bdt train and eval makro for new data

.gitignore

@@ -1 +1,3 @@
 *.root
+dataloader/**
+branchnames.txt

inspect_tree.cpp

@@ -0,0 +1,35 @@
+#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 "TLorentzVector.h"
+#include "TMVA/Factory.h"
+#include "TMVA/DataLoader.h"
+
+#include <string>
+#include <iostream>
+#include <cmath>
+
+int inspect_tree() {
+    auto file = TFile::Open("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/BuToKpMuMu_rd_btoxll_simulation_12143001_MagDown_v0r0p6316987.root", "READ");
+    auto tree = file->Get<TTree>("BuToKpMuMu23_noPID/DecayTree");
+    auto branches = tree->GetListOfBranches();
+
+    for (size_t i = 0; i < branches->GetSize(); i++)
+    {
+        TBranch* b = (TBranch*) branches->At(i);
+        std::cout << b->GetName() << std::endl;
+    }
+
+    file->Close();
+    return 0;
+}

pre_selection_cuts.cpp

@@ -26,6 +26,7 @@
 
 #include <string>
 #include <iostream>
+#include <cmath>
 
 const int nBins = 150;
 
@@ -143,6 +144,10 @@ int pre_selection_cuts()
         data_chain->GetEntry(i);
         const double JSPI_MASS = 3096.;
 
+        if (!std::isfinite(Jpsi_BPVIPCHI2) || !std::isfinite(Jpsi_M)) {
+            std::cout << "INF Value (" << i << ") Jpsi_BPVIPCHI2: " << Jpsi_BPVIPCHI2 << ", Jpsi_M: " << Jpsi_M << std::endl;
+        }
+
         /*
         B+ PT > 1500.
         B+ FDCHI2 > 100.

