alter ana macros to use pre-subbed root files, formatting, constant sigma
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84df7596bf
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5153c4c4d6
@ -98,7 +98,8 @@ struct FittedParam
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this->decimals = decimals;
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this->decimals = decimals;
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}
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}
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FittedParam(std::string name, std::string title, double value, double err, int decimals) {
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FittedParam(std::string name, std::string title, double value, double err, int decimals)
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{
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this->title = title;
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this->title = title;
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this->name = name;
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this->name = name;
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this->value = value;
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this->value = value;
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@ -127,6 +128,7 @@ struct ShapeParamters
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double n_left;
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double n_left;
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double alpha_right;
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double alpha_right;
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double n_right;
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double n_right;
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double sigma_lr;
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};
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};
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struct RooFitSummary
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struct RooFitSummary
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@ -156,17 +158,19 @@ void DrawInDefaultCanvasStacked(std::vector<TH1D *> histograms, std::vector<Colo
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TString name = TString::Format("%s_stack_canvas", histograms[0]->GetName());
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TString name = TString::Format("%s_stack_canvas", histograms[0]->GetName());
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TCanvas *c = new TCanvas(name, histograms[0]->GetName(), 0, 0, 800, 600);
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TCanvas *c = new TCanvas(name, histograms[0]->GetName(), 0, 0, 800, 600);
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c->SetLeftMargin(margin_left);
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c->SetLeftMargin(margin_left);
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std::string drwopt_2 = std::string(option).empty() ? "SAME HIST" : TString::Format("%s SAME HIST", option).Data();
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std::string drwopt_2 = std::string(option).empty() ? "SAME HIST" : TString::Format("%s SAME HIST", option).Data();
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for (size_t i = 0; i < histograms.size(); i++)
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for (size_t i = 0; i < histograms.size(); i++)
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{
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{
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const Double_t scaling_factor = 1.;
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const Double_t scaling_factor = 1.;
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auto hist_clone = (TH1*)histograms[i]->Clone(TString::Format("%s_clone", histograms[i]->GetName()));
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auto hist_clone = (TH1 *)histograms[i]->Clone(TString::Format("%s_clone", histograms[i]->GetName()));
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hist_clone->Scale(scaling_factor / histograms[i]->GetMaximum());
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hist_clone->Scale(scaling_factor / histograms[i]->GetMaximum());
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hist_clone->SetLineColor(colors[i]);
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hist_clone->SetLineColor(colors[i]);
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hist_clone->SetMaximum(scaling_factor + (scaling_factor * 0.05));
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hist_clone->SetMaximum(scaling_factor + (scaling_factor * 0.05));
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hist_clone->SetMinimum(0.);
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hist_clone->SetMinimum(0.);
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hist_clone->SetStats(0);
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hist_clone->SetStats(0);
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if (fill_style[i] != 0) {
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if (fill_style[i] != 0)
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{
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hist_clone->SetFillStyle(fill_style[i]);
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hist_clone->SetFillStyle(fill_style[i]);
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hist_clone->SetFillColor(colors[i]);
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hist_clone->SetFillColor(colors[i]);
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}
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}
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@ -372,7 +376,7 @@ RooPlot *CreateRooFitHistogram(TH1D *hist)
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return roo_frame_mass;
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return roo_frame_mass;
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}
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}
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RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString xAxis, bool hasExpBkg, bool useExtShape, ShapeParamters extShape, Double_t fit_low = 0, Double_t fit_up = 0)
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RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString xAxis, bool hasExpBkg, bool useExtShape, ShapeParamters extShape, bool const_sigma = false, Double_t fit_low = 0, Double_t fit_up = 0)
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{
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{
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auto suffix_name = [name = dataSet->GetName()](const char *text)
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auto suffix_name = [name = dataSet->GetName()](const char *text)
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{
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{
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@ -381,13 +385,13 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
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Double_t fitRangeUp = fit_low == 0 ? B_MASS_VAR_MIN : fit_low;
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Double_t fitRangeUp = fit_low == 0 ? B_MASS_VAR_MIN : fit_low;
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Double_t fitRangeLow = fit_up == 0 ? B_MASS_VAR_MAX : fit_up;
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Double_t fitRangeLow = fit_up == 0 ? B_MASS_VAR_MAX : fit_up;
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RooRealVar roo_var_mass(var_name, "B Mass Variable", B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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RooRealVar roo_var_mass(var_name, "B Mass Variable", B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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const char *fitting_range_name = "fitting_range";
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const char *fitting_range_name = "fitting_range";
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roo_var_mass.setRange(fitting_range_name, fitRangeUp, fitRangeLow);
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roo_var_mass.setRange(fitting_range_name, fitRangeUp, fitRangeLow);
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TString dataset_name = suffix_name("roodataset_B_M");
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TString dataset_name = suffix_name("roodataset_B_M");
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//RooDataHist roodataset_B_M(hist_name, "B Mass Histogram", roo_var_mass, RooFit::Import(*hist));
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// RooDataHist roodataset_B_M(hist_name, "B Mass Histogram", roo_var_mass, RooFit::Import(*hist));
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RooDataSet roodataset_B_M(dataset_name, "B Mass Data Set", roo_var_mass, RooFit::Import(*dataSet));
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RooDataSet roodataset_B_M(dataset_name, "B Mass Data Set", roo_var_mass, RooFit::Import(*dataSet));
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RooPlot *roo_frame_mass = roo_var_mass.frame(RooFit::Title(dataSet->GetTitle()), RooFit::Name(TString::Format("%s_rplt", dataSet->GetName())));
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RooPlot *roo_frame_mass = roo_var_mass.frame(RooFit::Title(dataSet->GetTitle()), RooFit::Name(TString::Format("%s_rplt", dataSet->GetName())));
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@ -405,17 +409,35 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
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if (useExtShape)
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if (useExtShape)
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{
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{
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var_mass_alphaL.setConstant(true);
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if (extShape.alpha_left != 0.)
