// Modes: linear or log
plotHistogram(const char* canvas, const char* mode, const char* title,
double xlo, double xhi, int nbin,
double* sig, double* sigerr, double* bgr, double* bgrerr)
{
TCanvas *c
= new TCanvas(canvas,"SPR Classifier Output",200,10,600,400);
gStyle->SetPalette(1);
TLegend *leg = new TLegend(0.1,0.85,0.5,1.,"Classifier Output","NDC");
double dx = (xhi-xlo) / nbin;
TH1D* hs = new TH1D("signal", title,nbin,xlo,xhi);
TH1D* hb = new TH1D("background",title,nbin,xlo,xhi);
leg->AddEntry(hs,"Signal","L");
leg->AddEntry(hb,"Background","L");
for( int i=0;i<nbin;i++ ) {
hs->SetBinContent(i+1,sig[i]);
hs->SetBinError(i+1,sigerr[i]);
hb->SetBinContent(i+1,bgr[i]);
hb->SetBinError(i+1,bgrerr[i]);
}
TPad* pad = new TPad("pad","pad",0,0,1,1);
if( strcmp(mode,"log") == 0 ) pad->SetLogy(1);
pad->Draw();
pad->cd();
hs->SetLineColor(2);
hs->SetLineWidth(3);
hb->SetLineColor(4);
hb->SetLineWidth(3);
hb->Draw();
hs->Draw("same");
leg->Draw();
}
void plotter::draw_output_pseudo(TH1* output_, TH1D* pseudotruth_, TH1D* mctruth_, bool norm, TString file_name){
TH1* output = (TH1*) output_->Clone("output");
TH1D* pseudotruth = (TH1D*) pseudotruth_->Clone("pseudotruth");
TH1D* mctruth = (TH1D*) mctruth_->Clone("mctruth");
double ymax_temp = 0;
if(pseudotruth->GetMaximum() > ymax_temp) ymax_temp = pseudotruth->GetMaximum();
if(mctruth->GetMaximum() > ymax_temp) ymax_temp = mctruth->GetMaximum();
if(output->GetMaximum() > ymax_temp) ymax_temp = output->GetMaximum();
double ymax = 1.5 * ymax_temp;
pseudotruth->SetTitle(" ");
pseudotruth->GetYaxis()->SetRangeUser(0., ymax);
pseudotruth->GetXaxis()->SetTitle("Leading-jet mass [GeV]");
if(norm) pseudotruth->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{d#sigma}{dm_{jet}} [#frac{1}{GeV}]");
else pseudotruth->GetYaxis()->SetTitle("events");
pseudotruth->GetYaxis()->SetTitleOffset(1.1);
pseudotruth->GetXaxis()->SetTitleOffset(0.9);
pseudotruth->GetYaxis()->SetTitleSize(0.05);
pseudotruth->GetXaxis()->SetTitleSize(0.05);
pseudotruth->GetYaxis()->SetNdivisions(505);
pseudotruth->SetLineWidth(4);
pseudotruth->SetLineColor(kRed);
mctruth->SetLineWidth(3);
mctruth->SetLineStyle(2);
mctruth->SetLineColor(kBlue);
output->SetLineColor(kBlack);
output->SetMarkerColor(kBlack);
output->SetMarkerStyle(8);
output->SetMarkerSize(1);
TCanvas *c= new TCanvas("Particle Level","",600,600);
gPad->SetLeftMargin(0.15);
TGaxis::SetMaxDigits(3);
pseudotruth->Draw("HIST SAME");
mctruth->Draw("HIST SAME");
output->Draw("E1 SAME");
TLegend *l;
if(mctruth->GetSize() > 20) l=new TLegend(0.2,0.6,0.4,0.85);
else l=new TLegend(0.55,0.6,0.85,0.85);
l->SetBorderSize(0);
l->SetFillStyle(0);
l->AddEntry(output,"pseudo data","pl");
l->AddEntry(pseudotruth,"pseudo data truth","pl");
l->AddEntry(mctruth,"MC truth","pl");
l->SetTextSize(0.04);
l->Draw();
gPad->RedrawAxis();
c->SaveAs(directory + file_name + ".pdf");
delete c;
}
void plotTurnOn(TTree* inttree, TString triggerpass, TString variable, TString varname, TString varlatex)
{
if(varname=="vtxprob")
{
BIN_MIN = 0;
BIN_MAX = 1;
}
else if(varname=="ffls3d")
{
BIN_MIN = 0;
BIN_MAX = 50;
}
else if(varname=="cosalpha")
{
BIN_MIN = 0.9;
BIN_MAX = 1;
}
TH1D* hAll = new TH1D(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
inttree->Project(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),variable,prefilter);
TH1D* hMBseed = new TH1D(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
inttree->Project(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),variable,Form("%s&&%s",prefilter.Data(),triggerpass.Data()));
//cout<<hAll->Integral()<<endl;
hAll->Scale(1./hAll->Integral());
hMBseed->Scale(1./hMBseed->Integral());
hAll->SetStats(0);
hMBseed->SetStats(0);
hAll->SetMaximum(hMBseed->GetMaximum()*1.3);
hAll->SetLineWidth(2);
hAll->SetLineColor(kBlue-7);
hAll->SetFillColor(kBlue-7);
hAll->SetFillStyle(3001);
hMBseed->SetLineWidth(2);
hMBseed->SetLineColor(kRed);
hMBseed->SetFillColor(kRed);
hMBseed->SetFillStyle(3004);
TCanvas* c = new TCanvas(Form("c%s_%s",triggerpass.Data(),varname.Data()),"",500,500);
hAll->Draw();
hMBseed->Draw("same");
TLatex* tex = new TLatex(0.18,0.96,triggerpass);
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.04);
tex->Draw();
TLegend* leg = new TLegend(0.60,0.82,0.92,0.93);
leg->SetFillStyle(0);
leg->SetBorderSize(0);
leg->AddEntry(hAll,"all","f");
leg->AddEntry(hMBseed,"pass trigger","f");
leg->Draw();
c->SaveAs(Form("triggerturnonPlots/pthat%.0f/c%s_%s.pdf",pthat,triggerpass.Data(),varname.Data()));
}
void savePlots2(const std::string& canvasName, TH1D& dataPlot, TH1D& fitPlot,
TH1D& signalPlot, TH1D& bkgPlot) {
TCanvas c(canvasName.c_str(), canvasName.c_str()) ;
TPad mainPad("mainPad", "mainPad", 0., 0.2, 1., 1.) ;
mainPad.Draw() ;
TPad pullPad("pullPad", "pullPad", 0., 0., 1., 0.2) ;
pullPad.Draw() ;
mainPad.cd() ;
dataPlot.SetStats(true) ;
//dataPlot.SetOptStat(111111111);
dataPlot.SetLineWidth(2) ;
dataPlot.Draw() ;
fitPlot.SetLineWidth(2) ;
fitPlot.SetLineColor(kBlue) ;
fitPlot.Draw("same") ;
signalPlot.SetLineWidth(2) ;
signalPlot.SetLineColor(kGreen) ;
signalPlot.Draw("same") ;
bkgPlot.SetLineColor(kRed) ;
bkgPlot.SetLineWidth(2) ;
bkgPlot.Draw("same") ;
TLegend leg(0.6, 0.7, 0.9, 0.9) ;
