pair<double,double> datEvents(RooWorkspace *work, int m_hyp, int cat, bool spin=false){
vector<double> result;
RooDataSet *data = (RooDataSet*)work->data(Form("data_mass_cat%d",cat));
double evs = data->numEntries();
double evsPerGev;
if (!spin) evsPerGev = data->sumEntries(Form("CMS_hgg_mass>=%4.1f && CMS_hgg_mass<%4.1f",double(m_hyp)-0.5,double(m_hyp)+0.5));
else evsPerGev = data->sumEntries(Form("mass>=%4.1f && mass<%4.1f",double(m_hyp)-0.5,double(m_hyp)+0.5));
return pair<double,double>(evs,evsPerGev);
}
void FitterUtils::PlotShape2D(RooDataSet& originDataSet, RooDataSet& genDataSet, RooAbsPdf& shape, string plotsfile, string canvName, RooRealVar& B_plus_M, RooRealVar& misPT)
{
//**************Prepare TFile to save the plots
TFile f2(plotsfile.c_str(), "UPDATE");
//**************Plot Signal Zero Gamma
TH2F* th2fKey = (TH2F*)shape.createHistogram("th2Shape", B_plus_M, Binning(20), YVar(misPT, Binning(20)));
cout<<genDataSet.sumEntries()<<endl;
TH2F* th2fGen = (TH2F*)genDataSet.createHistogram("th2fGen", B_plus_M, Binning(20), YVar(misPT, Binning(20)));
RooPlot* plotM = B_plus_M.frame();
originDataSet.plotOn(plotM);
shape.plotOn(plotM);
RooPlot* plotMisPT = misPT.frame();
originDataSet.plotOn(plotMisPT);
shape.plotOn(plotMisPT);
TCanvas canv(canvName.c_str(), canvName.c_str(), 800, 800);
canv.Divide(2,2);
canv.cd(1); th2fGen->Draw("lego");
canv.cd(2); th2fKey->Draw("surf");
canv.cd(3); plotM->Draw();
canv.cd(4); plotMisPT->Draw();
canv.Write();
f2.Close();
}
void reweight_eta_1d(TH1F* weight_eta,TH1F* weight_etao,TH2F*weight_etan,TH2F* weight_eta2o,TH2F* weight_etanr,TH2F*weight_eta2,RooDataSet **dset, RooDataSet *dsetdestination, int numvar){
if (!(*dset)) return;
TH1F *hnum = new TH1F("hnum","hnum",n_etabins_forreweighting,etabins_forreweighting);
TH1F *hden = new TH1F("hden","hden",n_etabins_forreweighting,etabins_forreweighting);
// TH1F *hnum = new TH1F("hnum","hnum",25,0.,2.5);
// TH1F *hden = new TH1F("hden","hden",25,0.,2.5);
hnum->Sumw2();
hden->Sumw2();
const char* etaname=Form("rooeta%d",numvar);
for (int i=0; i<(*dset)->numEntries(); i++){
hden->Fill(fabs((*dset)->get(i)->getRealValue(etaname)),(*dset)->store()->weight(i));
}
for (int i=0; i<dsetdestination->numEntries(); i++){
hnum->Fill(fabs(dsetdestination->get(i)->getRealValue(etaname)),dsetdestination->store()->weight(i));
}
hnum->Scale(1.0/hnum->Integral());
hden->Scale(1.0/hden->Integral());
hnum->Divide(hden);
TH1F *h = hnum;
RooDataSet *newdset = new RooDataSet(**dset,Form("%s_etarew",(*dset)->GetName()));
newdset->reset();
for (int i=0; i<(*dset)->numEntries(); i++){
RooArgSet args = *((*dset)->get(i));
float oldw = (*dset)->store()->weight(i);
float eta = args.getRealValue(etaname);
float neww = oldw*h->GetBinContent(h->FindBin(fabs(eta)));
if(debug){
weight_eta->Fill(neww);
weight_etao->Fill(oldw);
weight_etan->Fill(h->FindBin(fabs(eta)),neww);
weight_eta2o->Fill(h->FindBin(fabs(eta)),oldw);
if(oldw!=0 && neww!=0)weight_etanr->Fill(h->FindBin(fabs(eta)),oldw/neww);
else {weight_etanr->Fill(-10,1);}
// weight_pt2->Fill(pt,neww/oldw);
if(oldw!=0 && neww!=0)weight_eta2->Fill(fabs(eta),oldw/neww);
else {weight_eta2->Fill(-10,1);}
}
newdset->add(args,neww);
}
newdset->SetName((*dset)->GetName());
newdset->SetTitle((*dset)->GetTitle());
delete hnum; delete hden;
RooDataSet *old_dset = *dset;
*dset=newdset;
std::cout << "Eta 1d rew: norm from " << old_dset->sumEntries() << " to " << newdset->sumEntries() << std::endl;
delete old_dset;
};
void MakeSpinPlots::DrawSpinBackground(TString tag, TString mcName,bool signal){
bool drawSM = (smName!="" && smName!=mcName);
TCanvas cv;
double thisN = ws->data(mcName+"_Combined")->reduce(TString("evtcat==evtcat::")+tag)->sumEntries();
float norm = thisN; //607*lumi/12.*thisN/(totEB+totEE);
cout << norm <<endl;
if(signal) norm = ws->data(Form("Data_%s_%s_sigWeight",tag.Data(),mcName.Data()))->sumEntries();
RooPlot *frame = ws->var("cosT")->frame(0,1,5);
RooDataSet* bkgWeight = (RooDataSet*)ws->data(Form("Data_%s_%s_bkgWeight",tag.Data(),mcName.Data()));
RooDataSet* tmp = (RooDataSet*)ws->data("Data_Combined")->reduce(TString("((mass>115 && mass<120) || (mass>130 && mass<135)) && evtcat==evtcat::")+tag);
tmp->plotOn(frame,RooFit::Rescale(norm/tmp->sumEntries()));
cout << "b" <<endl;
ws->pdf(Form("%s_FIT_%s_cosTpdf",mcName.Data(),tag.Data()))->plotOn(frame,RooFit::LineColor(kGreen),RooFit::Normalization(norm/tmp->sumEntries()));
if(drawSM) ws->pdf(Form("%s_FIT_%s_cosTpdf",smName.Data(),tag.Data()))->plotOn(frame,RooFit::LineColor(kRed),RooFit::Normalization(norm/tmp->sumEntries()));
cout << "c " <<bkgWeight <<endl;
bkgWeight->plotOn(frame,RooFit::Rescale(norm/bkgWeight->sumEntries()),RooFit::MarkerColor(kBlue) );
if(signal){
cout << "d" <<endl;
ws->data(Form("Data_%s_%s_sigWeight",tag.Data(),mcName.Data()))->plotOn(frame,RooFit::MarkerStyle(4));
}
cout << "d" <<endl;
frame->SetMaximum(frame->GetMaximum()*(signal?0.8:0.4)*norm/tmp->sumEntries());
frame->SetMinimum(-1*frame->GetMaximum());
TLegend l(0.6,0.2,0.95,0.45);
l.SetFillColor(0);
l.SetBorderSize(0);
l.SetHeader(tag);
l.AddEntry(frame->getObject(0),"Data m#in [115,120]#cup[130,135]","p");
l.AddEntry(frame->getObject(1),mcName,"l");
if(drawSM) l.AddEntry(frame->getObject(2),"SM Higgs","l");
l.AddEntry(frame->getObject(2+drawSM),"background weighted Data","p");
if(signal) l.AddEntry(frame->getObject(3+drawSM),"signal weighted Data","p");
cout << "e" <<endl;
frame->Draw();
l.Draw("SAME");
cv.SaveAs( basePath+Form("/cosThetaPlots/CosThetaDist_%s%s_%s_%s.png",outputTag.Data(),(signal ? "":"_BLIND"),mcName.Data(),tag.Data()) );
cv.SaveAs( basePath+Form("/cosThetaPlots/C/CosThetaDist_%s%s_%s_%s.C",outputTag.Data(),(signal ? "":"_BLIND"),mcName.Data(),tag.Data()) );
cv.SaveAs( basePath+Form("/cosThetaPlots/CosThetaDist_%s%s_%s_%s.pdf",outputTag.Data(),(signal ? "":"_BLIND"),mcName.Data(),tag.Data()) );
}
void reweight_pt_1d(TH1F* weight_pt, TH1F* weight_pto,TH2F*weight_ptn,TH2F*weight_pt2o,TH2F* weight_ptnr, TH2F* weight_pt2,RooDataSet **dset, RooDataSet *dsetdestination, int numvar){
if (!(*dset)) return;
///numerator and denominator
TH1F *hnum = new TH1F("hnum","hnum",n_ptbins_forreweighting,ptbins_forreweighting);
TH1F *hden = new TH1F("hden","hden",n_ptbins_forreweighting,ptbins_forreweighting);
hnum->Sumw2();
hden->Sumw2();
const char* ptname=Form("roopt%d",numvar);
// RooAbsData->get*() Load a given row of data
//getRealValue Get value of a RooAbsReal stored in set with given name. If none is found, value of defVal is returned.
for (int i=0; i<(*dset)->numEntries(); i++){
hden->Fill(fabs((*dset)->get(i)->getRealValue(ptname)),(*dset)->store()->weight(i));
}
for (int i=0; i<dsetdestination->numEntries(); i++){
hnum->Fill(fabs(dsetdestination->get(i)->getRealValue(ptname)),dsetdestination->store()->weight(i));
}
//normalize to one
hnum->Scale(1.0/hnum->Integral());
hden->Scale(1.0/hden->Integral());
hnum->Divide(hden);
TH1F *h = hnum;
RooDataSet *newdset = new RooDataSet(**dset,Form("%s_ptrew",(*dset)->GetName()));
newdset->reset();
for (int i=0; i<(*dset)->numEntries(); i++){
RooArgSet args = *((*dset)->get(i));
float oldw = (*dset)->store()->weight(i);
float pt = args.getRealValue(ptname);
float neww = oldw*h->GetBinContent(h->FindBin(fabs(pt)));
if(debug){
weight_pt->Fill(neww);
weight_pto->Fill(oldw);
weight_pt2o->Fill(h->FindBin(fabs(pt)),oldw);
weight_ptn->Fill(h->FindBin(fabs(pt)),neww);
if(oldw!=0 && neww!=0)weight_ptnr->Fill(h->FindBin(fabs(pt)),oldw/neww);
else {weight_ptnr->Fill(-10,1);}
if(oldw!=0 && neww!=0)weight_pt2->Fill(pt,oldw/neww);
else {weight_pt2->Fill(-10,1);}
}
newdset->add(args,neww);
}
newdset->SetName((*dset)->GetName());
newdset->SetTitle((*dset)->GetTitle());
delete hnum; delete hden;
RooDataSet *old_dset = *dset;
*dset=newdset;
std::cout << "Pt 1d rew: norm from " << old_dset->sumEntries() << " to " << newdset->sumEntries() << std::endl;
delete old_dset;
};
//2d reweighting of rho and its sigma
void reweight_rhosigma(TH1F* weight_rho, TH1F* weight_rhoo,TH2F*weight_rhon,TH2F*weight_rho2o,TH2F* weight_rhonr, TH2F* weight_rho2,TH2F*weight_sigman,TH2F*weight_sigma2o,TH2F* weight_sigmanr, TH2F* weight_sigma2,RooDataSet **dset, RooDataSet *dsetdestination, bool deleteold){
if (!(*dset)) return;
// TH2F *hnum = new TH2F("hnum","hnum",n_rhobins_forreweighting,rhobins_forreweighting,n_sigmabins_forreweighting,sigmabins_forreweighting);
// TH2F *hden = new TH2F("hden","hden",n_rhobins_forreweighting,rhobins_forreweighting,n_sigmabins_forreweighting,sigmabins_forreweighting);
TH2F *hnum = new TH2F("hnum","hnum",100,0,100,20,0,20);
TH2F *hden = new TH2F("hden","hden",100,0,100,20,0,20);
hnum->Sumw2();
hden->Sumw2();
for (int i=0; i<(*dset)->numEntries(); i++){
hden->Fill(fabs((*dset)->get(i)->getRealValue("roorho")),fabs((*dset)->get(i)->getRealValue("roosigma")),(*dset)->store()->weight(i));
}
for (int i=0; i<dsetdestination->numEntries(); i++){
hnum->Fill(fabs(dsetdestination->get(i)->getRealValue("roorho")),fabs(dsetdestination->get(i)->getRealValue("roosigma")),dsetdestination->store()->weight(i));
}
hnum->Scale(1.0/hnum->Integral());
hden->Scale(1.0/hden->Integral());
//data/MC
hnum->Divide(hden);
TH2F *h = hnum;
RooDataSet *newdset = new RooDataSet(**dset,Form("%s_rhosigmarew",(*dset)->GetName()));
newdset->reset();
for (int i=0; i<(*dset)->numEntries(); i++){
RooArgSet args = *((*dset)->get(i));
float oldw = (*dset)->store()->weight(i);
float rho = args.getRealValue("roorho");
float sigma = args.getRealValue("roosigma");
float neww = oldw*h->GetBinContent(h->FindBin(rho,sigma));
if(debug){
weight_rho->Fill(neww);
weight_rhoo->Fill(oldw);
weight_rho2o->Fill(h->GetXaxis()->FindBin(rho),oldw);
weight_rhon->Fill(h->GetXaxis()->FindBin(rho),neww);
if(oldw!=0)weight_rhonr->Fill(h->GetXaxis()->FindBin(rho),oldw/neww);
else {weight_rhonr->Fill(-10,1);}//cout << "dipho weight old 0" << endl;}
if(oldw!=0)weight_rho2->Fill(rho,oldw/neww);
weight_sigma2o->Fill(h->GetYaxis()->FindBin(sigma),oldw);
weight_sigman->Fill(h->GetYaxis()->FindBin(sigma),neww);
if(oldw!=0)weight_sigmanr->Fill(h->GetYaxis()->FindBin(sigma),oldw/neww);
else {weight_sigmanr->Fill(-10,1);}//cout << "dipho weight old 0" << endl;}
if(oldw!=0)weight_sigma2->Fill(sigma,oldw/neww);
}
newdset->add(args,neww);
}
newdset->SetName((*dset)->GetName());
newdset->SetTitle((*dset)->GetTitle());
delete hnum; delete hden;
RooDataSet *old_dset = *dset;
*dset=newdset;
std::cout << "RhoSigma2D rew: norm from " << old_dset->sumEntries() << " to " << newdset->sumEntries() << std::endl;
if (deleteold) delete old_dset;
};
void MakeSpinPlots::DrawSpinSubTotBackground(TString mcName,bool signal){
bool drawSM = (smName!="" && smName!=mcName);
TCanvas cv;
double thisN = ws->data(mcName+"_Combined")->sumEntries();
float norm = thisN;
if(signal) norm = ws->var(Form("Data_%s_FULLFIT_Nsig",mcName.Data()))->getVal();
RooPlot *frame = ws->var("cosT")->frame(0,1,10);
RooDataSet* tmp = (RooDataSet*)ws->data(Form("Data_Combined"))->reduce("(mass>115 && mass<120) || (mass>130 && mass<135)");
tmp->plotOn(frame,RooFit::Rescale(norm/tmp->sumEntries()));
ws->pdf(Form("%s_FIT_cosTpdf",mcName.Data()))->plotOn(frame,RooFit::LineColor(kGreen),RooFit::Normalization(norm/tmp->sumEntries()));
if(drawSM) ws->pdf(Form("%s_FIT_cosTpdf",smName.Data()))->plotOn(frame,RooFit::LineColor(kRed),RooFit::Normalization(norm/tmp->sumEntries()));
if(signal){
RooDataHist *h = (RooDataHist*)ws->data( Form("Data_%s_Combined_bkgSub_cosT",mcName.Data()) );
h->plotOn(frame,RooFit::MarkerStyle(4));
std::cout << "Nsig: " << h->sumEntries() << std::endl;
}
frame->SetMaximum(frame->GetMaximum()*(signal?2.:1.2)*norm/tmp->sumEntries());
frame->SetMinimum(-1*frame->GetMaximum());
TLegend l(0.6,0.2,0.95,0.45);
l.SetFillColor(0);
l.SetBorderSize(0);
l.SetHeader("Combined");
l.AddEntry(frame->getObject(0),"Data m#in [115,120]#cup[130,135]","p");
l.AddEntry(frame->getObject(1),mcName,"l");
if(drawSM) l.AddEntry(frame->getObject(2),"SM Higgs","l");
if(signal) l.AddEntry(frame->getObject(2+drawSM),"bkg-subtracted Data","p");
frame->Draw();
l.Draw("SAME");
cv.SaveAs( basePath+Form("/cosThetaPlots/CosThetaDist_SimpleSub_%s%s_%s.png",outputTag.Data(),(signal ? "":"_BLIND"),mcName.Data()) );
cv.SaveAs( basePath+Form("/cosThetaPlots/C/CosThetaDist_SimpleSub_%s%s_%s.C",outputTag.Data(),(signal ? "":"_BLIND"),mcName.Data()) );
cv.SaveAs( basePath+Form("/cosThetaPlots/CosThetaDist_SimpleSub_%s%s_%s.pdf",outputTag.Data(),(signal ? "":"_BLIND"),mcName.Data()) );
}
vector<double> sigEvents(RooWorkspace *work, int m_hyp, int cat, string altSigFileName, int spin=false){
RooWorkspace *tempWork;
if (altSigFileName!=""){
TFile *temp = TFile::Open(altSigFileName.c_str());
tempWork = (RooWorkspace*)temp->Get("cms_hgg_workspace");
}
else {
tempWork = work;
}
vector<double> result;
RooDataSet *ggh = (RooDataSet*)tempWork->data(Form("sig_ggh_mass_m%d_cat%d",m_hyp,cat));
RooDataSet *vbf = (RooDataSet*)tempWork->data(Form("sig_vbf_mass_m%d_cat%d",m_hyp,cat));
RooDataSet *wzh = (RooDataSet*)tempWork->data(Form("sig_wzh_mass_m%d_cat%d",m_hyp,cat));
RooDataSet *tth = (RooDataSet*)tempWork->data(Form("sig_tth_mass_m%d_cat%d",m_hyp,cat));
double total;
if (!spin) {
total = ggh->sumEntries()+vbf->sumEntries()+wzh->sumEntries()+tth->sumEntries();
result.push_back(total);
result.push_back(100*ggh->sumEntries()/total);
result.push_back(100*vbf->sumEntries()/total);
result.push_back(100*wzh->sumEntries()/total);
result.push_back(100*tth->sumEntries()/total);
}
else {
ggh = (RooDataSet*)tempWork->data(Form("sig_mass_m%d_cat%d",m_hyp,cat));
total = ggh->sumEntries();
result.push_back(total);
result.push_back(100.);
result.push_back(0.);
result.push_back(0.);
result.push_back(0.);
}
return result;
}
void embeddedToysWithBackgDetEffects_1DKD(int nEvts=600, int nToys=3000,
sample mySample = kScalar_fa3p5,
bool bkg, bool sigFloating, int counter){
RooRealVar* kd = new RooRealVar("psMELA","psMELA",0,1);
kd->setBins(1000);
RooPlot* kdframe1 = kd->frame();
// 0- template
TFile f1("KDdistribution_ps_analytical_detEff.root", "READ");