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var_mass_alphaL.setVal(extShape.alpha_left);
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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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}
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var_mass_nL.setConstant(true);
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if (extShape.n_left != 0.)
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var_mass_nL.setVal(extShape.n_left);
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{
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var_mass_nL.setConstant(true);
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var_mass_nL.setVal(extShape.n_left);
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}
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var_mass_alphaR.setConstant(true);
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if (extShape.alpha_right != 0.)
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var_mass_alphaR.setVal(extShape.alpha_right);
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{
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var_mass_alphaR.setConstant(true);
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var_mass_alphaR.setVal(extShape.alpha_right);
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}
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var_mass_nR.setConstant(true);
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if (extShape.n_right != 0.)
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var_mass_nR.setVal(extShape.n_right);
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{
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var_mass_nR.setConstant(true);
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var_mass_nR.setVal(extShape.n_right);
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}
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if (extShape.sigma_lr != 0. && const_sigma)
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{
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var_mass_sigmaLR.setConstant(true);
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var_mass_sigmaLR.setVal(extShape.sigma_lr);
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}
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}
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}
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TString signal_name = suffix_name("sig_cb");
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TString signal_name = suffix_name("sig_cb");
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@ -452,7 +474,6 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
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fitted_params.push_back(FittedParam(var_mass_nsig, 2));
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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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fitted_params.push_back(FittedParam(var_mass_nbkg, 2));
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double sig_val = var_mass_nsig.getVal();
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double sig_val = var_mass_nsig.getVal();
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double sig_err = var_mass_nsig.getError();
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double sig_err = var_mass_nsig.getError();
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@ -460,8 +481,8 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
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double bkg_err = var_mass_nbkg.getError();
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double bkg_err = var_mass_nbkg.getError();
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double sig_over_bkg_val = sig_val / TMath::Sqrt(sig_val + bkg_val);
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double sig_over_bkg_val = sig_val / TMath::Sqrt(sig_val + bkg_val);
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double err_prop_sig = (sig_val + 2 * bkg_val)/(2 * TMath::Power((sig_val + bkg_val), (3/2)));
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double err_prop_sig = (sig_val + 2 * bkg_val) / (2 * TMath::Power((sig_val + bkg_val), (3 / 2)));
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double err_prop_bkg = -sig_val/(2 * TMath::Power((sig_val + bkg_val), (3/2)));
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double err_prop_bkg = -sig_val / (2 * TMath::Power((sig_val + bkg_val), (3 / 2)));
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double sig_over_bkg_err = TMath::Sqrt(TMath::Sq(err_prop_sig * sig_err) + TMath::Sq(err_prop_bkg * bkg_err));
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double sig_over_bkg_err = TMath::Sqrt(TMath::Sq(err_prop_sig * sig_err) + TMath::Sq(err_prop_bkg * bkg_err));
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fitted_params.push_back(FittedParam("sig_over_bkg", "N_{Sig}/#sqrt{N_{Sig} + N_{Bkg}}", sig_over_bkg_val, sig_over_bkg_err, 2));
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fitted_params.push_back(FittedParam("sig_over_bkg", "N_{Sig}/#sqrt{N_{Sig} + N_{Bkg}}", sig_over_bkg_val, sig_over_bkg_err, 2));
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@ -503,7 +524,8 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
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var_mass_alphaL.getVal(),
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var_mass_alphaL.getVal(),
