training tryouts branch to master #3
@ -1,11 +1,11 @@
|
||||
#### B0ToHpHmMuMu @ Tue Apr 2 10:44:44 2024 ####
|
||||
J/Psi Mode: 341 #pm 23 / 185 #pm 23
|
||||
Sig/Bkg: 1.85 #pm 0.26
|
||||
Psi(2S) Mode: 23 #pm 6 / 43 #pm 11
|
||||
Sig/Bkg: 0.54 #pm 0.19
|
||||
Mode Yield Ratio: 0.068 #pm 0.018
|
||||
#### B0ToHpHmMuMu @ Fri Apr 5 14:10:32 2024 ####
|
||||
J/Psi Mode: 252 #pm 19 / 59 #pm 14
|
||||
Sig/Bkg: 4.25 #pm 1.02
|
||||
Psi(2S) Mode: 15 #pm 4 / 3 #pm 4
|
||||
Sig/Bkg: 4.59 #pm 4.45
|
||||
Mode Yield Ratio: 0.060 #pm 0.017
|
||||
Rel Br Frac MuMu: 7.701 #pm 0.804
|
||||
Rel Br Frac: 0.522 #pm 0.149
|
||||
Rel Br Frac: 0.463 #pm 0.136
|
||||
|
||||
|
||||
Fitted Parameters: Simulation
|
||||
@ -19,14 +19,14 @@ n_{R} = 5.67 \pm 0.73
|
||||
|
||||
Fitted Parameters: J/PSI
|
||||
|
||||
N_{Sig} = 341 \pm 23
|
||||
N_{Bkg} = 185 \pm 23
|
||||
N_{Bkg,2#sigma} = 97 \pm 6
|
||||
N_{Sig}/N_{Bkg} = 1.85 \pm 0.26
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 3.53 \pm 0.32
|
||||
#lambda = -0.00217 \pm 0.00066
|
||||
#mu = 5270.03 \pm 1.92
|
||||
#sigma_{LR} = 26.26 \pm 1.98
|
||||
N_{Sig} = 252 \pm 19
|
||||
N_{Bkg} = 59 \pm 14
|
||||
N_{Bkg,2#sigma} = 79 \pm 6
|
||||
N_{Sig}/N_{Bkg} = 4.25 \pm 1.02
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 3.19 \pm 0.33
|
||||
#lambda = -0.00400 \pm 0.00395
|
||||
#mu = 5267.82 \pm 2.42
|
||||
#sigma_{LR} = 29.94 \pm 2.37
|
||||
#alpha_{L} = 1.72 (c)
|
||||
n_{L} = 3.34 (c)
|
||||
#alpha_{R} = 1.76 (c)
|
||||
@ -34,14 +34,14 @@ n_{R} = 5.67 (c)
|
||||
|
||||
Fitted Parameters: PSI(2S)
|
||||
|
||||
N_{Sig} = 23 \pm 6
|
||||
N_{Bkg} = 43 \pm 10
|
||||
N_{Bkg,2#sigma} = 12 \pm 2
|
||||
N_{Sig}/N_{Bkg} = 0.54 \pm 0.19
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 1.93 \pm 0.60
|
||||
#lambda = -0.00202 \pm 0.00120
|
||||
#mu = 5267.35 \pm 7.06
|
||||
#sigma_{LR} = 26.26 (c)
|
||||
N_{Sig} = 15 \pm 4
|
||||
N_{Bkg} = 3 \pm 3
|
||||
N_{Bkg,2#sigma} = 2 \pm 1
|
||||
N_{Sig}/N_{Bkg} = 4.59 \pm 4.44
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 6.17 \pm 2.34
|
||||
#lambda = -0.00000 \pm 0.00320
|
||||
#mu = 5275.52 \pm 8.60
|
||||
#sigma_{LR} = 29.94 (c)
|
||||
#alpha_{L} = 1.72 (c)
|
||||
n_{L} = 3.34 (c)
|
||||
#alpha_{R} = 1.76 (c)
|
||||
@ -50,11 +50,11 @@ n_{R} = 5.67 (c)
|
||||
# J/psi
|
||||
\begin{tabular}{c|c}
|
||||
$N_{Sig}$ & $N_{Bkg}$\\\hline
|
||||
$341 \pm 23$ & $185 \pm 23$
|
||||
$252 \pm 19$ & $59 \pm 14$
|
||||
\end{tabular}
|
||||
|
||||
# psi(2S)
|
||||
\begin{tabular}{c|c}
|
||||
$N_{Sig}$ & $N_{Bkg}$\\\hline
|
||||
$23 \pm 6$ & $43 \pm 10$
|
||||