TH1F *h_KD_ps = (TH1F*)f1.Get("h_KD");
h_KD_ps->SetName("h_KD_ps");
RooDataHist rdh_KD_ps("rdh_KD_ps","rdh_KD_ps",RooArgList(*kd),h_KD_ps);
RooHistPdf pdf_KD_ps("pdf_KD_ps","pdf_KD_ps",RooArgList(*kd),rdh_KD_ps);
// 0+ template
TFile f2("KDdistribution_sm_analytical_detEff.root", "READ");
TH1F *h_KD_sm = (TH1F*)f2.Get("h_KD");
h_KD_sm->SetName("h_KD_sm");
RooDataHist rdh_KD_sm("rdh_KD_sm","rdh_KD_sm",RooArgList(*kd),h_KD_sm);
RooHistPdf pdf_KD_sm("pdf_KD_sm","pdf_KD_sm",RooArgList(*kd),rdh_KD_sm);
// backg template
TFile f3("KDdistribution_bkg_analytical_detEff.root", "READ");
TH1F *h_KD_bkg = (TH1F*)f3.Get("h_KD");
h_KD_bkg->SetName("h_KD_bkg");
RooDataHist rdh_KD_bkg("rdh_KD_bkg","rdh_KD_bkg",RooArgList(*kd),h_KD_bkg);
RooHistPdf pdf_KD_bkg("pdf_KD_bkg","pdf_KD_bkg",RooArgList(*kd),rdh_KD_bkg);
//Define signal model with 0+, 0- mixture
RooRealVar rrv_fa3("fa3","fa3",0.5,0.,1.); //free parameter of the model
RooFormulaVar rfv_fa3Obs("fa3obs","1/ (1 + (1/@0 - 1)*0.99433)",RooArgList(rrv_fa3));
RooAddPdf modelSignal("modelSignal","ps+sm",pdf_KD_ps,pdf_KD_sm,rfv_fa3Obs);
rrv_fa3.setConstant(kFALSE);
//Define signal+bakground model
RooRealVar rrv_BoverTOT("BoverTOT","BoverTOT",1/(3.75+1),0.,10.);
RooAddPdf model("model","background+modelSignal",pdf_KD_bkg,modelSignal,rrv_BoverTOT);
if(sigFloating)
rrv_BoverTOT.setConstant(kFALSE);
else
rrv_BoverTOT.setConstant(kTRUE);
//Set the values of free parameters to compute pulls
double fa3Val=-99;
if (mySample == kScalar_fa3p0)
fa3Val=0.;
else if (mySample == kScalar_fa3p1)
fa3Val=0.1;
else if (mySample == kScalar_fa3p5 || mySample == kScalar_fa3p5phia390)
fa3Val=0.5;
else if (mySample == kScalar_fa3p25)
fa3Val=0.25;
else{
cout<<"fa3Val not correct!"<<endl;
return 0;
}
double sigFracVal=1 - 1/(3.75+1);
//Plot the models
TCanvas* c = new TCanvas("modelPlot_detBkg","modelPlot_detBkg",400,400);
rdh_KD_ps.plotOn(kdframe1,LineColor(kBlack),MarkerColor(kBlack));
pdf_KD_ps.plotOn(kdframe1,LineColor(kBlack),RooFit::Name("pseudo"));
//rdh_KD_sm.plotOn(kdframe1,LineColor(kBlue),MarkColor(kBlue));
pdf_KD_sm.plotOn(kdframe1,LineColor(kBlue),RooFit::Name("SM"));
//rdh_KD_bkg.plotOn(kdframe1,LineColor(kGreen),LineColor(kGreen));
pdf_KD_bkg.plotOn(kdframe1,LineColor(kGreen),RooFit::Name("bkg"));
modelSignal.plotOn(kdframe1,LineColor(kRed),RooFit::Name("signal_fa3p5"));
model.plotOn(kdframe1,LineColor(kOrange),RooFit::Name("signal+background"));
TLegend *leg = new TLegend (0.7,0.6,0.95,0.8);
leg->AddEntry(kdframe1->findObject("pseudo"),"0-","L");
leg->AddEntry(kdframe1->findObject("SM"),"0+","L");
leg->AddEntry(kdframe1->findObject("bkg"),"bkg","L");
leg->AddEntry(kdframe1->findObject("signal_fa3p5"),"signal fa3=0.5","L");
leg->AddEntry(kdframe1->findObject("signal+background"),"signal + bkg","L");
kdframe1->Draw();
leg->SetFillColor(kWhite);
leg->Draw("same");
c->SaveAs("modelPlot_detBkg.eps");
c->SaveAs("modelPlot_detBkg.png");
//Load the trees into the datasets
TChain* myChain = new TChain("SelectedTree");
myChain->Add(inputFileNames[mySample]);
if(!myChain || myChain->GetEntries()<=0) {
cout<<"error in the tree"<<endl;
return 0;
}
RooDataSet* data = new RooDataSet("data","data",myChain,RooArgSet(*kd),"");
TChain* myChain_bkg = new TChain("SelectedTree");
myChain_bkg->Add("samples/analyticalpsMELA/withResolution/pwgevents_mllCut10_smeared_withDiscriminants_2e2mu_cutDetector.root");
myChain_bkg->Add("samples/analyticalpsMELA/withResolution/pwgevents_mllCut4_wResolution_withDiscriminants_cutDetector.root");
if(!myChain_bkg || myChain_bkg->GetEntries()<=0) {
cout<<"error in the tree"<<endl;
return 0;
}
RooDataSet* data_bkg = new RooDataSet("data_bkg","data_bkg",myChain_bkg,RooArgSet(*kd),"");
cout << "Number of events in data sig: " << data->numEntries() << endl;
cout << "Number of events in data bkg: " << data_bkg->numEntries() << endl;
// Initialize tree to save toys to
TTree* results = new TTree("results","toy results");
double fa3,fa3Error, fa3Pull;
double sigFrac,sigFracError, sigFracPull;
double significance;
results->Branch("fa3",&fa3,"fa3/D");
results->Branch("fa3Error",&fa3Error,"fa3Error/D");
results->Branch("fa3Pull",&fa3Pull,"fa3Pull/D");
results->Branch("sigFrac",&sigFrac,"sigFrac/D");
results->Branch("sigFracError",&sigFracError,"sigFracError/D");
results->Branch("sigFracPull",&sigFracPull,"sigFracPull/D");
results->Branch("significance",&significance,"significance/D");
//---------------------------------
RooDataSet* toyData;
RooDataSet* toyData_bkgOnly;
int embedTracker=nEvts*counter;
int embedTracker_bkg=TMath::Ceil(nEvts/3.75*counter);
RooArgSet *tempEvent;
RooFitResult *toyfitresults;
RooFitResult *toyfitresults_sigBkg;
RooFitResult *toyfitresults_bkgOnly;
RooRealVar *r_fa3;
RooRealVar *r_sigFrac;
for(int i = 0 ; i<nToys ; i++){
cout <<i<<"<-----------------------------"<<endl;
//if(toyData) delete toyData;
toyData = new RooDataSet("toyData","toyData",RooArgSet(*kd));
toyData_bkgOnly = new RooDataSet("toyData_bkgOnly","toyData_bkgOnly",RooArgSet(*kd));
if(nEvts+embedTracker > data->sumEntries()){
cout << "Playground::generate() - ERROR!!! Playground::data does not have enough events to fill toy!!!! bye :) " << endl;
toyData = NULL;
abort();
return 0;
}
if(nEvts+embedTracker_bkg > data_bkg->sumEntries()){
cout << "Playground::generate() - ERROR!!! Playground::data does not have enough events to fill toy!!!! bye :) " << endl;
toyData = NULL;
abort();
return 0;
}
for(int iEvent=0; iEvent<nEvts; iEvent++){
if(iEvent==1)
cout << "generating event: " << iEvent << " embedTracker: " << embedTracker << endl;
tempEvent = (RooArgSet*) data->get(embedTracker);
toyData->add(*tempEvent);
embedTracker++;
}
if(bkg){
for(int iEvent=0; iEvent<nEvts/3.75; iEvent++){
if(iEvent==1)
cout << "generating bkg event: " << iEvent << " embedTracker bkg: " << embedTracker_bkg << endl;
tempEvent = (RooArgSet*) data_bkg->get(embedTracker_bkg);
toyData->add(*tempEvent);
toyData_bkgOnly->add(*tempEvent);
embedTracker_bkg++;
}
}
if(bkg)
toyfitresults =model.fitTo(*toyData,Save());
else
toyfitresults =modelSignal.fitTo(*toyData,Save());
//cout<<toyfitresults<<endl;
r_fa3 = (RooRealVar *) toyfitresults->floatParsFinal().find("fa3");
fa3 = r_fa3->getVal();
fa3Error = r_fa3->getError();
fa3Pull = (r_fa3->getVal() - fa3Val) / r_fa3->getError();
if(sigFloating){
r_sigFrac = (RooRealVar *) toyfitresults->floatParsFinal().find("BoverTOT");
sigFrac = 1-r_sigFrac->getVal();
sigFracError = r_sigFrac->getError();
sigFracPull = (1-r_sigFrac->getVal() - sigFracVal) / r_sigFrac->getError();
}
// fill TTree
results->Fill();
}
char nEvtsString[100];
sprintf(nEvtsString,"_%iEvts_%iiter",nEvts, counter);
// write tree to output file (ouputFileName set at top)
TFile *outputFile = new TFile("embeddedToys1DKD_fa3Corr_WithBackgDetEffects_"+sampleName[mySample]+nEvtsString+".root","RECREATE");
results->Write();
outputFile->Close();
}
int main(int argc, char *argv[]){
OptionParser(argc,argv);
RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR);
RooMsgService::instance().setSilentMode(true);
system(Form("mkdir -p %s",outdir_.c_str()));
vector<string> procs;
split(infilenames_,infilenamesStr_,boost::is_any_of(","));
TPython::Exec("import os,imp,re");
const char * env = gSystem->Getenv("CMSSW_BASE") ;
std::string globeRt = env;
TPython::Exec(Form("buildSMHiggsSignalXSBR = imp.load_source('*', '%s/src/flashggFinalFit/Signal/python/buildSMHiggsSignalXSBR.py')",globeRt.c_str()));
TPython::Eval(Form("buildSMHiggsSignalXSBR.Init%dTeV()", 13));
for (unsigned int i =0 ; i<infilenames_.size() ; i++){
int mH =(int) TPython::Eval(Form("int(re.search('_M(.+?)_','%s').group(1))",infilenames_[i].c_str()));
double WH_XS = (double)TPython::Eval(Form("buildSMHiggsSignalXSBR.getXS(%d,'%s')",mH,"WH"));
double ZH_XS = (double)TPython::Eval(Form("buildSMHiggsSignalXSBR.getXS(%d,'%s')",mH,"ZH"));
float tot_XS = WH_XS + ZH_XS;
float wFrac= WH_XS /tot_XS ;
float zFrac= ZH_XS /tot_XS ;
std::cout << "mass "<< mH << " wh fraction "<< WH_XS /tot_XS << ", zh fraction "<< ZH_XS /tot_XS <<std::endl;
TFile *infile = TFile::Open(infilenames_[i].c_str());
string outname =(string) TPython::Eval(Form("'%s'.split(\"/\")[-1].replace(\"VH\",\"WH_VH\")",infilenames_[i].c_str()));
TFile *outfile = TFile::Open(outname.c_str(),"RECREATE") ;
TDirectory* saveDir = outfile->mkdir("tagsDumper");
saveDir->cd();
RooWorkspace *inWS = (RooWorkspace*) infile->Get("tagsDumper/cms_hgg_13TeV");
RooRealVar *intLumi = (RooRealVar*)inWS->var("IntLumi");
RooWorkspace *outWS = new RooWorkspace("cms_hgg_13TeV");
outWS->import(*intLumi);
std::list<RooAbsData*> data = (inWS->allData()) ;
std::cout <<" [INFO] Reading WS dataset contents: "<< std::endl;
for (std::list<RooAbsData*>::const_iterator iterator = data.begin(), end = data.end(); iterator != end; ++iterator ) {
RooDataSet *dataset = dynamic_cast<RooDataSet *>( *iterator );
if (dataset) {
string zhname =(string) TPython::Eval(Form("'%s'.replace(\"wzh\",\"zh\")",dataset->GetName()));
string whname =(string) TPython::Eval(Form("'%s'.replace(\"wzh\",\"wh\")",dataset->GetName()));
RooDataSet *datasetZH = (RooDataSet*) dataset->emptyClone(zhname.c_str(),zhname.c_str());
RooDataSet *datasetWH = (RooDataSet*) dataset->emptyClone(whname.c_str(),whname.c_str());
TRandom3 r;
r.Rndm();
double x[dataset->numEntries()];
r.RndmArray(dataset->numEntries(),x);
for (int j =0; j < dataset->numEntries() ; j++){
if( x[j] < wFrac){
dataset->get(j);
datasetWH->add(*(dataset->get(j)),dataset->weight());
} else{
dataset->get(j);
datasetZH->add(*(dataset->get(j)),dataset->weight());
}
}
float w =datasetWH->sumEntries();
float z =datasetZH->sumEntries();
if(verbose_){
std::cout << "Original dataset " << *dataset <<std::endl;
std::cout << "WH dataset " << *datasetWH <<std::endl;
std::cout << "ZH dataset " << *datasetZH <<std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "WH fraction (obs) : WH " << w/(w+z) <<", ZH "<< z/(w+z) << std::endl;
std::cout << "WH fraction (exp) : WH " << wFrac <<", ZH "<< zFrac << std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "********************************************" <<std::endl;
}
outWS->import(*datasetWH);
outWS->import(*datasetZH);
}
RooDataHist *datahist = dynamic_cast<RooDataHist *>( *iterator );
if (datahist) {
string zhname =(string) TPython::Eval(Form("'%s'.replace(\"wzh\",\"zh\")",datahist->GetName()));
string whname =(string) TPython::Eval(Form("'%s'.replace(\"wzh\",\"wh\")",datahist->GetName()));
RooDataHist *datahistZH = (RooDataHist*) datahist->emptyClone(zhname.c_str(),zhname.c_str());
RooDataHist *datahistWH = (RooDataHist*) datahist->emptyClone(whname.c_str(),whname.c_str());
TRandom3 r;
r.Rndm();
double x[datahist->numEntries()];
r.RndmArray(datahist->numEntries(),x);
for (int j =0; j < datahist->numEntries() ; j++){
datahistWH->add(*(datahist->get(j)),datahist->weight()*wFrac);
datahistZH->add(*(datahist->get(j)),datahist->weight()*zFrac);
}
float w =datahistWH->sumEntries();
float z =datahistZH->sumEntries();
if(verbose_){
std::cout << "Original datahist " << *datahist <<std::endl;
std::cout << "WH datahist " << *datahistWH <<std::endl;
std::cout << "ZH datahist " << *datahistZH <<std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "WH fraction (obs) : WH " << w/(w+z) <<", ZH "<< z/(w+z) << std::endl;
std::cout << "WH fraction (exp) : WH " << wFrac <<", ZH "<< zFrac << std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "********************************************" <<std::endl;
}
outWS->import(*datahistWH);
outWS->import(*datahistZH);
}
}
saveDir->cd();
outWS->Write();
outfile->Close();
infile->Close();
}
}
void FitterUtils::prepare_PDFs(string trigStr, string BDTVar, double BDTcut,
string signalfile, string partrecofile, string combfile, string JpsiLeakfile,
double minBMass, double maxBMass,
string signaltree, string partrecotree, string combtree, string JpsiLeaktree)
{
//***********Get the datasets
TFile* fSignal = new TFile(signalfile.c_str());
TTree* tSignal = (TTree*)fSignal->Get(signaltree.c_str());
TFile* fPartReco = new TFile(partrecofile.c_str());
TTree* tPartReco = (TTree*)fPartReco->Get(partrecotree.c_str());
TFile* fComb = new TFile(combfile.c_str());
TTree* tComb = (TTree*)fComb->Get(combtree.c_str());
TFile* fJpsiLeak = new TFile(JpsiLeakfile.c_str());
TTree* tJpsiLeak = (TTree*)fJpsiLeak->Get(JpsiLeaktree.c_str());
//**********Define variables
RooRealVar trigVar(trigStr.c_str(), trigStr.c_str(), -10, 10);
RooRealVar BDTRooRealVar(BDTVar.c_str(), BDTVar.c_str(), -1,1);
RooRealVar B_plus_M("B_plus_M", "M_{visible}", minBMass, maxBMass, "MeV");
RooRealVar misPT("misPT", "p_{#perp}", 0, 5000, "MeV");
RooRealVar B_plus_DTFM_M_zero("B_plus_DTFM_M_zero", "M_{constr}", 0, 20000, "MeV");
RooRealVar e_plus_BremMultiplicity("e_plus_BremMultiplicity","e_plus_BremMultiplicity", -1,2);
RooRealVar e_minus_BremMultiplicity("e_minus_BremMultiplicity","e_minus_BremMultiplicity", -1,2);
RooRealVar weightPartReco("weightPartReco", "weightPartReco", 0, 10);
RooRealVar weightLeakage("weightLeakage", "weightLeakage", 0, 10);
RooRealVar dataMCWeightee("DataMCWeightee", "DataMCWeightee",0, 30);
//***********Set only variables needed
tSignal->SetBranchStatus("*", 0); tSignal->SetBranchStatus("B_plus_M", 1); tSignal->SetBranchStatus("misPT", 1); tSignal->SetBranchStatus("B_plus_DTFM_M_zero", 1); tSignal->SetBranchStatus(BDTVar.c_str(),1);
tSignal->SetBranchStatus("e_plus_BremMultiplicity", 1); tSignal->SetBranchStatus("e_minus_BremMultiplicity", 1); tSignal->SetBranchStatus(trigStr.c_str()); tSignal->SetBranchStatus("DataMCWeightee",1);
tPartReco->SetBranchStatus("*", 0); tPartReco->SetBranchStatus("B_plus_M", 1); tPartReco->SetBranchStatus("misPT", 1); tPartReco->SetBranchStatus("B_plus_DTFM_M_zero", 1);tPartReco->SetBranchStatus(BDTVar.c_str(),1);
tPartReco->SetBranchStatus("e_plus_BremMultiplicity", 1); tPartReco->SetBranchStatus("e_minus_BremMultiplicity", 1); tPartReco->SetBranchStatus(trigStr.c_str()); tPartReco->SetBranchStatus("weightPartReco",1);
