rf302_utilfuncs.cxx

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//////////////////////////////////////////////////////////////////////////
//
// 'MULTIDIMENSIONAL MODELS' RooFit tutorial macro #302
// 
//  Utility functions classes available for use in tailoring
//  of composite (multidimensional) pdfs
//
//
// 07/2008 - Wouter Verkerke 
// 
/////////////////////////////////////////////////////////////////////////

#ifndef __CINT__
#include "RooGlobalFunc.h"
#endif
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "TCanvas.h"
#include "RooPlot.h"
#include "RooFormulaVar.h"
#include "RooAddition.h"
#include "RooProduct.h"
#include "RooPolyVar.h"
#include "TCanvas.h"
#include "TH1.h"

using namespace RooFit ;


class TestBasic302 : public RooFitTestUnit
{
public: 
  TestBasic302(TFile* refFile, Bool_t writeRef, Int_t verbose) : RooFitTestUnit("Sum and product utility functions",refFile,writeRef,verbose) {} ;
  Bool_t testCode() {

  // C r e a t e   o b s e r v a b l e s ,   p a r a m e t e r s 
  // -----------------------------------------------------------

  // Create observables
  RooRealVar x("x","x",-5,5) ;
  RooRealVar y("y","y",-5,5) ;

  // Create parameters
  RooRealVar a0("a0","a0",-1.5,-5,5) ;
  RooRealVar a1("a1","a1",-0.5,-1,1) ;
  RooRealVar sigma("sigma","width of gaussian",0.5) ;


  // U s i n g   R o o F o r m u l a V a r   t o   t a i l o r   p d f 
  // -----------------------------------------------------------------------

  // Create interpreted function f(y) = a0 - a1*sqrt(10*abs(y))
  RooFormulaVar fy_1("fy_1","a0-a1*sqrt(10*abs(y))",RooArgSet(y,a0,a1)) ;

  // Create gauss(x,f(y),s)
  RooGaussian model_1("model_1","Gaussian with shifting mean",x,fy_1,sigma) ;  



  // U s i n g   R o o P o l y V a r   t o   t a i l o r   p d f
  // -----------------------------------------------------------------------

  // Create polynomial function f(y) = a0 + a1*y
  RooPolyVar fy_2("fy_2","fy_2",y,RooArgSet(a0,a1)) ;

  // Create gauss(x,f(y),s)
  RooGaussian model_2("model_2","Gaussian with shifting mean",x,fy_2,sigma) ;  



  // U s i n g   R o o A d d i t i o n   t o   t a i l o r   p d f 
  // -----------------------------------------------------------------------

  // Create sum function f(y) = a0 + y
  RooAddition fy_3("fy_3","a0+y",RooArgSet(a0,y)) ;

  // Create gauss(x,f(y),s)
  RooGaussian model_3("model_3","Gaussian with shifting mean",x,fy_3,sigma) ;  



  // U s i n g   R o o P r o d u c t   t o   t a i l o r   p d f 
  // -----------------------------------------------------------------------

  // Create product function f(y) = a1*y
  RooProduct fy_4("fy_4","a1*y",RooArgSet(a1,y)) ;

  // Create gauss(x,f(y),s)
  RooGaussian model_4("model_4","Gaussian with shifting mean",x,fy_4,sigma) ;  



  // P l o t   a l l   p d f s 
  // ----------------------------

  // Make two-dimensional plots in x vs y
  TH1* hh_model_1 = model_1.createHistogram("hh_model_1",x,Binning(50),YVar(y,Binning(50))) ;
  TH1* hh_model_2 = model_2.createHistogram("hh_model_2",x,Binning(50),YVar(y,Binning(50))) ;
  TH1* hh_model_3 = model_3.createHistogram("hh_model_3",x,Binning(50),YVar(y,Binning(50))) ;
  TH1* hh_model_4 = model_4.createHistogram("hh_model_4",x,Binning(50),YVar(y,Binning(50))) ;
  hh_model_1->SetLineColor(kBlue) ;
  hh_model_2->SetLineColor(kBlue) ;
  hh_model_3->SetLineColor(kBlue) ;
  hh_model_4->SetLineColor(kBlue) ;

  regTH(hh_model_1,"rf202_model2d_1") ;
  regTH(hh_model_2,"rf202_model2d_2") ;
  regTH(hh_model_3,"rf202_model2d_3") ;
  regTH(hh_model_4,"rf202_model2d_4") ;

  return kTRUE ;
  }
} ;

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