train_bdt.cpp

@@ -0,0 +1,579 @@
+#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 "TLorentzVector.h"
+#include "TMVA/Factory.h"
+#include "TMVA/DataLoader.h"
+#include "TMVA/Reader.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 <string>
+#include <iostream>
+#include <cmath>
+
+const bool TRAIN_TMVA = false;
+const bool EVALUATE_TMVA = true;
+
+const int N_BINS = 150;
+
+const double B_PLUS_MASS = 5279.;
+const double J_PSI_MASS = 3096.;
+
+RooPlot *CreateRooFit(TH1D *hist);
+
+bool inRange(double value, double center, double low_intvl, double up_intvl) {
+    return center - low_intvl < value && value < center + up_intvl;
+}
+
+bool inRange(double value, double center, double intvl) {
+    return inRange(value, center, intvl, intvl);
+}
+
+class FourVector {
+    private:
+        Float_t px;
+        Float_t py;
+        Float_t pz;
+        Float_t energy;
+
+    public:
+
+        TLorentzVector LV() {
+            return TLorentzVector(px, py, pz, energy);
+        }
+
+        void Print() {
+            std::cout << TString::Format("(PX: %f, PY: %f, PZ: %f, E: %f)", px, py, pz, energy) << std::endl;
+        }
+
+        void Connect(TChain* chain, std::string name) {
+            chain->SetBranchAddress(TString::Format("%s_PX", name.c_str()), &px);
+            chain->SetBranchAddress(TString::Format("%s_PY", name.c_str()), &py);
+            chain->SetBranchAddress(TString::Format("%s_PZ", name.c_str()), &pz);
+            chain->SetBranchAddress(TString::Format("%s_ENERGY", name.c_str()), &energy);
+        }
+};
+
+enum TVT
+{
+    Double,
+    Float,
+    Int
+};
+
+class TV
+{
+private:
+    std::string data_name;
+    std::string mc_name;
+    std::string train_name;
+    TVT type;
+    Double_t mc_double_value;
+    Float_t mc_float_value;
+    Double_t data_double_value;
+    Float_t data_float_value;
+
+    TV(std::string data_name, std::string mc_name, std::string train_name, TVT type)
+        : data_name{data_name}, mc_name{mc_name}, train_name{train_name}, type{type}
+    {
+    }
+
+public:
+    static TV Float(std::string data_name, std::string mc_name, std::string train_name)
+    {
+        return TV(data_name, mc_name, train_name, TVT::Float);
+    }
+
+    static TV Float(std::string data_name, std::string mc_name)
+    {
+        return TV(data_name, mc_name, data_name, TVT::Float);
+    }
+
+    static TV Float(std::string data_name)
+    {
+        return TV(data_name, data_name, data_name, TVT::Float);
+    }
+
+    static TV Double(std::string data_name, std::string mc_name, std::string train_name)
+    {
+        return TV(data_name, mc_name, train_name, TVT::Double);
+    }
+
+    static TV Double(std::string data_name, std::string mc_name)
+    {
+        return TV(data_name, mc_name, data_name, TVT::Double);
+    }
+
+    static TV Double(std::string data_name)
+    {
+        return TV(data_name, data_name, data_name, TVT::Double);
+    }
+
+    const char *GetDataName()
+    {
+        return data_name.c_str();
+    }
+
+    const char *GetMCName()
+    {
+        return mc_name.c_str();
+    }
+
+    const char *GetTrainName()
+    {
+        return train_name.c_str();
+    }
+
+    Double_t *GetMCDoubleRef()
+    {
+        return &mc_double_value;
+    }
+
+    Float_t *GetMCFloatRef()
+    {
+        return &mc_float_value;
+    }
+
+    Double_t *GetDataDoubleRef()
+    {
+        return &data_double_value;
+    }
+
+    Float_t *GetDataFloatRef()
+    {
+        return &data_float_value;
+    }
+
+    Double_t GetDataDouble()
+    {
+        return data_double_value;
+    }
+
+    Float_t GetDataFloat()
+    {