$15 \pm 4$ & $3 \pm 3$
|
||||
\end{tabular}
|
||||
|
@ -1,18 +1,18 @@
|
||||
#### BuToHpMuMu @ Tue Apr 2 10:44:14 2024 ####
|
||||
J/Psi Mode: 897 #pm 34 / 402 #pm 30
|
||||
Sig/Bkg: 2.23 #pm 0.19
|
||||
Psi(2S) Mode: 69 #pm 12 / 233 #pm 26
|
||||
Sig/Bkg: 0.30 #pm 0.06
|
||||
Mode Yield Ratio: 0.077 #pm 0.013
|
||||
#### BuToHpMuMu @ Wed Apr 10 11:06:16 2024 ####
|
||||
J/Psi Mode: 733 #pm 30 / 174 #pm 20
|
||||
Sig/Bkg: 4.20 #pm 0.49
|
||||
Psi(2S) Mode: 64 #pm 9 / 43 #pm 11
|
||||
Sig/Bkg: 1.50 #pm 0.42
|
||||
Mode Yield Ratio: 0.087 #pm 0.013
|
||||
Rel Br Frac MuMu: 7.701 #pm 0.804
|
||||
Rel Br Frac: 0.594 #pm 0.116
|
||||
Rel Br Frac: 0.673 #pm 0.121
|
||||
|
||||
Params from Sim:
|
||||
aL: 1.76
|
||||
nL: 4.02
|
||||
aR: 1.93
|
||||
nR: 4.33
|
||||
S: 23.48
|
||||
S: 23.72
|
||||
|
||||
#mu = 5278.16 \pm 0.05
|
||||
#sigma_{LR} = 16.43 \pm 0.05
|
||||
@ -23,14 +23,14 @@ n_{R} = 4.33 \pm 0.19
|
||||
|
||||
Fitted Parameters: J/PSI
|
||||
|
||||
N_{Sig} = 897 \pm 34
|
||||
N_{Bkg} = 402 \pm 30
|
||||
N_{Bkg,2#sigma} = 246 \pm 9
|
||||
N_{Sig}/N_{Bkg} = 2.23 \pm 0.19
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 3.64 \pm 0.19
|
||||
#lambda = -0.00350 \pm 0.00041
|
||||
#mu = 5271.03 \pm 0.96
|
||||
#sigma_{LR} = 23.48 \pm 0.90
|
||||
N_{Sig} = 733 \pm 29
|
||||
N_{Bkg} = 174 \pm 19
|
||||
N_{Bkg,2#sigma} = 179 \pm 7
|
||||
N_{Sig}/N_{Bkg} = 4.20 \pm 0.49
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 4.08 \pm 0.23
|
||||
#lambda = -0.00400 \pm 0.00018
|
||||
#mu = 5271.39 \pm 1.03
|
||||
#sigma_{LR} = 23.72 \pm 0.94
|
||||
#alpha_{L} = 1.76 (c)
|
||||
n_{L} = 4.02 (c)
|
||||
#alpha_{R} = 1.93 (c)
|
||||
@ -38,14 +38,14 @@ n_{R} = 4.33 (c)
|
||||
|
||||
Fitted Parameters: PSI(2S)
|
||||
|
||||
N_{Sig} = 69 \pm 11
|
||||
N_{Bkg} = 233 \pm 26
|
||||
N_{Bkg,2#sigma} = 44 \pm 4
|
||||
N_{Sig}/N_{Bkg} = 0.30 \pm 0.06
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 1.56 \pm 0.29
|
||||
#lambda = -0.00142 \pm 0.00056
|
||||
#mu = 5263.32 \pm 4.14
|
||||
#sigma_{LR} = 23.48 (c)
|
||||
N_{Sig} = 64 \pm 9
|
||||
N_{Bkg} = 43 \pm 10
|
||||
N_{Bkg,2#sigma} = 18 \pm 2
|
||||
N_{Sig}/N_{Bkg} = 1.50 \pm 0.42
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 3.56 \pm 0.67
|
||||
#lambda = -0.00217 \pm 0.00121
|
||||
#mu = 5264.03 \pm 3.67
|
||||
#sigma_{LR} = 23.72 (c)
|
||||
#alpha_{L} = 1.76 (c)
|
||||
n_{L} = 4.02 (c)
|
||||
#alpha_{R} = 1.93 (c)
|
||||
@ -54,11 +54,11 @@ n_{R} = 4.33 (c)
|
||||
# J/psi
|
||||
\begin{tabular}{c|c}
|
||||
$N_{Sig}$ & $N_{Bkg}$\\\hline
|
||||
$897 \pm 34$ & $402 \pm 30$
|
||||
