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Reference Guide
rf405_realtocatfuncs.C File Reference

Detailed Description

View in nbviewer Open in SWAN 'DATA AND CATEGORIES' RooFit tutorial macro #405

Demonstration of real–>discrete mapping functions

pict1_rf405_realtocatfuncs.C.png
Processing /mnt/build/workspace/root-makedoc-v614/rootspi/rdoc/src/v6-14-00-patches/tutorials/roofit/rf405_realtocatfuncs.C...
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
[#1] INFO:Plotting -- RooTreeData::plotOn: plotting 2748 events out of 10000 total events
Table xBins : aData
+---------------+------+
| x_coarse_bin0 | 105 |
| x_coarse_bin1 | 329 |
| x_coarse_bin2 | 499 |
| x_coarse_bin3 | 739 |
| x_coarse_bin4 | 934 |
| x_coarse_bin5 | 1218 |
| x_coarse_bin6 | 1450 |
| x_coarse_bin7 | 1675 |
| x_coarse_bin8 | 1767 |
| x_coarse_bin9 | 1284 |
+---------------+------+
[#1] INFO:Plotting -- RooPlot::updateFitRangeNorm: New event count of 2627 will supercede previous event count of 10000 for normalization of PDF projections
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooConstVar.h"
#include "RooCategory.h"
#include "Roo1DTable.h"
#include "RooArgusBG.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
using namespace RooFit ;
void rf405_realtocatfuncs()
{
// D e f i n e p d f i n x , s a m p l e d a t a s e t i n x
// ------------------------------------------------------------------------
// Define a dummy PDF in x
RooRealVar x("x","x",0,10) ;
RooArgusBG a("a","argus(x)",x,RooConst(10),RooConst(-1)) ;
// Generate a dummy dataset
RooDataSet *data = a.generate(x,10000) ;
// C r e a t e a t h r e s h o l d r e a l - > c a t f u n c t i o n
// --------------------------------------------------------------------------
// A RooThresholdCategory is a category function that maps regions in a real-valued
// input observable observables to state names. At construction time a 'default'
// state name must be specified to which all values of x are mapped that are not
// otherwise assigned
RooThresholdCategory xRegion("xRegion","region of x",x,"Background") ;
// Specify thresholds and state assignments one-by-one.
// Each statement specifies that all values _below_ the given value
// (and above any lower specified threshold) are mapped to the
// category state with the given name
//
// Background | SideBand | Signal | SideBand | Background
// 4.23 5.23 8.23 9.23
xRegion.addThreshold(4.23,"Background") ;
xRegion.addThreshold(5.23,"SideBand") ;
xRegion.addThreshold(8.23,"Signal") ;
xRegion.addThreshold(9.23,"SideBand") ;
// U s e t h r e s h o l d f u n c t i o n t o p l o t d a t a r e g i o n s
// -------------------------------------------------------------------------------------
// Add values of threshold function to dataset so that it can be used as observable
data->addColumn(xRegion) ;
// Make plot of data in x
RooPlot* xframe = x.frame(Title("Demo of threshold and binning mapping functions")) ;
data->plotOn(xframe) ;
// Use calculated category to select sideband data
data->plotOn(xframe,Cut("xRegion==xRegion::SideBand"),MarkerColor(kRed),LineColor(kRed)) ;
// C r e a t e a b i n n i n g r e a l - > c a t f u n c t i o n
// ----------------------------------------------------------------------
// A RooBinningCategory is a category function that maps bins of a (named) binning definition
// in a real-valued input observable observables to state names. The state names are automatically
// constructed from the variable name, the binning name and the bin number. If no binning name
// is specified the default binning is mapped
x.setBins(10,"coarse") ;
RooBinningCategory xBins("xBins","coarse bins in x",x,"coarse") ;
// U s e b i n n i n g f u n c t i o n f o r t a b u l a t i o n a n d p l o t t i n g
// -----------------------------------------------------------------------------------------------
// Print table of xBins state multiplicity. Note that xBins does not need to be an observable in data
// it can be a function of observables in data as well
Roo1DTable* xbtable = data->table(xBins) ;
xbtable->Print("v") ;
// Add values of xBins function to dataset so that it can be used as observable
RooCategory* xb = (RooCategory*) data->addColumn(xBins) ;
// Define range "alt" as including bins 1,3,5,7,9
xb->setRange("alt","x_coarse_bin1,x_coarse_bin3,x_coarse_bin5,x_coarse_bin7,x_coarse_bin9") ;
// Construct subset of data matching range "alt" but only for the first 5000 events and plot it on the frame
RooDataSet* dataSel = (RooDataSet*) data->reduce(CutRange("alt"),EventRange(0,5000)) ;
dataSel->plotOn(xframe,MarkerColor(kGreen),LineColor(kGreen)) ;
new TCanvas("rf405_realtocatfuncs","rf405_realtocatfuncs",600,600) ;
xframe->SetMinimum(0.01) ;
gPad->SetLeftMargin(0.15) ; xframe->GetYaxis()->SetTitleOffset(1.4) ; xframe->Draw() ;
}
Author
07/2008 - Wouter Verkerke

Definition in file rf405_realtocatfuncs.C.