void makePlot(double canvasSizeX, double canvasSizeY,
TH1* histogramTTH,
TH1* histogramData,
TH1* histogramTT,
TH1* histogramTTV,
TH1* histogramEWK,
TH1* histogramRares,
TH1* histogramBgrSum,
TH1* histogramBgrUncertainty,
const std::string& xAxisTitle, double xAxisOffset,
bool useLogScale, double yMin, double yMax, const std::string& yAxisTitle, double yAxisOffset,
const std::string& outputFileName)
{
TH1* histogramTTH_density = 0;
if ( histogramTTH ) {
if ( histogramData ) checkCompatibleBinning(histogramTTH, histogramData);
histogramTTH_density = divideHistogramByBinWidth(histogramTTH);
}
TH1* histogramData_density = 0;
if ( histogramData ) {
histogramData_density = divideHistogramByBinWidth(histogramData);
}
TH1* histogramTT_density = 0;
if ( histogramTT ) {
if ( histogramData ) checkCompatibleBinning(histogramTT, histogramData);
histogramTT_density = divideHistogramByBinWidth(histogramTT);
}
TH1* histogramTTV_density = 0;
if ( histogramTTV ) {
if ( histogramData ) checkCompatibleBinning(histogramTTV, histogramData);
histogramTTV_density = divideHistogramByBinWidth(histogramTTV);
}
TH1* histogramEWK_density = 0;
if ( histogramEWK ) {
if ( histogramData ) checkCompatibleBinning(histogramEWK, histogramData);
histogramEWK_density = divideHistogramByBinWidth(histogramEWK);
}
TH1* histogramRares_density = 0;
if ( histogramRares ) {
if ( histogramData ) checkCompatibleBinning(histogramRares, histogramData);
histogramRares_density = divideHistogramByBinWidth(histogramRares);
}
TH1* histogramBgrSum_density = 0;
if ( histogramBgrSum ) {
if ( histogramData ) checkCompatibleBinning(histogramBgrSum, histogramData);
histogramBgrSum_density = divideHistogramByBinWidth(histogramBgrSum);
}
TH1* histogramBgrUncertainty_density = 0;
if ( histogramBgrUncertainty ) {
if ( histogramData ) checkCompatibleBinning(histogramBgrUncertainty, histogramData);
histogramBgrUncertainty_density = divideHistogramByBinWidth(histogramBgrUncertainty);
}
TCanvas* canvas = new TCanvas("canvas", "", canvasSizeX, canvasSizeY);
canvas->SetFillColor(10);
canvas->SetFillStyle(4000);
canvas->SetFillColor(10);
canvas->SetTicky();
canvas->SetBorderSize(2);
canvas->SetLeftMargin(0.12);
canvas->SetBottomMargin(0.12);
TPad* topPad = new TPad("topPad", "topPad", 0.00, 0.35, 1.00, 1.00);
topPad->SetFillColor(10);
topPad->SetTopMargin(0.065);
topPad->SetLeftMargin(0.15);
topPad->SetBottomMargin(0.03);
topPad->SetRightMargin(0.05);
topPad->SetLogy(useLogScale);
TPad* bottomPad = new TPad("bottomPad", "bottomPad", 0.00, 0.00, 1.00, 0.35);
bottomPad->SetFillColor(10);
bottomPad->SetTopMargin(0.02);
bottomPad->SetLeftMargin(0.15);
bottomPad->SetBottomMargin(0.31);
bottomPad->SetRightMargin(0.05);
bottomPad->SetLogy(false);
canvas->cd();
topPad->Draw();
topPad->cd();
TAxis* xAxis_top = histogramData_density->GetXaxis();
xAxis_top->SetTitle(xAxisTitle.data());
xAxis_top->SetTitleOffset(xAxisOffset);
xAxis_top->SetLabelColor(10);
xAxis_top->SetTitleColor(10);
TAxis* yAxis_top = histogramData_density->GetYaxis();
yAxis_top->SetTitle(yAxisTitle.data());
yAxis_top->SetTitleOffset(yAxisOffset);
