plotting, analysis for remaining triggers
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@ -4,4 +4,5 @@ status_report/**
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branchnames.txt
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images/**
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output_files/**
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BuToHpMuMu_dataloader/**
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BuToHpMuMu_dataloader/**
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B0ToHpHmMuMu_dataloader/**
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152
basic_analysis.h
152
basic_analysis.h
@ -65,6 +65,65 @@ public:
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}
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};
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struct FittedParam
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{
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std::string title;
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std::string name;
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double value;
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double error;
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bool at_limit;
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bool constant;
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int decimals;
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FittedParam(RooRealVar var, int decimals)
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{
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this->title = var.GetTitle();
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this->name = var.GetName();
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double val = var.getVal();
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this->value = val;
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this->constant = var.isConstant();
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if (!this->constant)
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{
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this->error = var.getError();
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this->at_limit = ((val == var.getMin()) || (val == var.getMax()));
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}
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else
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{
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this->error = 0.;
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}
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this->decimals = decimals;
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}
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std::string ToString() const
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{
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if (this->constant)
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{
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return TString::Format("%s = %.*f", this->title.c_str(), this->decimals, this->value).Data();
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}
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else
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{
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return TString::Format("%s = %.*f #pm %.*f", this->title.c_str(), this->decimals, this->value, this->decimals, this->error).Data();
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}
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}
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};
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struct ShapeParamters
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{
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double alpha_left;
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double n_left;
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double alpha_right;
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double n_right;
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};
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struct RooFitSummary
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{
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RooPlot *fit_histogram;
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RooPlot *pull_histogram;
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std::map<std::string, std::string> pdf_names;
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std::vector<FittedParam> fitted_params;
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ShapeParamters shape_parameters;
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};
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void DrawInDefaultCanvas(TH1 *histogram, const char *folder, double margin_left = 0, Option_t *option = "")
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{
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std::filesystem::create_directory(TString::Format("output_files/analysis/%s", folder).Data());
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@ -88,6 +147,52 @@ void DrawInDefaultCanvas(RooPlot *rooPlot, const char *folder, double margin_lef
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c->SaveAs(TString::Format("output_files/analysis/%s/%s.pdf", folder, name.Data()).Data());
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}
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void DrawInDefaultCanvas(RooFitSummary fitSummary, const char *folder)
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{
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std::filesystem::create_directory(TString::Format("output_files/analysis/%s", folder).Data());
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TString name = TString::Format("%s_canvas", fitSummary.fit_histogram->GetName());
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TCanvas *c = new TCanvas(name, fitSummary.fit_histogram->GetTitle(), 0, 0, 800, 600);
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TPad *pull_pad = new TPad(TString::Format("%s_canv_pull", fitSummary.fit_histogram->GetName()), "Pull Pad", 0., 0., 1., 0.3);
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pull_pad->Draw();
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pull_pad->SetTopMargin(0.001);
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pull_pad->SetBottomMargin(0.3);
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pull_pad->SetGrid();
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TPad *fit_pad = new TPad(TString::Format("%s_canv_fit", fitSummary.fit_histogram->GetName()), "Fit Pad", 0., 0.3, 1., 1.);
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fit_pad->Draw();
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fit_pad->SetBottomMargin(0.001);
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fit_pad->cd();
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fitSummary.fit_histogram->Draw();
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TLegend *leg1 = new TLegend(0.60, 0.55, 0.87, 0.89);
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leg1->SetFillColor(kWhite);
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leg1->SetLineColor(kBlack);
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for (const auto &[name, title] : fitSummary.pdf_names)
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{
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leg1->AddEntry(fitSummary.fit_histogram->findObject(name.c_str()), title.c_str(), "LP");
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}
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for (const auto &par : fitSummary.fitted_params)
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{
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if (!par.constant)
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{
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leg1->AddEntry((TObject *)0, par.ToString().c_str(), "");
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}
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}
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leg1->Draw();
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pull_pad->cd();
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fitSummary.pull_histogram->Draw();
