e4f2f73d |
1 | /************************************************************************** |
29b87567 |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * |
3 | * * |
4 | * Author: The ALICE Off-line Project. * |
5 | * Contributors are mentioned in the code where appropriate. * |
6 | * * |
7 | * Permission to use, copy, modify and distribute this software and its * |
8 | * documentation strictly for non-commercial purposes is hereby granted * |
9 | * without fee, provided that the above copyright notice appears in all * |
10 | * copies and that both the copyright notice and this permission notice * |
11 | * appear in the supporting documentation. The authors make no claims * |
12 | * about the suitability of this software for any purpose. It is * |
13 | * provided "as is" without express or implied warranty. * |
14 | **************************************************************************/ |
e4f2f73d |
15 | |
16 | /* $Id$ */ |
17 | |
18 | //////////////////////////////////////////////////////////////////////////// |
dd8059a8 |
19 | //// |
20 | // The TRD offline tracklet |
21 | // |
22 | // The running horse of the TRD reconstruction. The following tasks are preformed: |
23 | // 1. Clusters attachment to tracks based on prior information stored at tracklet level (see AttachClusters) |
24 | // 2. Clusters position recalculation based on track information (see GetClusterXY and Fit) |
25 | // 3. Cluster error parametrization recalculation (see Fit) |
26 | // 4. Linear track approximation (Fit) |
27 | // 5. Optimal position (including z estimate for pad row cross tracklets) and covariance matrix of the track fit inside one TRD chamber (Fit) |
28 | // 6. Tilt pad correction and systematic effects (GetCovAt) |
29 | // 7. dEdx calculation (CookdEdx) |
30 | // 8. PID probabilities estimation (CookPID) |
31 | // |
e4f2f73d |
32 | // Authors: // |
33 | // Alex Bercuci <A.Bercuci@gsi.de> // |
34 | // Markus Fasel <M.Fasel@gsi.de> // |
35 | // // |
36 | //////////////////////////////////////////////////////////////////////////// |
37 | |
38 | #include "TMath.h" |
eb38ed55 |
39 | #include <TTreeStream.h> |
e4f2f73d |
40 | |
41 | #include "AliLog.h" |
42 | #include "AliMathBase.h" |
d937ad7a |
43 | #include "AliCDBManager.h" |
44 | #include "AliTracker.h" |
e4f2f73d |
45 | |
03cef9b2 |
46 | #include "AliTRDpadPlane.h" |
e4f2f73d |
47 | #include "AliTRDcluster.h" |
f3d3af1b |
48 | #include "AliTRDseedV1.h" |
49 | #include "AliTRDtrackV1.h" |
e4f2f73d |
50 | #include "AliTRDcalibDB.h" |
eb38ed55 |
51 | #include "AliTRDchamberTimeBin.h" |
52 | #include "AliTRDtrackingChamber.h" |
53 | #include "AliTRDtrackerV1.h" |
e4f2f73d |
54 | #include "AliTRDrecoParam.h" |
a076fc2f |
55 | #include "AliTRDCommonParam.h" |
d937ad7a |
56 | |
0906e73e |
57 | #include "Cal/AliTRDCalPID.h" |
d937ad7a |
58 | #include "Cal/AliTRDCalROC.h" |
59 | #include "Cal/AliTRDCalDet.h" |
e4f2f73d |
60 | |
e4f2f73d |
61 | ClassImp(AliTRDseedV1) |
62 | |
63 | //____________________________________________________________________ |
ae4e8b84 |
64 | AliTRDseedV1::AliTRDseedV1(Int_t det) |
3e778975 |
65 | :AliTRDtrackletBase() |
4d6aee34 |
66 | ,fkReconstructor(NULL) |
67 | ,fClusterIter(NULL) |
e3cf3d02 |
68 | ,fExB(0.) |
69 | ,fVD(0.) |
70 | ,fT0(0.) |
71 | ,fS2PRF(0.) |
72 | ,fDiffL(0.) |
73 | ,fDiffT(0.) |
ae4e8b84 |
74 | ,fClusterIdx(0) |
7c3eecb8 |
75 | ,fErrorMsg(0) |
3e778975 |
76 | ,fN(0) |
ae4e8b84 |
77 | ,fDet(det) |
b25a5e9e |
78 | ,fPt(0.) |
bcb6fb78 |
79 | ,fdX(0.) |
e3cf3d02 |
80 | ,fX0(0.) |
81 | ,fX(0.) |
82 | ,fY(0.) |
83 | ,fZ(0.) |
84 | ,fS2Y(0.) |
85 | ,fS2Z(0.) |
e3cf3d02 |
86 | ,fChi2(0.) |
e4f2f73d |
87 | { |
88 | // |
89 | // Constructor |
90 | // |
f301a656 |
91 | memset(fIndexes,0xFF,kNclusters*sizeof(fIndexes[0])); |
8d2bec9e |
92 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); |
dd8059a8 |
93 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 |
94 | fYref[0] = 0.; fYref[1] = 0.; |
95 | fZref[0] = 0.; fZref[1] = 0.; |
96 | fYfit[0] = 0.; fYfit[1] = 0.; |
97 | fZfit[0] = 0.; fZfit[1] = 0.; |
8d2bec9e |
98 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
29b87567 |
99 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
e3cf3d02 |
100 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels |
101 | fLabels[2]=0; // number of different labels for tracklet |
16cca13f |
102 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
68f9b6bd |
103 | // stand alone curvature |
104 | fC[0] = 0.; fC[1] = 0.; |
d937ad7a |
105 | // covariance matrix [diagonal] |
106 | // default sy = 200um and sz = 2.3 cm |
107 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; |
f29f13a6 |
108 | SetStandAlone(kFALSE); |
e4f2f73d |
109 | } |
110 | |
111 | //____________________________________________________________________ |
0906e73e |
112 | AliTRDseedV1::AliTRDseedV1(const AliTRDseedV1 &ref) |
3e778975 |
113 | :AliTRDtrackletBase((AliTRDtrackletBase&)ref) |
4d6aee34 |
114 | ,fkReconstructor(NULL) |
115 | ,fClusterIter(NULL) |
e3cf3d02 |
116 | ,fExB(0.) |
117 | ,fVD(0.) |
118 | ,fT0(0.) |
119 | ,fS2PRF(0.) |
120 | ,fDiffL(0.) |
121 | ,fDiffT(0.) |
ae4e8b84 |
122 | ,fClusterIdx(0) |
7c3eecb8 |
123 | ,fErrorMsg(0) |
3e778975 |
124 | ,fN(0) |
e3cf3d02 |
125 | ,fDet(-1) |
b25a5e9e |
126 | ,fPt(0.) |
e3cf3d02 |
127 | ,fdX(0.) |
128 | ,fX0(0.) |
129 | ,fX(0.) |
130 | ,fY(0.) |
131 | ,fZ(0.) |
132 | ,fS2Y(0.) |
133 | ,fS2Z(0.) |
e3cf3d02 |
134 | ,fChi2(0.) |
e4f2f73d |
135 | { |
136 | // |
137 | // Copy Constructor performing a deep copy |
138 | // |
e3cf3d02 |
139 | if(this != &ref){ |
140 | ref.Copy(*this); |
141 | } |
29b87567 |
142 | SetBit(kOwner, kFALSE); |
f29f13a6 |
143 | SetStandAlone(ref.IsStandAlone()); |
fbb2ea06 |
144 | } |
d9950a5a |
145 | |
0906e73e |
146 | |
e4f2f73d |
147 | //____________________________________________________________________ |
148 | AliTRDseedV1& AliTRDseedV1::operator=(const AliTRDseedV1 &ref) |
149 | { |
150 | // |
151 | // Assignment Operator using the copy function |
152 | // |
153 | |
29b87567 |
154 | if(this != &ref){ |
155 | ref.Copy(*this); |
156 | } |
221ab7e0 |
157 | SetBit(kOwner, kFALSE); |
158 | |
29b87567 |
159 | return *this; |
e4f2f73d |
160 | } |
161 | |
162 | //____________________________________________________________________ |
163 | AliTRDseedV1::~AliTRDseedV1() |
164 | { |
165 | // |
166 | // Destructor. The RecoParam object belongs to the underlying tracker. |
167 | // |
168 | |
29b87567 |
169 | //printf("I-AliTRDseedV1::~AliTRDseedV1() : Owner[%s]\n", IsOwner()?"YES":"NO"); |
e4f2f73d |
170 | |
e3cf3d02 |
171 | if(IsOwner()) { |
8d2bec9e |
172 | for(int itb=0; itb<kNclusters; itb++){ |
29b87567 |
173 | if(!fClusters[itb]) continue; |
174 | //AliInfo(Form("deleting c %p @ %d", fClusters[itb], itb)); |
175 | delete fClusters[itb]; |
4d6aee34 |
176 | fClusters[itb] = NULL; |
29b87567 |
177 | } |
e3cf3d02 |
178 | } |
e4f2f73d |
179 | } |
180 | |
181 | //____________________________________________________________________ |
182 | void AliTRDseedV1::Copy(TObject &ref) const |
183 | { |
184 | // |
185 | // Copy function |
186 | // |
187 | |
29b87567 |
188 | //AliInfo(""); |
189 | AliTRDseedV1 &target = (AliTRDseedV1 &)ref; |
190 | |
4d6aee34 |
191 | target.fkReconstructor = fkReconstructor; |
192 | target.fClusterIter = NULL; |
e3cf3d02 |
193 | target.fExB = fExB; |
194 | target.fVD = fVD; |
195 | target.fT0 = fT0; |
196 | target.fS2PRF = fS2PRF; |
197 | target.fDiffL = fDiffL; |
198 | target.fDiffT = fDiffT; |
ae4e8b84 |
199 | target.fClusterIdx = 0; |
7c3eecb8 |
200 | target.fErrorMsg = fErrorMsg; |
3e778975 |
201 | target.fN = fN; |
ae4e8b84 |
202 | target.fDet = fDet; |
b25a5e9e |
203 | target.fPt = fPt; |
29b87567 |
204 | target.fdX = fdX; |
e3cf3d02 |
205 | target.fX0 = fX0; |
206 | target.fX = fX; |
207 | target.fY = fY; |
208 | target.fZ = fZ; |
209 | target.fS2Y = fS2Y; |
210 | target.fS2Z = fS2Z; |
e3cf3d02 |
211 | target.fChi2 = fChi2; |
29b87567 |
212 | |
8d2bec9e |
213 | memcpy(target.fIndexes, fIndexes, kNclusters*sizeof(Int_t)); |
214 | memcpy(target.fClusters, fClusters, kNclusters*sizeof(AliTRDcluster*)); |
dd8059a8 |
215 | memcpy(target.fPad, fPad, 3*sizeof(Float_t)); |
e3cf3d02 |
216 | target.fYref[0] = fYref[0]; target.fYref[1] = fYref[1]; |
217 | target.fZref[0] = fZref[0]; target.fZref[1] = fZref[1]; |
218 | target.fYfit[0] = fYfit[0]; target.fYfit[1] = fYfit[1]; |
219 | target.fZfit[0] = fZfit[0]; target.fZfit[1] = fZfit[1]; |
8d2bec9e |
220 | memcpy(target.fdEdx, fdEdx, kNslices*sizeof(Float_t)); |
e3cf3d02 |
221 | memcpy(target.fProb, fProb, AliPID::kSPECIES*sizeof(Float_t)); |
222 | memcpy(target.fLabels, fLabels, 3*sizeof(Int_t)); |
16cca13f |
223 | memcpy(target.fRefCov, fRefCov, 7*sizeof(Double_t)); |
68f9b6bd |
224 | target.fC[0] = fC[0]; target.fC[1] = fC[1]; |
e3cf3d02 |
225 | memcpy(target.fCov, fCov, 3*sizeof(Double_t)); |
29b87567 |
226 | |
e3cf3d02 |
227 | TObject::Copy(ref); |
e4f2f73d |
228 | } |
229 | |
0906e73e |
230 | |
231 | //____________________________________________________________ |
f3d3af1b |
232 | Bool_t AliTRDseedV1::Init(AliTRDtrackV1 *track) |
0906e73e |
233 | { |
234 | // Initialize this tracklet using the track information |
235 | // |
236 | // Parameters: |
237 | // track - the TRD track used to initialize the tracklet |
238 | // |
239 | // Detailed description |
240 | // The function sets the starting point and direction of the |
241 | // tracklet according to the information from the TRD track. |
242 | // |
243 | // Caution |
244 | // The TRD track has to be propagated to the beginning of the |
245 | // chamber where the tracklet will be constructed |
246 | // |
247 | |
29b87567 |
248 | Double_t y, z; |
249 | if(!track->GetProlongation(fX0, y, z)) return kFALSE; |
16cca13f |
250 | Update(track); |
29b87567 |
251 | return kTRUE; |
0906e73e |
252 | } |
253 | |
bcb6fb78 |
254 | |
e3cf3d02 |
255 | //_____________________________________________________________________________ |
980d5a2a |
256 | void AliTRDseedV1::Reset(Option_t *opt) |
e3cf3d02 |
257 | { |
980d5a2a |
