rf902_numgenconfig.C

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/// \file
/// \ingroup tutorial_roofit
/// \notebook -nodraw
///  'NUMERIC ALGORITHM TUNING' RooFit tutorial macro #902
///
///  Configuration and customization of how MC sampling algorithms
///  on specific p.d.f.s are executed
///
/// \macro_output
/// \macro_code
/// \author 07/2008 - Wouter Verkerke 
 
 
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooConstVar.h"
#include "RooChebychev.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
#include "RooNumGenConfig.h"
#include "RooArgSet.h"
#include <iomanip>
using namespace RooFit ;
 
 
void rf902_numgenconfig()
{
 
   // A d j u s t   g l o b a l   MC   s a m p l i n g   s t r a t e g y 
   // ------------------------------------------------------------------
 
   // Example p.d.f. for use below
   RooRealVar x("x","x",0,10) ;
   RooChebychev model("model","model",x,RooArgList(RooConst(0),RooConst(0.5),RooConst(-0.1))) ;
 
 
   // Change global strategy for 1D sampling problems without conditional observable
   // (1st kFALSE) and without discrete observable (2nd kFALSE) from RooFoamGenerator,
   // ( an interface to the TFoam MC generator with adaptive subdivisioning strategy ) to RooAcceptReject,
   // a plain accept/reject sampling algorithm [ RooFit default before ROOT 5.23/04 ]
   RooAbsPdf::defaultGeneratorConfig()->method1D(kFALSE,kFALSE).setLabel("RooAcceptReject") ;
 
   // Generate 10Kevt using RooAcceptReject
   RooDataSet* data_ar = model.generate(x,10000,Verbose(kTRUE)) ;
   data_ar->Print() ;
 
 
   // A d j u s t i n g   d e f a u l t   c o n f i g   f o r   a   s p e c i f i c   p d f 
   // -------------------------------------------------------------------------------------
   
   // Another possibility: associate custom MC sampling configuration as default for object 'model'
   // The kTRUE argument will install a clone of the default configuration as specialized configuration
   // for this model if none existed so far
   model.specialGeneratorConfig(kTRUE)->method1D(kFALSE,kFALSE).setLabel("RooFoamGenerator") ;
 
 
   // A d j u s t i n g   p a r a m e t e r s   o f   a   s p e c i f i c   t e c h n i q u e 
   // ---------------------------------------------------------------------------------------
 
   // Adjust maximum number of steps of RooIntegrator1D in the global default configuration
   RooAbsPdf::defaultGeneratorConfig()->getConfigSection("RooAcceptReject").setRealValue("nTrial1D",2000) ;
 
   
   // Example of how to change the parameters of a numeric integrator
   // (Each config section is a RooArgSet with RooRealVars holding real-valued parameters
   //  and RooCategories holding parameters with a finite set of options)
   model.specialGeneratorConfig()->getConfigSection("RooFoamGenerator").setRealValue("chatLevel",1) ;
 
   // Generate 10Kevt using RooFoamGenerator (FOAM verbosity increased with above chatLevel adjustment for illustration purposes)
   RooDataSet* data_foam = model.generate(x,10000,Verbose()) ;
   data_foam->Print() ;
 
 
}