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alter ana macros to use pre-subbed root files, formatting, constant sigma

pull/2/head
Marius Pfeiffer 7 months ago
parent
commit
5153c4c4d6
  1. 56
      basic_analysis.h
  2. 2
      mapmc_b02hphmmumu.cpp
  3. 214
      new_analysis_b02hphmmumu.cpp
  4. 88
      new_analysis_bu2hpmumu.cpp

56
basic_analysis.h

@ -98,7 +98,8 @@ struct FittedParam
this->decimals = decimals;
}
FittedParam(std::string name, std::string title, double value, double err, int decimals) {
FittedParam(std::string name, std::string title, double value, double err, int decimals)
{
this->title = title;
this->name = name;
this->value = value;
@ -127,6 +128,7 @@ struct ShapeParamters
double n_left;
double alpha_right;
double n_right;
double sigma_lr;
};
struct RooFitSummary
@ -156,17 +158,19 @@ void DrawInDefaultCanvasStacked(std::vector<TH1D *> histograms, std::vector<Colo
TString name = TString::Format("%s_stack_canvas", histograms[0]->GetName());
TCanvas *c = new TCanvas(name, histograms[0]->GetName(), 0, 0, 800, 600);
c->SetLeftMargin(margin_left);
std::string drwopt_2 = std::string(option).empty() ? "SAME HIST" : TString::Format("%s SAME HIST", option).Data();
for (size_t i = 0; i < histograms.size(); i++)
{
const Double_t scaling_factor = 1.;
auto hist_clone = (TH1*)histograms[i]->Clone(TString::Format("%s_clone", histograms[i]->GetName()));
auto hist_clone = (TH1 *)histograms[i]->Clone(TString::Format("%s_clone", histograms[i]->GetName()));
hist_clone->Scale(scaling_factor / histograms[i]->GetMaximum());
hist_clone->SetLineColor(colors[i]);
hist_clone->SetMaximum(scaling_factor + (scaling_factor * 0.05));
hist_clone->SetMinimum(0.);
hist_clone->SetStats(0);
if (fill_style[i] != 0) {
if (fill_style[i] != 0)
{
hist_clone->SetFillStyle(fill_style[i]);
hist_clone->SetFillColor(colors[i]);
}
@ -372,7 +376,7 @@ RooPlot *CreateRooFitHistogram(TH1D *hist)
return roo_frame_mass;
}
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)
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)
{
auto suffix_name = [name = dataSet->GetName()](const char *text)
{
@ -387,7 +391,7 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
roo_var_mass.setRange(fitting_range_name, fitRangeUp, fitRangeLow);
TString dataset_name = suffix_name("roodataset_B_M");
//RooDataHist roodataset_B_M(hist_name, "B Mass Histogram", roo_var_mass, RooFit::Import(*hist));
// RooDataHist roodataset_B_M(hist_name, "B Mass Histogram", roo_var_mass, RooFit::Import(*hist));