258 | // |
259 | // Reset seed. If option opt="c" is given only cluster arrays are cleared. |
260 | // |
261 | for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1; |
262 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); |
560e5c05 |
263 | fN=0; SetBit(kRowCross, kFALSE); |
980d5a2a |
264 | if(strcmp(opt, "c")==0) return; |
265 | |
e3cf3d02 |
266 | fExB=0.;fVD=0.;fT0=0.;fS2PRF=0.; |
267 | fDiffL=0.;fDiffT=0.; |
3e778975 |
268 | fClusterIdx=0; |
7c3eecb8 |
269 | fErrorMsg = 0; |
dd8059a8 |
270 | fDet=-1; |
b25a5e9e |
271 | fPt=0.; |
e3cf3d02 |
272 | fdX=0.;fX0=0.; fX=0.; fY=0.; fZ=0.; |
273 | fS2Y=0.; fS2Z=0.; |
68f9b6bd |
274 | fC[0]=0.; fC[1]=0.; |
275 | fChi2 = 0.; |
e3cf3d02 |
276 | |
dd8059a8 |
277 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 |
278 | fYref[0] = 0.; fYref[1] = 0.; |
279 | fZref[0] = 0.; fZref[1] = 0.; |
280 | fYfit[0] = 0.; fYfit[1] = 0.; |
281 | fZfit[0] = 0.; fZfit[1] = 0.; |
8d2bec9e |
282 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
e3cf3d02 |
283 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
284 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels |
285 | fLabels[2]=0; // number of different labels for tracklet |
16cca13f |
286 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
e3cf3d02 |
287 | // covariance matrix [diagonal] |
288 | // default sy = 200um and sz = 2.3 cm |
289 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; |
290 | } |
291 | |
b1957d3c |
292 | //____________________________________________________________________ |
16cca13f |
293 | void AliTRDseedV1::Update(const AliTRDtrackV1 *trk) |
b1957d3c |
294 | { |
295 | // update tracklet reference position from the TRD track |
b1957d3c |
296 | |
e3cf3d02 |
297 | Double_t fSnp = trk->GetSnp(); |
298 | Double_t fTgl = trk->GetTgl(); |
b25a5e9e |
299 | fPt = trk->Pt(); |
bfd20868 |
300 | Double_t norm =1./TMath::Sqrt((1.-fSnp)*(1.+fSnp)); |
1fd9389f |
301 | fYref[1] = fSnp*norm; |
302 | fZref[1] = fTgl*norm; |
b1957d3c |
303 | SetCovRef(trk->GetCovariance()); |
304 | |
305 | Double_t dx = trk->GetX() - fX0; |
306 | fYref[0] = trk->GetY() - dx*fYref[1]; |
307 | fZref[0] = trk->GetZ() - dx*fZref[1]; |
308 | } |
309 | |
e3cf3d02 |
310 | //_____________________________________________________________________________ |
311 | void AliTRDseedV1::UpdateUsed() |
312 | { |
313 | // |
f29f13a6 |
314 | // Calculate number of used clusers in the tracklet |
e3cf3d02 |
315 | // |
316 | |
3e778975 |
317 | Int_t nused = 0, nshared = 0; |
8d2bec9e |
318 | for (Int_t i = kNclusters; i--; ) { |
e3cf3d02 |
319 | if (!fClusters[i]) continue; |
3e778975 |
320 | if(fClusters[i]->IsUsed()){ |
321 | nused++; |
322 | } else if(fClusters[i]->IsShared()){ |
323 | if(IsStandAlone()) nused++; |
324 | else nshared++; |
325 | } |
e3cf3d02 |
326 | } |
3e778975 |
327 | SetNUsed(nused); |
328 | SetNShared(nshared); |
e3cf3d02 |
329 | } |
330 | |
331 | //_____________________________________________________________________________ |
332 | void AliTRDseedV1::UseClusters() |
333 | { |
334 | // |
335 | // Use clusters |
336 | // |
f29f13a6 |
337 | // In stand alone mode: |
338 | // Clusters which are marked as used or shared from another track are |
339 | // removed from the tracklet |
340 | // |
341 | // In barrel mode: |
342 | // - Clusters which are used by another track become shared |
343 | // - Clusters which are attached to a kink track become shared |
344 | // |
e3cf3d02 |
345 | AliTRDcluster **c = &fClusters[0]; |
8d2bec9e |
346 | for (Int_t ic=kNclusters; ic--; c++) { |
e3cf3d02 |
347 | if(!(*c)) continue; |
f29f13a6 |
348 | if(IsStandAlone()){ |
349 | if((*c)->IsShared() || (*c)->IsUsed()){ |
b82b4de1 |
350 | if((*c)->IsShared()) SetNShared(GetNShared()-1); |
351 | else SetNUsed(GetNUsed()-1); |
4d6aee34 |
352 | (*c) = NULL; |
f29f13a6 |
353 | fIndexes[ic] = -1; |
3e778975 |
354 | SetN(GetN()-1); |
3e778975 |
355 | continue; |
f29f13a6 |
356 | } |
3e778975 |
357 | } else { |
f29f13a6 |
358 | if((*c)->IsUsed() || IsKink()){ |
3e778975 |
359 | (*c)->SetShared(); |
360 | continue; |
f29f13a6 |
361 | } |
362 | } |
363 | (*c)->Use(); |
e3cf3d02 |
364 | } |
365 | } |
366 | |
367 | |
f29f13a6 |
368 | |
bcb6fb78 |
369 | //____________________________________________________________________ |
370 | void AliTRDseedV1::CookdEdx(Int_t nslices) |
371 | { |
372 | // Calculates average dE/dx for all slices and store them in the internal array fdEdx. |
373 | // |
374 | // Parameters: |
375 | // nslices : number of slices for which dE/dx should be calculated |
376 | // Output: |
377 | // store results in the internal array fdEdx. This can be accessed with the method |
378 | // AliTRDseedV1::GetdEdx() |
379 | // |
380 | // Detailed description |
381 | // Calculates average dE/dx for all slices. Depending on the PID methode |
382 | // the number of slices can be 3 (LQ) or 8(NN). |
3ee48d6e |
383 | // The calculation of dQ/dl are done using the tracklet fit results (see AliTRDseedV1::GetdQdl(Int_t)) |
bcb6fb78 |
384 | // |
385 | // The following effects are included in the calculation: |
386 | // 1. calibration values for t0 and vdrift (using x coordinate to calculate slice) |
387 | // 2. cluster sharing (optional see AliTRDrecoParam::SetClusterSharing()) |
388 | // 3. cluster size |
389 | // |
390 | |
8d2bec9e |
391 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
e73abf77 |
392 | const Double_t kDriftLength = (.5 * AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
29b87567 |
393 | |
9ded305e |
394 | AliTRDcluster *c(NULL); |
29b87567 |
395 | for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){ |
8e709c82 |
396 | if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue; |
e73abf77 |
397 | Float_t dx = TMath::Abs(fX0 - c->GetX()); |
29b87567 |
398 | |
399 | // Filter clusters for dE/dx calculation |
400 | |
401 | // 1.consider calibration effects for slice determination |
e73abf77 |
402 | Int_t slice; |
403 | if(dx<kDriftLength){ // TODO should be replaced by c->IsInChamber() |
404 | slice = Int_t(dx * nslices / kDriftLength); |
405 | } else slice = c->GetX() < fX0 ? nslices-1 : 0; |
406 | |
407 | |
29b87567 |
408 | // 2. take sharing into account |
3e778975 |
409 | Float_t w = /*c->IsShared() ? .5 :*/ 1.; |
29b87567 |
410 | |
411 | // 3. take into account large clusters TODO |
412 | //w *= c->GetNPads() > 3 ? .8 : 1.; |
413 | |
414 | //CHECK !!! |
415 | fdEdx[slice] += w * GetdQdl(ic); //fdQdl[ic]; |
29b87567 |
416 | } // End of loop over clusters |
bcb6fb78 |
417 | } |
418 | |
e3cf3d02 |
419 | //_____________________________________________________________________________ |
420 | void AliTRDseedV1::CookLabels() |
421 | { |
422 | // |
423 | // Cook 2 labels for seed |
424 | // |
425 | |
426 | Int_t labels[200]; |
427 | Int_t out[200]; |
428 | Int_t nlab = 0; |
8d2bec9e |
429 | for (Int_t i = 0; i < kNclusters; i++) { |
e3cf3d02 |
430 | if (!fClusters[i]) continue; |
431 | for (Int_t ilab = 0; ilab < 3; ilab++) { |
432 | if (fClusters[i]->GetLabel(ilab) >= 0) { |
433 | labels[nlab] = fClusters[i]->GetLabel(ilab); |
434 | nlab++; |
435 | } |
436 | } |
437 | } |
438 | |
fac58f00 |
439 | fLabels[2] = AliMathBase::Freq(nlab,labels,out,kTRUE); |
e3cf3d02 |
440 | fLabels[0] = out[0]; |
441 | if ((fLabels[2] > 1) && (out[3] > 1)) fLabels[1] = out[2]; |
442 | } |
443 | |
444 | |
bcb6fb78 |
445 | //____________________________________________________________________ |
0b433f72 |
446 | Float_t AliTRDseedV1::GetdQdl(Int_t ic, Float_t *dl) const |
bcb6fb78 |
447 | { |
3ee48d6e |
448 | // Using the linear approximation of the track inside one TRD chamber (TRD tracklet) |
449 | // the charge per unit length can be written as: |
450 | // BEGIN_LATEX |
500851ab |
451 | // #frac{dq}{dl} = #frac{q_{c}}{dx * #sqrt{1 + #(){#frac{dy}{dx}}^{2}_{fit} + #(){#frac{dz}{dx}}^{2}_{ref}}} |
3ee48d6e |
452 | // END_LATEX |
453 | // where qc is the total charge collected in the current time bin and dx is the length |
0b433f72 |
454 | // of the time bin. |
455 | // The following correction are applied : |
456 | // - charge : pad row cross corrections |
457 | // [diffusion and TRF assymetry] TODO |
458 | // - dx : anisochronity, track inclination - see Fit and AliTRDcluster::GetXloc() |
459 | // and AliTRDcluster::GetYloc() for the effects taken into account |
3ee48d6e |
460 | // |
0fa1a8ee |
461 | //Begin_Html |
462 | //<img src="TRD/trackletDQDT.gif"> |
463 | //End_Html |
464 | // In the picture the energy loss measured on the tracklet as a function of drift time [left] and respectively |
465 | // drift length [right] for different particle species is displayed. |
3ee48d6e |
466 | // Author : Alex Bercuci <A.Bercuci@gsi.de> |
467 | // |
468 | Float_t dq = 0.; |
5d401b45 |
469 | // check whether both clusters are inside the chamber |
470 | Bool_t hasClusterInChamber = kFALSE; |
471 | if(fClusters[ic] && fClusters[ic]->IsInChamber()){ |
472 | hasClusterInChamber = kTRUE; |
1742f24c |
473 | dq += TMath::Abs(fClusters[ic]->GetQ()); |
5d401b45 |
474 | }else if(fClusters[ic+kNtb] && fClusters[ic+kNtb]->IsInChamber()){ |
475 | hasClusterInChamber = kTRUE; |
476 | dq += TMath::Abs(fClusters[ic+kNtb]->GetQ()); |
1742f24c |
477 | } |
5d401b45 |
478 | if(!hasClusterInChamber) return 0.; |
0b433f72 |
479 | if(dq<1.e-3) return 0.; |
3ee48d6e |
480 | |
a2abcbc5 |
481 | Double_t dx = fdX; |
482 | if(ic-1>=0 && ic+1<kNtb){ |
483 | Float_t x2(0.), x1(0.); |
5d401b45 |
484 | // try to estimate upper radial position (find the cluster which is inside the chamber) |
485 | if(fClusters[ic-1] && fClusters[ic-1]->IsInChamber()) x2 = fClusters[ic-1]->GetX(); |
486 | else if(fClusters[ic-1+kNtb] && fClusters[ic-1+kNtb]->IsInChamber()) x2 = fClusters[ic-1+kNtb]->GetX(); |
487 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x2 = fClusters[ic]->GetX()+fdX; |
a2abcbc5 |
488 | else x2 = fClusters[ic+kNtb]->GetX()+fdX; |
5d401b45 |
489 | // try to estimate lower radial position (find the cluster which is inside the chamber) |
490 | if(fClusters[ic+1] && fClusters[ic+1]->IsInChamber()) x1 = fClusters[ic+1]->GetX(); |
