rf404_categories.C

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/// \file
/// \ingroup tutorial_roofit
/// \notebook -nodraw
///  'DATA AND CATEGORIES' RooFit tutorial macro #404
///
///  Working with RooCategory objects to describe discrete variables
///
/// \macro_output
/// \macro_code
/// \author 07/2008 - Wouter Verkerke 
 
 
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooPolynomial.h"
#include "RooCategory.h"
#include "Roo1DTable.h"
#include "RooGaussian.h"
#include "RooConstVar.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
using namespace RooFit ;
 
 
void rf404_categories()
{
 
   // C o n s t r u c t    a   c a t e g o r y   w i t h   l a b e l s 
   // ----------------------------------------------------------------
 
   // Define a category with labels only
   RooCategory tagCat("tagCat","Tagging category") ;
   tagCat.defineType("Lepton") ;
   tagCat.defineType("Kaon") ;
   tagCat.defineType("NetTagger-1") ;
   tagCat.defineType("NetTagger-2") ;
   tagCat.Print() ;
 
 
 
   // C o n s t r u c t    a   c a t e g o r y   w i t h   l a b e l s   a n d   i n d e c e s
   // ----------------------------------------------------------------------------------------
 
   // Define a category with explicitly numbered states
   RooCategory b0flav("b0flav","B0 flavour eigenstate") ;
   b0flav.defineType("B0",-1) ;
   b0flav.defineType("B0bar",1) ;
   b0flav.Print() ;
 
 
 
   // G e n e r a t e   d u m m y   d a t a  f o r   t a b u l a t i o n   d e m o 
   // ----------------------------------------------------------------------------
   
   // Generate a dummy dataset 
   RooRealVar x("x","x",0,10) ;
   RooDataSet *data = RooPolynomial("p","p",x).generate(RooArgSet(x,b0flav,tagCat),10000) ;
 
 
 
   // P r i n t   t a b l e s   o f   c a t e g o r y   c o n t e n t s   o f   d a t a s e t s
   // ------------------------------------------------------------------------------------------
 
   // Tables are equivalent of plots for categories
   Roo1DTable* btable = data->table(b0flav) ;
   btable->Print() ;
   btable->Print("v") ;
 
   // Create table for subset of events matching cut expression
   Roo1DTable* ttable = data->table(tagCat,"x>8.23") ;
   ttable->Print() ;
   ttable->Print("v") ;
 
   // Create table for all (tagCat x b0flav) state combinations
   Roo1DTable* bttable = data->table(RooArgSet(tagCat,b0flav)) ;
   bttable->Print("v") ;
 
   // Retrieve number of events from table
   // Number can be non-integer if source dataset has weighed events
   Double_t nb0 = btable->get("B0") ;
   cout << "Number of events with B0 flavor is " << nb0 << endl ;
 
   // Retrieve fraction of events with "Lepton" tag
   Double_t fracLep = ttable->getFrac("Lepton") ;
   cout << "Fraction of events tagged with Lepton tag is " << fracLep << endl ;
   
 
 
   // D e f i n i n g   r a n g e s   f o r   p l o t t i n g ,   f i t t i n g   o n   c a t e g o r i e s
   // ------------------------------------------------------------------------------------------------------
 
   // Define named range as comma separated list of labels
   tagCat.setRange("good","Lepton,Kaon") ;
 
   // Or add state names one by one
   tagCat.addToRange("soso","NetTagger-1") ;
   tagCat.addToRange("soso","NetTagger-2") ;
   
   // Use category range in dataset reduction specification
   RooDataSet* goodData = (RooDataSet*) data->reduce(CutRange("good")) ;
   goodData->table(tagCat)->Print("v") ;
 
 
}