rs602_HLFactoryCombinationexample.C File Reference

Detailed Description

High Level Factory: creation of a combined model

 
[#1] INFO:Minimization -- p.d.f. provides expected number of events, including extended term in likelihood.
[#1] INFO:Fitting -- RooAbsPdf::fitTo(HLFavtoryCombinationexample_sigbkg) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using CPU computation library compiled with -mavx512
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_HLFavtoryCombinationexample_sigbkg_hmaster) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
Minuit2Minimizer: Minimize with max-calls 3000 convergence for edm < 1 strategy 1
Minuit2Minimizer : Valid minimum - status = 0
FVAL  = 199.349002773492998
Edm   = 3.0053772765520453e-05
Nfcn  = 93
mean1   = 49.8783  +/-  0.42659  (limited)
mean2   = 79.8952  +/-  0.649972 (limited)
nbkg1   = 91.8179  +/-  10.6581  (limited)
nbkg2   = 82.5577  +/-  10.3903  (limited)
nsig1   = 119.174  +/-  11.8598  (limited)
nsig2   = 92.432   +/-  10.8502  (limited)
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
[#1] INFO:Plotting -- RooSimultaneous::plotOn(HLFavtoryCombinationexample_sigbkg) plot on x represents a slice in the index category (HLFavtoryCombinationexample_category)
[#1] INFO:Plotting -- RooAbsReal::plotOn(sb_model1) slice variable HLFavtoryCombinationexample_category was not projected anyway
[#1] INFO:Plotting -- RooSimultaneous::plotOn(HLFavtoryCombinationexample_sigbkg) plot on x represents a slice in the index category (HLFavtoryCombinationexample_category)
[#1] INFO:Plotting -- RooAbsReal::plotOn(sb_model2) slice variable HLFavtoryCombinationexample_category was not projected anyway

 
#include <fstream>
#include "TString.h"
#include "TROOT.h"
#include "RooGlobalFunc.h"
#include "RooWorkspace.h"
#include "RooRealVar.h"
#include "RooAbsPdf.h"
#include "RooDataSet.h"
#include "RooPlot.h"
#include "RooStats/HLFactory.h"
 
// use this order for safety on library loading
using namespace RooFit;
using namespace RooStats;
using std::ofstream;
 
void rs602_HLFactoryCombinationexample()
{
   // create a card
   TString card_name("HLFavtoryCombinationexample.rs");
   ofstream ofile(card_name);
   ofile << "// The simplest card for combination\n\n"
         << "gauss1 = Gaussian(x[0,100],mean1[50,0,100],4);\n"
         << "flat1 = Polynomial(x,0);\n"
         << "sb_model1 = SUM(nsig1[120,0,300]*gauss1 , nbkg1[100,0,1000]*flat1);\n"
         << "gauss2 = Gaussian(x,mean2[80,0,100],5);\n"
         << "flat2 = Polynomial(x,0);\n"
         << "sb_model2 = SUM(nsig2[90,0,400]*gauss2 , nbkg2[80,0,1000]*flat2);\n";
 
   ofile.close();
 
   HLFactory hlf("HLFavtoryCombinationexample", card_name, false);
 
   hlf.AddChannel("model1", "sb_model1", "flat1");
   hlf.AddChannel("model2", "sb_model2", "flat2");
   auto pdf = hlf.GetTotSigBkgPdf();
   auto thecat = hlf.GetTotCategory();
   auto x = static_cast<RooRealVar *>(hlf.GetWs()->arg("x"));
 
   auto data = pdf->generate(RooArgSet(*x, *thecat), Extended());
 
   // --- Perform extended ML fit of composite PDF to toy data ---
   pdf->fitTo(*data);
 
   // --- Plot toy data and composite PDF overlaid ---
   auto xframe = x->frame();
 
   data->plotOn(xframe);
   thecat->setIndex(0);
   pdf->plotOn(xframe, Slice(*thecat), ProjWData(*thecat, *data));
 
   thecat->setIndex(1);
   pdf->plotOn(xframe, Slice(*thecat), ProjWData(*thecat, *data));
 
   gROOT->SetStyle("Plain");
   xframe->Draw();
}

Author

Danilo Piparo

Definition in file rs602_HLFactoryCombinationexample.C.