$733 \pm 29$ & $174 \pm 19$
|
||||
\end{tabular}
|
||||
|
||||
# psi(2S)
|
||||
\begin{tabular}{c|c}
|
||||
$N_{Sig}$ & $N_{Bkg}$\\\hline
|
||||
$69 \pm 11$ & $233 \pm 26$
|
||||
$64 \pm 9$ & $43 \pm 10$
|
||||
\end{tabular}
|
||||
|
@ -1,7 +1,7 @@
|
||||
#### BuToKpMuMu @ Tue Apr 2 10:45:35 2024 ####
|
||||
J/Psi Mode: 815 #pm 35 / 743 #pm 45
|
||||
Sig/Bkg: 1.10 #pm 0.09
|
||||
Psi(2S) Mode: 69 #pm 12 / 290 #pm 30
|
||||
#### BuToKpMuMu @ Wed Apr 10 10:51:08 2024 ####
|
||||
J/Psi Mode: 813 #pm 35 / 734 #pm 44
|
||||
Sig/Bkg: 1.11 #pm 0.09
|
||||
Psi(2S) Mode: 69 #pm 12 / 283 #pm 30
|
||||
Sig/Bkg: 0.24 #pm 0.05
|
||||
Mode Yield Ratio: 0.085 #pm 0.015
|
||||
Rel Br Frac MuMu: 7.701 #pm 0.804
|
||||
@ -12,7 +12,7 @@ aL: 1.77
|
||||
nL: 3.86
|
||||
aR: 1.96
|
||||
nR: 4.43
|
||||
S: 24.12
|
||||
S: 24.08
|
||||
|
||||
#mu = 5278.10 \pm 0.05
|
||||
#sigma_{LR} = 16.35 \pm 0.05
|
||||
@ -23,14 +23,14 @@ n_{R} = 4.43 \pm 0.20
|
||||
|
||||
Fitted Parameters: J/PSI
|
||||
|
||||
N_{Sig} = 815 \pm 34
|
||||
N_{Bkg} = 743 \pm 44
|
||||
N_{Bkg,2#sigma} = 259 \pm 9
|
||||
N_{Sig}/N_{Bkg} = 1.10 \pm 0.08
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 3.15 \pm 0.18
|
||||
#lambda = -0.00207 \pm 0.00031
|
||||
#mu = 5271.47 \pm 1.08
|
||||
#sigma_{LR} = 24.12 \pm 1.02
|
||||
N_{Sig} = 813 \pm 34
|
||||
N_{Bkg} = 734 \pm 44
|
||||
N_{Bkg,2#sigma} = 257 \pm 9
|
||||
N_{Sig}/N_{Bkg} = 1.11 \pm 0.08
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 3.16 \pm 0.18
|
||||
#lambda = -0.00209 \pm 0.00031
|
||||
#mu = 5271.35 \pm 1.08
|
||||
#sigma_{LR} = 24.08 \pm 1.02
|
||||
#alpha_{L} = 1.77 (c)
|
||||
n_{L} = 3.86 (c)
|
||||
#alpha_{R} = 1.96 (c)
|
||||
@ -38,14 +38,14 @@ n_{R} = 4.43 (c)
|
||||
|
||||
Fitted Parameters: PSI(2S)
|
||||
|
||||
N_{Sig} = 69 \pm 12
|
||||
N_{Bkg} = 290 \pm 30
|
||||
N_{Bkg,2#sigma} = 53 \pm 5
|
||||
N_{Sig} = 69 \pm 11
|
||||
N_{Bkg} = 283 \pm 29
|
||||
N_{Bkg,2#sigma} = 52 \pm 5
|
||||
N_{Sig}/N_{Bkg} = 0.24 \pm 0.05
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 1.32 \pm 0.25
|
||||
#lambda = -0.00130 \pm 0.00051
|
||||
#mu = 5268.10 \pm 4.25
|
||||
#sigma_{LR} = 24.12 (c)
|
||||
N_{Sig}/N_{Bkg,2#sigma} = 1.33 \pm 0.25
|
||||
#lambda = -0.00136 \pm 0.00051
|
||||
#mu = 5268.31 \pm 4.17
|
||||
#sigma_{LR} = 24.08 (c)
|
||||
#alpha_{L} = 1.77 (c)
|
||||
n_{L} = 3.86 (c)
|
||||
#alpha_{R} = 1.96 (c)
|
||||
@ -54,11 +54,11 @@ n_{R} = 4.43 (c)
|
||||
# J/psi
|
||||
\begin{tabular}{c|c}
|
||||
$N_{Sig}$ & $N_{Bkg}$\\\hline
|
||||
$815 \pm 34$ & $743 \pm 44$
|
||||
$813 \pm 34$ & $734 \pm 44$
|
||||
