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@ -34,7 +34,7 @@ |
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const bool TRAIN_TMVA = false; |
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const bool EVALUATE_TMVA = true; |
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const int N_BINS = 150; |
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const int N_BINS = 130; |
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const double B_PLUS_MASS = 5279.; |
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const double J_PSI_MASS = 3096.; |
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@ -261,9 +261,9 @@ int train_bdt() |
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// files to load
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std::vector<std::string> mc_filenames = |
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{ |
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"/auto/data/pfeiffer/inclusive_detached_dilepton/MC/BuToKpMuMu_rd_btoxll_simulation_12143001_MagDown_v0r0p6316987.root"}; |
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"/auto/data/pfeiffer/inclusive_detached_dilepton/MC/BuToKpMuMu_rd_btoxll_simulation_12143001_MagDown_v0r0p6316365_FULLSTREAM.root"}; |
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TChain *mc_chain = new TChain("BuToKpMuMu23_noPID/DecayTree"); |
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TChain *mc_chain = new TChain("BuToKpMuMu_noPID/DecayTree"); |
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for (unsigned int i = 0; i < mc_filenames.size(); i++) |
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{ |
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mc_chain->Add(mc_filenames.at(i).c_str()); |
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@ -272,7 +272,9 @@ int train_bdt() |
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std::vector<TV> vars{ |
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TV::Float("Bplus_PT", "B_PT"), |
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TV::Float("Bplus_BPVFDCHI2", "B_BPVFDCHI2"), |
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TV::Float("Bplus_BPVDIRA", "B_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("Kplus_BPVIPCHI2", "K_BPVIPCHI2"), |
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TV::Float("Kplus_PT", "K_PT"), |
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@ -378,7 +380,7 @@ int train_bdt() |
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sig_tree->Fill(); |
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added_sig_entries++; |
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if (added_sig_entries >= added_bck_entries) { |
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if (added_sig_entries >= added_bck_entries * 2) { |
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break; |
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} |
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} |
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@ -414,7 +416,7 @@ int train_bdt() |
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data_loader->AddBackgroundTree(bkg_tree, background_weight); |
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data_loader->PrepareTrainingAndTestTree("", "", "nTrain_Signal=0:nTrain_Background=0:SplitMode=Random:NormMode=NumEvents:!V"); |
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factory->BookMethod(data_loader, TMVA::Types::kBDT, "BDT", "!H:!V:NTrees=500:MinNodeSize=2.5%:CreateMVAPdfs:MaxDepth=3:BoostType=AdaBoost:AdaBoostBeta=0.5:UseBaggedBoost:BaggedSampleFraction=0.5:SeparationType=GiniIndex:nCuts=20"); |
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factory->BookMethod(data_loader, TMVA::Types::kBDT, "BDT", "!H:!V:NTrees=600:MinNodeSize=2.5%:CreateMVAPdfs:MaxDepth=3:BoostType=AdaBoost:AdaBoostBeta=0.5:UseBaggedBoost:BaggedSampleFraction=0.5:SeparationType=GiniIndex:nCuts=20"); |
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factory->TrainAllMethods(); |
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factory->TestAllMethods(); |
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@ -477,7 +479,7 @@ int train_bdt() |
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double mva_response = reader->EvaluateMVA("BDT"); |
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h1_probs->Fill(mva_response); |
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const double mva_cut_value = 0.01; |
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const double mva_cut_value = 0.09; // -0.02;
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if (mva_response > mva_cut_value) |
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{ |
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@ -496,12 +498,12 @@ int train_bdt() |
