//____________________________________
void DoSPlot(RooWorkspace* ws){
std::cout << "Calculate sWeights" << std::endl;
// get what we need out of the workspace to do the fit
RooAbsPdf* model = ws->pdf("model");
RooRealVar* zYield = ws->var("zYield");
RooRealVar* qcdYield = ws->var("qcdYield");
RooDataSet* data = (RooDataSet*) ws->data("data");
// fit the model to the data.
model->fitTo(*data, Extended() );
// The sPlot technique requires that we fix the parameters
// of the model that are not yields after doing the fit.
RooRealVar* sigmaZ = ws->var("sigmaZ");
RooRealVar* qcdMassDecayConst = ws->var("qcdMassDecayConst");
sigmaZ->setConstant();
qcdMassDecayConst->setConstant();
RooMsgService::instance().setSilentMode(true);
// Now we use the SPlot class to add SWeights to our data set
// based on our model and our yield variables
RooStats::SPlot* sData = new RooStats::SPlot("sData","An SPlot",
*data, model, RooArgList(*zYield,*qcdYield) );
// Check that our weights have the desired properties
std::cout << "Check SWeights:" << std::endl;
std::cout << std::endl << "Yield of Z is "
<< zYield->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight("zYield") << std::endl;
std::cout << "Yield of QCD is "
<< qcdYield->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight("qcdYield") << std::endl
<< std::endl;
for(Int_t i=0; i < 10; i++)
{
std::cout << "z Weight " << sData->GetSWeight(i,"zYield")
<< " qcd Weight " << sData->GetSWeight(i,"qcdYield")
<< " Total Weight " << sData->GetSumOfEventSWeight(i)
<< std::endl;
}
std::cout << std::endl;
// import this new dataset with sWeights
std::cout << "import new dataset with sWeights" << std::endl;
ws->import(*data, Rename("dataWithSWeights"));
}
int main() {
const double PDGLbMass=5619.51;
const double RareUpperBlind=PDGLbMass+125.0;
const double RareLowerBlind=PDGLbMass-125.0;
const double Rare2UpperBlind=PDGLbMass+175.0;
const double Rare2LowerBlind=PDGLbMass-175.0;
bool blind=true;
bool remakecc=false;
bool remakerare=false;
bool remakerare2=false;
bool sweight=false;
TRandom3* MultiCandRand=new TRandom3(224); //dont change seed
TH1I* ControlChannelMultiCands= new TH1I("ControlChannelMultiCands","ControlChannelMultiCands",10,0,10);
TH1I* RareChannelMultiCands= new TH1I("RareChannelMultiCands","RareChannelMultiCands",10,0,10);
TH1I* Rare2ChannelMultiCands= new TH1I("RareChannel2MultiCands","RareChannel2MultiCands",10,0,10);
//_______________________________________ MAKE CONTROL CHANNEL ROODATASET______________________________________
if(remakecc) {
std::string ControlDataPath=std::getenv("BUKETAPDATABDTRESPROOT");
DataFile CC12A(ControlDataPath,Data,Twel,MagAll,buketap,"BDTApplied_SampleA");
DataFile CC12B(ControlDataPath,Data,Twel,MagAll,buketap,"BDTApplied_SampleB");
DataFile CC11A(ControlDataPath,Data,Elev,MagAll,buketap,"BDTApplied_SampleA");
DataFile CC11B(ControlDataPath,Data,Elev,MagAll,buketap,"BDTApplied_SampleB");
TreeReader* CC12Reader= new TreeReader("DecayTree");
CC12Reader->AddFile(CC12A);
CC12Reader->AddFile(CC12B);
CC12Reader->Initialize(ControlCuts::BranchesToKeep,"contains");
TFile* Minimal12File= new TFile("MinimalCC12.root","RECREATE");
TTree* Minimal12Tree=CC12Reader->CopyTree(ControlCuts::AllCuts12,-1,"DecayTree");
TTree* MinimalFlagged12Tree=HandyFunctions::GetSingleTree(MultiCandRand,Minimal12Tree,ControlChannelMultiCands,NULL);
MinimalFlagged12Tree->Write();
Minimal12File->Close();
TreeReader* CC11Reader= new TreeReader("DecayTree");
CC11Reader->AddFile(CC11A);
CC11Reader->AddFile(CC11B);
CC11Reader->Initialize(ControlCuts::BranchesToKeep,"contains");
TFile* Minimal11File= new TFile("MinimalCC11.root","RECREATE");
TTree* Minimal11Tree=CC11Reader->CopyTree(ControlCuts::AllCuts11,-1,"DecayTree");
TTree* MinimalFlagged11Tree=HandyFunctions::GetSingleTree(MultiCandRand,Minimal11Tree,ControlChannelMultiCands,NULL);
MinimalFlagged11Tree->Write();
Minimal11File->Close();
TreeReader* FlaggedReader= new TreeReader("DecayTree");
FlaggedReader->AddFile("MinimalCC12.root");
FlaggedReader->AddFile("MinimalCC11.root");
FlaggedReader->Initialize();
TFile* CCSingleFile= new TFile("CCSingleFile.root","RECREATE");
TTree* SingleTree=FlaggedReader->CopyTree("isSingle==1",-1,"DecayTree");
SingleTree->Write();
CCSingleFile->Close();
}
//_____________________________________Make Rare Mode One Data__________________________________________________
if(remakerare) {
std::string RareDataPath=std::getenv("LBPKETAPPIPIGDATABDTRESPROOT");
DataFile Rare12A(RareDataPath,Data,Twel,MagAll,lbpketappipig,"BDTApplied_SampleA_NB");
DataFile Rare12B(RareDataPath,Data,Twel,MagAll,lbpketappipig,"BDTApplied_SampleB_NB");
DataFile Rare11A(RareDataPath,Data,Elev,MagAll,lbpketappipig,"BDTApplied_SampleA_NB");
DataFile Rare11B(RareDataPath,Data,Elev,MagAll,lbpketappipig,"BDTApplied_SampleB_NB");
TreeReader* Rare12Reader= new TreeReader("DecayTree");
Rare12Reader->AddFile(Rare12A);
Rare12Reader->AddFile(Rare12B);
Rare12Reader->Initialize(pipigCuts::BranchesToKeep,"contains");
TFile* Minimal12File= new TFile("MinimalRare12.root","RECREATE");
TTree* Minimal12Tree=Rare12Reader->CopyTree(pipigCuts::AllCuts12,-1,"DecayTree");
TTree* MinimalFlagged12Tree=HandyFunctions::GetSingleTree(MultiCandRand,Minimal12Tree,RareChannelMultiCands,NULL);
MinimalFlagged12Tree->Write();
Minimal12File->Close();
TreeReader* Rare11Reader= new TreeReader("DecayTree");
Rare11Reader->AddFile(Rare11A);
Rare11Reader->AddFile(Rare11B);
Rare11Reader->Initialize(pipigCuts::BranchesToKeep,"contains");
TFile* Minimal11File= new TFile("MinimalRare11.root","RECREATE");
TTree* Minimal11Tree=Rare11Reader->CopyTree(pipigCuts::AllCuts11,-1,"DecayTree");
TTree* MinimalFlagged11Tree=HandyFunctions::GetSingleTree(MultiCandRand,Minimal11Tree,RareChannelMultiCands,NULL);
MinimalFlagged11Tree->Write();
Minimal11File->Close();
TreeReader* FlaggedReader= new TreeReader("DecayTree");
FlaggedReader->AddFile("MinimalRare12.root");
FlaggedReader->AddFile("MinimalRare11.root");
FlaggedReader->Initialize();
TFile* RareSingleFile= new TFile("RareSingleFile.root","RECREATE");
TTree* SingleTree=FlaggedReader->CopyTree("isSingle==1",-1,"DecayTree");
SingleTree->Write();
RareSingleFile->Close();
}
//___________________________________ Make Rare mode Two Data________________________________________________
if(remakerare2) {
std::string Rare2DataPath=std::getenv("LBPKETAPETADATABDTRESPROOT");
DataFile Rare212A(Rare2DataPath,Data,Twel,MagAll,lbpketapeta,"BDTApplied_SampleA_NB");
DataFile Rare212B(Rare2DataPath,Data,Twel,MagAll,lbpketapeta,"BDTApplied_SampleB_NB");
DataFile Rare211A(Rare2DataPath,Data,Elev,MagAll,lbpketapeta,"BDTApplied_SampleA_NB");