yAxis_top->SetTitleSize(0.085);
yAxis_top->SetLabelSize(0.05);
yAxis_top->SetTickLength(0.04);
TLegend* legend = new TLegend(0.66, 0.45, 0.94, 0.92, NULL, "brNDC");
legend->SetFillStyle(0);
legend->SetBorderSize(0);
legend->SetFillColor(10);
legend->SetTextSize(0.055);
histogramData_density->SetTitle("");
histogramData_density->SetStats(false);
histogramData_density->SetMaximum(yMax);
histogramData_density->SetMinimum(yMin);
histogramData_density->SetMarkerStyle(20);
histogramData_density->SetMarkerSize(2);
histogramData_density->SetMarkerColor(kBlack);
histogramData_density->SetLineColor(kBlack);
legend->AddEntry(histogramData_density, "Observed", "p");
histogramData_density->Draw("ep");
legend->AddEntry(histogramTTH_density, "t#bar{t}H", "l");
histogramTT_density->SetTitle("");
histogramTT_density->SetStats(false);
histogramTT_density->SetMaximum(yMax);
histogramTT_density->SetMinimum(yMin);
histogramTT_density->SetFillColor(kMagenta - 10);
legend->AddEntry(histogramTT_density, "t#bar{t}+jets", "f");
histogramTTV_density->SetFillColor(kOrange - 4);
legend->AddEntry(histogramTTV_density, "t#bar{t}+V", "f");
histogramEWK_density->SetFillColor(kRed + 2);
legend->AddEntry(histogramEWK_density, "EWK", "f");
histogramRares_density->SetFillColor(kBlue - 8);
legend->AddEntry(histogramRares_density, "Rares", "f");
THStack* histogramStack_density = new THStack("stack", "");
histogramStack_density->Add(histogramRares_density);
histogramStack_density->Add(histogramEWK_density);
histogramStack_density->Add(histogramTTV_density);
histogramStack_density->Add(histogramTT_density);
histogramStack_density->Draw("histsame");
histogramBgrUncertainty_density->SetFillColor(kBlack);
histogramBgrUncertainty_density->SetFillStyle(3344);
histogramBgrUncertainty_density->Draw("e2same");
legend->AddEntry(histogramBgrUncertainty_density, "Uncertainty", "f");
histogramTTH_density->SetLineWidth(2);
histogramTTH_density->SetLineStyle(1);
histogramTTH_density->SetLineColor(kBlue);
histogramTTH_density->Draw("histsame");
histogramData_density->Draw("epsame");
histogramData_density->Draw("axissame");
legend->Draw();
addLabel_CMS_luminosity(0.2050, 0.9225, 0.6850);
canvas->cd();
bottomPad->Draw();
bottomPad->cd();
TH1* histogramRatio = (TH1*)histogramData->Clone("histogramRatio");
histogramRatio->Reset();
if ( !histogramRatio->GetSumw2N() ) histogramRatio->Sumw2();
checkCompatibleBinning(histogramRatio, histogramBgrSum);
histogramRatio->Divide(histogramData, histogramBgrSum);
int numBins_bottom = histogramRatio->GetNbinsX();
for ( int iBin = 1; iBin <= numBins_bottom; ++iBin ) {
double binContent = histogramRatio->GetBinContent(iBin);
if ( histogramData && histogramData->GetBinContent(iBin) >= 0. ) histogramRatio->SetBinContent(iBin, binContent - 1.0);
else histogramRatio->SetBinContent(iBin, -10.);
}
histogramRatio->SetTitle("");
histogramRatio->SetStats(false);
histogramRatio->SetMinimum(-0.50);
histogramRatio->SetMaximum(+0.50);
histogramRatio->SetMarkerStyle(histogramData_density->GetMarkerStyle());
histogramRatio->SetMarkerSize(histogramData_density->GetMarkerSize());
