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bmm4fitter.cc
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#include "bmm4common.h"
void BuildGaussianConstaint(RooWorkspace* wspace, TString key, RooAbsReal& mean, RooAbsReal& sigma,
double min = 0., double max = 0., bool always_positive = true)
{
if (min==max) { // auto boundaries, set to +-10 sigma
min = mean.getVal() - sigma.getVal()*10.;
max = mean.getVal() + sigma.getVal()*10.;
if (always_positive && min<0.) min = 0.;
}
RooRealVar main_var(key, "", mean.getVal(), min, max);
main_var.setError(sigma.getVal());
RooGaussian gauss(Form("%s_gau",key.Data()), "", main_var, mean, sigma);
if (sigma.getVal()==0.) // if the sigma has been set to 0, fixed the main variable
main_var.setConstant(true);
cout << ">>> BuildGaussianConstaint: " << key << ": mu = " << mean.getVal() << ", sigma = " << sigma.getVal() << " [" << min << ", " << max << "]" << endl;
wspace->import(gauss);
}
void BuildGaussianConstaint(RooWorkspace* wspace, TString key, double mean, double sigma,
double min = 0., double max = 0., bool always_positive = true)
{
RooRealVar mean_const(Form("%s_mean",key.Data()), "", mean);
RooRealVar sigma_const(Form("%s_sigma",key.Data()), "", sigma);
BuildGaussianConstaint(wspace, key, mean_const, sigma_const, min, max, always_positive);
}
void BuildLognormalConstaint(RooWorkspace* wspace, TString key, RooAbsReal& mean, RooAbsReal& kappa,
double min = 0., double max = 0., bool always_positive = true)
{
if (min==max) { // auto boundaries, set to +-10 sigma
min = mean.getVal() - (kappa.getVal()-1.)*mean.getVal()*10.;
max = mean.getVal() + (kappa.getVal()-1.)*mean.getVal()*10.;
if (always_positive && min<0.) min = 0.;
}
RooRealVar main_var(key, "", mean.getVal(), min, max);
main_var.setError((kappa.getVal()-1.)*mean.getVal());
RooLognormal Lognormal(Form("%s_lnn",key.Data()), "", main_var, mean, kappa);
if (kappa.getVal()==1.) // if the kappa has been set to 1, fixed the main variable
main_var.setConstant(true);
cout << ">>> BuildLognormalConstaint: " << key << ": mu = " << mean.getVal() << ", kappa = " << kappa.getVal() << " [" << min << ", " << max << "]" << endl;
wspace->import(Lognormal);
}
void BuildLognormalConstaint(RooWorkspace* wspace, TString key, double mean, double kappa,
double min = 0., double max = 0., bool always_positive = true)
{
RooRealVar mean_const(Form("%s_mean",key.Data()), "", mean);
RooRealVar kappa_const(Form("%s_kappa",key.Data()), "", kappa);
BuildLognormalConstaint(wspace, key, mean_const, kappa_const, min, max, always_positive);
}
void PrepareGlobalVariables(RooWorkspace* wspace, RooWorkspace* wspace_base = 0)
{
cout << ">>> PrepareGlobalVariables() start" << endl;
if (wspace_base!=0) {
cout << ">>> import from existing workspace." << endl;
wspace->import(*wspace_base->var("BF_bs"));
wspace->import(*wspace_base->var("BF_bd"));
wspace->import(*wspace_base->var("Mass"));
wspace->import(*wspace_base->var("ReducedMassRes"));
wspace->import(*wspace_base->var("BDT"));
wspace->import(*wspace_base->var("Tau"));
wspace->import(*wspace_base->var("TauRes"));
wspace->import(*wspace_base->cat("GlobalCat"));
wspace->import(*wspace_base->cat("SpCat"));
wspace->import(*wspace_base->cat("SelCat"));
wspace->import(*wspace_base->cat("PairCat"));
wspace->import(*wspace_base->var("Weight"));
wspace->import(*wspace_base->var("dblmu_corr_scale"));
wspace->import(*wspace_base->pdf("one_over_BRBR_gau"));
wspace->import(*wspace_base->pdf("fs_over_fu_gau"));
wspace->import(*wspace_base->pdf("fs_over_fu_S13_gau"));
wspace->import(*wspace_base->var("TransTau_bs"));
wspace->import(*wspace_base->function("EffTau_bs"));
wspace->import(*wspace_base->var("EffTau_bd"));
wspace->import(*wspace_base->pdf("syst_semi_shape_gau"));
wspace->import(*wspace_base->pdf("syst_h2mu_shape_gau"));
return;
}
cout << ">>> prepare new variables & constraints." << endl;
vector<TString> keys;
vector<double> values;
keys.push_back("fsfu:val");
keys.push_back("fsfu:err");
keys.push_back("fsfu_S13:val");
keys.push_back("fsfu_S13:err");
keys.push_back("BF_BuToKpsiK:val");
keys.push_back("BF_BuToKpsiK:err");
keys.push_back("BF_JpsiToMuMu:val");
keys.push_back("BF_JpsiToMuMu:err");
keys.push_back("BF_BsToMuMu:val");
keys.push_back("BF_BdToMuMu:val");
keys.push_back("EffTau_BsToMuMu:val");
keys.push_back("EffTau_BdToMuMu:val");
enum {
_fsfu, _fsfu_err,
_fsfu_S13, _fsfu_S13_err,
_BF_bu2jpsik, _BF_bu2jpsik_err,
_BF_jpsi2mumu, _BF_jpsi2mumu_err,
_BF_bs2mumu, _BF_bd2mumu,
_EffTau_bs2mumu, _EffTau_bd2mumu
};
ReadValuesFromTex("input/external_parameters.tex",keys,values);
RooRealVar BF_bs("BF_bs", "", values[_BF_bs2mumu], 0., 1e-8);
RooRealVar BF_bd("BF_bd", "", values[_BF_bd2mumu], 0., 1e-8);
wspace->import(BF_bs);
wspace->import(BF_bd);
double one_over_BRBR_val = 1./ (values[_BF_bu2jpsik] * values[_BF_jpsi2mumu]);
double one_over_BRBR_err = one_over_BRBR_val *
sqrt(pow(values[_BF_bu2jpsik_err]/values[_BF_bu2jpsik],2) + pow(values[_BF_jpsi2mumu_err]/values[_BF_jpsi2mumu],2));
BuildGaussianConstaint(wspace, "one_over_BRBR", one_over_BRBR_val, one_over_BRBR_err);
