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Reference Guide
rf404_categories.C File Reference

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Data and categories: working with RooCategory objects to describe discrete variables

␛[1mRooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby␛[0m
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
RooCategory::tagCat = Lepton(idx = 0)
--- RooAbsArg ---
Value State: clean
Shape State: clean
Address: 0x7ffd9c511820
--- RooAbsCategory ---
Value = -1 "B0)
Possible states:
B0 -1
B0bar 1
This is the for loop over states of 'largeCat':
A 0
F 133
H -20
b 2
c 8
dee 4
g 15
Has label 'A': 1
Has index '-20': 1
Label corresponding to '2' is b
Index corresponding to 'A' is 0
Current index is 0
Current label is A
Roo1DTable::b0flav = (B0=5058,B0bar=4942)
Table b0flav : pData
| B0 | 5058 |
| B0bar | 4942 |
[#1] INFO:InputArguments -- The formula cutVar claims to use the variables (x,b0flav,tagCat) but only (x) seem to be in use.
inputs: x>8.23
Roo1DTable::tagCat = (Lepton=454,Kaon=450,NetTagger-1=432,NetTagger-2=429)
Table tagCat : pData(x>8.23)
| Lepton | 454 |
| Kaon | 450 |
| NetTagger-1 | 432 |
| NetTagger-2 | 429 |
Table (tagCat x b0flav) : pData
| {Lepton;B0} | 1302 |
| {Kaon;B0} | 1232 |
| {NetTagger-1;B0} | 1242 |
| {NetTagger-2;B0} | 1282 |
| {Lepton;B0bar} | 1192 |
| {Kaon;B0bar} | 1314 |
| {NetTagger-1;B0bar} | 1208 |
| {NetTagger-2;B0bar} | 1228 |
Number of events with B0 flavor is 5058
Fraction of events tagged with Lepton tag is 0.257224
Table tagCat : pData
| Lepton | 2494 |
| Kaon | 2546 |
| NetTagger-1 | 0 |
| NetTagger-2 | 0 |
#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"
#include <iostream>
using namespace RooFit;
// 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");
// 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 i c e s
// ----------------------------------------------------------------------------------------
// Define a category with explicitly numbered states
RooCategory b0flav("b0flav", "B0 flavour eigenstate");
b0flav["B0"] = -1;
b0flav["B0bar"] = 1;
// Print it in "verbose" mode to see all states.
// Alternatively, define many states at once. The function takes
// a map with std::string --> index mapping.
RooCategory largeCat("largeCat", "A category with many states");
{"A", 0}, {"b", 2}, {"c", 8}, {"dee", 4},
{"F", 133}, {"g", 15}, {"H", -20}
// I t e r a t e, q u e r y a n d s e t s t a t e s
// --------------------------------------------------------
// One can iterate through the {index,name} pair of category objects
std::cout << "\nThis is the for loop over states of 'largeCat':";
for (const auto& idxAndName : largeCat)
std::cout << "\n\t" << idxAndName.first << "\t" << idxAndName.second;
std::cout << '\n' << std::endl;
// To ask whether a state is valid use:
std::cout << "Has label 'A': " << largeCat.hasLabel("A");
std::cout << "\nHas index '-20': " << largeCat.hasIndex(-20);
// To retrieve names or state numbers:
std::cout << "\nLabel corresponding to '2' is " << largeCat.lookupName(2);
std::cout << "\nIndex corresponding to 'A' is " << largeCat.lookupIndex("A");
// To get the current state:
std::cout << "\nCurrent index is " << largeCat.getCurrentIndex();
std::cout << "\nCurrent label is " << largeCat.getCurrentLabel();
std::cout << std::endl;
// To set the state, use one of the two:
// 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);
// Create table for subset of events matching cut expression
Roo1DTable *ttable = data->table(tagCat, "x>8.23");
// Create table for all (tagCat x b0flav) state combinations
Roo1DTable *bttable = data->table(RooArgSet(tagCat, b0flav));
// Retrieve number of events from table
// Number can be non-integer if source dataset has weighed events
Double_t nb0 = btable->get("B0");
std::cout << "Number of events with B0 flavor is " << nb0 << std::endl;
// Retrieve fraction of events with "Lepton" tag
Double_t fracLep = ttable->getFrac("Lepton");
std::cout << "Fraction of events tagged with Lepton tag is " << fracLep << std::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"));
double Double_t
Definition: RtypesCore.h:57
Roo1DTable implements a one-dimensional table.
Definition: Roo1DTable.h:23
Double_t get(const char *label, Bool_t silent=kFALSE) const
Return the table entry named 'label'.
Definition: Roo1DTable.cxx:247
Double_t getFrac(const char *label, Bool_t silent=kFALSE) const
Return the fraction of entries in the table contained in the slot named 'label'.
Definition: Roo1DTable.cxx:304
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: Roo1DTable.h:50
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
Definition: RooAbsData.cxx:748
RooAbsData * reduce(const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg(), const RooCmdArg &arg3=RooCmdArg(), const RooCmdArg &arg4=RooCmdArg(), const RooCmdArg &arg5=RooCmdArg(), const RooCmdArg &arg6=RooCmdArg(), const RooCmdArg &arg7=RooCmdArg(), const RooCmdArg &arg8=RooCmdArg())
Create a reduced copy of this dataset.
Definition: RooAbsData.cxx:381
RooDataSet * generate(const RooArgSet &whatVars, Int_t nEvents, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none())
See RooAbsPdf::generate(const RooArgSet&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,...
Definition: RooAbsPdf.h:55
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
RooCategory is an object to represent discrete states.
Definition: RooCategory.h:23
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:33
RooPolynomial implements a polynomial p.d.f of the form.
Definition: RooPolynomial.h:28
RooRealVar represents a variable that can be changed from the outside.
Definition: RooRealVar.h:35
RooCmdArg CutRange(const char *rangeName)
Double_t x[n]
Definition: legend1.C:17
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
Wouter Verkerke

Definition in file rf404_categories.C.