Ejemplo n.º 1
0
void buildPdf()
{
    
    Double_t lorange = 100.;
    Double_t hirange = 140.;
    
    // Import data
    TFile *file = new TFile("/atlas/data18a/yupan/HZZ4l2012/MiniTree/data12.root");
    TTree *tree = (TTree*)file->Get("tree_incl_4mu");
    // should include all channels, for now just testing...
    
    // Define variables
    Float_t m4l = 0;
    Float_t m4lerr = 0;
   // Float_t wgt = 0;
    
    // Get number of entries and setbranchaddress
    Int_t nevents = tree->GetEntries();
    
    tree->SetBranchStatus("*",0);
    tree->SetBranchStatus("m4l_unconstrained",1);
    tree->SetBranchStatus("m4lerr_unconstrained",1);
    //tree->SetBranchStatus("weight",1);
    
    tree->SetBranchAddress("m4l_unconstrained",&m4l);
    tree->SetBranchAddress("m4lerr_unconstrained",&m4lerr);
    //tree->SetBranchAddress("weight",&wgt);
    
    ///////////////
    // Build pdfs
    //////////////
    RooRealVar* mass = new RooRealVar("m4l","mass",lorange,hirange,"GeV");
    RooRealVar merr("m4lerr","mass err",0.1,4.0,"GeV");
    //RooRealVar weight("weight","weight",0,10);
    
    RooRealVar scale("scale","per-event error scale factor",1.0,0.2,4.0);
    RooProduct sigmaErr("sigmaErr","sigmaErr",RooArgSet(scale,merr));
   
    /*
    float totalwgt(0);
    for (Int_t i=0; i<nevents; i++) {
        tree->GetEntry(i);
        totalwgt+=wgt;
    }
    std::cout<<"total weight = "<<totalwgt<<std::endl;
   */ 
    /// Make DataSet
    RooDataSet signal("signal","signal",RooArgSet(*mass,merr));
    
    std::cout<<"Reading in events from signal minitree"<<std::endl;
    for (Int_t i=0; i<nevents; i++) {
        tree->GetEntry(i);
        mass->setVal(m4l);
        merr.setVal(m4lerr);
        //weight.setVal(wgt/totalwgt);
        signal.add(RooArgSet(*mass,merr));
    }
    
    // Create 1D kernel estimation for signal mass
    std::cout<<"Building mass keys"<<std::endl;
    RooKeysPdf kestsig("kestsig","kestsig",*mass,signal);
    TH1F* hm = (TH1F*)kestsig.createHistogram("hm",*mass);
    kestsig.fillHistogram(hm,RooArgList(*mass));
    std::cout<<"Building mass pdf"<<std::endl;
    RooDataHist* dmass = new RooDataHist("dmass","binned dataset",*mass,hm);
    RooHistPdf* masspdf = new RooHistPdf("masspdf","pdf(dm)",*mass,*dmass,2);
    
    // Create 1D kernel estimation for mass err
    std::cout<<"Building error keys"<<std::endl;
    RooKeysPdf kestsigerr("kestsigerr","kestsigerr",merr,signal,RooKeysPdf::MirrorBoth,2);
    TH1F* herr = (TH1F*)kestsigerr.createHistogram("herr",merr);
    kestsigerr.fillHistogram(herr,RooArgList(merr));
    std::cout<<"Integral "<<herr->Integral()<<std::endl;
    std::cout<<"Building error pdf"<<std::endl;
    RooDataHist* derr = new RooDataHist("derr","binned dataset",merr,herr);
    RooHistPdf* errpdf = new RooHistPdf("errpdf","pdf(de)",merr,*derr,2);
    
    
    //Make the crystal ball resolution model with CB sigma = mass error
    RooRealVar 	meanCB 	("meanCB",  "mean CB", hmass, hmass-10., hmass+5.);
    RooRealVar 	alphaCB	("alphaCB", "alpha CB", 7, 0., 10.);
    RooRealVar 	nnCB   	("nnCB", "nn CB", 1.5, 0., 15.);
    RooCBShape* shapeCB = new RooCBShape("shapeCB", "crystal ball pdf", *mass, meanCB, sigmaErr, alphaCB, nnCB);