+        return data_float_value;
+    }
+
+    void PrintDataValue(int entry)
+    {
+        std::cout << data_name << " (" << entry << "): ";
+        if (IsDouble())
+        {
+            std::cout << data_double_value;
+        }
+        else if (IsFloat())
+        {
+            std::cout << data_float_value;
+        }
+
+        std::cout << std::endl;
+    }
+
+    void PrintMCValue(int entry)
+    {
+        std::cout << mc_name << " (" << entry << "): ";
+        if (IsDouble())
+        {
+            std::cout << mc_double_value;
+        }
+        else if (IsFloat())
+        {
+            std::cout << mc_float_value;
+        }
+
+        std::cout << std::endl;
+    }
+
+    bool IsDataFinite()
+    {
+        if (IsDouble())
+        {
+            return std::isfinite(data_double_value);
+        }
+        else if (IsFloat())
+        {
+            return std::isfinite(data_float_value);
+        }
+
+        return false;
+    }
+
+    bool IsMCFinite()
+    {
+        if (IsDouble())
+        {
+            return std::isfinite(mc_double_value);
+        }
+        else if (IsFloat())
+        {
+            return std::isfinite(mc_float_value);
+        }
+
+        return false;
+    }
+
+    bool IsDouble()
+    {
+        return type == TVT::Double;
+    }
+
+    bool IsFloat()
+    {
+        return type == TVT::Float;
+    }
+};
+
+int train_bdt()
+{
+    std::cout << TString::Format("Starting Up With TRAIN_TMVA=%d AND EVALUATE_TMVA=%d.", TRAIN_TMVA, EVALUATE_TMVA) << std::endl;
+
+    // files to load
+    std::vector<std::string> data_filenames =
+        {
+            "/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/BuToKpMuMu_Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_Sprucing23r1_90000000_RD.root"};
+
+    TChain *data_chain = new TChain("SpruceRD_BuToKpMuMu/DecayTree");
+    for (unsigned int i = 0; i < data_filenames.size(); i++)
+    {
+        data_chain->Add(data_filenames.at(i).c_str());
+    }
+
+    // files to load
+    std::vector<std::string> mc_filenames =
+        {
+            "/auto/data/pfeiffer/inclusive_detached_dilepton/MC/BuToKpMuMu_rd_btoxll_simulation_12143001_MagDown_v0r0p6316987.root"};
+
+    TChain *mc_chain = new TChain("BuToKpMuMu23_noPID/DecayTree");
+    for (unsigned int i = 0; i < mc_filenames.size(); i++)
+    {
+        mc_chain->Add(mc_filenames.at(i).c_str());
+    }
+
+    std::vector<TV> vars{
+        TV::Float("Bplus_PT", "B_PT"),
+        TV::Float("Bplus_BPVFDCHI2", "B_BPVFDCHI2"),
+        TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
+        TV::Float("Jpsi_PT", "Jpsi_PT"),
+        TV::Float("Kplus_BPVIPCHI2", "K_BPVIPCHI2"),
+        TV::Float("Kplus_PT", "K_PT"),
+        // TV::Double("Kplus_PID_K", "K_PID_K"),
+        TV::Double("Kplus_PROBNN_K", "K_PROBNN_K"),
+        TV::Float("muplus_BPVIPCHI2", "L1_BPVIPCHI2"),
+        TV::Float("muminus_BPVIPCHI2", "L2_BPVIPCHI2"),
+    };
+
+    TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
+    TTree *bkg_tree = new TTree("TreeB", "tree containing background data");
+
+    Double_t Bplus_M, B_M, K_PID_K;
+
+    data_chain->SetBranchAddress("Bplus_M", &Bplus_M);
+    mc_chain->SetBranchAddress("B_M", &B_M);
+    mc_chain->SetBranchAddress("K_PID_K", &K_PID_K);
+
+    FourVector muplus_4v, muminus_4v;
+    muplus_4v.Connect(mc_chain, "L1");
+    muminus_4v.Connect(mc_chain, "L2");
+
+    for (size_t i = 0; i < vars.size(); i++)
+    {
+        if (vars[i].IsDouble())
+        {
+            data_chain->SetBranchAddress(vars[i].GetDataName(), vars[i].GetDataDoubleRef());
+            mc_chain->SetBranchAddress(vars[i].GetMCName(), vars[i].GetMCDoubleRef());