491 | else if(fClusters[ic+1+kNtb] && fClusters[ic+1+kNtb]->IsInChamber()) x1 = fClusters[ic+1+kNtb]->GetX(); |
492 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x1 = fClusters[ic]->GetX()-fdX; |
a2abcbc5 |
493 | else x1 = fClusters[ic+kNtb]->GetX()-fdX; |
494 | |
495 | dx = .5*(x2 - x1); |
496 | } |
0b433f72 |
497 | dx *= TMath::Sqrt(1. + fYfit[1]*fYfit[1] + fZref[1]*fZref[1]); |
0b433f72 |
498 | if(dl) (*dl) = dx; |
283604d2 |
499 | if(dx>1.e-9) return dq/dx; |
500 | else return 0.; |
bcb6fb78 |
501 | } |
502 | |
0b433f72 |
503 | //____________________________________________________________ |
504 | Float_t AliTRDseedV1::GetMomentum(Float_t *err) const |
505 | { |
506 | // Returns momentum of the track after update with the current tracklet as: |
507 | // BEGIN_LATEX |
508 | // p=#frac{1}{1/p_{t}} #sqrt{1+tgl^{2}} |
509 | // END_LATEX |
510 | // and optionally the momentum error (if err is not null). |
511 | // The estimated variance of the momentum is given by: |
512 | // BEGIN_LATEX |
513 | // #sigma_{p}^{2} = (#frac{dp}{dp_{t}})^{2} #sigma_{p_{t}}^{2}+(#frac{dp}{dtgl})^{2} #sigma_{tgl}^{2}+2#frac{dp}{dp_{t}}#frac{dp}{dtgl} cov(tgl,1/p_{t}) |
514 | // END_LATEX |
515 | // which can be simplified to |
516 | // BEGIN_LATEX |
517 | // #sigma_{p}^{2} = p^{2}p_{t}^{4}tgl^{2}#sigma_{tgl}^{2}-2p^{2}p_{t}^{3}tgl cov(tgl,1/p_{t})+p^{2}p_{t}^{2}#sigma_{1/p_{t}}^{2} |
518 | // END_LATEX |
519 | // |
520 | |
521 | Double_t p = fPt*TMath::Sqrt(1.+fZref[1]*fZref[1]); |
522 | Double_t p2 = p*p; |
523 | Double_t tgl2 = fZref[1]*fZref[1]; |
524 | Double_t pt2 = fPt*fPt; |
525 | if(err){ |
526 | Double_t s2 = |
527 | p2*tgl2*pt2*pt2*fRefCov[4] |
528 | -2.*p2*fZref[1]*fPt*pt2*fRefCov[5] |
529 | +p2*pt2*fRefCov[6]; |
530 | (*err) = TMath::Sqrt(s2); |
531 | } |
532 | return p; |
533 | } |
534 | |
b453ef55 |
535 | //____________________________________________________________________ |
536 | Float_t AliTRDseedV1::GetOccupancyTB() const |
537 | { |
538 | // Returns procentage of TB occupied by clusters |
539 | |
540 | Int_t n(0); |
541 | AliTRDcluster *c(NULL); |
542 | for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){ |
543 | if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue; |
544 | n++; |
545 | } |
546 | |
547 | return Float_t(n)/AliTRDtrackerV1::GetNTimeBins(); |
548 | } |
0b433f72 |
549 | |
0906e73e |
550 | //____________________________________________________________________ |
3e778975 |
551 | Float_t* AliTRDseedV1::GetProbability(Bool_t force) |
0906e73e |
552 | { |
3e778975 |
553 | if(!force) return &fProb[0]; |
4d6aee34 |
554 | if(!CookPID()) return NULL; |
3e778975 |
555 | return &fProb[0]; |
556 | } |
557 | |
558 | //____________________________________________________________ |
559 | Bool_t AliTRDseedV1::CookPID() |
560 | { |
0906e73e |
561 | // Fill probability array for tracklet from the DB. |
562 | // |
563 | // Parameters |
564 | // |
565 | // Output |
4d6aee34 |
566 | // returns pointer to the probability array and NULL if missing DB access |
0906e73e |
567 | // |
2a3191bb |
568 | // Retrieve PID probabilities for e+-, mu+-, K+-, pi+- and p+- from the DB according to tracklet information: |
569 | // - estimated momentum at tracklet reference point |
570 | // - dE/dx measurements |
571 | // - tracklet length |
572 | // - TRD layer |
573 | // According to the steering settings specified in the reconstruction one of the following methods are used |
574 | // - Neural Network [default] - option "nn" |
575 | // - 2D Likelihood - option "!nn" |
0906e73e |
576 | |
0906e73e |
577 | AliTRDcalibDB *calibration = AliTRDcalibDB::Instance(); |
578 | if (!calibration) { |
579 | AliError("No access to calibration data"); |
3e778975 |
580 | return kFALSE; |
0906e73e |
581 | } |
582 | |
4d6aee34 |
583 | if (!fkReconstructor) { |
3a039a31 |
584 | AliError("Reconstructor not set."); |
3e778975 |
585 | return kFALSE; |
4ba1d6ae |
586 | } |
587 | |
0906e73e |
588 | // Retrieve the CDB container class with the parametric detector response |
4d6aee34 |
589 | const AliTRDCalPID *pd = calibration->GetPIDObject(fkReconstructor->GetPIDMethod()); |
0906e73e |
590 | if (!pd) { |
591 | AliError("No access to AliTRDCalPID object"); |
3e778975 |
592 | return kFALSE; |
0906e73e |
593 | } |
10f75631 |
594 | |
29b87567 |
595 | // calculate tracklet length TO DO |
560e5c05 |
596 | Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick())/ TMath::Sqrt((1.0 - GetSnp()*GetSnp()) / (1.0 + GetTgl()*GetTgl())); |
0906e73e |
597 | |
598 | //calculate dE/dx |
9ded305e |
599 | CookdEdx(AliTRDCalPID::kNSlicesNN); |
600 | AliDebug(4, Form("p=%6.4f[GeV/c] dEdx{%7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f} l=%4.2f[cm]", GetMomentum(), fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7], length)); |
0217fcd0 |
601 | |
0906e73e |
602 | // Sets the a priori probabilities |
11d80e40 |
603 | Bool_t kPIDNN(fkReconstructor->GetPIDMethod()==AliTRDpidUtil::kNN); |
f83cd814 |
604 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) |
11d80e40 |
605 | fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, kPIDNN?GetPlane():fkReconstructor->GetRecoParam()->GetPIDLQslices()); |
f301a656 |
606 | |
3e778975 |
607 | return kTRUE; |
0906e73e |
608 | } |
609 | |
e4f2f73d |
610 | //____________________________________________________________________ |
611 | Float_t AliTRDseedV1::GetQuality(Bool_t kZcorr) const |
612 | { |
613 | // |
614 | // Returns a quality measurement of the current seed |
615 | // |
616 | |
dd8059a8 |
617 | Float_t zcorr = kZcorr ? GetTilt() * (fZfit[0] - fZref[0]) : 0.; |
29b87567 |
618 | return |
3e778975 |
619 | .5 * TMath::Abs(18.0 - GetN()) |
29b87567 |
620 | + 10.* TMath::Abs(fYfit[1] - fYref[1]) |
621 | + 5. * TMath::Abs(fYfit[0] - fYref[0] + zcorr) |
dd8059a8 |
622 | + 2. * TMath::Abs(fZfit[0] - fZref[0]) / GetPadLength(); |
e4f2f73d |
623 | } |
624 | |
0906e73e |
625 | //____________________________________________________________________ |
d937ad7a |
626 | void AliTRDseedV1::GetCovAt(Double_t x, Double_t *cov) const |
0906e73e |
627 | { |
d937ad7a |
628 | // Computes covariance in the y-z plane at radial point x (in tracking coordinates) |
629 | // and returns the results in the preallocated array cov[3] as : |
630 | // cov[0] = Var(y) |
631 | // cov[1] = Cov(yz) |
632 | // cov[2] = Var(z) |
633 | // |
634 | // Details |
635 | // |
636 | // For the linear transformation |
637 | // BEGIN_LATEX |
638 | // Y = T_{x} X^{T} |
639 | // END_LATEX |
640 | // The error propagation has the general form |
641 | // BEGIN_LATEX |
642 | // C_{Y} = T_{x} C_{X} T_{x}^{T} |
643 | // END_LATEX |
644 | // We apply this formula 2 times. First to calculate the covariance of the tracklet |
645 | // at point x we consider: |
646 | // BEGIN_LATEX |
647 | // T_{x} = (1 x); X=(y0 dy/dx); C_{X}=#(){#splitline{Var(y0) Cov(y0, dy/dx)}{Cov(y0, dy/dx) Var(dy/dx)}} |
648 | // END_LATEX |
649 | // and secondly to take into account the tilt angle |
650 | // BEGIN_LATEX |
651 | // T_{#alpha} = #(){#splitline{cos(#alpha) __ sin(#alpha)}{-sin(#alpha) __ cos(#alpha)}}; X=(y z); C_{X}=#(){#splitline{Var(y) 0}{0 Var(z)}} |
652 | // END_LATEX |
653 | // |
654 | // using simple trigonometrics one can write for this last case |
655 | // BEGIN_LATEX |
656 | // C_{Y}=#frac{1}{1+tg^{2}#alpha} #(){#splitline{(#sigma_{y}^{2}+tg^{2}#alpha#sigma_{z}^{2}) __ tg#alpha(#sigma_{z}^{2}-#sigma_{y}^{2})}{tg#alpha(#sigma_{z}^{2}-#sigma_{y}^{2}) __ (#sigma_{z}^{2}+tg^{2}#alpha#sigma_{y}^{2})}} |
657 | // END_LATEX |
658 | // which can be aproximated for small alphas (2 deg) with |
659 | // BEGIN_LATEX |
660 | // C_{Y}=#(){#splitline{#sigma_{y}^{2} __ (#sigma_{z}^{2}-#sigma_{y}^{2})tg#alpha}{((#sigma_{z}^{2}-#sigma_{y}^{2})tg#alpha __ #sigma_{z}^{2}}} |
661 | // END_LATEX |
662 | // |
663 | // before applying the tilt rotation we also apply systematic uncertainties to the tracklet |
664 | // position which can be tunned from outside via the AliTRDrecoParam::SetSysCovMatrix(). They might |
665 | // account for extra misalignment/miscalibration uncertainties. |
666 | // |
667 | // Author : |
668 | // Alex Bercuci <A.Bercuci@gsi.de> |
669 | // Date : Jan 8th 2009 |
670 | // |
b1957d3c |
671 | |
672 | |
d937ad7a |
673 | Double_t xr = fX0-x; |
674 | Double_t sy2 = fCov[0] +2.*xr*fCov[1] + xr*xr*fCov[2]; |
b72f4eaf |
675 | Double_t sz2 = fS2Z; |
676 | //GetPadLength()*GetPadLength()/12.; |
0906e73e |
677 | |
d937ad7a |
678 | // insert systematic uncertainties |
4d6aee34 |
679 | if(fkReconstructor){ |
bb2db46c |
680 | Double_t sys[15]; memset(sys, 0, 15*sizeof(Double_t)); |
4d6aee34 |
681 | fkReconstructor->GetRecoParam()->GetSysCovMatrix(sys); |
bb2db46c |
682 | sy2 += sys[0]; |
683 | sz2 += sys[1]; |
684 | } |
d937ad7a |
685 | // rotate covariance matrix |
dd8059a8 |
686 | Double_t t2 = GetTilt()*GetTilt(); |
d937ad7a |
687 | Double_t correction = 1./(1. + t2); |
688 | cov[0] = (sy2+t2*sz2)*correction; |
dd8059a8 |
689 | cov[1] = GetTilt()*(sz2 - sy2)*correction; |
d937ad7a |
690 | cov[2] = (t2*sy2+sz2)*correction; |
b72f4eaf |
691 | |
692 | //printf("C(%6.1f %+6.3f %6.1f) [%s]\n", 1.e4*TMath::Sqrt(cov[0]), cov[1], 1.e4*TMath::Sqrt(cov[2]), IsRowCross()?" RC ":"-"); |
d937ad7a |
693 | } |
eb38ed55 |
694 | |
bb2db46c |
695 | //____________________________________________________________ |
66765e8e |
696 | Int_t AliTRDseedV1::GetCovSqrt(const Double_t * const c, Double_t *d) |
bb2db46c |
697 | { |
698 | // Helper function to calculate the square root of the covariance matrix. |
699 | // The input matrix is stored in the vector c and the result in the vector d. |
41b7c7b6 |
700 | // Both arrays have to be initialized by the user with at least 3 elements. Return negative in case of failure. |
bb2db46c |
701 | // |
ec3f0161 |
702 | // For calculating the square root of the symmetric matrix c |
703 | // the following relation is used: |
bb2db46c |
704 | // BEGIN_LATEX |
ec3f0161 |
705 | // C^{1/2} = VD^{1/2}V^{-1} |
bb2db46c |
706 | // END_LATEX |
41b7c7b6 |