leg.AddEntry(&dataPlot, "Data") ;
leg.AddEntry(&fitPlot, "Fit") ;
leg.AddEntry(&signalPlot, "Signal") ;
leg.AddEntry(&bkgPlot, "Background") ;
leg.SetFillStyle(0) ;
leg.SetBorderSize(0) ;
leg.Draw() ;
pullPad.cd() ;
pullPad.SetGridy() ;
TH1D* h_residuals(NULL), *h_pulls(NULL), *h_pullDistribution(NULL) ;
FitterTools::makePullPlot(dataPlot, fitPlot, h_residuals, h_pulls, h_pullDistribution) ;
h_pulls->Draw() ;
c.Write() ;
h_pulls->Write() ;
delete h_pulls ;
h_residuals->Write() ;
delete h_residuals ;
h_pullDistribution->Write() ;
delete h_pullDistribution ;
dataPlot.Write() ;
fitPlot.Write() ;
}
void vertex_distribution_dataMC() {
bool print = false;
TFile *file0 = TFile::Open("results/RecoRoutines_W-selection_WJetsMGZ238PU.root");
TFile *file1 = TFile::Open("results/RecoRoutines_W-selection_dataskimnov4rereco_newJetColl.root");
TCanvas * canvas = makeCanvas("vertexDistribution_dataMC");
TH1D * mc = (TH1D*)file0->Get("RECO_PolPlots_50toinf/RECO_NumVerticesPerEvent");
TH1D * data = (TH1D*)file1->Get("RECO_PolPlots_50toinf/RECO_NumVerticesPerEvent");
mc->GetXaxis()->SetTitle("Vertex Multiplicity");
mc->GetXaxis()->SetTitleSize(0.06);
mc->GetXaxis()->SetLabelOffset(0.015);
mc->GetXaxis()->SetTitleOffset(1.2);
mc->GetXaxis()->SetRangeUser(0,10);
mc->GetYaxis()->SetRangeUser(0,0.35);
mc->GetYaxis()->SetTitle("Normalised");
mc->GetYaxis()->SetTitleSize(0.06);
mc->GetYaxis()->SetTitleOffset(0.85);
mc->SetLineColor(kRed);
data->SetLineColor(kBlack);
mc->SetLineWidth(4);
mc->SetLineStyle(2);
data->SetLineWidth(4);
data->SetLineStyle(1);
leg = new TLegend(0.6426174,0.8074324,0.9010067,0.9273649,NULL,"brNDC");
leg->AddEntry(mc,"MC","l");
leg->AddEntry(data,"Data","l");
leg->SetFillColor(kWhite);
leg->SetBorderSize(0);
leg->SetTextFont(62);
canvas->cd();
mc->DrawNormalized("h");
data->DrawNormalized("sameh");
leg->DrawClone();
if(print) {
canvas->Write();
}
file1->Close();
file0->Close();
return;
}
void plotter::draw_bias(TH1* output_, TH1D* truth_, TH1* bias_, TString file_name){
TH1D* bias = (TH1D*) bias_->Clone("bias");
TH1D* truth = (TH1D*) truth_->Clone("truth");
TH1D* output = (TH1D*) output_->Clone("output");
double ymax_temp = 0;
if(truth->GetMaximum() > ymax_temp) ymax_temp = truth->GetMaximum();
if(bias->GetMaximum() > ymax_temp) ymax_temp = bias->GetMaximum();
if(output->GetMaximum() > ymax_temp) ymax_temp = output->GetMaximum();
double ymax = 1.5 * ymax_temp;
TCanvas *c= new TCanvas("Bias Distribution","",600,600);
TGaxis::SetMaxDigits(3);
gPad->SetLeftMargin(0.15);
truth->SetTitle(file_name);
truth->GetYaxis()->SetRangeUser(0., ymax);
truth->GetXaxis()->SetTitle("Leading-jet mass [GeV]");
truth->GetYaxis()->SetTitle("events");
truth->GetYaxis()->SetTitleOffset(1.1);
truth->GetXaxis()->SetTitleOffset(0.9);
truth->GetYaxis()->SetTitleSize(0.05);
truth->GetXaxis()->SetTitleSize(0.05);
truth->GetYaxis()->SetNdivisions(505);
truth->SetLineWidth(4);
truth->SetLineColor(kRed);
bias->SetLineWidth(4);
bias->SetLineColor(kAzure+7);
output->SetLineColor(kBlack);
output->SetMarkerColor(kBlack);
output->SetMarkerStyle(8);
output->SetMarkerSize(1);
truth->Draw("HIST SAME");
bias->Draw("HIST SAME");
output->Draw("E1 SAME");
TLegend *l=new TLegend(0.55,0.6,0.85,0.85);
l->SetBorderSize(0);
l->SetFillStyle(0);
l->AddEntry(output,"unfolded result","pl");
l->AddEntry(truth,"truth","pl");
l->AddEntry(bias,"bias distribution","pl");
l->SetTextSize(0.04);
l->Draw();
gPad->RedrawAxis();
c->SaveAs(directory + file_name + ".pdf");
delete c;
}
void mc2ibd_R2(TChain *tMC, TFile *fBgnd, TCanvas *cv)
{
char str[1024];
TLatex *txt = new TLatex();
TH1D *hExp = (TH1D *) fBgnd->Get("hR2A-diff");
if (!hExp) {
printf("Histogram hR2A-diff not found in %s\n", fBgnd->GetName());
return;
}
hExp->SetTitle("Distance between positron and neutron, 3D case;cm;Events/4cm");
hExp->SetLineColor(kBlack);
hExp->SetLineWidth(3);
gROOT->cd();
TH1D *hMC = new TH1D("hR2MC", "Distance between positron and neutron, 3D case (MC);cm;Events/4cm", 40, 0, 160);
hMC->SetLineColor(kBlue);
tMC->Project(hMC->GetName(), "Distance", cX && cY && cZ && cRXY && c20 && cGamma && cGammaMax && cPe && cN);
hMC->Sumw2();
hMC->Scale(hExp->Integral() / hMC->Integral());
cv->Clear();
hExp->DrawCopy();
hMC->Draw("hist,same");
TLegend *lg = new TLegend(0.65, 0.8, 0.89, 0.89);
lg->AddEntry(hExp, "IBD", "LE");
lg->AddEntry(hMC, "MC", "L");
lg->Draw();
}
TH1D* returnRelDiff(TH1D* h, TH1D* b, TString name) {
TH1D* hRelDiff = new TH1D(name, "", h->GetNbinsX(), h->GetXaxis()->GetXmin(), h->GetXaxis()->GetXmax());
hRelDiff->SetLineColor(h->GetLineColor());
hRelDiff->SetLineStyle(h->GetLineStyle());
hRelDiff->SetLineWidth(h->GetLineWidth());
hRelDiff->GetYaxis()->SetTitleOffset(0.42);
hRelDiff->GetYaxis()->SetTitleSize(0.13);
hRelDiff->GetYaxis()->SetLabelSize(0.10);
hRelDiff->GetXaxis()->SetTitleOffset(1.2);
hRelDiff->GetXaxis()->SetTitleSize(0.13);
hRelDiff->GetXaxis()->SetLabelSize(0.12);
//hRelDiff->GetXaxis()->CenterTitle();
hRelDiff->GetYaxis()->CenterTitle();
hRelDiff->GetYaxis()->SetNdivisions(303,kTRUE);
// (mc-data)/mc, uncertainty is √data
for (Int_t i=1; i<h->GetNbinsX()+1; i++) {
Double_t y = b->GetBinContent(i);
Double_t val = h->GetBinContent(i) - y;
