int main(int argc, char **argv)
{
bool printSw = true;
//TString massModel = "Gauss-m[5622]";
string massModel = "DCB-m[5622]";
TString effbase = "/afs/cern.ch/user/p/pluca/work/Lb/Lmumu/results/";
bool printeff = false;
TString dodata = "data";
bool fitsingle = false;
TString wstr = "physRate_polp006";
TString decayToDo = "Lb2Lmumu";
if(dodata=="genMC") wstr += "_noDecay";
gROOT->ProcessLine(".x lhcbStyle.C");
RooRealVar * cosThetaL = new RooRealVar("cosThetaL","cosThetaL",0.,-1.,1.);
RooRealVar * cosThetaB = new RooRealVar("cosThetaB","cosThetaB",0.,-1.,1.);
RooRealVar * nsig_sw = new RooRealVar("nsig_sw","nsig_sw",1,-1.e6,1.e6);
RooRealVar * MCweight = new RooRealVar(wstr,wstr,1.,-1.e10,1.e10);
RooRealVar * MM = new RooRealVar("Lb_MassConsLambda","Lb_MassConsLambda",5620.,5500.,5900.);
TString datafilename = "/afs/cern.ch/user/p/pluca/work/Lb/Lmumu/candLb.root";
if(dodata=="MC") datafilename = "/afs/cern.ch/user/p/pluca/work/Lb/Lmumu/candLb_MC.root";
if(dodata=="genMC") datafilename = "/afs/cern.ch/work/p/pluca/weighted/Lmumu/"+(string)decayToDo+"_geomMC_Pythia8_NBweighted.root";
TreeReader * data;
if(dodata!="genMC") data = new TreeReader("cand"+decayToDo);
else data = new TreeReader("MCtree");
data->AddFile(datafilename);
TFile * histFile = new TFile("Afb_hist.root","recreate");
RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR);
int nbins = 1;//CutsDef::nq2bins;
double q2min[] = {15.,11.0,15,16,18};//&CutsDef::q2min_highfirst[0];
double q2max[] = {20.,12.5,16,18,20};//&CutsDef::q2max_highfirst[0];
//int nbins = CutsDef::nq2bins
//double *q2min = &CutsDef::q2min[0];
//double *q2max = &CutsDef::q2max[0];
TGraphErrors * Afb_vs_q2 = new TGraphErrors();
TGraphErrors * AfbB_vs_q2 = new TGraphErrors();
TGraphErrors * fL_vs_q2 = new TGraphErrors();
TCanvas * ceff = new TCanvas();
RooCategory * samples = new RooCategory("samples","samples");
samples->defineType("DD");
samples->defineType("LL");
RooRealVar * afb = new RooRealVar("afb","afb",0.,-100,100);
RooRealVar * fL = new RooRealVar("fL","fL",0.7,-1.,10.);
//RooRealVar * afb = new RooRealVar("afb","afb",0.,-1.,1.);
//RooRealVar * fL = new RooRealVar("fL","fL",0.7,0.,1.);
RooRealVar * origafb = new RooRealVar("afb","afb",0.,-1.,1.);
RooRealVar * origfL = new RooRealVar("fL","fL",0.7,-1.,10.);
TString afbLpdf = "((3./8.)*(1.-fL)*(1 + TMath::Power(cosThetaL,2)) + afb*cosThetaL + (3./4.)*fL*(1 - TMath::Power(cosThetaL,2)))";
RooRealVar * afbB = new RooRealVar("afbB","afbB",0.,-100,100);
//RooRealVar * afbB = new RooRealVar("afbB","afbB",0.,-1.,1.);
RooRealVar * origafbB = new RooRealVar("afbB","afbB",0.,-1.,1.);
TString afbBpdf = "(1 + 2*afbB*cosThetaB)";
vector< vector< double > > afb_errs, afbB_errs, fL_errs;
TList * LLlist = new TList, * DDlist = new TList;
TCanvas * cDD = new TCanvas();
TCanvas * cLL = new TCanvas();
TCanvas * cDDB = new TCanvas();
TCanvas * cLLB = new TCanvas();
for(int i = 0; i < nbins; i++)
{
//if(q2min[i] < 8) continue;
TString q2name = ((TString)Form("q2_%4.2f_%4.2f",q2min[i],q2max[i])).ReplaceAll(".","");
TString curq2cut = Form("TMath::Power(J_psi_1S_MM/1000,2) >= %e && TMath::Power(J_psi_1S_MM/1000,2) < %e",q2min[i],q2max[i]);
//TString curq2cut = Form("TMath::Power(J_psi_1S_MM/1000,2) >= %e && TMath::Power(J_psi_1S_MM/1000,2) < %e && (Lb_MassConsLambda > 5680 || Lb_MassConsLambda < 5590)",q2min[i],q2max[i]);
cout << "------------------- q2 bin: " << q2min[i] << " - " << q2max[i] << " -----------------------" << endl;
TFile * effFile = NULL;
TH1F * effDD = NULL, * effLL = NULL, * effLLB = NULL, * effDDB = NULL;
if(q2min[i] == 15 && q2max[i] == 20)
{
effFile = TFile::Open(effbase+"LbeffvscosThetaL_DD.root");
effDD = (TH1F *)effFile->Get("htoteff");
effFile = TFile::Open(effbase+"LbeffvscosThetaL_LL.root");
effLL = (TH1F *)effFile->Get("htoteff");
effFile = TFile::Open(effbase+"LbeffvscosThetaB_DD.root");
effDDB = (TH1F *)effFile->Get("htot_nodet_eff");
effFile = TFile::Open(effbase+"LbeffvscosThetaB_LL.root");
effLLB = (TH1F *)effFile->Get("htot_nodet_eff");
}
else
{
effFile = TFile::Open(effbase+"Lbeff2D_cosThetaL_vs_q2_DD.root");
TH2F * effDD2D = (TH2F *)effFile->Get("htot_eff");
effDD = (TH1F*)GetSliceX(effDD2D,(q2max[i]+q2min[i])/2.);
effFile = TFile::Open(effbase+"Lbeff2D_cosThetaL_vs_q2_LL.root");
TH2F * effLL2D = (TH2F *)effFile->Get("htot_eff");
effLL = (TH1F*)GetSliceX(effLL2D,(q2max[i]+q2min[i])/2.);
effFile = TFile::Open(effbase+"Lbeff2D_cosThetaB_vs_q2_DD.root");
TH2F * effDDB2D = (TH2F *)effFile->Get("hupper_eff");
effDDB = (TH1F*)GetSliceX(effDDB2D,(q2max[i]+q2min[i])/2.);
effFile = TFile::Open(effbase+"Lbeff2D_cosThetaB_vs_q2_LL.root");
TH2F * effLLB2D = (TH2F *)effFile->Get("hupper_eff");
effLLB = (TH1F*)GetSliceX(effLLB2D,(q2max[i]+q2min[i])/2.);
}
ceff->cd();
/** FIT EFFICIENCY **/
RooDataHist * hLL = new RooDataHist("hLL","hLL",*cosThetaL,effLL);
RooDataHist * hDD = new RooDataHist("hDD","hDD",*cosThetaL,effDD);
RooRealVar * c1LL = new RooRealVar("c1LL","",0.,-1.,1);
RooRealVar * c1DD = new RooRealVar("c1DD","",0.,-1.,1);
RooRealVar * c2LL = new RooRealVar("c2LL","",0.,-1.,1);
RooRealVar * c2DD = new RooRealVar("c2DD","",0.,-1.,1);
TString effLLstr = "(1 + c1LL*cosThetaL + c2LL*TMath::Power(cosThetaL,2))";
TString effDDstr = "(1 + c1DD*cosThetaL + c2DD*TMath::Power(cosThetaL,2))";
RooAbsPdf * effLLpdf = new RooGenericPdf("effLLpdf", "", effLLstr, RooArgSet(*cosThetaL, *c1LL, *c2LL));
RooAbsPdf * effDDpdf = new RooGenericPdf("effDDpdf", "", effDDstr, RooArgSet(*cosThetaL, *c1DD, *c2DD));
effLLpdf->fitTo(*hLL,PrintLevel(-1));
effDDpdf->fitTo(*hDD,PrintLevel(-1));
fixParams(effLLpdf,cosThetaL);
fixParams(effDDpdf,cosThetaL);
RooDataHist * hLLB = new RooDataHist("hLLB","hLLB",*cosThetaB,effLLB);
RooDataHist * hDDB = new RooDataHist("hDDB","hDDB",*cosThetaB,effDDB);