    // Make conditional pdf
    RooProdPdf* sigmodel = new RooProdPdf("sigmodel","sigmodel", *errpdf, Conditional(*shapeCB, *mass));

    
    
    // Make a workspace to store the fit model
    RooWorkspace* pdfWsp = new RooWorkspace("pdfWspCB");
    pdfWsp->import(*sigmodel,RecycleConflictNodes());
    pdfWsp->import(*masspdf);
    pdfWsp->import(*errpdf,RecycleConflictNodes());
    pdfWsp->import(signal);
    pdfWsp->Print();
    pdfWsp->writeToFile("pdfWspCB.root");
    
    
    // Make some plots
    TCanvas *c = new TCanvas("c","c",500,500);
    c->Divide(2);
    RooPlot* frame = merr.frame(Title("keys signal error"));
    signal.plotOn(frame);
    kestsigerr.plotOn(frame,LineColor(kRed));
    errpdf->plotOn(frame);
    
    RooPlot* frame2 = mass->frame(Title("keys signal"));
    signal.plotOn(frame2);
    kestsig.plotOn(frame2,LineColor(kRed));
    masspdf->plotOn(frame2);
    
    c->cd(2);
    frame->Draw();
    c->cd(1);
    grame2->Draw();
    
    c->Print("testPdf.png");
    
    
}
Ejemplo n.º 2
0
void runUPWW() {
  
  int higgsMass=125;
  double intLumi=5.1;
  int nToys = 10;
  bool draw=true;
  
  using namespace RooFit;
  
  gROOT->ProcessLine(".L ~/tdrstyle.C");
  setTDRStyle();
  gStyle->SetPadLeftMargin(0.16);
  gROOT->ForceStyle();
  gROOT->ProcessLine(".L statsFactory.cc+");
  
  //
  // set up test kind 
  // 
  
  double sigRate;
  double bkgRate;
  
  if(higgsMass==125){
    sigRate = 7.;
    bkgRate = 66.;
  }else{
    cout << "HMMMM.... I don't know that mass point...BYE!" << endl;
    return;
  }
  
  RooRealVar* mll  = new RooRealVar("mll","dilepton mass [GeV]", 12, 80.);
  mll->setBins(17);
  
  RooArgSet* obs = new RooArgSet(*mll) ;
  
  // read signal hypothesis 1
  TChain *tsigHyp1 = new TChain("angles");
  tsigHyp1->Add(Form("datafiles/bdtpresel/%i/SMHiggsWW_%i_JHU.root",higgsMass, higgsMass));
  RooDataSet *sigHyp1Data = new RooDataSet("sigHyp1Data","sigHyp1Data",tsigHyp1,*obs);
  RooDataHist *sigHyp1Hist = sigHyp1Data->binnedClone(0);
  RooHistPdf* sigHyp1Pdf = new RooHistPdf("sigHyp1Pdf", "sigHyp1Pdf", *obs, *sigHyp1Hist);

  // read background
  TChain *bkgTree = new TChain("angles");
  bkgTree->Add(Form("datafiles/bdtpresel/%i/WW_madgraph_8TeV.root",higgsMass));
  RooDataSet *bkgData = new RooDataSet("bkgData","bkgData",bkgTree,*obs);
  RooDataHist *bkgHist = bkgData->binnedClone(0);
  RooHistPdf* bkgPdf = new RooHistPdf("bkgPdf", "bkgPdf", *obs, *bkgHist);
    
  char statResults[25];
  statsFactory *hwwuls;
  sprintf(statResults,"uls_hww125_%.0ffb.root", intLumi);
  hwwuls = new statsFactory(obs, sigHyp1Pdf, sigHyp1Pdf, statResults);
  hwwuls->runUpperLimitWithBackground(sigRate*intLumi, bkgRate*intLumi, bkgPdf, nToys);
  delete hwwuls;
  