if (y!=0) { hRelDiff->SetBinContent(i, val/h->GetBinContent(i)); hRelDiff->SetBinError(i,TMath::Sqrt(b->GetBinContent(i))/h->GetBinContent(i)); }
else hRelDiff->SetBinContent(i, 0);
}
return hRelDiff;
}
void mc2ibd_NE(TChain *tMC, TFile *fBgnd, TCanvas *cv)
{
char str[1024];
TLatex *txt = new TLatex();
TH1D *hExp = (TH1D *) fBgnd->Get("hNEA-diff");
if (!hExp) {
printf("Histogram hNEA-diff not found in %s\n", fBgnd->GetName());
return;
}
hExp->SetTitle("Delayed event energy;MeV;Events/200 keV");
hExp->SetLineColor(kBlack);
hExp->SetLineWidth(3);
gROOT->cd();
TH1D *hMC = new TH1D("hNEMC", "Delayed event energy (MC);MeV;Events/200 keV", 45, 3, 12);
hMC->SetLineColor(kBlue);
tMC->Project(hMC->GetName(), "NeutronEnergy", cX && cY && cZ && cR && c20 && cGamma && cGammaMax && cPe);
hMC->Sumw2();
hMC->Scale(hExp->Integral(15, 45) / hMC->Integral(15,45));
cv->Clear();
hMC->Draw("hist");
hExp->DrawCopy("same");
TLegend *lg = new TLegend(0.65, 0.8, 0.89, 0.89);
lg->AddEntry(hExp, "IBD", "LE");
lg->AddEntry(hMC, "MC", "L");
lg->Draw();
}
void PrintHist(const char *filename = "test.root", const char *histname = "histname") {
Init();
TFile *f = new TFile(filename);
TH1D *histo;
histo = (TH1D*)(f->Get(histname));
histo->GetXaxis()->SetTitleSize(0.055);
histo->GetYaxis()->SetTitleSize(0.055);
histo->GetXaxis()->SetLabelSize(0.04);
histo->GetYaxis()->SetLabelSize(0.05);
histo->GetXaxis()->SetTitleOffset(1.15);
histo->GetYaxis()->SetTitleOffset(1.1);
histo->SetTitle("");
histo->SetLineStyle(1);
histo->SetLineWidth(2);
// histo->GetXaxis()->SetTitle("Vcal [low range DAC units]");
// histo->GetYaxis()->SetTitle("PH [ADC units]");
histo->GetXaxis()->SetTitle("par1");
histo->GetYaxis()->SetTitle("# pixels");
// histo->GetXaxis()->SetTitle("position resolution [#mum]");
// histo->GetYaxis()->SetTitle("# pixels");
// histo->GetXaxis()->SetTitle("Vana [DAC units]");
// histo->GetYaxis()->SetTitle("par1");
// histo->GetXaxis()->SetTitle("nChip");
// histo->GetYaxis()->SetTitle("par1");
histo->Draw();
//histo->Draw("colz");
}
void mc2ibd_PPX(char X, TChain *tMC, TFile *fBgnd, TCanvas *cv)
{
char str[1024];
TH1D *hExp;
TH1D *hMC;
TCut cut;
sprintf(str, "hP%cA-diff", X);
hExp = (TH1D *) fBgnd->Get(str);
if (!hExp) {
printf("Histogram hP%cA-diff not found in %s\n", X, fBgnd->GetName());
return;
}
gROOT->cd();
sprintf(str, "hMCPP%c", X);
hMC = new TH1D(str, "MC XYZ", hExp->GetNbinsX(), 0, 100);
sprintf(str, "PositronX[%d]+%4.1f", X - 'X', (X=='Z') ? 0.5 : 2.0);
switch (X) {
case 'X':
cut = cY && "PositronX[0]>=0" && cZ && cR && c20 && cGamma && cGammaMax && cPe && cN;
break;
case 'Y':
cut = cX && "PositronX[1]>=0" && cZ && cR && c20 && cGamma && cGammaMax && cPe && cN;
break;
default:
cut = cX && cY && cR && c20 && cGamma && cGammaMax && cPe && cN;
}
tMC->Project(hMC->GetName(), str, cut);
hMC->Sumw2();
cv->Clear();
hExp->SetLineColor(kBlack);
hExp->SetLineWidth(3);
hMC->SetLineColor(kBlue);
hMC->SetLineWidth(1);
hMC->Scale(hExp->Integral() / hMC->Integral());
hExp->Draw();
hMC->Draw("hist,same");
TLegend *lg = new TLegend(0.5, 0.2, 0.65, 0.35);
lg->AddEntry(hExp, "IBD", "LE");
lg->AddEntry(hMC, "MC", "L");
lg->Draw();
cv->Update();
}
void nu_spect(const std::string& filename) {
TFile* file = new TFile(filename.c_str(), "read");
TTree* tree = NULL;
file->GetObject("MARLEY_event_tree", tree);
if (!tree) {
std::cout << "MARLEY event tree not found" << '\n';
return;
}
marley::Event* ev = new marley::Event;
tree->SetBranchAddress("event", &ev);
size_t num_events = tree->GetEntries();
std::vector<double> E_vec;
for (size_t i = 0; i < num_events; ++i) {
tree->GetEntry(i);
E_vec.push_back(ev->projectile().total_energy());
if (i % 1000 == 0) std::cout << "Event " << i << '\n';
}
double E_max = -1e30;
double E_min = 1e30;
for (size_t k = 0; k < E_vec.size(); ++k) {
double e = E_vec.at(k);
if (e > E_max) E_max = e;
else if (e < E_min) E_min = e;
}
TString title_str;
TH1D* Es = new TH1D("nu_Es", "reacting neutrino spectrum", 100,
E_max, E_min);
for (size_t j = 0; j < E_vec.size(); ++j) {
Es->Fill(E_vec.at(j));
}
TCanvas* c = new TCanvas;
c->cd();
gStyle->SetOptStat();
Es->SetStats(true);
Es->SetLineColor(kBlue);
Es->SetLineWidth(2);
Es->Draw();
//c->SaveAs("nu_Es.pdf");
}
void makeplot(const char *name, TTree *tree, TCut weight, const char *drawstring, const char *xlabel, int nbins, double xlow, double xhigh) {
//this is for NLO with FXFX merging
// TCut mult0 = "LHEEvent.npNLO()==0";
// TCut mult1 = "LHEEvent.npNLO()==1";
// TCut mult2 = "LHEEvent.npNLO()==2";
// TCut mult3 = "LHEEvent.npNLO()==3";
//this is for LO with MLM
TCut mult0 = "GenEvent.nMEPartons()==0";
TCut mult1 = "GenEvent.nMEPartons()==1";
TCut mult2 = "GenEvent.nMEPartons()==2";
TCut mult3 = "GenEvent.nMEPartons()==3";
//this is for LO with MLM (plotting partons after excluding non-matched partons in wbb/vbf type processes)
// TCut mult0 = "GenEvent.nMEPartonsFiltered()==0";
// TCut mult1 = "GenEvent.nMEPartonsFiltered()==1";
// TCut mult2 = "GenEvent.nMEPartonsFiltered()==2";
TH1D *hall = new TH1D(TString::Format("hall_%s",name),"",nbins,xlow,xhigh);
TH1D *hmult0 = new TH1D(TString::Format("hmult0_%s",name),"",nbins,xlow,xhigh);
TH1D *hmult1 = new TH1D(TString::Format("hmult1_%s",name),"",nbins,xlow,xhigh);