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var_mass_nL.getVal(),
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var_mass_nL.getVal(),
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var_mass_alphaR.getVal(),
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var_mass_alphaR.getVal(),
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var_mass_nR.getVal()}};
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var_mass_nR.getVal(),
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var_mass_sigmaLR.getVal()}};
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}
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}
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bool InRange(double value, double center, double low_intvl, double up_intvl)
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bool InRange(double value, double center, double low_intvl, double up_intvl)
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@ -89,7 +89,7 @@ int mapmc_b02hphmmumu()
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Double_t Kplus_PROBNN_K_out, piminus_PROBNN_K_out, B0_M_out, muplus_M_out, muminus_M_out, Kplus_M_out, piminus_M_out;
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Double_t Kplus_PROBNN_K_out, piminus_PROBNN_K_out, B0_M_out, muplus_M_out, muminus_M_out, Kplus_M_out, piminus_M_out;
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Int_t muplus_ID_out, muminus_ID_out, Kplus_ID_out, piminus_ID_out;
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Int_t muplus_ID_out, muminus_ID_out, Kplus_ID_out, piminus_ID_out;
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output_tree->Branch("B0_PT", &B0_PT_out, "B0_PT/D");
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output_tree->Branch("B0_PT", &B0_PT_out, "B0_PT/F");
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output_tree->Branch("B0_BPVFDCHI2", &B0_BPVFDCHI2_out, "B0_BPVFDCHI2/F");
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output_tree->Branch("B0_BPVFDCHI2", &B0_BPVFDCHI2_out, "B0_BPVFDCHI2/F");
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output_tree->Branch("B0_BPVDIRA", &B0_BPVDIRA_out, "B0_BPVDIRA/F");
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output_tree->Branch("B0_BPVDIRA", &B0_BPVDIRA_out, "B0_BPVDIRA/F");
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output_tree->Branch("B0_PX", &B0_PX_out, "0_PX/F");
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output_tree->Branch("B0_PX", &B0_PX_out, "0_PX/F");
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@ -45,39 +45,26 @@
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int new_analysis_b02hphmmumu()
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int new_analysis_b02hphmmumu()
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{
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{
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const char *analysis_name = "B0ToHpHmMuMu";
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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 *data_tree_name = "SpruceRD_B0ToHpHmMuMu";
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const char *sim_tree_name = "B0ToHpHmMuMu_noPID";
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const char *sim_tree_name = "B0ToHpHmMuMu_noPID_mapped";
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const char *end_state_mass_literal = "m(#pi^{+}#pi^{-}_{(#rightarrow K^{-})}#mu^{+}#mu^{-} & #pi^{+}_{(#rightarrow K^{+})}#pi^{-}#mu^{+}#mu^{-})";
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const char *end_state_mass_literal = "m(#pi^{+}#pi^{-}_{(#rightarrow K^{-})}#mu^{+}#mu^{-} & #pi^{+}_{(#rightarrow K^{+})}#pi^{-}#mu^{+}#mu^{-})";
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const bool retrain_bdt = false;
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const bool retrain_bdt = false;
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TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
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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/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_Sprucing23r1_90000000_RD.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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FourVect *l14v_data = FourVect::Init(data_chain, "muminus");
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data_chain->SetBranchAddress("Hp_PID_K", &Hp_PID_K);
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FourVect *l24v_data = FourVect::Init(data_chain, "muplus");
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data_chain->SetBranchAddress("Hm_PID_K", &Hm_PID_K);
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FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
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FourVect *hm4v_data = FourVect::Init(data_chain, "piminus");
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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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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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sim_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/B0ToHpHmMuMu_mapped_mc.root");
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FourVect *l14v_sim = FourVect::Init(sim_chain, "L1");
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FourVect *l14v_sim = FourVect::Init(sim_chain, "muminus");