707 | // with V being the matrix with the n eigenvectors as columns. |
ec3f0161 |
708 | // In case C is symmetric the followings are true: |
709 | // - matrix D is diagonal with the diagonal given by the eigenvalues of C |
41b7c7b6 |
710 | // - V = V^{-1} |
bb2db46c |
711 | // |
712 | // Author A.Bercuci <A.Bercuci@gsi.de> |
713 | // Date Mar 19 2009 |
714 | |
66765e8e |
715 | const Double_t kZero(1.e-20); |
4d6aee34 |
716 | Double_t l[2], // eigenvalues |
717 | v[3]; // eigenvectors |
bb2db46c |
718 | // the secular equation and its solution : |
719 | // (c[0]-L)(c[2]-L)-c[1]^2 = 0 |
720 | // L^2 - L*Tr(c)+DET(c) = 0 |
721 | // L12 = [Tr(c) +- sqrt(Tr(c)^2-4*DET(c))]/2 |
4d6aee34 |
722 | Double_t tr = c[0]+c[2], // trace |
723 | det = c[0]*c[2]-c[1]*c[1]; // determinant |
66765e8e |
724 | if(TMath::Abs(det)<kZero) return 1; |
4d6aee34 |
725 | Double_t dd = TMath::Sqrt(tr*tr - 4*det); |
66765e8e |
726 | l[0] = .5*(tr + dd*(c[0]>c[2]?-1.:1.)); |
727 | l[1] = .5*(tr + dd*(c[0]>c[2]?1.:-1.)); |
728 | if(l[0]<kZero || l[1]<kZero) return 2; |
41b7c7b6 |
729 | // the sym V matrix |
730 | // | v00 v10| |
731 | // | v10 v11| |
66765e8e |
732 | Double_t den = (l[0]-c[0])*(l[0]-c[0])+c[1]*c[1]; |
733 | if(den<kZero){ // almost diagonal |
734 | v[0] = TMath::Sign(0., c[1]); |
735 | v[1] = TMath::Sign(1., (l[0]-c[0])); |
736 | v[2] = TMath::Sign(0., c[1]*(l[0]-c[0])*(l[1]-c[2])); |
737 | } else { |
738 | Double_t tmp = 1./TMath::Sqrt(den); |
739 | v[0] = c[1]* tmp; |
740 | v[1] = (l[0]-c[0])*tmp; |
741 | if(TMath::Abs(l[1]-c[2])<kZero) v[2] = TMath::Sign(v[0]*(l[0]-c[0])/kZero, (l[1]-c[2])); |
742 | else v[2] = v[0]*(l[0]-c[0])/(l[1]-c[2]); |
743 | } |
41b7c7b6 |
744 | // the VD^{1/2}V is: |
4d6aee34 |
745 | l[0] = TMath::Sqrt(l[0]); l[1] = TMath::Sqrt(l[1]); |
746 | d[0] = v[0]*v[0]*l[0]+v[1]*v[1]*l[1]; |
747 | d[1] = v[0]*v[1]*l[0]+v[1]*v[2]*l[1]; |
748 | d[2] = v[1]*v[1]*l[0]+v[2]*v[2]*l[1]; |
bb2db46c |
749 | |
66765e8e |
750 | return 0; |
bb2db46c |
751 | } |
752 | |
753 | //____________________________________________________________ |
4d6aee34 |
754 | Double_t AliTRDseedV1::GetCovInv(const Double_t * const c, Double_t *d) |
bb2db46c |
755 | { |
756 | // Helper function to calculate the inverse of the covariance matrix. |
757 | // The input matrix is stored in the vector c and the result in the vector d. |
758 | // Both arrays have to be initialized by the user with at least 3 elements |
759 | // The return value is the determinant or 0 in case of singularity. |
760 | // |
761 | // Author A.Bercuci <A.Bercuci@gsi.de> |
762 | // Date Mar 19 2009 |
763 | |
4d6aee34 |
764 | Double_t det = c[0]*c[2] - c[1]*c[1]; |
765 | if(TMath::Abs(det)<1.e-20) return 0.; |
766 | Double_t invDet = 1./det; |
767 | d[0] = c[2]*invDet; |
768 | d[1] =-c[1]*invDet; |
769 | d[2] = c[0]*invDet; |
770 | return det; |
bb2db46c |
771 | } |
0906e73e |
772 | |
b72f4eaf |
773 | //____________________________________________________________________ |
774 | UShort_t AliTRDseedV1::GetVolumeId() const |
775 | { |
fbe11be7 |
776 | for(Int_t ic(0);ic<kNclusters; ic++){ |
777 | if(fClusters[ic]) return fClusters[ic]->GetVolumeId(); |
778 | } |
779 | return 0; |
b72f4eaf |
780 | } |
781 | |
782 | |
d937ad7a |
783 | //____________________________________________________________________ |
e3cf3d02 |
784 | void AliTRDseedV1::Calibrate() |
d937ad7a |
785 | { |
e3cf3d02 |
786 | // Retrieve calibration and position parameters from OCDB. |
787 | // The following information are used |
d937ad7a |
788 | // - detector index |
e3cf3d02 |
789 | // - column and row position of first attached cluster. If no clusters are attached |
790 | // to the tracklet a random central chamber position (c=70, r=7) will be used. |
791 | // |
792 | // The following information is cached in the tracklet |
793 | // t0 (trigger delay) |
794 | // drift velocity |
795 | // PRF width |
796 | // omega*tau = tg(a_L) |
797 | // diffusion coefficients (longitudinal and transversal) |
d937ad7a |
798 | // |
799 | // Author : |
800 | // Alex Bercuci <A.Bercuci@gsi.de> |
801 | // Date : Jan 8th 2009 |
802 | // |
eb38ed55 |
803 | |
d937ad7a |
804 | AliCDBManager *cdb = AliCDBManager::Instance(); |
805 | if(cdb->GetRun() < 0){ |
806 | AliError("OCDB manager not properly initialized"); |
807 | return; |
808 | } |
0906e73e |
809 | |
e3cf3d02 |
810 | AliTRDcalibDB *calib = AliTRDcalibDB::Instance(); |
811 | AliTRDCalROC *vdROC = calib->GetVdriftROC(fDet), |
812 | *t0ROC = calib->GetT0ROC(fDet);; |
813 | const AliTRDCalDet *vdDet = calib->GetVdriftDet(); |
814 | const AliTRDCalDet *t0Det = calib->GetT0Det(); |
d937ad7a |
815 | |
816 | Int_t col = 70, row = 7; |
817 | AliTRDcluster **c = &fClusters[0]; |
3e778975 |
818 | if(GetN()){ |
d937ad7a |
819 | Int_t ic = 0; |
8d2bec9e |
820 | while (ic<kNclusters && !(*c)){ic++; c++;} |
d937ad7a |
821 | if(*c){ |
822 | col = (*c)->GetPadCol(); |
823 | row = (*c)->GetPadRow(); |
824 | } |
825 | } |
3a039a31 |
826 | |
e17f4785 |
827 | fT0 = (t0Det->GetValue(fDet) + t0ROC->GetValue(col,row)) / AliTRDCommonParam::Instance()->GetSamplingFrequency(); |
e3cf3d02 |
828 | fVD = vdDet->GetValue(fDet) * vdROC->GetValue(col, row); |
829 | fS2PRF = calib->GetPRFWidth(fDet, col, row); fS2PRF *= fS2PRF; |
830 | fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVD); |
831 | AliTRDCommonParam::Instance()->GetDiffCoeff(fDiffL, |
832 | fDiffT, fVD); |
903326c1 |
833 | AliDebug(4, Form("Calibration params for Det[%3d] Col[%3d] Row[%2d]\n t0[%f] vd[%f] s2PRF[%f] ExB[%f] Dl[%f] Dt[%f]", fDet, col, row, fT0, fVD, fS2PRF, fExB, fDiffL, fDiffT)); |
834 | |
835 | |
e3cf3d02 |
836 | SetBit(kCalib, kTRUE); |
0906e73e |
837 | } |
838 | |
0906e73e |
839 | //____________________________________________________________________ |
29b87567 |
840 | void AliTRDseedV1::SetOwner() |
0906e73e |
841 | { |
29b87567 |
842 | //AliInfo(Form("own [%s] fOwner[%s]", own?"YES":"NO", fOwner?"YES":"NO")); |
843 | |
844 | if(TestBit(kOwner)) return; |
8d2bec9e |
845 | for(int ic=0; ic<kNclusters; ic++){ |
29b87567 |
846 | if(!fClusters[ic]) continue; |
847 | fClusters[ic] = new AliTRDcluster(*fClusters[ic]); |
848 | } |
849 | SetBit(kOwner); |
0906e73e |
850 | } |
851 | |
eb2b4f91 |
852 | //____________________________________________________________ |
853 | void AliTRDseedV1::SetPadPlane(AliTRDpadPlane *p) |
854 | { |
855 | // Shortcut method to initialize pad geometry. |
856 | if(!p) return; |
857 | SetTilt(TMath::Tan(TMath::DegToRad()*p->GetTiltingAngle())); |
858 | SetPadLength(p->GetLengthIPad()); |
859 | SetPadWidth(p->GetWidthIPad()); |
860 | } |
861 | |
862 | |
e4f2f73d |
863 | //____________________________________________________________________ |
4d6aee34 |
864 | Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *const chamber, Bool_t tilt) |
e4f2f73d |
865 | { |
1fd9389f |
866 | // |
867 | // Projective algorithm to attach clusters to seeding tracklets. The following steps are performed : |
868 | // 1. Collapse x coordinate for the full detector plane |
869 | // 2. truncated mean on y (r-phi) direction |
870 | // 3. purge clusters |
871 | // 4. truncated mean on z direction |
872 | // 5. purge clusters |
873 | // |
874 | // Parameters |
875 | // - chamber : pointer to tracking chamber container used to search the tracklet |
876 | // - tilt : switch for tilt correction during road building [default true] |
877 | // Output |
878 | // - true : if tracklet found successfully. Failure can happend because of the following: |
879 | // - |
880 | // Detailed description |
881 | // |
882 | // We start up by defining the track direction in the xy plane and roads. The roads are calculated based |
8a7ff53c |
883 | // on tracking information (variance in the r-phi direction) and estimated variance of the standard |
884 | // clusters (see AliTRDcluster::SetSigmaY2()) corrected for tilt (see GetCovAt()). From this the road is |
885 | // BEGIN_LATEX |
500851ab |
886 | // r_{y} = 3*#sqrt{12*(#sigma^{2}_{Trk}(y) + #frac{#sigma^{2}_{cl}(y) + tg^{2}(#alpha_{L})#sigma^{2}_{cl}(z)}{1+tg^{2}(#alpha_{L})})} |
8a7ff53c |
887 | // r_{z} = 1.5*L_{pad} |
888 | // END_LATEX |
1fd9389f |
889 | // |
4b755889 |
890 | // Author : Alexandru Bercuci <A.Bercuci@gsi.de> |
891 | // Debug : level >3 |
1fd9389f |
892 | |
fc0882f3 |
893 | const AliTRDrecoParam* const recoParam = fkReconstructor->GetRecoParam(); //the dynamic cast in GetRecoParam is slow, so caching the pointer to it |
894 | |
895 | if(!recoParam){ |
560e5c05 |
896 | AliError("Tracklets can not be used without a valid RecoParam."); |
29b87567 |
897 | return kFALSE; |
898 | } |
b1957d3c |
899 | // Initialize reco params for this tracklet |
900 | // 1. first time bin in the drift region |
a2abcbc5 |
901 | Int_t t0 = 14; |
fc0882f3 |
902 | Int_t kClmin = Int_t(recoParam->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins()); |
29b87567 |
903 | |
fc0882f3 |
904 | Double_t sysCov[5]; recoParam->GetSysCovMatrix(sysCov); |
8a7ff53c |
905 | Double_t s2yTrk= fRefCov[0], |
906 | s2yCl = 0., |
907 | s2zCl = GetPadLength()*GetPadLength()/12., |
908 | syRef = TMath::Sqrt(s2yTrk), |
909 | t2 = GetTilt()*GetTilt(); |
29b87567 |
910 | //define roads |
fc0882f3 |
911 | Double_t kroady = 1., //recoParam->GetRoad1y(); |
912 | kroadz = GetPadLength() * recoParam->GetRoadzMultiplicator() + 1.; |
8a7ff53c |
913 | // define probing cluster (the perfect cluster) and default calibration |
914 | Short_t sig[] = {0, 0, 10, 30, 10, 0,0}; |
915 | AliTRDcluster cp(fDet, 6, 75, 0, sig, 0); |
560e5c05 |
916 | if(fkReconstructor->IsHLT()) cp.SetRPhiMethod(AliTRDcluster::kCOG); |
917 | if(!IsCalibrated()) Calibrate(); |
8a7ff53c |
918 | |
ee8fb199 |
919 | AliDebug(4, ""); |
920 | AliDebug(4, Form("syKalman[%f] rY[%f] rZ[%f]", syRef, kroady, kroadz)); |
29b87567 |
921 | |
922 | // working variables |
b1957d3c |
923 | const Int_t kNrows = 16; |
4b755889 |
924 | const Int_t kNcls = 3*kNclusters; // buffer size |
925 | AliTRDcluster *clst[kNrows][kNcls]; |
3044dfe5 |
926 | Bool_t blst[kNrows][kNcls]; |
4b755889 |
927 | Double_t cond[4], dx, dy, yt, zt, yres[kNrows][kNcls]; |