TH1D *hmult2 = new TH1D(TString::Format("hmult2_%s",name),"",nbins,xlow,xhigh);
TH1D *hmult3 = new TH1D(TString::Format("hmult3_%s",name),"",nbins,xlow,xhigh);
hmult0->SetLineColor(kBlue);
hmult1->SetLineColor(kRed);
hmult2->SetLineColor(kMagenta);
hmult3->SetLineColor(kGreen+1);
tree->Draw(TString::Format("%s>>%s",drawstring,hall->GetName()),weight,"goff");
tree->Draw(TString::Format("%s>>%s",drawstring,hmult0->GetName()),weight*mult0,"goff");
tree->Draw(TString::Format("%s>>%s",drawstring,hmult1->GetName()),weight*mult1,"goff");
tree->Draw(TString::Format("%s>>%s",drawstring,hmult2->GetName()),weight*mult2,"goff");
tree->Draw(TString::Format("%s>>%s",drawstring,hmult3->GetName()),weight*mult3,"goff");
hall->GetXaxis()->SetTitle(xlabel);
TCanvas* c = new TCanvas(name,name);
c->cd();
hall->SetLineWidth(2);
hall->Draw("EHIST");
hmult0->SetLineWidth(2);
hmult0->Draw("EHISTSAME");
hmult1->SetLineWidth(2);
hmult1->Draw("EHISTSAME");
hmult2->SetLineWidth(2);
hmult2->Draw("EHISTSAME");
hmult3->SetLineWidth(2);
hmult3->Draw("EHISTSAME");
c->SetLogy();
c->SaveAs(TString::Format("%s.pdf",name));
}
void plot(TFile * measurement, const char * mname, TFile * mctruth, const char * mcname)
{
TH1D * mHistogram = (TH1D*) measurement->Get(mname);
TH1D * mcHistogram = (TH1D*) mctruth->Get(mcname);
mHistogram->GetYaxis()->SetRangeUser(0., 1.2);
mcHistogram->GetYaxis()->SetRangeUser(0., 1.2);
mHistogram->SetLineWidth(2);
mcHistogram->SetLineWidth(2);
mcHistogram->SetLineStyle(2);
mcHistogram->SetLineColor(kRed);
mHistogram->Draw();
mcHistogram->Draw("same");
TLegend * legend = new TLegend(0.25, 0.77, 0.6, 0.92);
legend->AddEntry(mHistogram, "Measure", "pl");
legend->AddEntry(mcHistogram, "MCTruth", "l");
legend->Draw();
}
void plotter::draw_output_stat(TH1* output_, TH1* stat_, TH1D* truth_, bool norm, TString file_name){
// std::vector<double> sys = get_sys_errors();
// TH1* output_sys = add_error_bar(output, sys);
TH1* output = (TH1*) output_->Clone("output");
TH1* stat = (TH1*) stat_->Clone("stat");
TH1D* truth = (TH1D*) truth_->Clone("truth");
TCanvas *c = new TCanvas("c","",600,600);
double ymax;
gPad->SetLeftMargin(0.15);
if(truth->GetMaximum() > output->GetMaximum()) ymax = 1.5 * truth->GetMaximum();
else ymax = 1.5 * output->GetMaximum();
TGaxis::SetMaxDigits(3);
output->SetTitle(" ");
output->GetYaxis()->SetRangeUser(0., ymax);
output->GetXaxis()->SetTitle("Leading-jet mass [GeV]");
if(norm) output->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{d#sigma}{dm_{jet}} [#frac{1}{GeV}]");
else output->GetYaxis()->SetTitle("events");
output->GetYaxis()->SetTitleOffset(1.1);
output->GetXaxis()->SetTitleOffset(0.9);
output->GetYaxis()->SetTitleSize(0.05);
output->GetXaxis()->SetTitleSize(0.05);
output->GetYaxis()->SetNdivisions(505);
output->SetLineColor(kBlack);
output->SetMarkerColor(kBlack);
output->SetMarkerStyle(8);
output->SetMarkerSize(1);
output->Draw("E1");
stat->SetLineColor(kBlack);
stat->SetMarkerColor(kBlack);
stat->SetMarkerStyle(8);
stat->SetMarkerSize(1);
gStyle->SetEndErrorSize(5);
truth->SetLineWidth(3);
truth->SetLineColor(kRed);
truth->SetLineStyle(2);
truth->Draw("HIST SAME");
stat->Draw("E1 SAME");
output->Draw("E1 SAME");
TLegend *l=new TLegend(0.5,0.65,0.85,0.85);
l->SetBorderSize(0);
l->SetFillStyle(0);
l->AddEntry(output,"data unfolded","pl");
l->AddEntry(truth,"MC particle level","pl");
l->SetTextSize(0.04);
l->Draw();
c->SaveAs(directory + file_name + ".pdf");
delete c;
}
void plotter::draw_output_smear(std::vector<TH1*> output_, TH1D* truth_, TString file_name){
// std::vector<double> sys = get_sys_errors();
// TH1* output_sys = add_error_bar(output, sys);
std::vector<TH1*> outputs;
for(int i=0; i<output_.size(); i++){
TH1* hist = (TH1*) output_[i]->Clone();
outputs.push_back(hist);
}
TH1D* truth = (TH1D*) truth_->Clone("truth");
TCanvas *c = new TCanvas("c","",600,600);
double ymax;
gPad->SetLeftMargin(0.15);
if(truth->GetMaximum() > outputs[0]->GetMaximum()) ymax = 1.5 * truth->GetMaximum();
else ymax = 1.5 * outputs[0]->GetMaximum();
TGaxis::SetMaxDigits(3);
for(auto output: outputs){
output->SetTitle(" ");
output->GetYaxis()->SetRangeUser(0., ymax);
output->GetXaxis()->SetTitle("Leading-jet mass [GeV]");
output->GetYaxis()->SetTitle("events");
output->GetYaxis()->SetTitleOffset(1.1);
output->GetXaxis()->SetTitleOffset(0.9);
output->GetYaxis()->SetTitleSize(0.05);
output->GetXaxis()->SetTitleSize(0.05);
output->GetYaxis()->SetNdivisions(505);
output->SetLineColor(kBlack);
output->SetMarkerColor(kBlack);
output->SetMarkerStyle(8);
output->SetMarkerSize(1);
output->Draw("E1 SAME");
}
gStyle->SetEndErrorSize(5);
truth->SetLineWidth(3);
truth->SetLineColor(kRed);
truth->SetLineStyle(2);
truth->Draw("HIST SAME");
TLegend *l;
if(truth->GetSize() > 20) l=new TLegend(0.2,0.6,0.4,0.85);
else l=new TLegend(0.5,0.6,0.85,0.85);
l->SetBorderSize(0);
l->SetFillStyle(0);
l->AddEntry(outputs[0],"data unfolded","pl");
l->AddEntry(truth,"MC particle level","pl");
l->SetTextSize(0.04);
l->Draw();
c->SaveAs(directory + file_name + ".pdf");
delete c;
}
TH1D *
GetITSsaSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent, Bool_t cutSpectrum = kTRUE, Bool_t addSystematicError = kTRUE)
{
