ATLAS Offline Software
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TrackEfficiency.cxx
Go to the documentation of this file.
1
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13
14// #include "Resplot/Effplot.h"
15// #include "Resplot/Resplot.h"
16
17#include <cmath>
18
19
21 // book the histograms
22
23#if 0
24 double limits[23] = { 0, 500, 1000, 1500, 2000, 2500,
25 3000, 4000, 5000, 6000, 7000, 8000,
26 10000, 12000, 14000, 16000, 20000, 25000,
27 30000, 35000, 40000, 50000, 60000 };
28#endif
29
30
31#if 0
32 double limits[13] = { 0, 1000, 2000, 3000, 5000, 7000,
33 10000, 14000, 20000, 30000, 40000, 60000, 100000 };
34
35 double limits2[24] = { 0, 1000, 2000, 3000, 5000, 7000, 8000, 8500, 9000, 9500,
36 10000, 10500, 11000, 11500, 12000, 12500, 13000, 13500, 14000,
37 20000, 30000, 40000, 60000, 100000 };
38#endif
39
40 double limits2[18] = { 0, 1000, 2000, 3000, 5000, 7000,
41 8000, 9000, 10000, 11000, 12000, 13000,
42 14000, 20000, 30000, 40000, 60000, 100000 };
43
44 std::vector<double> limits;
45 for ( int i=0 ; i<18 ; i++ ) limits.push_back(limits2[i]);
46
47#if 0
48 // efficiencies
49 effvsPT = new Effplot( "efficiency vs pt", limits );
50 effvseta = new Effplot( "efficiency vs eta", 8, -3, 3);
51 effvsphi = new Effplot( "efficiency vs phi", 8, -M_PI, M_PI );
52 // effvsd0 = new Effplot( "efficiency vs d0", 20, -100, 100 );
53 effvsd0 = new Effplot( "efficiency vs d0", 200, -200, 200 );
54
55 // resolutions
56 iptvipt = new Resplot( "resolution ipt vs ipt", 20, -0.2, 0.2, 21, -0.01, 0.01);
57
58 ptvpt = new Resplot( "resolution pt vs pt", limits, 41, -10, 10 );
59 phivpt = new Resplot( "resolution phi vs pt", limits, 41, -0.01, 0.01 );
60 etavpt = new Resplot( "resolution eta vs pt", limits, 41, -0.01, 0.01 );
61 z0vpt = new Resplot( "resolution z0 vs pt", limits, 41, -1, 1 );
62 d0vpt = new Resplot( "resolution d0 vs pt", limits, 61, -0.3, 0.3 );
63
64 ptveta = new Resplot( "resolution pt vs eta", 12, -3, 3, 41, -10, 10);
65 iptveta = new Resplot( "resolution ipt vs eta", 12, -3, 3, 41, -0.01, 0.01);
66 phiveta = new Resplot( "resolution phi vs eta", 12, -3, 3, 41, -0.01, 0.01);
67 etaveta = new Resplot( "resolution eta vs eta", 12, -3, 3, 41, -0.01, 0.01);
68 z0veta = new Resplot( "resolution z vs eta", 12, -3, 3, 41, -1, 1);
69
70 z0vz0 = new Resplot( "resolution z vs z", 40, -200, 200, 41, -1, 1);
71 d0vd0 = new Resplot( "resolution d0 vs d0", 20, -5, 5, 61, -0.3, 0.3);
72#endif
73
74}
75
76
77
78void TrackEfficiency::execute( const std::vector<TIDA::Track*>& reftracks,
79 const std::vector<TIDA::Track*>& /*testtracks*/,
80 TrackAssociator* matcher )
81{
82 std::cout << "execute() " << name() << std::endl;
83
84 // for ( int i=0 ; i<reftracks.size() ; i++ ) std::cout << i << " " << *reftracks[i] << " ref" << std::endl;
85 // for ( int i=0 ; i<testtracks.size() ; i++ ) std::cout << i << " " << *testtracks[i] << " tst" << std::endl;
86
87 // for an efficiency, we want at most 1 matching reco track
88 // for each true track
89 // for a purity, we want at most 1 true track for each
90 // reconstructed track
91 // for a resolution we only want to consider matched pairs
92 // of tracks
93
94 // this is an efficiency
95 for ( unsigned i=reftracks.size() ; i-- ; ) {
96
97 // get the matched reco track for this true track if
98 // there is one - returns NULL if no matching track
99
100 // std::cout << i << " " << *reftracks[i] << std::endl;
101
102 const TIDA::Track* matchedreco = matcher->matched(reftracks[i]);
103
104 std::cout << "\t\tSUTT Analysis " << name() << "\t" << i << " " << *reftracks[i] << " -> ";