tComb->SetBranchStatus("*", 0); tComb->SetBranchStatus("B_plus_M", 1); tComb->SetBranchStatus("misPT", 1); tComb->SetBranchStatus("B_plus_DTFM_M_zero", 1);tComb->SetBranchStatus(BDTVar.c_str(),1);
tComb->SetBranchStatus("e_plus_BremMultiplicity", 1); tComb->SetBranchStatus("e_minus_BremMultiplicity", 1); tComb->SetBranchStatus(trigStr.c_str());
tJpsiLeak->SetBranchStatus("*", 0); tJpsiLeak->SetBranchStatus("B_plus_M", 1); tJpsiLeak->SetBranchStatus("misPT", 1);
tJpsiLeak->SetBranchStatus("B_plus_DTFM_M_zero", 1);tJpsiLeak->SetBranchStatus(BDTVar.c_str(),1);
tJpsiLeak->SetBranchStatus("e_plus_BremMultiplicity", 1); tJpsiLeak->SetBranchStatus("e_minus_BremMultiplicity", 1); tJpsiLeak->SetBranchStatus(trigStr.c_str());
tJpsiLeak->SetBranchStatus("weightLeakage",1);
//***********Set Binning
RooBinning defaultMBins(floor((maxBMass-minBMass)/(40.)), B_plus_M.getMin(), B_plus_M.getMax() );
RooBinning defaultMisPTBins(floor(40), misPT.getMin(), misPT.getMax());
RooBinning broaderMBins(floor((maxBMass-minBMass)/(80.)), B_plus_M.getMin(), B_plus_M.getMax());
RooBinning broaderMisPTBins(floor(40), misPT.getMin(), misPT.getMax());
B_plus_M.setBinning( defaultMBins);
misPT.setBinning( defaultMisPTBins );
B_plus_M.setBinning( broaderMBins, "broaderBins");
misPT.setBinning( broaderMisPTBins, "broaderBins" );
B_plus_DTFM_M_zero.setBins(100);
RooArgSet argset(BDTRooRealVar, B_plus_DTFM_M_zero, misPT, B_plus_M, trigVar, e_plus_BremMultiplicity, e_minus_BremMultiplicity);
RooArgSet argsetPartReco(BDTRooRealVar, B_plus_DTFM_M_zero, misPT, B_plus_M, trigVar, e_plus_BremMultiplicity, e_minus_BremMultiplicity, weightPartReco);
RooArgSet argsetLeakage(BDTRooRealVar, B_plus_DTFM_M_zero, misPT, B_plus_M, trigVar, e_plus_BremMultiplicity, e_minus_BremMultiplicity, weightLeakage);
RooArgSet argsetSignal(BDTRooRealVar, B_plus_DTFM_M_zero, misPT, B_plus_M, trigVar, e_plus_BremMultiplicity, e_minus_BremMultiplicity, dataMCWeightee);
cout<<"getting the datasets:"<<endl;
RooDataSet* dataSetSignalZeroGamma;
RooDataSet* dataSetSignalOneGamma;
RooDataSet* dataSetSignalTwoGamma;
RooDataSet* dataSetPartReco;
RooDataSet* dataSetJpsiLeak;
RooDataSet* dataSetComb;
TFile* fw(NULL);
string BDTCutString( ("("+BDTVar+">"+d2s(BDTcut)+")").c_str() );
dataSetSignalZeroGamma = new RooDataSet("dataSetSignalZeroGamma", "dataSetSignalZeroGamma", argsetSignal, Import(*tSignal), Cut(( " ("+trigStr+" > 0.9) && "+BDTCutString+" && ((e_plus_BremMultiplicity+e_minus_BremMultiplicity) > -0.5) && ((e_plus_BremMultiplicity+e_minus_BremMultiplicity) < 0.5) && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str()), WeightVar("DataMCWeightee") );
dataSetSignalOneGamma = new RooDataSet("dataSetSignalOneGamma", "dataSetSignalOneGamma", argsetSignal, Import(*tSignal), Cut(( " ("+trigStr+" > 0.9) && "+BDTCutString+" && ((e_plus_BremMultiplicity+e_minus_BremMultiplicity) > 0.5) && ((e_plus_BremMultiplicity+e_minus_BremMultiplicity) < 1.5) && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str()), WeightVar("DataMCWeightee") );
dataSetSignalTwoGamma = new RooDataSet("dataSetSignalTwoGamma", "dataSetSignalTwoGamma", argsetSignal, Import(*tSignal), Cut(( " ("+trigStr+" > 0.9) && "+BDTCutString+" && ((e_plus_BremMultiplicity+e_minus_BremMultiplicity) > 1.5) && ((e_plus_BremMultiplicity+e_minus_BremMultiplicity) < 2.5) && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str()), WeightVar("DataMCWeightee") );
dataSetPartReco = new RooDataSet("dataSetPartReco", "dataSetPartReco", argsetPartReco, Import(*tPartReco),Cut(("("+trigStr+" > 0.9) && "+BDTCutString+ " && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str()), WeightVar("weightPartReco"));
dataSetJpsiLeak = new RooDataSet("dataSetJpsiLeak", "dataSetJpsiLeak", argsetLeakage, Import(*tJpsiLeak),Cut(("B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str()), WeightVar("weightLeakage"));
// dataSetComb = new RooDataSet("dataSetComb", "dataSetComb", tComb, argset, ("("+trigStr+" > 0.9) && (UBDT3R > "+d2s(BDTcut-0.03)+") && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str());
dataSetComb = new RooDataSet("dataSetComb", "dataSetComb", tComb, argset, ("("+trigStr+" > 0.9) && "+BDTCutString+" && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str());
cout<<"Number of zero: "<< dataSetSignalZeroGamma->sumEntries()<<endl;
cout<<"Number of one: "<< dataSetSignalOneGamma->sumEntries()<<endl;
cout<<"Number of two: "<< dataSetSignalTwoGamma->sumEntries()<<endl;
cout<<"Number of PartReco: "<< dataSetPartReco->sumEntries()<<endl;
cout<<"Number of Jpsi leaking:"<< dataSetJpsiLeak->sumEntries()<<endl;
cout<<"Number of combinatorial events:"<< dataSetComb->sumEntries()<<endl;
cout<<"binning the datasets:"<<endl;
RooArgSet argset2(B_plus_M);
if (fit2D) argset2.add(misPT);
RooDataHist dataHistSignalZeroGamma("dataHistSignalZeroGamma", "dataHistSignalZeroGamma", argset2, *dataSetSignalZeroGamma);
RooDataHist dataHistSignalOneGamma("dataHistSignalOneGamma", "dataHistSignalOneGamma", argset2, *dataSetSignalOneGamma);
RooDataHist dataHistSignalTwoGamma("dataHistSignalTwoGamma", "dataHistSignalTwoGamma", argset2, *dataSetSignalTwoGamma);
RooDataHist dataHistComb("dataHistComb", "dataHistComb", argset2, *dataSetComb);
RooDataHist dataHistPartReco("dataHistPartReco", "dataHistPartReco", argset2, *dataSetPartReco);
RooDataHist dataHistJpsiLeak("dataHistJpsiLeak", "dataHistJpsiLeak", argset2, "broaderBins");
dataHistJpsiLeak.add(*dataSetJpsiLeak);
//*************** Compute Error on J/psi leak
double ErrorJpsi(0);
if(dataSetJpsiLeak->sumEntries(("("+trigStr+" > 0.9) && "+BDTCutString+" && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str()) > 0) ErrorJpsi = 1./sqrt(dataSetJpsiLeak->sumEntries(("("+trigStr+" > 0.9) && "+BDTCutString+" && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str()));
RooRealVar fractionalErrorJpsiLeak("fractionalErrorJpsiLeak", "fractionalErrorJpsiLeak", ErrorJpsi);
cout<<"JPSI LEAK: "<<dataSetJpsiLeak->sumEntries(("("+trigStr+" > 0.9) && "+BDTCutString+" && B_plus_M > "+d2s(minBMass)+" && B_plus_M < "+d2s(maxBMass)).c_str());
cout<<"JPSI LEAK fractional Error: "<<ErrorJpsi<<endl;
//***************Create 2D histogram estimates from data
cout<<"Preparing the 3 2D histPdf: 1";
// RooArgSet argset2(B_plus_M);
RooHistPdf histPdfSignalZeroGamma("histPdfSignalZeroGamma", "histPdfSignalZeroGamma", argset2, dataHistSignalZeroGamma,2); cout<<" 2";
RooHistPdf histPdfSignalOneGamma("histPdfSignalOneGamma", "histPdfSignalOneGamma", argset2, dataHistSignalOneGamma,2); cout<<" 3";
RooHistPdf histPdfSignalTwoGamma("histPdfSignalTwoGamma", "histPdfSignalTwoGamma", argset2, dataHistSignalTwoGamma,2); cout<<" 4";
RooHistPdf histPdfPartReco("histPdfPartReco", "histPdfPartReco", argset2, dataHistPartReco,2); cout<<" 5";
RooHistPdf histPdfJpsiLeak("histPdfJpsiLeak", "histPdfJpsiLeak", argset2, dataHistJpsiLeak,2); cout<<" 6";
//***************Create combinatorial from fit to data
RooRealVar expoConst("expoConst", "expoConst", -1e-3, -1, 1);
RooRealVar T("T", "T", 97, 0, 200);
RooRealVar n("n", "n", 3.5, 1., 5.5);
RooAbsPdf *combPDF;
if (fit2D)
{
combPDF = new RooPTMVis("PTMVis", "PTMVis", misPT, B_plus_M, T, n, expoConst);
}
else
{
combPDF = new RooExponential("histPdfComb", "histPdfComb", B_plus_M, expoConst);
}
combPDF->fitTo(*dataSetComb); //
if (fit2D)
{
T.setConstant(true);
n.setConstant(true);
std::cout<<"T generated is: "<<T.getVal()<<std::endl;
}
RooRealVar trueExp("trueExp","trueExp", expoConst.getVal(), -1000, 1000);
trueExp.setError(expoConst.getError());
RooRealVar trueT("trueT","trueT", T.getVal(), -1000, 1000);
trueT.setError(T.getError());
RooRealVar trueN("trueN","trueN", n.getVal(), -1000, 1000);
trueN.setError(n.getError());
//***************Save everything on a workspace
RooWorkspace workspace("workspace", "workspace");
workspace.import(B_plus_DTFM_M_zero);
workspace.import(B_plus_M);
workspace.import(misPT);
workspace.import(expoConst);
workspace.import(trueExp);
workspace.import(T);
workspace.import(n);
workspace.import(*dataSetSignalZeroGamma);
workspace.import(*dataSetSignalOneGamma);
workspace.import(*dataSetSignalTwoGamma);
workspace.import(*dataSetPartReco);
workspace.import(*dataSetComb);
workspace.import(*dataSetJpsiLeak);
workspace.import(histPdfSignalZeroGamma);
workspace.import(histPdfSignalOneGamma);
workspace.import(histPdfSignalTwoGamma);
workspace.import(histPdfPartReco);
workspace.import(histPdfJpsiLeak);
workspace.import(fractionalErrorJpsiLeak);
workspace.import(trueT);
workspace.import(trueN);
workspace.writeToFile(workspacename.c_str());
delete fComb;
delete fSignal;
delete fPartReco;
if(fw!=0 && fw != NULL) delete fw;
delete combPDF;
delete dataSetSignalZeroGamma;
delete dataSetSignalOneGamma;
delete dataSetSignalTwoGamma;
delete dataSetPartReco;
delete dataSetJpsiLeak;
delete dataSetComb;
}
void angularDistributions_spin0(int plotIndex=0, int binning=80){
gROOT->ProcessLine(".L ../PDFs/RooXZsZs_5D.cxx+");
gROOT->ProcessLine(".L ../PDFs/RooSpinOne_7D.cxx+");
gROOT->ProcessLine(".L ../PDFs/RooSpinTwo_7D.cxx+");
gROOT->ProcessLine(".L ../src/AngularPdfFactory.cc+");
gROOT->ProcessLine(".L ../src/ScalarPdfFactory.cc+");
gROOT->ProcessLine(".L ../src/VectorPdfFactory.cc+");
gROOT->ProcessLine(".L ../src/TensorPdfFactory.cc+");
gROOT->ProcessLine(".L ~/tdrstyle.C");
setTDRStyle();
// observables
RooRealVar* z1mass = new RooRealVar("z1mass","m_{1} [GeV]",40,110);
RooRealVar* z2mass = new RooRealVar("z2mass","m_{2} [GeV]",1e-09,65);
RooRealVar* hs = new RooRealVar("costhetastar","cos#theta*",-1,1);
RooRealVar* h1 = new RooRealVar("costheta1","cos#theta_{1}",-1,1);
RooRealVar* h2 = new RooRealVar("costheta2","cos#theta_{2}",-1,1);
RooRealVar* Phi = new RooRealVar("phi","#Phi",-TMath::Pi(),TMath::Pi());
RooRealVar* Phi1 = new RooRealVar("phistar1","#Phi_{1}",-TMath::Pi(),TMath::Pi());
vector<RooRealVar*> measureables;
measureables.push_back(z1mass);
measureables.push_back(z2mass);
measureables.push_back(hs);
measureables.push_back(h1);
measureables.push_back(h2);
measureables.push_back(Phi);
measureables.push_back(Phi1);
RooRealVar* mzz = new RooRealVar("mzz","mzz",125,100,1000);
ScalarPdfFactory* SMHiggs = new ScalarPdfFactory(z1mass,z2mass,h1,h2,Phi,mzz);
SMHiggs->makeSMHiggs();
SMHiggs->makeParamsConst(true);
ScalarPdfFactory* PSHiggs = new ScalarPdfFactory(z1mass,z2mass,h1,h2,Phi,mzz);
PSHiggs->makePSHiggs();
PSHiggs->makeParamsConst(true);
ScalarPdfFactory* LGHiggs = new ScalarPdfFactory(z1mass,z2mass,h1,h2,Phi,mzz);
LGHiggs->makeLGHiggs();
LGHiggs->makeParamsConst(true);
ScalarPdfFactory* A2Higgs = new ScalarPdfFactory(z1mass,z2mass,h1,h2,Phi,mzz);
A2Higgs->makeCustom(0.0,1.0,0.0,0.0,0.0,0.0);
A2Higgs->makeParamsConst(true);
TChain* treeSM = new TChain("angles");
treeSM->Add("/scratch0/hep/whitbeck/OLDHOME/4lHelicity/generatorJHU_V02-01-00/SMHiggs_store/SMHiggs_125GeV.root");
RooDataSet* dataSM = new RooDataSet("dataSM","dataSM",treeSM,RooArgSet(*z1mass,*z2mass,*hs,*h1,*h2,*Phi,*Phi1));
TChain* treePS = new TChain("angles");
treePS->Add("/scratch0/hep/whitbeck/OLDHOME/4lHelicity/generatorJHU_V02-01-00/psScalar_store/psScalar_125GeV.root");
RooDataSet* data = new RooDataSet("dataPS","dataPS",treePS,RooArgSet(*z1mass,*z2mass,*hs,*h1,*h2,*Phi,*Phi1));
TChain* treeLG = new TChain("angles");
treeLG->Add("/scratch0/hep/whitbeck/OLDHOME/4lHelicity/generatorJHU_V02-01-00/0hPlus_store/0hPlus_125GeV.root");
RooDataSet* dataLG = new RooDataSet("dataLG","dataLG",treeLG,RooArgSet(*z1mass,*z2mass,*hs,*h1,*h2,*Phi,*Phi1));
double normFix;
if( ! strcmp( measureables[plotIndex]->GetName() , "phistar1" ) ) normFix=.001/(2.*3.1415);
else if( ! strcmp( measureables[plotIndex]->GetName() , "costhetastar" ) ) normFix=.001/2.0;
else normFix=.001;
RooPlot* plot = measureables[plotIndex]->frame(binning);
plot->GetXaxis()->CenterTitle();
plot->GetYaxis()->CenterTitle();
plot->GetYaxis()->SetTitle(" ");
plot->GetXaxis()->SetNdivisions(-505);
cout << 1./dataSM->sumEntries() << endl;
double rescale=(double)(1./dataSM->sumEntries());
dataSM->plotOn(plot,MarkerColor(kRed),MarkerStyle(4),MarkerSize(1.5),LineWidth(0),XErrorSize(0),Rescale(.001),DataError(RooAbsData::None));
SMHiggs.PDF->plotOn(plot,LineColor(kRed),LineWidth(2),Normalization( normFix ));
cout << 1./dataPS->sumEntries() << endl;
rescale=(double)(1./dataPS->sumEntries());
dataPS->plotOn(plot,MarkerColor(kBlue),MarkerStyle(27),MarkerSize(1.9),XErrorSize(0),Rescale(.001),DataError(RooAbsData::None));
PSHiggs.PDF->plotOn(plot,LineColor(kBlue),LineWidth(2),Normalization( normFix ));
cout << 1./dataLG->sumEntries() << endl;
rescale=(double)(1./dataLG->sumEntries());
dataLG->plotOn(plot,MarkerColor(kGreen+3),MarkerStyle(25),MarkerSize(1.5),XErrorSize(0),Rescale(.001),DataError(RooAbsData::None));
LGHiggs.PDF->plotOn(plot,LineColor(kGreen+3),LineWidth(2),Normalization( normFix ));
TGaxis::SetMaxDigits(3);
TCanvas* can =new TCanvas("can","can",600,600);
gStyle->SetPadLeftMargin(0.05);
char temp[150];
sprintf(temp,"%s>>SM_histo(%i,%i,%i)",measureables[plotIndex]->GetName(),binning,(int)measureables[plotIndex]->getMin(),(int)measureables[plotIndex]->getMin());
treeSM->Draw(temp);
TH1F* SM_histo = (TH1F*) gDirectory->Get("SM_histo");
sprintf(temp,"%s>>PS_histo(%i,%i,%i)",measureables[plotIndex]->GetName(),binning,(int)measureables[plotIndex]->getMin(),(int)measureables[plotIndex]->getMin());
treePS->Draw(temp);
TH1F* PS_histo = (TH1F*) gDirectory->Get("PS_histo");
sprintf(temp,"%s>>LG_histo(%i,%i,%i)",measureables[plotIndex]->GetName(),binning,(int)measureables[plotIndex]->getMin(),(int)measureables[plotIndex]->getMin());
treeLG->Draw(temp);
TH1F* LG_histo = (TH1F*) gDirectory->Get("LG_histo");
if(!strcmp(measureables[plotIndex]->GetName(),"z1mass"))
plot->GetYaxis()->SetRangeUser(0,max(max(LG_histo->GetMaximum(),PS_histo->GetMaximum()),SM_histo->GetMaximum())*.8/1000.);
else
plot->GetYaxis()->SetRangeUser(0,max(max(LG_histo->GetMaximum(),PS_histo->GetMaximum()),SM_histo->GetMaximum())*1.3/1000.);
//cout << "max range: " << max(max(LG_histo->GetMaximum(),PS_histo->GetMaximum()),SM_histo->GetMaximum())*.8/1000. << endl;
plot->Draw();