928 | Int_t idxs[kNrows][kNcls], ncl[kNrows], ncls = 0; |
b1957d3c |
929 | memset(ncl, 0, kNrows*sizeof(Int_t)); |
4b755889 |
930 | memset(yres, 0, kNrows*kNcls*sizeof(Double_t)); |
3044dfe5 |
931 | memset(blst, 0, kNrows*kNcls*sizeof(Bool_t)); //this is 8 times faster to memset than "memset(clst, 0, kNrows*kNcls*sizeof(AliTRDcluster*))" |
b1957d3c |
932 | |
29b87567 |
933 | // Do cluster projection |
4d6aee34 |
934 | AliTRDcluster *c = NULL; |
935 | AliTRDchamberTimeBin *layer = NULL; |
b1957d3c |
936 | Bool_t kBUFFER = kFALSE; |
4b755889 |
937 | for (Int_t it = 0; it < kNtb; it++) { |
b1957d3c |
938 | if(!(layer = chamber->GetTB(it))) continue; |
29b87567 |
939 | if(!Int_t(*layer)) continue; |
8a7ff53c |
940 | // get track projection at layers position |
b1957d3c |
941 | dx = fX0 - layer->GetX(); |
942 | yt = fYref[0] - fYref[1] * dx; |
943 | zt = fZref[0] - fZref[1] * dx; |
8a7ff53c |
944 | // get standard cluster error corrected for tilt |
945 | cp.SetLocalTimeBin(it); |
946 | cp.SetSigmaY2(0.02, fDiffT, fExB, dx, -1./*zt*/, fYref[1]); |
d956a643 |
947 | s2yCl = (cp.GetSigmaY2() + sysCov[0] + t2*s2zCl)/(1.+t2); |
8a7ff53c |
948 | // get estimated road |
949 | kroady = 3.*TMath::Sqrt(12.*(s2yTrk + s2yCl)); |
950 | |
ee8fb199 |
951 | AliDebug(5, Form(" %2d x[%f] yt[%f] zt[%f]", it, dx, yt, zt)); |
952 | |
953 | AliDebug(5, Form(" syTrk[um]=%6.2f syCl[um]=%6.2f syClTlt[um]=%6.2f Ry[mm]=%f", 1.e4*TMath::Sqrt(s2yTrk), 1.e4*TMath::Sqrt(cp.GetSigmaY2()), 1.e4*TMath::Sqrt(s2yCl), 1.e1*kroady)); |
b1957d3c |
954 | |
8a7ff53c |
955 | // select clusters |
b1957d3c |
956 | cond[0] = yt; cond[2] = kroady; |
957 | cond[1] = zt; cond[3] = kroadz; |
958 | Int_t n=0, idx[6]; |
959 | layer->GetClusters(cond, idx, n, 6); |
960 | for(Int_t ic = n; ic--;){ |
961 | c = (*layer)[idx[ic]]; |
962 | dy = yt - c->GetY(); |
dd8059a8 |
963 | dy += tilt ? GetTilt() * (c->GetZ() - zt) : 0.; |
b1957d3c |
964 | // select clusters on a 3 sigmaKalman level |
965 | /* if(tilt && TMath::Abs(dy) > 3.*syRef){ |
966 | printf("too large !!!\n"); |
967 | continue; |
968 | }*/ |
969 | Int_t r = c->GetPadRow(); |
ee8fb199 |
970 | AliDebug(5, Form(" -> dy[%f] yc[%f] r[%d]", TMath::Abs(dy), c->GetY(), r)); |
b1957d3c |
971 | clst[r][ncl[r]] = c; |
3044dfe5 |
972 | blst[r][ncl[r]] = kTRUE; |
b1957d3c |
973 | idxs[r][ncl[r]] = idx[ic]; |
974 | yres[r][ncl[r]] = dy; |
975 | ncl[r]++; ncls++; |
976 | |
4b755889 |
977 | if(ncl[r] >= kNcls) { |
560e5c05 |
978 | AliWarning(Form("Cluster candidates row[%d] reached buffer limit[%d]. Some may be lost.", r, kNcls)); |
b1957d3c |
979 | kBUFFER = kTRUE; |
29b87567 |
980 | break; |
981 | } |
982 | } |
b1957d3c |
983 | if(kBUFFER) break; |
29b87567 |
984 | } |
ee8fb199 |
985 | AliDebug(4, Form("Found %d clusters. Processing ...", ncls)); |
986 | if(ncls<kClmin){ |
560e5c05 |
987 | AliDebug(1, Form("CLUSTERS FOUND %d LESS THAN THRESHOLD %d.", ncls, kClmin)); |
7c3eecb8 |
988 | SetErrorMsg(kAttachClFound); |
ee8fb199 |
989 | return kFALSE; |
990 | } |
991 | |
b1957d3c |
992 | // analyze each row individualy |
560e5c05 |
993 | Bool_t kRowSelection(kFALSE); |
994 | Double_t mean[]={1.e3, 1.e3, 1.3}, syDis[]={1.e3, 1.e3, 1.3}; |
995 | Int_t nrow[] = {0, 0, 0}, rowId[] = {-1, -1, -1}, nr = 0, lr=-1; |
996 | TVectorD vdy[3]; |
997 | for(Int_t ir=0; ir<kNrows; ir++){ |
b1957d3c |
998 | if(!(ncl[ir])) continue; |
560e5c05 |
999 | if(lr>0 && ir-lr != 1){ |
1000 | AliDebug(2, "Rows attached not continuous. Turn on selection."); |
1001 | kRowSelection=kTRUE; |
29b87567 |
1002 | } |
560e5c05 |
1003 | |
ee8fb199 |
1004 | AliDebug(5, Form(" r[%d] n[%d]", ir, ncl[ir])); |
b1957d3c |
1005 | // Evaluate truncated mean on the y direction |
560e5c05 |
1006 | if(ncl[ir] < 4) continue; |
1007 | AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean[nr], syDis[nr], Int_t(ncl[ir]*.8)); |
4b755889 |
1008 | |
b1957d3c |
1009 | // TODO check mean and sigma agains cluster resolution !! |
560e5c05 |
1010 | AliDebug(4, Form(" m_%d[%+5.3f (%5.3fs)] s[%f]", nr, mean[nr], TMath::Abs(mean[nr]/syDis[nr]), syDis[nr])); |
1011 | // remove outliers based on a 3 sigmaDistr level |
b1957d3c |
1012 | Bool_t kFOUND = kFALSE; |
1013 | for(Int_t ic = ncl[ir]; ic--;){ |
560e5c05 |
1014 | if(yres[ir][ic] - mean[nr] > 3. * syDis[nr]){ |
3044dfe5 |
1015 | blst[ir][ic] = kFALSE; continue; |
b1957d3c |
1016 | } |
560e5c05 |
1017 | nrow[nr]++; rowId[nr]=ir; kFOUND = kTRUE; |
1018 | } |
1019 | if(kFOUND){ |
1020 | vdy[nr].Use(nrow[nr], yres[ir]); |
1021 | nr++; |
b1957d3c |
1022 | } |
b1957d3c |
1023 | lr = ir; if(nr>=3) break; |
29b87567 |
1024 | } |
fc0882f3 |
1025 | if(recoParam->GetStreamLevel(AliTRDrecoParam::kTracker) > 3 && fkReconstructor->IsDebugStreaming()){ |
560e5c05 |
1026 | TTreeSRedirector &cstreamer = *fkReconstructor->GetDebugStream(AliTRDrecoParam::kTracker); |
1027 | UChar_t stat(0); |
1028 | if(IsKink()) SETBIT(stat, 1); |
1029 | if(IsStandAlone()) SETBIT(stat, 2); |
1030 | cstreamer << "AttachClusters" |
1031 | << "stat=" << stat |
1032 | << "det=" << fDet |
1033 | << "pt=" << fPt |
1034 | << "s2y=" << s2yTrk |
1035 | << "r0=" << rowId[0] |
1036 | << "dy0=" << &vdy[0] |
1037 | << "m0=" << mean[0] |
1038 | << "s0=" << syDis[0] |
1039 | << "r1=" << rowId[1] |
1040 | << "dy1=" << &vdy[1] |
1041 | << "m1=" << mean[1] |
1042 | << "s1=" << syDis[1] |
1043 | << "r2=" << rowId[2] |
1044 | << "dy2=" << &vdy[2] |
1045 | << "m2=" << mean[2] |
1046 | << "s2=" << syDis[2] |
1047 | << "\n"; |
1048 | } |
1049 | |
1050 | |
1051 | // analyze gap in rows attached |
1052 | if(kRowSelection){ |
1053 | SetErrorMsg(kAttachRowGap); |
1054 | Int_t rowRemove(-1); |
1055 | if(nr==2){ // select based on minimum distance to track projection |
1056 | if(TMath::Abs(mean[0])<TMath::Abs(mean[1])){ |
1057 | if(nrow[1]>nrow[0]) AliDebug(2, Form("Conflicting mean[%f < %f] but ncl[%d < %d].", TMath::Abs(mean[0]), TMath::Abs(mean[1]), nrow[0], nrow[1])); |
1058 | }else{ |
1059 | if(nrow[1]<nrow[0]) AliDebug(2, Form("Conflicting mean[%f > %f] but ncl[%d > %d].", TMath::Abs(mean[0]), TMath::Abs(mean[1]), nrow[0], nrow[1])); |
1060 | Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]); |
1061 | Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]); |
1062 | } |
1063 | rowRemove=1; nr=1; |
1064 | } else if(nr==3){ // select based on 2 consecutive rows |
1065 | if(rowId[1]==rowId[0]+1 && rowId[1]!=rowId[2]-1){ |
1066 | nr=2;rowRemove=2; |
1067 | } else if(rowId[1]!=rowId[0]+1 && rowId[1]==rowId[2]-1){ |
1068 | Swap(nrow[0],nrow[2]); Swap(rowId[0],rowId[2]); |
1069 | Swap(mean[0],mean[2]); Swap(syDis[0],syDis[2]); |
1070 | nr=2; rowRemove=2; |
1071 | } |
29b87567 |
1072 | } |
560e5c05 |
1073 | if(rowRemove>0){nrow[rowRemove]=0; rowId[rowRemove]=-1;} |
29b87567 |
1074 | } |
560e5c05 |
1075 | AliDebug(4, Form(" Ncl[%d[%d] + %d[%d] + %d[%d]]", nrow[0], rowId[0], nrow[1], rowId[1], nrow[2], rowId[2])); |
1076 | |
1077 | if(nr==3){ |
1078 | SetBit(kRowCross, kTRUE); // mark pad row crossing |
7c3eecb8 |
1079 | SetErrorMsg(kAttachRow); |
560e5c05 |
1080 | const Float_t am[]={TMath::Abs(mean[0]), TMath::Abs(mean[1]), TMath::Abs(mean[2])}; |
1081 | AliDebug(4, Form("complex row configuration\n" |
1082 | " r[%d] n[%d] m[%6.3f] s[%6.3f]\n" |
1083 | " r[%d] n[%d] m[%6.3f] s[%6.3f]\n" |
1084 | " r[%d] n[%d] m[%6.3f] s[%6.3f]\n" |
1085 | , rowId[0], nrow[0], am[0], syDis[0] |
1086 | , rowId[1], nrow[1], am[1], syDis[1] |
1087 | , rowId[2], nrow[2], am[2], syDis[2])); |
1088 | Int_t id[]={0,1,2}; TMath::Sort(3, am, id, kFALSE); |
1089 | // backup |
1090 | Int_t rnn[3]; memcpy(rnn, nrow, 3*sizeof(Int_t)); |
1091 | Int_t rid[3]; memcpy(rid, rowId, 3*sizeof(Int_t)); |
1092 | Double_t rm[3]; memcpy(rm, mean, 3*sizeof(Double_t)); |
1093 | Double_t rs[3]; memcpy(rs, syDis, 3*sizeof(Double_t)); |
1094 | nrow[0]=rnn[id[0]]; rowId[0]=rid[id[0]]; mean[0]=rm[id[0]]; syDis[0]=rs[id[0]]; |
1095 | nrow[1]=rnn[id[1]]; rowId[1]=rid[id[1]]; mean[1]=rm[id[1]]; syDis[1]=rs[id[1]]; |
1096 | nrow[2]=0; rowId[2]=-1; mean[2] = 1.e3; syDis[2] = 1.e3; |
1097 | AliDebug(4, Form("solved configuration\n" |
1098 | " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n" |
1099 | " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n" |
1100 | " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n" |
1101 | , rowId[0], nrow[0], mean[0], syDis[0] |
1102 | , rowId[1], nrow[1], mean[1], syDis[1] |
1103 | , rowId[2], nrow[2], mean[2], syDis[2])); |
1104 | nr=2; |
1105 | } else if(nr==2) { |
1106 | SetBit(kRowCross, kTRUE); // mark pad row crossing |
1107 | if(nrow[1] > nrow[0]){ // swap row order |
1108 | Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]); |
1109 | Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]); |
1110 | } |
ee8fb199 |
1111 | } |
560e5c05 |
1112 | |
b1957d3c |
1113 | // Select and store clusters |
1114 | // We should consider here : |
1115 | // 1. How far is the chamber boundary |
1116 | // 2. How big is the mean |
560e5c05 |
1117 | Int_t n(0); Float_t dyc[kNclusters]; memset(dyc,0,kNclusters*sizeof(Float_t)); |
b1957d3c |
1118 | for (Int_t ir = 0; ir < nr; ir++) { |
560e5c05 |
1119 | Int_t jr(rowId[ir]); |
1120 | AliDebug(4, Form(" Attaching Ncl[%d]=%d ...", jr, ncl[jr])); |
b1957d3c |
1121 | for (Int_t ic = 0; ic < ncl[jr]; ic++) { |
3044dfe5 |
1122 | if(!blst[jr][ic])continue; |
1123 | c = clst[jr][ic]; |
560e5c05 |
1124 | Int_t it(c->GetPadTime()); |
1125 | Int_t idx(it+kNtb*ir); |
6ad5e6b2 |
1126 | if(fClusters[idx]){ |
560e5c05 |
1127 | AliDebug(4, Form("Many cluster candidates on row[%2d] tb[%2d].", jr, it)); |
1128 | // TODO should save also the information on where the multiplicity happened and its size |
6ad5e6b2 |
1129 | SetErrorMsg(kAttachMultipleCl); |
560e5c05 |
1130 | // TODO should also compare with mean and sigma for this row |
1131 | if(yres[jr][ic] > dyc[idx]) continue; |
6ad5e6b2 |
1132 | } |
1133 | |
b1957d3c |
1134 | // TODO proper indexing of clusters !! |
6ad5e6b2 |
1135 | fIndexes[idx] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]); |
1136 | fClusters[idx] = c; |
560e5c05 |