RooDataSet roodataset_B_M(dataset_name, "B Mass Data Set", roo_var_mass, RooFit::Import(*dataSet));
RooPlot *roo_frame_mass = roo_var_mass.frame(RooFit::Title(dataSet->GetTitle()), RooFit::Name(TString::Format("%s_rplt", dataSet->GetName())));
@ -405,17 +409,35 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
if (useExtShape)
{
var_mass_alphaL.setConstant(true);
var_mass_alphaL.setVal(extShape.alpha_left);
if (extShape.alpha_left != 0.)
{
var_mass_alphaL.setConstant(true);
var_mass_alphaL.setVal(extShape.alpha_left);
}
var_mass_nL.setConstant(true);
var_mass_nL.setVal(extShape.n_left);
if (extShape.n_left != 0.)
{
var_mass_nL.setConstant(true);
var_mass_nL.setVal(extShape.n_left);
}
var_mass_alphaR.setConstant(true);
var_mass_alphaR.setVal(extShape.alpha_right);
if (extShape.alpha_right != 0.)
{
var_mass_alphaR.setConstant(true);
var_mass_alphaR.setVal(extShape.alpha_right);
}
if (extShape.n_right != 0.)
{
var_mass_nR.setConstant(true);
var_mass_nR.setVal(extShape.n_right);
}
var_mass_nR.setConstant(true);
var_mass_nR.setVal(extShape.n_right);
if (extShape.sigma_lr != 0. && const_sigma)
{
var_mass_sigmaLR.setConstant(true);
var_mass_sigmaLR.setVal(extShape.sigma_lr);
}
}
TString signal_name = suffix_name("sig_cb");
@ -453,15 +475,14 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
fitted_params.push_back(FittedParam(var_mass_nsig, 2));
fitted_params.push_back(FittedParam(var_mass_nbkg, 2));
double sig_val = var_mass_nsig.getVal();
double sig_err = var_mass_nsig.getError();
double bkg_val = var_mass_nbkg.getVal();
double bkg_err = var_mass_nbkg.getError();
double sig_over_bkg_val = sig_val / TMath::Sqrt(sig_val + bkg_val);
double err_prop_sig = (sig_val + 2 * bkg_val)/(2 * TMath::Power((sig_val + bkg_val), (3/2)));
double err_prop_bkg = -sig_val/(2 * TMath::Power((sig_val + bkg_val), (3/2)));
double err_prop_sig = (sig_val + 2 * bkg_val) / (2 * TMath::Power((sig_val + bkg_val), (3 / 2)));
double err_prop_bkg = -sig_val / (2 * TMath::Power((sig_val + bkg_val), (3 / 2)));
double sig_over_bkg_err = TMath::Sqrt(TMath::Sq(err_prop_sig * sig_err) + TMath::Sq(err_prop_bkg * bkg_err));
fitted_params.push_back(FittedParam("sig_over_bkg", "N_{Sig}/#sqrt{N_{Sig} + N_{Bkg}}", sig_over_bkg_val, sig_over_bkg_err, 2));
@ -503,7 +524,8 @@ RooFitSummary CreateRooDataSetAndFitCB(TTree *dataSet, TString var_name, TString
var_mass_alphaL.getVal(),
var_mass_nL.getVal(),
var_mass_alphaR.getVal(),
var_mass_nR.getVal()}};
var_mass_nR.getVal(),
var_mass_sigmaLR.getVal()}};
}
bool InRange(double value, double center, double low_intvl, double up_intvl)