histogramRatio->SetMarkerColor(histogramData_density->GetMarkerColor());
histogramRatio->SetLineColor(histogramData_density->GetLineColor());
histogramRatio->Draw("ep");
TAxis* xAxis_bottom = histogramRatio->GetXaxis();
xAxis_bottom->SetTitle(xAxis_top->GetTitle());
xAxis_bottom->SetLabelColor(1);
xAxis_bottom->SetTitleColor(1);
xAxis_bottom->SetTitleOffset(1.20);
xAxis_bottom->SetTitleSize(0.13);
xAxis_bottom->SetLabelOffset(0.02);
xAxis_bottom->SetLabelSize(0.10);
xAxis_bottom->SetTickLength(0.055);
TAxis* yAxis_bottom = histogramRatio->GetYaxis();
yAxis_bottom->SetTitle("#frac{Data - Simulation}{Simulation}");
yAxis_bottom->SetTitleOffset(0.80);
yAxis_bottom->SetNdivisions(505);
yAxis_bottom->CenterTitle();
yAxis_bottom->SetTitleSize(0.09);
yAxis_bottom->SetLabelSize(0.10);
yAxis_bottom->SetTickLength(0.04);
TH1* histogramRatioUncertainty = (TH1*)histogramBgrUncertainty->Clone("histogramRatioUncertainty");
if ( !histogramRatioUncertainty->GetSumw2N() ) histogramRatioUncertainty->Sumw2();
checkCompatibleBinning(histogramRatioUncertainty, histogramBgrUncertainty);
histogramRatioUncertainty->Divide(histogramBgrSum);
int numBins = histogramRatioUncertainty->GetNbinsX();
for ( int iBin = 1; iBin <= numBins; ++iBin ) {
double binContent = histogramRatioUncertainty->GetBinContent(iBin);
histogramRatioUncertainty->SetBinContent(iBin, binContent - 1.0);
}
histogramRatioUncertainty->SetFillColor(histogramBgrUncertainty_density->GetFillColor());
//histogramRatioUncertainty->SetFillStyle(histogramBgrUncertainty_density->GetFillStyle());
histogramRatioUncertainty->SetFillStyle(3644);
TF1* line = new TF1("line","0", xAxis_bottom->GetXmin(), xAxis_bottom->GetXmax());
line->SetLineStyle(3);
line->SetLineWidth(1);
line->SetLineColor(kBlack);
line->Draw("same");
histogramRatioUncertainty->Draw("e2same");
histogramRatio->Draw("epsame");
canvas->Update();
size_t idx = outputFileName.find(".");
std::string outputFileName_plot(outputFileName, 0, idx);
if ( useLogScale ) outputFileName_plot.append("_log");
else outputFileName_plot.append("_linear");
if ( idx != std::string::npos ) canvas->Print(std::string(outputFileName_plot).append(std::string(outputFileName, idx)).data());
canvas->Print(std::string(outputFileName_plot).append(".png").data());
canvas->Print(std::string(outputFileName_plot).append(".pdf").data());
canvas->Print(std::string(outputFileName_plot).append(".root").data());
delete histogramTTH_density;
delete histogramData_density;
delete histogramTT_density;
delete histogramTTV_density;
delete histogramEWK_density;
delete histogramRares_density;
delete histogramBgrSum_density;
//delete histogramBgrUncertainty_density;
delete histogramStack_density;
delete legend;
delete topPad;
delete histogramRatio;
delete histogramRatioUncertainty;
delete line;
delete bottomPad;
delete canvas;
}
void makePlot(TH1* histogram_data, bool doKeepBlinded,
TH1* histogram_ttH,
TH1* histogram_ttZ,
TH1* histogram_ttW,
TH1* histogram_EWK,
TH1* histogram_Rares,
TH1* histogram_fakes,
TH1* histogramSum_mc,
TH1* histogramErr_mc,
const std::string& xAxisTitle,
