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Reference Guide
rf804_mcstudy_constr.C File Reference

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RooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
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[#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[fpull]) using numeric integrator RooIntegrator1D to calculate Int(fpull)
[#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization
[#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization
[#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[fpull]) using numeric integrator RooIntegrator1D to calculate Int(fpull)
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooConstVar.h"
#include "RooPolynomial.h"
#include "RooAddPdf.h"
#include "RooProdPdf.h"
#include "RooMCStudy.h"
#include "RooPlot.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "TH1.h"
using namespace RooFit;
void rf804_mcstudy_constr()
{
// C r e a t e m o d e l w i t h p a r a m e t e r c o n s t r a i n t
// ---------------------------------------------------------------------------
// Observable
RooRealVar x("x", "x", -10, 10);
// Signal component
RooRealVar m("m", "m", 0, -10, 10);
RooRealVar s("s", "s", 2, 0.1, 10);
RooGaussian g("g", "g", x, m, s);
// Background component
RooPolynomial p("p", "p", x);
// Composite model
RooRealVar f("f", "f", 0.4, 0., 1.);
RooAddPdf sum("sum", "sum", RooArgSet(g, p), f);
// Construct constraint on parameter f
RooGaussian fconstraint("fconstraint", "fconstraint", f, RooConst(0.7), RooConst(0.1));
// Multiply constraint with p.d.f
RooProdPdf sumc("sumc", "sum with constraint", RooArgSet(sum, fconstraint));
// S e t u p t o y s t u d y w i t h m o d e l
// ---------------------------------------------------
// Perform toy study with internal constraint on f
// Run 500 toys of 2000 events.
// Before each toy is generated, a value for the f is sampled from the constraint pdf and
// that value is used for the generation of that toy.
mcs.generateAndFit(500, 2000);
// Make plot of distribution of generated value of f parameter
TH1 *h_f_gen = mcs.fitParDataSet().createHistogram("f_gen", -40);
// Make plot of distribution of fitted value of f parameter
RooPlot *frame1 = mcs.plotParam(f, Bins(40));
frame1->SetTitle("Distribution of fitted f values");
// Make plot of pull distribution on f
RooPlot *frame2 = mcs.plotPull(f, Bins(40), FitGauss());
frame1->SetTitle("Distribution of f pull values");
TCanvas *c = new TCanvas("rf804_mcstudy_constr", "rf804_mcstudy_constr", 1200, 400);
c->Divide(3);
c->cd(1);
gPad->SetLeftMargin(0.15);
h_f_gen->GetYaxis()->SetTitleOffset(1.4);
h_f_gen->Draw();
c->cd(2);
gPad->SetLeftMargin(0.15);
frame1->GetYaxis()->SetTitleOffset(1.4);
frame1->Draw();
c->cd(3);
gPad->SetLeftMargin(0.15);
frame2->GetYaxis()->SetTitleOffset(1.4);
frame2->Draw();
}
Author
07/2008 - Wouter Verkerke

Definition in file rf804_mcstudy_constr.C.