char temp[150];
sprintf(temp,"epsfiles/%s_125GeV_spin0_3in1.eps",measureables[plotIndex]->GetName());
can->SaveAs(temp);
sprintf(temp,"pngfiles/%s_125GeV_spin0_3in1.png",measureables[plotIndex]->GetName());
can->SaveAs(temp);
delete SMHiggs;
delete PSHiggs;
delete LGHiggs;
}
void forData(string channel, string catcut, bool removeMinor=true){
// Suppress all the INFO message
RooMsgService::instance().setGlobalKillBelow(RooFit::WARNING);
// Input files and sum all backgrounds
TChain* treeData = new TChain("tree");
TChain* treeZjets = new TChain("tree");
if( channel == "ele" ){
treeData->Add(Form("%s/data/SingleElectron-Run2015D-05Oct2015-v1_toyMCnew.root", channel.data()));
treeData->Add(Form("%s/data/SingleElectron-Run2015D-PromptReco-V4_toyMCnew.root", channel.data()));
}
else if( channel == "mu" ){
treeData->Add(Form("%s/data/SingleMuon-Run2015D-05Oct2015-v1_toyMCnew.root", channel.data()));
treeData->Add(Form("%s/data/SingleMuon-Run2015D-PromptReco-V4_toyMCnew.root", channel.data()));
}
else return;
treeZjets->Add(Form("%s/Zjets/DYJetsToLL_M-50_HT-100to200_13TeV_toyMCnew.root", channel.data()));
treeZjets->Add(Form("%s/Zjets/DYJetsToLL_M-50_HT-200to400_13TeV_toyMCnew.root", channel.data()));
treeZjets->Add(Form("%s/Zjets/DYJetsToLL_M-50_HT-400to600_13TeV_toyMCnew.root", channel.data()));
treeZjets->Add(Form("%s/Zjets/DYJetsToLL_M-50_HT-600toInf_13TeV_toyMCnew.root", channel.data()));
// To remove minor background contribution in data set (weight is -1)
if( removeMinor ){
treeData->Add(Form("%s/VV/WW_TuneCUETP8M1_13TeV_toyMCnew.root", channel.data()));
treeData->Add(Form("%s/VV/WZ_TuneCUETP8M1_13TeV_toyMCnew.root", channel.data()));
treeData->Add(Form("%s/VV/ZZ_TuneCUETP8M1_13TeV_toyMCnew.root", channel.data()));
treeData->Add(Form("%s/TT/TT_TuneCUETP8M1_13TeV_toyMCnew.root", channel.data()));
}
// Define all the variables from the trees
RooRealVar cat ("cat", "", 0, 2);
RooRealVar mJet("prmass", "M_{jet}", 30., 300., "GeV");
RooRealVar mZH ("mllbb", "M_{ZH}", 900., 3000., "GeV");
RooRealVar evWeight("evweight", "", -1.e3, 1.e3);
// Set the range in jet mass
mJet.setRange("allRange", 30., 300.);
mJet.setRange("lowSB", 30., 65.);
mJet.setRange("highSB", 135., 300.);
mJet.setRange("signal", 105., 135.);
RooBinning binsmJet(54, 30, 300);
RooArgSet variables(cat, mJet, mZH, evWeight);
TCut catCut = Form("cat==%s", catcut.c_str());
TCut sbCut = "prmass>30 && !(prmass>65 && prmass<135) && prmass<300";
TCut sigCut = "prmass>105 && prmass<135";
// Create a dataset from a tree -> to process an unbinned likelihood fitting
RooDataSet dataSetData ("dataSetData", "dataSetData", variables, Cut(catCut), WeightVar(evWeight), Import(*treeData));
RooDataSet dataSetDataSB ("dataSetDataSB", "dataSetDataSB", variables, Cut(catCut && sbCut), WeightVar(evWeight), Import(*treeData));
RooDataSet dataSetZjets ("dataSetZjets", "dataSetZjets", variables, Cut(catCut), WeightVar(evWeight), Import(*treeZjets));
RooDataSet dataSetZjetsSB("dataSetZjetsSB", "dataSetZjetsSB", variables, Cut(catCut && sbCut), WeightVar(evWeight), Import(*treeZjets));
RooDataSet dataSetZjetsSG("dataSetZjetsSG", "dataSetZjetsSG", variables, Cut(catCut && sigCut), WeightVar(evWeight), Import(*treeZjets));
// Total events number
float totalMcEv = dataSetZjetsSB.sumEntries() + dataSetZjetsSG.sumEntries();
float totalDataEv = dataSetData.sumEntries();
RooRealVar nMcEvents("nMcEvents", "nMcEvents", 0., 99999.);
RooRealVar nDataEvents("nDataEvents", "nDataEvents", 0., 99999.);
nMcEvents.setVal(totalMcEv);
nMcEvents.setConstant(true);
nDataEvents.setVal(totalDataEv);
nDataEvents.setConstant(true);
// Signal region jet mass
RooRealVar constant("constant", "constant", -0.02, -1., 0.);
RooRealVar offset ("offset", "offset", 30., -50., 200.);
RooRealVar width ("width", "width", 100., 0., 200.);
if( catcut == "1" ) offset.setConstant(true);
RooErfExpPdf model_mJet("model_mJet", "model_mJet", mJet, constant, offset, width);
RooExtendPdf ext_model_mJet("ext_model_mJet", "ext_model_mJet", model_mJet, nMcEvents);
RooFitResult* mJet_result = ext_model_mJet.fitTo(dataSetZjets, SumW2Error(true), Extended(true), Range("allRange"), Strategy(2), Minimizer("Minuit2"), Save(1));
// Side band jet mass
RooRealVar constantSB("constantSB", "constantSB", constant.getVal(), -1., 0.);
RooRealVar offsetSB ("offsetSB", "offsetSB", offset.getVal(), -50., 200.);
RooRealVar widthSB ("widthSB", "widthSB", width.getVal(), 0., 200.);
offsetSB.setConstant(true);
RooErfExpPdf model_mJetSB("model_mJetSB", "model_mJetSB", mJet, constantSB, offsetSB, widthSB);
RooExtendPdf ext_model_mJetSB("ext_model_mJetSB", "ext_model_mJetSB", model_mJetSB, nMcEvents);
RooFitResult* mJetSB_result = ext_model_mJetSB.fitTo(dataSetZjetsSB, SumW2Error(true), Extended(true), Range("lowSB,highSB"), Strategy(2), Minimizer("Minuit2"), Save(1));
RooAbsReal* nSIGFit = ext_model_mJetSB.createIntegral(RooArgSet(mJet), NormSet(mJet), Range("signal"));
float normFactor = nSIGFit->getVal() * totalMcEv;
// Plot the results on a frame
RooPlot* mJetFrame = mJet.frame();
dataSetZjetsSB. plotOn(mJetFrame, Binning(binsmJet));
ext_model_mJetSB.plotOn(mJetFrame, Range("allRange"), VisualizeError(*mJetSB_result), FillColor(kYellow));
dataSetZjetsSB. plotOn(mJetFrame, Binning(binsmJet));
ext_model_mJetSB.plotOn(mJetFrame, Range("allRange"));
mJetFrame->SetTitle("M_{jet} distribution in Z+jets MC");
// Alpha ratio part
mZH.setRange("fullRange", 900., 3000.);
RooBinning binsmZH(21, 900, 3000);
RooRealVar a("a", "a", 0., -1., 1.);
RooRealVar b("b", "b", 1000, 0., 4000.);
RooGenericPdf model_ZHSB("model_ZHSB", "model_ZHSB", "TMath::Exp(@1*@0+@2/@0)", RooArgSet(mZH,a,b));
RooGenericPdf model_ZHSG("model_ZHSG", "model_ZHSG", "TMath::Exp(@1*@0+@2/@0)", RooArgSet(mZH,a,b));
RooGenericPdf model_ZH ("model_ZH", "model_ZH", "TMath::Exp(@1*@0+@2/@0)", RooArgSet(mZH,a,b));
RooExtendPdf ext_model_ZHSB("ext_model_ZHSB", "ext_model_ZHSB", model_ZHSB, nMcEvents);
RooExtendPdf ext_model_ZHSG("ext_model_ZHSG", "ext_model_ZHSG", model_ZHSG, nMcEvents);
RooExtendPdf ext_model_ZH ("ext_model_ZH", "ext_model_ZH", model_ZH, nDataEvents);
// Fit ZH mass in side band
RooFitResult* mZHSB_result = ext_model_ZHSB.fitTo(dataSetZjetsSB, SumW2Error(true), Extended(true), Range("fullRange"), Strategy(2), Minimizer("Minuit2"), Save(1));
float p0 = a.getVal();
float p1 = b.getVal();
// Fit ZH mass in signal region
RooFitResult* mZHSG_result = ext_model_ZHSG.fitTo(dataSetZjetsSG, SumW2Error(true), Extended(true), Range("fullRange"), Strategy(2), Minimizer("Minuit2"), Save(1));
float p2 = a.getVal();
float p3 = b.getVal();
// Fit ZH mass in side band region (data)
RooFitResult* mZH_result = ext_model_ZH.fitTo(dataSetDataSB, SumW2Error(true), Extended(true), Range("fullRange"), Strategy(2), Minimizer("Minuit2"), Save(1));
// Draw the model of alpha ratio
// Multiply the model of background in data side band with the model of alpha ratio to the a model of background in data signal region
RooGenericPdf model_alpha("model_alpha", "model_alpha", Form("TMath::Exp(%f*@0+%f/@0)/TMath::Exp(%f*@0+%f/@0)", p2,p3,p0,p1), RooArgSet(mZH));
RooProdPdf model_sigData("model_sigData", "ext_model_ZH*model_alpha", RooArgList(ext_model_ZH,model_alpha));
// Plot the results to a frame
RooPlot* mZHFrameMC = mZH.frame();
dataSetZjetsSB.plotOn(mZHFrameMC, Binning(binsmZH));
ext_model_ZHSB.plotOn(mZHFrameMC, VisualizeError(*mZHSB_result), FillColor(kYellow));
dataSetZjetsSB.plotOn(mZHFrameMC, Binning(binsmZH));
ext_model_ZHSB.plotOn(mZHFrameMC, LineStyle(7), LineColor(kBlue));
dataSetZjetsSG.plotOn(mZHFrameMC, Binning(binsmZH));
ext_model_ZHSG.plotOn(mZHFrameMC, VisualizeError(*mZHSG_result), FillColor(kYellow));
dataSetZjetsSG.plotOn(mZHFrameMC, Binning(binsmZH));
ext_model_ZHSG.plotOn(mZHFrameMC, LineStyle(7), LineColor(kRed));
TLegend* leg = new TLegend(0.65,0.77,0.85,0.85);
leg->AddEntry(mZHFrameMC->findObject(mZHFrameMC->nameOf(3)), "side band", "l");
leg->AddEntry(mZHFrameMC->findObject(mZHFrameMC->nameOf(7)), "signal region", "l");
leg->Draw();
mZHFrameMC->addObject(leg);
mZHFrameMC->SetTitle("M_{ZH} distribution in MC");
RooPlot* mZHFrame = mZH.frame();
dataSetDataSB.plotOn(mZHFrame, Binning(binsmZH));
ext_model_ZH .plotOn(mZHFrame, VisualizeError(*mZH_result), FillColor(kYellow));
dataSetDataSB.plotOn(mZHFrame, Binning(binsmZH));
ext_model_ZH .plotOn(mZHFrame, LineStyle(7), LineColor(kBlue));
model_sigData.plotOn(mZHFrame, Normalization(normFactor, RooAbsReal::NumEvent), LineStyle(7), LineColor(kRed));
TLegend* leg1 = new TLegend(0.65,0.77,0.85,0.85);
leg1->AddEntry(mZHFrame->findObject(mZHFrame->nameOf(3)), "side band", "l");
leg1->AddEntry(mZHFrame->findObject(mZHFrame->nameOf(4)), "signal region", "l");
leg1->Draw();
mZHFrame->addObject(leg1);
mZHFrame->SetTitle("M_{ZH} distribution in Data");
TCanvas* c = new TCanvas("c","",0,0,1000,800);
c->cd();
mZHFrameMC->Draw();
c->Print(Form("rooFit_forData_%s_cat%s.pdf(", channel.data(), catcut.data()));
c->cd();
mZHFrame->Draw();
c->Print(Form("rooFit_forData_%s_cat%s.pdf", channel.data(), catcut.data()));
c->cd();
mJetFrame->Draw();
c->Print(Form("rooFit_forData_%s_cat%s.pdf)", channel.data(), catcut.data()));
}
int main(int argc, char *argv[]){
OptionParser(argc,argv);
RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR);
RooMsgService::instance().setSilentMode(true);
system(Form("mkdir -p %s",outdir_.c_str()));
vector<string> procs;
split(infilenames_,infilenamesStr_,boost::is_any_of(","));
TPython::Exec("import os,imp,re");
for (unsigned int i =0 ; i<infilenames_.size() ; i++){
TFile *infile = TFile::Open(infilenames_[i].c_str());
string outname =(string) TPython::Eval(Form("'%s'.split(\"/\")[-1].replace('root','_reduced.root')",infilenames_[i].c_str()));
TFile *outfile = TFile::Open(outname.c_str(),"RECREATE") ;
TDirectory* saveDir = outfile->mkdir("tagsDumper");
saveDir->cd();
RooWorkspace *inWS = (RooWorkspace*) infile->Get("tagsDumper/cms_hgg_13TeV");
RooRealVar *intLumi = (RooRealVar*)inWS->var("IntLumi");
RooWorkspace *outWS = new RooWorkspace("cms_hgg_13TeV");
outWS->import(*intLumi);
std::list<RooAbsData*> data = (inWS->allData()) ;
std::cout <<" [INFO] Reading WS dataset contents: "<< std::endl;
for (std::list<RooAbsData*>::const_iterator iterator = data.begin(), end = data.end(); iterator != end; ++iterator ) {
RooDataSet *dataset = dynamic_cast<RooDataSet *>( *iterator );
if (dataset) {
RooDataSet *datasetReduced = (RooDataSet*) dataset->emptyClone(dataset->GetName(),dataset->GetName());
TRandom3 r;
r.Rndm();
double x[dataset->numEntries()];
r.RndmArray(dataset->numEntries(),x);
int desiredEntries = floor(0.5+ dataset->numEntries()*fraction_);
int modFraction = floor(0.5+ 1/fraction_);
int finalEventCount=0;
for (int j =0; j < dataset->numEntries() ; j++){
if( j%modFraction==0){
finalEventCount++;
}
}
float average_weight= dataset->sumEntries()/finalEventCount;
for (int j =0; j < dataset->numEntries() ; j++){
if( j%modFraction==0){
dataset->get(j);
datasetReduced->add(*(dataset->get(j)),average_weight);
}
}
float entriesIN =dataset->sumEntries();
float entriesOUT =datasetReduced->sumEntries();
if(verbose_){
std::cout << "Original dataset " << *dataset <<std::endl;
std::cout << "Reduced dataset " << *datasetReduced <<std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "fraction (obs) : " << entriesOUT/entriesIN << std::endl;
std::cout << "fraction (exp) : " << fraction_ << std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "********************************************" <<std::endl;
}
outWS->import(*datasetReduced);
}
RooDataHist *datahist = dynamic_cast<RooDataHist *>( *iterator );
if (datahist) {
RooDataHist *datahistOUT = (RooDataHist*) datahist->emptyClone(datahist->GetName(),datahist->GetName());
TRandom3 r;
r.Rndm();
for (int j =0; j < datahist->numEntries() ; j++){
datahistOUT->add(*(datahist->get(j)),datahist->weight());
}
float w =datahistOUT->sumEntries();
float z =datahist->sumEntries();
if(verbose_){
std::cout << "Original datahist " << *datahist <<std::endl;
std::cout << "Reduced datahist " << *datahistOUT<<std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "WH fraction (obs) : " << w/(z) <<std::endl;
std::cout << "WH fraction (exp) : " << fraction_ << std::endl;
std::cout << "********************************************" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "" <<std::endl;
std::cout << "********************************************" <<std::endl;
}
outWS->import(*datahistOUT);
}
}
saveDir->cd();
outWS->Write();
outfile->Close();
infile->Close();
}
}
void Fit3D::plotFitAccuracy(
const RooDataSet& mc_data,
const RooFitResult& fit)
{
fit.Print("v");
double n_true_bs = mc_data.sumEntries("component == component::bs");
double n_true_bd = mc_data.sumEntries("component == component::bd");
double n_true_cw = mc_data.sumEntries("component == component::cw");
double n_true_ww = mc_data.sumEntries("component == component::ww");
double n_true_cn = mc_data.sumEntries("component == component::cn");
RooRealVar* bs_fit = (RooRealVar*) fit.floatParsFinal().find("n_bs_pp");
RooRealVar* bd_fit = (RooRealVar*) fit.floatParsFinal().find("n_bd_pp");
RooRealVar* cw_fit = (RooRealVar*) fit.floatParsFinal().find("n_cw_pp");
RooRealVar* ww_fit = (RooRealVar*) fit.floatParsFinal().find("n_ww_pp");
RooRealVar* cn_fit = (RooRealVar*) fit.floatParsFinal().find("n_cn_pp");
TString title("Fit Accuracy (N^{++}_{fit}-N^{++}_{true})");
TString filename(output_path_ + "fit_accuracy_pp");
if (!bs_fit) {
bs_fit = (RooRealVar*) fit.floatParsFinal().find("n_bs_nn");
bd_fit = (RooRealVar*) fit.floatParsFinal().find("n_bd_nn");
cw_fit = (RooRealVar*) fit.floatParsFinal().find("n_cw_nn");
ww_fit = (RooRealVar*) fit.floatParsFinal().find("n_ww_nn");
cn_fit = (RooRealVar*) fit.floatParsFinal().find("n_cn_nn");
title = TString("Fit Accuracy (N^{--}_{fit}-N^{--}_{true})");
filename = TString(output_path_ + "fit_accuracy_nn");
}
if (!bs_fit) {
// Error. Quit while ahead.
cout << "Error in plotFitAccuracy(): "
<< "Cannot find fit variables. Check names are valid."