const std::string& yAxisTitle, double yMin, double yMax,
bool showLegend,
const std::string& label,
const std::string& outputFileName,
bool useLogScale)
{
TH1* histogram_data_density = 0;
if ( histogram_data ) {
histogram_data_density = divideHistogramByBinWidth(histogram_data);
}
histogram_data_density->SetMarkerColor(1);
histogram_data_density->SetMarkerStyle(20);
histogram_data_density->SetMarkerSize(2);
histogram_data_density->SetLineColor(1);
histogram_data_density->SetLineWidth(1);
histogram_data_density->SetLineStyle(1);
TH1* histogram_ttH_density = 0;
if ( histogram_ttH ) {
if ( histogram_data ) checkCompatibleBinning(histogram_ttH, histogram_data);
histogram_ttH_density = divideHistogramByBinWidth(histogram_ttH);
}
histogram_ttH_density->SetFillColor(628);
histogram_ttH_density->SetLineColor(1);
histogram_ttH_density->SetLineWidth(1);
TH1* histogram_ttZ_density = 0;
if ( histogram_ttZ ) {
if ( histogram_data ) checkCompatibleBinning(histogram_ttZ, histogram_data);
histogram_ttZ_density = divideHistogramByBinWidth(histogram_ttZ);
}
histogram_ttZ_density->SetFillColor(822);
histogram_ttZ_density->SetLineColor(1);
histogram_ttZ_density->SetLineWidth(1);
TH1* histogram_ttW_density = 0;
if ( histogram_ttW ) {
if ( histogram_data ) checkCompatibleBinning(histogram_ttW, histogram_data);
histogram_ttW_density = divideHistogramByBinWidth(histogram_ttW);
}
histogram_ttW_density->SetFillColor(823);
histogram_ttW_density->SetLineColor(1);
histogram_ttW_density->SetLineWidth(1);
TH1* histogram_EWK_density = 0;
if ( histogram_EWK ) {
if ( histogram_data ) checkCompatibleBinning(histogram_EWK, histogram_data);
histogram_EWK_density = divideHistogramByBinWidth(histogram_EWK);
}
histogram_EWK_density->SetFillColor(610);
histogram_EWK_density->SetLineColor(1);
histogram_EWK_density->SetLineWidth(1);
TH1* histogram_Rares_density = 0;
if ( histogram_Rares ) {
if ( histogram_data ) checkCompatibleBinning(histogram_Rares, histogram_data);
histogram_Rares_density = divideHistogramByBinWidth(histogram_Rares);
}
histogram_Rares_density->SetFillColor(851);
histogram_Rares_density->SetLineColor(1);
histogram_Rares_density->SetLineWidth(1);
TH1* histogram_fakes_density = 0;
if ( histogram_fakes ) {
if ( histogram_data ) checkCompatibleBinning(histogram_fakes, histogram_data);
histogram_fakes_density = divideHistogramByBinWidth(histogram_fakes);
}
histogram_fakes_density->SetFillColor(1);
histogram_fakes_density->SetFillStyle(3005);
histogram_fakes_density->SetLineColor(1);
histogram_fakes_density->SetLineWidth(1);
TH1* histogramSum_mc_density = 0;
if ( histogramSum_mc ) {
if ( histogram_data ) checkCompatibleBinning(histogramSum_mc, histogram_data);
histogramSum_mc_density = divideHistogramByBinWidth(histogramSum_mc);
}
std::cout << "histogramSum_mc_density = " << histogramSum_mc_density << std::endl;
dumpHistogram(histogramSum_mc_density);
TH1* histogramErr_mc_density = 0;
if ( histogramErr_mc ) {
if ( histogram_data ) checkCompatibleBinning(histogramErr_mc, histogram_data);
histogramErr_mc_density = divideHistogramByBinWidth(histogramErr_mc);
}
