.0, ytitle, xtitle, 0.77, 1.02);
SetStyleGraphErrors(grae1ROCdetrel, 2, 23, 0, 0.8, ytitle, xtitle, 0.8, 1.1);
SetStyleGraphErrors(grae1ROCdettrk, 3, 22, 0, 0.8, ytitle, xtitle, 0.8, 1.1);
SetStyleGraphErrors(grae1ROCpf, 4, 20, 0, 0.8, ytitle, xtitle, 0.8, 1.1);
SetStyleGraphErrors(grae1ROCLKT, 6, 20, 0, 0.8, ytitle, xtitle, 0.8, 1.1);
//draw error band *****
grae1ROCdetrel->SetFillColor(2);
grae1ROCdetrel->SetFillStyle(3001);
grae1ROCdettrk->SetFillColor(3);
grae1ROCdettrk->SetFillStyle(3001);
grae1ROCpf->SetFillColor(4);
grae1ROCpf->SetFillStyle(3001);
//end draw error band *****
temp->Draw("APC");
grae1ROCdetrel->Draw("3CPSame");
grae1ROCdettrk->Draw("3CPSame");
grae1ROCpf->Draw("3CPSame");
grae1ROCLKT->Draw("PSame");
SetLegend(grae1ROCpf, grae1ROCdetrel, grae1ROCdettrk, grae1ROCLKT, "Data", leg1, leg2, leg3, leg4, "PL","PL","PL","P",0.6, 0.20, 0.9,0.50);
SetLabel(0.19,0.88,36);
c->Print(Form("%s.eps",type.Data()));
}
//*************************************************************************************************
//
//*************************************************************************************************
TGraphAsymmErrors* MakeSigEffVsBkgEffGraph(TH1F* signalHist, TH1F* bkgHist, string name ) {
//Make Met Plots
const UInt_t nPoints = signalHist->GetXaxis()->GetNbins();
double SigEff[nPoints];
double BkgEff[nPoints];
double SigEffErrLow[nPoints];
double SigEffErrHigh[nPoints];
double BkgEffErrLow[nPoints];
double BkgEffErrHigh[nPoints];
double NSigTotal = 0;
double NBkgTotal = 0;
for (UInt_t q=0; q < nPoints+2; ++q) {
NSigTotal += signalHist->GetBinContent(q);
NBkgTotal += bkgHist->GetBinContent(q);
}
for(UInt_t b=0; b < nPoints; ++b) {
Double_t nsig = 0;
Double_t nbkg = 0;
for (UInt_t q=b; q < nPoints+2; ++q) {
nsig += signalHist->GetBinContent(q);
nbkg += bkgHist->GetBinContent(q);
}
Double_t ratio;
Double_t n1 = 0;
Double_t n2 = 0;
n1 = TMath::Nint(nsig);
n2 = TMath::Nint(NSigTotal);
ratio = n1/n2;
SigEff[b] = ratio;
SigEffErrLow[b] = 0;
SigEffErrHigh[b] = 0;
n1 = TMath::Nint(nbkg);
n2 = TMath::Nint(NBkgTotal);
ratio = n1/n2;
BkgEff[b] = ratio;
BkgEffErrLow[b] = 0;
BkgEffErrHigh[b] = 0;
}
TGraphAsymmErrors *tmpSigEffVsBkgEff = new TGraphAsymmErrors (nPoints, BkgEff, SigEff, BkgEffErrLow, BkgEffErrHigh, SigEffErrLow, SigEffErrHigh );
tmpSigEffVsBkgEff->SetName(name.c_str());
tmpSigEffVsBkgEff->SetTitle("");
tmpSigEffVsBkgEff->GetXaxis()->SetTitle("Bkg Eff");
tmpSigEffVsBkgEff->GetYaxis()->SetTitle("Signal Eff");
tmpSigEffVsBkgEff->GetYaxis()->SetTitleOffset(1.1);
tmpSigEffVsBkgEff->GetXaxis()->SetTitleOffset(1.05);
tmpSigEffVsBkgEff->SetMarkerSize(0.5);
tmpSigEffVsBkgEff->SetMarkerStyle(20);
return tmpSigEffVsBkgEff;
}
void addLine(TString file,TString name,TString legend,Color_t color,Int_t linestyle = 0,Int_t linewidth = 3)
{
TFile * f = new TFile(file);
TGraphAsymmErrors *obs = (TGraphAsymmErrors*)f->Get(name);
obs->SetLineColor(color);
obs->SetLineStyle(linestyle);
obs->SetLineWidth(linewidth);
obs->Draw("LXsame");
if(legend!="") {
l->AddEntry(obs,legend,"l");
}
}
// Take a tree, a variable and calculate the efficiency
TGraphAsymmErrors* getEfficiency(TTree *t, char *variable, TCut preselection, TCut cut, int nBin, Float_t *bins)
{
static int count = 0;
count++;
TH1D *hPass = new TH1D (Form("hPass%d",count),"",nBin,bins);
TH1D *hAll = new TH1D (Form("hAll%d",count),"",nBin,bins);