<< endl;
return;
}
std::cout << n_true_bd << std::endl;
std::cout << n_true_bs << std::endl;
std::cout << n_true_cn << std::endl;
std::cout << n_true_cw << std::endl;
std::cout << n_true_ww << std::endl;
TCanvas c1("c1", title, 200, 10, 700, 500);
c1.SetGrid();
double x[5] = {1, 2, 3, 4, 5};
double y[5] = {
bs_fit->getVal() - n_true_bs,
bd_fit->getVal() - n_true_bd,
cw_fit->getVal() - n_true_cw,
ww_fit->getVal() - n_true_ww,
cn_fit->getVal() - n_true_cn};
double exl[5] = {0, 0, 0, 0, 0};
double exh[5] = {0, 0, 0, 0, 0};
double eyl[5] = {
-bs_fit->getErrorLo(),
-bd_fit->getErrorLo(),
-cw_fit->getErrorLo(),
-ww_fit->getErrorLo(),
-cn_fit->getErrorLo()};
double eyh[5] = {
bs_fit->getErrorHi(),
bd_fit->getErrorHi(),
cw_fit->getErrorHi(),
ww_fit->getErrorHi(),
cn_fit->getErrorHi()};
TGraphAsymmErrors* gr = new TGraphAsymmErrors(5, x, y, exl, exh, eyl, eyh);
TLatex* cc_bs_label = new TLatex(gr->GetX()[0], gr->GetY()[0], " CC (B_{s})");
TLatex* cc_bd_label = new TLatex(gr->GetX()[1], gr->GetY()[1], " CC (B_{d})");
TLatex* cw_label = new TLatex(gr->GetX()[2], gr->GetY()[2], " CW");
TLatex* ww_label = new TLatex(gr->GetX()[3], gr->GetY()[3], " WW");
TLatex* cn_label = new TLatex(gr->GetX()[4], gr->GetY()[4], " CN");
gr->GetListOfFunctions()->Add(cc_bs_label);
gr->GetListOfFunctions()->Add(cc_bd_label);
gr->GetListOfFunctions()->Add(cw_label);
gr->GetListOfFunctions()->Add(ww_label);
gr->GetListOfFunctions()->Add(cn_label);
gr->SetTitle(title);
gr->SetMarkerStyle(kOpenCircle);
gr->SetMarkerColor(4);
gr->Draw("AP");
c1.Print(filename + ".eps");
TFile accuracy_plot_file(filename + ".root", "RECREATE");
gr->Write();
accuracy_plot_file.Close();
return;
}
void createWorkspace(const std::string &infilename, int nState, bool correctCtau, bool drawRapPt2D) {
gROOT->SetStyle("Plain");
gStyle->SetTitleBorderSize(0);
delete gRandom;
gRandom = new TRandom3(23101987);
// Set some strings
const std::string workspacename = "ws_masslifetime",
treename = "selectedData";
// Get the tree from the data file
TFile *f = TFile::Open(infilename.c_str());
TTree *tree = (TTree*)f->Get(treename.c_str());
// Set branch addresses in tree to be able to import tree to roofit
TLorentzVector* chic = new TLorentzVector;
tree->SetBranchAddress("chic",&chic);
TLorentzVector* chic_rf = new TLorentzVector;
tree->SetBranchAddress("chic_rf",&chic_rf);
TLorentzVector* jpsi = new TLorentzVector;
tree->SetBranchAddress("jpsi",&jpsi);
double lifetime = 0;
tree->SetBranchAddress("Jpsict",&lifetime);
double lifetimeErr = 0;
tree->SetBranchAddress("JpsictErr",&lifetimeErr);
char lifetimeTitle[200];
sprintf(lifetimeTitle,"l^{#psi} [mm]");
if(correctCtau) sprintf(lifetimeTitle,"l^{#chi} [mm]");
// define variables necessary for J/Psi(Psi(2S)) mass,lifetime fit
RooRealVar* JpsiMass =
new RooRealVar("JpsiMass", "M^{#psi} [GeV]", onia::massMin, onia::massMax);
RooRealVar* JpsiPt =
new RooRealVar("JpsiPt", "p^{#psi}_{T} [GeV]", 0. ,1000.);
RooRealVar* JpsiRap =
new RooRealVar("JpsiRap", "y^{#psi}", -2., 2.);
RooRealVar* chicMass =
new RooRealVar("chicMass", "M^{#chi} [GeV]", onia::chimassMin, onia::chimassMax);
RooRealVar* chicRap =
new RooRealVar("chicRap", "y^{#chi}", -onia::chirap, onia::chirap);
RooRealVar* chicPt =
new RooRealVar("chicPt", "p^{#chi}_{T} [GeV]", 0. ,100.);
RooRealVar* Jpsict =
new RooRealVar("Jpsict", lifetimeTitle, onia::ctVarMin, onia::ctVarMax);
RooRealVar* JpsictErr =
new RooRealVar("JpsictErr", Form("Error on %s",lifetimeTitle), 0.0001, 1.);
// Set bins
Jpsict->setBins(10000,"cache");
JpsiMass->setBins(10000,"cache");
JpsiPt->setBins(100);
JpsiRap->setBins(10000,"cache");
chicMass->setBins(10000,"cache");
//JpsictErr->setBins(100);
JpsictErr->setBins(10000,"cache");
// The list of data variables
RooArgList dataVars(*JpsiMass,*JpsiPt,*JpsiRap,*chicMass,*chicRap,*chicPt,*Jpsict,*JpsictErr);
// construct dataset to contain events
RooDataSet* fullData = new RooDataSet("fullData","The Full Data From the Input ROOT Trees",dataVars);
int entries = tree->GetEntries();
cout << "entries " << entries << endl;
int numEntriesTotal=0;
int numEntriesInAnalysis=0;
int numEntriesNotInAnalysis=0;
/*
/// Read in 2011 data ctauErr-histos
char saveDir[200];
char PlotID[200];
char savename[200];
sprintf(saveDir,"/afs/hephy.at/scratch/k/knuenz/ChicPol/macros/polFit/Figures/CtauErrModel");
gSystem->mkdir(saveDir);
sprintf(PlotID,"2014May26_MoreLbins");
sprintf(saveDir,"%s/%s",saveDir,PlotID);
gSystem->mkdir(saveDir);
sprintf(savename,"%s/CtauErrModel_histograms.root",saveDir);
TFile *infile = new TFile(savename,"READ");
cout<<"opened file"<<endl;
const int nPT=5;
const int nRAP=2;
const int nL=15;
const double bordersPT[nPT+1] = {0., 12., 16., 20., 30., 100.};
const double bordersRAP[nRAP+1] = {0., 0.6, 2.};
const double bordersL[nL+1] = {onia::ctVarMin, -0.05, -0.03, -0.02, -0.015, -0.01, -0.005, 0., 0.005, 0.01, 0.015, 0.02, 0.03, 0.05, 0.1, onia::ctVarMax};
TH1D* h_ctauerr_2011[nRAP+1][nPT+1][nL+1];
TH1D* h_ctauerr_2012[nRAP+1][nPT+1][nL+1];
for(int iRAP = 0; iRAP < nRAP+1; iRAP++){
for(int iPT = 0; iPT < nPT+1; iPT++){
for(int iL = 0; iL < nL+1; iL++){
h_ctauerr_2011[iRAP][iPT][iL] = (TH1D*)infile->Get(Form("h_ctauerr_2011_rap%d_pt%d_l%d",iRAP, iPT, iL));
h_ctauerr_2012[iRAP][iPT][iL] = (TH1D*)infile->Get(Form("h_ctauerr_2012_rap%d_pt%d_l%d",iRAP, iPT, iL));
}
}
}
cout<<"opened hists"<<endl;
/// Finished reading in 2011 data ctauErr-histos
*/
// loop through events in tree and save them to dataset
for (int ientries = 0; ientries < entries; ientries++) {
numEntriesTotal++;
if (ientries%10000==0) std::cout << "event " << ientries << " of " << entries << std::endl;
tree->GetEntry(ientries);
double M_jpsi =jpsi->M();
double pt_jpsi =jpsi->Pt();
double y_jpsi =jpsi->Rapidity();
double M =chic_rf->M();
//double M =chic->M()-jpsi->M()+onia::MpsiPDG;
double y=chic->Rapidity();
double pt=chic->Pt();
//if (ientries%3==0){
// M_jpsi = gRandom->Uniform(JpsiMass->getMin(), JpsiMass->getMax());
//}
//double JpsictErrRand = h_JpsictErr->GetRandom();
//double JpsictErrRand2 = h_JpsictErr->GetRandom();
//double JpsictMeanRand=0.;
////double pTcorrection=(pt-20.)*0.002;
//
////JpsictErrRand-=pTcorrection;
//if(JpsictErrRand<0) JpsictErrRand=0.001;
////JpsictErrRand2-=pTcorrection;
//if(JpsictErrRand2<0) JpsictErrRand2=0.001;
//
//if (ientries%1000000==0){
// double exponent=0.4;
// JpsictMeanRand=gRandom->Exp(exponent);
//}
//
//
//lifetime = gRandom->Gaus(JpsictMeanRand,0.8*JpsictErrRand);
//lifetimeErr = JpsictErrRand2;
//if (ientries%3==0){
// lifetime = gRandom->Gaus(JpsictMeanRand,1.5*JpsictErrRand);
//}
//
//double resCorrFactor=1.08;
//if(lifetime<0)
// lifetimeErr/=resCorrFactor;
/*
int iRAPindex=0;
int iPTindex=0;
int iLindex=0;
for(int iRAP = 1; iRAP < nRAP+1; iRAP++){
for(int iPT = 1; iPT < nPT+1; iPT++){
for(int iL = 1; iL < nL+1; iL++){
Double_t ptMin = bordersPT[iPT-1];;
Double_t ptMax = bordersPT[iPT];;
Double_t rapMin = bordersRAP[iRAP-1];;
Double_t rapMax = bordersRAP[iRAP]; ;
Double_t lMin = bordersL[iL-1];;
Double_t lMax = bordersL[iL]; ;
if(pt_jpsi>ptMin && pt_jpsi<ptMax && TMath::Abs(y_jpsi)>rapMin && TMath::Abs(y_jpsi)<rapMax && lifetime>lMin && lifetime<lMax){
iRAPindex=iRAP;
iPTindex=iPT;
iLindex=iL;
}
}
}
}
double lifetimeErrRand = h_ctauerr_2011[iRAPindex][iPTindex][iLindex]->GetRandom();
lifetimeErr = lifetimeErrRand;
if (ientries%10000==0){
std::cout << "Test output: lifetimeErr " << lifetimeErr << " randomly drawn from from " << h_ctauerr_2011[iRAPindex][iPTindex][iLindex]->GetName() << std::endl;
}
*/
if (
M > chicMass->getMin() && M < chicMass->getMax()
&& pt > chicPt->getMin() && pt < chicPt->getMax()
&& y > chicRap->getMin() && y < chicRap->getMax()
&& M_jpsi > JpsiMass->getMin() && M_jpsi < JpsiMass->getMax()
&& pt_jpsi > JpsiPt->getMin() && pt_jpsi < JpsiPt->getMax()
&& y_jpsi > JpsiRap->getMin() && y_jpsi < JpsiRap->getMax()
&& lifetime > Jpsict->getMin() && lifetime < Jpsict->getMax()
&& lifetimeErr > JpsictErr->getMin() && lifetimeErr < JpsictErr->getMax()
) {
chicPt ->setVal(pt);
chicRap ->setVal(y);
chicMass ->setVal(M);
JpsiMass ->setVal(M_jpsi);
JpsiPt ->setVal(pt_jpsi);
JpsiRap ->setVal(y_jpsi);
Jpsict ->setVal(lifetime);
JpsictErr ->setVal(lifetimeErr);
//cout<<"JpsiRap->getVal() "<<JpsiRap->getVal()<<endl;
fullData->add(dataVars);
numEntriesInAnalysis++;
}
else {
numEntriesNotInAnalysis++;
//if (M < chicMass->getMin() || M > chicMass->getMax()) cout << "M " << M << endl;
//if (pt < chicPt->getMin() || pt > chicPt->getMax()) cout << "pt " << pt << endl;
//if (y < chicRap->getMin() || y > chicRap->getMax()) cout << "y " << y << endl;
//if (lifetime < Jpsict->getMin() || lifetime > Jpsict->getMax()) cout << "lifetime " << lifetime << endl;
//if (lifetimeErr < JpsictErr->getMin() || lifetimeErr > JpsictErr->getMax()) cout << "lifetimeErr " << lifetimeErr << endl;
//cout << "M " << M << endl;
//cout << "pt " << pt << endl;
//cout << "y " << y << endl;
//cout << "lifetime " << lifetime << endl;
//cout << "lifetimeErr " << lifetimeErr << endl;
//cout << " " << endl;
}
}//ientries
//infile->Close();
cout << "entries entering all bins " << fullData->sumEntries() << endl;
cout << "numEntriesTotal " << numEntriesTotal << endl;
cout << "numEntriesInAnalysis " << numEntriesInAnalysis << endl;
cout << "numEntriesNotInAnalysis " << numEntriesNotInAnalysis << endl;
//------------------------------------------------------------------------------------------------------------------
// Define workspace and import datasets
////Get datasets binned in pT an y
for(int iRap = 0; iRap <= onia::kNbRapForPTBins; iRap++) {
Double_t yMin;
Double_t yMax;
if(iRap==0) {
yMin = onia::rapForPTRange[0];
yMax = onia::rapForPTRange[onia::kNbRapForPTBins];
} else {
yMin = onia::rapForPTRange[iRap-1];
yMax = onia::rapForPTRange[iRap];
}
for(int iPT = 0; iPT <= onia::kNbPTBins[iRap]; iPT++) {
//for(int iPT = 0; iPT <= 0; iPT++)
Double_t ptMin;
Double_t ptMax;
if(iPT==0) {
ptMin = onia::pTRange[iRap][0];
ptMax = onia::pTRange[iRap][onia::kNbPTBins[0]];
} else {
ptMin = onia::pTRange[iRap][iPT-1];
ptMax = onia::pTRange[iRap][iPT];
}
// output file name and workspace
std::stringstream outfilename;
outfilename << "tmpFiles/backupWorkSpace/ws_createWorkspace_Chi_rap" << iRap << "_pt" << iPT << ".root";
RooWorkspace* ws = new RooWorkspace(workspacename.c_str());
// define pt and y cuts on dataset
std::stringstream cutString;
if(onia::KinParticleChi && !onia::KinParticleChiButJpsiRap) {
cutString << "(chicPt >= " << ptMin << " && chicPt < "<< ptMax << ") && "
<< "(TMath::Abs(chicRap) >= " << yMin << " && TMath::Abs(chicRap) < " << yMax << ")";
}
if(!onia::KinParticleChi) {
cutString << "(JpsiPt >= " << ptMin << " && JpsiPt < "<< ptMax << ") && "
<< "(TMath::Abs(JpsiRap) >= " << yMin << " && TMath::Abs(JpsiRap) < " << yMax << ")";
}
if(onia::KinParticleChi && onia::KinParticleChiButJpsiRap) {
cutString << "(chicPt >= " << ptMin << " && chicPt < "<< ptMax << ") && "
<< "(TMath::Abs(JpsiRap) >= " << yMin << " && TMath::Abs(JpsiRap) < " << yMax << ")";
}
cout << "cutString: " << cutString.str().c_str() << endl;
// get the dataset for the fit
RooDataSet* binData = (RooDataSet*)fullData->reduce(cutString.str().c_str());
std::stringstream name;
name << "jpsi_data_rap" << iRap << "_pt" << iPT;
binData->SetNameTitle(name.str().c_str(), "Data For Fitting");
cout << "numEvents = " << binData->sumEntries() << endl;
double chicMeanPt = binData->mean(*chicPt);
RooRealVar var_chicMeanPt("var_chicMeanPt","var_chicMeanPt",chicMeanPt);
if(!ws->var("var_chicMeanPt")) ws->import(var_chicMeanPt);
else ws->var("var_chicMeanPt")->setVal(chicMeanPt);
cout << "chicMeanPt = " << chicMeanPt << endl;
double jpsiMeanPt = binData->mean(*JpsiPt);
RooRealVar var_jpsiMeanPt("var_jpsiMeanPt","var_jpsiMeanPt",jpsiMeanPt);
if(!ws->var("var_jpsiMeanPt")) ws->import(var_jpsiMeanPt);
else ws->var("var_jpsiMeanPt")->setVal(jpsiMeanPt);
cout << "jpsiMeanPt = " << jpsiMeanPt << endl;
std::stringstream cutStringPosRapChic;
cutStringPosRapChic << "chicRap > 0";
RooDataSet* binDataPosRapChic = (RooDataSet*)binData->reduce(cutStringPosRapChic.str().c_str());
double chicMeanAbsRap = binDataPosRapChic->mean(*chicRap);
cout << "chicMeanAbsRap = " << chicMeanAbsRap << endl;
RooRealVar var_chicMeanAbsRap("var_chicMeanAbsRap","var_chicMeanAbsRap",chicMeanAbsRap);
if(!ws->var("var_chicMeanAbsRap")) ws->import(var_chicMeanAbsRap);
else ws->var("var_chicMeanAbsRap")->setVal(chicMeanAbsRap);
std::stringstream cutStringPosRapJpsi;
cutStringPosRapJpsi << "JpsiRap > 0";
RooDataSet* binDataPosRapJpsi = (RooDataSet*)binData->reduce(cutStringPosRapJpsi.str().c_str());
double jpsiMeanAbsRap = binDataPosRapJpsi->mean(*JpsiRap);
cout << "jpsiMeanAbsRap = " << jpsiMeanAbsRap << endl;
RooRealVar var_jpsiMeanAbsRap("var_jpsiMeanAbsRap","var_jpsiMeanAbsRap",jpsiMeanAbsRap);
if(!ws->var("var_jpsiMeanAbsRap")) ws->import(var_jpsiMeanAbsRap);
else ws->var("var_jpsiMeanAbsRap")->setVal(jpsiMeanAbsRap);
// Import variables to workspace
ws->import(*binData);
ws->writeToFile(outfilename.str().c_str());
}//iPT
}//iRap
////---------------------------------------------------------------
////--Integrating rapidity and pt bins, in +/- 3*sigma mass window
////---------------------------------------------------------------
if(drawRapPt2D) {
double yMin = onia::rapForPTRange[0];
double yMax = 1.6;//onia::rapForPTRange[onia::kNbRapForPTBins];
double ptMin = onia::pTRange[0][0];
double ptMax = onia::pTRange[0][onia::kNbPTBins[0]];
std::stringstream cutRapPt;
cutRapPt << "(chicPt > " << ptMin << " && chicPt < "<< ptMax << ") && "
<< "(TMath::Abs(chicRap) > " << yMin << " && TMath::Abs(chicRap) < " << yMax << ")";
cout<<"cutRapPt: "<<cutRapPt.str().c_str()<<endl;
RooDataSet* rapPtData = (RooDataSet*)fullData->reduce(cutRapPt.str().c_str());
std::stringstream nameRapPt;
nameRapPt << "data_rap0_pt0";
rapPtData->SetNameTitle(nameRapPt.str().c_str(), "Data For full rap and pt");
// output file name and workspace
std::stringstream outfilename;
outfilename << "tmpFiles/backupWorkSpace/ws_createWorkspace_Chi_rap0_pt0.root";
RooWorkspace* ws_RapPt = new RooWorkspace(workspacename.c_str());
//Import variables to workspace
ws_RapPt->import(*rapPtData);
ws_RapPt->writeToFile(outfilename.str().c_str());
TH2D* rapPt;
TH1D* rap1p2;
double MassMin;
double MassMax;
rap1p2 = new TH1D("rap1p2","rap1p2",30,1.2, 1.8);
if(nState==4) {
rapPt = new TH2D( "rapPt", "rapPt", 52,-1.3,1.3,144,0,72);
MassMin=3.011;//massPsi1S-onia::nSigMass*sigma1S;
MassMax=3.174;//massPsi1S+onia::nSigMass*sigma1S;
// sigma 27.2 MeV
// mean 3.093 GeV
}
if(nState==5) {
rapPt = new TH2D( "rapPt", "rapPt", 64,-1.6,1.6,144,0,72); // rap<1.5
//rapPt = new TH2D( "rapPt", "rapPt", 52,-1.3,1.3,144,0,72); // rap<1.2