\end{tabular}
|
||||
|
||||
# psi(2S)
|
||||
\begin{tabular}{c|c}
|
||||
$N_{Sig}$ & $N_{Bkg}$\\\hline
|
||||
$69 \pm 12$ & $290 \pm 30$
|
||||
$69 \pm 11$ & $283 \pm 29$
|
||||
\end{tabular}
|
||||
|
@ -229,7 +229,7 @@ void TrainBDT(std::vector<TV *> vars, const char* unique_id, TTree *sig_tree, TT
|
||||
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=600:MinNodeSize=2.5%:CreateMVAPdfs:MaxDepth=3:BoostType=AdaBoost:AdaBoostBeta=0.5:UseBaggedBoost:BaggedSampleFraction=0.5:SeparationType=GiniIndex:nCuts=20");
|
||||
factory->BookMethod(data_loader, TMVA::Types::kBDT, "BDT", "!H:!V:NTrees=400:MinNodeSize=2.5%:CreateMVAPdfs:MaxDepth=3:BoostType=AdaBoost:AdaBoostBeta=0.5:UseBaggedBoost:BaggedSampleFraction=0.5:SeparationType=GiniIndex:nCuts=20");
|
||||
|
||||
factory->TrainAllMethods();
|
||||
factory->TestAllMethods();
|
||||
|
@ -51,6 +51,7 @@ int new_analysis_b02hphmmumu()
|
||||
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;
|
||||
const bool skip_fit = false;
|
||||
|
||||
TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
|
||||
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_Sprucing23r1_90000000_RD.root");
|
||||
@ -108,8 +109,10 @@ int new_analysis_b02hphmmumu()
|
||||
TV::Float("B0_PT", "B0_PT"),
|
||||
TV::Float("B0_BPVFDCHI2", "B0_BPVFDCHI2"),
|
||||
TV::Float("B0_BPVDIRA", "B0_BPVDIRA"),
|
||||
TV::Double("B0_CHI2", "B0_CHI2"),
|
||||
TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
|
||||
TV::Float("Jpsi_PT", "Jpsi_PT"),
|
||||
TV::Double("Jpsi_CHI2", "Jpsi_CHI2"),
|
||||
TV::Float("Kst0_BPVIPCHI2", "Kst0_BPVIPCHI2"),
|
||||
TV::Float("Kst0_PT", "Kst0_PT"),
|
||||
TV::Float("Kplus_BPVIPCHI2", "Kplus_BPVIPCHI2"),
|
||||
@ -117,10 +120,10 @@ int new_analysis_b02hphmmumu()
|
||||
TV::Float("piminus_BPVIPCHI2", "piminus_BPVIPCHI2"),
|
||||
TV::Float("piminus_PT", "piminus_PT"),
|
||||
kplus_pid_k_var,
|
||||
TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
|
||||
// TV::Float("muminus_PT", "muminus_PT"),
|
||||
TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
|
||||
// TV::Float("muplus_PT", "muplus_PT"),
|
||||
//TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
|
||||
TV::Float("muminus_PT", "muminus_PT"),
|
||||
//TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
|
||||
TV::Float("muplus_PT", "muplus_PT"),
|
||||
};
|
||||
|
||||
TTree *sig_tree = new TTree("TreeS", "tree containing signal data");
|
||||
@ -147,7 +150,8 @@ int new_analysis_b02hphmmumu()
|
||||
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. && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.))