t->Draw(Form("%s>>hAll%d",variable,count),preselection);
t->Draw(Form("%s>>hPass%d",variable,count),preselection&&cut);
TGraphAsymmErrors *g = new TGraphAsymmErrors;
g->BayesDivide(hPass,hAll);
return g;
}
//____________________________________________________________________________________
TGraphAsymmErrors *calcEfficiency(TH1* h1, TH1* h2)
{
TH1 *phUp = (TH1 *)h2->Clone("phUp");
TH1 *phDown = (TH1 *)h1->Clone("phDown");
phUp->SetDirectory(0);
phDown->SetDirectory(0);
TGraphAsymmErrors *pgEfficiency = new TGraphAsymmErrors();
pgEfficiency->BayesDivide(phUp,phDown,"");
return pgEfficiency;
}
TGraphAsymmErrors* ratio_tgraphs(TGraphAsymmErrors *n, TGraphAsymmErrors *d, double scale){
cout<<"[ratio_tgraphs]"<<endl;
if(!n || !d) return 0;
int N = d->GetN();
cout<<"number of bins "<<N<<endl;
TGraphAsymmErrors *ratio = new TGraphAsymmErrors(N);
char name[300];
sprintf(name,"ratio_%s_over_%s",n->GetName(),d->GetName());
ratio->SetName(name);
for(int i=0;i<N;i++)
{
double nx, ny;
double nex, ney;
n->GetPoint(i,nx,ny);
nex = n->GetErrorX(i);
ney = n->GetErrorY(i);
double dx, dy;
double dex, dey;
d->GetPoint(i,dx,dy);
//cout<<" dy "<<dy<<endl;
dex = d->GetErrorX(i);
dey = d->GetErrorY(i);
double rx, ry;
double rex, rey;
//cout<<"nx :"<<nx<<"ny :"<<ny<<endl;
//cout<<"dx :"<<dx<<"dy :"<<dy<<endl;
if(dy==0) ry = 999;
else ry = (ny/dy)*scale;
//rex = rey = 0;
rex = 0;
//rey = sqrt((ney*ney)/(ny*ny)+(dey*dey)/(dy*dy));
rey = sqrt((ney*ney)+(dey*dey))*scale;
ratio->SetPoint(i,dx,ry);
ratio->SetPointError(i,rex,rex,rey,rey);
}
return ratio;
}
bool PlotManager::saveBayesEfficiency(const string& graphName, const string& graphTitle,
const string& numeHistName, const string& denoHistName)
{
if ( ! isSetup_ ) return false;
TH1F* numeHist = (TH1F*)(theSrcFile_->Get(numeHistName.c_str()));
TH1F* denoHist = (TH1F*)(theSrcFile_->Get(denoHistName.c_str()));
// Check validity of objects
if ( numeHist == 0 || denoHist == 0 ) {
cerr << "Cannot get object : " << graphName << endl;
return false;
}
if ( ! numeHist->IsA()->InheritsFrom("TH1") ||
! denoHist->IsA()->InheritsFrom("TH1") ||
numeHist->IsA()->InheritsFrom("TH2") ||
denoHist->IsA()->InheritsFrom("TH2") ) {
return false;
}
// Check bin size
if ( numeHist->GetNbinsX() != denoHist->GetNbinsX() ) {
cerr << "Bin size of two histograms are not same" << endl;
return false;
}
// Push to base directory
string pwd(gDirectory->GetPath());
string newGraphPath = dirname(graphName);
string newGraphName = basename(graphName);
if ( newGraphPath.empty() ) {
theOutFile_->cd();
}
else if ( theOutFile_->cd(newGraphPath.c_str()) == kFALSE ) {
cout << "Cannot find directory, do mkdirs" << endl;
mkdirs(theOutFile_, newGraphPath)->cd();
}
// Create new TGraphAsymmErrors
TGraphAsymmErrors* effGraph = new TGraphAsymmErrors(numeHist, denoHist);
// Cosmetics
effGraph->SetName(newGraphName.c_str());
effGraph->SetTitle(graphTitle.c_str());
effGraph->SetMinimum(0.8);
effGraph->SetMaximum(1.0);
effGraph->GetXaxis()->SetTitle(numeHist->GetXaxis()->GetTitle());
effGraph->GetYaxis()->SetTitle("Efficiency");
// Save histogram
effGraph->Write();
// Pop directory
gDirectory->cd(pwd.c_str());
return true;
}
TGraphAsymmErrors* EFF( TH1* hSignal ){
TGraphAsymmErrors* out = new TGraphAsymmErrors();
int nbins = hSignal->GetNbinsX();
double totalS = hSignal->GetEntries();
int bin;