BuildGaussianConstaint(wspace, "fs_over_fu", values[_fsfu], values[_fsfu_err]);
BuildGaussianConstaint(wspace, "fs_over_fu_S13", values[_fsfu_S13], values[_fsfu_S13_err]);
// Observables
RooRealVar Mass("Mass", "", Mass_bound[0], Mass_bound[1]);
RooRealVar ReducedMassRes("ReducedMassRes", "", ReducedMassRes_bound[0], ReducedMassRes_bound[1]);
RooRealVar BDT("BDT", "", BDT_bound[0], BDT_bound[1]);
RooRealVar Tau("Tau", "", Tau_bound[0], Tau_bound[1]); // in unit of ps
RooRealVar TauRes("TauRes", "", TauRes_bound[0], TauRes_bound[1]); // in unit of ps
// Event category
RooCategory GlobalCat("GlobalCat", "");
GlobalCat.defineType("undefined",-1); // uncategorized events
for (auto& cat: CatMan.cats)
GlobalCat.defineType(cat.id,cat.index);
// Internal observables
RooCategory SpCat("SpCat", ""); // sample index for internal use
for (int i=0;i<max(bmm3::ndecays,bmm4::ndecays);i++)
SpCat.defineType(Form("sp%d",i),i);
RooRealVar Weight("Weight", "", 0., 1E10); // event weighting for internal use
RooCategory SelCat("SelCat", ""); // internal selection (applied for tau & taures boundaries so far)
SelCat.defineType("failed",0);
SelCat.defineType("passed",1);
wspace->import(Mass);
wspace->import(ReducedMassRes);
wspace->import(BDT);
wspace->import(Tau);
wspace->import(TauRes);
wspace->import(GlobalCat);
wspace->import(SpCat);
wspace->import(SelCat);
wspace->import(Weight);
RooRealVar dblmu_corr_scale("dblmu_corr_scale", "", 1.0, 0., 10.0); // in-situ "double-mu" correction
//dblmu_corr_scale.setConstant(true);
wspace->import(dblmu_corr_scale);
RooCategory PairCat("PairCat",""); // seagull vs. cowboy
PairCat.defineType("seagull",0);
PairCat.defineType("cowboy",1);
wspace->import(PairCat);
RooRealVar TransTau_bs("TransTau_bs", "", _Transform(values[_EffTau_bs2mumu]),fmin(_Transform(0.1),_Transform(10.)),fmax(_Transform(0.1),_Transform(10.))); // tau in unit of ps, PDG: BH: 1.610 +- 0.012 ps / BL: 1.422 +- 0.008 ps
RooFormulaVar EffTau_bs("EffTau_bs", "", "1./@0", RooArgList(TransTau_bs));
RooRealVar EffTau_bd("EffTau_bd", "", values[_EffTau_bd2mumu], 0.1, 5.0); // in unit of ps, PDG: 1.520 +- 0.004 ps
TransTau_bs.setConstant(true);
EffTau_bd.setConstant(true);
wspace->import(EffTau_bs);
wspace->import(EffTau_bd);
RooRealVar syst_semi_shape("syst_semi_shape", "", 0.0, -1.0, 1.0); // nuisance parameter for the shape systematic of semi background
wspace->import(syst_semi_shape);
RooRealVar syst_h2mu_shape("syst_h2mu_shape", "", 0.0, -1.0, 1.0); // nuisance parameter for the shape systematic of h2mu background
wspace->import(syst_h2mu_shape);
// nuisance parameters for the shape systematic of semi/h2mu background
BuildGaussianConstaint(wspace, "syst_semi_shape", 0.0, 1.0, -1., 1.);
BuildGaussianConstaint(wspace, "syst_h2mu_shape", 0.0, 1.0, -1., 1.);
}
void PrepareBMM3SubVariables(RooWorkspace* wspace, RooWorkspace* wspace_base = 0)
{
cout << ">>> PrepareBMM3SubVariables() start" << endl;
if (wspace_base!=0) {
cout << ">>> import from existing workspace." << endl;
for (auto& cat: CatMan.cats) {
if (!cat.era.Contains("2011") && !cat.era.Contains("2012")) continue;
wspace->import(*wspace_base->pdf(Form("N_bu_%s_gau",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("effratio_bs_%s_gau",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("effratio_bd_%s_gau",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("N_peak_%s_lnn",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("N_semi_%s_gau",cat.id.Data()))); // ISSUE: bmm4 takes lnn for semi background
wspace->import(*wspace_base->pdf(Form("N_h2mu_%s_lnn",cat.id.Data())));
wspace->import(*wspace_base->var(Form("N_comb_%s",cat.id.Data())));
}
return;
}
cout << ">>> build variables & constraints." << endl;
for (auto& cat: CatMan.cats) {
if (!cat.era.Contains("2011") && !cat.era.Contains("2012")) continue;
vector<TString> keys;
vector<double> values;
vector<double> errors;
keys.push_back(Form("N-OBS-BPLUS%d:val",cat.region));
keys.push_back(Form("N-OBS-BPLUS%d:tot",cat.region));
keys.push_back(Form("N-EFF-TOT-BSMM%d:val",cat.region));
keys.push_back(Form("N-EFF-TOT-BSMM%d:tot",cat.region));
keys.push_back(Form("N-EFF-TOT-BDMM%d:val",cat.region));
keys.push_back(Form("N-EFF-TOT-BDMM%d:tot",cat.region));
keys.push_back(Form("N-EFF-TOT-BPLUS%d:val",cat.region));
keys.push_back(Form("N-EFF-TOT-BPLUS%d:tot",cat.region));
enum {
_N_bu, _N_bu_err,
_eff_bs, _eff_bs_err,
_eff_bd, _eff_bd_err,
_eff_bu, _eff_bu_err
};
ReadValuesFromTex(Form("input/%s/anaBmm.plotResults.%s-cat2%d.tex",cat.era.Data(),cat.era.Data(),cat.bdt_bin),keys,values);
if (values[_N_bu_err]>values[_N_bu]) values[_N_bu_err] = values[_N_bu]*0.05; // hotfix for N_bu uncertainties
BuildGaussianConstaint(wspace, Form("N_bu_%s",cat.id.Data()),values[_N_bu],values[_N_bu_err]);
double eff_rel_err = 0.;
vector<TString> sys_keys;
vector<double> sys_values;
vector<double> sys_errors;
sys_keys.push_back(Form("Acceptance_%d",cat.region));
sys_keys.push_back(Form("MassScale_%d",cat.region));
sys_keys.push_back(Form("KaonTrack_%d",cat.region));
sys_keys.push_back(Form("Trigger_%d",cat.region));