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c->Draw();
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c->SaveAs(TString::Format("output_files/analysis/%s/%s.pdf", folder, name.Data()).Data());
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}
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void PrintProgress(const char *title, unsigned int total, unsigned int every, unsigned int current)
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{
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if ((current + 1) % every == 0 || current + 1 == total)
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@ -112,21 +217,6 @@ RooPlot *CreateRooFitHistogram(TH1D *hist)
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return roo_frame_mass;
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}
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struct ShapeParamters
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{
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double alpha_left;
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double n_left;
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double alpha_right;
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double n_right;
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};
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struct RooFitSummary
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{
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RooPlot *fit_histogram;
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RooPlot *pull_histogram;
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ShapeParamters shape_parameters;
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};
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RooFitSummary CreateRooFitHistogramAndFitCB(TH1D *hist, bool hasExpBkg, bool useExtShape, ShapeParamters extShape)
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{
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auto suffix_name = [name = hist->GetName()](const char *text)
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@ -154,7 +244,8 @@ RooFitSummary CreateRooFitHistogramAndFitCB(TH1D *hist, bool hasExpBkg, bool use
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RooRealVar var_mass_alphaR(suffix_name("var_mass_alphaR"), "#alpha_{R}", 2., 0., 4.);
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RooRealVar var_mass_nR(suffix_name("var_mass_nR"), "n_{R}", 5., 0., 15.);
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if (useExtShape) {
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if (useExtShape)
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{
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var_mass_alphaL.setConstant(true);
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var_mass_alphaL.setVal(extShape.alpha_left);
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@ -165,11 +256,16 @@ RooFitSummary CreateRooFitHistogramAndFitCB(TH1D *hist, bool hasExpBkg, bool use
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var_mass_alphaR.setVal(extShape.alpha_right);
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var_mass_nR.setConstant(true);
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var_mass_nR.setVal(extShape.n_left);
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var_mass_nR.setVal(extShape.n_right);
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}
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TString signal_name = suffix_name("sig_cb");
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RooCrystalBall sig_cb(signal_name, "Signal Crystal Ball", roo_var_mass, var_mass_x0, var_mass_sigmaLR, var_mass_alphaL, var_mass_nL, var_mass_alphaR, var_mass_nR);
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RooCrystalBall sig_cb(signal_name, "CB Signal", roo_var_mass, var_mass_x0, var_mass_sigmaLR, var_mass_alphaL, var_mass_nL, var_mass_alphaR, var_mass_nR);
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std::vector<FittedParam> fitted_params{};
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std::map<std::string, std::string> pdf_names{};
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pdf_names[signal_name.Data()] = sig_cb.getTitle().Data();
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TString pull_compare_name{};
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if (hasExpBkg)
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@ -179,12 +275,14 @@ RooFitSummary CreateRooFitHistogramAndFitCB(TH1D *hist, bool hasExpBkg, bool use
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TString background_name = suffix_name("bgk_exp");
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RooExponential bkg_exp(background_name, "Exp Background", roo_var_mass, var_mass_bkg_c);
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pdf_names[background_name.Data()] = bkg_exp.getTitle().Data();
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RooRealVar var_mass_nsig(suffix_name("nsig"), "N_{Sig}", 0., hist->GetEntries());
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RooRealVar var_mass_nbkg(suffix_name("nbkg"), "N_{Bkg}", 0., hist->GetEntries());
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TString fitted_pdf_name = suffix_name("sigplusbkg");
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RooAddPdf fitted_pdf(fitted_pdf_name, "Sig and Bkg PDF", RooArgList(sig_cb, bkg_exp), RooArgList(var_mass_nsig, var_mass_nbkg));
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RooAddPdf fitted_pdf(fitted_pdf_name, "Sig + Bkg", RooArgList(sig_cb, bkg_exp), RooArgList(var_mass_nsig, var_mass_nbkg));
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pdf_names[fitted_pdf_name.Data()] = fitted_pdf.getTitle().Data();
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RooFitResult *fitres = fitted_pdf.fitTo(roohist_B_M, RooFit::Save(), RooFit::PrintLevel(1), RooFit::Range(fitting_range_name));
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@ -192,26 +290,36 @@ RooFitSummary CreateRooFitHistogramAndFitCB(TH1D *hist, bool hasExpBkg, bool use
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fitted_pdf.plotOn(roo_frame_mass, RooFit::LineColor(kRed), RooFit::LineStyle(kSolid), RooFit::Range(fitting_range_name), RooFit::Name(fitted_pdf_name));
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fitted_pdf.plotOn(roo_frame_mass, RooFit::Components(RooArgSet(bkg_exp)), RooFit::LineColor(kBlue - 7), RooFit::LineStyle(kDashed), RooFit::Range(fitting_range_name), RooFit::Name(background_name));
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fitted_pdf.plotOn(roo_frame_mass, RooFit::Components(RooArgSet(sig_cb)), RooFit::LineColor(kRed - 7), RooFit::LineStyle(kDashed), RooFit::Range(fitting_range_name), RooFit::Name(signal_name));
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fitted_pdf.paramOn(roo_frame_mass);
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fitted_params.push_back(FittedParam(var_mass_bkg_c, 5));
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fitted_params.push_back(FittedParam(var_mass_nsig, 2));
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fitted_params.push_back(FittedParam(var_mass_nbkg, 2));
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pull_compare_name = fitted_pdf_name;
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}
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else
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{
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RooFitResult *fitres = sig_cb.fitTo(roohist_B_M, RooFit::Save(), RooFit::PrintLevel(1), RooFit::Range(fitting_range_name));
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// sigplusbkg.plotOn(roo_frame_mass, RooFit::VisualizeError(*fitres, 1), RooFit::FillColor(kOrange + 1), RooFit::FillStyle(3144));
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sig_cb.plotOn(roo_frame_mass, RooFit::LineColor(kRed), RooFit::LineStyle(kSolid), RooFit::Range(fitting_range_name), RooFit::Name(signal_name));
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pull_compare_name = signal_name;
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sig_cb.paramOn(roo_frame_mass);
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}
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fitted_params.push_back(FittedParam(var_mass_x0, 2));