DataFile Rare211B(Rare2DataPath,Data,Elev,MagAll,lbpketapeta,"BDTApplied_SampleB_NB");
TreeReader* Rare212Reader= new TreeReader("DecayTree");
Rare212Reader->AddFile(Rare212A);
Rare212Reader->AddFile(Rare212B);
Rare212Reader->Initialize(etapetaCuts::BranchesToKeep,"contains");
TFile* Minimal12File= new TFile("MinimalRare212.root","RECREATE");
TTree* Minimal12Tree=Rare212Reader->CopyTree(etapetaCuts::AllCuts12,-1,"DecayTree");
TTree* MinimalFlagged12Tree=HandyFunctions::GetSingleTree(MultiCandRand,Minimal12Tree,Rare2ChannelMultiCands,NULL);
MinimalFlagged12Tree->Write();
Minimal12File->Close();
TreeReader* Rare211Reader= new TreeReader("DecayTree");
Rare211Reader->AddFile(Rare211A);
Rare211Reader->AddFile(Rare211B);
Rare211Reader->Initialize(etapetaCuts::BranchesToKeep,"contains");
TFile* Minimal11File= new TFile("MinimalRare211.root","RECREATE");
TTree* Minimal11Tree=Rare211Reader->CopyTree(etapetaCuts::AllCuts11,-1,"DecayTree");
TTree* MinimalFlagged11Tree=HandyFunctions::GetSingleTree(MultiCandRand,Minimal11Tree,Rare2ChannelMultiCands,NULL);
MinimalFlagged11Tree->Write();
Minimal11File->Close();
TreeReader* FlaggedReader= new TreeReader("DecayTree");
FlaggedReader->AddFile("MinimalRare212.root");
FlaggedReader->AddFile("MinimalRare211.root");
FlaggedReader->Initialize();
TFile* Rare2SingleFile= new TFile("Rare2SingleFile.root","RECREATE");
TTree* SingleTree=FlaggedReader->CopyTree("isSingle==1",-1,"DecayTree");
SingleTree->Write();
Rare2SingleFile->Close();
}
//____________________________________ Shared Parameters_______________________________________________________
RooRealVar DataMCRatio("DataMCRatio","DataMCRatio",1.0,0.5,1.5);
RooRealVar CCMean("CCMean","CCMean",5279.0,5250.0,5310.0);
RooFormulaVar LambdabMean("LambdabMean","LambdabMean","@0+339.72",RooArgList(CCMean));
//RooRealVar LambdabMean("LambdabMean","LambdabMean",5619.0,5615.0,5630.0);
// RooFormulaVar CCMean("CCMean","CCMean","@0 - 339.72",RooArgList(LambdabMean));
std::vector<RooRealVar*> FreeParameters;
FreeParameters.push_back(&DataMCRatio);
// FreeParameters.push_back(&LambdabMean);
//____________________________________ Control Channel PDF______________________________________________________
TFile* CCInputFile = new TFile("CCSingleFile.root");
TTree* CCInputTree=(TTree*)CCInputFile->Get("DecayTree");
RooRealVar CCBMass("Bu_DTF_MF","Bu_DTF_MF",5000.0,5550.0);
RooRealVar CCEtaMass("eta_prime_MM","eta_prime_MM",880.0,1040.0);
RooArgSet CCArgs(CCBMass,CCEtaMass);
RooDataSet* CCData=new RooDataSet("CCData","CCData",CCArgs,Import(*CCInputTree));
//++++++++++++++++++++++++++++++Signal PDF+++++++++++++++++++++++++++++++++
TFile *CCMCFitResultFile = new TFile("CCFitResult.root");
RooFitResult* CCMCFitResult=NULL;
try {
CCMCFitResult=SafeGetFitResult(CCMCFitResultFile,"CCFitResult");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
CCMCFitResult->Print("v");
RooRealVar* CCMCSigma=NULL;
RooRealVar* CCMCLAlphaFix=NULL;
RooRealVar* CCMCRAlphaFix=NULL;
RooRealVar* CCMCLNFix=NULL;
RooRealVar* CCMCRNFix=NULL;
try {
CCMCSigma=SafeGetVar(CCMCFitResult,"CCSigma");
CCMCLAlphaFix=SafeGetVar(CCMCFitResult,"CCLAlpha");
CCMCRAlphaFix=SafeGetVar(CCMCFitResult,"CCRAlpha");
CCMCLNFix=SafeGetVar(CCMCFitResult,"CCLN");
CCMCRNFix=SafeGetVar(CCMCFitResult,"CCRN");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
RooRealVar CCMCSigmaFix("CCMCSigmaFix","CCMCSigmaFix",CCMCSigma->getVal());
CCMCSigmaFix.setConstant(kTRUE);
RooFormulaVar CCSigma("CCSigma","CCSigma","@0*@1",RooArgList(DataMCRatio,CCMCSigmaFix));
RooRealVar CCLAlpha("CCLAlpha","CCLAlpha",CCMCLAlphaFix->getVal());
RooRealVar CCRAlpha("CCRAlpha","CCRAlpha",CCMCRAlphaFix->getVal());
RooRealVar CCLN("CCLN","CCLN",CCMCLNFix->getVal());
RooRealVar CCRN("CCRN","CCRN",CCMCRNFix->getVal());
RooCBShape CCDCBLeft("CCDCBLeft","CCDCBLeft",CCBMass,CCMean,CCSigma,CCLAlpha,CCLN);
RooCBShape CCDCBRight("CCDCBRight","CCDCBRight",CCBMass,CCMean,CCSigma,CCRAlpha,CCRN);
RooRealVar CCFitFraction("CCFitFraction","CCFitFraction",0.5,0.0,1.0);
FreeParameters.push_back(&CCFitFraction);
RooAddPdf CCDCB("CCDCB","CCDCB",RooArgList(CCDCBRight,CCDCBLeft),CCFitFraction);
RooRealVar CCEtamean("CCEtamean","CCEtamean",958.0,955.0,960.0);
RooRealVar CCEtasigma("CCEtasigma","CCEtasigma",9.16,9.0,15.0);
RooRealVar* CCMCEtaLAlpha=NULL;
RooRealVar* CCMCEtaRAlpha=NULL;
RooRealVar* CCMCEtaLN=NULL;
RooRealVar* CCMCEtaRN=NULL;
try {
CCMCEtaLAlpha=SafeGetVar(CCMCFitResult,"CCEtaLAlpha");
CCMCEtaRAlpha=SafeGetVar(CCMCFitResult,"CCEtaRAlpha");
CCMCEtaLN=SafeGetVar(CCMCFitResult,"CCEtaLN");
CCMCEtaRN=SafeGetVar(CCMCFitResult,"CCEtaRN");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
RooRealVar CCEtaLAlpha("CCEtaLAlpha","CCEtaLAlpha",CCMCEtaLAlpha->getVal());
RooRealVar CCEtaRAlpha("CCEtaRAlpha","CCEtaRAlpha",CCMCEtaRAlpha->getVal());
RooRealVar CCEtaLN("CCEtaLN","CCEtaLN",CCMCEtaLN->getVal());
RooRealVar CCEtaRN("CCEtaRN","CCEtaRN",CCMCEtaRN->getVal());
RooCBShape CCEtaDCBLeft("CCEtaCBLeft","CCEtaCBLeft",CCEtaMass,CCEtamean,CCEtasigma,CCEtaLAlpha,CCEtaLN);
RooCBShape CCEtaDCBRight("CCEtaCBRight","CCEtaCBRight",CCEtaMass,CCEtamean,CCEtasigma,CCEtaRAlpha,CCEtaRN);
RooRealVar CCEtaFitFraction("CCEtaFitFraction","CCEtaFitFraction",0.22,0.1,1.0);
FreeParameters.push_back(&CCEtaFitFraction);
RooAddPdf CCEtaDCB("CCEteaDCB","CCEtaDCB",RooArgList(CCEtaDCBRight,CCEtaDCBLeft),CCEtaFitFraction);
RooProdPdf CCSignalPdf("CCSignalPdf","CCSignalPdf",RooArgSet(CCEtaDCB,CCDCB));
RooRealVar CCSignalYield("CCSignalYield","CCSignalYield",10000.0,1000.0,20000.0);
RooExtendPdf CCExtendedSignalPdf("CCExtendedSignalPdf","CCExtendedSignalPdf",CCSignalPdf,CCSignalYield);
//+++++++++++++++++++++++++++++++++ COMB NO ETAP PDF++++++++++++++++++++++++++++++++++++++++
RooRealVar CCNoEtaBSlope("CCNoEtaBSlope","CCNoEtaBSlope",-0.6,-0.8,-0.4);
FreeParameters.push_back(&CCNoEtaBSlope);
RooRealVar CCNoEtaBCurve("CCNoEtaBCurve","CCNoEtaBCurve",-0.1,-0.30,-0.05);
FreeParameters.push_back(&CCNoEtaBCurve);
RooChebychev CCNoEtaBLine("CCNoEtaBLine","CCNoEtaBLine",CCBMass,RooArgList(CCNoEtaBSlope,CCNoEtaBCurve));
RooRealVar CCNoEtaEtaP1("CCNoEtaEtaP1","CCNoEtaEtaP1",-0.1,-1.0,0.0);
FreeParameters.push_back(&CCNoEtaEtaP1);
RooRealVar CCNoEtaEtaP2("CCNoEtaEtaP2","CCNoEtaEtaP2",-0.1,-0.8,0.0);
FreeParameters.push_back(&CCNoEtaEtaP2);
RooChebychev CCNoEtaQuad("CCNoEtaQuad","CCNoEtaQuad",CCEtaMass,RooArgList(CCNoEtaEtaP1,CCNoEtaEtaP2));
RooProdPdf CCNoEtaBkgPdf("CCNoEtaBkgPdf","CCNoEtaBkgPdf",RooArgSet(CCNoEtaQuad,CCNoEtaBLine));
RooRealVar CCNoEtaBkgYield("CCNoEtaBkgYield","CCNoEtaBkgYield",2400.0,500.0,15000.0);
RooExtendPdf ExtCCNoEtaBkgPdf("ExtCCNoEtaBkgPdf","ExtCCNoEtaBkgPdf",CCNoEtaBkgPdf,CCNoEtaBkgYield);