sys_keys.push_back(Form("MuonID_%d",cat.region));
enum { _Acceptance, _MassScale, _KaonTrack, _Trigger, _MuonID };
ReadValuesFromPlainText("input/external_numbers.txt",sys_keys,sys_values,sys_errors);
eff_rel_err += pow(sys_values[_Acceptance],2);
eff_rel_err += pow(sys_values[_MassScale],2);
eff_rel_err += pow(sys_values[_KaonTrack],2);
eff_rel_err += pow(sys_values[_Trigger],2);
eff_rel_err += pow(sys_values[_MuonID],2);
sys_keys.clear();
sys_keys.push_back(Form("relDeltaEpsNoDataNoMcchan%d:val",cat.region));
sys_keys.push_back(Form("relDeltaEpsCsDataCsMcchan%d:val",cat.region));
enum { _NO_err, _CS_err };
ReadValuesFromTex(Form("input/%s/anaBmm.plotReducedOverlays.%s.tex",cat.era.Data(),cat.era.Data()),sys_keys,sys_values);
eff_rel_err += pow(sys_values[_NO_err],2);
eff_rel_err += pow(sys_values[_CS_err],2);
eff_rel_err = sqrt(eff_rel_err);
double effratio_bs = values[_eff_bs]/values[_eff_bu];
double effratio_bd = values[_eff_bd]/values[_eff_bu];
double effratio_bs_err = eff_rel_err * effratio_bs;
double effratio_bd_err = eff_rel_err * effratio_bd;
BuildGaussianConstaint(wspace, Form("effratio_bs_%s",cat.id.Data()),effratio_bs,effratio_bs_err);
BuildGaussianConstaint(wspace, Form("effratio_bd_%s",cat.id.Data()),effratio_bd,effratio_bd_err);
vector<TString> types = {"Peak", "Rsl", "Comb"};
vector<TString> fields = {"val", "e1", "e2"};
enum { _N_peak, _N_semi, _N_comb };
double N_val[types.size()], N_err[types.size()];
for (unsigned int i=0; i<types.size(); i++) {
TString& type = types[i];
keys.clear();
for (auto& field : fields) {
keys.push_back(Form("Bg%sLo%d:%s",type.Data(),cat.region,field.Data()));
keys.push_back(Form("Bg%sBd%d:%s",type.Data(),cat.region,field.Data()));
keys.push_back(Form("Bg%sBs%d:%s",type.Data(),cat.region,field.Data()));
keys.push_back(Form("Bg%sHi%d:%s",type.Data(),cat.region,field.Data()));
}
ReadValuesFromTex(Form("input/%s/anaBmm.plotResults.%s-cat2%d.tex",cat.era.Data(),cat.era.Data(),cat.bdt_bin),keys,values);
double val = 0., e1 = 0., e2 = 0.;
for (int j=0; j< 4; j++) {
val += values[j];
e1 += values[j+4];
e2 += values[j+8];
}
N_val[i] = val;
N_err[i] = sqrt(e1*e1 + e2*e2);
}
BuildLognormalConstaint(wspace, Form("N_peak_%s",cat.id.Data()),N_val[_N_peak],1.+N_err[_N_peak]/N_val[_N_peak]);
RooRealVar N_comb(Form("N_comb_%s",cat.id.Data()), "", N_val[_N_comb], 0., N_val[_N_comb]+N_err[_N_comb]*10.);
wspace->import(N_comb);
double N_semi = 0., N_semi_err = 0.;
// read the semileptonic background yields (process with 1 real muon)
for (int idx_sample=bmm3::_bgBs2KMuNu; idx_sample<=bmm3::_bgLb2PMuNu; idx_sample++) {
keys.clear();
keys.push_back(Form("%s:loSideband%d:val",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bdRare%d}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bsRare%d}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:hiSideband%d:val",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:loSideband%d:err",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bdRare%dE}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bsRare%dE}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:hiSideband%d:err",bmm3::decays[idx_sample].Data(),cat.region));
ReadValuesFromTex(Form("input/%s/anaBmm.plotResults.%s-cat2%d.tex",cat.era.Data(),cat.era.Data(),cat.bdt_bin),keys,values);
N_semi += values[0]+values[1]+values[2]+values[3]; // yields
N_semi_err += pow(values[4]+values[5]+values[6]+values[7],2); // error
}
N_semi_err = sqrt(N_semi_err);
double N_h2mu = 0., N_h2mu_err = 0.;
// read the hmumu background yields (process with 2 real muons)
for (int idx_sample=bmm3::_bgBu2PiMuMu; idx_sample<=bmm3::_bgBs2MuMuGamma; idx_sample++) {
keys.clear();
keys.push_back(Form("%s:loSideband%d:val",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bdRare%d}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bsRare%d}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:hiSideband%d:val",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:loSideband%d:err",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bdRare%dE}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:bsRare%dE}",bmm3::decays[idx_sample].Data(),cat.region));
keys.push_back(Form("%s:hiSideband%d:err",bmm3::decays[idx_sample].Data(),cat.region));
ReadValuesFromTex(Form("input/%s/anaBmm.plotResults.%s-cat2%d.tex",cat.era.Data(),cat.era.Data(),cat.bdt_bin),keys,values);
N_h2mu += values[0]+values[1]+values[2]+values[3]; // yields
N_h2mu_err += pow(values[4]+values[5]+values[6]+values[7],2); // error
}
N_h2mu_err = sqrt(N_h2mu_err);
BuildGaussianConstaint(wspace, Form("N_semi_%s",cat.id.Data()), N_semi, N_semi_err);
BuildLognormalConstaint(wspace, Form("N_h2mu_%s",cat.id.Data()), N_h2mu, 1.+N_h2mu_err/N_h2mu);
}
}
void PrepareBMM4SubVariables(RooWorkspace* wspace, RooWorkspace* wspace_base = 0)
{
cout << ">>> PrepareBMM4SubVariables() start" << endl;
if (wspace_base!=0) {
cout << ">>> import from existing workspace." << endl;
for (auto& cat: CatMan.cats) {
