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356 lines
14 KiB
356 lines
14 KiB
#include <string>
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#include <iostream>
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#include <cmath>
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#include <algorithm>
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#include <filesystem>
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#include <string_view>
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#include <ctime>
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#include <fstream>
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#include "TH1D.h"
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#include "TH2D.h"
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#include "THStack.h"
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#include "TGraph.h"
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#include "TTree.h"
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#include "TChain.h"
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#include "TFile.h"
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#include "TCanvas.h"
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#include "TROOT.h"
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#include "TStyle.h"
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#include "TColor.h"
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#include "TLorentzVector.h"
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#include "TRandom3.h"
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#include "TLegend.h"
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#include "RooDataHist.h"
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#include "RooRealVar.h"
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#include "RooPlot.h"
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#include "RooGaussian.h"
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#include "RooExponential.h"
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#include "RooRealConstant.h"
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#include "RooAddPdf.h"
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#include "RooFitResult.h"
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#include "RooProduct.h"
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#include "RooCrystalBall.h"
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#include "RooBreitWigner.h"
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#include "RooArgSet.h"
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#include "RooFFTConvPdf.h"
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#include "RooNovosibirsk.h"
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#include "constants.h"
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#include "basic_analysis.h"
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#include "hlt1_decision_analysis.h"
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#include "bdt_classification.h"
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// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Bu To Hp Mu Mu %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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int new_analysis_bu2hpmumu()
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{
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const char *analysis_name = "BuToHpMuMu";
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const char *data_tree_name = "SpruceRD_BuToHpMuMu";
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const char *sim_tree_name = "BuToHpMuMu_noPID_mapped";
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const char *end_state_mass_literal = "m(#pi^{+}_{(#rightarrow K^{+})}#mu^{+}#mu^{-}) [MeV]";
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const bool retrain_bdt = false;
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const bool skip_fit = false;
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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/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/Comm23_B6800GeV-VeCl-MgDo-Excl-UT_RealD_SprPass23r1_94000000_RD_45.root");
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FourVect *l14v_data = FourVect::Init(data_chain, "muminus");
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FourVect *l24v_data = FourVect::Init(data_chain, "muplus");
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FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
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Double_t Kplus_PID_K;
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data_chain->SetBranchAddress("Kplus_PID_K", &Kplus_PID_K);
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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/BuToHpMuMu_mapped_mc.root");
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FourVect *l14v_sim = FourVect::Init(sim_chain, "muminus");
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FourVect *l24v_sim = FourVect::Init(sim_chain, "muplus");
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FourVect *hp4v_sim = FourVect::Init(sim_chain, "Kplus");
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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_psi2s_var_name = "B_Mass_psi2s_var";
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TString B_Mass_sim_var_name = "B_Mass_sim_var";
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TTree *tree_B_Mass_jpsi = new TTree("tree_B_Mass_jpsi", TString::Format("B^{#pm} Mass, J/#psi Mode (%s)", analysis_name));
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TTree *tree_B_Mass_psi2s = new TTree("tree_B_Mass_psi2s", TString::Format("B^{#pm} Mass, #psi(2S) Mode (%s)", analysis_name));
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TTree *tree_B_Mass_sim = new TTree("tree_B_Mass_sim", TString::Format("B^{#pm} Mass, Simualted (%s)", analysis_name));
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tree_B_Mass_jpsi->Branch(B_Mass_jpsi_var_name, &B_Mass_jpsi_var);
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tree_B_Mass_psi2s->Branch(B_Mass_psi2s_var_name, &B_Mass_psi2s_var);
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tree_B_Mass_sim->Branch(B_Mass_sim_var_name, &B_Mass_sim_var);
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TH1D *h1_B_Mass_unf = new TH1D("h1_B_Mass_unf", TString::Format("B^{#pm} Mass (%s), Unfiltered", analysis_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^{#pm} Mass (%s), BDT Filter", analysis_name), B_MASS_HIST_BINS, B_MASS_VAR_MIN, B_MASS_VAR_MAX);