+            sig_tree->Branch(vars[i].GetTrainName(), vars[i].GetMCDoubleRef(), TString::Format("%s/D", vars[i].GetTrainName()));
+            bkg_tree->Branch(vars[i].GetTrainName(), vars[i].GetDataDoubleRef(), TString::Format("%s/D", vars[i].GetTrainName()));
+        }
+        else if (vars[i].IsFloat())
+        {
+            data_chain->SetBranchAddress(vars[i].GetDataName(), vars[i].GetDataFloatRef());
+            mc_chain->SetBranchAddress(vars[i].GetMCName(), vars[i].GetMCFloatRef());
+            sig_tree->Branch(vars[i].GetTrainName(), vars[i].GetMCFloatRef(), TString::Format("%s/F", vars[i].GetTrainName()));
+            bkg_tree->Branch(vars[i].GetTrainName(), vars[i].GetDataFloatRef(), TString::Format("%s/F", vars[i].GetTrainName()));
+        }
+    }
+
+    unsigned int data_entries = data_chain->GetEntries();
+    unsigned int mc_entries = mc_chain->GetEntries();
+
+    if (TRAIN_TMVA)
+    {
+        std::cout << "----- Start TMVA Setup -----" << std::endl;
+
+        std::cout << "----- Setting Up Signal and Background Tree -----" << std::endl;
+
+        unsigned int added_bck_entries = 0;
+        unsigned int added_sig_entries = 0;
+
+        std::cout << "----- Processing Data -----" << std::endl;
+
+        for (unsigned int i = 0; i < data_entries; i++)
+        {
+            data_chain->GetEntry(i);
+
+            bool skip = false;
+            for (size_t j = 0; j < vars.size(); j++)
+            {
+                if (!vars[j].IsDataFinite())
+                {
+                    vars[j].PrintDataValue(i);
+                    skip = true;
+                }
+            }
+
+            if (skip)
+            {
+                continue;
+            }
+
+            if (Bplus_M > 5500.)
+            {
+                bkg_tree->Fill();
+                added_bck_entries++;
+            }
+        }
+
+        std::cout << "----- Processing Simulation -----" << std::endl;
+
+        for (unsigned int i = 0; i < mc_entries; i++)
+        {
+            mc_chain->GetEntry(i);
+
+            bool skip = false;
+            for (size_t j = 0; j < vars.size(); j++)
+            {
+                if (!vars[j].IsMCFinite())
+                {
+                    vars[j].PrintMCValue(i);
+                    skip = true;
+                }
+            }
+
+            Double_t mumu_inv_mass = (muplus_4v.LV() + muminus_4v.LV()).M();
+
+            if (skip || !inRange(B_M, B_PLUS_MASS, 100.) || !inRange(mumu_inv_mass, J_PSI_MASS, 100.) || K_PID_K < 0.)
+            {
+                continue;
+            }
+
+            sig_tree->Fill();
+            added_sig_entries++;
+            if (added_sig_entries >= added_bck_entries) {
+                break;
+            }
+        }
+
+        std::cout << "----- Start TMVA Training -----" << std::endl;
+
+        std::cout << TString::Format("With %d Signal and %d Background Events.", added_sig_entries, added_bck_entries) << std::endl;
+
+        TString outfile_name("tmva_butokpmumu_out.root");
+        TFile *output_file = TFile::Open(outfile_name, "RECREATE");
+
+        TString factory_options("V:Silent:Color:DrawProgressBar:Transformations=I;D;P;G,D:AnalysisType=Auto");
+
+        TMVA::Factory *factory = new TMVA::Factory("tmva_butokpmumu", output_file, factory_options);
+        TMVA::DataLoader *data_loader = new TMVA::DataLoader("dataloader");
+
+        for (int i = 0; i < vars.size(); i++)
+        {
+            std::cout << "Adding Branch: " << vars[i].GetTrainName() << std::endl;
+            if (vars[i].IsDouble())
+            {