/* pt limits for combined spectra */
Double_t ptMin[AliPID::kSPECIES] = {0., 0., 0.1, 0.2, 0.3};
Double_t ptMax[AliPID::kSPECIES] = {0., 0., 0.6, 0.5, 0.6};
TList *list = (TList *)file->Get("output");
TH1D *hin = (TH1D *)list->FindObject(Form("h_%s_%s_cen_%d", ITSsaPartName[part], ITSsaChargeName[charge], cent));
if (!hin) return NULL;
/* get systematics */
TFile *fsys = TFile::Open("SPECTRASYS_ITSsa.root");
TH1 *hsys = fsys->Get(Form("hSystTot%s%s", ITSsaChargeName[charge], ITSsaPartName[part]));
TH1D *h = new TH1D(Form("hITSsa_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "ITSsa", NptBins, ptBin);
Double_t pt, width, value, error, sys;
Int_t bin;
for (Int_t ipt = 0; ipt < NptBins; ipt++) {
/* get input bin */
pt = h->GetBinCenter(ipt + 1);
width = h->GetBinWidth(ipt + 1);
bin = hin->FindBin(pt);
/* sanity check */
if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
continue;
/* check pt limits */
if (cutSpectrum && (pt < ptMin[part] || pt > ptMax[part])) continue;
/* copy bin */
value = hin->GetBinContent(bin);
error = hin->GetBinError(bin);
/*** TEMP ADD SYS ***/
if (addSystematicError) {
sys = hsys->GetBinContent(bin) * value;
error = TMath::Sqrt(error * error + sys * sys);
}
h->SetBinContent(ipt + 1, value);
h->SetBinError(ipt + 1, error);
}
h->SetTitle("ITSsa");
h->SetLineWidth(1);
h->SetLineColor(1);
h->SetMarkerStyle(20);
h->SetMarkerColor(1);
h->SetFillStyle(0);
h->SetFillColor(0);
return h;
}
void compare(){
TFile *fileJian=new TFile("InputsPurdue/PromptRAA_D0_PbPb_spectrum_fonll_effunpre_cent0to100_ptbin12_y1_dataplusfonll.root");
TFile *fileRawJian=new TFile("InputsPurdue/Dspectrum_pbpb_data_ptbin_14_ptd_unpreMBtrig_0_cent0to100_y1.root");
TH1D *hspectrumJian = (TH1D*)fileJian->Get("D0_pbpb_spectrum");
TH1D *rawJian = (TH1D*)fileRawJian->Get("N_mb_expobkg_count");
hspectrumJian->Scale(5.67*1e-9);
TFile *fileMIT=new TFile("InputsMIT/alphaD0.root");
TH1D *hspectrumMIT = (TH1D*)fileMIT->Get("hPtCor");
TH1D *hrawMIT = (TH1D*)fileMIT->Get("hPt");
hspectrumMIT->Scale(0.90*1./(2*0.0388*3.01781340000000000e+07));
TCanvas*c=new TCanvas("c","",500,500);
c->cd();
c->SetLogy();
hspectrumMIT->Draw();
hspectrumMIT->SetLineWidth(4);
hspectrumJian->Draw("same");
TFile*fEffJian=new TFile("InputsPurdue/D0_PbPb_acc_eff_ptbin_14_ybin_6_prompt_FONLLweight_cent-0to100_dataptshape_y1_Ncollweight1.root");
TH1D *EffJian = (TH1D*)fEffJian->Get("d0accxeff_pt");
TH1D *EffMIT = (TH1D*)fileMIT->Get("hEff");
cout<<"bin center MIT"<<EffMIT->GetBinCenter(1)<<"GeV, efficiency="<<EffMIT->GetBinContent(1)<<endl;
cout<<"bin center Jian"<<EffJian->GetBinCenter(4)<<"GeV, efficiency="<<EffJian->GetBinContent(4)<<endl;
cout<<"bin center MIT"<<hrawMIT->GetBinCenter(1)<<"GeV, raws="<<hrawMIT->GetBinContent(1)<<endl;
cout<<"bin center Jian"<<rawJian->GetBinCenter(4)<<"GeV, raws="<<rawJian->GetBinContent(4)<<endl;
cout<<"*************"<<endl;
cout<<"bin center MIT"<<EffMIT->GetBinCenter(7)<<"GeV, efficiency="<<EffMIT->GetBinContent(7)<<endl;
cout<<"bin center Jian"<<EffJian->GetBinCenter(10)<<"GeV, efficiency="<<EffJian->GetBinContent(10)<<endl;
cout<<"bin center MIT"<<hrawMIT->GetBinCenter(7)<<"GeV, raws="<<hrawMIT->GetBinContent(7)<<endl;
cout<<"bin center Jian"<<rawJian->GetBinCenter(10)<<"GeV, raws="<<rawJian->GetBinContent(10)<<endl;
for (int i=1;i<11;i++){
cout<<"pt centre="<<EffJian->GetBinCenter(i+3)<<",value="<<hspectrumMIT->GetBinContent(i)/hspectrumJian->GetBinContent(i+3)<<endl;
}
}
TH1D *
GetITSTPCSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent)
{
TList *list = (TList *)file->Get("output");
TH1D *hin = (TH1D *)list->FindObject(Form("h_%s_%s_cen_%d", ITSTPCPartName[part], ITSTPCChargeName[charge], cent + 1));
if (!hin) return NULL;
TH1D *h = new TH1D(Form("hITSTPC_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "ITSTPC", NptBins, ptBin);
Double_t pt, width, value, error;
Int_t bin;
for (Int_t ipt = 0; ipt < NptBins; ipt++) {
/* get input bin */
pt = h->GetBinCenter(ipt + 1);
width = h->GetBinWidth(ipt + 1);
bin = hin->FindBin(pt);
/* sanity check */
if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
continue;
/* copy bin */
value = hin->GetBinContent(bin);
error = hin->GetBinError(bin);
h->SetBinContent(ipt + 1, value);
h->SetBinError(ipt + 1, error);
}
#if 0
/* add systematic error */
Double_t sys;
if (part == 2) sys = 0.5;
else sys = 0.1;
Double_t cont, conte;
for (Int_t ipt = 0; ipt < h->GetNbinsX(); ipt++) {
cont = h->GetBinContent(ipt + 1);
conte = h->GetBinError(ipt + 1);
conte = TMath::Sqrt(conte * conte + sys * sys * cont * cont);
h->SetBinError(ipt + 1, conte);
}
#endif
h->SetTitle("ITSTPC");
h->SetLineWidth(1);
h->SetLineColor(1);
h->SetMarkerStyle(21);
h->SetMarkerColor(2);
h->SetFillStyle(0);
h->SetFillColor(0);
return h;
}
TH1D* GetDiff(TH1D* hEM,TH1D* hME,double xmin, double xmax)
{
TH1D* diff = (TH1D*)hEM->Clone("diff");
diff->Add(hME,-1);
diff->GetYaxis()->SetTitle("Diff"); diff->GetYaxis()->SetTitleSize(0.1);
diff->GetYaxis()->SetTitleOffset(0.3);
diff->GetYaxis()->CenterTitle();
diff->GetXaxis()->SetRangeUser(xmin,xmax); diff->SetLineColor(kBlack);
diff->GetYaxis()->SetLabelSize(0.08);
diff->SetLineWidth(2); diff->SetMarkerStyle(8); diff->SetMarkerSize(0.7);
diff->SetMarkerColor(kBlack);