RooRealVar * cB1LL = new RooRealVar("cB1LL","",0,-1.,1);
RooRealVar * cB1DD = new RooRealVar("cB1DD","",0,-1.,1);
RooRealVar * cB2LL = new RooRealVar("cB2LL","",0,-1.,1);
RooRealVar * cB2DD = new RooRealVar("cB2DD","",0,-1.,1);
TString effLLBstr = "(1 + cB1LL*cosThetaB + cB2LL*TMath::Power(cosThetaB,2))";
TString effDDBstr = "(1 + cB1DD*cosThetaB + cB2DD*TMath::Power(cosThetaB,2))";
RooAbsPdf * effLLpdfB = new RooGenericPdf("effLLpdfB", "", effLLBstr, RooArgSet(*cosThetaB, *cB1LL, *cB2LL));
RooAbsPdf * effDDpdfB = new RooGenericPdf("effDDpdfB", "", effDDBstr, RooArgSet(*cosThetaB, *cB1DD, *cB2DD));
effLLpdfB->fitTo(*hLLB,PrintLevel(-1));
effDDpdfB->fitTo(*hDDB,PrintLevel(-1));
fixParams(effLLpdfB,cosThetaB);
fixParams(effDDpdfB,cosThetaB);
//cout << q2min[i] << " - " << q2max[i] << " LL cosThetaL -> " << c1LL->getVal() << " " << c2LL->getVal() << endl;
//cout << q2min[i] << " - " << q2max[i] << " DD cosThetaL -> " << c1DD->getVal() << " " << c2DD->getVal() << endl;
//cout << q2min[i] << " - " << q2max[i] << " LL cosThetaB -> " << cB1LL->getVal() << " " << cB2LL->getVal() << endl;
//cout << q2min[i] << " - " << q2max[i] << " DD cosThetaB -> " << cB1DD->getVal() << " " << cB2DD->getVal() << endl;
if(printeff) {
GetFrame(cosThetaL, hLL,effLLpdf,"-nochi2",0,NULL,0,"cos#theta_{l}","Tot. eff.")->Draw();
ceff->Print("DDeffFit"+q2name+".pdf");
GetFrame(cosThetaL, hDD,effDDpdf,"-nochi2",0,NULL,0,"cos#theta_{l}","Tot. eff.")->Draw();
ceff->Print("LLeffFit"+q2name+".pdf");
GetFrame(cosThetaB, hLLB,effLLpdfB,"-nochi2",0,NULL,0,"cos#theta_{#Lambda}","Tot. eff.")->Draw();
ceff->Print("DDeffFitB"+q2name+".pdf");
GetFrame(cosThetaB, hDDB,effDDpdfB,"-nochi2",0,NULL,0,"cos#theta_{#Lambda}","Tot. eff.")->Draw();
ceff->Print("LLeffFitB"+q2name+".pdf"); }
/** FIT AFB **/
afb->setVal(0);
afbB->setVal(0);
fL->setVal(0.7);
TString LLnorm = "1./( 1. + (2./3.)*afb*c1LL + (2./5.)*c2LL - (1./5.)*c2LL*fL )*"+effLLstr;
TString DDnorm = "1./( 1. + (2./3.)*afb*c1DD + (2./5.)*c2DD - (1./5.)*c2DD*fL )*"+effDDstr;
RooAbsPdf * corrPdfLL = new RooGenericPdf(Form("corrPdfLL_%i",i),LLnorm+"*"+afbLpdf,RooArgSet(*cosThetaL, *afb, *fL, *c1LL, *c2LL) );
RooAbsPdf * corrPdfDD = new RooGenericPdf(Form("corrPdfDD_%i",i),DDnorm+"*"+afbLpdf,RooArgSet(*cosThetaL, *afb, *fL, *c1DD, *c2DD) );
TString LLnormB = "1./( (2./3.)*( 2*afbB*cB1LL + cB2LL + 3.) )*"+effLLBstr;
TString DDnormB = "1./( (2./3.)*( 2*afbB*cB1DD + cB2DD + 3.) )*"+effDDBstr;
RooAbsPdf * corrPdfLLB = new RooGenericPdf(Form("corrPdfLLB_%i",i),LLnormB+"*"+afbBpdf,RooArgSet(*cosThetaB, *afbB, *cB1LL, *cB2LL) );
RooAbsPdf * corrPdfDDB = new RooGenericPdf(Form("corrPdfDDB_%i",i),DDnormB+"*"+afbBpdf,RooArgSet(*cosThetaB, *afbB, *cB1DD, *cB2DD) );
TCut cutLL = CutsDef::LLcut + (TCut)curq2cut;
TCut cutDD = CutsDef::DDcut + (TCut)curq2cut;
if(dodata=="genMC")
{
corrPdfLLB = new RooGenericPdf("corrPdfLL",afbBpdf,RooArgSet(*cosThetaB, *afbB, *cB1LL, *cB2LL) );
corrPdfDDB = new RooGenericPdf("corrPdfDD",afbBpdf,RooArgSet(*cosThetaB, *afbB, *cB1DD, *cB2DD) );
corrPdfLL = new RooGenericPdf("corrPdfLL",afbLpdf,RooArgSet(*cosThetaL, *afb, *fL, *c1LL, *c2LL) );
corrPdfDD = new RooGenericPdf("corrPdfDD",afbLpdf,RooArgSet(*cosThetaL, *afb, *fL, *c1DD, *c2DD) );
cutLL = (TCut)curq2cut;
cutDD = (TCut)curq2cut;
}
Analysis * anaLL = new Analysis(Form("LL_mass_%i",i),"Lb",data,&cutLL,MM);
anaLL->AddVariable(cosThetaL);
anaLL->AddVariable(cosThetaB);
anaLL->AddVariable("J_psi_1S_MM");
if(dodata!="data") anaLL->SetWeight(wstr);
RooDataSet * dataLL = anaLL->GetDataSet("-recalc-docuts");
Analysis * anaDD = new Analysis(Form("DD_mass_%i",i),"Lb",data,&cutDD,MM);
anaDD->AddVariable(cosThetaL);
anaDD->AddVariable(cosThetaB);
anaDD->AddVariable("J_psi_1S_MM");
if(dodata!="data") anaDD->SetWeight(wstr);
RooDataSet * dataDD = anaDD->GetDataSet("-recalc-docuts");
RooDataSet * sdataDD, * sdataLL;
if(dodata=="data")
{
sdataLL = anaLL->CalcSweight("",massModel.c_str(),"Exp");
if(printSw) {
GetFrame(MM,NULL,sdataLL,"-nochi2",30,NULL,0,"M(#Lambda#mu#mu) (MeV/c^{2})")->Draw();
ceff->Print("Mass_LL_sWeighted"+q2name+".pdf");
GetFrame(cosThetaL,NULL,sdataLL,"-nochi2",6,NULL,0,"cos#theta_{l}")->Draw();
ceff->Print("cosThetaL_LL_sWeighted"+q2name+".pdf");
GetFrame(cosThetaL,NULL,dataLL,"-nochi2",6,NULL,0,"cos#theta_{l}")->Draw();
ceff->Print("cosThetaL_LL_"+q2name+".pdf");
}
sdataDD = anaDD->CalcSweight("",massModel.c_str(),"Exp");
if(printSw) {
GetFrame(MM,NULL,sdataDD,"-nochi2",30,NULL,0,"M(#Lambda#mu#mu) (MeV/c^{2})")->Draw();
ceff->Print("Mass_DD_sWeighted"+q2name+".pdf");
GetFrame(cosThetaL,NULL,sdataDD,"-nochi2",10,NULL,0,"cos#theta_{l}")->Draw();
ceff->Print("cosThetaL_DD_sWeighted"+q2name+".pdf");
GetFrame(cosThetaL,NULL,dataDD,"-nochi2",10,NULL,0,"cos#theta_{l}")->Draw();
ceff->Print("cosThetaL_DD_"+q2name+".pdf");
}
}
else { sdataLL = dataLL; sdataDD = dataDD; }
histFile->cd();
TTree * LLTree = (TTree*)sdataLL->tree();
LLTree->SetName(Form("treeLL_%i",i));
LLlist->Add(LLTree);
TTree * DDTree = (TTree*)sdataDD->tree();
DDTree->SetName(Form("treeDD_%i",i));
DDlist->Add(DDTree);
// CREATE COMBINED DATASET
RooDataSet * combData;
if(dodata=="data") combData = new RooDataSet(Form("combData_%i",i),"combined data",RooArgSet(*cosThetaL,*cosThetaB,*nsig_sw),Index(*samples),Import("DD",*sdataDD),Import("LL",*sdataLL),WeightVar("nsig_sw"));
else combData = new RooDataSet(Form("combData_%i",i),"combined data",RooArgSet(*cosThetaL,*cosThetaB,*MCweight),Index(*samples),Import("DD",*sdataDD),Import("LL",*sdataLL),WeightVar(wstr));
// FIT COS LEPTON
RooSimultaneous * combModel = new RooSimultaneous(Form("combModel_%i",i),"",*samples);
combModel->addPdf(*corrPdfLL,"LL");
combModel->addPdf(*corrPdfDD,"DD");
combModel->fitTo(*combData,PrintLevel(-1),Verbose(kFALSE),SumW2Error(kTRUE));