//++++++++++++++++++++++++++++++++++ COMB TRUE ETAP PDF++++++++++++++++++++++++++++++++++
RooRealVar CCTrueEtaBSlope("CCTrueEtaBSlope","CCTrueEtaBSlope",-0.1,-1.0,0.0);
FreeParameters.push_back(&CCTrueEtaBSlope);
RooChebychev CCTrueEtaBLine("CCTrueEtaBLine","CCTrueEtaBLine",CCBMass,RooArgList(CCTrueEtaBSlope));
RooRealVar CCTrueEtaEtaLAlpha("CCTrueEtaEtaLAlpha","CCTrueEtaEtaLAlpha",CCMCEtaLAlpha->getVal());
RooRealVar CCTrueEtaEtaRAlpha("CCTrueEtaEtaRAlpha","CCTrueEtaEtaRAlpha",CCMCEtaRAlpha->getVal());
RooRealVar CCTrueEtaEtaLN("CCTrueEtaEtaLN","CCTrueEtaEtaLN",CCMCEtaLN->getVal());
RooRealVar CCTrueEtaEtaRN("CCTrueEtaEtaRN","CCTrueEtaEtaRN",CCMCEtaRN->getVal());
//RooCBShape CCTrueEtaEtaCBLeft("CCTrueEtaEtaCBLeft","CCTrueEtaEtaCBLeft",CCEtaMass,CCEtamean,CCEtasigma,CCTrueEtaEtaLAlpha,CCTrueEtaEtaLN);
RooCBShape CCTrueEtaEtaCBRight("CCTrueEtaEtaCBRight","CCTrueEtaEtaCBRight",CCEtaMass,CCEtamean,CCEtasigma,CCTrueEtaEtaRAlpha,CCTrueEtaEtaRN);
// RooRealVar CCTrueEtaEtaFitFraction("CCTrueEtaEtaFitFraction","CCTrueEtaEtaFitFraction",0.4,0.0,1.0);
//RooAddPdf CCTrueEtaEtaDCB("CCTrueEtaEtaDCB","CCTrueEtaEtaDCB",RooArgList(CCTrueEtaEtaCBRight,CCTrueEtaEtaCBLeft),CCTrueEtaEtaFitFraction);
RooProdPdf CCTrueEtaEtaBkgPdf("CCTrueEtaEtaBkgPdf","CCTrueEtaEtaBkgPdf",RooArgSet(CCTrueEtaEtaCBRight,CCTrueEtaBLine));
RooRealVar CCTrueEtaBkgYield("CCTrueEtaBkgYield","CCTrueEtaBkgYield",800.0,20.0,10000.0);
RooExtendPdf ExtCCTrueEtaBkgPdf("ExtCCTrueEtaBkgPdf","ExtCCTrueEtaBkgPdf",CCTrueEtaEtaBkgPdf,CCTrueEtaBkgYield);
RooAddPdf CCTotalPdf("CCTotalPdf","CCTotalPdf",RooArgList(ExtCCTrueEtaBkgPdf,ExtCCNoEtaBkgPdf,CCExtendedSignalPdf));
//_________________________________Rare1 Fit_____________________________
TFile * RareInputFile = new TFile("RareSingleFile.root");
TTree* RareInputTree=NULL;
try {
RareInputTree=SafeGetTree(RareInputFile,"DecayTree");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
RooRealVar LbMass("Lambda_b0_DTF_MF","Lambda_b0_DTF_MF",5200.0,6000.0);
RooRealVar RareLambda_b0_PE("Lambda_b0_PE","Lambda_b0_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareLambda_b0_PX("Lambda_b0_PX","Lambda_b0_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareLambda_b0_PY("Lambda_b0_PY","Lambda_b0_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareLambda_b0_PZ("Lambda_b0_PZ","Lambda_b0_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareProton_PE("Proton_PE","Proton_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareProton_PX("Proton_PX","Proton_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareProton_PY("Proton_PY","Proton_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareProton_PZ("Proton_PZ","Proton_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareKaon_PE("Kaon_PE","Kaon_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareKaon_PX("Kaon_PX","Kaon_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareKaon_PY("Kaon_PY","Kaon_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar RareKaon_PZ("Kaon_PZ","Kaon_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rareeta_prime_PE("eta_prime_PE","eta_prime_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rareeta_prime_PX("eta_prime_PX","eta_prime_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rareeta_prime_PY("eta_prime_PY","eta_prime_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rareeta_prime_PZ("eta_prime_PZ","eta_prime_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooArgSet RareArgs(LbMass,RareLambda_b0_PE,RareLambda_b0_PX,RareLambda_b0_PY,RareLambda_b0_PZ,RareProton_PE,RareProton_PX,RareProton_PY,RareProton_PZ);
RareArgs.add(RareKaon_PE);
RareArgs.add(RareKaon_PX);
RareArgs.add(RareKaon_PY);
RareArgs.add(RareKaon_PZ);
RareArgs.add(Rareeta_prime_PE);
RareArgs.add(Rareeta_prime_PX);
RareArgs.add(Rareeta_prime_PY);
RareArgs.add(Rareeta_prime_PZ);
RooDataSet* RareData= new RooDataSet("RareData","RareData",RareArgs,Import(*RareInputTree));
TFile * RareFitResultFile = new TFile("RareFitResult.root");
RooFitResult* RareMCFitResult=NULL;
try {
RareMCFitResult=SafeGetFitResult(RareFitResultFile,"RareFitResult");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
RareMCFitResult->Print("v");
RooRealVar* RareMCRAlpha=NULL;
RooRealVar* RareMCFitFraction=NULL;
RooRealVar* RareMCLAlpha=NULL;
RooRealVar* RareMCLN=NULL;
RooRealVar* RareMCRN=NULL;
RooRealVar* RareMCSigma=NULL;
try {
RareMCRAlpha=SafeGetVar(RareMCFitResult,"RareAlpha");
RareMCFitFraction=SafeGetVar(RareMCFitResult,"RareFitFraction");
RareMCLAlpha=SafeGetVar(RareMCFitResult,"RareLAlpha");
RareMCLN=SafeGetVar(RareMCFitResult,"RareLN");
RareMCRN=SafeGetVar(RareMCFitResult,"RareRN");
RareMCSigma=SafeGetVar(RareMCFitResult,"RareSigma");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
//++++++++++++++++++++++++++++++Rare Signal PDF++++++++++++++++++++++++++++
RooRealVar RareMCSigmaFix("RareMCSigmaFix","RareMCSigmaFix",RareMCSigma->getVal());
RareMCSigmaFix.setConstant();
RooFormulaVar RareSigma("RareSigma","RareSigma","@0*@1",RooArgSet(RareMCSigmaFix,DataMCRatio));
RooRealVar RareLAlpha("RareLAlpha","RareLAlpha",RareMCLAlpha->getVal());
RooRealVar RareRAlpha("RareRAlpha","RareRAlpha",RareMCRAlpha->getVal());
RooRealVar RareRN("RareRN","RareRN",RareMCRN->getVal());
RooRealVar RareLN("RareLN","RareLN",RareMCLN->getVal());
RooRealVar RareFitFraction("RareFitFraction","RareFitFraction",RareMCFitFraction->getVal());
RooCBShape RareDCBLeft("DCBLeft","DCBLeft",LbMass,LambdabMean,RareSigma,RareLAlpha,RareLN);
RooCBShape RareDCBRight("DCBRight","DCBRight",LbMass,LambdabMean,RareSigma,RareRAlpha,RareRN);
RooAddPdf RareDCB("RareDCB","RareDCB",RooArgList(RareDCBLeft,RareDCBRight),RareFitFraction);
RooRealVar RareYield("RareYield","RareYield",40.0,-100.0,1000.0);
RooExtendPdf RareSignalPdf("RareSignalPdf","RareSignalPdf",RareDCB,RareYield);
//++++++++++++++++++++++++++++++Rare Combinatorial Bkg+++++++++++++++++++++++++++++++++++
RooRealVar Rarep1("Rarep1","Rarep1",-1.1,-5.0,-0.1);
FreeParameters.push_back(&Rarep1);
RooRealVar Rarep2("Rarep2","Rarep2",0.5,0.001,10.0);
FreeParameters.push_back(&Rarep2);
RooChebychev RarePoly("RarePoly","RarePoly",LbMass,RooArgList(Rarep1,Rarep2));
RooRealVar RareBkgYield("RareBkgYield","RareBkgYield",2000.0,0.0,10000.0);
RooExtendPdf RareBkgPdf("RareBkgPdf","RareBkgPdf",RarePoly,RareBkgYield);
//++++++++++++++++++++++++++++Rare PKPhi Bkg+++++++++++++++++++++++++++++++++
TFile* PKPhiMCFitresultFile= new TFile("PkPhiFitResultFile.root");
RooFitResult* PKPhiMCFitResult=NULL;
try {
PKPhiMCFitResult=SafeGetFitResult(PKPhiMCFitresultFile,"PkPhiFitResult");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