diff->GetXaxis()->SetTitle("M_{coll} (GeV)"); diff->GetXaxis()->SetTitleSize(0.15);
diff->GetXaxis()->SetTitleOffset(0.8);
diff->GetXaxis()->SetLabelOffset();
diff->GetXaxis()->SetLabelSize(0.1);
return diff;
}
// Draw 1D histos
TH1D *plot1Dhisto(double intLumi,TFile *fileName,TString folderName,TString histoName,int color,int rebin,float xMin,float xMax,TString xName, TString yName,TString sampleName,bool mc) {
TH1D *hTemp = (TH1D*)fileName->Get(folderName+"/"+histoName);
hTemp->SetName(histoName+"_"+sampleName);
if (mc){
hTemp->Scale(intLumi/100.);
}
hTemp->Rebin(rebin);
hTemp->SetLineColor(color);
hTemp->SetLineWidth(5);
hTemp->GetXaxis()->SetRangeUser(xMin,xMax);
hTemp->GetXaxis()->SetTitle(xName);
hTemp->GetXaxis()->SetTitleSize(0.06);
hTemp->GetXaxis()->SetLabelSize(0.06);
hTemp->GetYaxis()->SetTitle(yName);
hTemp->GetYaxis()->SetTitleSize(0.06);
hTemp->GetYaxis()->SetLabelSize(0.06);
hTemp->SetTitleOffset(1.5, "Y");
// last/first bin: put over/underflow
hTemp->SetBinContent(hTemp->FindBin(xMax),hTemp->Integral(hTemp->FindBin(xMax),hTemp->GetNbinsX()+1));
hTemp->SetBinContent(hTemp->FindBin(xMin),hTemp->Integral(-1,hTemp->FindBin(xMin)));
hTemp->SetBinError(hTemp->FindBin(xMax),sqrt(hTemp->Integral(hTemp->FindBin(xMax),hTemp->GetNbinsX()+1)));
hTemp->SetBinError(hTemp->FindBin(xMin),sqrt(hTemp->Integral(-1,hTemp->FindBin(xMin))));
//fileName->Close();
/*
if (histoName != "LP_tot") {
if (histoName != "SumLepPt_tot") {
if ((folderName == "ANplots150_NOLP")) { hTemp->GetXaxis()->SetRangeUser(0.,300.); }
if ((folderName == "ANplots250_NOLP")) { hTemp->GetXaxis()->SetRangeUser(0.,400.); }
if ((folderName == "ANplots350_NOLP")) { hTemp->GetXaxis()->SetRangeUser(0.,500.); }
if ((folderName == "ANplots450_NOLP")) { hTemp->GetXaxis()->SetRangeUser(0.,1000.); }
}
else {
if ((folderName == "ANplots150_NOLP")) { hTemp->GetXaxis()->SetRangeUser(100.,300.); }
if ((folderName == "ANplots250_NOLP")) { hTemp->GetXaxis()->SetRangeUser(200.,400.); }
if ((folderName == "ANplots350_NOLP")) { hTemp->GetXaxis()->SetRangeUser(300.,500.); }
if ((folderName == "ANplots450_NOLP")) { hTemp->GetXaxis()->SetRangeUser(400.,1000.); }
}
}
*/
return hTemp;
} // ~ end of plot1Dhisto function
TH1D *HistoRatio (TH1D *hisNum, TH1D *hisDen){
//Graph Ratio Clone
TH1D *Ratio;
Ratio = (TH1D*)hisNum->Clone();
Ratio->Divide(hisDen);
for(int ibin=1;ibin<=Ratio->GetNbinsX();ibin++) {
if (Ratio->GetBinContent(ibin) == 0.0 ) {
Ratio->SetBinContent(ibin, 1.0);
Ratio->SetBinError(ibin, 0.0);
}
}
Ratio->SetFillColor(0);
Ratio->SetLineColor(kGray+2);
// Ratio->SetLineColor(kMagenta-5);
Ratio->SetLineWidth(1);
Ratio->SetTitle("");
Ratio->GetYaxis()->SetTitle("Obs/Exp");
Ratio->GetYaxis()->CenterTitle();
Ratio->GetYaxis()->SetTitleFont(42);
Ratio->GetYaxis()->SetTitleSize(0.135);
Ratio->GetYaxis()->SetTitleOffset(0.28);
Ratio->GetYaxis()->SetLabelFont(42);
Ratio->GetYaxis()->SetLabelSize(0.115);
Ratio->GetYaxis()->SetNdivisions(402);
Ratio->GetXaxis()->SetTitle("CSVv2 bin");
Ratio->GetXaxis()->SetNdivisions(509); //(402)
Ratio->GetXaxis()->SetTitleOffset(1.1);
Ratio->GetXaxis()->SetTitleFont(42);
Ratio->GetXaxis()->SetTitleSize(0.16);
Ratio->GetXaxis()->SetTitleFont(42);
Ratio->GetXaxis()->SetLabelSize(0.14);
Ratio->SetMinimum(0.4);
Ratio->SetMaximum(1.6);
return Ratio;
}
TH1D *plotIso(TTree *tSig,TString var,TString weight, TString etcut, TString htcut, TString njetcut, TString ph, TString bin,Double_t xmax, Int_t icol)
{
TCut etcut20=weight+" * ("+etcut+htcut+" && "+njetcut+")";
TCut conv1=weight+" * ("+etcut+htcut+" &&"+njetcut+" && mHits<=1)";
TCut conv2=weight+" * ("+etcut+htcut+" && "+njetcut+"&& mHits<=1)";
TCut conv3=weight+" * ("+etcut+htcut+" && "+njetcut+"&& mHits<=1 && (dcot>0.02 || dcot<-0.02 || dist>0.02 || dist<-0.02))";
TCanvas *c = getaCanvas(ph+var+etcut+htcut+"hsqrti");
tSig->Draw(var+">>hsqrti"+bin,conv3);
TH1D *hsqrt = (TH1D*)gDirectory->Get("hsqrti");
hsqrt->SetName(ph+var+htcut+"hsqrti");
hsqrt->SetLineColor(icol);
hsqrt->SetLineWidth(3);
c->Close();
return hsqrt;
}
TCanvas* Com(TString plot,TString plot_dir,UInt_t rbin, TString xtitle, Double_t max, TString title){
gROOT->SetStyle("Plain");
gStyle->SetTitleFontSize(0.07);
TH1D *Sig = ((TH1D*)Sig->Get(plot_dir+"/"+plot))->Clone();
TH1D *Bkgd= ((TH1D*)Bkgd->Get(plot_dir+"/"+plot))->Clone();
Sig->Rebin(rbin);
Bkgd->Rebin(rbin);
Sig->Scale(1/(Sig->Integral()));
Bkgd->Scale(1/(Bkgd->Integral()));
//TLine *li =new TLine(0.55,0.,0.55,100000);
TCanvas* c = new TCanvas(plot_dir+plot,plot_dir+plot);
c->SetLogy();
TLegend *leg = new TLegend(0.5,0.8,0.99,0.99);
leg->SetFillColor(0);
leg->AddEntry(Sig,"Selected events","L");
leg->AddEntry(Bkgd,"Anti-selected events","L");
Sig->SetLineColor(kRed);
Sig->SetLineWidth(2);
Bkgd->SetLineColor(kBlue);
Bkgd->SetLineWidth(2);
Sig->Draw("EHIST");
Bkgd->Draw("HISTSAME");
leg->Draw("SAME");
// li->Draw("SAME");
Sig->SetTitle(title);
Sig->SetStats(kFALSE);
Sig->GetXaxis()->SetTitle(xtitle);
if (max == 999999){
}
else{
Sig->GetXaxis()->SetRangeUser(0.2,max);}
Sig->GetYaxis()->SetTitle("");
c->Update();
c->SaveAs(saving+"IDinv_Delta_"+plot_dir+plot+".png");
return c;
}
TH1D *
GetTPCTOFSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent, Bool_t cutSpectrum = kTRUE)