|
||||
&& kplus_pid_k_var->GetDataDouble() > -3 && (kplus_pid_k_var->GetDataDouble() - piminus_PID_K) > 0)
|
||||
{
|
||||
bkg_tree->Fill();
|
||||
bkg_events++;
|
||||
@ -194,6 +198,11 @@ int new_analysis_b02hphmmumu()
|
||||
std::cout << "# Finished BDT retrain." << std::endl;
|
||||
}
|
||||
|
||||
if (skip_fit) {
|
||||
std::cout << "# Skipping evaluation of data." << std::endl;
|
||||
return 0;
|
||||
}
|
||||
|
||||
std::cout << "# Starting evaluation of data." << std::endl;
|
||||
|
||||
Float_t *train_vars = new Float_t[vars.size()];
|
||||
|
@ -50,7 +50,8 @@ int new_analysis_bu2hpmumu()
|
||||
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;
|
||||
const bool retrain_bdt = true;
|
||||
const bool skip_fit = false;
|
||||
|
||||
TChain *data_chain = new TChain(TString::Format("%s/DecayTree", data_tree_name));
|
||||
data_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/data_samples/Collision23_Beam6800GeV-VeloClosed-MagDown-Excl-UT_RealData_Sprucing23r1_90000000_RD.root");
|
||||
@ -60,9 +61,9 @@ int new_analysis_bu2hpmumu()
|
||||
FourVect *l24v_data = FourVect::Init(data_chain, "muplus");
|
||||
FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
|
||||
|
||||
// Double_t Kplus_PID_K;
|
||||
Double_t Kplus_PID_K;
|
||||
|
||||
// data_chain->SetBranchAddress("Kplus_PID_K", &Kplus_PID_K);
|
||||
data_chain->SetBranchAddress("Kplus_PID_K", &Kplus_PID_K);
|
||||
|
||||
TChain *sim_chain = new TChain(TString::Format("%s/DecayTree", sim_tree_name));
|
||||
sim_chain->Add("/auto/data/pfeiffer/inclusive_detached_dilepton/MC/BuToHpMuMu_mapped_mc.root");
|
||||
@ -100,17 +101,19 @@ int new_analysis_bu2hpmumu()
|
||||
auto hlt1_decision_histos = CreateHlt1DecisionHistos(analysis_name);
|
||||
std::map<std::string, int> exclusive_hits{};
|
||||
|
||||
TV* kplus_pid_k_var = TV::Double("Kplus_PID_K", "Kplus_PID_K");
|
||||
// TV* kplus_pid_k_var = TV::Double("Kplus_PID_K", "Kplus_PID_K");
|
||||
|
||||
std::vector<TV *> vars{
|
||||
TV::Float("B_PT", "B_PT"),
|
||||
TV::Float("B_BPVFDCHI2", "B_BPVFDCHI2"),
|
||||
TV::Float("B_BPVDIRA", "B_BPVDIRA"),
|
||||
TV::Double("B_CHI2", "B_CHI2"),
|
||||
TV::Float("Jpsi_BPVIPCHI2", "Jpsi_BPVIPCHI2"),
|
||||
TV::Float("Jpsi_PT", "Jpsi_PT"),
|
||||
TV::Double("Jpsi_CHI2", "Jpsi_CHI2"),
|
||||
TV::Float("Kplus_BPVIPCHI2", "Kplus_BPVIPCHI2"),
|
||||
TV::Float("Kplus_PT", "Kplus_PT"),
|
||||
kplus_pid_k_var,
|
||||
// kplus_pid_k_var,
|
||||
TV::Float("muminus_BPVIPCHI2", "muminus_BPVIPCHI2"),
|
||||
// TV::Float("muminus_PT", "muminus_PT"),
|
||||
TV::Float("muplus_BPVIPCHI2", "muplus_BPVIPCHI2"),
|
||||
@ -142,7 +145,7 @@ int new_analysis_bu2hpmumu()
|
||||
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. && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)) && Kplus_PID_K > -3)
|
||||
{
|
||||
bkg_tree->Fill();
|
||||
bkg_events++;
|
||||
@ -186,6 +189,12 @@ int new_analysis_bu2hpmumu()
|
||||
std::cout << "# Finished BDT retrain." << std::endl;
|
||||
}
|
||||
|
||||
if (skip_fit)
|
||||
{
|
||||
std::cout << "# Skipping evaluation of data." << std::endl;
|
||||
return 0;
|
||||
}
|
||||
|
||||
std::cout << "# Starting evaluation of data." << std::endl;
|
||||
|
||||
Float_t *train_vars = new Float_t[vars.size()];
|
||||
@ -222,23 +231,26 @@ int new_analysis_bu2hpmumu()
|
||||
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 && kplus_pid_k_var->GetDataDouble() > -3)
|
||||
if (Kplus_PID_K > -3 && ((TMath::Abs(dimuon.M() - JPSI_MASS) < 100.) || (TMath::Abs(dimuon.M() - PSI2S_MASS) < 100.)))