setStyle_uncertainty(histogramErr_mc_density);
TCanvas* canvas = new TCanvas("canvas", "canvas", 950, 1100);
canvas->SetFillColor(10);
canvas->SetBorderSize(2);
canvas->Draw();
TPad* topPad = new TPad("topPad", "topPad", 0.00, 0.34, 1.00, 0.995);
topPad->SetFillColor(10);
topPad->SetTopMargin(0.065);
topPad->SetLeftMargin(0.20);
topPad->SetBottomMargin(0.00);
topPad->SetRightMargin(0.04);
topPad->SetLogy(useLogScale);
TPad* bottomPad = new TPad("bottomPad", "bottomPad", 0.00, 0.01, 1.00, 0.335);
bottomPad->SetFillColor(10);
bottomPad->SetTopMargin(0.085);
bottomPad->SetLeftMargin(0.20);
bottomPad->SetBottomMargin(0.35);
bottomPad->SetRightMargin(0.04);
bottomPad->SetLogy(false);
canvas->cd();
topPad->Draw();
topPad->cd();
THStack* histogramStack_mc = new THStack();
histogramStack_mc->Add(histogram_fakes_density);
histogramStack_mc->Add(histogram_Rares_density);
histogramStack_mc->Add(histogram_EWK_density);
histogramStack_mc->Add(histogram_ttW_density);
histogramStack_mc->Add(histogram_ttZ_density);
histogramStack_mc->Add(histogram_ttH_density);
TH1* histogram_ref = histogram_data_density;
histogram_ref->SetTitle("");
histogram_ref->SetStats(false);
histogram_ref->SetMaximum(yMax);
histogram_ref->SetMinimum(yMin);
TAxis* xAxis_top = histogram_ref->GetXaxis();
assert(xAxis_top);
if ( xAxisTitle != "" ) xAxis_top->SetTitle(xAxisTitle.data());
xAxis_top->SetTitleOffset(1.20);
xAxis_top->SetLabelColor(10);
xAxis_top->SetTitleColor(10);
TAxis* yAxis_top = histogram_ref->GetYaxis();
assert(yAxis_top);
if ( yAxisTitle != "" ) yAxis_top->SetTitle(yAxisTitle.data());
yAxis_top->SetTitleOffset(1.20);
yAxis_top->SetTitleSize(0.080);
yAxis_top->SetLabelSize(0.065);
yAxis_top->SetTickLength(0.04);
histogram_ref->Draw("axis");
// CV: calling THStack::Draw() causes segmentation violation ?!
//histogramStack_mc->Draw("histsame");
// CV: draw histograms without using THStack instead;
// note that order in which histograms need to be drawn needs to be reversed
// compared to order in which histograms were added to THStack !!
histogram_ttH_density->Add(histogram_ttZ_density);
histogram_ttH_density->Add(histogram_ttW_density);
histogram_ttH_density->Add(histogram_EWK_density);
histogram_ttH_density->Add(histogram_Rares_density);
histogram_ttH_density->Add(histogram_fakes_density);
histogram_ttH_density->Draw("histsame");
std::cout << "histogram_ttH_density = " << histogram_ttH_density << ":" << std::endl;
dumpHistogram(histogram_ttH_density);
histogram_ttZ_density->Add(histogram_ttW_density);
histogram_ttZ_density->Add(histogram_EWK_density);
histogram_ttZ_density->Add(histogram_Rares_density);
histogram_ttZ_density->Add(histogram_fakes_density);
histogram_ttZ_density->Draw("histsame");
histogram_ttW_density->Add(histogram_EWK_density);
histogram_ttW_density->Add(histogram_Rares_density);
histogram_ttW_density->Add(histogram_fakes_density);
histogram_ttW_density->Draw("histsame");
histogram_EWK_density->Add(histogram_Rares_density);
histogram_EWK_density->Add(histogram_fakes_density);
histogram_EWK_density->Draw("histsame");
histogram_Rares_density->Add(histogram_fakes_density);