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c1->Draw(); |
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// TCanvas *c3 = new TCanvas("c3", "Canvas 3", 0, 0, 1000, 600);
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TCanvas *c3 = new TCanvas("c3", "Canvas 3", 0, 0, 1000, 600); |
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// auto fitFrame = CreateRooFit(h1_Bplus_M);
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// fitFrame->Draw();
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auto fitFrame = CreateRooFit(h1_Bplus_M); |
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fitFrame->Draw(); |
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// c3->Draw();
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c3->Draw(); |
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} |
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else |
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{ |
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@ -514,31 +516,45 @@ int train_bdt() |
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RooPlot *CreateRooFit(TH1D *hist) |
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{ |
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RooRealVar roo_var_mass("roo_var_mass", "B+ Mass Variable", 4700., 6500.); |
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roo_var_mass.setRange("fitting_range", 5000., 6000.); |
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roo_var_mass.setRange("fitting_range", 4800., 5800.); |
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roo_var_mass.setRange("plot_range", 4700., 6500.); |
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TString hist_name = "roohist_bplus_M"; |
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RooDataHist roohist_bplus_M(hist_name, "B Plus Mass Histogram", roo_var_mass, RooFit::Import(*hist)); |
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// RooRealVar roo_sig_gauss_mean("roo_sig_gauss_mean", "Mass Gauss Mean", 5250., 5100., 5400.);
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// RooRealVar roo_sig_gauss_sigma("roo_sig_gauss_sigma", "Mass Gauss Sigma", 60., 0., 150.);
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RooRealVar roo_sig_gauss_mean("roo_sig_gauss_mean", "Mass Gauss Mean", 5250., 5100., 5400.); |
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RooRealVar roo_sig_gauss_sigma("roo_sig_gauss_sigma", "Mass Gauss Sigma", 30., 20., 40.); |
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// RooGaussian roo_sig_gauss("roo_sig_gauss", "B+ Mass Signal Gaussian", roo_var_mass, roo_sig_gauss_mean, roo_sig_gauss_sigma);
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RooGaussian roo_sig_gauss("roo_sig_gauss", "B+ Mass Signal Gaussian", roo_var_mass, roo_sig_gauss_mean, roo_sig_gauss_sigma); |
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// Crystal Ball for Signal
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RooRealVar roo_sig_cb_x0("roo_sig_cry_x0", "Location", B_PLUS_MASS, 5100., 5400.); |
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RooRealVar roo_sig_cb_sigmaL("roo_sig_cry_sigmaL", "Sigma L", 30., 0., 60.); |
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RooRealVar roo_sig_cb_sigmaR("roo_sig_cry_sigmaR", "Sigma R", 30., 0., 60.); |
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// RooRealVar roo_sig_cb_x0("roo_sig_cry_x0", "Location", B_PLUS_MASS, 5100., 5400.);
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// RooRealVar roo_sig_cb_sigmaL("roo_sig_cry_sigmaL", "Sigma L", 30., 0., 60.);
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// RooRealVar roo_sig_cb_sigmaR("roo_sig_cry_sigmaR", "Sigma R", 30., 0., 60.);
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RooRealVar roo_sig_cb_alphaL("roo_sig_cry_alphaL", "Alpha L", 15., 0., 30.); |
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RooRealVar roo_sig_cb_nL("roo_sig_cry_nL", "Exponent L", 10., 1., 20.); |
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// RooRealVar roo_sig_cb_alphaL("roo_sig_cry_alphaL", "Alpha L", 15., 0., 30.);
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// RooRealVar roo_sig_cb_nL("roo_sig_cry_nL", "Exponent L", 0., -40., 40.);
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RooRealVar roo_sig_cb_alphaR("roo_sig_cry_alphaR", "Alpha R", 15., 0., 30.); |
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RooRealVar roo_sig_cb_nR("roo_sig_cry_nR", "Exponent R", 10., 1., 20.); |
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// RooRealVar roo_sig_cb_alphaR("roo_sig_cry_alphaR", "Alpha R", 15., 0., 30.);
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// RooRealVar roo_sig_cb_nR("roo_sig_cry_nR", "Exponent R", 0., -40., 40.);