wspace->import(*wspace_base->pdf(Form("N_bu_%s_gau",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("effratio_bs_%s_gau",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("effratio_bd_%s_gau",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("N_peak_%s_lnn",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("N_semi_%s_lnn",cat.id.Data())));
wspace->import(*wspace_base->pdf(Form("N_h2mu_%s_lnn",cat.id.Data())));
wspace->import(*wspace_base->var(Form("N_comb_%s",cat.id.Data())));
wspace->import(*wspace_base->var(Form("DeltaMass_%s",cat.id.Data())));
wspace->import(*wspace_base->function(Form("ScaledMass_%s",cat.id.Data())));
wspace->import(*wspace_base->var(Form("WidthScale_%s",cat.id.Data())));
}
return;
}
cout << ">>> build variables & constraints." << endl;
for (auto& cat: CatMan.cats) {
cout << ">>> Prepare for category: " << cat.id << endl;
vector<TString> keys;
vector<double> values;
keys.push_back(Form("%s:DeltaMass-chan%d:val",cat.era.Data(),cat.region));
keys.push_back(Form("%s:WidthScale-chan%d:val",cat.era.Data(),cat.region));
ReadValuesFromTex("input/external_parameters.tex",keys,values);
RooRealVar *Mass = wspace->var("Mass");
RooRealVar DeltaMass(Form("DeltaMass_%s", cat.id.Data()), "", values[0]); // data-MC mass difference
RooFormulaVar ScaledMass(Form("ScaledMass_%s", cat.id.Data()), "", "@0-@1", RooArgList(*Mass, DeltaMass));
wspace->import(ScaledMass);
RooRealVar WidthScale(Form("WidthScale_%s", cat.id.Data()), "", values[1]); // data/MC width scale
wspace->import(WidthScale);
TString TexSource = Form("input/bmm4/scanBDT-%s.tex",cat.era.Data());
int bdt_min = (int)(cat.bdt_min*100.+1E-5);
int bdt_max = (int)(cat.bdt_max*100.+1E-5);
cout << ">>> bdt_min, bdt_max = " << bdt_min << ", " << bdt_max << endl;
TexVar N_bu(TexSource, Form("bdt_%d_%s:N-W8OBS-bupsik-chan%d",bdt_min,cat.era.Data(),cat.region));
TexVar eff_bs(TexSource, Form("bdt_%d_%s:EFF-TOT-bsmm-chan%d",bdt_min,cat.era.Data(),cat.region));
TexVar eff_bd(TexSource, Form("bdt_%d_%s:EFF-TOT-bdmm-chan%d",bdt_min,cat.era.Data(),cat.region));
TexVar eff_bu(TexSource, Form("bdt_%d_%s:EFF-TOT-bupsik-chan%d",bdt_min,cat.era.Data(),cat.region));
if (bdt_max<100) {
N_bu.SubVar(TexVar(TexSource, Form("bdt_%d_%s:N-W8OBS-bupsik-chan%d",bdt_max,cat.era.Data(),cat.region)));
eff_bs.SubVar(TexVar(TexSource, Form("bdt_%d_%s:EFF-TOT-bsmm-chan%d",bdt_max,cat.era.Data(),cat.region)));
eff_bd.SubVar(TexVar(TexSource, Form("bdt_%d_%s:EFF-TOT-bdmm-chan%d",bdt_max,cat.era.Data(),cat.region)));
eff_bu.SubVar(TexVar(TexSource, Form("bdt_%d_%s:EFF-TOT-bupsik-chan%d",bdt_max,cat.era.Data(),cat.region)));
}
BuildGaussianConstaint(wspace, Form("N_bu_%s",cat.id.Data()),N_bu.val,N_bu.etot);
double effratio_bs = eff_bs.val/eff_bu.val;
double effratio_bd = eff_bd.val/eff_bu.val;
double effratio_bs_err = pow(eff_bs.estat/eff_bs.val,2);
double effratio_bd_err = pow(eff_bd.estat/eff_bd.val,2);
double eff_rel_err = 0.; // common relative uncertainties
keys.clear();
keys.push_back(Form("effmuid4r_systematics:sys")); // muon ID uncertainty for efficiency ratios
keys.push_back(Form("efftrig4r_systematics:sys")); // trigger uncertainty for efficiency ratios
keys.push_back(Form("%s:efftrack_systematics:sys",cat.era.Data())); // kaon tracking efficiency
keys.push_back(Form("%s:yieldcorr_systematics:sys",cat.era.Data())); // yield instability correction
ReadValuesFromTex("input/external_parameters.tex",keys,values);
//eff_rel_err += pow(values[0],2); // muon ID [move to global, correlated systematics]
//eff_rel_err += pow(values[1],2); // trigger [move to global, correlated systematics]
//eff_rel_err += pow(values[2],2); // kaon [move to global, correlated systematics]
eff_rel_err += pow(values[3],2); // yield instability
keys.clear();
keys.push_back(Form("%s:acceptance_systematics_chan%d:sys",cat.era.Data(),cat.region)); // acceptance
keys.push_back(Form("%s:effana4r_systematics_chan%d:sys",cat.era.Data(),cat.region)); // analysis efficiency
keys.push_back(Form("%s:effcandbupsik_systematics_chan%d:sys",cat.era.Data(),cat.region)); // candidate selection: B+->J/psiK+
keys.push_back(Form("%s:effcandbsmm_systematics_chan%d:sys",cat.era.Data(),cat.region)); // candidate selection: Bs->mumu
keys.push_back(Form("%s:effcandbdmm_systematics_chan%d:sys",cat.era.Data(),cat.region)); // candidate selection: Bd->mumu
ReadValuesFromTex(Form("input/bmm4/plotSystematics.%s.tex",cat.era.Data()),keys,values);
//eff_rel_err += pow(values[0],2); // acceptance [move to global, correlated systematics]
eff_rel_err += pow(values[1],2); // analysis efficiency
eff_rel_err += pow(values[2],2); // B+->J/psiK+ candidate
effratio_bs_err += eff_rel_err;
effratio_bd_err += eff_rel_err;
effratio_bs_err += pow(values[3],2); // Bs->mumu candidate
effratio_bd_err += pow(values[4],2); // Bd->mumu candidate
// Adding effective lifetime correction on efficiencies & errors
keys.clear();
keys.push_back(Form("%s:effTau_efficienecy_correction:val",cat.id.Data())); // correction factor
keys.push_back(Form("%s:effTau_efficienecy_correction:sys",cat.id.Data())); // systematic uncertainty
ReadValuesFromTex(binsetup_parameter,keys,values);
effratio_bs *= values[0];
