doc/v610/rf602__chi2fit_8C.html

#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooConstVar.h"
#include "RooChebychev.h"
#include "RooAddPdf.h"
#include "RooChi2Var.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
using namespace RooFit ;
void rf602_chi2fit()
{
   // S e t u p   m o d e l
   // ---------------------
   // Declare observable x
   RooRealVar x("x","x",0,10) ;
   // Create two Gaussian PDFs g1(x,mean1,sigma) anf g2(x,mean2,sigma) and their parameters
   RooRealVar mean("mean","mean of gaussians",5) ;
   RooRealVar sigma1("sigma1","width of gaussians",0.5) ;
   RooRealVar sigma2("sigma2","width of gaussians",1) ;
   RooGaussian sig1("sig1","Signal component 1",x,mean,sigma1) ;
   RooGaussian sig2("sig2","Signal component 2",x,mean,sigma2) ;

   // Build Chebychev polynomial p.d.f.
   RooRealVar a0("a0","a0",0.5,0.,1.) ;
   RooRealVar a1("a1","a1",0.2,0.,1.) ;
   RooChebychev bkg("bkg","Background",x,RooArgSet(a0,a1)) ;
   // Sum the signal components into a composite signal p.d.f.
   RooRealVar sig1frac("sig1frac","fraction of component 1 in signal",0.8,0.,1.) ;
   RooAddPdf sig("sig","Signal",RooArgList(sig1,sig2),sig1frac) ;
   // Sum the composite signal and background
   RooRealVar bkgfrac("bkgfrac","fraction of background",0.5,0.,1.) ;
   RooAddPdf  model("model","g1+g2+a",RooArgList(bkg,sig),bkgfrac) ;
   // C r e a t e   b i n n e d   d a t a s e t
   // -----------------------------------------
   RooDataSet* d = model.generate(x,10000) ;
   RooDataHist* dh = d->binnedClone() ;
   // Construct a chi^2 of the data and the model.
   // When a p.d.f. is used in a chi^2 fit, the probability density scaled
   // by the number of events in the dataset to obtain the fit function
   // If model is an extended p.d.f, the expected number events is used
   // instead of the observed number of events.
   model.chi2FitTo(*dh) ;
   // NB: It is also possible to fit a RooAbsReal function to a RooDataHist
   // using chi2FitTo().
   // Note that entries with zero bins are _not_ allowed
   // for a proper chi^2 calculation and will give error
   // messages
   RooDataSet* dsmall = (RooDataSet*) d->reduce(EventRange(1,100)) ;
   RooDataHist* dhsmall = dsmall->binnedClone() ;
   RooChi2Var chi2_lowstat("chi2_lowstat","chi2",model,*dhsmall) ;
   cout << chi2_lowstat.getVal() << endl ;
}