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FourVect *l24v_sim = FourVect::Init(sim_chain, "L2");
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FourVect *l24v_sim = FourVect::Init(sim_chain, "muplus");
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FourVect *hp4v_sim = FourVect::Init(sim_chain, "Hp");
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FourVect *hp4v_sim = FourVect::Init(sim_chain, "Kplus");
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FourVect *hm4v_sim = FourVect::Init(sim_chain, "Hm");
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FourVect *hm4v_sim = FourVect::Init(sim_chain, "piminus");
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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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Double_t B_Mass_jpsi_var, B_Mass_psi2s_var, B_Mass_sim_var;
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Double_t B_Mass_jpsi_var, B_Mass_psi2s_var, B_Mass_sim_var;
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TString B_Mass_jpsi_var_name = "B_Mass_jpsi_var";
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TString B_Mass_jpsi_var_name = "B_Mass_jpsi_var";
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@ -94,14 +81,12 @@ int new_analysis_b02hphmmumu()
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TH1D *h1_B_Mass_unf = new TH1D("h1_B_Mass_unf", TString::Format("B Mass (%s), Unfiltered", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH1D *h1_B_Mass_unf = new TH1D("h1_B_Mass_unf", TString::Format("B Mass (%s), Unfiltered", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH1D *h1_B_Mass_bdtf = new TH1D("h1_B_Mass_bdtf", TString::Format("B Mass (%s), BDT Filter", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH1D *h1_B_Mass_bdtf = new TH1D("h1_B_Mass_bdtf", TString::Format("B Mass (%s), BDT Filter", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH1D *h1_B_Mass_sim_unf = new TH1D("h1_B_Mass_sim_unf", TString::Format("B Mass, Simualted (%s), Unfiltered", sim_tree_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_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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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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TH1D *h1_bdt_probs = new TH1D("h1_bdt_probs", "BDT Probabilities", 100, -1, 1);
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h1_B_Mass_unf->GetXaxis()->SetTitle(end_state_mass_literal);
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h1_B_Mass_unf->GetXaxis()->SetTitle(end_state_mass_literal);
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h1_B_Mass_sim_unf->GetXaxis()->SetTitle(end_state_mass_literal);
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h1_B_Mass_bdtf->GetXaxis()->SetTitle(end_state_mass_literal);
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h1_B_Mass_bdtf->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_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||||
h2_Hlt1_flags_excl_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
h2_Hlt1_flags_excl_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||||
@ -115,17 +100,14 @@ int new_analysis_b02hphmmumu()
|
|||||||
TV::Float("B0_BPVFDCHI2", "B0_BPVFDCHI2"),
|
TV::Float("B0_BPVFDCHI2", "B0_BPVFDCHI2"),
|
||||||
TV::Float("B0_BPVDIRA", "B0_BPVDIRA"),
|
TV::Float("B0_BPVDIRA", "B0_BPVDIRA"),
|
||||||
TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
|
TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
|
||||||
// TV::Float("Jpsi_BPVDIRA", "Jpsi_BPVDIRA"),
|
|
||||||
TV::Float("Jpsi_PT", "Jpsi_PT"),
|
TV::Float("Jpsi_PT", "Jpsi_PT"),
|
||||||
TV::Float("Hp_BPVIPCHI2", "Hp_BPVIPCHI2"),
|
TV::Float("Kplus_BPVIPCHI2", "Kplus_BPVIPCHI2"),
|
||||||
TV::Float("Hp_PT", "Hp_PT"),
|
TV::Float("Kplus_PT", "Kplus_PT"),
|
||||||
TV::Float("Hm_BPVIPCHI2", "Hm_BPVIPCHI2"),
|
TV::Float("piminus_BPVIPCHI2", "piminus_BPVIPCHI2"),
|
||||||
TV::Float("Hm_PT", "Hm_PT"),
|
TV::Float("piminus_PT", "piminus_PT"),
|
||||||
// TV::Double("Kplus_PID_K", "K_PID_K"),
|
TV::Double("Kplus_PROBNN_K", "Kplus_PROBNN_K"),
|
||||||
TV::Double("Hp_PROBNN_K", "Hp_PROBNN_K"),
|
TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
|
||||||
TV::Double("Hm_PROBNN_K", "Hm_PROBNN_K"),
|
TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
|
||||||
TV::Float("L1_BPVIPCHI2", "L1_BPVIPCHI2"),
|
|
||||||
TV::Float("L2_BPVIPCHI2", "L2_BPVIPCHI2"),
|
|
||||||
};
|
};
|
||||||
|
|
||||||
TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
|
TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
|
||||||
@ -145,31 +127,17 @@ int new_analysis_b02hphmmumu()
|
|||||||
for (unsigned int i = 0; i < data_entries; i++)
|
for (unsigned int i = 0; i < data_entries; i++)
|
||||||
{
|
{
|
||||||
data_chain->GetEntry(i);
|
data_chain->GetEntry(i);
|
||||||
TLorentzVector reconstructed_Kstar{};
|
TLorentzVector reconstructed_Kstar = hp4v_data->LorentzVector() + hm4v_data->LorentzVector();
|
||||||
bool found_k_star = false;
|
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
||||||
if (Hp_PID_K > 0 && Hm_PID_K < 0)
|
Double_t reconstructed_B_Mass = (reconstructed_Kstar + dimuon).M();
|
||||||
{
|
|
||||||
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)
|
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||||
|
{ return v->IsDataFinite(); }))
|
||||||
{
|
{
|
||||||
Double_t reconstructed_B_Mass = (reconstructed_Kstar + l14v_data->LorentzVector() + l24v_data->LorentzVector()).M();
|
if (reconstructed_B_Mass > 5500. && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)))