PKPhiMCFitResult->Print("v");
RooRealVar* PkPhiMean=NULL;
RooRealVar* PkPhiSigma=NULL;
RooRealVar* PkPhiLAlpha=NULL;
RooRealVar* PkPhiRAlpha=NULL;
RooRealVar* PkPhiLN=NULL;
RooRealVar* PkPhiRN=NULL;
try {
PkPhiMean=SafeGetVar(PKPhiMCFitResult,"PkPhiMean");
PkPhiSigma=SafeGetVar(PKPhiMCFitResult,"PkPhiSigma");
PkPhiLAlpha=SafeGetVar(PKPhiMCFitResult,"PkPhiLAlpha");
PkPhiLN=SafeGetVar(PKPhiMCFitResult,"PkPhiLN");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
RooRealVar RarePkPhiMean("RarePkPhiMean","RarePkPhiMean",PkPhiMean->getVal());
RooRealVar RarePkPhiSigma("RarePkPhiSigma","RarePkPhiSigma",PkPhiSigma->getVal());
RooRealVar RarePkPhiLN("RarePkPhiLN","RarePkPhiLN",PkPhiLN->getVal());
RooRealVar RarePkPhiLAlpha("RarePkPhiLAlpha","RarePkPhiLAlpha",PkPhiLAlpha->getVal());
RooCBShape RarePkPhiModel("RarePkPhiModel","RarePkPhiModel",LbMass,RarePkPhiMean,RarePkPhiSigma,RarePkPhiLAlpha,RarePkPhiLN);
RooRealVar RarePkPhiYield("RarePkPhiYield","RarePkPhiYield",50.0,1.0,150.0);
RooExtendPdf RarePkPhiPdf("RarePkPhiPdf","RarePkPhiPdf",RarePkPhiModel,RarePkPhiYield);
RooAddPdf RarePdf("RarePdf","RarePdf",RooArgList(RarePkPhiPdf,RareBkgPdf,RareSignalPdf));
/*RarePdf.fitTo(*RareData,Extended(kTRUE));
RooPlot* RareFrame=LbMass.frame(Bins(35),Range(5200.0,6100.0));
TCanvas RareCanvas;
RareData->plotOn(RareFrame);
RarePdf.plotOn(RareFrame);
RareFrame->Draw();
RareCanvas.SaveAs("RareCanvas.pdf");*/
//________________________________ Fit Rare 2_______________________________
TFile* Rare2InputFile = new TFile("Rare2SingleFile.root");
TTree* Rare2InputTree=NULL;
try {
Rare2InputTree=SafeGetTree(Rare2InputFile,"DecayTree");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
RooRealVar Rare2Lambda_b0_PE("Lambda_b0_PE","Lambda_b0_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Lambda_b0_PX("Lambda_b0_PX","Lambda_b0_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Lambda_b0_PY("Lambda_b0_PY","Lambda_b0_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Lambda_b0_PZ("Lambda_b0_PZ","Lambda_b0_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Proton_PE("Proton_PE","Proton_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Proton_PX("Proton_PX","Proton_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Proton_PY("Proton_PY","Proton_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Proton_PZ("Proton_PZ","Proton_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Kaon_PE("Kaon_PE","Kaon_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Kaon_PX("Kaon_PX","Kaon_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Kaon_PY("Kaon_PY","Kaon_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2Kaon_PZ("Kaon_PZ","Kaon_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2eta_prime_PE("eta_prime_PE","eta_prime_PE",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2eta_prime_PX("eta_prime_PX","eta_prime_PX",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2eta_prime_PY("eta_prime_PY","eta_prime_PY",-RooNumber::infinity(),RooNumber::infinity());
RooRealVar Rare2eta_prime_PZ("eta_prime_PZ","eta_prime_PZ",-RooNumber::infinity(),RooNumber::infinity());
RooArgSet Rare2Args(LbMass,Rare2Lambda_b0_PE,Rare2Lambda_b0_PX,Rare2Lambda_b0_PY,Rare2Lambda_b0_PZ,Rare2Proton_PE,Rare2Proton_PX,Rare2Proton_PY,Rare2Proton_PZ);
Rare2Args.add(Rare2Kaon_PE);
Rare2Args.add(Rare2Kaon_PX);
Rare2Args.add(Rare2Kaon_PY);
Rare2Args.add(Rare2Kaon_PZ);
Rare2Args.add(Rare2eta_prime_PE);
Rare2Args.add(Rare2eta_prime_PX);
Rare2Args.add(Rare2eta_prime_PY);
Rare2Args.add(Rare2eta_prime_PZ);
RooDataSet* Rare2Data=new RooDataSet("Rare2Data","Rare2Data",Rare2Args,Import(*Rare2InputTree));
TFile* Rare2MCFitResultFile= new TFile("RareTwoFitResult.root");
RooFitResult* Rare2MCFitResult=NULL;
try {
Rare2MCFitResult=SafeGetFitResult(Rare2MCFitResultFile,"RareTwoFitResult");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
//++++++++++++++++++++++++++++++Signal PDF++++++++++++++++++++++++++++++++
RooRealVar* Rare2MCFitFraction=NULL;
RooRealVar* Rare2MCLAlpha=NULL;
RooRealVar* Rare2MCLN=NULL;
RooRealVar* Rare2MCRN=NULL;
RooRealVar* Rare2MCRAlpha=NULL;
RooRealVar* Rare2MCSigma=NULL;
try {
Rare2MCFitFraction=SafeGetVar(Rare2MCFitResult,"Rare2FitFraction");
Rare2MCLAlpha=SafeGetVar(Rare2MCFitResult,"Rare2LAlpha");
Rare2MCLN=SafeGetVar(Rare2MCFitResult,"Rare2LN");
Rare2MCRN=SafeGetVar(Rare2MCFitResult,"Rare2RN");
Rare2MCRAlpha=SafeGetVar(Rare2MCFitResult,"Rare2RAlpha");
Rare2MCSigma=SafeGetVar(Rare2MCFitResult,"Rare2Sigma");
} catch(std::exception &e) {
std::cout<<e.what()<<std::endl;
return 1;
}
RooRealVar Rare2SigmaFix("Rare2SigmaFix","Rare2SigmaFix",Rare2MCSigma->getVal());
RooFormulaVar Rare2Sigma("Rare2Sigma","Rare2Sigma","@0*@1",RooArgList(Rare2SigmaFix,DataMCRatio));
RooRealVar Rare2LN("Rare2LN","Rare2LN",Rare2MCLN->getVal());
RooRealVar Rare2RN("Rare2RN","Rare2RN",Rare2MCRN->getVal());
RooRealVar Rare2RAlpha("Rare2RAlpha","Rare2RAlpha",Rare2MCRAlpha->getVal());
RooRealVar Rare2LAlpha("Rare2LAlpha","Rare2LAlpha",Rare2MCLAlpha->getVal());
RooRealVar Rare2FitFraction("Rare2FitFraction","Rare2FitFraction",Rare2MCFitFraction->getVal());
RooCBShape Rare2CBLeft("Rare2CBLeft","Rare2CBLeft",LbMass,LambdabMean,Rare2Sigma,Rare2LAlpha,Rare2LN);
RooCBShape Rare2CBRight("Rare2CBRight","Rare2CBRight",LbMass,LambdabMean,Rare2Sigma,Rare2RAlpha,Rare2RN);
RooAddPdf Rare2DCB("Rare2DCB","Rare2DCB",RooArgList(Rare2CBLeft,Rare2CBRight),Rare2FitFraction);
RooRealVar Rare2SignalYield("Rare2SignalYield","Rare2SignalYield",100.0,-100.0,1000.0);
RooExtendPdf Rare2SignalPdf("Rare2SignalPdf","Rare2SignalPdf",Rare2DCB,Rare2SignalYield);
//++++++++++++++++++++++++++++++Rare 2 Bkg pdf++++++++++++++++++++++++++++++
RooRealVar Rare2K("K","K",-0.003,-0.1,0.0);
RooExponential Rare2BkgExp("Rare2BkgExp","Rare2BkgExp",LbMass,Rare2K);
RooRealVar Rare2BkgYield("Rare2BkgYield","Rare2BkgYield",2000.0,0.0,100000.0);
RooExtendPdf Rare2BkgPdf("Rare2BkgPdf","Rare2BkgPdf",Rare2BkgExp,Rare2BkgYield);
RooAddPdf Rare2Pdf("Rare2Pdf","Rare2Pdf",RooArgList(Rare2SignalPdf,Rare2BkgPdf));
//___________________________________ SImultaneous Part ________________________________________________________
RooCategory Channel("Channel","Channel");
Channel.defineType("Rare");
Channel.defineType("Rare2");
Channel.defineType("Control");
RooDataSet* AllData = new RooDataSet("AllData","AllData",RooArgSet(LbMass,CCBMass,CCEtaMass),Index(Channel),Import("Rare",*RareData),Import("Rare2",*Rare2Data),Import("Control",*CCData));
RooSimultaneous SimPdf("SimPdf","SimPdf",Channel);
SimPdf.addPdf(Rare2Pdf,"Rare2");
SimPdf.addPdf(RarePdf,"Rare");
SimPdf.addPdf(CCTotalPdf,"Control");