for(int i=0 ; i < 1000; i++){
bin=i+1;
double Si = hSignal->Integral(0,bin);
double eff_signal = Si/ totalS;
out->SetPoint(i, 0.01*(i+1), eff_signal);
//out->SetPointEXhigh(i,err_signal);
//out->SetPointEXlow(i, err_signal);
}
return out;
}
//! Read TGraphAsymmErrors from file
// -------------------------------------------------------------------------------------
TGraphAsymmErrors* readTGraphAsymmErrors(const TString &fileName, const TString &gName, const TString &newGName) {
TFile file(fileName,"READ");
TGraphAsymmErrors *g = 0;
file.GetObject(gName,g);
if( g ) {
if( newGName.Length() ) g->SetName(newGName);
} else {
std::cerr << "ERROR in FileOps::readTGraph: TGraphAsymmErrors with name '" << gName << "' does not exist in file '" << fileName << "'\n.";
file.Close();
exit(-1);
}
file.Close();
return g;
}
TGraphAsymmErrors* OffSetter(vector<TGraphAsymmErrors*> Orginal, bool Data = false) {
size_t Newnphistar = nphistar - 2;
TGraphAsymmErrors* NewPlot = new TGraphAsymmErrors(Newnphistar * ny);
for (size_t ybin = 0; ybin < ny; ybin++) {
for (size_t j = 0; j < Newnphistar - 2; j++) {
double x, y;
Orginal[ybin]->GetPoint(j, x, y);
double Error = Orginal[ybin]->GetErrorYhigh(j);
NewPlot->SetPoint(j + ybin * Newnphistar, x, y + .5 * (ny - ybin - 1));
if (Data)NewPlot->SetPointError(j + ybin * Newnphistar, (phistarBins[j + 1] - phistarBins[j]) / 2., (phistarBins[j + 1] - phistarBins[j]) / 2., Error, Error);
else NewPlot->SetPointError(j + ybin*Newnphistar, 0, 0, Error, Error);
}
}
return NewPlot;
}
double GetError(TH1* h, bool up){
const double alpha = 1 - 0.6827;
if(!h) return 0.;
TGraphAsymmErrors * g = new TGraphAsymmErrors(h);
for (int i = 0; i < g->GetN(); ++i) {
int N = g->GetY()[i];
double L = (N==0) ? 0 : (ROOT::Math::gamma_quantile(alpha/2,N,1.));
double U = (N==0) ? ( ROOT::Math::gamma_quantile_c(alpha,N+1,1) ) :
( ROOT::Math::gamma_quantile_c(alpha/2,N+1,1) );
if ( N!=0 ) {
if(up) return U-N;
else return N-L;
}
}
}
vector<TGraphAsymmErrors*> SplitGraph(TGraphAsymmErrors* graph, bool doXerrors = 0) {
vector<TGraphAsymmErrors*> v;
for (uint i = 0; i < ny; i++) {
TGraphAsymmErrors* g = new TGraphAsymmErrors(nphistar);
for (uint j = 0; j < nphistar; j++) {
int bin = i * nphistar + j;
double x, y;
graph->GetPoint(bin, x, y);
g->SetPoint(j, (phistarBins[j] + phistarBins[j + 1]) / 2., y);
g->SetPointError(j, 0, 0, graph->GetErrorYlow(bin), graph->GetErrorYhigh(bin));
if (doXerrors) g->SetPointError(j, (phistarBins[j + 1] - phistarBins[j]) / 2., (phistarBins[j + 1] - phistarBins[j]) / 2., graph->GetErrorYlow(bin), graph->GetErrorYhigh(bin));
//cout << i << " " << j << " " << bin << " " << (phistarBins[j] + phistarBins[j + 1]) / 2. << " " << (phistarBins[j + 1] - phistarBins[j]) / 2. << " " << y << " " << graph->GetErrorYlow(bin) << " " << graph->GetErrorYhigh(bin) << endl;
}
v.push_back(g);
}
return v;
}
Hists(std::string name)
{
title = name;
h1McPt = new TH1F(Form("h1McPt_%s",name.c_str()),";mcP_{T}(GeV/c)",40,1,5);
h1HftMatchedMcPt = new TH1F(Form("h1HftMatchedMcPt_%s",name.c_str()),";mcP_{T}(GeV/c)",40,1,5);
h1TpcMcPt = new TH1F(Form("h1TpcMcPt_%s",name.c_str()),";mcP_{T}(GeV/c)",40,1,5);
gTpcEff = new TGraphAsymmErrors; gTpcEff->SetName(Form("gTpcEff_%s",name.c_str()));
gHftEff = new TGraphAsymmErrors; gHftEff->SetName(Form("gHftEff_%s",name.c_str()));