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fitted_params.push_back(FittedParam(var_mass_sigmaLR, 2));
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fitted_params.push_back(FittedParam(var_mass_alphaL, 2));
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fitted_params.push_back(FittedParam(var_mass_nL, 2));
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fitted_params.push_back(FittedParam(var_mass_alphaR, 2));
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fitted_params.push_back(FittedParam(var_mass_nR, 2));
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RooPlot *roo_frame_pull = roo_var_mass.frame(RooFit::Title("Pull Distribution"), RooFit::Name(TString::Format("%s_pull_rplt", hist->GetName())));
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roo_frame_pull->addPlotable(roo_frame_mass->pullHist(hist_name, pull_compare_name), "P");
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return RooFitSummary{
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roo_frame_mass,
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roo_frame_pull,
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pdf_names,
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fitted_params,
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ShapeParamters{
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var_mass_alphaL.getVal(),
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var_mass_nL.getVal(),
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@ -202,7 +202,7 @@ void ConnectVarsToData(std::vector<TV *> vars, TChain *data_chain, TChain *mc_ch
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void TrainBDT(std::vector<TV *> vars, const char* unique_id, TTree *sig_tree, TTree *bkg_tree)
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{
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TString outfile_name = TString::Format("%s_out.root", unique_id);
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TString outfile_name = TString::Format("%s_tmva_out.root", unique_id);
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TFile *output_file = TFile::Open(outfile_name, "RECREATE");
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TString factory_options("V:Silent:Color:DrawProgressBar:Transformations=I;D;P;G,D:AnalysisType=Auto");
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309
new_analysis_b02hphmmumu.cpp
Normal file
309
new_analysis_b02hphmmumu.cpp
Normal file
@ -0,0 +1,309 @@
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#include <string>
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#include <iostream>
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#include <cmath>
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#include <algorithm>
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#include <filesystem>
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#include <string_view>
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#include "TH1D.h"
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#include "TH2D.h"
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#include "THStack.h"
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#include "TGraph.h"
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#include "TTree.h"
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#include "TChain.h"
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#include "TFile.h"
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#include "TCanvas.h"
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#include "TROOT.h"
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#include "TStyle.h"
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#include "TColor.h"
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#include "TLorentzVector.h"
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#include "TRandom3.h"
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#include "TLegend.h"
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#include "RooDataHist.h"
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#include "RooRealVar.h"
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#include "RooPlot.h"
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#include "RooGaussian.h"
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#include "RooExponential.h"
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#include "RooRealConstant.h"
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#include "RooAddPdf.h"
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#include "RooFitResult.h"
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#include "RooProduct.h"
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#include "RooCrystalBall.h"
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#include "RooBreitWigner.h"
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#include "RooArgSet.h"
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#include "RooFFTConvPdf.h"
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#include "RooNovosibirsk.h"
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#include "constants.h"
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#include "basic_analysis.h"
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#include "hlt1_decision_analysis.h"
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#include "bdt_classification.h"
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// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Inclusive :: B0 To Hp Hm Mu Mu %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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int new_analysis_b02hphmmumu()
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{
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const char *analysis_name = "B0ToHpHmMuMu";
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const char *data_tree_name = "B0ToHpHmMuMu";
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const char *sim_tree_name = "B0ToHpHmMuMu_noPID";
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const char *end_state_mass_literal = "m(#pi^{+}_{(#rightarrow K^{+})}#pi^{-}_{(#rightarrow K^{-})}#mu^{+}#mu^{-})";
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const bool retrain_bdt = true;
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TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
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// data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/spruce_magdown_2023_v0_tuple_90000000_v0r0p6288631.root");
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data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/spruce_magdown_2023_v0r1_tuple_90000000_2023_v0r0p6288631.root");
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Double_t Hp_PID_K, Hm_PID_K;
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data_chain->SetBranchAddress("Hp_PID_K", &Hp_PID_K);
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data_chain->SetBranchAddress("Hm_PID_K", &Hm_PID_K);
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FourVect *l14v_data = FourVect::Init(data_chain, "L1");
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FourVect *l24v_data = FourVect::Init(data_chain, "L2");
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FourVect *hp4v_data = FourVect::Init(data_chain, "Hp");
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FourVect *hm4v_data = FourVect::Init(data_chain, "Hm");
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TChain *sim_chain = new TChain(TString::Format("%s/DecayTree", sim_tree_name));
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sim_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/rd_btoxll_simulation_fullstream_v0r0p6671378_B0ToKpPimMuMu_11144002_magdown.root");
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FourVect *l14v_sim = FourVect::Init(sim_chain, "L1");
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FourVect *l24v_sim = FourVect::Init(sim_chain, "L2");
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FourVect *hp4v_sim = FourVect::Init(sim_chain, "Hp");
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FourVect *hm4v_sim = FourVect::Init(sim_chain, "Hm");
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Int_t B_BKGCAT, L1_TRUEID, L2_TRUEID, Hp_TRUEID, Hm_TRUEID;
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sim_chain->SetBranchAddress("L1_TRUEID", &L1_TRUEID);