RooDataSet* BlindedData=NULL;
RooFitResult* SimResult=NULL;
if(blind) {
LbMass.setRange("RLSB",5200.0,RareLowerBlind);
LbMass.setRange("RUSB",RareUpperBlind,6000.0);
LbMass.setRange("R2LSB",5200.0,Rare2LowerBlind);
LbMass.setRange("R2USB",Rare2UpperBlind,6000.0);
LbMass.setRange("RDLSB",5200.0,5493.33333);
LbMass.setRange("RDUSB",RareUpperBlind,6000.0);
std::string CutString="Lambda_b0_DTF_MF<"+std::to_string(RareLowerBlind)+"||Lambda_b0_DTF_MF>"+std::to_string(Rare2UpperBlind);
BlindedData=(RooDataSet*)AllData->reduce(CutString.data());
RooMsgService::instance().setSilentMode(kTRUE);
RooMsgService::instance().setGlobalKillBelow(RooFit::FATAL) ;
}
RooArgSet MinosPars(Rare2SignalYield,RareYield,CCSignalYield);
SimResult = SimPdf.fitTo(*AllData,Save(kTRUE),Extended(kTRUE),Minos(MinosPars));
SimPdf.Print("v");
RooPlot* NominalLikelihoodRareYield=RareYield.frame(Title("Likelihood scan of RareYield"),Range(50,150));
RooAbsReal* nll = SimPdf.createNLL(*AllData,NumCPU(2),Extended(kTRUE));
TCanvas C;
nll->plotOn(NominalLikelihoodRareYield,ShiftToZero());
NominalLikelihoodRareYield->Draw();
C.SaveAs("NominalLikelihood.pdf");
// HandyFunctions::SetlhcbStyle();
//_______________________________ Plot B+ Canvas_____________________________________________________________
RooPlot* CCBFrame= CCBMass.frame(Bins(50),Range(5000.0,5500.0),Title("Control Channel B+ Mass Projection"));
AllData->plotOn(CCBFrame,Cut("Channel==Channel::Control"));
SimPdf.plotOn(CCBFrame,Slice(Channel,"Control"),Components("ExtCCTrueEtaBkgPdf"),LineColor(kMagenta),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(CCBFrame,Slice(Channel,"Control"),Components("ExtCCNoEtaBkgPdf"),LineColor(kGreen),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(CCBFrame,Slice(Channel,"Control"),Components("CCExtendedSignalPdf"),LineColor(kRed),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(CCBFrame,Slice(Channel,"Control"),ProjWData(Channel,*AllData));
TCanvas* CCBCanvas=HandyFunctions::DecoratePlot(CCBFrame);
/*(TCanvas* CCBCanvas= new TCanvas("CCBCanvas","CCBCanvas",1600,900);
CCBFrame->Draw();
CCBCanvas->SaveAs("CCBCanvas.eps");*/
//________________________________Plot Eta Canvas_____________________________________________________________
RooPlot* CCEtaFrame=CCEtaMass.frame(Bins(50),Range(880.0,1040.0),Title("Control Channel Eta' Projection"));
AllData->plotOn(CCEtaFrame,Cut("Channel==Channel::Control"));
SimPdf.plotOn(CCEtaFrame,Slice(Channel,"Control"),Components("ExtCCTrueEtaBkgPdf"),LineColor(kMagenta),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(CCEtaFrame,Slice(Channel,"Control"),Components("ExtCCNoEtaBkgPdf"),LineColor(kGreen),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(CCEtaFrame,Slice(Channel,"Control"),Components("CCExtendedSignalPdf"),LineColor(kRed),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(CCEtaFrame,Slice(Channel,"Control"),ProjWData(Channel,*AllData));
TCanvas* CCEtaCanvas=HandyFunctions::DecoratePlot(CCEtaFrame);
/*TCanvas* CCEtaCanvas=new TCanvas("CCEtaCanvas","CCEtaCanvas",1600,900);
CCEtaFrame->Draw();
CCEtaCanvas->Print("CCEtaCanvas.eps");*/
//________________________________Plot Rare Canvas_____________________________________________________________
RooPlot* RareFrame=LbMass.frame(Bins(30),Range(5200.0,6000.0),Title("#Lambda_{b} -> p K (#eta' -> #pi #pi #gamma) ;M(#Lambda_{b})"));
if(blind) {
double sidebandsN = RareData ->sumEntries("1","RLSB,RUSB");
double LowsidebandsN = RareData ->sumEntries("1","RLSB");
RareData->plotOn(RareFrame,CutRange("RDLSB,RDUSB"),Name("RareDataPlotted"));
RarePdf.plotOn(RareFrame,Range("RLSB,RUSB"),Components("RarePkPhiPdf"),Name("RarePkPhiBkg"),LineColor(kMagenta),LineStyle(kDashed),Normalization(sidebandsN,RooAbsReal::NumEvent));
RarePdf.plotOn(RareFrame,Range("RLSB,RUSB"),Components("RareBkgPdf"),Name("RareCombBkg"),LineColor(kGreen),LineStyle(kDashed),Normalization(sidebandsN,RooAbsReal::NumEvent));
RarePdf.plotOn(RareFrame,Range("RLSB,RUSB"),Normalization(sidebandsN,RooAbsReal::NumEvent));
} else {
AllData->plotOn(RareFrame,Cut("Channel==Channel::Rare"));
SimPdf.plotOn(RareFrame,Slice(Channel,"Rare"),Components("RarePkPhiPdf"),LineColor(kMagenta),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(RareFrame,Slice(Channel,"Rare"),Components("RareBkgPdf"),LineColor(kGreen),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(RareFrame,Slice(Channel,"Rare"),Components("RareSignalPdf"),LineColor(kRed),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(RareFrame,Slice(Channel,"Rare"),ProjWData(Channel,*AllData));
}
int i=RareFrame->numItems();
std::cout<<"_________________________________________"<<std::endl;
for(int j=0; j<i; j++) {
std::cout<<RareFrame->nameOf(j)<<std::endl;
}
TLegend * RareLegend = new TLegend(0.66,0.7,0.9,0.9);
RareLegend->AddEntry(RareFrame->findObject("RarePkPhiBkg"),"#Lambda_{b} -> p K #phi bkg","l");
RareLegend->AddEntry(RareFrame->findObject("RareCombBkg"),"Combinatorial Background","l");
std::cout<<"++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
RooHist* Pulls=RareFrame->pullHist(0,"RarePdf_Norm[Lambda_b0_DTF_MF]");
TCanvas* RareCanvas=HandyFunctions::DecoratePlot(RareFrame,"DecoratedRareCanvas");
RareCanvas->Print("RareCanvas.pdf");
TCanvas * PullCanvas=new TCanvas("RarePullCanvas","RarePullCanvas",1200,1000);
Pulls->Draw("AP");
PullCanvas->SaveAs("RarePulls.pdf");
TCanvas *RareNoPullCanvas = new TCanvas("RareFitCanvas","RareFitCanvas",1600,900);
RareFrame->Draw();
RareLegend->Draw();
RareNoPullCanvas->Print("RareNoPullCanvasPrinted.eps");
//_______________________________Plot Rare2 Canvas_____________________________________________________________
RooPlot* Rare2Frame=LbMass.frame(Bins(25),Range(5200.0,6000.),Title("#Lambda_{b} -> p K (#eta' -> #pi #pi #eta);M(#Lambda_{b})"));
if(blind) {
double Rare2sidebandsN= Rare2Data->sumEntries("1","R2LSB,R2USB");
Rare2Data->plotOn(Rare2Frame,CutRange("R2LSB,R2USB"));
Rare2Pdf.plotOn(Rare2Frame,Range("R2LSB,R2USB"),Normalization(Rare2sidebandsN,RooAbsReal::NumEvent));
} else {
AllData->plotOn(Rare2Frame,Cut("Channel==Channel::Rare2"));
SimPdf.plotOn(Rare2Frame,Slice(Channel,"Rare2"),Components("Rare2BkgPdf"),LineColor(kGreen),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(Rare2Frame,Slice(Channel,"Rare2"),Components("Rare2SignalPdf"),LineColor(kRed),LineStyle(kDashed),ProjWData(Channel,*AllData));
SimPdf.plotOn(Rare2Frame,Slice(Channel,"Rare2"),ProjWData(Channel,*AllData));
}
TCanvas* NoPullRare2= new TCanvas("NoPullRare2","NoPullRare2",1800,1000);
Rare2Frame->Draw();
NoPullRare2->SaveAs("PiPiEtaFit.eps");
TCanvas* Rare2Canvas=HandyFunctions::DecoratePlot(Rare2Frame,"DecoratedRare2Canvas");