h1DcaZPosEta = new TH1F(Form("h1DcaZPosEta_%s",name.c_str()),";dcaZ(cm)",400,-1,1);
h1DcaZNegEta = new TH1F(Form("h1DcaZNegEta_%s",name.c_str()),";dcaZ(cm)",400,-1,1);
h1DcaZ = new TH1F(Form("h1DcaZ_%s",name.c_str()),";dcaZ(cm)",400,-1,1);
h1McPt->SetDirectory(0);
h1HftMatchedMcPt->SetDirectory(0);
h1TpcMcPt->SetDirectory(0);
h1DcaZ->SetDirectory(0);
}
/**
* Add distributions from other experiments to stacks
*
* @param name Name of current bin
* @param i Index of current bin
* @param sNN Center of mass energy
* @param allALICE Stack of ALICE data
* @param allCMS Stack of CMS data
* @param alice Possible ALICE result on return
* @param cms Possible CMS result on return
*/
void Other2Stack(const TString& name, Int_t i,
UShort_t sNN, TMultiGraph* allALICE, TMultiGraph* allCMS,
TGraph*& alice, TGraph*& cms)
{
if (!allALICE && !allCMS) return;
TString tmp(name);
tmp.ReplaceAll("p", "+");
tmp.ReplaceAll("m", "-");
tmp.ReplaceAll("_", " ");
tmp.ReplaceAll("d", ".");
TObjArray* tokens = tmp.Tokenize(" ");
if (!tokens || tokens->GetEntriesFast() < 2) {
Error("Other2Stack", "Failed to decode eta range from %s", name.Data());
if (tokens) tokens->Delete();
return;
}
Double_t eta1 = static_cast<TObjString*>(tokens->At(0))->String().Atof();
Double_t eta2 = static_cast<TObjString*>(tokens->At(1))->String().Atof();
tokens->Delete();
if (TMath::Abs(eta2+eta1) > 1e-3) {
// Not symmetric bin
// Info("Other2Stack", "bin [%f,%f] is not symmetric (%f)",
// eta1, eta2, TMath::Abs(eta2-eta1));
return;
}
Double_t aEta = TMath::Abs(eta1);
Int_t open, closed;
Double_t factor;
Float_t size;
BinAttributes(i, open, closed, size, factor);
if (allALICE) {
TGraphAsymmErrors* g = GetOther(1, aEta, sNN, factor);
if (g) {
g->SetMarkerStyle(closed);
g->SetMarkerColor(kColorALICE);
g->SetMarkerSize(size);
allALICE->Add(g, "p same");
alice = g;
}
}
if (allCMS) {
TGraphAsymmErrors* g = GetOther(0, aEta, sNN, factor);
if (g) {
g->SetMarkerStyle(closed);
g->SetMarkerColor(kColorCMS);
g->SetMarkerSize(size);
allCMS->Add(g, "p same");
cms = g;
}
}
}
TGraphAsymmErrors* CombineTwoTGraphAsymm(TGraphAsymmErrors *graph1, TGraphAsymmErrors *graph2, TH1D *baseHist, Bool_t shouldAddQuadrature)
{
if (!graph1 || !graph2 || !baseHist) {
cout << "Missing component. Cannot combine graphs" <<endl;
return NULL;
}
// Initialize the TGraph from the base histogram
TGraphAsymmErrors *combinedGraph = new TGraphAsymmErrors(baseHist);
// Loop over the bins and combine the errors
for (Int_t iBin = 0; iBin < combinedGraph->GetN(); iBin++) {
Double_t errYHigh = 0;
Double_t errYLow = 0;
if (shouldAddQuadrature) {
// Add the errors in quadrature
errYHigh = pow(graph1->GetErrorYhigh(iBin), 2);
errYHigh += pow(graph2->GetErrorYhigh(iBin), 2);
errYHigh = sqrt(errYHigh);
errYLow = pow(graph1->GetErrorYlow(iBin), 2);
errYLow += pow(graph2->GetErrorYlow(iBin), 2);
errYLow = sqrt(errYLow);
} else {
// Just take the largest value for the bin
if (errYHigh < graph1->GetErrorYhigh(iBin)) {
errYHigh = graph1->GetErrorYhigh(iBin);
}
if (errYHigh < graph2->GetErrorYhigh(iBin)) {
errYHigh = graph2->GetErrorYhigh(iBin);
}
if (errYLow < graph1->GetErrorYlow(iBin)) {
errYLow = graph1->GetErrorYlow(iBin);
}
if (errYLow < graph2->GetErrorYlow(iBin)) {
errYLow = graph2->GetErrorYlow(iBin);
}
}
combinedGraph->SetPointEYhigh(iBin, errYHigh);
combinedGraph->SetPointEYlow(iBin, errYLow);
}
return combinedGraph;
}