{
/* pt limits for combined spectra */
Double_t ptMin[AliPID::kSPECIES] = {0., 0., 0., 0., 0.};
Double_t ptMax[AliPID::kSPECIES] = {0., 0., 1.2, 1.2, 1.8};
TH1D *hin = (TH1D *)file->Get(Form("%sFinal%s%d", TPCTOFPartName[part], TPCTOFChargeName[charge], cent));
if (!hin) return NULL;
TH1D *h = new TH1D(Form("hTPCTOF_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "TPCTOF", NptBins, ptBin);
Double_t pt, width, value, error;
Int_t bin;
for (Int_t ipt = 0; ipt < NptBins; ipt++) {
/* get input bin */
pt = h->GetBinCenter(ipt + 1);
width = h->GetBinWidth(ipt + 1);
bin = hin->FindBin(pt);
/* sanity check */
if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
continue;
/* check pt limits */
if (cutSpectrum && (pt < ptMin[part] || pt > ptMax[part])) continue;
/* copy bin */
value = hin->GetBinContent(bin);
error = hin->GetBinError(bin);
h->SetBinContent(ipt + 1, value);
h->SetBinError(ipt + 1, error);
}
h->SetTitle("TPCTOF");
h->SetLineWidth(1);
h->SetLineColor(1);
h->SetMarkerStyle(22);
h->SetMarkerColor(8);
h->SetFillStyle(0);
h->SetFillColor(0);
return h;
}
TH1D *create1Dhisto(TTree *tree,TString intLumi,TString cuts,TString branch,int bins,float xmin,float xmax,bool useLog) {
TH1::SetDefaultSumw2(kTRUE);
// TString cut ="(wgt*"+intLumi+")*("+cuts+")";
TString cut ="("+intLumi+")*("+cuts+")";
TH1D *hTemp = new TH1D("hTemp","hTemp",bins,xmin,xmax);
tree->Project("hTemp",branch,cut);
if (useLog) {
hTemp->GetYaxis()->SetRangeUser(0.1,50.*(hTemp->GetBinContent(hTemp->GetMaximumBin())));
}
else if (!useLog) {
hTemp->GetYaxis()->SetRangeUser(0.,2.*(hTemp->GetBinContent(hTemp->GetMaximumBin())));
}
hTemp->SetLineWidth(3);
hTemp->GetXaxis()->SetTitle(branch);
return hTemp;
} //~ end of create1Dhisto
TH1D* GetRatio(TH1D* hEM,TH1D* hME,double xmin, double xmax)
{
TH1D* ratio = (TH1D*)hEM->Clone("ratio");
ratio->Divide(hME);
// ratio->GetYaxis()->SetTitle("Ratio"); //ratio->SetTitleFont(64);
ratio->GetYaxis()->SetTitle("Ratio"); ratio->GetYaxis()->SetTitleSize(0.1);
ratio->GetYaxis()->SetTitleOffset(0.3);
ratio->GetYaxis()->CenterTitle();
// ratio->SetTitleSize(0.1);
ratio->GetXaxis()->SetRangeUser(xmin,xmax); ratio->SetLineColor(kBlack);
ratio->GetYaxis()->SetRangeUser(0,2);
ratio->SetLineWidth(2); ratio->SetMarkerStyle(8); ratio->SetMarkerSize(0.7);
ratio->SetMarkerColor(kBlack);
ratio->GetXaxis()->SetTitle("M_{coll} (GeV)"); ratio->GetXaxis()->SetTitleSize(0.15);
ratio->GetXaxis()->SetTitleOffset(0.8);
ratio->GetXaxis()->SetLabelOffset();
ratio->GetYaxis()->SetLabelSize(0.1);
ratio->GetYaxis()->SetNdivisions(5);
ratio->GetXaxis()->SetLabelSize(0.1);
ratio->GetXaxis()->SetRangeUser(xmin,xmax);
for (int i=1; i<=hEM->GetXaxis()->FindBin(99); i++){
double n = hEM->GetBinContent(i);
double m = hME->GetBinContent(i);
double deltaN = hEM->GetBinError(i);
double deltaM = hME->GetBinError(i);
double err = (1./m)*TMath::Sqrt(TMath::Power(deltaN,2)+TMath::Power(n*deltaM/m,2));
ratio->SetBinError(i,err);
}
for (int i=hEM->GetXaxis()->FindBin(151); i<=hEM->GetXaxis()->GetNbins(); i++){
double n = hEM->GetBinContent(i);
double m = hME->GetBinContent(i);
double deltaN = hEM->GetBinError(i);
double deltaM = hME->GetBinError(i);
double err = (1./m)*TMath::Sqrt(TMath::Power(deltaN,2)+TMath::Power(n*deltaM/m,2));
ratio->SetBinError(i,err);
}
return ratio;
}
// -- Draw 1D histos
TH1D *plot1Dhisto(double intLumi,TFile *fileName,TString folderName,TString histoName,int color,int rebin,float xMin,float xMax,TString xName, TString yName,TString sampleName,bool mc) {
TH1D *hTemp = (TH1D*)fileName->Get(folderName+"/"+histoName); hTemp->SetName(histoName+"_"+sampleName);
// hTemp->Sumw2();
if (mc) { hTemp->Scale(intLumi/100.); }
hTemp->Rebin(rebin);
hTemp->SetLineColor(color);
hTemp->SetLineWidth(3);
hTemp->GetXaxis()->SetRangeUser(xMin,xMax);
hTemp->GetXaxis()->SetTitle(xName);
hTemp->GetYaxis()->SetTitle(yName);
// last bin: put put overflow
hTemp->SetBinContent(hTemp->FindBin(xMax),hTemp->Integral(hTemp->FindBin(xMax),hTemp->GetNbinsX()+1));
// cout << "Nbins=" << hTemp->GetNbinsX() << "\n";
return hTemp;
} // ~ end of plot1Dhisto function
TCanvas* plotHistswSomeUncAndAbsUncertainty(std::vector<TH1D*> fit_func_list, TH1D* baseHist, TString title="", TString xTitle="", TString yTitle="", TH1D* pt_uncertainty_band=0) {
int numberOfFitFuncs = fit_func_list.size();
if (numberOfFitFuncs>5) {
cout << "Too many histograms for numerator (currently only supports up to 5)" << endl;
exit;
}
if (!baseHist) {
cout << "baseHist provided does not exist" << endl;
exit;
}
//*************************************************
// Variables
bool topPlotLogY = 0; // 0 = no log; 1= log
TString yTitle2 = "ratio"; // bottom plot y axis title
std::vector<int> histColors;
histColors.push_back(kBlue); // change colors as you like
histColors.push_back(kRed);
histColors.push_back(kGreen-1);
histColors.push_back(8);
histColors.push_back(33);
// histColors.push_back(kGreen-1);
std::vector<int> fillStyles;
fillStyles.push_back(3002);
fillStyles.push_back(3004);
// fillStyles.push_back(3305);
// fillStyles.push_back(3490);
fillStyles.push_back(3004);
fillStyles.push_back(3005);
fillStyles.push_back(3006);
std::vector<int> good_markers;