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sim_chain->SetBranchAddress("L2_TRUEID", &L2_TRUEID);
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sim_chain->SetBranchAddress("Hp_TRUEID", &Hp_TRUEID);
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sim_chain->SetBranchAddress("Hm_TRUEID", &Hm_TRUEID);
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sim_chain->SetBranchAddress("B0_BKGCAT", &B_BKGCAT);
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TH1D *h1_B_Mass_jpsi = new TH1D("h1_B_Mass_jpsi", TString::Format("B Mass, J/#psi Mode (%s)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH1D *h1_B_Mass_psi2s = new TH1D("h1_B_Mass_psi2s", TString::Format("B Mass, #psi(2S) Mode (%s)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH1D *h1_B_Mass_sim = new TH1D("h1_B_Mass_sim", TString::Format("B Mass, Simualted (%s_noPID)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH2D *h2_Hlt1_flags_B_Mass = new TH2D("h2_Hlt1_flags_B_Mass", "Hlt1 Decision vs B Mass", 50, 5100, 5400, 13, 1., 14.);
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TH2D *h2_Hlt1_flags_excl_B_Mass = new TH2D("h2_Hlt1_flags_excl_B_Mass", "Excl Hlt1 Decision vs B Mass", 50, 5100, 5400, 13, 1., 14.);
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TH1D *h1_bdt_probs = new TH1D("h1_bdt_probs", "BDT Probabilities", 100, -1, 1);
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h1_B_Mass_jpsi->GetXaxis()->SetTitle(end_state_mass_literal);
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h1_B_Mass_psi2s->GetXaxis()->SetTitle(end_state_mass_literal);
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h2_Hlt1_flags_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
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h2_Hlt1_flags_excl_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
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ConnectHlt1Decisions(data_chain, h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass);
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auto hlt1_decision_histos = CreateHlt1DecisionHistos(analysis_name);
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std::map<std::string, int> exclusive_hits{};
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std::vector<TV *> vars{
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TV::Float("B0_PT", "B0_PT"),
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TV::Float("B0_BPVFDCHI2", "B0_BPVFDCHI2"),
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TV::Float("B0_BPVDIRA", "B0_BPVDIRA"),
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TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
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// TV::Float("Jpsi_BPVDIRA", "Jpsi_BPVDIRA"),
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TV::Float("Jpsi_PT", "Jpsi_PT"),
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TV::Float("Hp_BPVIPCHI2", "Hp_BPVIPCHI2"),
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TV::Float("Hp_PT", "Hp_PT"),
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TV::Float("Hm_BPVIPCHI2", "Hm_BPVIPCHI2"),
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TV::Float("Hm_PT", "Hm_PT"),
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// TV::Double("Kplus_PID_K", "K_PID_K"),
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TV::Double("Hp_PROBNN_K", "Hp_PROBNN_K"),
|
||||
TV::Double("Hm_PROBNN_K", "Hm_PROBNN_K"),
|
||||
TV::Float("L1_BPVIPCHI2", "L1_BPVIPCHI2"),
|
||||
TV::Float("L2_BPVIPCHI2", "L2_BPVIPCHI2"),
|
||||
};
|
||||
|
||||
TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
|
||||
TTree *bkg_tree = new TTree("TreeB", "tree containing background data");
|
||||
|
||||
ConnectVarsToData(vars, data_chain, sim_chain, sig_tree, bkg_tree);
|
||||
|
||||
unsigned int data_entries = data_chain->GetEntries();
|
||||
unsigned int sim_entries = 100000; // sim_chain->GetEntries();
|
||||
|
||||
unsigned int bkg_events = 0;
|
||||
|
||||
if (retrain_bdt)
|
||||
{
|
||||
std::cout << "# Starting with BDT retrain." << std::endl;
|
||||
for (unsigned int i = 0; i < data_entries; i++)
|
||||
{
|
||||
data_chain->GetEntry(i);
|
||||
TLorentzVector reconstructed_Kstar{};
|
||||
bool found_k_star = false;
|
||||
if (Hp_PID_K > 0 && Hm_PID_K < 0)
|
||||
{
|
||||
reconstructed_Kstar = hp4v_data->LorentzVector(K_MASS) + hm4v_data->LorentzVector();
|
||||
found_k_star = true;
|
||||
}
|
||||
else if (Hm_PID_K > 0 && Hp_PID_K < 0)
|
||||
{
|
||||
reconstructed_Kstar = hp4v_data->LorentzVector() + hm4v_data->LorentzVector(K_MASS);
|
||||
found_k_star = true;
|
||||
}
|
||||
|
||||
if (found_k_star)
|
||||
{
|
||||
Double_t reconstructed_B_Mass = (reconstructed_Kstar + l14v_data->LorentzVector() + l24v_data->LorentzVector()).M();
|
||||
|
||||
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||
{ return v->IsDataFinite(); }))
|
||||
{
|
||||
if (reconstructed_B_Mass > 5500.)
|
||||
{
|
||||
bkg_tree->Fill();
|
||||
bkg_events++;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
PrintProgress(TString::Format("%s BKG Collection", analysis_name), data_entries, 10000, i);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
std::cout << "# Starting without BDT retrain." << std::endl;
|
||||
}
|
||||
|
||||
for (unsigned int i = 0; i < sim_entries; i++)
|
||||
{
|
||||
sim_chain->GetEntry(i);
|
||||
|
||||
if (B_BKGCAT == 30 && TMath::Abs(L1_TRUEID) == PID_MUON && L2_TRUEID == -L1_TRUEID)
|
||||
{
|
||||
TLorentzVector reconstructed_Kstar{};
|
||||
bool found_k_star = false;
|
||||
if (TMath::Abs(Hp_TRUEID) == PID_KAON && TMath::Abs(Hm_TRUEID) == PID_PION)
|
||||
{
|
||||
reconstructed_Kstar = hp4v_sim->LorentzVector(K_MASS) + hm4v_sim->LorentzVector();
|
||||
found_k_star = true;
|
||||
}
|
||||
else if (TMath::Abs(Hp_TRUEID) == PID_PION && TMath::Abs(Hm_TRUEID) == PID_KAON)
|
||||
{
|
||||
reconstructed_Kstar = hp4v_sim->LorentzVector() + hm4v_sim->LorentzVector(K_MASS);
|
||||
found_k_star = true;
|
||||
}
|
||||
|
||||
if (found_k_star)
|
||||
{
|
||||
Double_t reconstructed_B_Mass = (reconstructed_Kstar + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
||||
|
||||
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||
{ return v->IsMCFinite(); }))
|
||||
{
|
||||
if (retrain_bdt)
|
||||
{
|
||||
sig_tree->Fill();
|
||||
}
|
||||
h1_B_Mass_sim->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
|
||||
}
|
||||
|
||||
if (retrain_bdt)
|
||||
{
|
||||
TrainBDT(vars, analysis_name, sig_tree, bkg_tree);
|
||||
std::cout << "# Finished BDT retrain." << std::endl;
|
||||
}
|
||||
|
||||
std::cout << "# Starting evaluation of data." << std::endl;
|
||||
|
||||
Float_t *train_vars = new Float_t[vars.size()];
|
||||
auto reader = SetupReader(vars, train_vars, analysis_name);
|
||||
|
||||
const double mva_cut_value = -0.12; // 0.09; // -0.02;
|
||||
|
||||
for (unsigned int i = 0; i < data_entries; i++)
|
||||
{
|
||||
data_chain->GetEntry(i);
|
||||
|
||||
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
||||
TLorentzVector reconstructed_Kstar{};
|
||||
bool found_k_star = false;
|
||||
if (Hp_PID_K > 0 && Hm_PID_K < 0)
|
||||
{
|
||||
reconstructed_Kstar = hp4v_data->LorentzVector(K_MASS) + hm4v_data->LorentzVector();
|
||||
found_k_star = true;
|
||||
}
|
||||
else if (Hm_PID_K > 0 && Hp_PID_K < 0)
|
||||
{
|
||||
reconstructed_Kstar = hp4v_data->LorentzVector() + hm4v_data->LorentzVector(K_MASS);
|
||||
found_k_star = true;
|
||||
}
|
||||
|
||||
if (found_k_star)
|
||||
{
|
||||
Double_t reconstructed_B_Mass = (reconstructed_Kstar + dimuon).M();
|
||||
|
||||
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||
{ return v->IsDataFinite(); }))
|
||||
{
|
||||
for (size_t j = 0; j < vars.size(); j++)
|
||||
{
|
||||
if (vars[j]->IsDouble())
|
||||
{
|
||||
train_vars[j] = vars[j]->GetDataDouble();
|
||||
}
|
||||
else if (vars[j]->IsFloat())
|
||||
{
|
||||
train_vars[j] = vars[j]->GetDataFloat();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
{
|
||||
CheckHlt1Decisioins(h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass, exclusive_hits, reconstructed_B_Mass);
|
||||
FillHlt1DecisionHistos(hlt1_decision_histos, reconstructed_B_Mass);
|
||||
}
|
||||
|
||||
double mva_response = reader->EvaluateMVA("BDT");
|
||||
h1_bdt_probs->Fill(mva_response);
|
||||
|
||||
if (mva_response > mva_cut_value)
|
||||
{
|
||||
if (TMath::Abs(reconstructed_Kstar.M() - KSTAR_MASS) < 100.)