effratio_bs_err += pow(values[1],2);
// convert relative error to absolute error
effratio_bs_err = sqrt(effratio_bs_err)*effratio_bs;
effratio_bd_err = sqrt(effratio_bd_err)*effratio_bd;
BuildGaussianConstaint(wspace, Form("effratio_bs_%s",cat.id.Data()),effratio_bs,effratio_bs_err);
BuildGaussianConstaint(wspace, Form("effratio_bd_%s",cat.id.Data()),effratio_bd,effratio_bd_err);
// peaking background
TexVar N_peak;
for (int idx_sample=bmm4::_bskkMcBg; idx_sample<=bmm4::_lbpkMcBg; idx_sample++) {
TexVar var;
for (int bin=0; bin<=3; bin++) {
TexVar v(TexSource, Form("bdt_%d_%s:N-SCALEDYIELD-MBIN%d-%s-chan%d",bdt_min,cat.era.Data(),bin,bmm4::texlabels[idx_sample].Data(),cat.region));
if (bdt_max<100) v.SubVar(TexVar(TexSource, Form("bdt_%d_%s:N-SCALEDYIELD-MBIN%d-%s-chan%d",
bdt_max,cat.era.Data(),bin,bmm4::texlabels[idx_sample].Data(),cat.region)));
var.AddVar(v);
}
cout << ">>> Expected yield for " << cat.id << ": " << bmm4::texlabels[idx_sample] << ": " << var.val << " +- " << var.estat << " +- " << var.esyst << endl;
N_peak.AddVar(var);
}
BuildLognormalConstaint(wspace, Form("N_peak_%s",cat.id.Data()),N_peak.val,1.+N_peak.etot/N_peak.val);
// semileptonic background
TexVar N_semi;
for (int idx_sample=bmm4::_bskmunuMcBg; idx_sample<=bmm4::_lbpmunuMcBg; idx_sample++) {
TexVar var;
for (int bin=0; bin<=3; bin++) {
TexVar v(TexSource, Form("bdt_%d_%s:N-SCALEDYIELD-MBIN%d-%s-chan%d",bdt_min,cat.era.Data(),bin,bmm4::texlabels[idx_sample].Data(),cat.region));
if (bdt_max<100) v.SubVar(TexVar(TexSource, Form("bdt_%d_%s:N-SCALEDYIELD-MBIN%d-%s-chan%d",
bdt_max,cat.era.Data(),bin,bmm4::texlabels[idx_sample].Data(),cat.region)));
var.AddVar(v);
}
cout << ">>> Expected yield for " << cat.id << ": " << bmm4::texlabels[idx_sample] << ": " << var.val << " +- " << var.estat << " +- " << var.esyst << endl;
N_semi.AddVar(var);
}
BuildLognormalConstaint(wspace, Form("N_semi_%s",cat.id.Data()),N_semi.val,1.+N_semi.etot/N_semi.val);
// h2mu background
TexVar N_h2mu;
for (int idx_sample=bmm4::_bdpimumuMcBg; idx_sample<=bmm4::_bupimumuMcBg; idx_sample++) {
TexVar var;
for (int bin=0; bin<=3; bin++) {
TexVar v(TexSource, Form("bdt_%d_%s:N-SCALEDYIELD-MBIN%d-%s-chan%d",bdt_min,cat.era.Data(),bin,bmm4::texlabels[idx_sample].Data(),cat.region));
if (bdt_max<100) v.SubVar(TexVar(TexSource, Form("bdt_%d_%s:N-SCALEDYIELD-MBIN%d-%s-chan%d",
bdt_max,cat.era.Data(),bin,bmm4::texlabels[idx_sample].Data(),cat.region)));
var.AddVar(v);
}
cout << ">>> Expected yield for " << cat.id << ": " << bmm4::texlabels[idx_sample] << ": " << var.val << " +- " << var.estat << " +- " << var.esyst << endl;
N_h2mu.AddVar(var);
}
BuildLognormalConstaint(wspace, Form("N_h2mu_%s",cat.id.Data()),N_h2mu.val,1.+N_h2mu.etot/N_h2mu.val);
// combinatorial background
TexVar N_comb;
for (int bin=0; bin<=3; bin++) {
TexVar v(TexSource, Form("bdt_%d_%s:N-FIT-MBIN%d-CB-chan%d",bdt_min,cat.era.Data(),bin,cat.region));
if (bdt_max<100) v.SubVar(TexVar(TexSource, Form("bdt_%d_%s:N-FIT-MBIN%d-CB-chan%d",bdt_max,cat.era.Data(),bin,cat.region)));
N_comb.AddVar(v);
}
if (N_comb.val<1.) N_comb.val = 1.; // ISSUE: hot fix for too small background
wspace->import(RooRealVar(Form("N_comb_%s",cat.id.Data()), "", N_comb.val, 0., max(10.,N_comb.val+sqrt(N_comb.val)*10.)));
}
}
void LoadDataFromBMM3Tree(RooWorkspace* wspace, RooAbsData *dataset, TString filename, TString era)
{
RooRealVar *Mass = wspace->var("Mass");
RooRealVar *ReducedMassRes = wspace->var("ReducedMassRes");
RooRealVar *BDT = wspace->var("BDT");
RooRealVar *Tau = wspace->var("Tau");
RooRealVar *TauRes = wspace->var("TauRes");
RooCategory *SelCat = wspace->cat("SelCat");
RooCategory *PairCat = wspace->cat("PairCat");
RooCategory *GlobalCat = wspace->cat("GlobalCat");
RooArgSet varlist(*Mass,*ReducedMassRes,*BDT,*Tau,*TauRes,*SelCat,*PairCat,*GlobalCat);
cout << ">>> Load data from tree: " << filename << endl;
exist_protection(filename);
TFile *fin = new TFile(filename);
TTree *tin = (TTree*)fin->Get("SgData_bdt");
double m1eta_t, m2eta_t, m_t, bdt_t, me_t, tau_t;
bool muid_t;
tin->SetBranchAddress("m1eta", &m1eta_t);
tin->SetBranchAddress("m2eta", &m2eta_t);
tin->SetBranchAddress("m", &m_t);
tin->SetBranchAddress("me", &me_t);
tin->SetBranchAddress("bdt", &bdt_t);
tin->SetBranchAddress("tau", &tau_t);
tin->SetBranchAddress("muid", &muid_t);
cout << ">>> parsing " << tin->GetEntries() << " entries." << endl;
for (int evt=0; evt<tin->GetEntries();evt++) {
tin->GetEntry(evt);
bool isBarrel = fabs(m1eta_t)<1.4 && fabs(m2eta_t)<1.4;
//if (isBarrel) m_t += 0.006; // shift mass to MC
//else m_t += 0.007;
if (m_t < Mass_bound[0] || m_t > Mass_bound[1] || !muid_t) continue;
if (me_t/m_t < ReducedMassRes_bound[0] || me_t/m_t > ReducedMassRes_bound[1]) continue;
if (bdt_t < -1.) continue;
int index = CatMan.index(era, isBarrel?0:1, bdt_t);
if (index<0) continue;
if (tau_t*1E12 > Tau_bound[0] && tau_t*1E12 < Tau_bound[1]) SelCat->setIndex(1); // ISSUE: no tau resolution information
else SelCat->setIndex(0);
Mass->setVal(m_t);
ReducedMassRes->setVal(me_t/m_t);
BDT->setVal(bdt_t);