if(fitsingle) corrPdfLL->fitTo(*sdataLL,PrintLevel(-1),Verbose(kFALSE),SumW2Error(kTRUE));
GetFrame(cosThetaL,corrPdfLL,sdataLL,"-sumW2err-nochi2-noCost",6,NULL,0,"cos#theta_{l}")->Draw();
ceff->Print("Afb_LL_"+q2name+".pdf");
if(fitsingle) corrPdfDD->fitTo(*sdataDD,PrintLevel(-1),Verbose(kFALSE),SumW2Error(kTRUE));
GetFrame(cosThetaL,corrPdfDD,sdataDD,"-sumW2err-nochi2-noCost",10,NULL,0,"cos#theta_{l}")->Draw();
ceff->Print("Afb_DD_"+q2name+".pdf");
Afb_vs_q2->SetPoint(i,(q2max[i] + q2min[i])/2.,afb->getVal());
Afb_vs_q2->SetPointError(i,(q2max[i] - q2min[i])/2.,afb->getError());
fL_vs_q2->SetPoint(i,(q2max[i] + q2min[i])/2.,fL->getVal());
fL_vs_q2->SetPointError(i,(q2max[i] - q2min[i])/2.,fL->getError());
// FIT COS HADRON
RooSimultaneous * combModelB = new RooSimultaneous(Form("combModelB_%i",i),"",*samples);
combModelB->addPdf(*corrPdfLLB,"LL");
combModelB->addPdf(*corrPdfDDB,"DD");
combModelB->fitTo(*combData,PrintLevel(-1),Verbose(kFALSE),SumW2Error(kTRUE));
if(fitsingle) corrPdfLLB->fitTo(*sdataLL,PrintLevel(-1),Verbose(kFALSE),SumW2Error(kTRUE));
GetFrame(cosThetaB,corrPdfLLB,sdataLL,"-sumW2err-nochi2-noCost",6,NULL,0,"cos#theta_{#Lambda}")->Draw();
ceff->Print("AfbB_LL_"+q2name+".pdf");
if(fitsingle) corrPdfDDB->fitTo(*sdataDD,PrintLevel(-1),Verbose(kFALSE),SumW2Error(kTRUE));
GetFrame(cosThetaB,corrPdfDDB,sdataDD,"-sumW2err-nochi2-noCost",10,NULL,0,"cos#theta_{#Lambda}")->Draw();
ceff->Print("AfbB_DD_"+q2name+".pdf");
AfbB_vs_q2->SetPoint(i,(q2max[i] + q2min[i])/2.,afbB->getVal());
AfbB_vs_q2->SetPointError(i,(q2max[i] - q2min[i])/2.,afbB->getError());
cout << endl << fixed << setprecision(6) << "AfbB = " << afbB->getVal() << " +/- " << afbB->getError() << endl;
cout << "Afb = " << afb->getVal() << " +/- " << afb->getError() << endl;
cout << "fL = " << fL->getVal() << " +/- " << fL->getError() << endl;
cout << endl;
cout << "------------------------ FELDMAN AND COUSINS ------------------------" << endl;
vector < RooDataSet * > datas;
vector < RooAbsPdf * > pdfs, pdfsB;
vector < TString > cat;
cat.push_back("LL");
cat.push_back("DD");
datas.push_back(sdataLL);
datas.push_back(sdataDD);
RooArgSet * origPars = new RooArgSet();
origPars->add(*origafb);
origPars->add(*origfL);
pdfs.push_back(corrPdfLL);
pdfs.push_back(corrPdfDD);
vector< double > afb_err, afbB_err, fL_err;
/*
double fLval = fL->getVal(), fLerr = fL->getError();
FeldmanCousins * FC = new FeldmanCousins(q2name,cat,datas,pdfs,cosThetaL,afb,"nsig_sw");
//FC->SetNPointsToScan(20);
//FC->SetNExp(1000);
if(q2min[i]==18) afb_err = FC->ExtractLimits(origPars,-0.3,0.3);
else if( (afb->getVal()-1.4*afb->getError()) > -1 && (afb->getVal()+1.4*afb->getError()) < 1 )
afb_err = FC->ExtractLimits(origPars,afb->getVal()-1.4*afb->getError(),afb->getVal()+1.4*afb->getError());
else afb_err = FC->ExtractLimits(origPars,-0.4,0.4);
//FeldmanCousins * FCfL = new FeldmanCousins(q2name,cat,datas,pdfs,cosThetaL,fL,"nsig_sw");
//if(q2min[i]==11) fL_err = FCfL->ExtractLimits(origPars,0.,0.6);
//else if (q2min[i]==18) fL_err = FCfL->ExtractLimits(origPars,0.75,0.992);
//( (fLval-1.3*fLerr) > 0 && (fLval+1.3*fLerr) <= 1 )
//else fL_err = FCfL->ExtractLimits(origPars,fLval-1.3*fLerr,fLval+1.3*fLerr);
afb_errs.push_back(afb_err);
//fL_errs.push_back(fL_err);
RooArgSet * origParsB = new RooArgSet();
origParsB->add(*origafbB);
pdfsB.push_back(corrPdfLLB);
pdfsB.push_back(corrPdfDDB);
FeldmanCousins * FCB = new FeldmanCousins(q2name,cat,datas,pdfsB,cosThetaB,afbB,"nsig_sw");
if( (afbB->getVal()-1.5*afbB->getError()) > -1 && (afbB->getVal()+1.5*afbB->getError()) < 1 )
afbB_err = FCB->ExtractLimits(origParsB,afbB->getVal()-1.5*afbB->getError(),afbB->getVal()+1.5*afbB->getError());
else afbB_err = FCB->ExtractLimits(origParsB,-0.4,0.4);
afbB_errs.push_back(afbB_err);
*/
delete effDD;
delete effLL;
delete effLLB;
delete effDDB;
}
cDD->Print("DDeff.pdf");
cLL->Print("LLeff.pdf");
cDDB->Print("DDBeff.pdf");
cLLB->Print("LLBeff.pdf");
Afb_vs_q2->GetXaxis()->SetTitle("q^{2}");
Afb_vs_q2->GetYaxis()->SetTitle("Afb");
Afb_vs_q2->SetMaximum(1);
Afb_vs_q2->SetMinimum(-1);
Afb_vs_q2->Draw("AP");
ceff->Print("Afb_vs_q2.pdf");
AfbB_vs_q2->GetXaxis()->SetTitle("q^{2}");
AfbB_vs_q2->GetYaxis()->SetTitle("AfbB");
AfbB_vs_q2->SetMaximum(1);
AfbB_vs_q2->SetMinimum(-1);
AfbB_vs_q2->Draw("AP");
ceff->Print("AfbB_vs_q2.pdf");
fL_vs_q2->GetXaxis()->SetTitle("q^{2}");
fL_vs_q2->GetYaxis()->SetTitle("fL");
fL_vs_q2->Draw("AP");
ceff->Print("fL_vs_q2.pdf");
for(int bb = 0; bb < Afb_vs_q2->GetN(); bb++)
{
double qq, qqerr, afbv, afbBv, fLv;
Afb_vs_q2->GetPoint(bb,qq,afbv);
qqerr = Afb_vs_q2->GetErrorX(bb);
AfbB_vs_q2->GetPoint(bb,qq,afbBv);
fL_vs_q2->GetPoint(bb,qq,fLv);
cout << fixed << setprecision(1) << qq-qqerr << " - " << qq+qqerr;
cout << fixed << setprecision(4);
//cout << " & $" << afbv << "_{-" << TMath::Abs(afb_errs[bb][0] - afbv) << "}^{+" << TMath::Abs(afb_errs[bb][1] - afbv) << "} \\text{(stat)} \\pm \\text{(sys)}$ ";
//cout << " & $" << afbBv << "_{-" << TMath::Abs(afbB_errs[bb][0] - afbBv) << "}^{+" << TMath::Abs(afbB_errs[bb][1]-afbBv) << "} \\text{(stat)} \\pm \\text{(sys)}$ " ;
//cout << " & $" << fLv << "_{-" << TMath::Abs(fL_errs[bb][0] - fLv) << "}^{+" << TMath::Abs(fL_errs[bb][1] - fLv) << "} \\text{(stat)} \\pm \\text{(sys)}$ ";
cout << " \\\\ " << endl;
}
histFile->cd();
TTree * finalLLtree = (TTree*)TTree::MergeTrees(LLlist);
TTree * finalDDtree = (TTree*)TTree::MergeTrees(DDlist);
finalLLtree->SetName("LL_data");
finalDDtree->SetName("DD_data");
finalLLtree->Write();
finalDDtree->Write();
delete ceff;
histFile->Write();
delete histFile;
}
RooSimultaneous *SignalPDFs(TString url="EventSummaries.root",TString chSelector="")
{
gStyle->SetOptStat(0);
TCanvas *c = new TCanvas("signalpdfs","Signal PDFs");