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TH2D *h2_Hlt1_flags_B_Mass = new TH2D("h2_Hlt1_flags_B_Mass", "Hlt1 Decision vs B^{#pm} 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^{#pm} Mass", 50, 5100, 5400, 13, 1., 14.);
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TH1D *h1_bdt_probs = new TH1D("h1_bdt_probs", "BDT Probabilities", 100, -2, 2);
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h1_B_Mass_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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h2_Hlt1_flags_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
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h2_Hlt1_flags_excl_B_Mass->GetXaxis()->SetTitle(end_state_mass_literal);
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ConnectHlt1Decisions(data_chain, h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass);
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auto hlt1_decision_histos = CreateHlt1DecisionHistos(analysis_name);
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std::map<std::string, int> exclusive_hits{};
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// TV* kplus_pid_k_var = TV::Double("Kplus_PID_K", "Kplus_PID_K");
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std::vector<TV *> vars{
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TV::Float("B_PT", "B_PT"),
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// TV::Float("B_BPVFDCHI2", "B_BPVFDCHI2"),
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TV::Float("B_BPVDIRA", "B_BPVDIRA"),
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TV::Double("B_CHI2", "B_CHI2"),
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TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
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TV::Float("Jpsi_PT", "Jpsi_PT"),
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TV::Double("Jpsi_CHI2", "Jpsi_CHI2"),
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TV::Float("Kplus_BPVIPCHI2", "Kplus_BPVIPCHI2"),
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TV::Float("Kplus_PT", "Kplus_PT"),
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// kplus_pid_k_var,
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TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
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// TV::Float("muminus_PT", "muminus_PT"),
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TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
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// TV::Float("muplus_PT", "muplus_PT"),
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};
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TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
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TTree *bkg_tree = new TTree("TreeB", "tree containing background data");
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ConnectVarsToData(vars, data_chain, sim_chain, sig_tree, bkg_tree);
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unsigned int data_entries = data_chain->GetEntries();
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unsigned int sim_entries = sim_chain->GetEntries();
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std::cout << "# Got " << data_entries << " data and " << sim_entries << " simulated events." << std::endl;
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unsigned int bkg_events = 0;
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unsigned int sig_events = 0;
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if (retrain_bdt)
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{
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std::cout << "# Starting with BDT retrain." << std::endl;
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for (unsigned int i = 0; i < data_entries; i++)
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{
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data_chain->GetEntry(i);
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TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
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Double_t reconstructed_B_Mass = (hp4v_data->LorentzVector() + dimuon).M();
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if (std::all_of(vars.begin(), vars.end(), [](TV *v)
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{ return v->IsDataFinite(); }))
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{
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if (reconstructed_B_Mass > 5500. && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)) && Kplus_PID_K > -3)
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{
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bkg_tree->Fill();
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bkg_events++;
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}
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}
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PrintProgress(TString::Format("%s BKG Collection", analysis_name), data_entries, 10000, i);
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}
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std::cout << "# Added " << bkg_events << " background events." << std::endl;
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}
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else
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{
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std::cout << "# Starting without BDT retrain." << std::endl;
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bkg_events = data_entries;
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}
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for (unsigned int i = 0; i < sim_entries; i++)
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{
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sim_chain->GetEntry(i);
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Double_t reconstructed_B_Mass = (hp4v_sim->LorentzVector() + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
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if (sig_events < bkg_events)
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{
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if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
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{ return v->IsMCFinite(); }))
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{
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sig_tree->Fill();
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sig_events++;
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}
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}
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B_Mass_sim_var = reconstructed_B_Mass;
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tree_B_Mass_sim->Fill();
