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rf302_utilfuncs.C File Reference

'MULTIDIMENSIONAL MODELS' RooFit tutorial macro #302 More...

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Detailed Description

'MULTIDIMENSIONAL MODELS' RooFit tutorial macro #302

Utility functions classes available for use in tailoring of composite (multidimensional) pdfs

#ifndef __CINT__
#include "RooGlobalFunc.h"
#endif
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
#include "RooFormulaVar.h"
#include "RooAddition.h"
#include "RooProduct.h"
#include "RooPolyVar.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "TH1.h"
using namespace RooFit ;
void rf302_utilfuncs()
{
// 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) ;
// Make canvas and draw RooPlots
TCanvas *c = new TCanvas("rf302_utilfuncs","rf302_utilfuncs",800, 800);
c->Divide(2,2);
c->cd(1) ; gPad->SetLeftMargin(0.20) ; hh_model_1->GetZaxis()->SetTitleOffset(2.5) ; hh_model_1->Draw("surf") ;
c->cd(2) ; gPad->SetLeftMargin(0.20) ; hh_model_2->GetZaxis()->SetTitleOffset(2.5) ; hh_model_2->Draw("surf") ;
c->cd(3) ; gPad->SetLeftMargin(0.20) ; hh_model_3->GetZaxis()->SetTitleOffset(2.5) ; hh_model_3->Draw("surf") ;
c->cd(4) ; gPad->SetLeftMargin(0.20) ; hh_model_4->GetZaxis()->SetTitleOffset(2.5) ; hh_model_4->Draw("surf") ;
}
Author
07/2008 - Wouter Verkerke

Definition in file rf302_utilfuncs.C.