rf110_normintegration.C

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00001 /////////////////////////////////////////////////////////////////////////
00002 //
00003 // 'BASIC FUNCTIONALITY' RooFit tutorial macro #110
00004 // 
00005 // Examples on normalization of p.d.f.s,
00006 // integration of p.d.fs, construction
00007 // of cumulative distribution functions from p.d.f.s
00008 // in one dimension
00009 //
00010 // 07/2008 - Wouter Verkerke 
00011 //
00012 /////////////////////////////////////////////////////////////////////////
00013 
00014 #ifndef __CINT__
00015 #include "RooGlobalFunc.h"
00016 #endif
00017 #include "RooRealVar.h"
00018 #include "RooGaussian.h"
00019 #include "RooConstVar.h"
00020 #include "RooAbsReal.h"
00021 #include "RooPlot.h"
00022 #include "TCanvas.h"
00023 #include "TAxis.h"
00024 using namespace RooFit ;
00025 
00026 
00027 void rf110_normintegration()
00028 {
00029   // S e t u p   m o d e l 
00030   // ---------------------
00031 
00032   // Create observables x,y
00033   RooRealVar x("x","x",-10,10) ;
00034 
00035   // Create p.d.f. gaussx(x,-2,3) 
00036   RooGaussian gx("gx","gx",x,RooConst(-2),RooConst(3)) ;
00037 
00038 
00039   // R e t r i e v e   r a w  &   n o r m a l i z e d   v a l u e s   o f   R o o F i t   p . d . f . s
00040   // --------------------------------------------------------------------------------------------------
00041 
00042   // Return 'raw' unnormalized value of gx
00043   cout << "gx = " << gx.getVal() << endl ;
00044   
00045   // Return value of gx normalized over x in range [-10,10]
00046   RooArgSet nset(x) ;
00047   cout << "gx_Norm[x] = " << gx.getVal(&nset) << endl ;
00048 
00049   // Create object representing integral over gx
00050   // which is used to calculate  gx_Norm[x] == gx / gx_Int[x]
00051   RooAbsReal* igx = gx.createIntegral(x) ;
00052   cout << "gx_Int[x] = " << igx->getVal() << endl ;
00053 
00054 
00055   // I n t e g r a t e   n o r m a l i z e d   p d f   o v e r   s u b r a n g e
00056   // ----------------------------------------------------------------------------
00057 
00058   // Define a range named "signal" in x from -5,5
00059   x.setRange("signal",-5,5) ;
00060   
00061   // Create an integral of gx_Norm[x] over x in range "signal"
00062   // This is the fraction of of p.d.f. gx_Norm[x] which is in the
00063   // range named "signal"
00064   RooAbsReal* igx_sig = gx.createIntegral(x,NormSet(x),Range("signal")) ;
00065   cout << "gx_Int[x|signal]_Norm[x] = " << igx_sig->getVal() << endl ;
00066 
00067 
00068 
00069   // C o n s t r u c t   c u m u l a t i v e   d i s t r i b u t i o n   f u n c t i o n   f r o m   p d f
00070   // -----------------------------------------------------------------------------------------------------
00071 
00072   // Create the cumulative distribution function of gx
00073   // i.e. calculate Int[-10,x] gx(x') dx'
00074   RooAbsReal* gx_cdf = gx.createCdf(x) ;
00075   
00076   // Plot cdf of gx versus x
00077   RooPlot* frame = x.frame(Title("c.d.f of Gaussian p.d.f")) ;
00078   gx_cdf->plotOn(frame) ;
00079 
00080 
00081 
00082   // Draw plot on canvas
00083   new TCanvas("rf110_normintegration","rf110_normintegration",600,600) ;
00084   gPad->SetLeftMargin(0.15) ; frame->GetYaxis()->SetTitleOffset(1.6) ;
00085   frame->Draw() ;
00086 
00087 
00088 }

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