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PrintProgress(TString::Format("%s SIG Collection", analysis_name), sim_entries, 10000, i);
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}
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if (retrain_bdt)
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{
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std::cout << "# Added " << sig_events << " signal events." << std::endl;
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TrainBDT(vars, analysis_name, sig_tree, bkg_tree);
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std::cout << "# Finished BDT retrain." << std::endl;
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}
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if (skip_fit)
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{
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std::cout << "# Skipping evaluation of data." << std::endl;
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return 0;
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}
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std::cout << "# Starting evaluation of data." << std::endl;
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Float_t *train_vars = new Float_t[vars.size()];
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auto reader = SetupReader(vars, train_vars, analysis_name);
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const double mva_cut_value = 0.0;
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for (unsigned int i = 0; i < data_entries; i++)
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{
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data_chain->GetEntry(i);
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TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
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Double_t reconstructed_B_Mass = (hp4v_data->LorentzVector() + dimuon).M();
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if (std::all_of(vars.begin(), vars.end(), [](TV *v)
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{ return v->IsDataFinite(); }))
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{
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for (size_t j = 0; j < vars.size(); j++)
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{
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if (vars[j]->IsDouble())
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{
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train_vars[j] = vars[j]->GetDataDouble();
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}
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else if (vars[j]->IsFloat())
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{
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train_vars[j] = vars[j]->GetDataFloat();
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}
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}
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}
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if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
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{
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CheckHlt1Decisioins(h2_Hlt1_flags_B_Mass, h2_Hlt1_flags_excl_B_Mass, exclusive_hits, reconstructed_B_Mass);
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FillHlt1DecisionHistos(hlt1_decision_histos, reconstructed_B_Mass);
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}
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if (Kplus_PID_K > -3 && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)))
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{
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double mva_response = reader->EvaluateMVA("BDT");
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h1_bdt_probs->Fill(mva_response);
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h1_B_Mass_unf->Fill(reconstructed_B_Mass);
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if (mva_response > mva_cut_value)
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{
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h1_B_Mass_bdtf->Fill(reconstructed_B_Mass);
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if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
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{
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B_Mass_jpsi_var = reconstructed_B_Mass;
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tree_B_Mass_jpsi->Fill();
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}
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else if (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)
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{
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B_Mass_psi2s_var = reconstructed_B_Mass;
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tree_B_Mass_psi2s->Fill();
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}
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}
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}
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PrintProgress(TString::Format("%s BDT Evaluation", analysis_name), data_entries, 10000, i);
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}
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std::cout << "# Exclusive Hits" << std::endl;
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for (const auto &[line, hits] : exclusive_hits)
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{
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std::cout << line << ": " << hits << std::endl;
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}
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DrawInDefaultCanvas(h2_Hlt1_flags_B_Mass, analysis_name, 0.16, "COLZ");
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DrawInDefaultCanvas(h2_Hlt1_flags_excl_B_Mass, analysis_name, 0.16, "COLZ");
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DrawInDefaultCanvas(h1_B_Mass_unf, analysis_name, 0.1);
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DrawInDefaultCanvas(h1_B_Mass_bdtf, analysis_name, 0.1);
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DrawInDefaultCanvasStacked({h1_B_Mass_unf, h1_B_Mass_bdtf}, {kRed, kBlue}, {0, 3003}, analysis_name, TString::Format("B^{#pm} Mass (%s) Before/After BDT Selection", analysis_name));
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auto roofit_hist_sim = CreateRooDataSetAndFitCB(tree_B_Mass_sim, B_Mass_sim_var_name, end_state_mass_literal, false, false, ShapeParamters{});
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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);