histogram_Rares_density->Draw("histsame");
TH1* histogram_fakes_density_cloned = (TH1*)histogram_fakes_density->Clone();
histogram_fakes_density_cloned->SetFillColor(10);
histogram_fakes_density_cloned->SetFillStyle(1001);
histogram_fakes_density_cloned->Draw("histsame");
histogram_fakes_density->Draw("histsame");
if ( histogramErr_mc_density ) {
histogramErr_mc_density->Draw("e2same");
}
if ( !doKeepBlinded ) {
histogram_data_density->Draw("e1psame");
}
histogram_ref->Draw("axissame");
double legend_y0 = 0.6950;
if ( showLegend ) {
TLegend* legend1 = new TLegend(0.2600, legend_y0, 0.5350, 0.9250, NULL, "brNDC");
legend1->SetFillStyle(0);
legend1->SetBorderSize(0);
legend1->SetFillColor(10);
legend1->SetTextSize(0.050);
TH1* histogram_data_forLegend = (TH1*)histogram_data_density->Clone();
histogram_data_forLegend->SetMarkerSize(2);
legend1->AddEntry(histogram_data_forLegend, "Observed", "p");
legend1->AddEntry(histogram_ttH_density, "t#bar{t}H", "f");
legend1->AddEntry(histogram_ttZ_density, "t#bar{t}Z", "f");
legend1->AddEntry(histogram_ttW_density, "t#bar{t}W", "f");
legend1->Draw();
TLegend* legend2 = new TLegend(0.6600, legend_y0, 0.9350, 0.9250, NULL, "brNDC");
legend2->SetFillStyle(0);
legend2->SetBorderSize(0);
legend2->SetFillColor(10);
legend2->SetTextSize(0.050);
legend2->AddEntry(histogram_EWK_density, "Electroweak", "f");
legend2->AddEntry(histogram_Rares_density, "Rares", "f");
legend2->AddEntry(histogram_fakes_density, "Fakes", "f");
if ( histogramErr_mc ) legend2->AddEntry(histogramErr_mc_density, "Uncertainty", "f");
legend2->Draw();
}
//addLabel_CMS_luminosity(0.2100, 0.9700, 0.6350);
addLabel_CMS_preliminary(0.2100, 0.9700, 0.6350);
TPaveText* label_category = 0;
if ( showLegend ) label_category = new TPaveText(0.6600, legend_y0 - 0.0550, 0.9350, legend_y0, "NDC");
else label_category = new TPaveText(0.2350, 0.8500, 0.5150, 0.9100, "NDC");
label_category->SetTextAlign(13);
label_category->AddText(label.data());
label_category->SetTextSize(0.055);
label_category->SetTextColor(1);
label_category->SetFillStyle(0);
label_category->SetBorderSize(0);
label_category->Draw();
canvas->cd();
bottomPad->Draw();
bottomPad->cd();
TH1* histogramRatio = (TH1*)histogram_data_density->Clone("histogramRatio");
if ( !histogramRatio->GetSumw2N() ) histogramRatio->Sumw2();
histogramRatio->SetTitle("");
histogramRatio->SetStats(false);
histogramRatio->SetMinimum(-0.99);
histogramRatio->SetMaximum(+0.99);
histogramRatio->SetMarkerColor(histogram_data_density->GetMarkerColor());
histogramRatio->SetMarkerStyle(histogram_data_density->GetMarkerStyle());
histogramRatio->SetMarkerSize(histogram_data_density->GetMarkerSize());
histogramRatio->SetLineColor(histogram_data_density->GetLineColor());
TH1* histogramRatioUncertainty = (TH1*)histogram_data_density->Clone("histogramRatioUncertainty");
if ( !histogramRatioUncertainty->GetSumw2N() ) histogramRatioUncertainty->Sumw2();
histogramRatioUncertainty->SetMarkerColor(10);
histogramRatioUncertainty->SetMarkerSize(0);
setStyle_uncertainty(histogramRatioUncertainty);
int numBins_bottom = histogramRatio->GetNbinsX();
