inclusive_detached_dilepton/new_analysis_b02hphmmumu.cpp

#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"

// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Inclusive :: B0 To Hp Hm Mu Mu %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

int new_analysis_b02hphmmumu()
{
  const char *analysis_name = "B0ToHpHmMuMu";
  const char *data_tree_name = "B0ToHpHmMuMu";
  const char *sim_tree_name = "B0ToHpHmMuMu_noPID";
  const char *end_state_mass_literal = "m(#pi^{+}#pi^{-}_{(#rightarrow K^{-})}#mu^{+}#mu^{-} & #pi^{+}_{(#rightarrow K^{+})}#pi^{-}#mu^{+}#mu^{-})";
  const bool retrain_bdt = false;

  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");

  Double_t Hp_PID_K, Hm_PID_K;
  data_chain->SetBranchAddress("Hp_PID_K", &Hp_PID_K);
  data_chain->SetBranchAddress("Hm_PID_K", &Hm_PID_K);

  FourVect *l14v_data = FourVect::Init(data_chain, "L1");
  FourVect *l24v_data = FourVect::Init(data_chain, "L2");
  FourVect *hp4v_data = FourVect::Init(data_chain, "Hp");
  FourVect *hm4v_data = FourVect::Init(data_chain, "Hm");

  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_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, "Hp");
  FourVect *hm4v_sim = FourVect::Init(sim_chain, "Hm");

  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("Hp_TRUEID", &Hp_TRUEID);
  sim_chain->SetBranchAddress("Hm_TRUEID", &Hm_TRUEID);
  sim_chain->SetBranchAddress("B0_BKGCAT", &B_BKGCAT);

  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_psi2s_var_name = "B_Mass_psi2s_var";
  TString B_Mass_sim_var_name = "B_Mass_sim_var";

  TTree *tree_B_Mass_jpsi = new TTree("tree_B_Mass_jpsi", TString::Format("B Mass, J/#psi Mode (%s)", analysis_name));
  TTree *tree_B_Mass_psi2s = new TTree("tree_B_Mass_psi2s", TString::Format("B Mass, #psi(2S) Mode (%s)", analysis_name));
  TTree *tree_B_Mass_sim = new TTree("tree_B_Mass_sim", TString::Format("B Mass, Simualted (%s_noPID)", analysis_name));

  tree_B_Mass_jpsi->Branch(B_Mass_jpsi_var_name, &B_Mass_jpsi_var);
  tree_B_Mass_psi2s->Branch(B_Mass_psi2s_var_name, &B_Mass_psi2s_var);
  tree_B_Mass_sim->Branch(B_Mass_sim_var_name, &B_Mass_sim_var);

  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_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_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, -1, 1);

  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);
  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{};

  std::vector<TV *> vars{
      TV::Float("B0_PT", "B0_PT"),
      TV::Float("B0_BPVFDCHI2", "B0_BPVFDCHI2"),
      TV::Float("B0_BPVDIRA", "B0_BPVDIRA"),
      TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
      // TV::Float("Jpsi_BPVDIRA", "Jpsi_BPVDIRA"),
      TV::Float("Jpsi_PT", "Jpsi_PT"),
      TV::Float("Hp_BPVIPCHI2", "Hp_BPVIPCHI2"),
      TV::Float("Hp_PT", "Hp_PT"),
      TV::Float("Hm_BPVIPCHI2", "Hm_BPVIPCHI2"),
      TV::Float("Hm_PT", "Hm_PT"),
      // TV::Double("Kplus_PID_K", "K_PID_K"),
      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 = sim_chain->GetEntries();

  unsigned int bkg_events = 0;
  unsigned int sig_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);
    }
    std::cout << "# Added " << bkg_events << " background events." << std::endl;
  }
  else
  {
    std::cout << "# Starting without BDT retrain." << std::endl;
    bkg_events = data_entries;
  }

  for (unsigned int i = 0; i < sim_entries; 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();
    Double_t reco_mass_pimkm = (hp4v_sim->LorentzVector() + hm4v_sim->LorentzVector(K_MASS) + 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)
    {
      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 (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();
      }
    }

    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 = -0.0508;

  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);

      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();
          }
          else if (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)
          {
            B_Mass_psi2s_var = reconstructed_B_Mass;
            tree_B_Mass_psi2s->Fill();
          }
        }
      }
    }

    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_unf, analysis_name, 0.1);
  DrawInDefaultCanvas(h1_B_Mass_sim_unf, 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);

  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_psi2s_fitsum = CreateRooDataSetAndFitCB(tree_B_Mass_psi2s, B_Mass_psi2s_var_name, end_state_mass_literal, 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;
}