rf204_extrangefit.cxx

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//////////////////////////////////////////////////////////////////////////
//
// 'ADDITION AND CONVOLUTION' RooFit tutorial macro #204
// 
// Extended maximum likelihood fit with alternate range definition
// for observed number of events.
//
//
//
// 07/2008 - Wouter Verkerke 
// 
/////////////////////////////////////////////////////////////////////////

#ifndef __CINT__
#include "RooGlobalFunc.h"
#endif
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooChebychev.h"
#include "RooAddPdf.h"
#include "RooExtendPdf.h"
#include "RooFitResult.h"
#include "TCanvas.h"
#include "RooPlot.h"
using namespace RooFit ;


class TestBasic204 : public RooFitTestUnit
{
public: 
  TestBasic204(TFile* refFile, Bool_t writeRef, Int_t verbose) : RooFitTestUnit("Extended ML fit in sub range",refFile,writeRef,verbose) {} ;
  Bool_t testCode() {
    
    // S e t u p   c o m p o n e n t   p d f s 
    // ---------------------------------------
    
    // Declare observable x
    RooRealVar x("x","x",0,10) ;
    
    // Create two Gaussian PDFs g1(x,mean1,sigma) anf g2(x,mean2,sigma) and their paramaters
    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) ;
    
    
    // C o n s t r u c t   e x t e n d e d   c o m p s   wi t h   r a n g e   s p e c
    // ------------------------------------------------------------------------------
    
    // Define signal range in which events counts are to be defined
    x.setRange("signalRange",4,6) ;
    
    // Associated nsig/nbkg as expected number of events with sig/bkg _in_the_range_ "signalRange"
    RooRealVar nsig("nsig","number of signal events in signalRange",500,0.,10000) ;
    RooRealVar nbkg("nbkg","number of background events in signalRange",500,0,10000) ;
    RooExtendPdf esig("esig","extended signal p.d.f",sig,nsig,"signalRange") ;
    RooExtendPdf ebkg("ebkg","extended background p.d.f",bkg,nbkg,"signalRange") ;
    
    
    // S u m   e x t e n d e d   c o m p o n e n t s
    // ---------------------------------------------
    
    // Construct sum of two extended p.d.f. (no coefficients required)
    RooAddPdf  model("model","(g1+g2)+a",RooArgList(ebkg,esig)) ;
    
    
    // S a m p l e   d a t a ,   f i t   m o d e l
    // -------------------------------------------
    
    // Generate 1000 events from model so that nsig,nbkg come out to numbers <<500 in fit
    RooDataSet *data = model.generate(x,1000) ;
    
    
    // Perform unbinned extended ML fit to data
    RooFitResult* r = model.fitTo(*data,Extended(kTRUE),Save()) ;


    regResult(r,"rf204_result") ;

    delete data ;
    return kTRUE ;
  } 
} ;

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