105
106 if ( matchedreco ) {
107
108 std::cout << *matchedreco << std::endl;
109
110 // convert pt in MeV to GeV
111 double pTt = reftracks[i]->pT()/1000; // convert to GeV
112 double pTr = matchedreco->pT()/1000; // convert to GeV
113
114#if 0
115 effvsPT->Fill( reftracks[i]->pT() );
116 effvseta->Fill( reftracks[i]->eta() );
117 effvsphi->Fill( reftracks[i]->phi() );
118 effvsd0->Fill( reftracks[i]->a0() );
119
120
121 // fill the plots
122 iptvipt->Fill( 1/pTt, 1/pTt-1/pTr );
123 ptvpt->Fill( reftracks[i]->pT(), pTt-pTr );
124
125 phivpt->Fill( reftracks[i]->pT(), reftracks[i]->phi()-matchedreco->phi() );
126 etavpt->Fill( reftracks[i]->pT(), reftracks[i]->eta()-matchedreco->eta() );
127 z0vpt->Fill( reftracks[i]->pT(), reftracks[i]->z0()-matchedreco->z0() );
128 d0vpt->Fill( reftracks[i]->pT(), reftracks[i]->a0()-matchedreco->a0() );
129
130 ptveta->Fill( reftracks[i]->eta(), pTt-pTr);
131 iptveta->Fill( reftracks[i]->eta(), 1/pTt-1/pTr);
132 phiveta->Fill( reftracks[i]->eta(), reftracks[i]->phi()-matchedreco->phi() );
133 etaveta->Fill( reftracks[i]->eta(), reftracks[i]->eta()-matchedreco->eta() );
134 z0veta->Fill( reftracks[i]->eta(), reftracks[i]->z0()-matchedreco->z0() );
135
136 z0vz0->Fill( reftracks[i]->z0(), reftracks[i]->z0()-matchedreco->z0() );
137 d0vd0->Fill( reftracks[i]->a0(), reftracks[i]->a0()-matchedreco->a0() );
138#endif
139
140 std::cout << "SUTT pt res "
141 << "\tpt=" << reftracks[i]->pT()
142 << "\tpTr=" << pTt
143 << "\t1/pTt=" << 1/pTt
144 << "\tDpT=" << pTt-pTr
145 << "\tD1/pT=" << 1/pTt-1/pTr
146 << std::endl;
147
148 }
149 else {
150 std::cout << " NULL" << std::endl;
151#if 0
152
153 effvsPT->FillTrueOnly( reftracks[i]->pT() );
154 effvseta->FillTrueOnly( reftracks[i]->eta() );
155 effvsphi->FillTrueOnly( reftracks[i]->phi() );
156 effvsd0->FillTrueOnly( reftracks[i]->a0() );
157#endif
158
159 }
160 }
161
162
163
164}
165
166
167
169 // sort out all the histograms and write them out
170 std::cout << "SUTT TrackEfficiency::finalise() " << name() << std::endl;
171
172#if 0
173 gDirectory->pwd();
174 Directory d(name());
175 d.push();
176 effvsPT->Finalise();
177 effvseta->Finalise(Effplot::FitQuad);
178 effvsphi->Finalise(Effplot::FitQuad);
179 effvsd0->Finalise(Effplot::FitQuad);
180 effvsPT->Write();
181 effvseta->Write();
182 effvsphi->Write();
183 effvsd0->Write();
184
185 iptvipt->Finalise();
186 ptvpt->Finalise();
187
188 phivpt->Finalise();
189 etavpt->Finalise();
190 z0vpt->Finalise();
191 d0vpt->Finalise();
192
193 ptveta->Finalise();
194 iptveta->Finalise();
195 phiveta->Finalise();
196 etaveta->Finalise();
197 z0veta->Finalise();
198
199 z0vz0->Finalise();
200 d0vd0->Finalise();
201
202 // maybe put a Write() call into Finalise() ???
203 iptvipt->Write();
204 ptvpt->Write();
205
206 phivpt->Write();
207 etavpt->Write();
208 z0vpt->Write();
209 d0vpt->Write();
210
211 ptveta->Write();
212 iptveta->Write();
213 phiveta->Write();
214 etaveta->Write();
215 z0veta->Write();
216
217 z0vz0->Write();
218 d0vd0->Write();
219
220
221 d.pop();
222
223#endif
224}
225
#define M_PI
Scalar eta() const
pseudorapidity method
Scalar phi() const
phi method
TIDA::Associator< TIDA::Track > TrackAssociator
virtual const S * matched(T *t)
const std::string & name() const
return identifier
virtual void execute(const std::vector< TIDA::Track * > &tracks1, const std::vector< TIDA::Track * > &tracks2, TrackAssociator *matcher)
virtual void finalise()
virtual void initialise()
standard operation interface
double a0
Definition globals.cxx:27