|
||||
{
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
{
|
||||
h1_B_Mass_jpsi->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
else if (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)
|
||||
{
|
||||
h1_B_Mass_psi2s->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
PrintProgress(TString::Format("%s BDT Evaluation", analysis_name), data_entries, 10000, i);
|
||||
}
|
||||
|
||||
std::cout << "# Exclusive Hits" << std::endl;
|
||||
for (const auto &[line, hits] : exclusive_hits)
|
||||
{
|
||||
std::cout << line << ": " << hits << std::endl;
|
||||
}
|
||||
|
||||
// DrawInDefaultCanvas(h2_Hlt1_flags_B_Mass, analysis_name, 0.16, "COLZ");
|
||||
// DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
|
||||
DrawInDefaultCanvas(h1_B_Mass_jpsi, analysis_name, 0.1);
|
||||
DrawInDefaultCanvas(h1_B_Mass_psi2s, analysis_name, 0.1);
|
||||
|
||||
auto roofit_hist_sim = CreateRooFitHistogramAndFitCB(h1_B_Mass_sim, false, false, ShapeParamters{});
|
||||
auto roofit_hist_jpsi_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_jpsi, true, true, roofit_hist_sim.shape_parameters);
|
||||
auto roofit_hist_psi2s_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_psi2s, true, true, roofit_hist_sim.shape_parameters);
|
||||
|
||||
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_sim, analysis_name);
|
||||
|
||||
// DrawHlt1DecisionHistos(analysis_name, hlt1_decision_histos);
|
||||
|
||||
DrawBDTProbs(h1_bdt_probs, mva_cut_value, analysis_name);
|
||||
|
||||
return 0;
|
||||
}
|
||||
160
new_analysis_b02kppimmumu.cpp
Normal file
160
new_analysis_b02kppimmumu.cpp
Normal file
@ -0,0 +1,160 @@
|
||||
#include <string>
|
||||
#include <iostream>
|
||||
#include <cmath>
|
||||
#include <algorithm>
|
||||
#include <filesystem>
|
||||
#include <string_view>
|
||||
|
||||
#include "TH1D.h"
|
||||
#include "TH2D.h"
|
||||
#include "THStack.h"
|
||||
#include "TGraph.h"
|
||||
#include "TTree.h"
|
||||
#include "TChain.h"
|
||||
#include "TFile.h"
|
||||
#include "TCanvas.h"
|
||||
#include "TROOT.h"
|
||||
#include "TStyle.h"
|
||||
#include "TColor.h"
|
||||
#include "TLorentzVector.h"
|
||||
#include "TRandom3.h"
|
||||
#include "TLegend.h"
|
||||
|
||||
#include "RooDataHist.h"
|
||||
#include "RooRealVar.h"
|
||||
#include "RooPlot.h"
|
||||
#include "RooGaussian.h"
|
||||
#include "RooExponential.h"
|
||||
#include "RooRealConstant.h"
|
||||
#include "RooAddPdf.h"
|
||||
#include "RooFitResult.h"
|
||||
#include "RooProduct.h"
|
||||
#include "RooCrystalBall.h"
|
||||
#include "RooBreitWigner.h"
|
||||
#include "RooArgSet.h"
|
||||
#include "RooFFTConvPdf.h"
|
||||
#include "RooNovosibirsk.h"
|
||||
|
||||
#include "constants.h"
|
||||
#include "basic_analysis.h"
|
||||
#include "hlt1_decision_analysis.h"
|
||||
#include "bdt_classification.h"
|
||||
|
||||
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Exclusive B0 To Kp Pim Mu Mu %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
int new_analysis_b02kppimmumu()
|
||||
{
|
||||
const char *analysis_name = "B0ToKpPimMuMu";
|
||||
const char *data_tree_name = "Hlt2RD_B0ToKpPimMuMu";
|
||||
const char *sim_tree_name = "B0ToKpPimMuMu_noPID";
|
||||
const char *end_state_mass_literal = "m(K^{+}#pi^{-}#mu^{+}#mu^{-})";
|
||||
const bool retrain_bdt = true;
|
||||
|
||||
TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
|
||||
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_SprucingPass23r1_94000000_RD.root");
|
||||
|
||||
FourVect *l14v_data = FourVect::Init(data_chain, "muplus");
|
||||
FourVect *l24v_data = FourVect::Init(data_chain, "muminus");
|
||||
FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
|
||||
FourVect *hm4v_data = FourVect::Init(data_chain, "piminus");
|
||||
|
||||
TChain *sim_chain = new TChain(TString::Format("%s/DecayTree", sim_tree_name));
|
||||
sim_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/rd_btoxll_simulation_turbo_v0r0p6657752_B0ToKpPimMuMu_11144002_magdown.root");
|
||||
|
||||
FourVect *l14v_sim = FourVect::Init(sim_chain, "L1");
|
||||
FourVect *l24v_sim = FourVect::Init(sim_chain, "L2");
|
||||
FourVect *hp4v_sim = FourVect::Init(sim_chain, "K");
|
||||
FourVect *hm4v_sim = FourVect::Init(sim_chain, "Pi");
|
||||
|
||||
Int_t B_BKGCAT, L1_TRUEID, L2_TRUEID, Hp_TRUEID, Hm_TRUEID;
|
||||
|
||||
sim_chain->SetBranchAddress("L1_TRUEID", &L1_TRUEID);
|
||||
sim_chain->SetBranchAddress("L2_TRUEID", &L2_TRUEID);
|
||||
sim_chain->SetBranchAddress("K_TRUEID", &Hp_TRUEID);
|
||||
sim_chain->SetBranchAddress("Pi_TRUEID", &Hm_TRUEID);
|
||||
sim_chain->SetBranchAddress("B0_BKGCAT", &B_BKGCAT);
|
||||
|
||||
TH1D *h1_B_Mass_jpsi = new TH1D("h1_B_Mass_jpsi", TString::Format("B Mass, J/#psi Mode (%s)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||
TH1D *h1_B_Mass_psi2s = new TH1D("h1_B_Mass_psi2s", TString::Format("B Mass, #psi(2S) Mode (%s)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||