  // draw plots 
  if(draw) {
    RooPlot* plot1 = mll->frame();
    TString plot1Name = "mll";
    TCanvas* c1 = new TCanvas("c1","c1",400,400); 
    
    bkgData->plotOn(plot1,MarkerColor(kBlack));
    bkgPdf->plotOn(plot1, LineColor(kBlack), LineStyle(kDashed));
    sigHyp1Data->plotOn(plot1,MarkerColor(kRed));
    sigHyp1Pdf->plotOn(plot1,LineColor(kRed), LineStyle(kDashed));      
    
    // draw...
    plot1->Draw();
    c1->SaveAs(Form("plots/ul/epsfiles/%s.eps", plot1Name.Data()));
    c1->SaveAs(Form("plots/ul/pngfiles/%s.png", plot1Name.Data()));
    
    delete c1;
  }
  
  
}
Ejemplo n.º 3
0
void runSigSepWWSingle(int higgsMass, double intLumi, int nToys,  const TestType test, int var, int toy, bool draw, const unsigned int seed) {

    // location of data
    // for ucsd batch submission
    const char *dataLocation = "root://xrootd.unl.edu//store/user/yygao/HWWAngular/datafiles/";
    // for local tests
    // const char *dataLocation = "datafiles/";
    

    //
    // set up test kind 
    // 

    TString testName = getTestName(test);
    TString varName = getVarName(var);
    TString toyName = getToyName(toy);
    
    std::cout << "Doing " << toyName << " studies on " << testName << " separation based on " << varName << "\n";

    double lowMt(0.);
    double highMt = higgsMass;
    double sigRate;
    double bkgRate;
    
    if(higgsMass==125){
      sigRate = 13.0;
      bkgRate = 155.;
    }else{
      cout << "HMMMM.... I don't know that mass point...BYE!" << endl;
      return;
    }
    
    RooRealVar* dphill = new RooRealVar("dphill","#Delta#phi(leptons) [radian]", 0, TMath::Pi());
    dphill->setBins(20);
    RooRealVar* mt  = new RooRealVar("mt","transverse higgs mass", 60, 130);
    mt->setBins(10);
    RooRealVar* mll  = new RooRealVar("mll","dilepton mass [GeV]", 10, 90.);
    mll->setBins(10);
    
    RooArgSet* obs;

    if ( var == DPHI )
      obs = new RooArgSet(*dphill) ;
    
    if ( var == MLL ) 
      obs = new RooArgSet(*mll) ;
    
    if ( var == MLLMT ) 
      obs = new RooArgSet(*mll, *mt) ;

    if ( var == DPHIMT ) 
      obs = new RooArgSet(*dphill, *mt) ;

    //
    // read signal hypothesis 1 always SMHiggs
    // 
    TChain *tsigHyp1 = new TChain("angles");
    tsigHyp1->Add(Form("%s/%i/SMHiggsWW_%i_JHU.root", dataLocation, higgsMass, higgsMass));
    
    RooDataSet *sigHyp1Data = new RooDataSet("sigHyp1Data","sigHyp1Data",tsigHyp1,*obs);
    RooDataHist *sigHyp1Hist = sigHyp1Data->binnedClone(0);
    RooHistPdf* sigHyp1Pdf = new RooHistPdf("sigHyp1Pdf", "sigHyp1Pdf", *obs, *sigHyp1Hist);
      
    // read signal hypothesis 2
    TChain *tsigHyp2 = new TChain("angles");
    TString secondhypName = getSecondHypInputName(test, float(higgsMass));
    tsigHyp2->Add(Form("%s/%i/%s",dataLocation, higgsMass, secondhypName.Data()));
    
    std::cout << secondhypName << "\n";
    
    RooDataSet *sigHyp2Data = new RooDataSet("sigHyp2Data","sigHyp2Data",tsigHyp2,*obs);
    RooDataHist *sigHyp2Hist = sigHyp2Data->binnedClone(0);
    RooHistPdf* sigHyp2Pdf = new RooHistPdf("sigHyp2Pdf", "sigHyp2Pdf", *obs, *sigHyp2Hist);