2
mapmc_b02hphmmumu.cpp

@ -89,7 +89,7 @@ int mapmc_b02hphmmumu()
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;
Int_t muplus_ID_out, muminus_ID_out, Kplus_ID_out, piminus_ID_out;
output_tree->Branch("B0_PT", &B0_PT_out, "B0_PT/D");
output_tree->Branch("B0_PT", &B0_PT_out, "B0_PT/F");
output_tree->Branch("B0_BPVFDCHI2", &B0_BPVFDCHI2_out, "B0_BPVFDCHI2/F");
output_tree->Branch("B0_BPVDIRA", &B0_BPVDIRA_out, "B0_BPVDIRA/F");
output_tree->Branch("B0_PX", &B0_PX_out, "0_PX/F");

214
new_analysis_b02hphmmumu.cpp

@ -45,39 +45,26 @@
int new_analysis_b02hphmmumu()
{
const char *analysis_name = "B0ToHpHmMuMu";
const char *data_tree_name = "B0ToHpHmMuMu";
const char *sim_tree_name = "B0ToHpHmMuMu_noPID";
const char *data_tree_name = "SpruceRD_B0ToHpHmMuMu";
const char *sim_tree_name = "B0ToHpHmMuMu_noPID_mapped";
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");
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_Sprucing23r1_90000000_RD.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");
FourVect *l14v_data = FourVect::Init(data_chain, "muminus");
FourVect *l24v_data = FourVect::Init(data_chain, "muplus");
FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
FourVect *hm4v_data = FourVect::Init(data_chain, "piminus");
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->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/B0ToHpHmMuMu_mapped_mc.root");
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);
FourVect *l14v_sim = FourVect::Init(sim_chain, "muminus");
FourVect *l24v_sim = FourVect::Init(sim_chain, "muplus");
FourVect *hp4v_sim = FourVect::Init(sim_chain, "Kplus");
FourVect *hm4v_sim = FourVect::Init(sim_chain, "piminus");
Double_t B_Mass_jpsi_var, B_Mass_psi2s_var, B_Mass_sim_var;
TString B_Mass_jpsi_var_name = "B_Mass_jpsi_var";
@ -94,14 +81,12 @@ int new_analysis_b02hphmmumu()
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);
@ -115,17 +100,14 @@ int new_analysis_b02hphmmumu()
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"),
TV::Float("Kplus_BPVIPCHI2", "Kplus_BPVIPCHI2"),
TV::Float("Kplus_PT", "Kplus_PT"),
TV::Float("piminus_BPVIPCHI2", "piminus_BPVIPCHI2"),
TV::Float("piminus_PT", "piminus_PT"),
TV::Double("Kplus_PROBNN_K", "Kplus_PROBNN_K"),
TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
};
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++)
{
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;
}
TLorentzVector reconstructed_Kstar = hp4v_data->LorentzVector() + hm4v_data->LorentzVector();
TLorentzVector dimuon = l14v_data->LorentzVector() + l24v_data->LorentzVector();
Double_t reconstructed_B_Mass = (reconstructed_Kstar + dimuon).M();
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 (std::all_of(vars.begin(), vars.end(), [](TV *v)
{ return v->IsDataFinite(); }))
if (reconstructed_B_Mass > 5500. && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)))
{
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);
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);
TLorentzVector reconstructed_Kstar = hp4v_sim->LorentzVector() + hm4v_sim->LorentzVector();
Double_t reconstructed_B_Mass = (reconstructed_Kstar + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
if (B_BKGCAT == 30 && TMath::Abs(L1_TRUEID) == PID_MUON && L2_TRUEID == -L1_TRUEID)
if (sig_events < bkg_events)
{
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)
if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
{ return v->IsMCFinite(); }))
{
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();
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)
{
std::cout << "# Added " << sig_events << " signal events." << std::endl;
TrainBDT(vars, analysis_name, sig_tree, bkg_tree);
std::cout << "# Finished BDT retrain." << std::endl;
}
@ -240,72 +186,57 @@ int new_analysis_b02hphmmumu()
Float_t *train_vars = new Float_t[vars.size()];
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++)
{
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;
}
TLorentzVector reconstructed_Kstar = hp4v_data->LorentzVector() + hm4v_data->LorentzVector();
Double_t reconstructed_B_Mass = (reconstructed_Kstar + dimuon).M();
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();
if (std::all_of(vars.begin(), vars.end(), [](TV *v)
{ return v->IsDataFinite(); }))
for (size_t j = 0; j < vars.size(); j++)
{
for (size_t j = 0; j < vars.size(); j++)
if (vars[j]->IsDouble())
{
if (vars[j]->IsDouble())
{
train_vars[j] = vars[j]->GetDataDouble();
}
else if (vars[j]->IsFloat())
{
train_vars[j] = vars[j]->GetDataFloat();
}
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);
}
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);
double mva_response = reader->EvaluateMVA("BDT");
h1_bdt_probs->Fill(mva_response);
h1_B_Mass_unf->Fill(reconstructed_B_Mass);
h1_B_Mass_unf->Fill(reconstructed_B_Mass);
if (mva_response > mva_cut_value)
if (mva_response > mva_cut_value)
{
h1_B_Mass_bdtf->Fill(reconstructed_B_Mass);
if (TMath::Abs(reconstructed_Kstar.M() - KSTAR_MASS) < 100.)
{
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.)
{
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();
}
B_Mass_psi2s_var = reconstructed_B_Mass;
tree_B_Mass_psi2s->Fill();
}
}
}
@ -323,14 +254,13 @@ int new_analysis_b02hphmmumu()
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);
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_psi2s_fitsum, analysis_name);