MassMin=3.576;//massPsi2S-onia::nSigMass*sigma2S;
MassMax=3.786;//massPsi2S+onia::nSigMass*sigma2S;
// sigma 34.9 MeV // pT > 7
// sigma 34.3 MeV // pT > 10
// mean 3.681 GeV
}
cout<<"Plotting rap-Pt for Psi"<<nState-3<<"S"<<endl;
cout<<"MassMin for rap-Pt plot = "<<MassMin<<endl;
cout<<"MassMax for rap-Pt plot = "<<MassMax<<endl;
TTree *rapPtTree = (TTree*)rapPtData->tree();
std::stringstream cutMass;
cutMass<<"(chicMass > " << MassMin << " && chicMass < "<< MassMax << ")";
//following two methods can only be used in root_v30, 34 does not work
rapPtTree->Draw("chicPt:chicRap>>rapPt",cutMass.str().c_str(),"colz");
cout<<"debug"<<endl;
rapPtTree->Draw("TMath::Abs(chicRap)>>rap1p2",cutMass.str().c_str());
TCanvas* c2 = new TCanvas("c2","c2",1200,1500);
rapPt->SetYTitle("p_{T}(#mu#mu) [GeV]");
rapPt->SetXTitle("y(#mu#mu)");
gStyle->SetPalette(1);
gPad->SetFillColor(kWhite);
rapPt->SetTitle(0);
rapPt->SetStats(0);
gPad->SetLeftMargin(0.15);
gPad->SetRightMargin(0.17);
rapPt->GetYaxis()->SetTitleOffset(1.5);
rapPt->Draw("colz");
TLine* rapPtLine;
for(int iRap=0; iRap<onia::kNbRapForPTBins+1; iRap++) {
rapPtLine= new TLine( -onia::rapForPTRange[iRap], onia::pTRange[0][0], -onia::rapForPTRange[iRap], onia::pTRange[0][onia::kNbPTBins[iRap]] );
rapPtLine->SetLineWidth( 2 );
rapPtLine->SetLineStyle( 1 );
rapPtLine->SetLineColor( kWhite );
rapPtLine->Draw();
rapPtLine= new TLine( onia::rapForPTRange[iRap], onia::pTRange[0][0], onia::rapForPTRange[iRap], onia::pTRange[0][onia::kNbPTBins[iRap]] );
rapPtLine->SetLineWidth( 2 );
rapPtLine->SetLineStyle( 1 );
rapPtLine->SetLineColor( kWhite );
rapPtLine->Draw();
int pTBegin = 0;
if(nState==5) pTBegin = 1;
for(int iPt=pTBegin; iPt<onia::kNbPTBins[iRap+1]+1; iPt++) {
rapPtLine= new TLine( -onia::rapForPTRange[onia::kNbRapForPTBins], onia::pTRange[0][iPt], onia::rapForPTRange[onia::kNbRapForPTBins], onia::pTRange[0][iPt] );
rapPtLine->SetLineWidth( 2 );
rapPtLine->SetLineStyle( 1 );
rapPtLine->SetLineColor( kWhite );
rapPtLine->Draw();
}
}
char savename[200];
sprintf(savename,"Figures/rapPt_Chi.pdf");
c2->SaveAs(savename);
TCanvas* c3 = new TCanvas("c3","c3",1500,1200);
rap1p2->SetYTitle("Events");
rap1p2->SetXTitle("y(#mu#mu)");
rap1p2->SetTitle(0);
rap1p2->SetStats(0);
rap1p2->GetYaxis()->SetTitleOffset(1.2);
rap1p2->Draw();
sprintf(savename,"Figures/rap_Chi_1p2.pdf");
c3->SaveAs(savename);
}
f->Close();
}
void higgsMassFit(const int& mH, const std::string& mode = "exclusion", const bool& drawPlots = false, const int& nToys = 10000)
{
using namespace RooFit;
RooMsgService::instance().deleteStream(0);
RooMsgService::instance().deleteStream(1);
std::string varName = "lepNuW_m";
int step = 16;
char treeName[50];
sprintf(treeName, "ntu_%d", step);
float lumi = 1000.;
int nBins = 50;
double xMin = 0.;
double xMax = 1000.;
double xMin_signal = 0.;
double xMax_signal = 0.;
SetXSignal(xMin_signal,xMax_signal,mH);
RooRealVar x("x",varName.c_str(),xMin,xMax);
x.setRange("low", xMin, xMin_signal);
x.setRange("signal",xMin_signal,xMax_signal);
x.setRange("high", xMax_signal,xMax);
RooRealVar w("w","weight",0.,1000000000.);
char signalCut[50];
sprintf(signalCut,"x > %f && x < %f",xMin_signal,xMax_signal);
//-------------------
// define the outfile
char outFileName[50];
sprintf(outFileName,"higgsMassFit_H%d_%s.root",mH,mode.c_str());
TFile* outFile = new TFile(outFileName,"RECREATE");
outFile -> cd();
//-------------------
// define the infiles
char higgsMass[50];
sprintf(higgsMass,"%d",mH);
std::string BKGPath = "/grid_mnt/vol__vol1__u/llr/cms/abenagli/COLLISIONS7TeV/Fall10/VBFAnalysisPackage/data/VBFAnalysis_AK5PF_H" +
std::string(higgsMass) +
"_ET30_maxDeta_minDeta_Spring11_EGMu_noHiggsMassCut/";
std::string WJetsFolder = "WJetsToLNu_TuneZ2_7TeV-madgraph-tauola_Spring11-PU_S1_START311_V1G1-v1/";
std::string TTJetsFolder = "TTJets_TuneZ2_7TeV-madgraph-tauola_Spring11-PU_S1_START311_V1G1-v1/";
//std::string ZJetsFolder =
//std::string GJets_HT40To100Folder
//std::string GJets_HT100To200Folder
//std::string GJets_HT200Folder
//std::string WWFolder
//std::string WZFolder
//std::string TJets_schannelFolder
//std::string TJets_tchannelFolder
//std::string TJets_tWchannelFolder
std::string GluGluHToLNuQQFolder = "GluGluToHToWWToLNuQQ_M-" + std::string(higgsMass) + "_7TeV-powheg-pythia6_Spring11-PU_S1_START311_V1G1-v1/";
std::string GluGluHToTauNuQQFolder = "GluGluToHToWWToTauNuQQ_M-" + std::string(higgsMass) + "_7TeV-powheg-pythia6_Spring11-PU_S1_START311_V1G1-v1/";
std::string VBFHToLNuQQFolder = "VBF_HToWWToLNuQQ_M-" + std::string(higgsMass) + "_7TeV-powheg-pythia6_Spring11-PU_S1_START311_V1G1-v1/";
std::string VBFHToTauNuQQFolder = "VBF_HToWWToTauNuQQ_M-" + std::string(higgsMass) + "_7TeV-powheg-pythia6_Spring11-PU_S1_START311_V1G1-v1/";
//---------------------------------------
// define the background shape histograms
int nBKG = 2;
TH1F** BKGShapeHisto = new TH1F*[nBKG];
TH1F* BKGTotShapeHisto = new TH1F("BKGTotShapeHisto","",nBins,xMin,xMax);
THStack* BKGShapeStack = new THStack();
RooDataSet** rooBKGDataSet = new RooDataSet*[nBKG];
std::string* BKGNames = new std::string[nBKG];
BKGNames[1] = BKGPath+WJetsFolder+"VBFAnalysis_AK5PF.root";
BKGNames[0] = BKGPath+TTJetsFolder+"VBFAnalysis_AK5PF.root";
//BKGNames[1] = BKGPath+ZJetsFolder+"VBFAnalysis_AK5PF.root";
//BKGNames[2] = BKGPath+GJets_HT40To100Folder+"VBFAnalysis_AK5PF.root";
//BKGNames[3] = BKGPath+GJets_HT100To200Folder+"VBFAnalysis_AK5PF.root";
//BKGNames[4] = BKGPath+GJets_HT200Folder+"VBFAnalysis_AK5PF.root";
//BKGNames[6] = BKGPath+WWFolder+"VBFAnalysis_AK5PF.root";
//BKGNames[7] = BKGPath+WZFolder+"VBFAnalysis_AK5PF.root";
//BKGNames[8] = BKGPath+TJets_schannelFolder+"VBFAnalysis_AK5PF.root";
//BKGNames[9] = BKGPath+TJets_tchannelFolder+"VBFAnalysis_AK5PF.root";
//BKGNames[10] = BKGPath+TJets_tWchannelFolder+"VBFAnalysis_AK5PF.root";
std::string* BKGShortNames = new std::string[nBKG];
BKGShortNames[1] = "WJets";
BKGShortNames[0] = "TTJets";
//BKGShortNames[1] = "ZJets";
//BKGShortNames[2] = "GJets_HT40To100";
//BKGShortNames[3] = "GJets_HT100To200";
//BKGShortNames[4] = "GJets_HT200";
//BKGShortNames[6] = "WW";
//BKGShortNames[7] = "WZ";
//BKGShortNames[8] = "TJets_schannel";
//BKGShortNames[9] = "TJets_tchannel";
//BKGShortNames[10] = "TJets_tWchannel";
Color_t* BKGColors = new Color_t[nBKG];
BKGColors[1] = kOrange-708;
BKGColors[0] = kAzure-795;
//-----------------------------------
// define the signal shape histograms
int nSIG = 2;
TH1F* SIGShapeHisto = new TH1F("SIGShapeHisto","",4*nBins,xMin,xMax);
SIGShapeHisto -> Sumw2();
SIGShapeHisto -> SetLineWidth(1);
SIGShapeHisto -> SetLineStyle(1);
RooDataSet* rooSIGDataSet = new RooDataSet("rooSIGDataSet","",RooArgSet(x,w),WeightVar(w));
std::string* SIGNames = new std::string[nSIG];
SIGNames[0] = BKGPath+GluGluHToLNuQQFolder+"VBFAnalysis_AK5PF.root";
SIGNames[1] = BKGPath+VBFHToLNuQQFolder+"VBFAnalysis_AK5PF.root";
std::string* SIGShortNames = new std::string[nSIG];
SIGShortNames[1] = "ggH";
SIGShortNames[0] = "qqH";
//----------------------
// loop over backgrounds
std::cout << "***********************************************************************" << std::endl;
std::cout << ">>> Fill the background shapes" << std::endl;
for(int i = 0; i < nBKG; ++i)
{
TFile* inFile_BKGShape = TFile::Open((BKGNames[i]).c_str());
inFile_BKGShape -> cd();
TTree* BKGShapeTree = (TTree*)(inFile_BKGShape -> Get(treeName));
BKGShapeHisto[i] = new TH1F(("BKGShapeHisto_"+BKGShortNames[i]).c_str(),"",nBins,xMin,xMax);
enum EColor color = (enum EColor)(BKGColors[i]);
BKGShapeHisto[i] -> SetFillColor(color);
BKGShapeHisto[i] -> Sumw2();
rooBKGDataSet[i] = new RooDataSet(("rooBKGDataSet_"+BKGShortNames[i]).c_str(),"",RooArgSet(x,w),WeightVar(w));
TH1F* eventsHisto;
inFile_BKGShape -> GetObject("events", eventsHisto);
float totEvents = eventsHisto -> GetBinContent(1);
// set branch addresses
float crossSection;
float var;
BKGShapeTree -> SetBranchAddress("crossSection", &crossSection);
BKGShapeTree -> SetBranchAddress(varName.c_str(),&var);
// loop over the entries
for(int entry = 0; entry < BKGShapeTree->GetEntries(); ++entry)
{
BKGShapeTree -> GetEntry(entry);
x = var;
w = 1./totEvents*crossSection*lumi;
BKGShapeHisto[i] -> Fill(var, 1./totEvents*crossSection*lumi);
BKGTotShapeHisto -> Fill(var, 1./totEvents*crossSection*lumi);
rooBKGDataSet[i] -> add(RooArgSet(x,w));
}
BKGShapeStack -> Add(BKGShapeHisto[i]);
}
//------------------
// loop over signals
std::cout << ">>> Fill the signal shapes" << std::endl;
for(int i = 0; i < nSIG; ++i)
{
TFile* inFile_SIGShape = TFile::Open((SIGNames[i]).c_str());
inFile_SIGShape -> cd();
TTree* SIGShapeTree = (TTree*)(inFile_SIGShape -> Get(treeName));
TH1F* eventsHisto = (TH1F*)(inFile_SIGShape -> Get("events"));
float totEvents = eventsHisto -> GetBinContent(1);
// set branch addresses
float crossSection;
float var;
SIGShapeTree -> SetBranchAddress("crossSection", &crossSection);
SIGShapeTree -> SetBranchAddress(varName.c_str(),&var);
// loop over the entries
for(int entry = 0; entry < SIGShapeTree->GetEntries(); ++entry)
{
SIGShapeTree -> GetEntry(entry);
x = var;
w= 1./totEvents*crossSection*lumi;
SIGShapeHisto -> Fill(var, 1./totEvents*crossSection*lumi);
rooSIGDataSet -> add(RooArgSet(x,w));
}
}
//-----------------------------------
// draw the background + signal stack
if( drawPlots )
{
TCanvas* c1 = new TCanvas("BKGShapeStack","BKGShapeStack");
c1 -> SetGridx();
c1 -> SetGridy();
BKGShapeStack -> Draw("HIST");
SIGShapeHisto -> Draw("HIST,same");
char pngFileName[50];
sprintf(pngFileName,"BKGShapeStack_H%d_%s.png",mH,mode.c_str());
c1 -> Print(pngFileName,"png");
}
//---------------------------------
// define the bkg shape with roofit
std::cout << ">>> Define the background pdf" << std::endl;
RooKeysPdf** rooBKGPdf = new RooKeysPdf*[nBKG];
RooRealVar** rooNBKG = new RooRealVar*[nBKG];
RooRealVar* rooNBKGTot = new RooRealVar("rooNBKGTot","",BKGTotShapeHisto->Integral(),0.,1000000.);
for(int i = 0; i < nBKG; ++i)
{
rooBKGPdf[i] = new RooKeysPdf(("rooBKGPdf_"+BKGShortNames[i]).c_str(),"",x,*rooBKGDataSet[i]);
rooNBKG[i] = new RooRealVar(("rooNBKG_"+BKGShortNames[i]).c_str(),"",BKGShapeHisto[i]->Integral(),BKGShapeHisto[i]->Integral()),BKGShapeHisto[i]->Integral();
}
RooAddPdf* rooBKGTotPdf = new RooAddPdf("rooBKGTotPdf","",RooArgList(*rooBKGPdf[0],*rooBKGPdf[1]),RooArgList(*rooNBKG[0],*rooNBKG[1]));
//---------------------------------
// define the sig shape with roofit
std::cout << ">>> Define the signal pdf" << std::endl;
RooKeysPdf* rooSIGPdf = new RooKeysPdf("rooSIGPdf","",x,*rooSIGDataSet);
RooRealVar* rooNSIG = new RooRealVar("rooNSIG","",1.,-1000000.,1000000.);
//---------------------------------
// define the tot shape with roofit
std::cout << ">>> Define the total pdf" << std::endl;
RooAddPdf* rooTotPdf = NULL;
if( mode == "exclusion") rooTotPdf = new RooAddPdf("rooTotPdf","",RooArgList(*rooBKGTotPdf),RooArgList(*rooNBKGTot));
if( mode == "discovery") rooTotPdf = new RooAddPdf("rooTotPdf","",RooArgList(*rooBKGTotPdf,*rooSIGPdf),RooArgList(*rooNBKGTot,*rooNSIG));
//----
// plot
if( drawPlots )
{
TCanvas* c2 = new TCanvas("rooTotPdf","rooTotPdf");
c2 -> SetGridx();
c2 -> SetGridy();
RooPlot* rooBKGPlot = x.frame();
rooBKGTotPdf -> plotOn(rooBKGPlot,LineColor(kBlack));
enum EColor color = (enum EColor)(BKGColors[0]);
rooBKGTotPdf -> plotOn(rooBKGPlot,Components(("rooBKGPdf_"+BKGShortNames[0]).c_str()),LineColor(color));
color = (enum EColor)(BKGColors[1]);
rooBKGTotPdf -> plotOn(rooBKGPlot,Components(("rooBKGPdf_"+BKGShortNames[1]).c_str()),LineColor(color));
rooSIGPdf -> plotOn(rooBKGPlot,LineColor(kBlack),LineStyle(1),LineWidth(1));
rooBKGPlot->Draw();
TH1F* BKGShapeHistoNorm = (TH1F*) BKGTotShapeHisto -> Clone();
BKGShapeHistoNorm -> Scale(1./BKGTotShapeHisto->Integral()/nBKG);
BKGShapeHistoNorm -> Draw("HIST,same");
char pngFileName[50];
sprintf(pngFileName,"BKGShapeNorm_H%d_%s.png",mH,mode.c_str());
c2 -> Print(pngFileName,"png");
}
//------------------------
// generate toy experiment
std::cout << "***********************************************************************" << std::endl;
std::cout << ">>> 1st toy experiment - " << mode << " mode" << std::endl;
int NBKGToy = int(BKGTotShapeHisto->Integral());
int NSIGToy = 0;
if( mode == "discovery" ) NSIGToy = int(SIGShapeHisto->Integral());
RooDataSet* rooBKGToyDataSet = rooBKGTotPdf->generate(RooArgSet(x),NBKGToy);
RooDataSet* rooSIGToyDataSet = rooSIGPdf->generate(RooArgSet(x),NSIGToy);
rooBKGToyDataSet -> append(*rooSIGToyDataSet);
float NBKGToy_signal = rooBKGToyDataSet->sumEntries(signalCut);
float NBKGToy_signal_fit = 0.;
// fit
if( mode == "exclusion" ) rooTotPdf -> fitTo(*rooBKGToyDataSet,Extended(kTRUE),PrintLevel(-1),Range("low,high"));
if( mode == "discovery" ) rooTotPdf -> fitTo(*rooBKGToyDataSet,Extended(kTRUE),PrintLevel(-1));
// count events
if( mode == "exclusion" )
{
RooAbsReal* rooTotIntegral = rooTotPdf -> createIntegral(x,NormSet(x),Range("signal"));
NBKGToy_signal_fit = rooTotIntegral->getVal() * rooNBKGTot->getVal();
std::cout << ">>>>>> BKG toy events (true) in signal region in " << lumi << "/pb: " << NBKGToy_signal << std::endl;
std::cout << ">>>>>> BKG toy events (fit) in signal region in " << lumi << "/pb: " << NBKGToy_signal_fit << std::endl;
}
if( mode == "discovery" )
{
std::cout << ">>>>>> BKG toy events (true) in " << lumi << "/pb: " << NBKGToy << std::endl;
std::cout << ">>>>>> BKG toy events (fit) in " << lumi << "/pb: " << rooNBKGTot->getVal() << std::endl;
std::cout << ">>>>>> SIG toy events (true) in " << lumi << "/pb: " << NSIGToy << std::endl;
std::cout << ">>>>>> SIG toy events (fit) in " << lumi << "/pb: " << rooNSIG->getVal() << std::endl;
}
if( drawPlots )
{
TCanvas* c3 = new TCanvas("TOY","TOY");
c3 -> SetGridx();
c3 -> SetGridy();
RooPlot* rooTOYPlot = x.frame();
rooBKGToyDataSet -> plotOn(rooTOYPlot,MarkerSize(0.7));
rooTotPdf -> plotOn(rooTOYPlot, LineColor(kRed));
rooTotPdf -> plotOn(rooTOYPlot, Components("rooSIGPdf"), LineColor(kRed));
rooTOYPlot->Draw();
char pngFileName[50];
sprintf(pngFileName,"BKGToyFit_H%d_%s.png",mH,mode.c_str());
c3 -> Print(pngFileName,"png");
}
//-------------------------
// generate toy experiments
TH1F* h_BKGRes = new TH1F("h_BKGRes","",200,-400,400);
TH1F* h_SIGRes = new TH1F("h_SIGRes","",200,-400,400);
TRandom3 B;
TRandom3 S;
for(int j = 0; j < nToys; ++j)
{
if( j%100 == 0 )
std::cout << ">>>>>> generating toy experiment " << j << std::endl;
NBKGToy = B.Poisson(BKGTotShapeHisto->Integral());
NSIGToy = 0;
if( mode == "discovery" ) NSIGToy = S.Poisson(SIGShapeHisto->Integral());
rooBKGToyDataSet = rooBKGTotPdf->generate(RooArgSet(x),NBKGToy);
rooSIGToyDataSet = rooSIGPdf->generate(RooArgSet(x),NSIGToy);