good_markers.push_back(20);
good_markers.push_back(25);
good_markers.push_back(21);
good_markers.push_back(24);
good_markers.push_back(22);
good_markers.push_back(26);
good_markers.push_back(29);
good_markers.push_back(30);
good_markers.push_back(23);
good_markers.push_back(28);
good_markers.push_back(34);
int histDenominatorColor = kBlack;
float defaultRatioYmin = 1.02;
float defaultRatioYmax = 0.60;
// END of Variables
//*************************************************
setTDRStyle();
TCanvas* c = new TCanvas("c","",600,600);
TH1D* baseHistogram = (TH1D*)baseHist->Clone();
// Create ratio histograms
std::vector<TH1D*> hists_with_fitted_uncertainties;
for (int i=0; i<numberOfFitFuncs; i++) {
//// hists_with_fitted_uncertainties.push_back( (TH1D*)fit_func_list.at(i)->Clone() );
// hists_with_fitted_uncertainties.push_back( (TH1D*)baseHist->Clone() );
// hists_with_fitted_uncertainties[i]->GetTitle();
// for(unsigned int bin_i=1;bin_i<= hists_with_fitted_uncertainties[i]->GetNbinsX();bin_i++){
// //Get uncertainty from fitted function
// Double_t x_bc=baseHist->GetBinCenter(bin_i);
// Double_t uncertainty=fit_func_list.at(i)->Eval(x_bc);
// hists_with_fitted_uncertainties[i]->SetBinError(bin_i,uncertainty);
// }
hists_with_fitted_uncertainties.push_back( (TH1D*)baseHist->Clone() );
hists_with_fitted_uncertainties[i]->GetTitle();
for(unsigned int bin_i=1;bin_i<= hists_with_fitted_uncertainties[i]->GetNbinsX();bin_i++){
Double_t uncertainty=fit_func_list.at(i)->GetBinContent(bin_i);
hists_with_fitted_uncertainties[i]->SetBinError(bin_i,uncertainty);
}
}
for(unsigned int bin_i=1;bin_i<= baseHist->GetNbinsX();bin_i++){
Double_t uncertainty= pt_uncertainty_band->GetBinError(bin_i)*baseHist->GetBinContent(bin_i);
pt_uncertainty_band->SetBinError(bin_i,uncertainty);
pt_uncertainty_band->SetBinContent(bin_i,baseHist->GetBinContent(bin_i));
}
TH1D* abs_uncertainty_otf = (TH1D*)baseHist->Clone();
for(unsigned int bin_i=1;bin_i<= abs_uncertainty_otf->GetNbinsX();bin_i++){
Double_t sum_x2=0;
for (int i=0; i<numberOfFitFuncs; i++) {
sum_x2+=TMath::Power(hists_with_fitted_uncertainties[i]->GetBinError(bin_i),2);
}
abs_uncertainty_otf->SetBinError(bin_i,TMath::Sqrt(sum_x2));
}
abs_uncertainty_otf->SetFillStyle(3001);
abs_uncertainty_otf->SetFillColor(kGray);
abs_uncertainty_otf->SetMarkerStyle(1);
baseHistogram->SetLineWidth(2);
baseHistogram->SetLineColor(histDenominatorColor);
baseHistogram->SetMarkerColor(histDenominatorColor);
baseHistogram->Draw();
abs_uncertainty_otf->Draw("same e3");
pt_uncertainty_band->Draw("same e3");
baseHistogram->Draw("same");
// baseHistogram->SetLabelSize(0.0);
// // baseHistogram->GetYaxis()->SetNdivisions(10);
// baseHistogram->GetYaxis()->SetRangeUser(0.95,1.25);
// baseHistogram->GetXaxis()->SetTitleSize(0.00);
// baseHistogram->GetYaxis()->SetLabelSize(0.07);
// baseHistogram->GetYaxis()->SetTitleSize(0.08);
// baseHistogram->GetYaxis()->SetTitleOffset(0.76);
baseHistogram->SetTitle(title+";"+xTitle+";"+yTitle);
//
for (int i=0; i<numberOfFitFuncs; i++) {
hists_with_fitted_uncertainties[i]->SetLineWidth(2);
hists_with_fitted_uncertainties[i]->SetLineColor(histColors[i]);
hists_with_fitted_uncertainties[i]->SetFillColor(histColors[i]);
hists_with_fitted_uncertainties[i]->SetFillStyle(fillStyles[i]);
hists_with_fitted_uncertainties[i]->SetMarkerColor(histColors[i]);
// hists_with_fitted_uncertainties[i]->SetMarkerStyle(good_markers[i+1]);
hists_with_fitted_uncertainties[i]->SetMarkerStyle(1);
hists_with_fitted_uncertainties[i]->Draw("same e3");
}
c->SetLogy(topPlotLogY);
return c;
}
void MCtoSTATerrors() {
TLatex *tplus = labelLatex(0.1364943,0.8114407,"MC sample");
TFile *file0 = TFile::Open("results/StandardCutflow/allmc.root");
TCanvas *c1 = new TCanvas();
//TCanvas *c2 = new TCanvas();
TH1D * LPplus = (TH1D*)file0->Get("RECO_PolPlots_50toinf/RECO_ICVarPFPlus");
TH1D * LPminus = (TH1D*)file0->Get("RECO_PolPlots_50toinf/RECO_ICVarPFMinus");
LPplus->Rebin(20);
LPminus->Rebin(20);
LPplus->Scale(0.3);
LPminus->Scale(0.3);
TH1D * newLPplus = (TH1D*)LPplus->Clone();
TH1D * newLPminus = (TH1D*)LPminus->Clone();
for(unsigned int i=1; i < LPplus->GetXaxis()->GetNbins(); i++) {
newLPplus->SetBinError(i, TMath::Sqrt(LPplus->GetBinContent(i)));
newLPminus->SetBinError(i, TMath::Sqrt(LPminus->GetBinContent(i)));
}
c1->cd();
newLPplus->GetYaxis()->SetTitle("Events / 300 nb^{-1}");
//newLPplus->GetXaxis()->SetTitle("LP(#mu^{+})");
newLPplus->GetXaxis()->SetTitle("LP(#mu)");
newLPplus->GetXaxis()->SetRangeUser(-1.0,2.0);
newLPplus->SetLineWidth(3);
newLPplus->SetLineStyle(2);
newLPplus->SetLineColor(kRed);
newLPplus->DrawCopy();
tplus->DrawClone("same");
// c2->cd();
// newLPminus->GetYaxis()->SetTitle("Events / 100 nb^{-1}");
// newLPminus->GetXaxis()->SetTitle("LP(#mu^{-})");
newLPminus->SetLineWidth(3);
newLPminus->SetLineStyle(2);
newLPminus->SetLineColor(kBlack);
newLPminus->DrawCopy("same");
// tplus->DrawClone("same");
leg = new TLegend(0.762931,0.720339,0.8649425,0.8622881,NULL,"brNDC");
leg->AddEntry(newLPplus,"#mu^{+}","l");
leg->AddEntry(newLPminus,"#mu^{-}","l");
leg->SetFillColor(kWhite);
leg->SetBorderSize(0);
leg->SetTextFont(62);
leg->DrawClone();
file0->Close();
return;
}