88
new_analysis_bu2hpmumu.cpp

@ -45,34 +45,24 @@
int new_analysis_bu2hpmumu()
{
const char *analysis_name = "BuToHpMuMu";
const char *data_tree_name = "BuToHpMuMu";
const char *sim_tree_name = "BuToHpMuMu_noPID";
const char *data_tree_name = "SpruceRD_BuToHpMuMu";
const char *sim_tree_name = "BuToHpMuMu_noPID_mapped";
const char *end_state_mass_literal = "m(#pi^{+}_{(#rightarrow K^{+})}#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");
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_Sprucing23r1_90000000_RD.root");
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 *l14v_data = FourVect::Init(data_chain, "muminus");
FourVect *l24v_data = FourVect::Init(data_chain, "muplus");
FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
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 *l24v_sim = FourVect::Init(sim_chain, "L2");
FourVect *hp4v_sim = FourVect::Init(sim_chain, "Hp");
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);
FourVect *l14v_sim = FourVect::Init(sim_chain, "muminus");
FourVect *l24v_sim = FourVect::Init(sim_chain, "muplus");
FourVect *hp4v_sim = FourVect::Init(sim_chain, "Kplus");
Double_t B_Mass_jpsi_var, B_Mass_psi2s_var, B_Mass_sim_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_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, -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_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);
@ -112,14 +98,12 @@ int new_analysis_bu2hpmumu()
TV::Float("B_BPVFDCHI2", "B_BPVFDCHI2"),
TV::Float("B_BPVDIRA", "B_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::Double("Kplus_PID_K", "K_PID_K"),
TV::Double("Hp_PROBNN_K", "Hp_PROBNN_K"),
TV::Float("L1_BPVIPCHI2", "L1_BPVIPCHI2"),
TV::Float("L2_BPVIPCHI2", "L2_BPVIPCHI2"),
TV::Float("Kplus_BPVIPCHI2", "Kplus_BPVIPCHI2"),
TV::Float("Kplus_PT", "Kplus_PT"),
TV::Double("Kplus_PROBNN_K", "Kplus_PROBNN_K"),
TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
};
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++)
{
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)
{ 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_events++;
@ -166,48 +151,43 @@ int new_analysis_bu2hpmumu()
for (unsigned int i = 0; i < sim_entries; i++)
{
sim_chain->GetEntry(i);
Double_t reconstructed_B_Mass = (hp4v_sim->LorentzVector(K_MASS) + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
h1_Hp_PID_K_pref->Fill(Hp_PID_K_sim);
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)
Double_t reconstructed_B_Mass = (hp4v_sim->LorentzVector() + l14v_sim->LorentzVector() + l24v_sim->LorentzVector()).M();
if (sig_events < bkg_events)
{
h1_Hp_PID_K_postf->Fill(Hp_PID_K_sim);
if (sig_events < bkg_events)
if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
{ return v->IsMCFinite(); }))
{
if (retrain_bdt && std::all_of(vars.begin(), vars.end(), [](TV *v)
{ return v->IsMCFinite(); }))
{
sig_tree->Fill();
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);
}
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 << "# Starting evaluation of data." << std::endl;
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++)
{
data_chain->GetEntry(i);
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)
{ return v->IsDataFinite(); }))
@ -264,15 +244,13 @@ int new_analysis_bu2hpmumu()
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_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);
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);
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_psi2s_fitsum, analysis_name);

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