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roofit_hist_sim.shape_parameters.sigma_lr = roofit_hist_jpsi_fitsum.shape_parameters.sigma_lr;
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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);
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DrawInDefaultCanvas(roofit_hist_jpsi_fitsum, analysis_name);
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DrawInDefaultCanvas(roofit_hist_psi2s_fitsum, analysis_name);
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DrawInDefaultCanvas(roofit_hist_sim, analysis_name);
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// DrawHlt1DecisionHistos(analysis_name, hlt1_decision_histos);
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DrawBDTProbs(h1_bdt_probs, mva_cut_value, analysis_name);
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auto signal_ratio = DivWithErr(roofit_hist_psi2s_fitsum.signal_yield.first, roofit_hist_psi2s_fitsum.signal_yield.second, roofit_hist_jpsi_fitsum.signal_yield.first, roofit_hist_jpsi_fitsum.signal_yield.second);
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std::time_t t = std::time(nullptr);
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std::tm tm = *std::localtime(&t);
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ofstream res_file;
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res_file.open(TString::Format("%s_results.txt", analysis_name).Data(), ios::out | ios::trunc);
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auto jpsi_sigobkg = DivWithErr(roofit_hist_jpsi_fitsum.signal_yield.first, roofit_hist_jpsi_fitsum.signal_yield.second, roofit_hist_jpsi_fitsum.background_yield.first, roofit_hist_jpsi_fitsum.background_yield.second);
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auto psi2s_sigobkg = DivWithErr(roofit_hist_psi2s_fitsum.signal_yield.first, roofit_hist_psi2s_fitsum.signal_yield.second, roofit_hist_psi2s_fitsum.background_yield.first, roofit_hist_psi2s_fitsum.background_yield.second);
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auto mumu_br_frac = DivWithErr(BRF_JPSI_MUMU_VAL, BRF_JPSI_MUMU_ERR, BRF_PSI2S_MUMU_VAL, BRF_PSI2S_MUMU_ERR);
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res_file << "#### " << analysis_name << " @ " << std::put_time(&tm, "%c") << " ####" << std::endl;
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res_file << "J/Psi Mode: " << ErrToStr(roofit_hist_jpsi_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_jpsi_fitsum.background_yield, 0) << std::endl;
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res_file << " Sig/Bkg: " << ErrToStr(jpsi_sigobkg, 2) << std::endl;
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res_file << "Psi(2S) Mode: " << ErrToStr(roofit_hist_psi2s_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_psi2s_fitsum.background_yield, 0) << std::endl;
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res_file << " Sig/Bkg: " << ErrToStr(psi2s_sigobkg, 2) << std::endl;
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res_file << "Mode Yield Ratio: " << ErrToStr(signal_ratio, 3) << std::endl;
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res_file << "Rel Br Frac MuMu: " << ErrToStr(mumu_br_frac, 3) << std::endl;
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auto br_frac = MultWithErr(signal_ratio.first, signal_ratio.second, mumu_br_frac.first, mumu_br_frac.second);
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res_file << "Rel Br Frac: " << ErrToStr(br_frac, 3) << std::endl
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<< std::endl;
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res_file << "Params from Sim:" << std::endl
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<< roofit_hist_sim.shape_parameters.ToString() << std::endl;
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for (const auto &par : roofit_hist_sim.fitted_params)
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{
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res_file << par.ToString(true).c_str() << std::endl;
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}
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res_file << std::endl
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<< "Fitted Parameters: J/PSI" << std::endl
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<< std::endl;
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for (const auto &par : roofit_hist_jpsi_fitsum.fitted_params)
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{
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res_file << par.ToString(true).c_str() << std::endl;
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}
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res_file << std::endl
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<< "Fitted Parameters: PSI(2S)" << std::endl
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<< std::endl;
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for (const auto &par : roofit_hist_psi2s_fitsum.fitted_params)
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{
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res_file << par.ToString(true).c_str() << std::endl;
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}
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auto print_table = [&res_file](std::string name, std::pair<double, double> sig, std::pair<double, double> bkg)
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{
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res_file << std::endl;
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res_file << "# " << name << std::endl;
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res_file << "\\begin{tabular}{c|c}" << std::endl;
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res_file << "$N_{Sig}$ & $N_{Bkg}$\\\\\\hline" << std::endl;
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res_file << TString::Format("$%.0f \\pm %.0f$ & $%.0f \\pm %.0f$", sig.first, sig.second, bkg.first, bkg.second).Data() << std::endl;
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res_file << "\\end{tabular}" << std::endl;
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};
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print_table("J/psi", roofit_hist_jpsi_fitsum.signal_yield, roofit_hist_jpsi_fitsum.background_yield);
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print_table("psi(2S)", roofit_hist_psi2s_fitsum.signal_yield, roofit_hist_psi2s_fitsum.background_yield);
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res_file.close();
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return 0;
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}
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