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Reference Guide
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1/// \file
2/// \ingroup tutorial_roofit
3/// \notebook -nodraw
4/// Numeric algorithm tuning: configuration and customization of how MC sampling algorithms on specific pdfs are
5/// executed
7/// \macro_output
8/// \macro_code
10/// \date July 2008
11/// \author Wouter Verkerke
13#include "RooRealVar.h"
14#include "RooDataSet.h"
15#include "RooChebychev.h"
16#include "TCanvas.h"
17#include "TAxis.h"
18#include "RooPlot.h"
19#include "RooNumGenConfig.h"
20#include "RooArgSet.h"
21#include <iomanip>
22using namespace RooFit;
27 // 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
28 // ------------------------------------------------------------------
30 // Example pdf for use below
31 RooRealVar x("x", "x", 0, 10);
32 RooChebychev model("model", "model", x, RooArgList(0, 0.5, -0.1));
34 // Change global strategy for 1D sampling problems without conditional observable
35 // (1st kFALSE) and without discrete observable (2nd kFALSE) from RooFoamGenerator,
36 // ( an interface to the TFoam MC generator with adaptive subdivisioning strategy ) to RooAcceptReject,
37 // a plain accept/reject sampling algorithm [ RooFit default before ROOT 5.23/04 ]
40 // Generate 10Kevt using RooAcceptReject
41 RooDataSet *data_ar = model.generate(x, 10000, Verbose(kTRUE));
42 data_ar->Print();
44 // 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
45 // -------------------------------------------------------------------------------------
47 // Another possibility: associate custom MC sampling configuration as default for object 'model'
48 // The kTRUE argument will install a clone of the default configuration as specialized configuration
49 // for this model if none existed so far
50 model.specialGeneratorConfig(kTRUE)->method1D(kFALSE, kFALSE).setLabel("RooFoamGenerator");
52 // 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
53 // ---------------------------------------------------------------------------------------
55 // Adjust maximum number of steps of RooIntegrator1D in the global default configuration
56 RooAbsPdf::defaultGeneratorConfig()->getConfigSection("RooAcceptReject").setRealValue("nTrial1D", 2000);
58 // Example of how to change the parameters of a numeric integrator
59 // (Each config section is a RooArgSet with RooRealVars holding real-valued parameters
60 // and RooCategories holding parameters with a finite set of options)
61 model.specialGeneratorConfig()->getConfigSection("RooFoamGenerator").setRealValue("chatLevel", 1);
63 // Generate 10Kevt using RooFoamGenerator (FOAM verbosity increased with above chatLevel adjustment for illustration
64 // purposes)
65 RooDataSet *data_foam = model.generate(x, 10000, Verbose());
66 data_foam->Print();
const Bool_t kFALSE
Definition: RtypesCore.h:101
const Bool_t kTRUE
Definition: RtypesCore.h:100
Bool_t setRealValue(const char *name, Double_t newVal=0, Bool_t verbose=kFALSE)
Set value of a RooAbsRealLValye stored in set with given name to newVal No error messages are printed...
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: RooAbsData.h:246
static RooNumGenConfig * defaultGeneratorConfig()
Returns the default numeric MC generator configuration for all RooAbsReals.
Definition: RooAbsPdf.cxx:3501
RooArgList is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgList.h:22
virtual Bool_t setLabel(const char *label, bool printError=true) override
Set value by specifying the name of the desired state.
Chebychev polynomial p.d.f.
Definition: RooChebychev.h:25
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:36
RooCategory & method1D(Bool_t cond, Bool_t cat)
const RooArgSet & getConfigSection(const char *name) const
Retrieve configuration information specific to integrator with given name.
RooRealVar represents a variable that can be changed from the outside.
Definition: RooRealVar.h:39
RooCmdArg Verbose(Bool_t flag=kTRUE)
Double_t x[n]
Definition: legend1.C:17
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...