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rf513_wsfactory_tools.C
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1/// \file
2/// \ingroup tutorial_roofit
3/// \notebook -nodraw
4/// 'ORGANIZATION AND SIMULTANEOUS FITS' RooFit tutorial macro #513
5///
6/// Illustration use of RooCustomizer and RooSimWSTool interface
7/// in factory workspace tool in a complex standalone B physics example
8///
9/// \macro_output
10/// \macro_code
11/// \author 04/2009 - Wouter Verkerke
12
13
14#include "RooRealVar.h"
15#include "RooDataSet.h"
16#include "RooGaussian.h"
17#include "RooConstVar.h"
18#include "RooChebychev.h"
19#include "RooAddPdf.h"
20#include "RooWorkspace.h"
21#include "RooPlot.h"
22#include "TCanvas.h"
23#include "TAxis.h"
24using namespace RooFit ;
25
26
28{
29 RooWorkspace* w = new RooWorkspace("w") ;
30
31
32 // B u i l d a c o m p l e x e x a m p l e p . d . f .
33 // -----------------------------------------------------------
34
35 // Make signal model for CPV: A bmixing decay function in t (convoluted with a triple Gaussian resolution model)
36 // times a Gaussian function the reconstructed mass
37 w->factory("PROD::sig( BMixDecay::sig_t( dt[-20,20], mixState[mixed=1,unmix=-1], tagFlav[B0=1,B0bar=-1], "
38 "tau[1.54], dm[0.472], w[0.05], dw[0],"
39 "AddModel::gm({GaussModel(dt,biasC[-10,10],sigmaC[0.1,3],dterr[0.01,0.2]),"
40 "GaussModel(dt,0,sigmaT[3,10]),"
41 "GaussModel(dt,0,20)},{fracC[0,1],fracT[0,1]}),"
42 "DoubleSided ),"
43 "Gaussian::sig_m( mes[5.20,5.30], mB0[5.20,5.30], sigmB0[0.01,0.05] ))") ;
44
45 // Make background component: A plain decay function in t times an Argus function in the reconstructed mass
46 w->factory("PROD::bkg( Decay::bkg_t( dt, tau, gm, DoubleSided),"
47 "ArgusBG::bkg_m( mes, 5.291, k[-100,-10]))") ;
48
49 // Make composite model from the signal and background component
50 w->factory("SUM::model( Nsig[5000,0,10000]*sig, NBkg[500,0,10000]*bkg )") ;
51
52
53 // E x a m p l e o f R o o S i m W S T o o l i n t e r f a c e
54 // ------------------------------------------------------------------
55
56 // Introduce a flavour tagging category tagCat as observable with 4 states corresponding
57 // to 4 flavour tagging techniques with different performance that require different
58 // parameterizations of the fit model
59 //
60 // RooSimWSTool operation:
61 // - Make 4 clones of model (for each tagCat) state, that will gain an individual
62 // copy of parameters w,dw and biasC. The other parameters remain common
63 // - Make a simultaneous p.d.f. of the 4 clones assigning each to the appropriate
64 // state of the tagCat index category
65
66 // RooSimWSTool is interfaced as meta-type SIMCLONE in the factory. The $SplitParam()
67 // argument maps to the SplitParam() named argument in the RooSimWSTool constructor
68 w->factory("SIMCLONE::model_sim( model, $SplitParam({w,dw,biasC},tagCat[Lep,Kao,NT1,NT2]))") ;
69
70
71 // E x a m p l e o f R o o C u s t o m i z e r i n t e r f a c e
72 // -------------------------------------------------------------------
73 //
74 // Class RooCustomizer makes clones of existing p.d.f.s with certain prescribed
75 // modifications (branch of leaf node replacements)
76 //
77 // Here we take our model (the original before RooSimWSTool modifications)
78 // and request that the parameter w (the mistag rate) is replaced with
79 // an expression-based function that calculates w in terms of the Dilution
80 // parameter D that is defined as D = 1-2*w
81
82 // Make a clone model_D of original 'model' replacing 'w' with 'expr('0.5-D/2',D[0,1])'
83 w->factory("EDIT::model_D(model, w=expr('0.5-D/2',D[0,1]) )") ;
84
85
86 // Print workspace contents
87 w->Print() ;
88
89 // Make workspace visible on command line
90 gDirectory->Add(w) ;
91}
92
93
#define gDirectory
Definition: TDirectory.h:213
The RooWorkspace is a persistable container for RooFit projects.
Definition: RooWorkspace.h:43
void Print(Option_t *opts=0) const
Print contents of the workspace.
RooFactoryWSTool & factory()
Return instance to factory tool.