1137 | dyc[idx] = yres[jr][ic]; |
3e778975 |
1138 | n++; |
b1957d3c |
1139 | } |
560e5c05 |
1140 | } |
6ad5e6b2 |
1141 | SetN(n); |
b1957d3c |
1142 | |
29b87567 |
1143 | // number of minimum numbers of clusters expected for the tracklet |
6ad5e6b2 |
1144 | if (GetN() < kClmin){ |
560e5c05 |
1145 | AliDebug(1, Form("NOT ENOUGH CLUSTERS %d ATTACHED TO THE TRACKLET [min %d] FROM FOUND %d.", GetN(), kClmin, n)); |
7c3eecb8 |
1146 | SetErrorMsg(kAttachClAttach); |
e4f2f73d |
1147 | return kFALSE; |
1148 | } |
0906e73e |
1149 | |
e3cf3d02 |
1150 | // Load calibration parameters for this tracklet |
1151 | Calibrate(); |
b1957d3c |
1152 | |
1153 | // calculate dx for time bins in the drift region (calibration aware) |
a2abcbc5 |
1154 | Float_t x[2] = {0.,0.}; Int_t tb[2]={0,0}; |
1155 | for (Int_t it = t0, irp=0; irp<2 && it < AliTRDtrackerV1::GetNTimeBins(); it++) { |
b1957d3c |
1156 | if(!fClusters[it]) continue; |
1157 | x[irp] = fClusters[it]->GetX(); |
a2abcbc5 |
1158 | tb[irp] = fClusters[it]->GetLocalTimeBin(); |
b1957d3c |
1159 | irp++; |
e3cf3d02 |
1160 | } |
d86ed84c |
1161 | Int_t dtb = tb[1] - tb[0]; |
1162 | fdX = dtb ? (x[0] - x[1]) / dtb : 0.15; |
29b87567 |
1163 | return kTRUE; |
e4f2f73d |
1164 | } |
1165 | |
03cef9b2 |
1166 | //____________________________________________________________ |
1167 | void AliTRDseedV1::Bootstrap(const AliTRDReconstructor *rec) |
1168 | { |
1169 | // Fill in all derived information. It has to be called after recovery from file or HLT. |
1170 | // The primitive data are |
1171 | // - list of clusters |
1172 | // - detector (as the detector will be removed from clusters) |
1173 | // - position of anode wire (fX0) - temporary |
1174 | // - track reference position and direction |
1175 | // - momentum of the track |
1176 | // - time bin length [cm] |
1177 | // |
1178 | // A.Bercuci <A.Bercuci@gsi.de> Oct 30th 2008 |
1179 | // |
4d6aee34 |
1180 | fkReconstructor = rec; |
03cef9b2 |
1181 | AliTRDgeometry g; |
1182 | AliTRDpadPlane *pp = g.GetPadPlane(fDet); |
dd8059a8 |
1183 | fPad[0] = pp->GetLengthIPad(); |
1184 | fPad[1] = pp->GetWidthIPad(); |
525f399b |
1185 | fPad[2] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle()); |
e3cf3d02 |
1186 | //fSnp = fYref[1]/TMath::Sqrt(1+fYref[1]*fYref[1]); |
1187 | //fTgl = fZref[1]; |
3e778975 |
1188 | Int_t n = 0, nshare = 0, nused = 0; |
03cef9b2 |
1189 | AliTRDcluster **cit = &fClusters[0]; |
8d2bec9e |
1190 | for(Int_t ic = kNclusters; ic--; cit++){ |
03cef9b2 |
1191 | if(!(*cit)) return; |
3e778975 |
1192 | n++; |
1193 | if((*cit)->IsShared()) nshare++; |
1194 | if((*cit)->IsUsed()) nused++; |
03cef9b2 |
1195 | } |
3e778975 |
1196 | SetN(n); SetNUsed(nused); SetNShared(nshare); |
e3cf3d02 |
1197 | Fit(); |
03cef9b2 |
1198 | CookLabels(); |
1199 | GetProbability(); |
1200 | } |
1201 | |
1202 | |
e4f2f73d |
1203 | //____________________________________________________________________ |
b72f4eaf |
1204 | Bool_t AliTRDseedV1::Fit(Bool_t tilt, Bool_t zcorr) |
e4f2f73d |
1205 | { |
16cca13f |
1206 | // |
1207 | // Linear fit of the clusters attached to the tracklet |
1208 | // |
1209 | // Parameters : |
1210 | // - tilt : switch for tilt pad correction of cluster y position based on |
1211 | // the z, dzdx info from outside [default false]. |
1212 | // - zcorr : switch for using z information to correct for anisochronity |
1fd9389f |
1213 | // and a finner error parameterization estimation [default false] |
16cca13f |
1214 | // Output : |
1215 | // True if successful |
1216 | // |
1217 | // Detailed description |
1218 | // |
1219 | // Fit in the xy plane |
1220 | // |
1fd9389f |
1221 | // The fit is performed to estimate the y position of the tracklet and the track |
1222 | // angle in the bending plane. The clusters are represented in the chamber coordinate |
1223 | // system (with respect to the anode wire - see AliTRDtrackerV1::FollowBackProlongation() |
1224 | // on how this is set). The x and y position of the cluster and also their variances |
1225 | // are known from clusterizer level (see AliTRDcluster::GetXloc(), AliTRDcluster::GetYloc(), |
1226 | // AliTRDcluster::GetSX() and AliTRDcluster::GetSY()). |
1227 | // If gaussian approximation is used to calculate y coordinate of the cluster the position |
1228 | // is recalculated taking into account the track angle. The general formula to calculate the |
1229 | // error of cluster position in the gaussian approximation taking into account diffusion and track |
1230 | // inclination is given for TRD by: |
1231 | // BEGIN_LATEX |
1232 | // #sigma^{2}_{y} = #sigma^{2}_{PRF} + #frac{x#delta_{t}^{2}}{(1+tg(#alpha_{L}))^{2}} + #frac{x^{2}tg^{2}(#phi-#alpha_{L})tg^{2}(#alpha_{L})}{12} |
1233 | // END_LATEX |
1234 | // |
1235 | // Since errors are calculated only in the y directions, radial errors (x direction) are mapped to y |
1236 | // by projection i.e. |
1237 | // BEGIN_LATEX |
1238 | // #sigma_{x|y} = tg(#phi) #sigma_{x} |
1239 | // END_LATEX |
1240 | // and also by the lorentz angle correction |
1241 | // |
1242 | // Fit in the xz plane |
1243 | // |
1244 | // The "fit" is performed to estimate the radial position (x direction) where pad row cross happens. |
1245 | // If no pad row crossing the z position is taken from geometry and radial position is taken from the xy |
1246 | // fit (see below). |
1247 | // |
1248 | // There are two methods to estimate the radial position of the pad row cross: |
1249 | // 1. leading cluster radial position : Here the lower part of the tracklet is considered and the last |
1250 | // cluster registered (at radial x0) on this segment is chosen to mark the pad row crossing. The error |
1251 | // of the z estimate is given by : |
1252 | // BEGIN_LATEX |
1253 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 |
1254 | // END_LATEX |
1255 | // The systematic errors for this estimation are generated by the following sources: |
1256 | // - no charge sharing between pad rows is considered (sharp cross) |
1257 | // - missing cluster at row cross (noise peak-up, under-threshold signal etc.). |
1258 | // |
1259 | // 2. charge fit over the crossing point : Here the full energy deposit along the tracklet is considered |
1260 | // to estimate the position of the crossing by a fit in the qx plane. The errors in the q directions are |
1261 | // parameterized as s_q = q^2. The systematic errors for this estimation are generated by the following sources: |
1262 | // - no general model for the qx dependence |
1263 | // - physical fluctuations of the charge deposit |
1264 | // - gain calibration dependence |
1265 | // |
1266 | // Estimation of the radial position of the tracklet |
16cca13f |
1267 | // |
1fd9389f |
1268 | // For pad row cross the radial position is taken from the xz fit (see above). Otherwise it is taken as the |
1269 | // interpolation point of the tracklet i.e. the point where the error in y of the fit is minimum. The error |
1270 | // in the y direction of the tracklet is (see AliTRDseedV1::GetCovAt()): |
1271 | // BEGIN_LATEX |
1272 | // #sigma_{y} = #sigma^{2}_{y_{0}} + 2xcov(y_{0}, dy/dx) + #sigma^{2}_{dy/dx} |
1273 | // END_LATEX |
1274 | // and thus the radial position is: |
1275 | // BEGIN_LATEX |
1276 | // x = - cov(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} |
1277 | // END_LATEX |
1278 | // |
1279 | // Estimation of tracklet position error |
1280 | // |
1281 | // The error in y direction is the error of the linear fit at the radial position of the tracklet while in the z |
1282 | // direction is given by the cluster error or pad row cross error. In case of no pad row cross this is given by: |
1283 | // BEGIN_LATEX |
1284 | // #sigma_{y} = #sigma^{2}_{y_{0}} - 2cov^{2}(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} + #sigma^{2}_{dy/dx} |
1285 | // #sigma_{z} = Pad_{length}/12 |
1286 | // END_LATEX |
1287 | // For pad row cross the full error is calculated at the radial position of the crossing (see above) and the error |
1288 | // in z by the width of the crossing region - being a matter of parameterization. |
1289 | // BEGIN_LATEX |
1290 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 |
1291 | // END_LATEX |
1292 | // In case of no tilt correction (default in the barrel tracking) the tilt is taken into account by the rotation of |
1293 | // the covariance matrix. See AliTRDseedV1::GetCovAt() for details. |
1294 | // |
1295 | // Author |
1296 | // A.Bercuci <A.Bercuci@gsi.de> |
e4f2f73d |
1297 | |
a723055f |
1298 | if(!fkReconstructor){ |
1299 | AliError("The tracklet needs the reconstruction setup. Please initialize by SetReconstructor()."); |
1300 | return kFALSE; |
1301 | } |
b72f4eaf |
1302 | if(!IsCalibrated()) Calibrate(); |
e3cf3d02 |
1303 | |
29b87567 |
1304 | const Int_t kClmin = 8; |
010d62b0 |
1305 | |
2f7d6ac8 |
1306 | // get track direction |
1307 | Double_t y0 = fYref[0]; |
1308 | Double_t dydx = fYref[1]; |
1309 | Double_t z0 = fZref[0]; |
1310 | Double_t dzdx = fZref[1]; |
1311 | Double_t yt, zt; |
ae4e8b84 |
1312 | |
5f1ae1e7 |
1313 | AliTRDtrackerV1::AliTRDLeastSquare fitterY; |
1314 | AliTRDtrackerV1::AliTRDLeastSquare fitterZ; |
f301a656 |
1315 | |
29b87567 |
1316 | // book cluster information |
8d2bec9e |
1317 | Double_t qc[kNclusters], xc[kNclusters], yc[kNclusters], zc[kNclusters], sy[kNclusters]; |
e3cf3d02 |
1318 | |
dd8059a8 |
1319 | Int_t n = 0; |
4d6aee34 |
1320 | AliTRDcluster *c=NULL, **jc = &fClusters[0]; |
fc0882f3 |
1321 | const AliTRDrecoParam* const recoParam = fkReconstructor->GetRecoParam(); //the dynamic cast in GetRecoParam is slow, so caching the pointer to it |
9eb2d46c |
1322 | for (Int_t ic=0; ic<kNtb; ic++, ++jc) { |
29b87567 |
1323 | xc[ic] = -1.; |
1324 | yc[ic] = 999.; |
1325 | zc[ic] = 999.; |
1326 | sy[ic] = 0.; |
9eb2d46c |
1327 | if(!(c = (*jc))) continue; |
29b87567 |
1328 | if(!c->IsInChamber()) continue; |
9462866a |
1329 | |
29b87567 |
1330 | Float_t w = 1.; |
1331 | if(c->GetNPads()>4) w = .5; |
1332 | if(c->GetNPads()>5) w = .2; |
010d62b0 |
1333 | |
1fd9389f |
1334 | // cluster charge |