|
||||||
|
|
||||||
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
|
||||||
{ return v->IsDataFinite(); }))
|
|
||||||
{
|
{
|
||||||
if (reconstructed_B_Mass > 5500.)
|
bkg_tree->Fill();
|
||||||
{
|
bkg_events++;
|
||||||
bkg_tree->Fill();
|
|
||||||
bkg_events++;
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -187,50 +155,28 @@ int new_analysis_b02hphmmumu()
|
|||||||
{
|
{
|
||||||
sim_chain->GetEntry(i);
|
sim_chain->GetEntry(i);
|
||||||
|
|
||||||
Double_t reco_mass_pipkp = (hp4v_sim->LorentzVector(K_MASS) + hm4v_sim->LorentzVector() + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
TLorentzVector reconstructed_Kstar = hp4v_sim->LorentzVector() + hm4v_sim->LorentzVector();
|
||||||
Double_t reco_mass_pimkm = (hp4v_sim->LorentzVector() + hm4v_sim->LorentzVector(K_MASS) + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
Double_t reconstructed_B_Mass = (reconstructed_Kstar + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
||||||
h1_B_Mass_sim_unf->Fill(reco_mass_pipkp);
|
|
||||||
h1_B_Mass_sim_unf->Fill(reco_mass_pimkm);
|
|
||||||
|
|
||||||
if (B_BKGCAT == 30 && TMath::Abs(L1_TRUEID) == PID_MUON && L2_TRUEID == -L1_TRUEID)
|
if (sig_events < bkg_events)
|
||||||
{
|
{
|
||||||
TLorentzVector reconstructed_Kstar{};
|
if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||||
bool found_k_star = false;
|
{ return v->IsMCFinite(); }))
|
||||||
if (TMath::Abs(Hp_TRUEID) == PID_KAON && TMath::Abs(Hm_TRUEID) == PID_PION)
|
|
||||||
{
|
{
|
||||||
reconstructed_Kstar = hp4v_sim->LorentzVector(K_MASS) + hm4v_sim->LorentzVector();
|
sig_tree->Fill();
|
||||||
found_k_star = true;
|
sig_events++;
|
||||||
}
|
|
||||||
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 (sig_events < bkg_events)
|
|
||||||
{
|
|
||||||
if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
|
|
||||||
{ return v->IsMCFinite(); }))
|
|
||||||
{
|
|
||||||
sig_tree->Fill();
|
|
||||||
sig_events++;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
B_Mass_sim_var = reconstructed_B_Mass;
|
|
||||||
tree_B_Mass_sim->Fill();
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
B_Mass_sim_var = reconstructed_B_Mass;
|
||||||
|
tree_B_Mass_sim->Fill();
|
||||||
|
|
||||||
PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
|
PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
|
||||||
}
|
}
|
||||||
|
|
||||||
if (retrain_bdt)
|
if (retrain_bdt)
|
||||||
{
|
{
|
||||||
|
std::cout << "# Added " << sig_events << " signal events." << std::endl;
|
||||||
TrainBDT(vars, analysis_name, sig_tree, bkg_tree);
|
TrainBDT(vars, analysis_name, sig_tree, bkg_tree);
|
||||||
std::cout << "# Finished BDT retrain." << std::endl;
|
std::cout << "# Finished BDT retrain." << std::endl;
|
||||||
}
|
}
|
||||||
@ -240,72 +186,57 @@ int new_analysis_b02hphmmumu()
|
|||||||
Float_t *train_vars = new Float_t[vars.size()];
|
Float_t *train_vars = new Float_t[vars.size()];
|
||||||
auto reader = SetupReader(vars, train_vars, analysis_name);
|
auto reader = SetupReader(vars, train_vars, analysis_name);
|
||||||
|
|
||||||
const double mva_cut_value = -0.0508;
|
const double mva_cut_value = 0;
|
||||||
|
|
||||||
for (unsigned int i = 0; i < data_entries; i++)
|
for (unsigned int i = 0; i < data_entries; i++)
|
||||||
{
|
{
|
||||||
data_chain->GetEntry(i);
|
data_chain->GetEntry(i);
|
||||||
|
|
||||||
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
||||||
TLorentzVector reconstructed_Kstar{};
|
TLorentzVector reconstructed_Kstar = hp4v_data->LorentzVector() + hm4v_data->LorentzVector();
|
||||||
bool found_k_star = false;
|
Double_t reconstructed_B_Mass = (reconstructed_Kstar + dimuon).M();
|
||||||
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)
|
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||||
|
{ return v->IsDataFinite(); }))
|
||||||
{
|
{
|
||||||
Double_t reconstructed_B_Mass = (reconstructed_Kstar + dimuon).M();
|
for (size_t j = 0; j < vars.size(); j++)
|
||||||
|
|
||||||
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())
|
||||||
{
|
{
|
||||||
if (vars[j]->IsDouble())
|
train_vars[j] = vars[j]->GetDataDouble();
|
||||||
{
|
}
|
||||||
train_vars[j] = vars[j]->GetDataDouble();
|
else if (vars[j]->IsFloat())
|
||||||
}
|
{
|
||||||
else if (vars[j]->IsFloat())
|
train_vars[j] = vars[j]->GetDataFloat();
|
||||||
{
|
|
||||||
train_vars[j] = vars[j]->GetDataFloat();
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
}
|
||||||
|
|
||||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
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);
|
||||||
|
|
||||||
|
h1_B_Mass_unf->Fill(reconstructed_B_Mass);
|
||||||
|
|
||||||
|
if (mva_response > mva_cut_value)
|
||||||
|
{
|
||||||
|
h1_B_Mass_bdtf->Fill(reconstructed_B_Mass);
|
||||||
|
if (TMath::Abs(reconstructed_Kstar.M() - KSTAR_MASS) < 100.)
|
||||||
{
|
{
|
||||||
CheckHlt1Decisioins(h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass, exclusive_hits, reconstructed_B_Mass);
|
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||||
FillHlt1DecisionHistos(hlt1_decision_histos, reconstructed_B_Mass);
|
|
||||||
}
|
|
||||||
|
|
||||||
double mva_response = reader->EvaluateMVA("BDT");
|
|
||||||
h1_bdt_probs->Fill(mva_response);
|
|
||||||
|
|
||||||
h1_B_Mass_unf->Fill(reconstructed_B_Mass);
|
|
||||||
|
|
||||||
if (mva_response > mva_cut_value)
|
|
||||||
{
|
|
||||||
h1_B_Mass_bdtf->Fill(reconstructed_B_Mass);
|
|
||||||
if (TMath::Abs(reconstructed_Kstar.M() - KSTAR_MASS) < 100.)