Tau->setVal(tau_t*1E12);
TauRes->setVal(0.); // ISSUE: no tau resolution information
PairCat->setIndex(evt%2); // ISSUE: no seagull/cowboy information
GlobalCat->setIndex(index);
dataset->add(varlist);
}
fin->Close();
}
void LoadDataFromBMM4Tree(RooWorkspace* wspace, RooAbsData *dataset, TString filename, TString era)
{
RooRealVar *Mass = wspace->var("Mass");
RooRealVar *ReducedMassRes = wspace->var("ReducedMassRes");
RooRealVar *BDT = wspace->var("BDT");
RooRealVar *Tau = wspace->var("Tau");
RooRealVar *TauRes = wspace->var("TauRes");
RooCategory *SelCat = wspace->cat("SelCat");
RooCategory *PairCat = wspace->cat("PairCat");
RooCategory *GlobalCat = wspace->cat("GlobalCat");
RooArgSet varlist(*Mass,*ReducedMassRes,*BDT,*Tau,*TauRes,*SelCat,*PairCat,*GlobalCat);
cout << ">>> Load data from tree: " << filename << endl;
exist_protection(filename);
TFile *fin = new TFile(filename);
TTree *tin = (TTree*)fin->Get("bmmData");
double m_t, me_t, bdt_t, m1phi_t, m2phi_t, tau_t, taue_t;
int chan_t, m1q_t;
bool muid_t;
tin->SetBranchAddress("m", &m_t);
tin->SetBranchAddress("me", &me_t);
tin->SetBranchAddress("bdt", &bdt_t);
tin->SetBranchAddress("tau", &tau_t);
tin->SetBranchAddress("taue", &taue_t);
tin->SetBranchAddress("chan", &chan_t);
tin->SetBranchAddress("muid", &muid_t);
tin->SetBranchAddress("m1phi", &m1phi_t);
tin->SetBranchAddress("m2phi", &m2phi_t);
tin->SetBranchAddress("m1q", &m1q_t);
cout << ">>> parsing " << tin->GetEntries() << " entries." << endl;
for (int evt=0; evt<tin->GetEntries();evt++) {
tin->GetEntry(evt);
if (m_t < Mass_bound[0] || m_t > Mass_bound[1] || !muid_t) continue;
if (me_t/m_t < ReducedMassRes_bound[0] || me_t/m_t > ReducedMassRes_bound[1]) continue;
if (bdt_t < -1.) continue;
int index = CatMan.index(era, chan_t, bdt_t);
if (index<0) continue;
if (tau_t*1E12 > Tau_bound[0] && tau_t*1E12 < Tau_bound[1]
/*&& taue_t*1E12 > TauRes_bound[0] && taue_t*1E12 < TauRes_bound[1]*/) SelCat->setIndex(1);
else SelCat->setIndex(0);
double dPhi = m1phi_t-m2phi_t;
while (dPhi >= M_PI) dPhi -= M_PI*2;
while (dPhi < -M_PI) dPhi += M_PI*2;
bool isCowboy = (m1q_t*dPhi > 0);
Mass->setVal(m_t);
ReducedMassRes->setVal(me_t/m_t);
BDT->setVal(bdt_t);
Tau->setVal(tau_t*1E12);
TauRes->setVal(taue_t*1E12);
PairCat->setIndex(isCowboy);
GlobalCat->setIndex(index);
dataset->add(varlist);
}
fin->Close();
}
void PrepareData(RooWorkspace* wspace, RooWorkspace* wspace_base = 0)
{
cout << ">>> PrepareData() start" << endl;
if (wspace_base!=0) {
cout << ">>> import from existing workspace." << endl;
wspace->import(*wspace_base->data("global_data"));
return;
}
cout << ">>> load events from trees." << endl;
RooRealVar *Mass = wspace->var("Mass");
RooRealVar *ReducedMassRes = wspace->var("ReducedMassRes");
RooRealVar *BDT = wspace->var("BDT");
RooRealVar *Tau = wspace->var("Tau");
RooRealVar *TauRes = wspace->var("TauRes");
RooCategory *SelCat = wspace->cat("SelCat");
RooCategory *PairCat = wspace->cat("PairCat");
RooCategory *GlobalCat = wspace->cat("GlobalCat");
RooArgSet varlist(*Mass,*ReducedMassRes,*BDT,*Tau,*TauRes,*SelCat,*PairCat,*GlobalCat);
RooAbsData *global_data = new RooDataSet("global_data", "", varlist);
if (CONFIG_BMM3) {
LoadDataFromBMM3Tree(wspace, global_data, "input/2011/small-SgData-unblinded.root", "2011");
LoadDataFromBMM3Tree(wspace, global_data, "input/2012/small-SgData-unblinded.root", "2012");
}
if (CONFIG_BMM4) {
LoadDataFromBMM4Tree(wspace, global_data, "input/bmm4/small2011s01-bmmData.root", "2011s01");
LoadDataFromBMM4Tree(wspace, global_data, "input/bmm4/small2012s01-bmmData.root", "2012s01");
LoadDataFromBMM4Tree(wspace, global_data, "input/bmm4/small2016BFs01-bmmData.root", "2016BFs01");
LoadDataFromBMM4Tree(wspace, global_data, "input/bmm4/small2016GHs01-bmmData.root", "2016GHs01");
}
//LoadDataFromBMM3Tree(wspace, global_data, "input/2011/small-SgData-unblinded.root", "2011s01");
//LoadDataFromBMM3Tree(wspace, global_data, "input/2012/small-SgData-unblinded.root", "2012s01");
wspace->import(*global_data);
}
// ----------------------------------------------------
// Prepare the resolution functions for lifetime fit
// current model: double-Gaussian, with <taue> as the main scaling factor; error on <taue> has been set to 12%
// available options:
// bsmm - build B->mumu resolution model
// bupsik - build B->J/psi K+ resolution model
// --
// triple - using a triple Guassian model
// double - reduced to a double Guassian model
// --
// available target_cat (other than nominal category IDs):
// mix - using the expected yield to combine MC samples
//
void PrepareLifetimeResolutionModel(RooWorkspace *wspace, TString opt = "bsmm:triple", TString target_cat = "mix", RooWorkspace* wspace_base = 0)
{
cout << ">>> PrepareLifetimeResolutionModel() start" << endl;
TString tag, treename;
if (opt.Contains("bsmm")) {
tag = "bsmm";
treename = "bsmmMc";
}else if (opt.Contains("bupsik")) {
tag = "bupsik";
treename = "bupsikMc";
}else {
cout << ">>> Undefined option: " << opt << endl;
return;
}
tag += TString("_")+target_cat;
if (wspace_base!=0) {