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RooCrystalBall roo_sig_cb("roo_sig_cb", "Signal Crystal Ball", roo_var_mass, roo_sig_cb_x0, roo_sig_cb_sigmaL, roo_sig_cb_sigmaR, roo_sig_cb_alphaL, roo_sig_cb_nL, roo_sig_cb_alphaR, roo_sig_cb_nR); |
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// RooCrystalBall roo_sig_cb("roo_sig_cb", "Signal Crystal Ball", roo_var_mass, roo_sig_cb_x0, roo_sig_cb_sigmaL, roo_sig_cb_sigmaR, roo_sig_cb_alphaL, roo_sig_cb_nL, roo_sig_cb_alphaR, roo_sig_cb_nR);
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RooRealVar roo_bkg_exp_c("roo_bkg_exp_c", "Background C", -0.00099021, -0.003, -0.0001); |
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// Double Gauss Signal
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// RooRealVar roo_sig_gauss1_mean("roo_sig_gauss1_mean", "Mass Gauss 1 Mean", 5250., 5200., 5300.);
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// RooRealVar roo_sig_gauss1_sigma("roo_sig_gauss1_sigma", "Mass Gauss 1 Sigma", 60., 0., 150.);
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// RooGaussian roo_sig_gauss1("roo_sig_gauss1", "B+ Mass Signal 1 Gaussian", roo_var_mass, roo_sig_gauss1_mean, roo_sig_gauss1_sigma);
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// RooRealVar roo_sig_gauss2_mean("roo_sig_gauss2_mean", "Mass Gauss 2 Mean", 5250., 5200., 5300.);
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// RooRealVar roo_sig_gauss2_sigma("roo_sig_gauss2_sigma", "Mass Gauss 2 Sigma", 60., 0., 150.);
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// RooGaussian roo_sig_gauss2("roo_sig_gauss2", "B+ Mass Signal 2 Gaussian", roo_var_mass, roo_sig_gauss2_mean, roo_sig_gauss2_sigma);
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// RooRealVar roo_sig_double_gauss_frac("roo_sig_double_gauss_frac", "B+ Mass Signal Double Gauss Frac", 0.5);
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// RooAddPdf roo_sig_double_gauss("roo_sig_double_gauss", "B+ Mass Signal Double Gauss", roo_sig_gauss1, roo_sig_gauss2, roo_sig_double_gauss_frac);
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RooRealVar roo_bkg_exp_c("roo_bkg_exp_c", "Background C", -0.000693147, -0.002, 0.); |
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RooExponential roo_bkg_exp("roo_bkg_exp", "B+ Mass Background Exp", roo_var_mass, roo_bkg_exp_c); |
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RooRealVar roo_var_mass_nsig("roo_var_mass_nsig", "B+ Mass N Signal", 0., hist->GetEntries()); |
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@ -546,11 +562,11 @@ RooPlot *CreateRooFit(TH1D *hist) |
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TString pdf_name = "roo_pdf_sig_plus_bkg"; |
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RooAddPdf roo_pdf_sig_plus_bkg(pdf_name, "Sig + Bkg PDF", |
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RooArgList(roo_sig_cb, roo_bkg_exp), |
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RooArgList(roo_sig_gauss, roo_bkg_exp), |
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RooArgList(roo_var_mass_nsig, roo_var_mass_nbkg)); |
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RooPlot *roo_frame_mass = roo_var_mass.frame(); |
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roohist_bplus_M.plotOn(roo_frame_mass, RooFit::Binning(N_BINS), RooFit::Name(hist_name), RooFit::MarkerColor(18), RooFit::Range("plot_range")); |
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roohist_bplus_M.plotOn(roo_frame_mass, RooFit::Binning(N_BINS), RooFit::Name(hist_name), RooFit::MarkerColor(15), RooFit::Range("plot_range")); |
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RooFitResult *fitres = roo_pdf_sig_plus_bkg.fitTo(roohist_bplus_M, RooFit::Save(), RooFit::PrintLevel(1), RooFit::Range("fitting_range")); |
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@ -561,7 +577,7 @@ RooPlot *CreateRooFit(TH1D *hist) |
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// roo_sig_cb.plotOn(roo_frame_mass, RooFit::LineColor(kAlpine), RooFit::LineStyle(kDashed), RooFit::Range("fitting_range"));
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// roo_bkg_exp.plotOn(roo_frame_mass, RooFit::LineColor(kOrange), RooFit::LineStyle(kDashed), RooFit::Range("fitting_range"));
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roo_sig_cb.paramOn(roo_frame_mass, RooFit::Layout(0.60, 0.99, 0.90)); |
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roo_sig_gauss.paramOn(roo_frame_mass, RooFit::Layout(0.60, 0.99, 0.90)); |
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roo_frame_mass->getAttText()->SetTextSize(0.027); |
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double ymax = roo_frame_mass->GetMaximum(); |
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