for ( int iBin = 1; iBin <= numBins_bottom; ++iBin ) {
double binContent_data = histogram_data_density->GetBinContent(iBin);
double binError_data = histogram_data_density->GetBinError(iBin);
double binContent_mc = 0;
double binError_mc = 0;
if ( histogramSum_mc && histogramErr_mc ) {
binContent_mc = histogramSum_mc_density->GetBinContent(iBin);
binError_mc = histogramErr_mc_density->GetBinError(iBin);
} else {
TList* histograms = histogramStack_mc->GetHists();
TIter nextHistogram(histograms);
double binError2_mc = 0.;
while ( TH1* histogram_density = dynamic_cast<TH1*>(nextHistogram()) ) {
binContent_mc += histogram_density->GetBinContent(iBin);
binError2_mc += square(histogram_density->GetBinError(iBin));
}
binError_mc = TMath::Sqrt(binError2_mc);
}
if ( binContent_mc > 0. ) {
histogramRatio->SetBinContent(iBin, binContent_data/binContent_mc - 1.0);
histogramRatio->SetBinError(iBin, binError_data/binContent_mc);
histogramRatioUncertainty->SetBinContent(iBin, 0.);
histogramRatioUncertainty->SetBinError(iBin, binError_mc/binContent_mc);
}
}
std::cout << "histogramRatio = " << histogramRatio << std::endl;
dumpHistogram(histogramRatio);
std::cout << "histogramRatioUncertainty = " << histogramRatioUncertainty << std::endl;
dumpHistogram(histogramRatioUncertainty);
TAxis* xAxis_bottom = histogramRatio->GetXaxis();
assert(xAxis_bottom);
xAxis_bottom->SetTitle(xAxis_top->GetTitle());
xAxis_bottom->SetLabelColor(1);
xAxis_bottom->SetTitleColor(1);
xAxis_bottom->SetTitleOffset(1.05);
xAxis_bottom->SetTitleSize(0.16);
xAxis_bottom->SetTitleFont(xAxis_top->GetTitleFont());
xAxis_bottom->SetLabelOffset(0.02);
xAxis_bottom->SetLabelSize(0.12);
xAxis_bottom->SetTickLength(0.065);
xAxis_bottom->SetNdivisions(505);
TAxis* yAxis_bottom = histogramRatio->GetYaxis();
assert(yAxis_bottom);
yAxis_bottom->SetTitle("#frac{Data - Expectation}{Expectation}");
yAxis_bottom->SetLabelColor(1);
yAxis_bottom->SetTitleColor(1);
yAxis_bottom->SetTitleOffset(0.95);
yAxis_bottom->SetTitleFont(yAxis_top->GetTitleFont());
yAxis_bottom->SetNdivisions(505);
yAxis_bottom->CenterTitle();
yAxis_bottom->SetTitleSize(0.095);
yAxis_bottom->SetLabelSize(0.110);
yAxis_bottom->SetTickLength(0.04);
histogramRatio->Draw("axis");
TF1* line = new TF1("line","0", xAxis_bottom->GetXmin(), xAxis_bottom->GetXmax());
line->SetLineStyle(3);
line->SetLineWidth(1.5);
line->SetLineColor(kBlack);
line->Draw("same");
histogramRatioUncertainty->Draw("e2same");
if ( !doKeepBlinded ) {
histogramRatio->Draw("epsame");
}
histogramRatio->Draw("axissame");
canvas->Update();
size_t idx = outputFileName.find_last_of('.');
std::string outputFileName_plot = std::string(outputFileName, 0, idx);
if ( useLogScale ) outputFileName_plot.append("_log");
else outputFileName_plot.append("_linear");
canvas->Print(std::string(outputFileName_plot).append(".pdf").data());
canvas->Print(std::string(outputFileName_plot).append(".root").data());
//delete label_cms;
delete topPad;
delete label_category;
delete histogramRatio;
delete histogramRatioUncertainty;
delete line;
delete bottomPad;
delete canvas;
}