cout << ">>> import from existing workspace." << endl;
RooResolutionModel *TauRes_Model = (RooResolutionModel*)wspace_base->obj(Form("TauRes_Model_%s",tag.Data()));
wspace->import(*TauRes_Model);
return;
}
RooRealVar delTau("delTau","",-0.6,+0.6);
TH1D *h_global_deltau = new TH1D("h_global_deltau","",240,-0.6,+0.6);
TH1D *h_global_taue = new TH1D("h_global_taue","",240,TauRes_bound[0],TauRes_bound[1]);
h_global_deltau->Sumw2();
h_global_taue->Sumw2();
for (auto& cat: CatMan.cats) {
if (target_cat!="mix" && cat.id!=target_cat) continue;
// obtain the expected yield
double yield = 0.;
RooRealVar *N_bu = wspace->var(Form("N_bu_%s", cat.id.Data()));
RooRealVar *effratio_bs = wspace->var(Form("effratio_bs_%s", cat.id.Data()));
if (tag.Contains("bsmm")) yield = N_bu->getVal()*effratio_bs->getVal();
if (tag.Contains("bupsik")) yield = N_bu->getVal();
TH1D *h_deltau = new TH1D("h_deltau","",240,-0.6,+0.6);
TH1D *h_taue = new TH1D("h_taue","",240,TauRes_bound[0],TauRes_bound[1]);
h_deltau->Sumw2();
h_taue->Sumw2();
// load the corresponding MC sample
TString filename = Form("input/bmm4/small%s-%s.root",cat.era.Data(),treename.Data());
TChain *events = new TChain(treename);
exist_protection(filename);
events->Add(filename);
cout << ">>> Loading from " << filename << ", with " << events->GetEntries() << " entries." << endl;
double m_t, me_t, tau_t, taue_t, gtau_t, bdt_t;
int chan_t;
bool muid_t;
events->SetBranchAddress("m", &m_t);
events->SetBranchAddress("me", &me_t);
events->SetBranchAddress("tau", &tau_t);
events->SetBranchAddress("taue", &taue_t);
events->SetBranchAddress("gtau", >au_t);
events->SetBranchAddress("bdt", &bdt_t);
events->SetBranchAddress("chan", &chan_t);
events->SetBranchAddress("muid", &muid_t);
for (int evt=0; evt<events->GetEntries();evt++) {
events->GetEntry(evt);
if (m_t < Mass_bound[0] || m_t > Mass_bound[1] || !muid_t) continue;
if (me_t/m_t < ReducedMassRes_bound[0] || me_t/m_t > ReducedMassRes_bound[1]) continue;
if (bdt_t < -1.) continue;
int index = CatMan.index(cat.era, chan_t, bdt_t);
if (index!=cat.index) continue;
if (tau_t*1E12 < Tau_bound[0] || tau_t*1E12 > Tau_bound[1]) continue;
//if (taue_t*1E12 < TauRes_bound[0] || taue_t*1E12 > TauRes_bound[1]) continue;
h_deltau->Fill((tau_t-gtau_t)*1E12);
h_taue->Fill(taue_t*1E12);
}
cout << ">>> Category ID: " << cat.id << endl;
if (target_cat=="mix") {
cout << ">>> " << h_deltau->GetEntries() << " entries filled, to be scaled to " << yield << endl;
double weight = yield/(double)h_deltau->GetEntries();
h_global_deltau->Add(h_deltau,weight);
h_global_taue->Add(h_taue,weight);
}else {
cout << ">>> " << h_deltau->GetEntries() << " entries filled/appended." << endl;
h_global_deltau->Add(h_deltau);
h_global_taue->Add(h_taue);
}
delete h_deltau;
delete h_taue;
delete events;
}
double mean_taue = h_global_taue->GetMean();
cout << ">>> Average tau_err = " << mean_taue << ", to be used in the resolution function." << endl;
RooDataHist *h_deltau_data = new RooDataHist("h_deltau_data", "", RooArgList(delTau), h_global_deltau);
RooRealVar par_taue(Form("respar_%s_taue",tag.Data()),"",mean_taue);
RooRealVar par_mean(Form("respar_%s_mean",tag.Data()),"",0.0,-0.5,0.5);
RooRealVar par_sig1(Form("respar_%s_sig1",tag.Data()),"",0.7,0.3,1.0);
RooRealVar par_sig2(Form("respar_%s_sig2",tag.Data()),"",1.2,0.7,3.5);
RooRealVar par_sig3(Form("respar_%s_sig3",tag.Data()),"",2.6,1.5,5.5);
RooRealVar par_frac1(Form("respar_%s_frac1",tag.Data()),"",0.4,0.0,0.6);
RooRealVar par_frac2(Form("respar_%s_frac2",tag.Data()),"",0.4,0.0,0.6);
RooProduct par_smean(Form("respar_%s_smean",tag.Data()),"",RooArgList(par_taue,par_mean));
RooProduct par_ssig1(Form("respar_%s_ssig1",tag.Data()),"",RooArgList(par_taue,par_sig1));
RooProduct par_ssig2(Form("respar_%s_ssig2",tag.Data()),"",RooArgList(par_taue,par_sig2));
RooProduct par_ssig3(Form("respar_%s_ssig3",tag.Data()),"",RooArgList(par_taue,par_sig3));
RooGaussian model_g1("model_g1","",delTau,par_smean,par_ssig1);
RooGaussian model_g2("model_g2","",delTau,par_smean,par_ssig2);
RooGaussian model_g3("model_g3","",delTau,par_smean,par_ssig3);
// set the taue error to 12%, which is the maximum difference between J/psi K+ data and MC in difference era
par_taue.setError(mean_taue*0.12);
RooAddPdf *model = 0;
if (opt.Contains("triple"))
model = new RooAddPdf("model","",RooArgList(model_g1,model_g2,model_g3),RooArgList(par_frac1,par_frac2));
if (opt.Contains("double")) {
par_frac1.setMax(1.0);
model = new RooAddPdf("model","",RooArgList(model_g1,model_g2),RooArgList(par_frac1));
}
RooFitResult *res = model->fitTo(*h_deltau_data, Extended(false), NumCPU(NCPU), Hesse(false), Save(true), SumW2Error(true));
if (res->status()!=0) converge_protection();
delete res;
RooPlot* frame = delTau.frame(Title(" "));
h_deltau_data->plotOn(frame);
model->plotOn(frame, LineColor(kBlue), LineWidth(3), Name("model"));
frame->SetMinimum(0.);
frame->SetMaximum(frame->GetMaximum()*1.4);
TCanvas* canvas = new TCanvas("canvas", "", 600, 600);
canvas->SetMargin(0.14,0.06,0.13,0.07);
frame->GetYaxis()->SetTitleOffset(1.48);