+                data_loader->AddVariable(vars[i].GetTrainName(), 'D');
+            }
+            else if (vars[i].IsFloat())
+            {
+                data_loader->AddVariable(vars[i].GetTrainName(), 'F');
+            }
+        }
+
+        Double_t signal_weight = 1.0, background_weight = 1.0;
+
+        data_loader->AddSignalTree(sig_tree, signal_weight);
+        data_loader->AddBackgroundTree(bkg_tree, background_weight);
+        data_loader->PrepareTrainingAndTestTree("", "", "nTrain_Signal=0:nTrain_Background=0:SplitMode=Random:NormMode=NumEvents:!V");
+
+        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");
+
+        factory->TrainAllMethods();
+        factory->TestAllMethods();
+        factory->EvaluateAllMethods();
+
+        output_file->Close();
+
+        std::cout << "----- Finished TMVA Setup & Training -----" << std::endl;
+    }
+    else
+    {
+        std::cout << "----- Skipped TMVA Setup & Training -----" << std::endl;
+    }
+
+    if (EVALUATE_TMVA)
+    {
+        std::cout << "----- Start TMVA Evaluation of Data -----" << std::endl;
+
+        TMVA::Reader *reader = new TMVA::Reader("!Color:!Silent");
+        Float_t *train_vars = new Float_t[vars.size()];
+
+        for (size_t i = 0; i < vars.size(); i++)
+        {
+            reader->AddVariable(vars[i].GetTrainName(), &train_vars[i]);
+        }
+
+        reader->BookMVA("BDT", "./dataloader/weights/tmva_butokpmumu_BDT.weights.xml");
+
+        TH1D *h1_probs = new TH1D("h1_probs", "BDT Probabilities", N_BINS, -1, 1);
+        TH1D *h1_Bplus_M = new TH1D("h1_Bplus_M", "B^{+} Mass", N_BINS, 4700., 6500.);
+
+        for (unsigned int i = 0; i < data_entries; i++)
+        {
+            data_chain->GetEntry(i);
+
+            bool skip = false;
+            for (size_t j = 0; j < vars.size(); j++)
+            {
+                if (!vars[j].IsDataFinite())
+                {
+                    vars[j].PrintDataValue(i);
+                    skip = true;
+                    break;
+                }
+
+                if (vars[j].IsDouble())
+                {
+                    train_vars[j] = vars[j].GetDataDouble();
+                }
+                else if (vars[j].IsFloat())
+                {
+                    train_vars[j] = vars[j].GetDataFloat();
+                }
+            }
+
+            if (skip)
+            {
+                continue;
+            }
+
+            double mva_response = reader->EvaluateMVA("BDT");
+            h1_probs->Fill(mva_response);
+            const double mva_cut_value = 0.01;
+
+            if (mva_response > mva_cut_value)
+            {
+                h1_Bplus_M->Fill(Bplus_M);
+            }
+        }
+
+        std::cout << "----- Finished TMVA Evaluation of Data -----" << std::endl;
+
+        TCanvas *c1 = new TCanvas("c1", "c1", 0, 0, 1200, 800);
+        c1->Divide(2, 1);
+        c1->cd(1);
+        h1_probs->Draw();
+        c1->cd(2);
+        h1_Bplus_M->Draw();
+
+        c1->Draw();
+
+        // TCanvas *c3 = new TCanvas("c3", "Canvas 3", 0, 0, 1000, 600);
+
+        // auto fitFrame = CreateRooFit(h1_Bplus_M);
+        // fitFrame->Draw();
+
+        // c3->Draw();
+    }
+    else
+    {
+        std::cout << "----- Skipped TMVA Evaluation of Data -----" << std::endl;
+    }
+
+    return 0;
+}
+
+RooPlot *CreateRooFit(TH1D *hist)
+{
+    RooRealVar roo_var_mass("roo_var_mass", "B+ Mass Variable", 4700., 6500.);
+    roo_var_mass.setRange("fitting_range", 5000., 6000.);
+    roo_var_mass.setRange("plot_range", 4700., 6500.);
+
+    TString hist_name = "roohist_bplus_M";
+    RooDataHist roohist_bplus_M(hist_name, "B Plus Mass Histogram", roo_var_mass, RooFit::Import(*hist));