//the mass points
typedef std::pair<TString,Float_t> MassPoint_t;
std::vector<MassPoint_t> MassPointCollection;
MassPointCollection.push_back( MassPoint_t("TTJets_mass_161v5",161.5) );
MassPointCollection.push_back( MassPoint_t("TTJets_mass_163v5",163.5) );
// MassPointCollection.push_back( MassPoint_t("TTJets_mass_166v5",166.5) );
MassPointCollection.push_back( MassPoint_t("TTJets_mass_169v5",169.5) );
MassPointCollection.push_back( MassPoint_t("TTJets", 172.5) );
MassPointCollection.push_back( MassPoint_t("TTJets_mass_175v5",175.5) );
MassPointCollection.push_back( MassPoint_t("TTJets_mass_178v5",178.5) );
MassPointCollection.push_back( MassPoint_t("TTJets_mass181v5", 181.5) );
MassPointCollection.push_back( MassPoint_t("TTJets_mass184v5", 184.5) );
std::map<std::string,TH1*> hmap;
//get pdfs from file
RooCategory sample("signal","") ;
TFile *f = TFile::Open(url);
for(size_t ipt=0; ipt<MassPointCollection.size(); ipt++)
{
TString sName("m"); sName += (ipt+1);
TString tname=MassPointCollection[ipt].first + "/data";
TTree *t = (TTree *) f->Get(tname);
if(t==0) continue;
t->Draw("evmeasurements[0]>>hmass(80,100,500)","evmeasurements[0]>0" + chSelector);
TH1D *h = (TH1D*) gDirectory->Get("hmass");
if(h==0) continue;
h = (TH1D *) h->Clone(sName);
h->SetDirectory(0);
h->GetYaxis()->SetTitle("Events / (5 GeV/c^{2})");
h->GetXaxis()->SetTitle("Mass [GeV/c^{2}]");
h->GetXaxis()->SetTitleOffset(0.8);
h->GetYaxis()->SetTitleOffset(0.8);
char titbuf[20];
sprintf(titbuf,"m=%3.1lf",MassPointCollection[ipt].second);
h->SetTitle(titbuf);
sample.defineType(TString(sName));
hmap[sName.Data()] = h;
}
f->Close();
delete c;
// divide the binned data in categories according to the generated top quark mass
RooRealVar mass("m","Mass", 100, 500);
RooDataHist combData("combData", "combined data",mass, sample, hmap );
//the parameters to fit and the variable
RooRealVar g_mean_slope("#mu_{G}(slope)","g_mean_slope",0.01,0.,1.);
RooRealVar g_mean_shift("#mu_{G}(intercept)","g_mean_shift",162,100,180);
RooRealVar g_sigma_slope("#sigma_{G}(slope)","g_sigma_slope",0.01,0.,1.);
RooRealVar g_sigma_shift("#sigma_{G}(intercept)","g_sigma_shift",10,0.,25);
RooRealVar l_mean_slope("mpv_{L}(slope)","l_mean_slope",0.,0.,1.);//1,0,10);
RooRealVar l_mean_shift("mpv_{L}(intercept)","l_mean_shift",212,150,250);
RooRealVar l_sigma_slope("#sigma_{L}(slope)","l_sigma_slope",0.,0.,1.);//1,0,10);
RooRealVar l_sigma_shift("#sigma_{L}(intercept)","l_sigma_shift",10,0,25);
RooRealVar massfrac_slope("#alpha(slope)","massfrac_slope",0,0,0.01);
RooRealVar massfrac_shift("#alpha(intercept)","massfrac_shift",0.38,0.,1.);
//build the prototype pdf
RooRealVar topmass( "mtop","mtop",100,300);
RooFormulaVar g_mean( "g_mean", "(@0-172)*@1+@2", RooArgSet(topmass,g_mean_slope,g_mean_shift));
RooFormulaVar g_sigma( "g_sigma", "(@0-172)*@1+@2", RooArgSet(topmass,g_sigma_slope,g_sigma_shift));
RooGaussian gaus("gaus", "Mass component 1", mass, g_mean, g_sigma);
RooFormulaVar l_mean( "l_mean", "(@0-172)*@1+@2", RooArgSet(topmass,l_mean_slope,l_mean_shift));
RooFormulaVar l_sigma( "l_sigma", "(@0-172)*@1+@2", RooArgSet(topmass,l_sigma_slope,l_sigma_shift));
RooLandau lan("lan", "Mass component 2", mass, l_mean, l_sigma);
RooFormulaVar massfrac( "#alpha", "(@0-172)*@1+@2", RooArgSet(topmass,massfrac_slope,massfrac_shift));
RooAddPdf massmodel("model","Model",RooArgList(lan,gaus),massfrac);
//RooNumConvPdf massmodel("model","Model",topmass,lan,gaus);
//now split per categories
RooSimPdfBuilder builder(massmodel) ;
RooArgSet* config = builder.createProtoBuildConfig() ;
config->setStringValue("physModels","model"); // Name of the PDF we are going to work with
config->setStringValue("splitCats","signal"); // Category used to differentiate sub-datasets
config->setStringValue("model","signal : mtop"); // Prescription to taylor PDF parameters mtop for each subset in signal
RooSimultaneous* simPdf = builder.buildPdf(*config,&combData) ;
config = simPdf->getParameters(combData);
for(size_t ipt=0; ipt<MassPointCollection.size(); ipt++)
{
TString sName("m"); sName+=(ipt+1);
Float_t imass=MassPointCollection[ipt].second;
(((RooRealVar &)(*config)["mtop_"+sName])).setRange(imass,imass);
(((RooRealVar &)(*config)["mtop_"+sName])).setVal(imass);
}
//fit to data
simPdf->fitTo(combData,Range(100.,400.));
//display
for(size_t ipt=0; ipt<MassPointCollection.size(); ipt++)
{
if(ipt%5==0)
{
TString name("SignalPDFs_"); name+=ipt;
c = new TCanvas(name,name);
c->SetBorderSize(0);
c->SetFillStyle(0);
c->SetFillColor(0);
c->SetWindowSize(1750,350);
c->Clear();
c->Divide(5,1);
}
TPad *p = (TPad *)c->cd(ipt%5+1);
p->SetGridx();
p->SetGridy();
TString procName("m"); procName += (ipt+1);
char buf[100];
sprintf(buf,"m_{t}=%3.1lf GeV/c^{2}",MassPointCollection[ipt].second);
RooPlot* frame = mass.frame(Title(buf));
RooDataSet* dataslice = (RooDataSet *)combData.reduce("signal==signal::"+procName);
dataslice->plotOn(frame,DataError(RooAbsData::SumW2));
RooCategory newCat(procName,procName);
simPdf->plotOn(frame,Slice(newCat),ProjWData(mass,*dataslice));
frame->GetYaxis()->SetTitleOffset(1.0);
frame->GetYaxis()->SetTitle("Events");
frame->GetXaxis()->SetTitleOffset(0.8);
frame->GetXaxis()->SetTitle("Reconstructed Mass [GeV/c^{2}]");
frame->Draw();
TPaveText *pt = new TPaveText(0.75,0.85,0.97,0.95,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetFillStyle(0);
char buf2[50];
sprintf(buf2,"%3.1lf GeV/c^{2}",MassPointCollection[ipt].second);
pt->AddText(buf2);
pt->Draw();
}
return simPdf;
}
void ZeeGammaMassFitSystematicStudy(string workspaceFile, const Int_t seed = 1234,
Int_t Option = 0, Int_t NToys = 1) {
//--------------------------------------------------------------------------------------------------------------
// Settings