frame->GetYaxis()->SetTitle("Arbitary Unit");
frame->GetXaxis()->SetTitleOffset(1.15);
frame->GetXaxis()->SetLabelOffset(0.01);
frame->GetXaxis()->SetTitle("tau(rec)-tau(gen) [ps]");
frame->GetXaxis()->SetTitleSize(0.043);
frame->GetYaxis()->SetTitleSize(0.043);
frame->GetXaxis()->CenterTitle();
frame->GetYaxis()->CenterTitle();
frame->Draw();
TLatex tex;
tex.SetTextFont(42);
tex.SetTextSize(0.035);
tex.SetTextAlign(11);
tex.SetNDC();
tex.DrawLatex(0.14,0.94,"CMS simulation");
TLegend *leg1 = new TLegend(0.45,0.65,0.93,0.91);
leg1->SetFillColor(kWhite);
leg1->SetFillStyle(0);
leg1->SetLineColor(kWhite);
leg1->SetLineWidth(0);
leg1->AddEntry((TObject*)0,Form("<#sigma_{#tau}> = %.4g ps",mean_taue),"");
leg1->AddEntry((TObject*)0,Form("mean = %.4g #pm %.4g",par_mean.getVal(),par_mean.getError()),"");
leg1->AddEntry((TObject*)0,Form("sig1 = %.4g #pm %.4g",par_sig1.getVal(),par_sig1.getError()),"");
leg1->AddEntry((TObject*)0,Form("sig2 = %.4g #pm %.4g",par_sig2.getVal(),par_sig2.getError()),"");
if (opt.Contains("triple")) leg1->AddEntry((TObject*)0,Form("sig3 = %.4g #pm %.4g",par_sig3.getVal(),par_sig3.getError()),"");
leg1->AddEntry((TObject*)0,Form("frac1 = %.4g #pm %.4g",par_frac1.getVal(),par_frac1.getError()),"");
if (opt.Contains("triple")) leg1->AddEntry((TObject*)0,Form("frac2 = %.4g #pm %.4g",par_frac2.getVal(),par_frac2.getError()),"");
leg1->Draw();
canvas->Print(Form("fig/model_taures_%s.pdf",tag.Data()));
RooRealVar *Tau = wspace->var("Tau");
// fixed the parameters and import the model
par_mean.setConstant(true);
par_sig1.setConstant(true);
par_sig2.setConstant(true);
par_sig3.setConstant(true);
par_frac1.setConstant(true);
par_frac2.setConstant(true);
RooGaussModel TauRes_g1(Form("TauRes_g1_%s",tag.Data()),"",*Tau,par_smean,par_ssig1);
RooGaussModel TauRes_g2(Form("TauRes_g2_%s",tag.Data()),"",*Tau,par_smean,par_ssig2);
RooGaussModel TauRes_g3(Form("TauRes_g3_%s",tag.Data()),"",*Tau,par_smean,par_ssig3);
if (opt.Contains("triple")) {
RooAddModel TauRes_Model(Form("TauRes_Model_%s",tag.Data()),"",RooArgList(TauRes_g1,TauRes_g2,TauRes_g3),RooArgList(par_frac1,par_frac2));
wspace->import(TauRes_Model);
}
if (opt.Contains("double")) {
RooAddModel TauRes_Model(Form("TauRes_Model_%s",tag.Data()),"",RooArgList(TauRes_g1,TauRes_g2),RooArgList(par_frac1));
wspace->import(TauRes_Model);
}
// Also produce the projection for taue
h_global_taue->GetYaxis()->SetTitleOffset(1.48);
h_global_taue->GetYaxis()->SetTitle("Arbitary Unit");
h_global_taue->GetXaxis()->SetTitleOffset(1.15);
h_global_taue->GetXaxis()->SetLabelOffset(0.01);
h_global_taue->GetXaxis()->SetTitle("decay time uncertainty #sigma_{#tau} [ps]");
h_global_taue->GetXaxis()->SetTitleSize(0.043);
h_global_taue->GetYaxis()->SetTitleSize(0.043);
h_global_taue->SetFillColor(50);
h_global_taue->SetStats(false);
h_global_taue->Draw("hist");
tex.DrawLatex(0.14,0.94,"CMS simulation");
TLegend *leg2 = new TLegend(0.43,0.80,0.93,0.91);
leg2->SetFillColor(kWhite);
leg2->SetFillStyle(0);
leg2->SetLineColor(kWhite);
leg2->SetLineWidth(0);
leg2->AddEntry((TObject*)0,Form("<#sigma_{#tau}> = %.4g ps",mean_taue),"");
leg2->Draw();
canvas->Print(Form("fig/taures_%s_mc_reco.pdf",tag.Data()));
delete model;
delete h_global_taue;
delete h_global_deltau;
delete h_deltau_data;
delete leg1;
delete leg2;
delete canvas;
}
// ----------------------------------------------------
// Prepare efficiency functions used for lifetime fit
// also produce a histogram PDF for systematic study
//
// available options:
// bsmm - build B->mumu efficiency model
// bupsik - build B->J/psi K+ efficiency model
// --
// one_over_exp - default modeling by [0]+[1]*x+[2]*x*x+[3]/(1.+exp(-[4]*x))
// threshold - default modeling by threshold function
// --
// available target_cat (other than nominal category IDs):
// mix - using the expected yield to combine MC samples
//
void PrepareLifetimeEfficiencyModel(RooWorkspace *wspace, TString opt = "bsmm:threshold", TString target_cat = "mix", RooWorkspace* wspace_base = 0)
{
cout << ">>> PrepareLifetimeEfficiencyModel() start" << endl;
TString tag, treename;
if (opt.Contains("bsmm")) {
tag = "bsmm";
treename = "bsmmMc";
}else if (opt.Contains("bupsik")) {
tag = "bupsik";
treename = "bupsikMc";
}else {
cout << ">>> Undefined option: " << opt << endl;
return;
}
tag += TString("_")+target_cat;
if (wspace_base!=0) {
cout << ">>> import from existing workspace." << endl;
RooFormulaVar *TauEff_Model = (RooFormulaVar*)wspace_base->obj(Form("TauEff_Model_%s",tag.Data()));
wspace->import(*TauEff_Model);
RooFormulaVar *TauEff_Model_1overexp = (RooFormulaVar*)wspace_base->obj(Form("TauEff_Model_1overexp_%s",tag.Data()));
wspace->import(*TauEff_Model_1overexp);
RooFormulaVar *TauEff_Model_thres = (RooFormulaVar*)wspace_base->obj(Form("TauEff_Model_thres_%s",tag.Data()));
wspace->import(*TauEff_Model_thres);
RooHistPdf *TauEff_Model_Hist = (RooHistPdf*)wspace_base->obj(Form("TauEff_Model_Hist_%s",tag.Data()));
wspace->import(*TauEff_Model_Hist);
return;
}
vector<double> xbins = {
0.5,0.625,0.75,0.875,
1.,1.125,1.25,1.375,1.5,1.625,1.75,1.875,