|
||||
{
|
||||
h1_B_Mass_bdtf->Fill(reconstructed_B_Mass);
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
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)
|
||||
{
|
||||
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();
|
||||
h1_B_Mass_bdtf->Fill(reconstructed_B_Mass);
|
||||
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();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -290,36 +302,41 @@ int new_analysis_bu2hpmumu()
|
||||
res_file << "#### " << analysis_name << " @ " << std::put_time(&tm, "%c") << " ####" << std::endl;
|
||||
res_file << "J/Psi Mode: " << ErrToStr(roofit_hist_jpsi_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_jpsi_fitsum.background_yield, 0) << std::endl;
|
||||
res_file << " Sig/Bkg: " << ErrToStr(jpsi_sigobkg, 2) << std::endl;
|
||||
res_file << "Psi(2S) Mode: " << ErrToStr(roofit_hist_psi2s_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_psi2s_fitsum.background_yield, 0) << std::endl;
|
||||
res_file << "Psi(2S) Mode: " << ErrToStr(roofit_hist_psi2s_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_psi2s_fitsum.background_yield, 0) << std::endl;
|
||||
res_file << " Sig/Bkg: " << ErrToStr(psi2s_sigobkg, 2) << std::endl;
|
||||
res_file << "Mode Yield Ratio: " << ErrToStr(signal_ratio, 3) << std::endl;
|
||||
res_file << "Rel Br Frac MuMu: " << ErrToStr(mumu_br_frac, 3) << std::endl;
|
||||
|
||||
auto br_frac = MultWithErr(signal_ratio.first, signal_ratio.second, mumu_br_frac.first, mumu_br_frac.second);
|
||||
res_file << "Rel Br Frac: " << ErrToStr(br_frac, 3) << std::endl << std::endl;
|
||||
res_file << "Rel Br Frac: " << ErrToStr(br_frac, 3) << std::endl
|
||||
<< std::endl;
|
||||
|
||||
res_file << "Params from Sim:" << std::endl << roofit_hist_sim.shape_parameters.ToString() << std::endl;
|
||||
res_file << "Params from Sim:" << std::endl
|
||||
<< roofit_hist_sim.shape_parameters.ToString() << std::endl;
|
||||
|
||||
for (const auto &par : roofit_hist_sim.fitted_params)
|
||||
{
|
||||
res_file << par.ToString(true).c_str() << std::endl;
|
||||
}
|
||||
|
||||
res_file << std::endl << "Fitted Parameters: J/PSI" << std::endl << std::endl;
|
||||
res_file << std::endl
|
||||
<< "Fitted Parameters: J/PSI" << std::endl
|
||||
<< std::endl;
|
||||
|
||||
for (const auto &par : roofit_hist_jpsi_fitsum.fitted_params)
|
||||
{
|
||||
res_file << par.ToString(true).c_str() << std::endl;
|
||||
}
|
||||
|
||||
res_file << std::endl << "Fitted Parameters: PSI(2S)" << std::endl << std::endl;
|
||||
res_file << std::endl
|
||||
<< "Fitted Parameters: PSI(2S)" << std::endl
|
||||
<< std::endl;
|
||||
|
||||
for (const auto &par : roofit_hist_psi2s_fitsum.fitted_params)
|
||||
{
|
||||
res_file << par.ToString(true).c_str() << std::endl;
|
||||
}
|
||||
|
||||
|
||||
auto print_table = [&res_file](std::string name, std::pair<double, double> sig, std::pair<double, double> bkg)
|
||||
{
|
||||
res_file << std::endl;
|
||||
|
@ -58,6 +58,10 @@ int new_analysis_bu2kpmumu()
|
||||
FourVect *l24v_data = FourVect::Init(data_chain, "muminus");
|
||||
FourVect *hp4v_data = FourVect::Init(data_chain, "Kplus");
|
||||
|
||||
Double_t Kplus_PID_K;
|
||||
|
||||
data_chain->SetBranchAddress("Kplus_PID_K", &Kplus_PID_K);
|
||||
|
||||
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_turbo_v0r0p6657752_BuToKpMuMu_12143001_magdown.root");
|
||||
|
||||
@ -134,15 +138,18 @@ int new_analysis_bu2kpmumu()
|
||||
|
||||
h1_B_Mass_unf->Fill(reconstructed_B_Mass);
|
||||
|
||||
if (TMath::Abs(dimuon.M() - JPSI_MASS) < 100.)