TH1D *h1_B_Mass_sim = new TH1D("h1_B_Mass_sim", TString::Format("B Mass, Simualted (%s_noPID)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||
TH2D *h2_Hlt1_flags_B_Mass = new TH2D("h2_Hlt1_flags_B_Mass", "Hlt1 Decision vs B Mass", 50, 5100, 5400, 13, 1., 14.);
|
||||
TH2D *h2_Hlt1_flags_excl_B_Mass = new TH2D("h2_Hlt1_flags_excl_B_Mass", "Excl Hlt1 Decision vs B Mass", 50, 5100, 5400, 13, 1., 14.);
|
||||
|
||||
h1_B_Mass_jpsi->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
h1_B_Mass_psi2s->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
h2_Hlt1_flags_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
h2_Hlt1_flags_excl_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
|
||||
ConnectHlt1Decisions(data_chain, h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass);
|
||||
auto hlt1_decision_histos = CreateHlt1DecisionHistos(analysis_name);
|
||||
std::map<std::string, int> exclusive_hits{};
|
||||
|
||||
unsigned int data_entries = data_chain->GetEntries();
|
||||
unsigned int sim_entries = sim_chain->GetEntries();
|
||||
|
||||
for (unsigned int i = 0; i < sim_entries; i++)
|
||||
{
|
||||
sim_chain->GetEntry(i);
|
||||
Double_t reconstructed_B_Mass = (hp4v_sim->LorentzVector() + hm4v_sim->LorentzVector() + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
||||
if (B_BKGCAT == 0 && TMath::Abs(L1_TRUEID) == PID_MUON && L2_TRUEID == -L1_TRUEID && TMath::Abs(Hp_TRUEID) == PID_KAON && TMath::Abs(Hm_TRUEID) == PID_PION)
|
||||
{
|
||||
h1_B_Mass_sim->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
|
||||
PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
|
||||
}
|
||||
|
||||
std::cout << "# Starting evaluation of data." << std::endl;
|
||||
|
||||
for (unsigned int i = 0; i < data_entries; i++)
|
||||
{
|
||||
data_chain->GetEntry(i);
|
||||
|
||||
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
||||
TLorentzVector reconstructed_Kstar = hp4v_data->LorentzVector() + hm4v_data->LorentzVector();
|
||||
Double_t reconstructed_B_Mass = (reconstructed_Kstar + dimuon).M();
|
||||
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
{
|
||||
CheckHlt1Decisioins(h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass, exclusive_hits, reconstructed_B_Mass);
|
||||
FillHlt1DecisionHistos(hlt1_decision_histos, reconstructed_B_Mass);
|
||||
}
|
||||
|
||||
if (TMath::Abs(reconstructed_Kstar.M() - KSTAR_MASS) < 100.)
|
||||
{
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
{
|
||||
h1_B_Mass_jpsi->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
else if (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)
|
||||
{
|
||||
h1_B_Mass_psi2s->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
}
|
||||
|
||||
PrintProgress(TString::Format("%s Data Evaluation", analysis_name), data_entries, 10000, i);
|
||||
}
|
||||
|
||||
std::cout << "# Exclusive Hits" << std::endl;
|
||||
for (const auto &[line, hits] : exclusive_hits)
|
||||
{
|
||||
std::cout << line << ": " << hits << std::endl;
|
||||
}
|
||||
|
||||
DrawInDefaultCanvas(h2_Hlt1_flags_B_Mass, analysis_name, 0.16, "COLZ");
|
||||
DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
|
||||
DrawInDefaultCanvas(h1_B_Mass_jpsi, analysis_name, 0.1);
|
||||
DrawInDefaultCanvas(h1_B_Mass_psi2s, analysis_name, 0.1);
|
||||
|
||||
auto roofit_hist_sim = CreateRooFitHistogramAndFitCB(h1_B_Mass_sim, false, false, ShapeParamters{});
|
||||
auto roofit_hist_jpsi_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_jpsi, true, true, roofit_hist_sim.shape_parameters);
|
||||
auto roofit_hist_psi2s_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_psi2s, true, true, roofit_hist_sim.shape_parameters);
|
||||
|
||||
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_sim, analysis_name);
|
||||
|
||||
DrawHlt1DecisionHistos(analysis_name, hlt1_decision_histos);
|
||||
|
||||
return 0;
|
||||
}
|
||||
@ -42,21 +42,23 @@
|
||||
|
||||
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Bu To Hp Mu Mu %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
int analyze_bu2hpmumu_data()
|
||||
int new_analysis_bu2hpmumu()
|
||||
{
|
||||
const char *analysis_name = "BuToHpMuMu";
|
||||
const char *data_tree_name = "BuToHpMuMu";
|
||||
const char *sim_tree_name = "BuToHpMuMu_noPID";
|
||||
const char *end_state_mass_literal = "m(#pi^{+}_{(#rightarrow K^{+})}#mu^{+}#mu^{-})";
|
||||
const bool retrain_bdt = false;
|
||||
|
||||
TChain *data_chain = new TChain(TString::Format("%s/DecayTree", analysis_name));
|
||||
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/spruce_magdown_2023_v0_tuple_90000000_v0r0p6288631.root");
|
||||
TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
|
||||
// data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/spruce_magdown_2023_v0_tuple_90000000_v0r0p6288631.root");
|
||||