    // read background
    TChain *bkgTree = new TChain("angles");
    bkgTree->Add(Form("%s/%i/WW_madgraph_8TeV_0j.root",dataLocation,higgsMass));
    RooDataSet *bkgData = new RooDataSet("bkgData","bkgData",bkgTree,*obs);
    RooDataHist *bkgHist = bkgData->binnedClone(0);
    RooHistPdf* bkgPdf = new RooHistPdf("bkgPdf", "bkgPdf", *obs, *bkgHist);


    char statResults[50];
    statsFactory *myHypothesisSeparation;
    sprintf(statResults,"stat_%s_%s_%s_%.0ffb_%u.root",testName.Data(), toyName.Data(), varName.Data(), intLumi, seed);
    printf(statResults);
    myHypothesisSeparation = new statsFactory(obs, sigHyp1Pdf, sigHyp2Pdf, seed, statResults);
    // running pure toys
    myHypothesisSeparation->hypothesisSeparationWithBackground(sigRate*intLumi,sigRate*intLumi,nToys,bkgPdf,bkgRate*intLumi);
    delete myHypothesisSeparation;
    std::cout << "deleted myHypothesisSeparation" << std::endl;

    
    // draw plots 
    if(draw) {
      RooPlot* plot1;
      TString plot1Name;
      TCanvas* c1 = new TCanvas("c1","c1",400,400); 
      
      if ( var == DPHIMT || var == DPHI) {
	plot1 = dphill->frame();
	plot1Name = Form("MELAproj_%s_%s_%s_dphi", testName.Data(), toyName.Data(), varName.Data());
      }
      if ( var == MLL || var == MLLMT) {
	plot1 = mll->frame();
	plot1Name = Form("MELAproj_%s_%s_%s_mll", testName.Data(), toyName.Data(), varName.Data());
      }
      
      bkgData->plotOn(plot1,MarkerColor(kBlack));
      bkgPdf->plotOn(plot1, LineColor(kBlack), LineStyle(kDashed));
      sigHyp1Data->plotOn(plot1,MarkerColor(kRed));
      sigHyp1Pdf->plotOn(plot1,LineColor(kRed), LineStyle(kDashed));      
      sigHyp2Data->plotOn(plot1,MarkerColor(kBlue));
      sigHyp2Pdf->plotOn(plot1,LineColor(kBlue), LineStyle(kDashed));
      
      // draw...
      plot1->Draw();
      c1->SaveAs(Form("plots/epsfiles/%s.eps", plot1Name.Data()));
      c1->SaveAs(Form("plots/pngfiles/%s.png", plot1Name.Data()));

      
      if ( var  == DPHIMT || var == MLLMT ) {
	RooPlot* plot2 = mt->frame();
	TString	plot2Name;
	plot2Name = Form("MELAproj_%s_%s_%s_mt", testName.Data(), toyName.Data(), varName.Data());
	bkgData->plotOn(plot2,MarkerColor(kBlack));
	bkgPdf->plotOn(plot2, LineColor(kBlack), LineStyle(kDashed));
	sigHyp1Data->plotOn(plot2,MarkerColor(kRed));
	sigHyp1Pdf->plotOn(plot2,LineColor(kRed), LineStyle(kDashed));
	sigHyp2Data->plotOn(plot2,MarkerColor(kBlue));
	sigHyp2Pdf->plotOn(plot2,LineColor(kBlue), LineStyle(kDashed));
	c1->Clear();
	plot2->Draw();
	c1->SaveAs(Form("plots/epsfiles/%s.eps", plot2Name.Data()));
	c1->SaveAs(Form("plots/pngfiles/%s.png", plot2Name.Data()));
      }

      delete c1;
      delete plot1;
      delete plot2;
    }

    // tidy up

    delete dphill;
    delete mt;
    delete mll;
    delete obs;
    delete tsigHyp1;
    delete sigHyp1Data;
    delete sigHyp1Pdf;
    delete tsigHyp2;
    delete sigHyp2Data;
    delete sigHyp2Pdf;
    delete bkgTree;
    delete bkgData;
    delete bkgPdf;
    delete myHypothesisSeparation;

}