|
||||
if (Kplus_PID_K > -3)
|
||||
{
|
||||
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();
|
||||
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);
|
||||
@ -161,7 +168,7 @@ int new_analysis_bu2kpmumu()
|
||||
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);
|
||||
|
||||
roofit_hist_sim.shape_parameters.sigma_lr = roofit_hist_jpsi_fitsum.shape_parameters.sigma_lr;
|
||||
|
||||
|
||||
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);
|
||||
@ -185,36 +192,41 @@ int new_analysis_bu2kpmumu()
|
||||
res_file << "#### " << analysis_name << " @ " << std::put_time(&tm, "%c") << " ####" << std::endl;
|
||||
res_file << "J/Psi Mode: " << ErrToStr(roofit_hist_jpsi_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_jpsi_fitsum.background_yield, 0) << std::endl;
|
||||
res_file << " Sig/Bkg: " << ErrToStr(jpsi_sigobkg, 2) << std::endl;
|
||||
res_file << "Psi(2S) Mode: " << ErrToStr(roofit_hist_psi2s_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_psi2s_fitsum.background_yield, 0) << std::endl;
|
||||
res_file << "Psi(2S) Mode: " << ErrToStr(roofit_hist_psi2s_fitsum.signal_yield, 0) << " / " << ErrToStr(roofit_hist_psi2s_fitsum.background_yield, 0) << std::endl;
|
||||
res_file << " Sig/Bkg: " << ErrToStr(psi2s_sigobkg, 2) << std::endl;
|
||||
res_file << "Mode Yield Ratio: " << ErrToStr(signal_ratio, 3) << std::endl;
|
||||
res_file << "Rel Br Frac MuMu: " << ErrToStr(mumu_br_frac, 3) << std::endl;
|
||||
|
||||
auto br_frac = MultWithErr(signal_ratio.first, signal_ratio.second, mumu_br_frac.first, mumu_br_frac.second);
|
||||
res_file << "Rel Br Frac: " << ErrToStr(br_frac, 3) << std::endl << std::endl;
|
||||
res_file << "Rel Br Frac: " << ErrToStr(br_frac, 3) << std::endl
|
||||
<< std::endl;
|
||||
|
||||
res_file << "Params from Sim:" << std::endl << roofit_hist_sim.shape_parameters.ToString() << std::endl;
|
||||
res_file << "Params from Sim:" << std::endl
|
||||
<< roofit_hist_sim.shape_parameters.ToString() << std::endl;
|
||||
|
||||
for (const auto &par : roofit_hist_sim.fitted_params)
|
||||
{
|
||||
res_file << par.ToString(true).c_str() << std::endl;
|
||||
}
|
||||
|
||||
res_file << std::endl << "Fitted Parameters: J/PSI" << std::endl << std::endl;
|
||||
res_file << std::endl
|
||||
<< "Fitted Parameters: J/PSI" << std::endl
|
||||
<< std::endl;
|
||||
|
||||
for (const auto &par : roofit_hist_jpsi_fitsum.fitted_params)
|
||||
{
|
||||
res_file << par.ToString(true).c_str() << std::endl;
|
||||
}
|
||||
|
||||
res_file << std::endl << "Fitted Parameters: PSI(2S)" << std::endl << std::endl;
|
||||
res_file << std::endl
|
||||
<< "Fitted Parameters: PSI(2S)" << std::endl
|
||||
<< std::endl;
|
||||
|
||||
for (const auto &par : roofit_hist_psi2s_fitsum.fitted_params)
|
||||
{
|
||||
res_file << par.ToString(true).c_str() << std::endl;
|
||||
}
|
||||
|
||||
|
||||
auto print_table = [&res_file](std::string name, std::pair<double, double> sig, std::pair<double, double> bkg)
|
||||
{
|
||||
res_file << std::endl;
|
||||
|
Loading…
Reference in New Issue
Block a user