Rare2Canvas->SaveAs("Rare2Canvas.pdf");
if(blind) {
RooArgSet NotBlind(CCEtamean,CCSignalYield,DataMCRatio,CCNoEtaBkgYield,CCTrueEtaBkgYield,CCMean,RareBkgYield,Rare2BkgYield,RarePkPhiYield);
cout << "Fit complete" << endl;
cout << "covQual:" << SimResult->covQual() << endl;
cout << "EDM:" << SimResult->edm() << endl;
cout << "FCN at min:" << SimResult->minNll() << endl;
NotBlind.Print("s");
}
TFile* DataFitResults= new TFile("DataFitResults.root","RECREATE");
RareNoPullCanvas->Write();
CCBCanvas->Write();
CCEtaCanvas->Write();
RareCanvas->Write();
Rare2Canvas->Write();
SimResult->Write("DataFitResult");
DataFitResults->Close();
RooWorkspace* Wkspc= new RooWorkspace("w","workspace");
Wkspc->import(SimPdf);
// Wkspc->writeToFile("BigFitWorkspace.root");
Wkspc->writeToFile("TestBigFitWorkspace.root");
for(auto Var : FreeParameters) {
Var->setConstant();
}
RooStats::SPlot* sDataMass;
if(sweight) {
sDataMass = new RooStats::SPlot("sData","An SPlot",*RareData,&RarePdf,RooArgList(RarePkPhiYield,RareYield,RareBkgYield));
std::cout<<" Check SWeights: "<<std::endl;
std::cout<<" BkgYield= "<<RareBkgYield.getVal()<<std::endl;
std::cout<<" Bkg yield from sweights = "<<sDataMass->GetYieldFromSWeight("RareBkgYield")<<std::endl;
}
}
int main(){
/*Toy Model with following True parameters
Guess 20 events in Lb->pketa' (1)
and 15 events in Lb->pketa'->pipieta (2)
Lb Efficiencies=0.0002637
B+ Efficiency=0.000411 (3)
B(eta'->pi pi g)=0.291
B(eta'->pi pi eta)=0.16
fd/fL= 2.5
*/
int GenRare=40;
int GenRare2=30;
int GenControl=11000;
RooRealVar Mode2EfficiencyRatio("Mode2EfficiencyRatio","Mode2EfficiencyRatio",1.558589);
RooRealVar ModeEfficiencyRatio("ModeEfficiencyRatio","ModeEfficiencyRatio",1.558589);
RooRealVar SubBRRatio("SubBRRatio","SubBRRatio",0.645);
RooRealVar fdFl("fdFl","fdFl",2.5);
RooRealVar YieldRatio("YieldRatio","YieldRatio",0.1,0.000001,1.0);
RooRealVar YieldRatio2("YieldRatio2","YieldRatio2",0.1,0.000001,1.0);
//RooFormulaVar ObservableBFRatio("ObservableBFRatio","ObservableBFRatio","((@0*@1)+(@2*@3))*@4*@5",RooArgSet(YieldRatio,ModeEfficiencyRatio,YieldRatio2,Mode2EfficiencyRatio,SubBRRatio,fdFl));
RooRealVar ObservableBFRatio("ObservableBFRatio","ObservableBFRatio",0.5,0.00000001,10.0);
// RooRealVar ControlYield("ControlYield","ControlYield",10000.0,0.0,20000.0);
//RooRealVar RareYield("RareYield","RareYield",30.0,0.0,1100.0);
//RooFormulaVar RareArg("RareArg","RareArg","@1*@2",RooArgSet(ControlYield,YieldRatio));
RooRealVar ControlMean("ControlMean","ControlMean",5279.0,5200.0,5350.0);
RooRealVar SigmaCorrection("SigmaCorrection","SigmaCorrection",1.1,0.9,1.8);
RooRealVar LambdaMass("LambdaMass","LambdaMass",5000,6200.0);
// RooRealVar RareMean("RareMean","RareMean",5619.0,5600.0,5650.0);
RooFormulaVar RareMean("RareMean","RareMean","@0+339.72",RooArgSet(ControlMean));
RooRealVar MCRareSigma("MCRareSigma","MCRareSigma",25.0);
// RooRealVar RareSigma("RareSigma","RareSigma",29.0,20.0,40.0);
RooFormulaVar RareSigma("RareSigma","RareSigma","@0*@1",RooArgSet(MCRareSigma,SigmaCorrection));
RooGaussian RareMode("RareMode","RareMode",LambdaMass,RareMean,RareSigma);
RooRealVar K("K","K",-0.003,-0.010,-0.001);
RooExponential RareBkg("RareBkg","RareBkg",LambdaMass,K);
RooRealVar RareBkgYield("RareBkgYield","RareBkgYield",1000.0,0.0,2000.0);
RooExtendPdf ExtRareBkg("ExtRareBkg","ExtRareBkg",RareBkg,RareBkgYield);
// RooFormulaVar RareYield("RareYield","RareYield","@0*@1",RooArgSet(ControlYield,YieldRatio));
RooRealVar RareYield("RareYield","RareYield",1.0,0.0,600.0);
RooExtendPdf ExtRareSig("ExtRareSig","ExtRareSig",RareMode,RareYield);
RooAddPdf ExtRare("ExtRare","ExtRare",RooArgSet(ExtRareSig,ExtRareBkg));
RooDataSet* RareSigData=RareMode.generate(RooArgSet(LambdaMass),GenRare);
RooDataSet* RareBkgData=RareBkg.generate(RooArgSet(LambdaMass),500);
RooDataSet* RareData= new RooDataSet(*RareSigData,"RareData");
RareData->append(*RareBkgData);
RooRealVar MCRare2Sigma("MCRare2Sigma","MCRare2Sigma",17.0);
//RooRealVar Rare2Sigma("Rare2Sigma","Rare2Sigma",20.0,10.0,30.0);
RooFormulaVar Rare2Sigma("Rare2Sigma","Rare2Sigma","@0*@1",RooArgSet(MCRare2Sigma,SigmaCorrection));
RooGaussian RareMode2("RareMode2","RareMode2",LambdaMass,RareMean,Rare2Sigma);
RooDataSet* RareData2=RareMode2.generate(RooArgSet(LambdaMass),GenRare2);
//RooFormulaVar RareYield2("RareYield2","RareYield2","@0*@1",RooArgSet(ControlYield,YieldRatio2));
//RooFormulaVar RareYield2("RareYield2","RareYield2","(ControlYield*(1/Mode2EfficiencyRatio))*((ObservableBFRatio/(SubBRRatio*fdFl))-(YieldRatio*ModeEfficiencyRatio))",RooArgSet(ControlYield,Mode2EfficiencyRatio,ObservableBFRatio,SubBRRatio,fdFl,YieldRatio,ModeEfficiencyRatio));
RooRealVar RareYield2("RareYield2","RareYield2",1.0,0.0,100.0);
RooExtendPdf ExtRare2("ExtRare2","ExtRare2",RareMode2,RareYield2);
RooRealVar BMass("BMass","BMass",5000.0,5500.0);
// RooFormulaVar ControlMean("ControlMean","ControlMean","@0-339.72",RooArgSet(RareMean));
RooRealVar MCControlSigma("MCControlSigma","MCControlSigma",17.0);
RooFormulaVar ControlSigma("ControlSigma","ControlSigma","@0*@1",RooArgSet(MCControlSigma,SigmaCorrection));
//RooRealVar ControlSigma("ControlSigma","ControlSigma",20.0,10.0,40.0);
RooGaussian ControlMode("ControlMode","ControlMode",BMass,ControlMean,ControlSigma);
RooFormulaVar ControlYield("ControlYield","ControlYield","(1/ObservableBFRatio)*((ModeEfficiencyRatio*RareYield)+(Mode2EfficiencyRatio*RareYield2))*SubBRRatio*fdFl",RooArgSet(ObservableBFRatio,ModeEfficiencyRatio,RareYield,Mode2EfficiencyRatio,RareYield2,SubBRRatio,fdFl));
RooExtendPdf ExtControl("ExtControl","ExtControl",ControlMode,ControlYield);
RooDataSet* ControlData=ControlMode.generate(RooArgSet(BMass),GenControl);
RooCategory Mode("Mode","Mode");
Mode.defineType("Rare");
Mode.defineType("Rare2");
Mode.defineType("Control");
RooDataSet CombData("CombData","CombData",RooArgSet(BMass,LambdaMass),Index(Mode),Import("Rare2",*RareData2),Import("Rare",*RareData),Import("Control",*ControlData));
RooSimultaneous SimPdf("SimPdf","SimPdf",Mode);
SimPdf.addPdf(ExtRare,"Rare");
SimPdf.addPdf(ExtRare2,"Rare2");
SimPdf.addPdf(ExtControl,"Control");
RooFitResult* SimResult=SimPdf.fitTo(CombData,Save(kTRUE),Minos(kTRUE));
/* double FreeYield=-1*SimResult->minNll();
std::cout<<"With free yield = "<<SimResult->minNll()<<std::endl;
RareYield.setVal(0);
RareYield.setConstant(kTRUE);
RooFitResult* Rare1Fixed=SimPdf.fitTo(CombData,Save(kTRUE),Minos(kTRUE));
double NullYield=-1*Rare1Fixed->minNll();
std::cout<<"With not free yield = "<<Rare1Fixed->minNll()<<std::endl;
double DeltaLogLikelihood=NullYield-FreeYield;