|
|
||||||
{
|
{
|
||||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
B_Mass_jpsi_var = reconstructed_B_Mass;
|
||||||
{
|
tree_B_Mass_jpsi->Fill();
|
||||||
B_Mass_jpsi_var = reconstructed_B_Mass;
|
}
|
||||||
tree_B_Mass_jpsi->Fill();
|
else if (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)
|
||||||
}
|
{
|
||||||
else if (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)
|
B_Mass_psi2s_var = reconstructed_B_Mass;
|
||||||
{
|
tree_B_Mass_psi2s->Fill();
|
||||||
B_Mass_psi2s_var = reconstructed_B_Mass;
|
|
||||||
tree_B_Mass_psi2s->Fill();
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
@ -321,16 +252,15 @@ int new_analysis_b02hphmmumu()
|
|||||||
|
|
||||||
DrawInDefaultCanvas(h2_Hlt1_flags_B_Mass, analysis_name, 0.16, "COLZ");
|
DrawInDefaultCanvas(h2_Hlt1_flags_B_Mass, analysis_name, 0.16, "COLZ");
|
||||||
DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
|
DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
|
||||||
|
|
||||||
DrawInDefaultCanvas(h1_B_Mass_unf, analysis_name, 0.1);
|
DrawInDefaultCanvas(h1_B_Mass_unf, analysis_name, 0.1);
|
||||||
DrawInDefaultCanvas(h1_B_Mass_sim_unf, analysis_name, 0.1);
|
|
||||||
DrawInDefaultCanvas(h1_B_Mass_bdtf, analysis_name, 0.1);
|
DrawInDefaultCanvas(h1_B_Mass_bdtf, analysis_name, 0.1);
|
||||||
|
|
||||||
DrawInDefaultCanvasStacked({h1_B_Mass_unf, h1_B_Mass_bdtf}, {kRed, kBlue}, {0, 3003}, analysis_name);
|
DrawInDefaultCanvasStacked({h1_B_Mass_unf, h1_B_Mass_bdtf}, {kRed, kBlue}, {0, 3003}, analysis_name);
|
||||||
|
|
||||||
auto roofit_hist_sim = CreateRooDataSetAndFitCB(tree_B_Mass_sim, B_Mass_sim_var_name, end_state_mass_literal, false, false, ShapeParamters{});
|
auto roofit_hist_sim = CreateRooDataSetAndFitCB(tree_B_Mass_sim, B_Mass_sim_var_name, end_state_mass_literal, false, false, ShapeParamters{});
|
||||||
auto roofit_hist_jpsi_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_jpsi, B_Mass_jpsi_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters);
|
auto roofit_hist_jpsi_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_jpsi, B_Mass_jpsi_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters);
|
||||||
auto roofit_hist_psi2s_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_psi2s, B_Mass_psi2s_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters);
|
auto roofit_hist_psi2s_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_psi2s, B_Mass_psi2s_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters, true);
|
||||||
|
|
||||||
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
||||||
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
||||||
|
@ -45,34 +45,24 @@
|
|||||||
int new_analysis_bu2hpmumu()
|
int new_analysis_bu2hpmumu()
|
||||||
{
|
{
|
||||||
const char *analysis_name = "BuToHpMuMu";
|
const char *analysis_name = "BuToHpMuMu";
|
||||||
const char *data_tree_name = "BuToHpMuMu";
|
const char *data_tree_name = "SpruceRD_BuToHpMuMu";
|
||||||
const char *sim_tree_name = "BuToHpMuMu_noPID";
|
const char *sim_tree_name = "BuToHpMuMu_noPID_mapped";
|
||||||
const char *end_state_mass_literal = "m(#pi^{+}_{(#rightarrow K^{+})}#mu^{+}#mu^{-})";
|
const char *end_state_mass_literal = "m(#pi^{+}_{(#rightarrow K^{+})}#mu^{+}#mu^{-})";
|
||||||
const bool retrain_bdt = false;
|
const bool retrain_bdt = false;
|
||||||
|
|
||||||
TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
|
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/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_Sprucing23r1_90000000_RD.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 *l14v_data = FourVect::Init(data_chain, "muminus");
|
||||||
FourVect *l24v_data = FourVect::Init(data_chain, "L2");
|
FourVect *l24v_data = FourVect::Init(data_chain, "muplus");
|
||||||
FourVect *hp4v_data = FourVect::Init(data_chain, "Hp");
|
FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
|
||||||
|
|
||||||
TChain *sim_chain = new TChain(TString::Format("%s/DecayTree", sim_tree_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");
|
sim_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/BuToHpMuMu_mapped_mc.root");
|
||||||
|
|
||||||
FourVect *l14v_sim = FourVect::Init(sim_chain, "L1");
|
FourVect *l14v_sim = FourVect::Init(sim_chain, "muminus");
|
||||||
FourVect *l24v_sim = FourVect::Init(sim_chain, "L2");
|
FourVect *l24v_sim = FourVect::Init(sim_chain, "muplus");
|
||||||
FourVect *hp4v_sim = FourVect::Init(sim_chain, "Hp");
|
FourVect *hp4v_sim = FourVect::Init(sim_chain, "Kplus");
|
