rs601_HLFactoryexample.C File Reference

Detailed Description

High Level Factory: creation of a simple model

 
[#1] INFO:Minimization -- p.d.f. provides expected number of events, including extended term in likelihood.
[#1] INFO:Fitting -- RooAbsPdf::fitTo(sum) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using CPU computation library compiled with -mavx2
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_sum_sumData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
Minuit2Minimizer: Minimize with max-calls 2500 convergence for edm < 1 strategy 1
Minuit2Minimizer : Valid minimum - status = 0
FVAL  = -18178.1839194288186
Edm   = 7.6129471840253625e-05
Nfcn  = 112
argpar     = -22.9054    +/-  3.42143  (limited)
mean    = 5.27987  +/-  0.000215769 (limited)
nbkg    = 1612.74  +/-  44.6723  (limited)
nsig    = 387.37   +/-  27.7674  (limited)
width   = 0.00300965  +/-  0.000199023 (limited)
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
[#1] INFO:Plotting -- RooAbsPdf::plotOn(sum) directly selected PDF components: (argus)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(sum) indirectly selected PDF components: ()

 
#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 rs601_HLFactoryexample()
{
 
   // --- Build the datacard and dump to file---
 
   TString card_name("HLFavtoryexample.rs");
   ofstream ofile(card_name);
   ofile << "// The simplest card\n\n"
         << "gauss = Gaussian(mes[5.20,5.30],mean[5.28,5.2,5.3],width[0.0027,0.001,1]);\n"
         << "argus = ArgusBG(mes,5.291,argpar[-20,-100,-1]);\n"
         << "sum = SUM(nsig[200,0,10000]*gauss,nbkg[800,0,10000]*argus);\n\n";
 
   ofile.close();
 
   HLFactory hlf("HLFavtoryexample", card_name, false);
 
   // --- Take elements out of the internal workspace ---
 
   auto w = hlf.GetWs();
 
   auto mes = dynamic_cast<RooRealVar *>(w->arg("mes"));
   auto sum = dynamic_cast<RooAbsPdf *>(w->pdf("sum"));
   auto argus = dynamic_cast<RooAbsPdf *>(w->pdf("argus"));
 
   // --- Generate a toyMC sample from composite PDF ---
   auto data = sum->generate(*mes, 2000);
 
   // --- Perform extended ML fit of composite PDF to toy data ---
   sum->fitTo(*data);
 
   // --- Plot toy data and composite PDF overlaid ---
   auto mesframe = mes->frame();
   data->plotOn(mesframe);
   sum->plotOn(mesframe);
   sum->plotOn(mesframe, Components(*argus), LineStyle(kDashed));
 
   gROOT->SetStyle("Plain");
   mesframe->Draw();
}

Author

Danilo Piparo

Definition in file rs601_HLFactoryexample.C.