rf105_funcbinding.C File Reference

Detailed Description

Basic functionality: binding ROOT math functions as RooFit functions and pdfs

 
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
#include "TMath.h"
#include "TF1.h"
#include "Math/DistFunc.h"
#include "RooTFnBinding.h"
 
using namespace RooFit;
 
void rf105_funcbinding()
{
 
   // B i n d   T M a t h : : E r f   C   f u n c t i o n
   // ---------------------------------------------------
 
   // Bind one-dimensional TMath::Erf function as RooAbsReal function
   RooRealVar x("x", "x", -3, 3);
   RooAbsReal *errorFunc = bindFunction("erf", TMath::Erf, x);
 
   // Print erf definition
   errorFunc->Print();
 
   // Plot erf on frame
   RooPlot *frame1 = x.frame(Title("TMath::Erf bound as RooFit function"));
   errorFunc->plotOn(frame1);
 
   // B i n d   R O O T : : M a t h : : b e t a _ p d f   C   f u n c t i o n
   // -----------------------------------------------------------------------
 
   // Bind pdf ROOT::Math::Beta with three variables as RooAbsPdf function
   RooRealVar x2("x2", "x2", 0, 0.999);
   RooRealVar a("a", "a", 5, 0, 10);
   RooRealVar b("b", "b", 2, 0, 10);
   RooAbsPdf *beta = bindPdf("beta", ROOT::Math::beta_pdf, x2, a, b);
 
   // Perf beta definition
   beta->Print();
 
   // Generate some events and fit
   std::unique_ptr<RooDataSet> data{beta->generate(x2, 10000)};
   beta->fitTo(*data, PrintLevel(-1));
 
   // Plot data and pdf on frame
   RooPlot *frame2 = x2.frame(Title("ROOT::Math::Beta bound as RooFit pdf"));
   data->plotOn(frame2);
   beta->plotOn(frame2);
 
   // B i n d   R O O T   T F 1   a s   R o o F i t   f u n c t i o n
   // ---------------------------------------------------------------
 
   // Create a ROOT TF1 function
   TF1 *fa1 = new TF1("fa1", "sin(x)/x", 0, 10);
 
   // Create an observable
   RooRealVar x3("x3", "x3", 0.01, 20);
 
   // Create binding of TF1 object to above observable
   RooAbsReal *rfa1 = bindFunction(fa1, x3);
 
   // Print rfa1 definition
   rfa1->Print();
 
   // Make plot frame in observable, plot TF1 binding function
   RooPlot *frame3 = x3.frame(Title("TF1 bound as RooFit function"));
   rfa1->plotOn(frame3);
 
   TCanvas *c = new TCanvas("rf105_funcbinding", "rf105_funcbinding", 1200, 400);
   c->Divide(3);
   c->cd(1);
   gPad->SetLeftMargin(0.15);
   frame1->GetYaxis()->SetTitleOffset(1.6);
   frame1->Draw();
   c->cd(2);
   gPad->SetLeftMargin(0.15);
   frame2->GetYaxis()->SetTitleOffset(1.6);
   frame2->Draw();
   c->cd(3);
   gPad->SetLeftMargin(0.15);
   frame3->GetYaxis()->SetTitleOffset(1.6);
   frame3->Draw();
}

 
RooCFunction1Binding<double,double>::erf[ function=TMath::Erf x=x ] = 0
RooCFunction3PdfBinding<double,double,double,double>::beta[ function=(0x7fa7a5f85e70) x=x2 y=a z=b ] = 0.934689
[#1] INFO:NumericIntegration -- RooRealIntegral::init(beta_Int[x2]) using numeric integrator RooIntegrator1D to calculate Int(x2)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(beta_Int[x2]) using numeric integrator RooIntegrator1D to calculate Int(x2)
[#1] INFO:Fitting -- RooAbsPdf::fitTo(beta_over_beta_Int[x2]) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using CPU computation library compiled with -mavx2
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_beta_over_beta_Int[x2]_betaData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#1] INFO:NumericIntegration -- RooRealIntegral::init(beta_Int[x2]) using numeric integrator RooIntegrator1D to calculate Int(x2)
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
[#1] INFO:NumericIntegration -- RooRealIntegral::init(beta_Int[x2]) using numeric integrator RooIntegrator1D to calculate Int(x2)
RooTFnBinding::fa1[ TFn={fa1=sin(x)/x} obs=(x3) ] = -0.0547936

Date

July 2008

Author

Wouter Verkerke

Definition in file rf105_funcbinding.C.