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/spruce_magdown_2023_v0r1_tuple_90000000_2023_v0r0p6288631.root");
|
||||
|
||||
FourVect *l14v_data = FourVect::Init(data_chain, "L1");
|
||||
FourVect *l24v_data = FourVect::Init(data_chain, "L2");
|
||||
FourVect *hp4v_data = FourVect::Init(data_chain, "Hp");
|
||||
|
||||
TChain *sim_chain = new TChain(TString::Format("%s_noPID/DecayTree", analysis_name));
|
||||
TChain *sim_chain = new TChain(TString::Format("%s/DecayTree", sim_tree_name));
|
||||
sim_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/rd_btoxll_simulation_fullstream_v0r0p6671378_BuToKpMuMu_12143001_magdown.root");
|
||||
|
||||
FourVect *l14v_sim = FourVect::Init(sim_chain, "L1");
|
||||
@ -107,7 +109,7 @@ int analyze_bu2hpmumu_data()
|
||||
ConnectVarsToData(vars, data_chain, sim_chain, sig_tree, bkg_tree);
|
||||
|
||||
unsigned int data_entries = data_chain->GetEntries();
|
||||
unsigned int sim_entries = sim_chain->GetEntries();
|
||||
unsigned int sim_entries = data_entries;// sim_chain->GetEntries();
|
||||
|
||||
unsigned int bkg_events = 0;
|
||||
|
||||
@ -167,7 +169,7 @@ int analyze_bu2hpmumu_data()
|
||||
Float_t *train_vars = new Float_t[vars.size()];
|
||||
auto reader = SetupReader(vars, train_vars, "BuToHpMuMu");
|
||||
|
||||
const double mva_cut_value = 0; // 0.09; // -0.02;
|
||||
const double mva_cut_value = -0.03; // 0.09; // -0.02;
|
||||
|
||||
for (unsigned int i = 0; i < data_entries; i++)
|
||||
{
|
||||
@ -230,20 +232,15 @@ int analyze_bu2hpmumu_data()
|
||||
auto roofit_hist_sim = CreateRooFitHistogramAndFitCB(h1_B_Mass_sim, false, false, ShapeParamters{});
|
||||
auto roofit_hist_jpsi_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_jpsi, true, true, roofit_hist_sim.shape_parameters);
|
||||
auto roofit_hist_psi2s_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_psi2s, true, true, roofit_hist_sim.shape_parameters);
|
||||
|
||||
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum.fit_histogram, analysis_name, 0.1);
|
||||
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum.fit_histogram, analysis_name, 0.1);
|
||||
DrawInDefaultCanvas(roofit_hist_sim.fit_histogram, analysis_name, 0.1);
|
||||
|
||||
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_sim, analysis_name);
|
||||
|
||||
DrawHlt1DecisionHistos(analysis_name, hlt1_decision_histos);
|
||||
|
||||
DrawBDTProbs(h1_bdt_probs, mva_cut_value, analysis_name);
|
||||
|
||||
// auto test_bkg_tree_file = TFile::Open("test_bkg_tree.root", "RECREATE");
|
||||
// bkg_tree->Write();
|
||||
// sig_tree->Write();
|
||||
// test_bkg_tree_file->Close();
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
@ -621,7 +618,7 @@ int analyze_Hlt2RD_B0ToKpPimMuMu()
|
||||
return 0;
|
||||
}
|
||||
|
||||
int new_analysis()
|
||||
{
|
||||
return analyze_bu2hpmumu_data();
|
||||
}
|
||||
// int new_analysis()
|
||||
// {
|
||||
// return analyze_bu2hpmumu_data();
|
||||
// }
|
||||
153
new_analysis_bu2kpmumu.cpp
Normal file
153
new_analysis_bu2kpmumu.cpp
Normal file
@ -0,0 +1,153 @@
|
||||
#include <string>
|
||||
#include <iostream>
|
||||
#include <cmath>
|
||||
#include <algorithm>
|
||||
#include <filesystem>
|
||||
#include <string_view>
|
||||
|
||||
#include "TH1D.h"
|
||||
#include "TH2D.h"
|
||||
#include "THStack.h"
|
||||
#include "TGraph.h"
|
||||
#include "TTree.h"
|
||||
#include "TChain.h"
|
||||
#include "TFile.h"
|
||||
#include "TCanvas.h"
|
||||
#include "TROOT.h"
|
||||
#include "TStyle.h"
|
||||
#include "TColor.h"
|
||||
#include "TLorentzVector.h"
|
||||
#include "TRandom3.h"
|
||||
#include "TLegend.h"
|
||||
|
||||
#include "RooDataHist.h"
|
||||
#include "RooRealVar.h"
|
||||
#include "RooPlot.h"
|
||||
#include "RooGaussian.h"
|
||||
#include "RooExponential.h"
|
||||
#include "RooRealConstant.h"
|
||||
#include "RooAddPdf.h"
|
||||
#include "RooFitResult.h"
|
||||
#include "RooProduct.h"
|
||||
#include "RooCrystalBall.h"
|
||||
#include "RooBreitWigner.h"
|
||||
#include "RooArgSet.h"
|
||||
#include "RooFFTConvPdf.h"
|
||||
#include "RooNovosibirsk.h"
|
||||
|
||||
#include "constants.h"
|
||||
#include "basic_analysis.h"
|
||||
#include "hlt1_decision_analysis.h"
|
||||
#include "bdt_classification.h"
|
||||
|
||||
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Exclusive Bu To Kp Mu Mu %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
int new_analysis_bu2kpmumu()
|
||||
{
|
||||
const char *analysis_name = "BuToKpMuMu";
|
||||
const char *data_tree_name = "Hlt2RD_BuToKpMuMu";
|
||||
const char *sim_tree_name = "BuToKpMuMu_noPID";
|
||||
const char *end_state_mass_literal = "m(K^{+}#mu^{+}#mu^{-})";
|
||||
const bool retrain_bdt = true;
|
||||
|
||||
TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
|
||||
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_SprucingPass23r1_94000000_RD.root");
|
||||
|
||||
FourVect *l14v_data = FourVect::Init(data_chain, "muplus");