dd8059a8 |
1335 | qc[n] = TMath::Abs(c->GetQ()); |
1fd9389f |
1336 | // pad row of leading |
1337 | |
b72f4eaf |
1338 | // Radial cluster position |
e3cf3d02 |
1339 | //Int_t jc = TMath::Max(fN-3, 0); |
1340 | //xc[fN] = c->GetXloc(fT0, fVD, &qc[jc], &xc[jc]/*, z0 - c->GetX()*dzdx*/); |
b72f4eaf |
1341 | xc[n] = fX0 - c->GetX(); |
1342 | |
1fd9389f |
1343 | // extrapolated track to cluster position |
dd8059a8 |
1344 | yt = y0 - xc[n]*dydx; |
dd8059a8 |
1345 | zt = z0 - xc[n]*dzdx; |
1fd9389f |
1346 | |
1347 | // Recalculate cluster error based on tracking information |
1348 | c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?zt:-1., dydx); |
c79857d5 |
1349 | c->SetSigmaZ2(fPad[0]*fPad[0]/12.); // for HLT |
1fd9389f |
1350 | sy[n] = TMath::Sqrt(c->GetSigmaY2()); |
1351 | |
fc0882f3 |
1352 | yc[n] = recoParam->UseGAUS() ? |
1fd9389f |
1353 | c->GetYloc(y0, sy[n], GetPadWidth()): c->GetY(); |
1354 | zc[n] = c->GetZ(); |
1355 | //optional tilt correction |
1356 | if(tilt) yc[n] -= (GetTilt()*(zc[n] - zt)); |
1357 | |
fbe11be7 |
1358 | AliDebug(5, Form(" tb[%2d] dx[%6.3f] y[%6.2f+-%6.3f]", c->GetLocalTimeBin(), xc[n], yc[n], sy[n])); |
903326c1 |
1359 | fitterY.AddPoint(&xc[n], yc[n], sy[n]); |
0217fcd0 |
1360 | if(IsRowCross()) fitterZ.AddPoint(&xc[n], qc[n], 1.); |
dd8059a8 |
1361 | n++; |
29b87567 |
1362 | } |
3044dfe5 |
1363 | |
47d5d320 |
1364 | // to few clusters |
c79857d5 |
1365 | if (n < kClmin){ |
1366 | SetErrorMsg(kFitFailed); |
1367 | return kFALSE; |
1368 | } |
2f7d6ac8 |
1369 | |
d937ad7a |
1370 | // fit XY |
903326c1 |
1371 | if(!fitterY.Eval()){ |
1372 | SetErrorMsg(kFitFailed); |
1373 | return kFALSE; |
1374 | } |
5f1ae1e7 |
1375 | fYfit[0] = fitterY.GetFunctionParameter(0); |
1376 | fYfit[1] = -fitterY.GetFunctionParameter(1); |
d937ad7a |
1377 | // store covariance |
5f1ae1e7 |
1378 | Double_t p[3]; |
1379 | fitterY.GetCovarianceMatrix(p); |
903326c1 |
1380 | fCov[0] = p[1]; // variance of y0 |
5f1ae1e7 |
1381 | fCov[1] = p[2]; // covariance of y0, dydx |
903326c1 |
1382 | fCov[2] = p[0]; // variance of dydx |
b1957d3c |
1383 | // the ref radial position is set at the minimum of |
1384 | // the y variance of the tracklet |
b72f4eaf |
1385 | fX = -fCov[1]/fCov[2]; |
903326c1 |
1386 | Float_t xs=fX+.5*AliTRDgeometry::CamHght(); |
1387 | if(xs < 0. || xs > AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght()){ |
1388 | AliDebug(1, Form("Ref radial position ouside chamber x[%5.2f].", fX)); |
1389 | SetErrorMsg(kFitOutside); |
1390 | return kFALSE; |
1391 | } |
b1957d3c |
1392 | |
0217fcd0 |
1393 | // collect second row clusters |
1394 | Int_t m(0); |
b72f4eaf |
1395 | if(IsRowCross()){ |
e355f67a |
1396 | /* // THE LEADING CLUSTER METHOD |
1fd9389f |
1397 | Float_t xMin = fX0; |
b72f4eaf |
1398 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
1fd9389f |
1399 | AliTRDcluster *c0 =0x0, **kc = &fClusters[kNtb-1]; |
1400 | for(; ic>kNtb; ic--, --jc, --kc){ |
1401 | if((c0 = (*kc)) && c0->IsInChamber() && (xMin>c0->GetX())) xMin = c0->GetX(); |
1402 | if(!(c = (*jc))) continue; |
1403 | if(!c->IsInChamber()) continue; |
1404 | zc[kNclusters-1] = c->GetZ(); |
1405 | fX = fX0 - c->GetX(); |
1406 | } |
1407 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; |
1408 | // Error parameterization |
1409 | fS2Z = fdX*fZref[1]; |
e355f67a |
1410 | fS2Z *= fS2Z; fS2Z *= 0.2887; // 1/sqrt(12)*/ |
1411 | |
1fd9389f |
1412 | // THE FIT X-Q PLANE METHOD |
e355f67a |
1413 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
b72f4eaf |
1414 | for(; ic>kNtb; ic--, --jc){ |
1415 | if(!(c = (*jc))) continue; |
1416 | if(!c->IsInChamber()) continue; |
1417 | qc[n] = TMath::Abs(c->GetQ()); |
1418 | xc[n] = fX0 - c->GetX(); |
1419 | zc[n] = c->GetZ(); |
c79857d5 |
1420 | // Recalculate cluster error based on tracking information |
1421 | c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?(z0 - xc[n]*dzdx):-1., dydx); |
1422 | c->SetSigmaZ2(fPad[0]*fPad[0]/12.); // for HLT |
b72f4eaf |
1423 | fitterZ.AddPoint(&xc[n], -qc[n], 1.); |
0217fcd0 |
1424 | n--;m++; |
b72f4eaf |
1425 | } |
0217fcd0 |
1426 | } |
1427 | // fit XZ |
1428 | if(m && IsRowCross()){ |
b72f4eaf |
1429 | fitterZ.Eval(); |
5f1ae1e7 |
1430 | if(fitterZ.GetFunctionParameter(1)!=0.){ |
1431 | fX = -fitterZ.GetFunctionParameter(0)/fitterZ.GetFunctionParameter(1); |
b72f4eaf |
1432 | fX=(fX<0.)?0.:fX; |
1433 | Float_t dl = .5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght(); |
1434 | fX=(fX> dl)?dl:fX; |
07bbc13c |
1435 | fX-=.055; // TODO to be understood |
b72f4eaf |
1436 | } |
1437 | |
1438 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; |
c850c351 |
1439 | // temporary external error parameterization |
1440 | fS2Z = 0.05+0.4*TMath::Abs(fZref[1]); fS2Z *= fS2Z; |
1441 | // TODO correct formula |
1442 | //fS2Z = sigma_x*TMath::Abs(fZref[1]); |
b1957d3c |
1443 | } else { |
0217fcd0 |
1444 | if(IsRowCross() && !m){ |
1445 | AliDebug(1, "Tracklet crossed row but no clusters found in neighbor row."); |
1446 | } |
b1957d3c |
1447 | fZfit[0] = zc[0]; fZfit[1] = 0.; |
dd8059a8 |
1448 | fS2Z = GetPadLength()*GetPadLength()/12.; |
29b87567 |
1449 | } |
b72f4eaf |
1450 | fS2Y = fCov[0] +2.*fX*fCov[1] + fX*fX*fCov[2]; |
29b87567 |
1451 | return kTRUE; |
e4f2f73d |
1452 | } |
1453 | |
e4f2f73d |
1454 | |
f29f13a6 |
1455 | /* |
e3cf3d02 |
1456 | //_____________________________________________________________________________ |
1457 | void AliTRDseedV1::FitMI() |
1458 | { |
1459 | // |
1460 | // Fit the seed. |
1461 | // Marian Ivanov's version |
1462 | // |
1463 | // linear fit on the y direction with respect to the reference direction. |
1464 | // The residuals for each x (x = xc - x0) are deduced from: |
1465 | // dy = y - yt (1) |
1466 | // the tilting correction is written : |
1467 | // y = yc + h*(zc-zt) (2) |
1468 | // yt = y0+dy/dx*x (3) |
1469 | // zt = z0+dz/dx*x (4) |
1470 | // from (1),(2),(3) and (4) |
1471 | // dy = yc - y0 - (dy/dx + h*dz/dx)*x + h*(zc-z0) |
1472 | // the last term introduces the correction on y direction due to tilting pads. There are 2 ways to account for this: |
1473 | // 1. use tilting correction for calculating the y |
1474 | // 2. neglect tilting correction here and account for it in the error parametrization of the tracklet. |
1475 | const Float_t kRatio = 0.8; |
1476 | const Int_t kClmin = 5; |
1477 | const Float_t kmaxtan = 2; |
1478 | |
1479 | if (TMath::Abs(fYref[1]) > kmaxtan){ |
1480 | //printf("Exit: Abs(fYref[1]) = %3.3f, kmaxtan = %3.3f\n", TMath::Abs(fYref[1]), kmaxtan); |
1481 | return; // Track inclined too much |
1482 | } |
1483 | |
1484 | Float_t sigmaexp = 0.05 + TMath::Abs(fYref[1] * 0.25); // Expected r.m.s in y direction |
dd8059a8 |
1485 | Float_t ycrosscor = GetPadLength() * GetTilt() * 0.5; // Y correction for crossing |
e3cf3d02 |
1486 | Int_t fNChange = 0; |
1487 | |
1488 | Double_t sumw; |
1489 | Double_t sumwx; |
1490 | Double_t sumwx2; |
1491 | Double_t sumwy; |
1492 | Double_t sumwxy; |
1493 | Double_t sumwz; |
1494 | Double_t sumwxz; |
1495 | |
1496 | // Buffering: Leave it constant fot Performance issues |
1497 | Int_t zints[kNtb]; // Histograming of the z coordinate |
1498 | // Get 1 and second max probable coodinates in z |
1499 | Int_t zouts[2*kNtb]; |
1500 | Float_t allowedz[kNtb]; // Allowed z for given time bin |
1501 | Float_t yres[kNtb]; // Residuals from reference |
dd8059a8 |
1502 | //Float_t anglecor = GetTilt() * fZref[1]; // Correction to the angle |
e3cf3d02 |
1503 | |
1504 | Float_t pos[3*kNtb]; memset(pos, 0, 3*kNtb*sizeof(Float_t)); |
1505 | Float_t *fX = &pos[0], *fY = &pos[kNtb], *fZ = &pos[2*kNtb]; |
1506 | |
1507 | Int_t fN = 0; AliTRDcluster *c = 0x0; |
1508 | fN2 = 0; |
1509 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { |
1510 | yres[i] = 10000.0; |
1511 | if (!(c = fClusters[i])) continue; |
1512 | if(!c->IsInChamber()) continue; |
1513 | // Residual y |
dd8059a8 |
1514 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
e3cf3d02 |
1515 | fX[i] = fX0 - c->GetX(); |
1516 | fY[i] = c->GetY(); |
1517 | fZ[i] = c->GetZ(); |
dd8059a8 |
1518 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); |
e3cf3d02 |
1519 | zints[fN] = Int_t(fZ[i]); |
1520 | fN++; |
1521 | } |
1522 | |
1523 | if (fN < kClmin){ |
1524 | //printf("Exit fN < kClmin: fN = %d\n", fN); |
1525 | return; |
1526 | } |
1527 | Int_t nz = AliTRDtrackerV1::Freq(fN, zints, zouts, kFALSE); |
1528 | Float_t fZProb = zouts[0]; |
1529 | if (nz <= 1) zouts[3] = 0; |
1530 | if (zouts[1] + zouts[3] < kClmin) { |
1531 | //printf("Exit zouts[1] = %d, zouts[3] = %d\n",zouts[1],zouts[3]); |
1532 | return; |
1533 | } |
1534 | |
1535 | // Z distance bigger than pad - length |
1536 | if (TMath::Abs(zouts[0]-zouts[2]) > 12.0) zouts[3] = 0; |
1537 | |
1538 | Int_t breaktime = -1; |
1539 | Bool_t mbefore = kFALSE; |
1540 | Int_t cumul[kNtb][2]; |
1541 | Int_t counts[2] = { 0, 0 }; |
1542 | |
1543 | if (zouts[3] >= 3) { |
1544 | |
1545 | // |
1546 | // Find the break time allowing one chage on pad-rows |
1547 | // with maximal number of accepted clusters |
1548 | // |
1549 | fNChange = 1; |
1550 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { |
1551 | cumul[i][0] = counts[0]; |
1552 | cumul[i][1] = counts[1]; |
1553 | if (TMath::Abs(fZ[i]-zouts[0]) < 2) counts[0]++; |
1554 | if (TMath::Abs(fZ[i]-zouts[2]) < 2) counts[1]++; |
1555 | } |
1556 | Int_t maxcount = 0; |
1557 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { |
1558 | Int_t after = cumul[AliTRDtrackerV1::GetNTimeBins()][0] - cumul[i][0]; |
1559 | Int_t before = cumul[i][1]; |
1560 | if (after + before > maxcount) { |
1561 | maxcount = after + before; |
1562 | breaktime = i; |
1563 | mbefore = kFALSE; |
1564 | } |
1565 | after = cumul[AliTRDtrackerV1::GetNTimeBins()-1][1] - cumul[i][1]; |
1566 | before = cumul[i][0]; |
1567 | if (after + before > maxcount) { |
1568 | maxcount = after + before; |
1569 | breaktime = i; |
1570 | mbefore = kTRUE; |
1571 | } |
1572 | } |
1573 | breaktime -= 1; |
1574 | } |
1575 | |
1576 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { |
1577 | if (i > breaktime) allowedz[i] = mbefore ? zouts[2] : zouts[0]; |
1578 | if (i <= breaktime) allowedz[i] = (!mbefore) ? zouts[2] : zouts[0]; |
1579 | } |
1580 | |
1581 | if (((allowedz[0] > allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] < 0)) || |
1582 | ((allowedz[0] < allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] > 0))) { |
1583 | // |
1584 | // Tracklet z-direction not in correspondance with track z direction |
1585 | // |
1586 | fNChange = 0; |
1587 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { |
1588 | allowedz[i] = zouts[0]; // Only longest taken |
1589 | } |
1590 | } |
1591 | |
1592 | if (fNChange > 0) { |
1593 | // |
1594 | // Cross pad -row tracklet - take the step change into account |
1595 | // |
1596 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { |
1597 | if (!fClusters[i]) continue; |
1598 | if(!fClusters[i]->IsInChamber()) continue; |
1599 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; |
1600 | // Residual y |
dd8059a8 |
1601 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
1602 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); |
f29f13a6 |
1603 | // if (TMath::Abs(fZ[i] - fZProb) > 2) { |
dd8059a8 |
1604 | // if (fZ[i] > fZProb) yres[i] += GetTilt() * GetPadLength(); |
1605 | // if (fZ[i] < fZProb) yres[i] -= GetTilt() * GetPadLength(); |
f29f13a6 |
1606 | } |
e3cf3d02 |
1607 | } |
1608 | } |
1609 | |
1610 | Double_t yres2[kNtb]; |
1611 | Double_t mean; |
1612 | Double_t sigma; |
1613 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { |
1614 | if (!fClusters[i]) continue; |
1615 | if(!fClusters[i]->IsInChamber()) continue; |
1616 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; |
1617 | yres2[fN2] = yres[i]; |
1618 | fN2++; |
1619 | } |
1620 | if (fN2 < kClmin) { |
1621 | //printf("Exit fN2 < kClmin: fN2 = %d\n", fN2); |
1622 | fN2 = 0; |
1623 | return; |
1624 | } |
1625 | AliMathBase::EvaluateUni(fN2,yres2,mean,sigma, Int_t(fN2*kRatio-2.)); |
1626 | if (sigma < sigmaexp * 0.8) { |
1627 | sigma = sigmaexp; |
1628 | } |
1629 | //Float_t fSigmaY = sigma; |
1630 | |
1631 | // Reset sums |
1632 | sumw = 0; |
1633 | sumwx = 0; |
1634 | sumwx2 = 0; |
1635 | sumwy = 0; |
1636 | sumwxy = 0; |
1637 | sumwz = 0; |
1638 | sumwxz = 0; |
1639 | |
1640 | fN2 = 0; |
1641 | Float_t fMeanz = 0; |
1642 | Float_t fMPads = 0; |
1643 | fUsable = 0; |
1644 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { |
1645 | if (!fClusters[i]) continue; |
1646 | if (!fClusters[i]->IsInChamber()) continue; |
1647 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2){fClusters[i] = 0x0; continue;} |
1648 | if (TMath::Abs(yres[i] - mean) > 4.0 * sigma){fClusters[i] = 0x0; continue;} |
1649 | SETBIT(fUsable,i); |
1650 | fN2++; |
1651 | fMPads += fClusters[i]->GetNPads(); |
1652 | Float_t weight = 1.0; |
1653 | if (fClusters[i]->GetNPads() > 4) weight = 0.5; |
1654 | if (fClusters[i]->GetNPads() > 5) weight = 0.2; |
1655 | |
1656 | |
1657 | Double_t x = fX[i]; |
1658 | //printf("x = %7.3f dy = %7.3f fit %7.3f\n", x, yres[i], fY[i]-yres[i]); |
1659 | |
1660 | sumw += weight; |
1661 | sumwx += x * weight; |
1662 | sumwx2 += x*x * weight; |
1663 | sumwy += weight * yres[i]; |
1664 | sumwxy += weight * (yres[i]) * x; |
1665 | sumwz += weight * fZ[i]; |
1666 | sumwxz += weight * fZ[i] * x; |
1667 | |
1668 | } |
1669 | |
1670 | if (fN2 < kClmin){ |
1671 | //printf("Exit fN2 < kClmin(2): fN2 = %d\n",fN2); |
1672 | fN2 = 0; |
1673 | return; |
1674 | } |
1675 | fMeanz = sumwz / sumw; |
1676 | Float_t correction = 0; |
1677 | if (fNChange > 0) { |
1678 | // Tracklet on boundary |
1679 | if (fMeanz < fZProb) correction = ycrosscor; |
1680 | if (fMeanz > fZProb) correction = -ycrosscor; |
1681 | } |
1682 | |
1683 | Double_t det = sumw * sumwx2 - sumwx * sumwx; |
1684 | fYfit[0] = (sumwx2 * sumwy - sumwx * sumwxy) / det; |
1685 | fYfit[1] = (sumw * sumwxy - sumwx * sumwy) / det; |
1686 | |
1687 | fS2Y = 0; |
1688 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { |
1689 | if (!TESTBIT(fUsable,i)) continue; |
1690 | Float_t delta = yres[i] - fYfit[0] - fYfit[1] * fX[i]; |
1691 | fS2Y += delta*delta; |
1692 | } |
1693 | fS2Y = TMath::Sqrt(fS2Y / Float_t(fN2-2)); |
1694 | // TEMPORARY UNTIL covariance properly calculated |
1695 | fS2Y = TMath::Max(fS2Y, Float_t(.1)); |
1696 | |
1697 | fZfit[0] = (sumwx2 * sumwz - sumwx * sumwxz) / det; |
1698 | fZfit[1] = (sumw * sumwxz - sumwx * sumwz) / det; |
1699 | // fYfitR[0] += fYref[0] + correction; |
1700 | // fYfitR[1] += fYref[1]; |
1701 | // fYfit[0] = fYfitR[0]; |
1702 | fYfit[1] = -fYfit[1]; |
1703 | |
1704 | UpdateUsed(); |
f29f13a6 |
1705 | }*/ |
e3cf3d02 |
1706 | |
e4f2f73d |
1707 | //___________________________________________________________________ |
203967fc |
1708 | void AliTRDseedV1::Print(Option_t *o) const |
e4f2f73d |
1709 | { |
1710 | // |
1711 | // Printing the seedstatus |
1712 | // |
1713 | |
b72f4eaf |
1714 | AliInfo(Form("Det[%3d] X0[%7.2f] Pad{L[%5.2f] W[%5.2f] Tilt[%+6.2f]}", fDet, fX0, GetPadLength(), GetPadWidth(), GetTilt())); |
dd8059a8 |
1715 | AliInfo(Form("N[%2d] Nused[%2d] Nshared[%2d] [%d]", GetN(), GetNUsed(), GetNShared(), fN)); |
b72f4eaf |
1716 | AliInfo(Form("FLAGS : RC[%c] Kink[%c] SA[%c]", IsRowCross()?'y':'n', IsKink()?'y':'n', IsStandAlone()?'y':'n')); |
525f399b |
1717 | AliInfo(Form("CALIB PARAMS : T0[%5.2f] Vd[%5.2f] s2PRF[%5.2f] ExB[%5.2f] Dl[%5.2f] Dt[%5.2f]", fT0, fVD, fS2PRF, fExB, fDiffL, fDiffT)); |
dd8059a8 |
1718 | |
1719 | Double_t cov[3], x=GetX(); |
1720 | GetCovAt(x, cov); |
1721 | AliInfo(" | x[cm] | y[cm] | z[cm] | dydx | dzdx |"); |
1722 | AliInfo(Form("Fit | %7.2f | %7.2f+-%7.2f | %7.2f+-%7.2f| %5.2f | ----- |", x, GetY(), TMath::Sqrt(cov[0]), GetZ(), TMath::Sqrt(cov[2]), fYfit[1])); |
16cca13f |
1723 | AliInfo(Form("Ref | %7.2f | %7.2f+-%7.2f | %7.2f+-%7.2f| %5.2f | %5.2f |", x, fYref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[0]), fZref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[2]), fYref[1], fZref[1])) |
ee8fb199 |
1724 | AliInfo(Form("P / Pt [GeV/c] = %f / %f", GetMomentum(), fPt)); |
68f9b6bd |
1725 | if(IsStandAlone()) AliInfo(Form("C Rieman / Vertex [1/cm] = %f / %f", fC[0], fC[1])); |
ee8fb199 |
1726 | AliInfo(Form("dEdx [a.u.] = %f / %f / %f / %f / %f/ %f / %f / %f", fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7])); |
1727 | AliInfo(Form("PID = %5.3f / %5.3f / %5.3f / %5.3f / %5.3f", fProb[0], fProb[1], fProb[2], fProb[3], fProb[4])); |
203967fc |
1728 | |
1729 | if(strcmp(o, "a")!=0) return; |
1730 | |
4dc4dc2e |
1731 | AliTRDcluster* const* jc = &fClusters[0]; |
8d2bec9e |
1732 | for(int ic=0; ic<kNclusters; ic++, jc++) { |
4dc4dc2e |
1733 | if(!(*jc)) continue; |
203967fc |
1734 | (*jc)->Print(o); |
4dc4dc2e |
1735 | } |
e4f2f73d |
1736 | } |
47d5d320 |
1737 | |
203967fc |
1738 | |
1739 | //___________________________________________________________________ |
1740 | Bool_t AliTRDseedV1::IsEqual(const TObject *o) const |
1741 | { |
1742 | // Checks if current instance of the class has the same essential members |
1743 | // as the given one |
1744 | |
1745 | if(!o) return kFALSE; |
1746 | const AliTRDseedV1 *inTracklet = dynamic_cast<const AliTRDseedV1*>(o); |
1747 | if(!inTracklet) return kFALSE; |
1748 | |
1749 | for (Int_t i = 0; i < 2; i++){ |
e3cf3d02 |
1750 | if ( fYref[i] != inTracklet->fYref[i] ) return kFALSE; |
1751 | if ( fZref[i] != inTracklet->fZref[i] ) return kFALSE; |
203967fc |
1752 | } |
1753 | |
e3cf3d02 |
1754 | if ( fS2Y != inTracklet->fS2Y ) return kFALSE; |
dd8059a8 |
1755 | if ( GetTilt() != inTracklet->GetTilt() ) return kFALSE; |
1756 | if ( GetPadLength() != inTracklet->GetPadLength() ) return kFALSE; |
203967fc |
1757 | |
8d2bec9e |
1758 | for (Int_t i = 0; i < kNclusters; i++){ |
e3cf3d02 |
1759 | // if ( fX[i] != inTracklet->GetX(i) ) return kFALSE; |
1760 | // if ( fY[i] != inTracklet->GetY(i) ) return kFALSE; |
1761 | // if ( fZ[i] != inTracklet->GetZ(i) ) return kFALSE; |
1762 | if ( fIndexes[i] != inTracklet->fIndexes[i] ) return kFALSE; |
203967fc |
1763 | } |
f29f13a6 |
1764 | // if ( fUsable != inTracklet->fUsable ) return kFALSE; |
203967fc |
1765 | |
1766 | for (Int_t i=0; i < 2; i++){ |
e3cf3d02 |
1767 | if ( fYfit[i] != inTracklet->fYfit[i] ) return kFALSE; |
1768 | if ( fZfit[i] != inTracklet->fZfit[i] ) return kFALSE; |
1769 | if ( fLabels[i] != inTracklet->fLabels[i] ) return kFALSE; |
203967fc |
1770 | } |
1771 | |
e3cf3d02 |
1772 | /* if ( fMeanz != inTracklet->GetMeanz() ) return kFALSE; |
1773 | if ( fZProb != inTracklet->GetZProb() ) return kFALSE;*/ |
3e778975 |
1774 | if ( fN != inTracklet->fN ) return kFALSE; |
1775 | //if ( fNUsed != inTracklet->fNUsed ) return kFALSE; |
e3cf3d02 |
1776 | //if ( fFreq != inTracklet->GetFreq() ) return kFALSE; |
1777 | //if ( fNChange != inTracklet->GetNChange() ) return kFALSE; |
203967fc |
1778 | |
e3cf3d02 |
1779 | if ( fC != inTracklet->fC ) return kFALSE; |
1780 | //if ( fCC != inTracklet->GetCC() ) return kFALSE; |
1781 | if ( fChi2 != inTracklet->fChi2 ) return kFALSE; |
203967fc |
1782 | // if ( fChi2Z != inTracklet->GetChi2Z() ) return kFALSE; |
1783 | |
e3cf3d02 |
1784 | if ( fDet != inTracklet->fDet ) return kFALSE; |
b25a5e9e |
1785 | if ( fPt != inTracklet->fPt ) return kFALSE; |
e3cf3d02 |
1786 | if ( fdX != inTracklet->fdX ) return kFALSE; |
203967fc |
1787 | |
8d2bec9e |
1788 | for (Int_t iCluster = 0; iCluster < kNclusters; iCluster++){ |
203967fc |
1789 | AliTRDcluster *curCluster = fClusters[iCluster]; |
e3cf3d02 |
1790 | AliTRDcluster *inCluster = inTracklet->fClusters[iCluster]; |
203967fc |
1791 | if (curCluster && inCluster){ |
1792 | if (! curCluster->IsEqual(inCluster) ) { |
1793 | curCluster->Print(); |
1794 | inCluster->Print(); |
1795 | return kFALSE; |
1796 | } |
1797 | } else { |
1798 | // if one cluster exists, and corresponding |
1799 | // in other tracklet doesn't - return kFALSE |
1800 | if(curCluster || inCluster) return kFALSE; |
1801 | } |
1802 | } |
1803 | return kTRUE; |
1804 | } |
5d401b45 |
1805 | |