rooBKGToyDataSet -> append(*rooSIGToyDataSet);
NBKGToy_signal = rooBKGToyDataSet->sumEntries(signalCut);
NBKGToy_signal_fit = 0.;
// fit
if( mode == "exclusion" ) rooTotPdf -> fitTo(*rooBKGToyDataSet,Extended(kTRUE),PrintLevel(-1),Range("low,high"));
if( mode == "discovery" ) rooTotPdf -> fitTo(*rooBKGToyDataSet,Extended(kTRUE),PrintLevel(-1));
// count events
if( mode == "exclusion" )
{
RooAbsReal* rooTotIntegral = rooTotPdf -> createIntegral(x,NormSet(x),Range("signal"));
NBKGToy_signal_fit = rooTotIntegral->getVal() * rooNBKGTot->getVal();
h_BKGRes -> Fill(NBKGToy_signal_fit - NBKGToy_signal);
h_SIGRes -> Fill(0.);
}
if( mode == "discovery" )
{
h_BKGRes -> Fill(rooNBKGTot->getVal() - NBKGToy);
h_SIGRes -> Fill(rooNSIG->getVal() - NSIGToy);
}
}
outFile -> cd();
h_BKGRes -> Write();
h_SIGRes -> Write();
outFile -> Close();
}
void embeddedToysVBF_1DKD(int nEvts=50, int nToys=100,
sample mySample = kScalar_fa3_0){
RooRealVar* kd = new RooRealVar("psMELA","psMELA",0,1);
kd->setBins(50);
RooPlot* kdframe1 = kd->frame();
// 0- template
TFile f1("ggH2j_KDdistribution_ps.root", "READ");
TH2F *h_KD_ps = (TH2F*)f1.Get("h_KD");
h_KD_ps->SetName("h_KD_ps");
RooDataHist rdh_KD_ps("rdh_KD_ps","rdh_KD_ps",RooArgList(*kd),h_KD_ps);
RooHistPdf pdf_KD_ps("pdf_KD_ps","pdf_KD_ps",RooArgList(*kd),rdh_KD_ps);
// 0+ template
TFile f2("ggH2j_KDdistribution_sm.root", "READ");
TH2F *h_KD_sm = (TH2F*)f2.Get("h_KD");
h_KD_sm->SetName("h_KD_sm");
RooDataHist rdh_KD_sm("rdh_KD_sm","rdh_KD_sm",RooArgList(*kd),h_KD_sm);
RooHistPdf pdf_KD_sm("pdf_KD_sm","pdf_KD_sm",RooArgList(*kd),rdh_KD_sm);
RooRealVar rrv_fa3("fa3","fa3",0.5,0.,1.); //free parameter of the model
RooAddPdf model("model","ps+sm",pdf_KD_ps,pdf_KD_sm,rrv_fa3);
rrv_fa3.setConstant(kFALSE);
TCanvas* c = new TCanvas("modelPlot","modelPlot",400,400);
rdh_KD_ps.plotOn(kdframe1,LineColor(kBlack));
pdf_KD_ps.plotOn(kdframe1,LineColor(kBlack));
rdh_KD_sm.plotOn(kdframe1,LineColor(kBlue));
pdf_KD_sm.plotOn(kdframe1,LineColor(kBlue));
model.plotOn(kdframe1,LineColor(kRed));
kdframe1->Draw();
c->SaveAs("model1DPlot.png");
c->SaveAs("model1DPlot.eps");
double fa3Val=-99;
if (mySample == kScalar_fa3_0)
fa3Val=0.;
else if (mySample == kScalar_fa3_1)
fa3Val=1;
else{
cout<<"fa3Val not correct!"<<endl;
return 0;
}
TCanvas* c = new TCanvas("modelPlot","modelPlot",400,400);
rdh_KD_ps.plotOn(kdframe1,LineColor(kBlack));
pdf_KD_ps.plotOn(kdframe1,LineColor(kBlack));
rdh_KD_sm.plotOn(kdframe1,LineColor(kBlue));
pdf_KD_sm.plotOn(kdframe1,LineColor(kBlue));
model.plotOn(kdframe1,LineColor(kRed));
kdframe1->Draw();
TChain* myChain = new TChain("newTree");
myChain->Add(inputFileNames[mySample]);
if(!myChain || myChain->GetEntries()<=0) {
cout<<"error in the tree"<<endl;
return 0;
}
RooDataSet* data = new RooDataSet("data","data",myChain,RooArgSet(*kd),"");
cout << "Number of events in data: " << data->numEntries() << endl;
// initialize tree to save toys to
TTree* results = new TTree("results","toy results");
double fa3,fa3Error, fa3Pull;
double fa2,fa2Error, fa2Pull;
double phia2, phia2Error, phia2Pull;
double phia3, phia3Error, phia3Pull;
results->Branch("fa3",&fa3,"fa3/D");
results->Branch("fa3Error",&fa3Error,"fa3Error/D");
results->Branch("fa3Pull",&fa3Pull,"fa3Pull/D");
//---------------------------------
RooDataSet* toyData;
int embedTracker=0;
RooArgSet *tempEvent;
RooFitResult *toyfitresults;
RooRealVar *r_fa3;
for(int i = 0 ; i<nToys ; i++){
cout <<i<<"<-----------------------------"<<endl;
//if(toyData) delete toyData;
toyData = new RooDataSet("toyData","toyData",RooArgSet(*kd));
if(nEvts+embedTracker > data->sumEntries()){
cout << "Playground::generate() - ERROR!!! Playground::data does not have enough events to fill toy!!!! bye :) " << endl;
toyData = NULL;
abort();
return 0;
}
for(int iEvent=0; iEvent<nEvts; iEvent++){
if(iEvent==1)
cout << "generating event: " << iEvent << " embedTracker: " << embedTracker << endl;
tempEvent = (RooArgSet*) data->get(embedTracker);
toyData->add(*tempEvent);
embedTracker++;
}
toyfitresults =model.fitTo(*toyData,Save());
cout<<toyfitresults<<endl;
r_fa3 = (RooRealVar *) toyfitresults->floatParsFinal().find("fa3");
fa3 = r_fa3->getVal();
fa3Error = r_fa3->getError();
fa3Pull = (r_fa3->getVal() - fa3Val) / r_fa3->getError();
// fill TTree
results->Fill();
//model.clear();
}
char nEvtsString[100];
sprintf(nEvtsString,"_%iEvts",nEvts);
// write tree to output file (ouputFileName set at top)
TFile *outputFile = new TFile("embeddedToysVBF_fa3Corr_"+sampleName[mySample]+nEvtsString+".root","RECREATE");
results->Write();
outputFile->Close();
}
void MakeSpinPlots::DrawBlindFit(TString tag, TString mcName,TString cosThetaBin){
TString fitTag="FULLFIT";
TString cat = "evtcat";
if(cosThetaBin!=""){
tag+="_"+cosThetaBin;
fitTag="FULLCOSTFIT";
cat = "evtcat_cosT";
}
TString dataTag = "_Combined";
if(cosThetaBin!="") dataTag+="_CosTBin";
TCanvas *cv = new TCanvas(Form("%s_%s",mcName.Data(),tag.Data()));
RooRealVar* mass = ws->var("mass");
mass->setBins( (mass->getMax() - mass->getMin())/1.5 ); //enfore 1.5GeV bin width
RooPlot* frame = mass->frame();
double Nb = ws->var(Form("Data_BKGFIT_%s_Nbkg",tag.Data()))->getVal();
cout << Nb << endl;
RooDataSet *blind = (RooDataSet*)ws->data("Data"+dataTag)->reduce(TString("((mass<119) || (mass>135.5)) && ")+cat+"=="+cat+"::"+tag);
blind->plotOn(frame);
tPair lbl(mcName,tag);
double nBkg = ws->data("Data"+dataTag)->sumEntries(cat+"=="+cat+"::"+tag);
ws->pdf( Form("Data_BKGFIT_%s_bkgModel",tag.Data()) )->plotOn(frame,RooFit::Range("all"),RooFit::Normalization(nBkg/blind->sumEntries()),
RooFit::LineColor(kRed));
//TLatex *prelim = new TLatex(250,x->GetXmax()-40.,"CMS Preliminary");
TLatex *prelim = new TLatex(0.12,0.96,"CMS Preliminary");
TLatex *lum = new TLatex(0.7,0.96,Form("#sqrt{s}=8 TeV L = %0.1f fb^{-1}",lumi));
prelim->SetNDC();
lum->SetNDC();
prelim->SetTextSize(0.045);
prelim->SetTextColor(kBlack);
lum->SetTextSize(0.045);
lum->SetTextColor(kBlack);
TLatex *owner = new TLatex(0.6,0.88,"Caltech-CMS Preliminary");
owner->SetNDC();
owner->SetTextSize(0.045);
owner->SetTextColor(kBlack);
TLatex *Nbkg = new TLatex(0.7,0.8,Form("N_{bkg}= %0.1f #pm %0.1f",nBackground[lbl].first,nBackground[lbl].second));
Nbkg->SetNDC();
Nbkg->SetTextSize(0.045);
TLatex *sig = new TLatex(0.7,0.72,Form("#sigma_{eff} = %0.1f #pm %0.2f",fitSigEff[lbl].first,fitSigEff[lbl].second));
sig->SetNDC();
sig->SetTextSize(0.045);
TLatex *expBkg = new TLatex(0.7,0.64,Form("B @ 125 = %0.1f",fitBkg1Sigma[lbl].first));
expBkg->SetNDC();
expBkg->SetTextSize(0.045);
frame->addObject(prelim);
frame->addObject(lum);
//frame->addObject(owner);
frame->addObject(Nbkg);
frame->addObject(sig);
frame->addObject(expBkg);
frame->Draw();
cv->SaveAs( basePath+Form("/mgg-%s-%s-%s_BLIND.png",outputTag.Data(),mcName.Data(),tag.Data()) );
cv->SaveAs( basePath+Form("/C/mgg-%s-%s-%s_BLIND.C",outputTag.Data(),mcName.Data(),tag.Data()) );
cv->SaveAs( basePath+Form("/mgg-%s-%s-%s_BLIND.pdf",outputTag.Data(),mcName.Data(),tag.Data()) );
delete cv;
}
int main(int argc, char* argv[]){
string fileName;
string fileNameZee;
string fileNameout;
string outDir;
int ncats;
int jcats;
int bins;
string outfilename;
string logfile;
bool verbose=false;
int mhLow;
int mhHigh;
po::options_description desc("Allowed options");
desc.add_options()
("help,h", "Show help")
("infilename,i", po::value<string>(&fileName)->default_value("CMS-HGG.root"), "In file name")
("infilenameZee,I", po::value<string>(&fileNameZee)->default_value("CMS-HGG_DY_fit.root"), "In file name Zee")
("Outfilename,o", po::value<string>(&fileNameout)->default_value("CMS-HGG_finalBkg.root"), "Out file name")
("outDir,D", po::value<string>(&outDir)->default_value("plots/FinalBackground"), "Out directory for plots")
("logfile,l", po::value<string>(&logfile)->default_value("BackgroundFit.log"), "log file of fit results")
("ncats,c", po::value<int>(&ncats)->default_value(4), "Number of categories")
("jcats,j", po::value<int>(&jcats)->default_value(0), "Start number of categories")
("mhLow,L", po::value<int>(&mhLow)->default_value(75), "Starting point for scan")
("mhHigh,H", po::value<int>(&mhHigh)->default_value(120), "End point for scan")
("bins,B", po::value<int>(&bins)->default_value(45), "Bins for the dataset")
("verbose,v", "Run with more output")
;
po::variables_map vm;
po::store(po::parse_command_line(argc,argv,desc),vm);
po::notify(vm);
if (vm.count("help")) { cout << desc << endl; exit(1); }
if (vm.count("verbose")) verbose=true;
if (!verbose) {
RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR);
RooMsgService::instance().setSilentMode(true);
}
TFile *outputfile;
outputfile = new TFile(fileNameout.c_str(),"RECREATE");
RooWorkspace *outputws;
ofstream logfile_stream(logfile.c_str());
TFile *inFile = TFile::Open(fileName.c_str());
RooWorkspace *inWS = (RooWorkspace*)inFile->Get("cms_hgg_workspace");
outputws = (RooWorkspace*)inWS->Clone("cms_hgg_workspace");
std::string ext = "8TeV";
vector<pair<string,int> > funChoice; // <functionType,order>
funChoice.push_back(pair<string,int>("Bernstein",4)); //cat0
funChoice.push_back(pair<string,int>("Bernstein",5)); //cat1
funChoice.push_back(pair<string,int>("Bernstein",5)); //cat2
funChoice.push_back(pair<string,int>("Bernstein",5)); //cat3
PdfModelBuilder pdfsModel;
RooRealVar *mass = (RooRealVar*)inWS->var("CMS_hgg_mass");
pdfsModel.setObsVar(mass);
//mass->setBins(bins);
//mass->setRange(85,110);
for (int cat=jcats; cat<ncats; cat++){
RooDataSet *data = (RooDataSet*)inWS->data(Form("data_mass_cat%d",cat));
//RooDataHist thisdataBinned(Form("roohist_data_mass_cat%d",cat),"data",*mass,*dataFull); //FAN Procedure (from an official script)
//RooDataSet *data = (RooDataSet*)&thisdataBinned;
RooAbsPdf *pdfZee;
TFile *inFileZee = TFile::Open(fileNameZee.c_str());
RooWorkspace *inWS_Zee = (RooWorkspace*)inFileZee->Get("Zpeak");
cout<<endl<<"///////////////////////////////////"<<endl;
inWS_Zee->Print();
cout<<"///////////////////////////////////"<<endl<<endl;
pdfZee = inWS_Zee->pdf(Form("hgg_bkg_%s_cat%d_DCB",ext.c_str(),cat));
cout<<endl<<"///////////////////////////////////"<<endl;
pdfZee->Print();
cout<<"///////////////////////////////////"<<endl<<endl;
//RooAbsPdf *pdfZeeFixed=pdfsModel.floatDoubleCB(pdfZee,data,Form("hgg_bkg_%s_cat%d_DCB",ext.c_str(),cat));
RooAbsPdf *pdfZeeFixed=pdfsModel.fixDoubleCB(pdfZee,data,Form("hgg_bkg_%s_cat%d_DCB",ext.c_str(),cat));
RooAbsPdf *bkgPdf;
RooAbsPdf *berComponent;
RooAbsPdf *dcbComponent;
string funcType = funChoice[cat].first;
int orderOff = funChoice[cat].second;
bkgPdf = pdfsModel.getFixedDoubleCBplusContinuum(funcType,Form("hgg_bkg_%s_cat%d",ext.c_str(),cat),orderOff,pdfZeeFixed,false).first;
berComponent = pdfsModel.getFixedDoubleCBplusContinuum(funcType,Form("hgg_bkg_%s_cat%d",ext.c_str(),cat),orderOff,pdfZeeFixed,false).second.first;
dcbComponent = pdfsModel.getFixedDoubleCBplusContinuum(funcType,Form("hgg_bkg_%s_cat%d",ext.c_str(),cat),orderOff,pdfZeeFixed,false).second.second;
cout<<endl<<"///////////////////////////////////"<<endl;
bkgPdf->Print();
cout<<"///////////////////////////////////"<<endl<<endl;
cout<<endl<<"///////////////////////////////////"<<endl;
bkgPdf->getParameters(data)->Print();
cout<<"///////////////////////////////////"<<endl<<endl;
int fitStatus = 0;
double thisNll=0.;
runFit(bkgPdf,data,&thisNll,&fitStatus,3,mhLow,mhHigh);
//RooFitResult *fitRes = bkgPdf->fitTo(*data,Save(true),Range(mhLow,mhHigh));
//plot(mass,bkgPdf,data,Form("%s/hgg_bkg_%s_cat%d",outDir.c_str(),ext.c_str(),cat),bins,mhLow,mhHigh);
//print results in log file
RooArgSet *params = bkgPdf->getParameters(*data);
float Mean = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_mean",ext.c_str(),cat)))->getValV();
float MeanErrorL = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_mean",ext.c_str(),cat)))->getErrorLo();
float MeanErrorH = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_mean",ext.c_str(),cat)))->getErrorHi();
float Sigma = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_sigma",ext.c_str(),cat)))->getValV();
float SigmaErrorL = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_sigma",ext.c_str(),cat)))->getErrorLo();
float SigmaErrorH = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_sigma",ext.c_str(),cat)))->getErrorHi();
float nCB1 = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB1",ext.c_str(),cat)))->getValV();
float nCB1ErrorL = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB1",ext.c_str(),cat)))->getErrorLo();
float nCB1ErrorH = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB1",ext.c_str(),cat)))->getErrorHi();
float nCB2 = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB2",ext.c_str(),cat)))->getValV();
float nCB2ErrorL = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB2",ext.c_str(),cat)))->getErrorLo();
float nCB2ErrorH = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB2",ext.c_str(),cat)))->getErrorHi();
float alphaCB1 = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_alphaCB1",ext.c_str(),cat)))->getValV();
float alphaCB2 = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_alphaCB2",ext.c_str(),cat)))->getValV();
logfile_stream << Form("**************** cat: %d ***************",cat) <<endl<<" nEntries "<<data->sumEntries() << endl << " Mean: " << Mean << " MeanErrorL: " << MeanErrorL << " MeanErrorH: "<< MeanErrorH << " Sigma: " << Sigma << " SigmaErrorL: " << SigmaErrorL << " SigmaErrorH: " << SigmaErrorH << " nCB1: " << nCB1 << " nCB1ErrorL: " << nCB1ErrorL << " nCB1ErrorH: " << nCB1ErrorH << " nCB2: " << nCB2 << " nCB2ErrorL: " << nCB2ErrorL << " nCB2ErrorH: " << nCB2ErrorH << " alphaCB1: " << alphaCB1 << " alphaCB2: " << alphaCB2 << endl;
float frac = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_frac_sum1",ext.c_str(),cat)))->getValV();
float fracErrorL = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_frac_sum1",ext.c_str(),cat)))->getErrorLo();
float fracErrorH = ((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_frac_sum1",ext.c_str(),cat)))->getErrorHi();
logfile_stream <<" Frac "<<frac<<" FracErrorL "<<fracErrorL<<" FracErrorH "<<fracErrorH<<endl;
for(int i=0;i<orderOff;i++){
RooRealVar *coeff=(RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_%s_p%i",ext.c_str(),cat,abbr(funcType).c_str(),i));
logfile_stream <<Form(" %s_%i: ",funcType.c_str(),i)<<coeff->getValV()<<Form(" %s_%i ErrorL: ",funcType.c_str(),i)<<coeff->getErrorLo()<<Form(" %s_%i ErrorH: ",funcType.c_str(),i)<<coeff->getErrorHi();
}
logfile_stream<<endl;
plot2(mass,bkgPdf,berComponent,dcbComponent,frac,data,Form("%s/hgg_bkg_%s_cat%d",outDir.c_str(),ext.c_str(),cat),bins,mhLow,mhHigh);
//Let the DCB parameter float within their uncertaincy range in combine ?