|
||||
FourVect *l24v_data = FourVect::Init(data_chain, "muminus");
|
||||
FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
|
||||
|
||||
TChain *sim_chain = new TChain(TString::Format("%s/DecayTree", sim_tree_name));
|
||||
sim_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/rd_btoxll_simulation_turbo_v0r0p6657752_BuToKpMuMu_12143001_magdown.root");
|
||||
|
||||
FourVect *l14v_sim = FourVect::Init(sim_chain, "L1");
|
||||
FourVect *l24v_sim = FourVect::Init(sim_chain, "L2");
|
||||
FourVect *hp4v_sim = FourVect::Init(sim_chain, "K");
|
||||
|
||||
Int_t B_BKGCAT, L1_TRUEID, L2_TRUEID, Hp_TRUEID;
|
||||
|
||||
sim_chain->SetBranchAddress("L1_TRUEID", &L1_TRUEID);
|
||||
sim_chain->SetBranchAddress("L2_TRUEID", &L2_TRUEID);
|
||||
sim_chain->SetBranchAddress("K_TRUEID", &Hp_TRUEID);
|
||||
sim_chain->SetBranchAddress("B_BKGCAT", &B_BKGCAT);
|
||||
|
||||
TH1D *h1_B_Mass_jpsi = new TH1D("h1_B_Mass_jpsi", TString::Format("B Mass, J/#psi Mode (%s)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||
TH1D *h1_B_Mass_psi2s = new TH1D("h1_B_Mass_psi2s", TString::Format("B Mass, #psi(2S) Mode (%s)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||
TH1D *h1_B_Mass_sim = new TH1D("h1_B_Mass_sim", TString::Format("B Mass, Simualted (%s_noPID)", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||
TH2D *h2_Hlt1_flags_B_Mass = new TH2D("h2_Hlt1_flags_B_Mass", "Hlt1 Decision vs B Mass", 50, 5100, 5400, 13, 1., 14.);
|
||||
TH2D *h2_Hlt1_flags_excl_B_Mass = new TH2D("h2_Hlt1_flags_excl_B_Mass", "Excl Hlt1 Decision vs B Mass", 50, 5100, 5400, 13, 1., 14.);
|
||||
|
||||
h1_B_Mass_jpsi->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
h1_B_Mass_psi2s->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
h2_Hlt1_flags_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
h2_Hlt1_flags_excl_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||
|
||||
ConnectHlt1Decisions(data_chain, h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass);
|
||||
auto hlt1_decision_histos = CreateHlt1DecisionHistos(analysis_name);
|
||||
std::map<std::string, int> exclusive_hits{};
|
||||
|
||||
unsigned int data_entries = data_chain->GetEntries();
|
||||
unsigned int sim_entries = sim_chain->GetEntries();
|
||||
|
||||
for (unsigned int i = 0; i < sim_entries; i++)
|
||||
{
|
||||
sim_chain->GetEntry(i);
|
||||
Double_t reconstructed_B_Mass = (hp4v_sim->LorentzVector() + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
||||
if (B_BKGCAT == 0 && TMath::Abs(L1_TRUEID) == PID_MUON && L2_TRUEID == -L1_TRUEID && TMath::Abs(Hp_TRUEID) == PID_KAON)
|
||||
{
|
||||
h1_B_Mass_sim->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
|
||||
PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
|
||||
}
|
||||
|
||||
std::cout << "# Starting evaluation of data." << std::endl;
|
||||
|
||||
for (unsigned int i = 0; i < data_entries; i++)
|
||||
{
|
||||
data_chain->GetEntry(i);
|
||||
|
||||
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
||||
Double_t reconstructed_B_Mass = (hp4v_data->LorentzVector() + dimuon).M();
|
||||
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
{
|
||||
CheckHlt1Decisioins(h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass, exclusive_hits, reconstructed_B_Mass);
|
||||
FillHlt1DecisionHistos(hlt1_decision_histos, reconstructed_B_Mass);
|
||||
}
|
||||
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
{
|
||||
h1_B_Mass_jpsi->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
else if (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)
|
||||
{
|
||||
h1_B_Mass_psi2s->Fill(reconstructed_B_Mass);
|
||||
}
|
||||
|
||||
PrintProgress(TString::Format("%s BDT Evaluation", analysis_name), data_entries, 10000, i);
|
||||
}
|
||||
|
||||
std::cout << "# Exclusive Hits" << std::endl;
|
||||
for (const auto &[line, hits] : exclusive_hits)
|
||||
{
|
||||
std::cout << line << ": " << hits << std::endl;
|
||||
}
|
||||
|
||||
DrawInDefaultCanvas(h2_Hlt1_flags_B_Mass, analysis_name, 0.16, "COLZ");
|
||||
DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
|
||||
DrawInDefaultCanvas(h1_B_Mass_jpsi, analysis_name, 0.1);
|
||||
DrawInDefaultCanvas(h1_B_Mass_psi2s, analysis_name, 0.1);
|
||||
|
||||
auto roofit_hist_sim = CreateRooFitHistogramAndFitCB(h1_B_Mass_sim, false, false, ShapeParamters{});
|
||||
auto roofit_hist_jpsi_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_jpsi, true, true, roofit_hist_sim.shape_parameters);
|
||||
auto roofit_hist_psi2s_fitsum = CreateRooFitHistogramAndFitCB(h1_B_Mass_psi2s, true, true, roofit_hist_sim.shape_parameters);
|
||||
|
||||
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
||||
DrawInDefaultCanvas(roofit_hist_sim, analysis_name);
|
||||
|
||||
DrawHlt1DecisionHistos(analysis_name, hlt1_decision_histos);
|
||||
|
||||
return 0;
|
||||
}
|
||||
Loading…
Reference in New Issue
Block a user