std::cout<<"DeltaNll= "<<DeltaLogLikelihood<<std::endl;
double Significance=TMath::Sqrt(-2*DeltaLogLikelihood);
std::cout<<"Significance= "<<Significance<<std::endl;
SimPdf.fitTo(CombData,Save(kTRUE),Minos(kTRUE));*/
RooPlot* BFrame= BMass.frame(Bins(50),Title("B Mass"),Range(5200.0,5400.0));
ControlData->plotOn(BFrame);
ControlMode.plotOn(BFrame);
RooPlot* LambdaFrame = LambdaMass.frame(Bins(50),Title("Lambda mass"),Range(5200.0,6100.0));
RareData->plotOn(LambdaFrame);
ExtRare.plotOn(LambdaFrame);
RooPlot* LambdaFrame2 = LambdaMass.frame(Bins(50),Title("Lambda mass"),Range(5200.0,6100.0));
RareData2->plotOn(LambdaFrame2);
RareMode2.plotOn(LambdaFrame2);
TCanvas BCanvas;
BFrame->Draw();
BCanvas.SaveAs("BCanvas.pdf");
TCanvas LambdaCanvas;
LambdaFrame->Draw();
LambdaCanvas.SaveAs("LambdaCanvas.pdf");
TCanvas LambdaCanvas2;
LambdaFrame2->Draw();
LambdaCanvas2.SaveAs("LambdaCanvas2.pdf");
SimResult->Print("v");
// S imPdf.graphVizTree("model.dot");
std::cout<<"Real Ratio = "<<GenRare/(double)GenControl<<std::endl;
ObservableBFRatio.Print("v");
std::cout<<"Lb BF = "<<ObservableBFRatio.getVal()*7.06E-5<<" + "<<ObservableBFRatio.getErrorHi()*7.06E-5<<" - "<<ObservableBFRatio.getErrorLo()*7.06E-5<<std::endl;
//________________________________________________ATTEMPT TO SWEIGHT____________________________________________
RooStats::SPlot* sDataMass = new RooStats::SPlot("sData","An SPlot",*RareData,&ExtRare,RooArgList(RareYield,RareBkgYield));
std::cout << std::endl << "Yield of signal is " << RareYield.getVal() << ". From sWeights it is " << sDataMass->GetYieldFromSWeight("RareYield") << std::endl;
std::cout << "Yield of background is " << RareBkgYield.getVal() << ". From sWeights it is " << sDataMass->GetYieldFromSWeight("RareBkgYield") << std::endl << std::endl;
RooAbsReal* nll = SimPdf.createNLL(CombData);
RooMinuit(*nll).migrad();
RooPlot* LLFrame=ObservableBFRatio.frame(Title("Some Title"),Range(0.005,0.03));
nll->plotOn(LLFrame,ShiftToZero());
LLFrame->GetYaxis()->SetRangeUser(0.0,1000.0);
TCanvas LLCanvas;
LLFrame->Draw();
LLCanvas.SaveAs("LLCanvas.pdf");
}
void fitKmm_loQ(Int_t bin) {
gSystem->Load("libRooFit");
gROOT->SetStyle("Plain");
gStyle->SetOptStat(1111);
TFile * file = TFile::Open("/Disk/ecdf-nfs-ppe/lhcb/gcowan/B2Kll/data/fromAlex/BuKmm.root");
TTree * DecayTree = dynamic_cast<TTree*>(file->Get("DecayTree"));
TString binStr; binStr+=bin;
Double_t minQ(0.), maxQ(0.);
switch(bin) {
case 0:
minQ = TMath::Sqrt(1.1e6);
maxQ = TMath::Sqrt(2.e6);
break;
case 1:
minQ = TMath::Sqrt(2.e6);
maxQ = TMath::Sqrt(3.e6);
break;
case 2:
minQ = TMath::Sqrt(3.e6);
maxQ = TMath::Sqrt(4.e6);
break;
case 3:
minQ = TMath::Sqrt(4.e6);
maxQ = TMath::Sqrt(5.e6);
break;
case 4:
minQ = TMath::Sqrt(5.e6);
maxQ = TMath::Sqrt(6.e6);
break;
default:
return;
}
TString cutStr("Psi_M> "); cutStr += minQ; cutStr += " && Psi_M< "; cutStr += maxQ;
//B_M
RooRealVar B_M("B_M","; m(Kmumu) (MeV/c^{2}); Candidates / 12 MeV/c^{2}",5150,6000);
RooRealVar Psi_M("Psi_M","; m(mumu) (MeV/c^{2}); Candidates / 45 MeV/c^{2}",500,5000);
RooDataSet * data = new RooDataSet("data", "dataset with B_REFITTED_M", DecayTree, RooArgSet(B_M,Psi_M));
RooDataSet * data1 = dynamic_cast<RooDataSet*>(data->reduce(cutStr));
// from J/Psi region
// 1 #sigma_{Lo} 1.59171e+01 9.61516e-02 1.80663e-03 6.11760e-02
// 2 M_{B} 5.28397e+03 3.00802e-02 1.66677e-03 3.66768e-01
// 3 a1 1.57752e+00 1.64484e-02 2.65338e-03 -7.53912e-01
// 4 a2 -2.64268e+00 2.11254e-02 2.51938e-03 4.90950e-01
// 5 frac 6.78672e-01 1.29969e-02 7.03329e-03 3.65422e-01
// 6 n1 4.79832e+00 2.84430e-01 2.61785e-02 -4.03463e-02
// 7 n2 1.08224e+00 2.68180e-02 5.47500e-03 -9.00362e-01
// 8 nbkg 5.56890e+03 1.31433e+02 7.62084e-03 -8.36640e-01
// 9 nsig 6.56230e+05 8.17224e+02 4.15943e-03 6.95832e-01
// 10 p0 -6.44379e-02 2.13769e-03 2.57927e-02 4.41139e-01
// 11 ratio 1.60407e+00 9.46569e-03 3.93086e-03 -7.72555e-01
// B DCB
// start, range to from. plus names and titles.
RooRealVar sigmean("M_{B}","B mass",5281.0,5250.0,5300.0,"MeV/c^{2}");
RooRealVar sigsigma("#sigma_{Lo}","B sigma",15.9,0.0,30.0,"MeV/c^{2}");
RooRealVar a1("a1","a1", 1.57752e+00);
RooRealVar n1("n1","n1", 4.79832e+00);
RooRealVar a2("a2","a2",-2.64268e+00);
RooRealVar n2("n2","n2", 1.08224e+00);
RooRealVar ratio("ratio","Ratio of widths",1.60407e+00);
RooProduct sigsigma2("#sigma_{B}2","B sigma2",RooArgSet(sigsigma,ratio));
RooRealVar frac("frac","fraction of events in each gaussian",6.78672e-01);
RooCBShape BSig_RF( "Bsig_RF", "Signal CB B RF Mass", B_M, sigmean, sigsigma, a1, n1 );
RooCBShape BSig_RF2( "Bsig_RF2", "Signal CB B RF Mass", B_M, sigmean, sigsigma2, a2, n2 );
RooAddPdf B0Sig("B0signal","signal pdf",RooArgList(BSig_RF,BSig_RF2),RooArgList(frac));
RooRealVar p0("p0","",-6.44379e-02,-0.1,0.1);
RooExponential comb_bkg("comb_bkg","",B_M,p0);
// Number of signal & background events
RooRealVar nsig("nsig","#signal events",150,-1000,50000,"Events");
RooRealVar nbkg("nbkg","#signal events",150,-1000,50000,"Events");
RooAddPdf full_RF_PDF("full_RF_PDF","RF PDF of everything",RooArgList(B0Sig,comb_bkg), RooArgList(nsig,nbkg));
//# Do the fit on REFITTED Mass
full_RF_PDF.fitTo(*data1,RooFit::Extended());
TCanvas * can = new TCanvas("can","Mass fits Data",800,600);
B_M_RF_Plot = B_M.frame(100);
B_M_RF_Plot->SetTitle("");
B_M_RF_Plot->GetYaxis()->SetTitle("Candidates / 8.5 MeV/c^{2}");
B_M_RF_Plot->GetXaxis()->SetTitle("m(K#mu#mu) (MeV/c^{2})");
data1->plotOn(B_M_RF_Plot);
full_RF_PDF.plotOn(B_M_RF_Plot);
full_RF_PDF.plotOn(B_M_RF_Plot, RooFit::Components("comb_bkg"), RooFit::LineStyle(kDashed),RooFit::LineColor(kMagenta));
full_RF_PDF.plotOn(B_M_RF_Plot, RooFit::Components("B0signal"), RooFit::LineStyle(kDashed));
B_M_RF_Plot->Draw();
can->SaveAs("plots/Kmm_loQ_"+binStr+".pdf");
can->SetLogy();
B_M_RF_Plot->SetMinimum(1.e-1);
B_M_RF_Plot->SetMaximum(5.e+2);
B_M_RF_Plot->Draw();
can->SaveAs("plots/Kmm_loQ_"+binStr+"_log.pdf");
//// Try splot stuff
//// First set all parameters to constant except for yields
sigmean.setConstant();
sigsigma.setConstant();
p0.setConstant();
RooStats::SPlot * sData = new RooStats::SPlot("sData","An SPlot",*data1, &full_RF_PDF, RooArgList(nsig,nbkg));
sData->GetSDataSet()->write("/Home/dcraik/Kll/tuples/Kmm_loQ_"+binStr+"_sWeights.txt");
}
//____________________________________
void DoSPlot(RooWorkspace* ws){
std::cout << "Calculate sWeights" << std::endl;
RooAbsPdf* model = ws->pdf("model");
RooRealVar* nsig = ws->var("nsig");
RooRealVar* nBbkg = ws->var("nBbkg");
RooRealVar* nbkg = ws->var("nbkg");
RooRealVar* nbkg2 = ws->var("nbkg2");
RooDataSet* data = (RooDataSet*) ws->data("data");
// fit the model to the data.