||||||
|
|
||||||
Int_t B_BKGCAT, L1_TRUEID, L2_TRUEID, Hp_TRUEID;
|
|
||||||
Double_t Hp_PID_K_sim;
|
|
||||||
|
|
||||||
sim_chain->SetBranchAddress("L1_TRUEID", &L1_TRUEID);
|
|
||||||
sim_chain->SetBranchAddress("L2_TRUEID", &L2_TRUEID);
|
|
||||||
sim_chain->SetBranchAddress("Hp_TRUEID", &Hp_TRUEID);
|
|
||||||
sim_chain->SetBranchAddress("B_BKGCAT", &B_BKGCAT);
|
|
||||||
sim_chain->SetBranchAddress("Hp_PID_K", &Hp_PID_K_sim);
|
|
||||||
|
|
||||||
Double_t B_Mass_jpsi_var, B_Mass_psi2s_var, B_Mass_sim_var;
|
Double_t B_Mass_jpsi_var, B_Mass_psi2s_var, B_Mass_sim_var;
|
||||||
TString B_Mass_jpsi_var_name = "B_Mass_jpsi_var";
|
TString B_Mass_jpsi_var_name = "B_Mass_jpsi_var";
|
||||||
@ -89,16 +79,12 @@ int new_analysis_bu2hpmumu()
|
|||||||
|
|
||||||
TH1D *h1_B_Mass_unf = new TH1D("h1_B_Mass_unf", TString::Format("B Mass (%s), Unfiltered", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
TH1D *h1_B_Mass_unf = new TH1D("h1_B_Mass_unf", TString::Format("B Mass (%s), Unfiltered", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||||
TH1D *h1_B_Mass_bdtf = new TH1D("h1_B_Mass_bdtf", TString::Format("B Mass (%s), BDT Filter", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
TH1D *h1_B_Mass_bdtf = new TH1D("h1_B_Mass_bdtf", TString::Format("B Mass (%s), BDT Filter", data_tree_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
|
||||||
TH1D *h1_B_Mass_sim_unf = new TH1D("h1_B_Mass_sim_unf", TString::Format("B Mass, Simualted (%s), Unfiltered", sim_tree_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_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.);
|
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.);
|
||||||
TH1D *h1_bdt_probs = new TH1D("h1_bdt_probs", "BDT Probabilities", 100, -2, 2);
|
TH1D *h1_bdt_probs = new TH1D("h1_bdt_probs", "BDT Probabilities", 100, -2, 2);
|
||||||
TH1D *h1_Hp_PID_K_pref = new TH1D("h1_Hp_PID_K_pref", "H^{+} PID K, Before TrueID", 50, -10, 10);
|
|
||||||
TH1D *h1_Hp_PID_K_postf = new TH1D("h1_Hp_PID_K_postf", "H^{+} PID K, After TrueID", 50, -10, 10);
|
|
||||||
|
|
||||||
h1_B_Mass_unf->GetXaxis()->SetTitle(end_state_mass_literal);
|
h1_B_Mass_unf->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||||
h1_B_Mass_sim_unf->GetXaxis()->SetTitle(end_state_mass_literal);
|
|
||||||
h1_B_Mass_bdtf->GetXaxis()->SetTitle(end_state_mass_literal);
|
h1_B_Mass_bdtf->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||||
h2_Hlt1_flags_B_Mass->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);
|
h2_Hlt1_flags_excl_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
|
||||||
@ -112,14 +98,12 @@ int new_analysis_bu2hpmumu()
|
|||||||
TV::Float("B_BPVFDCHI2", "B_BPVFDCHI2"),
|
TV::Float("B_BPVFDCHI2", "B_BPVFDCHI2"),
|
||||||
TV::Float("B_BPVDIRA", "B_BPVDIRA"),
|
TV::Float("B_BPVDIRA", "B_BPVDIRA"),
|
||||||
TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
|
TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
|
||||||
// TV::Float("Jpsi_BPVDIRA", "Jpsi_BPVDIRA"),
|
|
||||||
TV::Float("Jpsi_PT", "Jpsi_PT"),
|
TV::Float("Jpsi_PT", "Jpsi_PT"),
|
||||||
TV::Float("Hp_BPVIPCHI2", "Hp_BPVIPCHI2"),
|
TV::Float("Kplus_BPVIPCHI2", "Kplus_BPVIPCHI2"),
|
||||||
TV::Float("Hp_PT", "Hp_PT"),
|
TV::Float("Kplus_PT", "Kplus_PT"),
|
||||||
// TV::Double("Kplus_PID_K", "K_PID_K"),
|
TV::Double("Kplus_PROBNN_K", "Kplus_PROBNN_K"),
|
||||||
TV::Double("Hp_PROBNN_K", "Hp_PROBNN_K"),
|
TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
|
||||||
TV::Float("L1_BPVIPCHI2", "L1_BPVIPCHI2"),
|
TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
|
||||||
TV::Float("L2_BPVIPCHI2", "L2_BPVIPCHI2"),
|
|
||||||
};
|
};
|
||||||
|
|
||||||
TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
|
TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
|
||||||
@ -141,12 +125,13 @@ int new_analysis_bu2hpmumu()
|
|||||||
for (unsigned int i = 0; i < data_entries; i++)
|
for (unsigned int i = 0; i < data_entries; i++)
|
||||||
{
|
{
|
||||||
data_chain->GetEntry(i);
|
data_chain->GetEntry(i);
|
||||||
Double_t reconstructed_B_Mass = (hp4v_data->LorentzVector(K_MASS) + l14v_data->LorentzVector() + l24v_data->LorentzVector()).M();
|
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
||||||
|
Double_t reconstructed_B_Mass = (hp4v_data->LorentzVector() + dimuon).M();
|
||||||
|
|
||||||
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||||
{ return v->IsDataFinite(); }))
|
{ return v->IsDataFinite(); }))
|
||||||
{
|
{
|
||||||
if (reconstructed_B_Mass > 5500.)
