double upper_limit_Bayesian_BAT(Model* model,double confidence,int Niters){
cout<<"///////////////////////////////////////////////////////////////////////////////////////////"<<endl;
cout<<"Calculating upper limit with the Bayesian method(BAT)"<<endl;
cout<<"///////////////////////////////////////////////////////////////////////////////////////////"<<endl;
RooWorkspace* wspace = new RooWorkspace("wspace");
RooStats::ModelConfig* modelConfig = new ModelConfig("bayes");
modelConfig->SetWorkspace(*wspace);
modelConfig->SetPdf(*model->get_complete_likelihood());
modelConfig->SetPriorPdf(*model->get_POI_prior());
modelConfig->SetParametersOfInterest(*model->get_POI_set());
modelConfig->SetNuisanceParameters(*model->get_nuisance_set());
cout<<" POI size "<<model->get_POI_set()->getSize()<<endl;
//BATCalculator batcalc(model->get_data(), model->get_complete_likelihood(), model->get_POI_set(), model->get_POI_prior());
BATCalculator batcalc(*model->get_data(), *modelConfig);
batcalc.SetConfidenceLevel(1-(2*(1-confidence)));
batcalc.SetnMCMC(Niters);
//batcalc.SetNbins("POI",100);
double ul=batcalc.GetInterval()->UpperLimit();
cout<<confidence<<"% CL upper limit: " <<ul<<endl;
//double prec=batcalc.GetBrfPrecision();
return ul;
}
//#include <typeinfo.h>
void addFlatNuisances(std::string fi){
gSystem->Load("libHiggsAnalysisCombinedLimit.so");
TFile *fin = TFile::Open(fi.c_str());
RooWorkspace *wspace = (RooWorkspace*)fin->Get("w_hmumu");
wspace->Print("");
RooStats::ModelConfig *mc = (RooStats::ModelConfig*)wspace->genobj("ModelConfig");
RooArgSet *nuis = (RooArgSet*) mc->GetNuisanceParameters();
std::cout << "Before...." << std::endl;
nuis->Print();
RooRealVar *mgg = (RooRealVar*)wspace->var("mmm");
// Get all of the "flat" nuisances to be added to the nusiances:
RooArgSet pdfs = (RooArgSet) wspace->allVars();
RooAbsReal *pdf;
TIterator *it_pdf = pdfs.createIterator();
while ( (pdf=(RooAbsReal*)it_pdf->Next()) ){
if (!(std::string(pdf->GetName()).find("zmod") != std::string::npos )) {
if (!(std::string(pdf->GetName()).find("__norm") != std::string::npos )) {
continue;
}
}
pdf->Print();
RooArgSet* pdfpars = (RooArgSet*)pdf->getParameters(RooArgSet(*mgg));
pdfpars->Print();
std::string newname_pdf = (std::string("unconst_")+std::string(pdf->GetName()));
wspace->import(*pdf,RooFit::RenameVariable(pdf->GetName(),newname_pdf.c_str()));
pdf->SetName(newname_pdf.c_str());
nuis->add(*pdf);
}
wspace->var("MH")->setVal(125.0);
std::cout << "After..." << std::endl;
nuis->Print();
mc->SetNuisanceParameters(*nuis);
//RooWorkspace *wspace_new = wspace->Clone();
//mc->SetWorkspace(*wspace_new);
//wspace_new->import(*mc,true);
TFile *finew = new TFile((std::string(fin->GetName())+std::string("_unconst.root")).c_str(),"RECREATE");
//wspace_new->SetName("w");
finew->WriteTObject(wspace);
finew->Close();
}
void makeModel(RooWorkspace& w) {
TFile *_file0 = TFile::Open("plots/htotal_root_ZprimeRecomass.root");
TH1F *Histo = (TH1F*)_file0->Get("htotaldata");
RooRealVar invm("invm","invm",200.,4000.);
RooDataHist* data = new RooDataHist("data","data",invm,Import(*Histo)) ;
// TTree* tree = new TTree("simple","data from ascii file");
// Long64_t nlines = tree->ReadFile("list_mll_200_2016.txt","x1:x2:x3:invm:x5:x6");
// Long64_t nlines = tree->ReadFile("a.txt","x1:x2:x3:invm:x5:x6");
// printf(" found %lld pointsn",nlines);
// tree->Write();
// tree->GetEntries();
RooRealVar mass("mass","mass", 300., 200., 1600.);
RooRealVar nsig("nsig","Number of signal events", 0., 5000.);
RooRealVar nbkg("nbkg","Number of background events", 0., 300000.);
w.import(mass);
w.import(nsig);
w.import(nbkg);
// RooRealVar invm("invm","Invariant mass", 200., 4000.);
// RooDataSet* data = new RooDataSet("data", "Data", invm, RooFit::Import(*tree));
data->Print("v");
w.import(invm);
w.import(*data);
w.factory("expr::sigma('invm*(0.01292 + 0.00001835 * invm - 0.0000000002733 * invm*invm)',invm)");
w.factory("expr::width('0.03*invm',invm)");
w.factory("CEXPR::bkgpdf('exp(24.9327 - 2.39287e-03*invm + 3.19926e-07*invm*invm - 3.38799e-11*invm*invm*invm)*pow(invm,-3.3634)',invm)");
w.factory("Voigtian::sigpdf(invm,mass,width,sigma)");
w.factory("SUM::model(nbkg*bkgpdf, nsig*sigpdf)");
RooAbsPdf* sigpdf = w.pdf("sigpdf");
RooAbsPdf* bkgpdf = w.pdf("bkgpdf");
RooAbsPdf* model = w.pdf("model");
RooStats::ModelConfig* mc = new ModelConfig("mc",&w);
mc->SetPdf(*w.pdf("model"));
mc->SetParametersOfInterest(*w.var("nsig"));
mc->SetObservables(*w.var("invm"));
w.defineSet("nuisParams","nbkg");
mc->SetNuisanceParameters(*w.set("nuisParams"));
w.var("mass")->setConstant(true);
w.import(*mc);
w.Print("tree");
w.writeToFile("MyModel_workspace.root");
TCanvas* c1 = new TCanvas("c1","Control Plots", 900, 700);
RooPlot* plot = w.var("invm")->frame();
w.data("data")->plotOn(plot);
w.pdf("model")->plotOn(plot);
w.pdf("model")->plotOn(plot, Components("bkgpdf"),LineStyle(kDashed));
w.pdf("model")->plotOn(plot, Components("sigpdf"),LineColor(kRed));
plot->Draw();
return;
}