+
+    // RooRealVar roo_sig_gauss_mean("roo_sig_gauss_mean", "Mass Gauss Mean", 5250., 5100., 5400.);
+    // RooRealVar roo_sig_gauss_sigma("roo_sig_gauss_sigma", "Mass Gauss Sigma", 60., 0., 150.);
+
+    // RooGaussian roo_sig_gauss("roo_sig_gauss", "B+ Mass Signal Gaussian", roo_var_mass, roo_sig_gauss_mean, roo_sig_gauss_sigma);
+
+    // Crystal Ball for Signal
+    RooRealVar roo_sig_cb_x0("roo_sig_cry_x0", "Location", B_PLUS_MASS, 5100., 5400.);
+    RooRealVar roo_sig_cb_sigmaL("roo_sig_cry_sigmaL", "Sigma L", 30., 0., 60.);
+    RooRealVar roo_sig_cb_sigmaR("roo_sig_cry_sigmaR", "Sigma R", 30., 0., 60.);
+
+    RooRealVar roo_sig_cb_alphaL("roo_sig_cry_alphaL", "Alpha L", 15., 0., 30.);
+    RooRealVar roo_sig_cb_nL("roo_sig_cry_nL", "Exponent L", 10., 1., 20.);
+
+    RooRealVar roo_sig_cb_alphaR("roo_sig_cry_alphaR", "Alpha R", 15., 0., 30.);
+    RooRealVar roo_sig_cb_nR("roo_sig_cry_nR", "Exponent R", 10., 1., 20.);
+
+    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);
+
+    RooRealVar roo_bkg_exp_c("roo_bkg_exp_c", "Background C", -0.00099021, -0.003, -0.0001);
+    RooExponential roo_bkg_exp("roo_bkg_exp", "B+ Mass Background Exp", roo_var_mass, roo_bkg_exp_c);
+
+    RooRealVar roo_var_mass_nsig("roo_var_mass_nsig", "B+ Mass N Signal", 0., hist->GetEntries());
+    RooRealVar roo_var_mass_nbkg("roo_var_mass_nbkg", "B+ Mass N Background", 0., hist->GetEntries());
+
+    TString pdf_name = "roo_pdf_sig_plus_bkg";
+    RooAddPdf roo_pdf_sig_plus_bkg(pdf_name, "Sig + Bkg PDF",
+                                   RooArgList(roo_sig_cb, roo_bkg_exp),
+                                   RooArgList(roo_var_mass_nsig, roo_var_mass_nbkg));
+
+    RooPlot *roo_frame_mass = roo_var_mass.frame();
+    roohist_bplus_M.plotOn(roo_frame_mass, RooFit::Binning(N_BINS), RooFit::Name(hist_name), RooFit::MarkerColor(18), RooFit::Range("plot_range"));
+
+    RooFitResult *fitres = roo_pdf_sig_plus_bkg.fitTo(roohist_bplus_M, RooFit::Save(), RooFit::PrintLevel(1), RooFit::Range("fitting_range"));
+
+    roo_pdf_sig_plus_bkg.plotOn(roo_frame_mass, RooFit::VisualizeError(*fitres, 1), RooFit::Range("plot_range"), RooFit::FillColor(kOrange + 1), RooFit::FillStyle(3144));
+    roo_pdf_sig_plus_bkg.plotOn(roo_frame_mass, RooFit::LineColor(kRed), RooFit::LineStyle(kSolid), RooFit::Range("plot_range"), RooFit::Name(pdf_name));
+    roo_pdf_sig_plus_bkg.plotOn(roo_frame_mass, RooFit::Components(RooArgSet(roo_bkg_exp)), RooFit::LineColor(kBlue), RooFit::LineStyle(kDashed), RooFit::Range("plot_range"));
+
+    // roo_sig_cb.plotOn(roo_frame_mass, RooFit::LineColor(kAlpine), RooFit::LineStyle(kDashed), RooFit::Range("fitting_range"));
+    // roo_bkg_exp.plotOn(roo_frame_mass, RooFit::LineColor(kOrange), RooFit::LineStyle(kDashed), RooFit::Range("fitting_range"));
+
+    roo_sig_cb.paramOn(roo_frame_mass, RooFit::Layout(0.60, 0.99, 0.90));
+    roo_frame_mass->getAttText()->SetTextSize(0.027);
+
+    double ymax = roo_frame_mass->GetMaximum();
+
+    TText *txt_n_sig = new TText(5800., ymax * 0.22, TString::Format("Signal Yield: %.2f +/- %.2f (Paper: %s)", roo_var_mass_nsig.getVal(), roo_var_mass_nsig.getError(), ""));
+    txt_n_sig->SetTextSize(0.027);
+    txt_n_sig->SetTextColor(kBlue + 4);
+    TText *txt_n_bkg = new TText(5800., ymax * 0.18, TString::Format("Background Yield: %.2f +/- %.2f", roo_var_mass_nbkg.getVal(), roo_var_mass_nbkg.getError()));
+    txt_n_bkg->SetTextSize(0.027);
+    txt_n_bkg->SetTextColor(kBlue + 4);
+    roo_frame_mass->addObject(txt_n_sig);
+    roo_frame_mass->addObject(txt_n_bkg);
+
+    return roo_frame_mass;
+}