//==============================================================================================================
TRandom3 *randomnumber = new TRandom3(seed);
// RooRealVar m("m","mass",60,130);
RooCategory sample("sample","");
sample.defineType("Pass",1);
sample.defineType("Fail",2);
//--------------------------------------------------------------------------------------------------------------
//Load Workspace
//==============================================================================================================
TFile *f = new TFile (workspaceFile.c_str(), "READ");
RooWorkspace *w = (RooWorkspace*)f->Get("MassFitWorkspace");
//--------------------------------------------------------------------------------------------------------------
//Setup output tree
//==============================================================================================================
TFile *outputfile = new TFile (Form("EffToyResults_Option%d_Seed%d.root",Option, seed), "RECREATE");
float varEff = 0;
float varEffErrL = 0;
float varEffErrH = 0;
TTree *outTree = new TTree("eff","eff");
outTree->Branch("eff",&varEff, "eff/F");
outTree->Branch("efferrl",&varEffErrL, "efferrl/F");
outTree->Branch("efferrh",&varEffErrH, "efferrh/F");
//--------------------------------------------------------------------------------------------------------------
//Load Model
//==============================================================================================================
RooSimultaneous *totalPdf = (RooSimultaneous*)w->pdf("totalPdf");
RooRealVar *m_default = (RooRealVar*)w->var("m");
m_default->setRange("signalRange",85, 95);
//get default models
RooAddPdf *modelPass_default = (RooAddPdf*)w->pdf("modelPass");
RooAddPdf *modelFail_default = (RooAddPdf*)w->pdf("modelFail");
//get variables
RooRealVar *Nsig = (RooRealVar*)w->var("Nsig");
RooRealVar *eff = (RooRealVar*)w->var("eff");
RooRealVar *NbkgFail = (RooRealVar*)w->var("NbkgFail");
RooFormulaVar NsigPass("NsigPass","eff*Nsig",RooArgList(*eff,*Nsig));
RooFormulaVar NsigFail("NsigFail","(1.0-eff)*Nsig",RooArgList(*eff,*Nsig));
//get number of expected events
Double_t npass = 100;
Double_t nfail = 169;
//*************************************************************************************
//make alternative model
//*************************************************************************************
RooRealVar *tFail_default = (RooRealVar*)w->var("tFail");
RooRealVar *fracFail_default = (RooRealVar*)w->var("fracFail");
RooRealVar *meanFail_default = (RooRealVar*)w->var("meanFail");
RooRealVar *sigmaFail_default = (RooRealVar*)w->var("sigmaFail");
RooHistPdf *bkgFailTemplate_default = (RooHistPdf*)w->pdf("bkgHistPdfFail");
RooFFTConvPdf *sigFail_default = (RooFFTConvPdf*)w->pdf("signalFail");
RooFFTConvPdf *bkgFail_default = (RooFFTConvPdf*)w->pdf("bkgConvPdfFail");
RooExtendPdf *esignalFail_default = (RooExtendPdf *)w->pdf("esignalFail");
RooExtendPdf *ebackgroundFail_default = (RooExtendPdf *)w->pdf("ebackgroundFail");
RooExponential *bkgexpFail_default = (RooExponential*)w->pdf("bkgexpFail");
RooAddPdf *backgroundFail_default = (RooAddPdf*)w->pdf("backgroundFail");
RooGaussian *bkggausFail_default = (RooGaussian*)w->pdf("bkggausFail");
//shifted mean
RooRealVar *meanFail_shifted = new RooRealVar("meanFail_shifted","meanFail_shifted", 0, -5, 5);
meanFail_shifted->setVal(meanFail_default->getVal());
if (Option == 1) meanFail_shifted->setVal(meanFail_default->getVal()-1.0);
else if (Option == 2) meanFail_shifted->setVal(meanFail_default->getVal()+1.0);
else if (Option == 11) meanFail_shifted->setVal(meanFail_default->getVal()-2.0);
else if (Option == 12) meanFail_shifted->setVal(meanFail_default->getVal()+2.0);
RooRealVar *sigmaFail_shifted = new RooRealVar("sigmaFail_shifted","sigmaFail_shifted", 0, -5, 5);
sigmaFail_shifted->setVal(sigmaFail_default->getVal());
if (Option == 3) sigmaFail_shifted->setVal(sigmaFail_default->getVal()*1.2);
else if (Option == 4) sigmaFail_shifted->setVal(sigmaFail_default->getVal()*0.8);
CMCBkgTemplateConvGaussianPlusExp *bkgFailModel = new CMCBkgTemplateConvGaussianPlusExp(*m_default,bkgFailTemplate_default,false,meanFail_shifted,sigmaFail_shifted, "shifted");
bkgFailModel->t->setVal(tFail_default->getVal());
bkgFailModel->frac->setVal(fracFail_default->getVal());
cout << "mean : " << meanFail_default->getVal() << " - " << meanFail_shifted->getVal() << endl;
cout << "sigma : " << sigmaFail_default->getVal() << " - " << sigmaFail_shifted->getVal() << endl;
cout << "t: " << tFail_default->getVal() << " - " << bkgFailModel->t->getVal() << endl;
cout << "frac: " << fracFail_default->getVal() << " - " << bkgFailModel->frac->getVal() << endl;
cout << "eff: " << eff->getVal() << " : " << NsigPass.getVal() << " / " << (NsigPass.getVal() + NsigFail.getVal()) << endl;
cout << "NbkgFail: " << NbkgFail->getVal() << endl;
//make alternative fail model
RooAddPdf *modelFail=0;
RooExtendPdf *esignalFail=0, *ebackgroundFail=0;
ebackgroundFail = new RooExtendPdf("ebackgroundFail_shifted","ebackgroundFail_shifted",*(bkgFailModel->model),*NbkgFail,"signalRange");
modelFail = new RooAddPdf("modelFail","Model for FAIL sample", RooArgList(*esignalFail_default,*ebackgroundFail));
cout << "*************************************\n";
ebackgroundFail->Print();
cout << "*************************************\n";
ebackgroundFail_default->Print();
cout << "*************************************\n";
modelFail->Print();
cout << "*************************************\n";
modelFail_default->Print();
cout << "*************************************\n";
TCanvas *cv = new TCanvas("cv","cv",800,600);
RooPlot *mframeFail_default = m_default->frame(Bins(Int_t(130-60)/2));
modelFail_default->plotOn(mframeFail_default);