model->fitTo(*data, Extended() );
RooMsgService::instance().setSilentMode(true);
// Now we use the SPlot class to add SWeights to our data set
// based on our model and our yield variables
RooStats::SPlot* sData = new RooStats::SPlot("sData","An SPlot",
*data, model, RooArgList(*nsig,*nBbkg,*nbkg,*nbkg2) );
// Check that our weights have the desired properties
std::cout << "Check SWeights:" << std::endl;
std::cout << std::endl << "Yield of sig is "
<< nsig->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight("nsig") << std::endl;
std::cout << std::endl << "Yield of Bbkg is "
<< nBbkg->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight("nBbkg") << std::endl;
std::cout << std::endl << "Yield of bkg is "
<< nbkg->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight("nbkg") << std::endl;
std::cout << std::endl << "Yield of bkg2 is "
<< nbkg2->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight("nbkg2") << std::endl;
cout << endl; cout << endl; cout << endl;
float sum20=0;
float sum50=0;
float sum100=0;
float sum200=0;
float sum300=0;
float sum600=0;
float sum900=0;
float sum1200=0;
float total=0;
// saving weights into a file
ofstream myfile;
myfile.open ("weights.txt");
// plot the weight event by event with the Sum of events values as cross-check
for(Int_t i=0; i < data->numEntries(); i++) {
//myfile << sData->GetSWeight(i,"nsig") << " " << sData->GetSWeight(i,"nBbkg") << " " << sData->GetSWeight(i,"nbkg") << " " << sData->GetSWeight(i,"nbkg2") << endl;
//myfile << sData->GetSWeight(i,"nsig") <<endl;
myfile << (unsigned int) data->get(i)->getRealValue("run")
<< " " << (unsigned int) data->get(i)->getRealValue("event")
<< " " << (float) data->get(i)->getRealValue("FourMu_Mass")
<< " " << sData->GetSWeight(i,"nsig")
<< endl;
// std::cout << "nsig Weight " << sData->GetSWeight(i,"nsig")
// << " nBbkg Weight " << sData->GetSWeight(i,"nBbkg")
// << " nbkg Weight " << sData->GetSWeight(i,"nbkg")
// << " nbkg2 Weight " << sData->GetSWeight(i,"nbkg2")
// << " Total Weight " << sData->GetSumOfEventSWeight(i)
// << std::endl;
total+=sData->GetSWeight(i,"nsig");
if(i<20) sum20+=sData->GetSWeight(i,"nsig");
if(i<50) sum50+=sData->GetSWeight(i,"nsig");
if(i<100) sum100+=sData->GetSWeight(i,"nsig");
if(i<200) sum200+=sData->GetSWeight(i,"nsig");
if(i<300) sum300+=sData->GetSWeight(i,"nsig");
if(i<600) sum600+=sData->GetSWeight(i,"nsig");
if(i<900) sum900+=sData->GetSWeight(i,"nsig");
if(i<1200) sum1200+=sData->GetSWeight(i,"nsig");
}
myfile.close();
std::cout << std::endl;
std::cout<<"Sum of the sWeights is: "<<total<<std::endl;
std::cout<<"Sum of the first 20 sWeights is: "<<sum20<<std::endl;
std::cout<<"Sum of the first 50 sWeights is: "<<sum50<<std::endl;
std::cout<<"Sum of the first 100 sWeights is: "<<sum100<<std::endl;
std::cout<<"Sum of the first 200 sWeights is: "<<sum200<<std::endl;
std::cout<<"Sum of the first 300 sWeights is: "<<sum300<<std::endl;
std::cout<<"Sum of the first 600 sWeights is: "<<sum600<<std::endl;
std::cout<<"Sum of the first 900 sWeights is: "<<sum900<<std::endl;
std::cout<<"Sum of the first 1200 sWeights is: "<<sum1200<<std::endl;
std::cout<<"Total # of events: "<<data->numEntries()<<std::endl;
// import this new dataset with sWeights
std::cout << "import new dataset with sWeights" << std::endl;
ws->import(*data, Rename("dataWithSWeights"));
}
//____________________________________
RooStats::SPlot* DoSPlot(RooWorkspace* ws){
//Users will have to edit this functioon to account for changes made for their own model
//This will mainly involve matching the variable names to those defined in AddModel and AddData
std::cout << "Calculate sWeights" << std::endl;
// get what we need out of the workspace to do the fit
RooAbsPdf* model = ws->pdf(pdfName);
RooDataSet* data = (RooDataSet*) ws->data(dataSetName);
// fit the model to the data.
model->fitTo(*data, Extended() );
// The sPlot technique requires that we fix the parameters
// of the model that are not yields after doing the fit.
ws->var(TString("SigMean"))->setConstant();
ws->var(TString("SigWidth"))->setConstant();
ws->var(TString("l0"))->setConstant();
ws->var(TString("l1"))->setConstant();
ws->var(TString("l2"))->setConstant();
//The only 2 free parameters will now be the signal and background yields
//Note, if we have more than 2 types of event we would need to get additional yeilds here
RooRealVar* s_Yield = ws->var(TString("SigYield"));
RooRealVar* b_Yield = ws->var(TString("BckYield"));
RooMsgService::instance().setSilentMode(true);
// Now we use the SPlot class to add SWeights to our data set
// based on our model and our yield variables
RooStats::SPlot* sData = new RooStats::SPlot(pdfName+"SW","An SPlot",
*data, model, RooArgList(*s_Yield,*b_Yield) );
//Check that our weights have the desired properties
std::cout << "Check SWeights:" << std::endl;
std::cout << std::endl << "Yield of Signal is "
<< s_Yield->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight(TString("SigYield")) << std::endl;
std::cout << "Yield of Background is "
<< b_Yield->getVal() << ". From sWeights it is "
<< sData->GetYieldFromSWeight(TString("BckYield")) << std::endl
<< std::endl;
for(Int_t i=0; i < 10; i++)
{
std::cout << "signal Weight " << sData->GetSWeight(i,TString("SigYield"))
<< " background Weight " << sData->GetSWeight(i,TString("BckYield"))
<< " Total Weight " << sData->GetSumOfEventSWeight(i)
<< std::endl;
}
std::cout << std::endl;
//Now plot the fit resluts for checking
//Users will have to edit this for the variables they are using
RooRealVar* vML = ws->var("Mmiss");
RooAbsPdf* b_Model = ws->pdf("BackPDF");
RooPlot* frame = vML->frame() ;
data->plotOn(frame, DataError(RooAbsData::SumW2) ) ; //plot the data
model->plotOn(frame,LineStyle(kDashed), LineColor(kRed)) ; //model = signal + back fit result
model->plotOn(frame,Components(*b_Model),LineStyle(kDashed),LineColor(kGreen)) ; //just the back fit result
model->paramOn(frame,
FillColor(kRed),
Label("Global Fit parameters:"),
Layout(0.1, 0.4, 0.9),
Format("NEU",AutoPrecision(3)),
ShowConstants());
frame->SetTitle("M#Lambda distribution fit");
frame->Draw() ;
canvas->Modified();
canvas->Update();
cin.get();//wait here until users ready to continue
//Write fit plot canvas to output file
TDirectory* savedir=gDirectory;
outPlots->cd();
canvas->SetName(pdfName);
canvas->Write();
savedir->cd();
//return the finished RooStats::sPlot object
return sData;
}