((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_mean",ext.c_str(),cat)))->setConstant(false);
((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_sigma",ext.c_str(),cat)))->setConstant(false);
((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB1",ext.c_str(),cat)))->setConstant(false);
((RooRealVar*)params->find(Form("hgg_bkg_%s_cat%d_DCB_nCB2",ext.c_str(),cat)))->setConstant(false);
outputws->var(Form("pdf_data_pol_model_8TeV_cat%d_norm",cat))->SetName(Form("hgg_bkg_8TeV_cat%d_DCBplusBernstein_norm",cat));
outputws->import(*bkgPdf);
}
outputfile->cd();
outputws->Write();
cout<<endl<<"///////////////////////////////////"<<endl;
//outputws->Print();
cout<<"///////////////////////////////////"<<endl<<endl;
outputfile->Close();
}
int main(int argc, char* argv[]){
string fileName;
string fileNameZee;
string functionName;
string fileNameout;
int ncats;
int jcats;
int bins;
string outfilename;
bool is2011=false;
bool useDoubleCB=false;
bool verbose=false;
int mhLow;
int mhHigh;
po::options_description desc("Allowed options");
desc.add_options()
("help,h", "Show help")
("infilename,i", po::value<string>(&fileName), "In file name")
("infilenameZee,I", po::value<string>(&fileNameZee), "In file name Zee")
("function,f", po::value<string>(&functionName), "Function to use")
("Outfilename,o", po::value<string>(&fileNameout), "Out file name")
("ncats,c", po::value<int>(&ncats)->default_value(5), "Number of categories")
("jcats,j", po::value<int>(&jcats)->default_value(0), "Start number of categories")
("mhLow,L", po::value<int>(&mhLow)->default_value(75), "Starting point for scan")
("mhHigh,H", po::value<int>(&mhHigh)->default_value(120), "End point for scan")
("bins,B", po::value<int>(&bins)->default_value(180), "Bins for the dataset")
("is2011", "Run 2011 config")
("useDoubleCB", "use double crystal ball function")
("verbose,v", "Run with more output")
;
po::variables_map vm;
po::store(po::parse_command_line(argc,argv,desc),vm);
po::notify(vm);
if (vm.count("help")) { cout << desc << endl; exit(1); }
if (vm.count("is2011")) is2011=true;
if (vm.count("useDoubleCB")) useDoubleCB=true;
if (vm.count("verbose")) verbose=true;
if (!verbose) {
RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR);
RooMsgService::instance().setSilentMode(true);
}
TFile *outputfile;
//RooWorkspace *outputws = new RooWorkspace("cms_hgg_workspace");
RooWorkspace *outputws;
outputfile = new TFile(fileNameout.c_str(),"RECREATE");
TFile *inFile = TFile::Open(fileName.c_str());
RooWorkspace *inWS = (RooWorkspace*)inFile->Get("cms_hgg_workspace");
outputws = (RooWorkspace*)inWS->Clone("cms_hgg_workspace");
vector<string> functionClasses;
functionClasses.push_back("Chebychev");
functionClasses.push_back("Bernstein");
functionClasses.push_back("Exponential");
functionClasses.push_back("PowerLaw");
functionClasses.push_back("Laurent");
map<string,string> namingMap;
namingMap.insert(pair<string,string>("Bernstein","pol"));
namingMap.insert(pair<string,string>("Exponential","exp"));
namingMap.insert(pair<string,string>("PowerLaw","pow"));
namingMap.insert(pair<string,string>("Laurent","lau"));
vector<pair<pair<string,int> ,pair<pair<int,int>, pair<float,float> > > > fabChoice;
int sqrts; string ext;
if (is2011) {
sqrts = 7;
ext = "7TeV";
}
else {
sqrts = 8;
ext = "8TeV";
fabChoice.push_back(pair<pair<string,int>, pair<pair<int,int>, pair<float,float> > >(make_pair("Bernstein",-3),make_pair(make_pair(5,1), make_pair(-11.0,11.0)))); //0
fabChoice.push_back(pair<pair<string,int>, pair<pair<int,int>, pair<float,float> > >(make_pair("Bernstein",-3),make_pair(make_pair(5,1), make_pair(-11.0,11.0)))); //1
fabChoice.push_back(pair<pair<string,int>, pair<pair<int,int>, pair<float,float> > >(make_pair("Chebychev",-3),make_pair(make_pair(5,1), make_pair(-11.0,11.0)))); //2
fabChoice.push_back(pair<pair<string,int>, pair<pair<int,int>, pair<float,float> > >(make_pair("Bernstein",-3),make_pair(make_pair(5,1), make_pair(-11.0,11.0)))); //3
}
// store results here
PdfModelBuilderFAN pdfsModel;
RooRealVar *mass = (RooRealVar*)inWS->var("CMS_hgg_mass");
mass->setRange(mhLow,mhHigh);
pdfsModel.setObsVar(mass);
mass->setBins(bins);
ofstream outfile("Zee_Yield.log");
cout<<"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Initialization Done +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<endl;
for (int cat=jcats; cat<ncats; cat++){
RooDataSet *dataFull = (RooDataSet*)inWS->data(Form("data_mass_cat%d",cat));
RooDataHist thisdataBinned(Form("roohist_data_mass_cat%d",cat),"data",*mass,*dataFull);
RooDataSet *data = (RooDataSet*)&thisdataBinned;
string funcType = fabChoice[cat].first.first;
float LaurentConstant = fabChoice[cat].first.second;
int orderOff = fabChoice[cat].second.first.first;
int orderBre = fabChoice[cat].second.first.second;
float bernDownBound = fabChoice[cat].second.second.first;
float bernUpBound = fabChoice[cat].second.second.second;
RooAbsPdf *pdfVoiFix; float voiMean=0.; float voiMeanErrorL=0.; float voiMeanErrorH=0.; float voiSigma=0.; float voiSigmaErrorL=0.; float voiSigmaErrorH=0.; float voiWidth=0; float voiWidthErrorL=0.; float voiWidthErrorH=0.; float voinCB1=0.; float voinCB1ErrorL=0.; float voinCB1ErrorH=0.; float voinCB2=0.; float voinCB2ErrorL=0.; float voinCB2ErrorH=0.; float voialphaCB1=0.; float voialphaCB2=0.; float ErrorRange=1.0;
if(orderBre != 0){
TFile *inFileZee = TFile::Open(fileNameZee.c_str());
RooWorkspace *inWS_Zee = (RooWorkspace*)inFileZee->Get("fTestVoi_Zee");
if(!useDoubleCB) pdfVoiFix = inWS_Zee->pdf(Form("ftest_Zee_Voi_%s_cat%d",ext.c_str(),cat));
else pdfVoiFix = inWS_Zee->pdf(Form("ftest_Zee_DCB_%s_cat%d",ext.c_str(),cat));
cout<<"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Get Zee Done +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<endl;
if(pdfVoiFix!=NULL){
if(!useDoubleCB){
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_mean_p0",ext.c_str(),cat)))->setConstant(true);
voiMean = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_mean_p0",ext.c_str(),cat)))->getValV();
voiMeanErrorL = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_mean_p0",ext.c_str(),cat)))->getErrorLo();
voiMeanErrorH = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_mean_p0",ext.c_str(),cat)))->getErrorHi();
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_sigma_p0",ext.c_str(),cat)))->setConstant(true);
voiSigma = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_sigma_p0",ext.c_str(),cat)))->getValV();
voiSigmaErrorL = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_sigma_p0",ext.c_str(),cat)))->getErrorLo();
voiSigmaErrorH = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_sigma_p0",ext.c_str(),cat)))->getErrorHi();
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_width_p0",ext.c_str(),cat)))->setConstant(true);
voiWidth = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_width_p0",ext.c_str(),cat)))->getValV();
voiWidthErrorL = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_width_p0",ext.c_str(),cat)))->getErrorLo();
voiWidthErrorH = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_Voi_%s_cat%d_width_p0",ext.c_str(),cat)))->getErrorHi();
}else{
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_mean_p0",ext.c_str(),cat)))->setConstant(true);
voiMean = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_mean_p0",ext.c_str(),cat)))->getValV();
voiMeanErrorL = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_mean_p0",ext.c_str(),cat)))->getErrorLo();
voiMeanErrorH = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_mean_p0",ext.c_str(),cat)))->getErrorHi();
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_sigma_p0",ext.c_str(),cat)))->setConstant(true);
voiSigma = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_sigma_p0",ext.c_str(),cat)))->getValV();
voiSigmaErrorL = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_sigma_p0",ext.c_str(),cat)))->getErrorLo();
voiSigmaErrorH = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_sigma_p0",ext.c_str(),cat)))->getErrorHi();
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB1_p0",ext.c_str(),cat)))->setConstant(true);
voinCB1 = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB1_p0",ext.c_str(),cat)))->getValV();
voinCB1ErrorL = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB1_p0",ext.c_str(),cat)))->getErrorLo();
voinCB1ErrorH = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB1_p0",ext.c_str(),cat)))->getErrorHi();
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB2_p0",ext.c_str(),cat)))->setConstant(true);
voinCB2 = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB2_p0",ext.c_str(),cat)))->getValV();
voinCB2ErrorL = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB2_p0",ext.c_str(),cat)))->getErrorLo();
voinCB2ErrorH = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_nCB2_p0",ext.c_str(),cat)))->getErrorHi();
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_alphaCB1_p0",ext.c_str(),cat)))->setConstant(true);
voialphaCB1 = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_alphaCB1_p0",ext.c_str(),cat)))->getValV();
((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_alphaCB2_p0",ext.c_str(),cat)))->setConstant(true);
voialphaCB2 = ((RooRealVar*)inWS_Zee->allVars().find(Form("ftest_Zee_DCB_%s_cat%d_alphaCB2_p0",ext.c_str(),cat)))->getValV();
}
}
}
else{
pdfVoiFix = 0;
}
cout<<"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Get Zee Params Done +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<endl;
RooAbsPdf *bkgPdf;
if(orderBre == 0){
bkgPdf = getPdf(pdfsModel, funcType, orderOff, Form("pdf_data_pol_model_%dTeV_cat%d",sqrts,cat), LaurentConstant);
bkgPdf->SetName(Form("pdf_data_pol_model_%dTeV_cat%d",sqrts,cat));
}
else{
if(functionName == "Voi"){
if(!useDoubleCB){
bkgPdf = getPdfSumVoigtianFixNew(pdfsModel, funcType, orderOff, voiMean, voiMeanErrorL, voiMeanErrorH, voiSigma, voiSigmaErrorL, voiSigmaErrorH, voiWidth, voiWidthErrorL, voiWidthErrorH, ErrorRange, Form("pdf_data_pol_model_%dTeV_cat%d",sqrts,cat), LaurentConstant, bernDownBound, bernUpBound).first;
}else{
bkgPdf = getPdfSumVoigtianFixNewDouleCB(pdfsModel, funcType, orderOff, voiMean, voiMeanErrorL, voiMeanErrorH, voiSigma, voiSigmaErrorL, voiSigmaErrorH, voinCB1, voinCB1ErrorL, voinCB1ErrorH, voinCB2, voinCB2ErrorL, voinCB2ErrorH, voialphaCB1, voialphaCB2, ErrorRange, Form("pdf_data_pol_model_%dTeV_cat%d",sqrts,cat), LaurentConstant, bernDownBound, bernUpBound).first;
}
}
bkgPdf->SetName(Form("pdf_data_pol_model_%dTeV_cat%d",sqrts,cat));
}
RooArgSet *params = bkgPdf->getParameters(*data);
params->Print("v");
cout<<"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Prepare Final Pdf Done +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<endl;
RooFitResult *fitRes = bkgPdf->fitTo(*data,Save(true),Range(mhLow,mhHigh));
fitRes->floatParsInit().Print("v");
fitRes->floatParsFinal().Print("v");
if(voiMean != 0){
if(!useDoubleCB){
((RooRealVar*)params->find(Form("pdf_data_pol_model_8TeV_cat%d_Fvoimean",cat)))->setConstant(false);
((RooRealVar*)params->find(Form("pdf_data_pol_model_8TeV_cat%d_Fvoisigma",cat)))->setConstant(false);
((RooRealVar*)params->find(Form("pdf_data_pol_model_8TeV_cat%d_Fvoiwidth",cat)))->setConstant(false);
}else{
((RooRealVar*)params->find(Form("pdf_data_pol_model_8TeV_cat%d_Fdcbmean",cat)))->setConstant(false);
((RooRealVar*)params->find(Form("pdf_data_pol_model_8TeV_cat%d_Fdcbsigma",cat)))->setConstant(false);
((RooRealVar*)params->find(Form("pdf_data_pol_model_8TeV_cat%d_FdcbnCB1",cat)))->setConstant(false);
((RooRealVar*)params->find(Form("pdf_data_pol_model_8TeV_cat%d_FdcbnCB2",cat)))->setConstant(false);
}
params->Print("v");
float BernFrac = ((RooRealVar*)fitRes->floatParsFinal().find(Form("pdf_data_pol_model_8TeV_cat%d_frac_sum1",cat)))->getValV();
if(!useDoubleCB){
outfile << Form("cat %d ",cat) << data->sumEntries()*(1.0-BernFrac) << " Mean " << voiMean << " voiMeanErrorL " << voiMeanErrorL << " voiMeanErrorH "<< voiMeanErrorH << " voiSigma " << voiSigma << " voiSigmaErrorL " << voiSigmaErrorL << " voiSigmaErrorH " << voiSigmaErrorH << " voiWidth " << voiWidth << " voiWidthErrorL " << voiWidthErrorL << " voiWidthErrorH " << voiWidthErrorH << endl;
outfile << endl;
}else{
outfile << Form("cat %d ",cat) << data->sumEntries()*(1.0-BernFrac) << " Mean " << voiMean << " voiMeanErrorL " << voiMeanErrorL << " voiMeanErrorH "<< voiMeanErrorH << " voiSigma " << voiSigma << " voiSigmaErrorL " << voiSigmaErrorL << " voiSigmaErrorH " << voiSigmaErrorH << " nCB1 " << voinCB1 << " nCB1ErrorL " << voinCB1ErrorL << " nCB1ErrorH " << voinCB1ErrorH << " nCB2 " << voinCB2 << " nCB2ErrorL " << voinCB2ErrorL << " nCB2ErrorH " << voinCB2ErrorH << "bernfrac "<<BernFrac<< endl;
}
}
outputws->pdf(Form("pdf_data_pol_model_%dTeV_cat%d",sqrts,cat))->SetName(Form("pdf_data_pol_model_%dTeV_cat%d_OLD",sqrts,cat));
outputws->import(*bkgPdf);
//outputws->import(*data);
outputws->pdf(Form("pdf_data_pol_model_%dTeV_cat%d",sqrts,cat))->Print();
outputws->data(Form("data_mass_cat%d",cat))->Print("v");
outputws->data(Form("roohist_data_mass_cat%d",cat))->Print("v");
}
outputfile->cd();
outputws->Write();
outputfile->Close();
}