modelFail_default->plotOn(mframeFail_default,Components("ebackgroundFail"),LineStyle(kDashed),LineColor(kRed));
modelFail_default->plotOn(mframeFail_default,Components("bkgexpFail"),LineStyle(kDashed),LineColor(kGreen+2));
mframeFail_default->GetYaxis()->SetTitle("");
mframeFail_default->GetYaxis()->SetTitleOffset(1.2);
mframeFail_default->GetXaxis()->SetTitle("m_{ee#gamma} [GeV/c^{2}]");
mframeFail_default->GetXaxis()->SetTitleOffset(1.05);
mframeFail_default->SetTitle("");
mframeFail_default->Draw();
cv->SaveAs("DefaultModel.gif");
RooPlot *mframeFail = m_default->frame(Bins(Int_t(130-60)/2));
modelFail->plotOn(mframeFail);
modelFail->plotOn(mframeFail,Components("ebackgroundFail_shifted"),LineStyle(kDashed),LineColor(kRed));
modelFail->plotOn(mframeFail,Components("bkgexpFail_shifted"),LineStyle(kDashed),LineColor(kGreen+2));
mframeFail->GetYaxis()->SetTitle("");
mframeFail->GetYaxis()->SetTitleOffset(1.2);
mframeFail->GetXaxis()->SetTitle("m_{ee#gamma} [GeV/c^{2}]");
mframeFail->GetXaxis()->SetTitleOffset(1.05);
mframeFail->SetTitle("");
mframeFail->Draw();
cv->SaveAs(Form("ShiftedModel_%d.gif",Option));
//*************************************************************************************
//Do Toys
//*************************************************************************************
for(uint t=0; t < NToys; ++t) {
RooDataSet *pseudoData_pass = modelPass_default->generate(*m_default, randomnumber->Poisson(npass));
RooDataSet *pseudoData_fail = 0;
pseudoData_fail = modelFail->generate(*m_default, randomnumber->Poisson(nfail));
RooDataSet *pseudoDataCombined = new RooDataSet("pseudoDataCombined","pseudoDataCombined",RooArgList(*m_default),
RooFit::Index(sample),
RooFit::Import("Pass",*pseudoData_pass),
RooFit::Import("Fail",*pseudoData_fail));
pseudoDataCombined->write(Form("toy%d.txt",t));
RooFitResult *fitResult=0;
fitResult = totalPdf->fitTo(*pseudoDataCombined,
RooFit::Extended(),
RooFit::Strategy(2),
//RooFit::Minos(RooArgSet(eff)),
RooFit::Save());
cout << "\n\n";
cout << "Eff Fit: " << eff->getVal() << " -" << fabs(eff->getErrorLo()) << " +" << eff->getErrorHi() << endl;
//Fill Tree
varEff = eff->getVal();
varEffErrL = fabs(eff->getErrorLo());
varEffErrH = eff->getErrorHi();
outTree->Fill();
// //*************************************************************************************
// //Plot Toys
// //*************************************************************************************
// TCanvas *cv = new TCanvas("cv","cv",800,600);
// char pname[50];
// char binlabelx[100];
// char binlabely[100];
// char yield[50];
// char effstr[100];
// char nsigstr[100];
// char nbkgstr[100];
// char chi2str[100];
// //
// // Plot passing probes
// //
// RooPlot *mframeFail_default = m.frame(Bins(Int_t(130-60)/2));
// modelFail_default->plotOn(mframeFail_default);
// modelFail_default->plotOn(mframeFail_default,Components("ebackgroundFail"),LineStyle(kDashed),LineColor(kRed));
// modelFail_default->plotOn(mframeFail_default,Components("bkgexpFail"),LineStyle(kDashed),LineColor(kGreen+2));
// mframeFail_default->Draw();
// cv->SaveAs("DefaultModel.gif");
// RooPlot *mframeFail = m.frame(Bins(Int_t(130-60)/2));
// modelFail->plotOn(mframeFail);
// modelFail->plotOn(mframeFail,Components("ebackgroundFail_shifted"),LineStyle(kDashed),LineColor(kRed));
// modelFail->plotOn(mframeFail,Components("bkgexpFail_shifted"),LineStyle(kDashed),LineColor(kGreen+2));
// sprintf(yield,"%u Events",(Int_t)passTree->GetEntries());
// sprintf(nsigstr,"N_{sig} = %.1f #pm %.1f",NsigPass.getVal(),NsigPass.getPropagatedError(*fitResult));
// plotPass.AddTextBox(yield,0.21,0.76,0.51,0.80,0,kBlack,-1);
// plotPass.AddTextBox(effstr,0.70,0.85,0.94,0.90,0,kBlack,-1);
// plotPass.AddTextBox(0.70,0.73,0.94,0.83,0,kBlack,-1,1,nsigstr);//,chi2str);
// mframeFail->Draw();
// cv->SaveAs(Form("ShiftedModel_%d.gif",Option));
// //
// // Plot failing probes
// //
// sprintf(pname,"fail%s_%i",name.Data(),ibin);
// sprintf(yield,"%u Events",(Int_t)failTree->GetEntries());
// sprintf(nsigstr,"N_{sig} = %.1f #pm %.1f",NsigFail.getVal(),NsigFail.getPropagatedError(*fitResult));
// sprintf(nbkgstr,"N_{bkg} = %.1f #pm %.1f",NbkgFail.getVal(),NbkgFail.getPropagatedError(*fitResult));
// sprintf(chi2str,"#chi^{2}/DOF = %.3f",mframePass->chiSquare(nflfail));
// CPlot plotFail(pname,mframeFail,"Failing probes","tag-probe mass [GeV/c^{2}]","Events / 2.0 GeV/c^{2}");
// plotFail.AddTextBox(binlabelx,0.21,0.85,0.51,0.90,0,kBlack,-1);
// if((name.CompareTo("etapt")==0) || (name.CompareTo("etaphi")==0)) {
// plotFail.AddTextBox(binlabely,0.21,0.80,0.51,0.85,0,kBlack,-1);
// plotFail.AddTextBox(yield,0.21,0.76,0.51,0.80,0,kBlack,-1);
// } else {
// plotFail.AddTextBox(yield,0.21,0.81,0.51,0.85,0,kBlack,-1);
// }
// plotFail.AddTextBox(effstr,0.70,0.85,0.94,0.90,0,kBlack,-1);
// plotFail.AddTextBox(0.70,0.68,0.94,0.83,0,kBlack,-1,2,nsigstr,nbkgstr);//,chi2str);
// plotFail.Draw(cfail,kTRUE,format);
} //for loop over all toys
//*************************************************************************************
//Save To File
//*************************************************************************************
outputfile->WriteTObject(outTree, outTree->GetName(), "WriteDelete");
}
bool fitCharmoniaMassModel( RooWorkspace& myws, // Local Workspace
const RooWorkspace& inputWorkspace, // Workspace with all the input RooDatasets
struct KinCuts& cut, // Variable containing all kinematic cuts
map<string, string>& parIni, // Variable containing all initial parameters
struct InputOpt& opt, // Variable with run information (kept for legacy purpose)
string outputDir, // Path to output directory
// Select the type of datasets to fit
string DSTAG, // Specifies the type of datasets: i.e, DATA, MCJPSINP, ...