|
if (reconstructed_B_Mass > 5500. && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)))
|
||||||
{
|
{
|
||||||
bkg_tree->Fill();
|
bkg_tree->Fill();
|
||||||
bkg_events++;
|
bkg_events++;
|
||||||
@ -166,48 +151,43 @@ int new_analysis_bu2hpmumu()
|
|||||||
for (unsigned int i = 0; i < sim_entries; i++)
|
for (unsigned int i = 0; i < sim_entries; i++)
|
||||||
{
|
{
|
||||||
sim_chain->GetEntry(i);
|
sim_chain->GetEntry(i);
|
||||||
Double_t reconstructed_B_Mass = (hp4v_sim->LorentzVector(K_MASS) + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
Double_t reconstructed_B_Mass = (hp4v_sim->LorentzVector() + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
|
||||||
h1_Hp_PID_K_pref->Fill(Hp_PID_K_sim);
|
if (sig_events < bkg_events)
|
||||||
h1_B_Mass_sim_unf->Fill(reconstructed_B_Mass);
|
|
||||||
if (B_BKGCAT == 30 && TMath::Abs(L1_TRUEID) == PID_MUON && L2_TRUEID == -L1_TRUEID && TMath::Abs(Hp_TRUEID) == PID_KAON)
|
|
||||||
{
|
{
|
||||||
h1_Hp_PID_K_postf->Fill(Hp_PID_K_sim);
|
if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||||
if (sig_events < bkg_events)
|
{ return v->IsMCFinite(); }))
|
||||||
{
|
{
|
||||||
if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
|
sig_tree->Fill();
|
||||||
{ return v->IsMCFinite(); }))
|
sig_events++;
|
||||||
{
|
|
||||||
sig_tree->Fill();
|
|
||||||
sig_events++;
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
B_Mass_sim_var = reconstructed_B_Mass;
|
|
||||||
tree_B_Mass_sim->Fill();
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
B_Mass_sim_var = reconstructed_B_Mass;
|
||||||
|
tree_B_Mass_sim->Fill();
|
||||||
|
|
||||||
PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
|
PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
|
||||||
}
|
}
|
||||||
|
|
||||||
if (retrain_bdt)
|
if (retrain_bdt)
|
||||||
{
|
{
|
||||||
TrainBDT(vars, "BuToHpMuMu", sig_tree, bkg_tree);
|
std::cout << "# Added " << sig_events << " signal events." << std::endl;
|
||||||
|
TrainBDT(vars, analysis_name, sig_tree, bkg_tree);
|
||||||
std::cout << "# Finished BDT retrain." << std::endl;
|
std::cout << "# Finished BDT retrain." << std::endl;
|
||||||
}
|
}
|
||||||
|
|
||||||
std::cout << "# Starting evaluation of data." << std::endl;
|
std::cout << "# Starting evaluation of data." << std::endl;
|
||||||
|
|
||||||
Float_t *train_vars = new Float_t[vars.size()];
|
Float_t *train_vars = new Float_t[vars.size()];
|
||||||
auto reader = SetupReader(vars, train_vars, "BuToHpMuMu");
|
auto reader = SetupReader(vars, train_vars, analysis_name);
|
||||||
|
|
||||||
const double mva_cut_value = -0.02;
|
const double mva_cut_value = -0.05;
|
||||||
|
|
||||||
for (unsigned int i = 0; i < data_entries; i++)
|
for (unsigned int i = 0; i < data_entries; i++)
|
||||||
{
|
{
|
||||||
data_chain->GetEntry(i);
|
data_chain->GetEntry(i);
|
||||||
|
|
||||||
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
|
||||||
Double_t reconstructed_B_Mass = (hp4v_data->LorentzVector(K_MASS) + dimuon).M();
|
Double_t reconstructed_B_Mass = (hp4v_data->LorentzVector() + dimuon).M();
|
||||||
|
|
||||||
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
|
||||||
{ return v->IsDataFinite(); }))
|
{ return v->IsDataFinite(); }))
|
||||||
@ -264,15 +244,13 @@ int new_analysis_bu2hpmumu()
|
|||||||
DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
|
DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
|
||||||
|
|
||||||
DrawInDefaultCanvas(h1_B_Mass_unf, analysis_name, 0.1);
|
DrawInDefaultCanvas(h1_B_Mass_unf, analysis_name, 0.1);
|
||||||
DrawInDefaultCanvas(h1_B_Mass_sim_unf, analysis_name, 0.1);
|
|
||||||
DrawInDefaultCanvas(h1_B_Mass_bdtf, analysis_name, 0.1);
|
DrawInDefaultCanvas(h1_B_Mass_bdtf, analysis_name, 0.1);
|
||||||
|
|
||||||
DrawInDefaultCanvasStacked({h1_Hp_PID_K_pref, h1_Hp_PID_K_postf}, {kRed, kBlue}, {0, 3003}, analysis_name);
|
|
||||||
DrawInDefaultCanvasStacked({h1_B_Mass_unf, h1_B_Mass_bdtf}, {kRed, kBlue}, {0, 3003}, analysis_name);
|
DrawInDefaultCanvasStacked({h1_B_Mass_unf, h1_B_Mass_bdtf}, {kRed, kBlue}, {0, 3003}, analysis_name);
|
||||||
|
|
||||||
auto roofit_hist_sim = CreateRooDataSetAndFitCB(tree_B_Mass_sim, B_Mass_sim_var_name, end_state_mass_literal, false, false, ShapeParamters{});
|
auto roofit_hist_sim = CreateRooDataSetAndFitCB(tree_B_Mass_sim, B_Mass_sim_var_name, end_state_mass_literal, false, false, ShapeParamters{});
|
||||||
auto roofit_hist_jpsi_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_jpsi, B_Mass_jpsi_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters);
|
auto roofit_hist_jpsi_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_jpsi, B_Mass_jpsi_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters);
|
||||||
auto roofit_hist_psi2s_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_psi2s, B_Mass_psi2s_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters);
|
auto roofit_hist_psi2s_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_psi2s, B_Mass_psi2s_var_name, end_state_mass_literal, true, true, roofit_hist_sim.shape_parameters, true);
|
||||||
|
|
||||||
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
|
||||||
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
|
||||||
|
Loading…
Reference in New Issue
Block a user