bool isPbPb = false, // isPbPb = false for pp, true for PbPb
bool importDS = true, // Select if the dataset is imported in the local workspace
// Select the type of object to fit
bool incJpsi = true, // Includes Jpsi model
bool incPsi2S = true, // Includes Psi(2S) model
bool incBkg = true, // Includes Background model
// Select the fitting options
bool doFit = true, // Flag to indicate if we want to perform the fit
bool cutCtau = false, // Apply prompt ctau cuts
bool doConstrFit = false, // Do constrained fit
bool doSimulFit = false, // Do simultaneous fit
bool wantPureSMC = false, // Flag to indicate if we want to fit pure signal MC
const char* applyCorr ="", // Flag to indicate if we want corrected dataset and which correction
uint loadFitResult = false, // Load previous fit results
string inputFitDir = "", // Location of the fit results
int numCores = 2, // Number of cores used for fitting
// Select the drawing options
bool setLogScale = true, // Draw plot with log scale
bool incSS = false, // Include Same Sign data
bool zoomPsi = false, // Zoom Psi(2S) peak on extra pad
double binWidth = 0.05, // Bin width used for plotting
bool getMeanPT = false // Compute the mean PT (NEED TO FIX)
)
{
if (DSTAG.find("_")!=std::string::npos) DSTAG.erase(DSTAG.find("_"));
// Check if input dataset is MC
bool isMC = false;
if (DSTAG.find("MC")!=std::string::npos) {
if (incJpsi && incPsi2S) {
cout << "[ERROR] We can only fit one type of signal using MC" << endl; return false;
}
isMC = true;
}
wantPureSMC = (isMC && wantPureSMC);
bool cutSideBand = (incBkg && (!incPsi2S && !incJpsi));
bool applyWeight_Corr = ( strcmp(applyCorr,"") );
// Define the mass range
setMassCutParameters(cut, incJpsi, incPsi2S, isMC);
parIni["invMassNorm"] = Form("RooFormulaVar::%s('( -1.0 + 2.0*( @0 - @1 )/( @2 - @1) )', {%s, mMin[%.6f], mMax[%.6f]})", "invMassNorm", "invMass", cut.dMuon.M.Min, cut.dMuon.M.Max );
// Apply the ctau cuts to reject non-prompt charmonia
if (cutCtau) { setCtauCuts(cut, isPbPb); }
string COLL = (isPbPb ? "PbPb" : "PP" );
string plotLabelPbPb, plotLabelPP;
if (doSimulFit || !isPbPb) {
// Set models based on initial parameters
struct OniaModel model;
if (!setMassModel(model, parIni, false, incJpsi, incPsi2S, incBkg)) { return false; }
// Import the local datasets
double numEntries = 1000000;
string label = ((DSTAG.find("PP")!=std::string::npos) ? DSTAG.c_str() : Form("%s_%s", DSTAG.c_str(), "PP"));
if (wantPureSMC) label += "_NoBkg";
if (applyWeight_Corr) label += Form("_%s",applyCorr);
string dsName = Form("dOS_%s", label.c_str());
if (importDS) {
if ( !(myws.data(dsName.c_str())) ) {
int importID = importDataset(myws, inputWorkspace, cut, label, cutSideBand);
if (importID<0) { return false; }
else if (importID==0) { doFit = false; }
}
numEntries = myws.data(dsName.c_str())->sumEntries(); if (numEntries<=0) { doFit = false; }
}
else if (doFit && !(myws.data(dsName.c_str()))) { cout << "[ERROR] No local dataset was found to perform the fit!" << endl; return false; }
if (myws.data(dsName.c_str())) numEntries = myws.data(dsName.c_str())->sumEntries();
// Set global parameters
setMassGlobalParameterRange(myws, parIni, cut, incJpsi, incPsi2S, incBkg, wantPureSMC);
// Build the Fit Model
if (!buildCharmoniaMassModel(myws, model.PP, parIni, false, doConstrFit, doSimulFit, incBkg, incJpsi, incPsi2S, numEntries)) { return false; }
// Define plot names
if (incJpsi) { plotLabelPP += Form("_Jpsi_%s", parIni["Model_Jpsi_PP"].c_str()); }
if (incPsi2S) { plotLabelPP += Form("_Psi2S_%s", parIni["Model_Psi2S_PP"].c_str()); }
if (incBkg) { plotLabelPP += Form("_Bkg_%s", parIni["Model_Bkg_PP"].c_str()); }
if (wantPureSMC) plotLabelPP +="_NoBkg";
if (applyWeight_Corr) plotLabelPP +=Form("_%s",applyCorr);
}
if (doSimulFit || isPbPb) {
// Set models based on initial parameters
struct OniaModel model;
if (!setMassModel(model, parIni, true, incJpsi, incPsi2S, incBkg)) { return false; }
// Import the local datasets
double numEntries = 1000000;
string label = ((DSTAG.find("PbPb")!=std::string::npos) ? DSTAG.c_str() : Form("%s_%s", DSTAG.c_str(), "PbPb"));
if (wantPureSMC) label += "_NoBkg";
if (applyWeight_Corr) label += Form("_%s",applyCorr);
string dsName = Form("dOS_%s", label.c_str());
if (importDS) {
if ( !(myws.data(dsName.c_str())) ) {
int importID = importDataset(myws, inputWorkspace, cut, label, cutSideBand);
if (importID<0) { return false; }
else if (importID==0) { doFit = false; }
}
numEntries = myws.data(dsName.c_str())->sumEntries(); if (numEntries<=0) { doFit = false; }
}
else if (doFit && !(myws.data(dsName.c_str()))) { cout << "[ERROR] No local dataset was found to perform the fit!" << endl; return false; }
if (myws.data(dsName.c_str())) numEntries = myws.data(dsName.c_str())->sumEntries();
// Set global parameters
setMassGlobalParameterRange(myws, parIni, cut, incJpsi, incPsi2S, incBkg, wantPureSMC);
// Build the Fit Model
if (!buildCharmoniaMassModel(myws, model.PbPb, parIni, true, doConstrFit, doSimulFit, incBkg, incJpsi, incPsi2S, numEntries)) { return false; }
// Define plot names
if (incJpsi) { plotLabelPbPb += Form("_Jpsi_%s", parIni["Model_Jpsi_PbPb"].c_str()); }
if (incPsi2S) { plotLabelPbPb += Form("_Psi2S_%s", parIni["Model_Psi2S_PbPb"].c_str()); }
if (incBkg) { plotLabelPbPb += Form("_Bkg_%s", parIni["Model_Bkg_PbPb"].c_str()); }
if (wantPureSMC) plotLabelPbPb += "_NoBkg";
if (applyWeight_Corr) plotLabelPbPb += Form("_%s",applyCorr);
}
if (doSimulFit) {
// Create the combided datasets
RooCategory* sample = new RooCategory("sample","sample"); sample->defineType("PbPb"); sample->defineType("PP");
RooDataSet* combData = new RooDataSet("combData","combined data", *myws.var("invMass"), Index(*sample),
Import("PbPb", *((RooDataSet*)myws.data("dOS_DATA_PbPb"))),
Import("PP", *((RooDataSet*)myws.data("dOS_DATA_PP")))
);
myws.import(*sample);
// Create the combided models
RooSimultaneous* simPdf = new RooSimultaneous("simPdf", "simultaneous pdf", *sample);
simPdf->addPdf(*myws.pdf("pdfMASS_Tot_PbPb"), "PbPb"); simPdf->addPdf(*myws.pdf("pdfMASS_Tot_PP"), "PP");
myws.import(*simPdf);
// check if we have already done this fit. If yes, do nothing and return true.
string FileName = "";
setMassFileName(FileName, (inputFitDir=="" ? outputDir : inputFitDir), DSTAG, (plotLabelPP + plotLabelPbPb), cut, isPbPb, cutSideBand, doSimulFit);
if (gSystem->AccessPathName(FileName.c_str()) && inputFitDir!="") {
cout << "[WARNING] User Input File : " << FileName << " was not found!" << endl;
if (loadFitResult) return false;
setMassFileName(FileName, outputDir, DSTAG, (plotLabelPP + plotLabelPbPb), cut, isPbPb, cutSideBand, doSimulFit);
}
bool found = true; bool skipFit = !doFit;
RooArgSet *newpars = myws.pdf("simPdf")->getParameters(*(myws.var("invMass")));
myws.saveSnapshot("simPdf_parIni", *newpars, kTRUE);
found = found && isFitAlreadyFound(newpars, FileName, "simPdf");
if (loadFitResult) {
if ( loadPreviousFitResult(myws, FileName, DSTAG, false, (!isMC && !cutSideBand && loadFitResult==1), loadFitResult==1) ) { skipFit = true; } else { skipFit = false; }
if ( loadPreviousFitResult(myws, FileName, DSTAG, true, (!isMC && !cutSideBand && loadFitResult==1), loadFitResult==1) ) { skipFit = true; } else { skipFit = false; }
if (skipFit) { cout << "[INFO] This simultaneous mass fit was already done, so I'll load the fit results." << endl; }
myws.saveSnapshot("simPdf_parLoad", *newpars, kTRUE);
} else if (found) {
cout << "[INFO] This simultaneous mass fit was already done, so I'll just go to the next one." << endl;
return true;
}
// Do the simultaneous fit
if (skipFit==false) {
RooFitResult* fitResult = simPdf->fitTo(*combData, Offset(kTRUE), Extended(kTRUE), NumCPU(numCores), Range("MassWindow"), Save()); //, Minimizer("Minuit2","Migrad")
fitResult->Print("v");
myws.import(*fitResult, "fitResult_simPdf");
// Create the output files
int nBins = min(int( round((cut.dMuon.M.Max - cut.dMuon.M.Min)/binWidth) ), 1000);
drawMassPlot(myws, outputDir, opt, cut, parIni, plotLabelPP, DSTAG, false, incJpsi, incPsi2S, incBkg, cutCtau, doSimulFit, false, setLogScale, incSS, zoomPsi, nBins, getMeanPT);
drawMassPlot(myws, outputDir, opt, cut, parIni, plotLabelPbPb, DSTAG, true, incJpsi, incPsi2S, incBkg, cutCtau, doSimulFit, false, setLogScale, incSS, zoomPsi, nBins, getMeanPT);
// Save the results
string FileName = ""; setMassFileName(FileName, outputDir, DSTAG, (plotLabelPP + plotLabelPbPb), cut, isPbPb, cutSideBand, doSimulFit);
myws.saveSnapshot("simPdf_parFit", *newpars, kTRUE);
saveWorkSpace(myws, Form("%smass%s/%s/result", outputDir.c_str(), (cutSideBand?"SB":""), DSTAG.c_str()), FileName);
// Delete the objects used during the simultaneous fit
delete sample; delete combData; delete simPdf;
}
}
else {
// Define pdf and plot names
string pdfName = Form("pdfMASS_Tot_%s", COLL.c_str());
string plotLabel = (isPbPb ? plotLabelPbPb : plotLabelPP);
// Import the local datasets
string label = ((DSTAG.find(COLL.c_str())!=std::string::npos) ? DSTAG.c_str() : Form("%s_%s", DSTAG.c_str(), COLL.c_str()));
if (wantPureSMC) label += "_NoBkg";
if (applyWeight_Corr) label += Form("_%s",applyCorr);
string dsName = Form("dOS_%s", label.c_str());
// check if we have already done this fit. If yes, do nothing and return true.
string FileName = "";
setMassFileName(FileName, (inputFitDir=="" ? outputDir : inputFitDir), DSTAG, plotLabel, cut, isPbPb, cutSideBand);
if (gSystem->AccessPathName(FileName.c_str()) && inputFitDir!="") {
cout << "[WARNING] User Input File : " << FileName << " was not found!" << endl;
if (loadFitResult) return false;
setMassFileName(FileName, outputDir, DSTAG, plotLabel, cut, isPbPb, cutSideBand);
}
bool found = true; bool skipFit = !doFit;
RooArgSet *newpars = myws.pdf(pdfName.c_str())->getParameters(*(myws.var("invMass")));
found = found && isFitAlreadyFound(newpars, FileName, pdfName.c_str());
if (loadFitResult) {
if ( loadPreviousFitResult(myws, FileName, DSTAG, isPbPb, (!isMC && !cutSideBand && loadFitResult==1), loadFitResult==1) ) { skipFit = true; } else { skipFit = false; }
if (skipFit) { cout << "[INFO] This mass fit was already done, so I'll load the fit results." << endl; }
myws.saveSnapshot(Form("%s_parLoad", pdfName.c_str()), *newpars, kTRUE);
} else if (found) {
cout << "[INFO] This mass fit was already done, so I'll just go to the next one." << endl;
return true;
}
// Fit the Datasets
if (skipFit==false) {
bool isWeighted = myws.data(dsName.c_str())->isWeighted();
RooFitResult* fitResult(0x0);
if (doConstrFit)
{
cout << "[INFO] Performing constrained fit" << endl;
if (isPbPb) {
cout << "[INFO] Constrained variables: alpha, n, ratio of sigmas" << endl;
fitResult = myws.pdf(pdfName.c_str())->fitTo(*myws.data(dsName.c_str()), Extended(kTRUE), SumW2Error(isWeighted), Range(cutSideBand ? parIni["BkgMassRange_FULL_Label"].c_str() : "MassWindow"), ExternalConstraints(RooArgSet(*(myws.pdf("sigmaAlphaConstr")),*(myws.pdf("sigmaNConstr")),*(myws.pdf("sigmaRSigmaConstr")))), NumCPU(numCores), Save());
}
else {
cout << "[INFO] Constrained variables: alpha, n, ratio of sigmas" << endl;
fitResult = myws.pdf(pdfName.c_str())->fitTo(*myws.data(dsName.c_str()), Extended(kTRUE), SumW2Error(isWeighted), Range(cutSideBand ? parIni["BkgMassRange_FULL_Label"].c_str() : "MassWindow"), ExternalConstraints(RooArgSet(*(myws.pdf("sigmaAlphaConstr")),*(myws.pdf("sigmaNConstr")))), NumCPU(numCores), Save());
}
}
else
{
fitResult = myws.pdf(pdfName.c_str())->fitTo(*myws.data(dsName.c_str()), Extended(kTRUE), SumW2Error(isWeighted), Range(cutSideBand ? parIni["BkgMassRange_FULL_Label"].c_str() : "MassWindow"), NumCPU(numCores), Save());
}
fitResult->Print("v");
myws.import(*fitResult, Form("fitResult_%s", pdfName.c_str()));
// Create the output files
int nBins = min(int( round((cut.dMuon.M.Max - cut.dMuon.M.Min)/binWidth) ), 1000);
drawMassPlot(myws, outputDir, opt, cut, parIni, plotLabel, DSTAG, isPbPb, incJpsi, incPsi2S, incBkg, cutCtau, doSimulFit, wantPureSMC, setLogScale, incSS, zoomPsi, nBins, getMeanPT);
// Save the results
string FileName = ""; setMassFileName(FileName, outputDir, DSTAG, plotLabel, cut, isPbPb, cutSideBand);
myws.saveSnapshot(Form("%s_parFit", pdfName.c_str()), *newpars, kTRUE);
saveWorkSpace(myws, Form("%smass%s/%s/result", outputDir.c_str(), (cutSideBand?"SB":""), DSTAG.c_str()), FileName);
}
}
return true;
};
