]>
Commit | Line | Data |
---|---|---|
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" | |
39 | #include "TLinearFitter.h" | |
eb38ed55 | 40 | #include "TClonesArray.h" // tmp |
41 | #include <TTreeStream.h> | |
e4f2f73d | 42 | |
43 | #include "AliLog.h" | |
44 | #include "AliMathBase.h" | |
d937ad7a | 45 | #include "AliCDBManager.h" |
46 | #include "AliTracker.h" | |
e4f2f73d | 47 | |
03cef9b2 | 48 | #include "AliTRDpadPlane.h" |
e4f2f73d | 49 | #include "AliTRDcluster.h" |
f3d3af1b | 50 | #include "AliTRDseedV1.h" |
51 | #include "AliTRDtrackV1.h" | |
e4f2f73d | 52 | #include "AliTRDcalibDB.h" |
eb38ed55 | 53 | #include "AliTRDchamberTimeBin.h" |
54 | #include "AliTRDtrackingChamber.h" | |
55 | #include "AliTRDtrackerV1.h" | |
56 | #include "AliTRDReconstructor.h" | |
e4f2f73d | 57 | #include "AliTRDrecoParam.h" |
a076fc2f | 58 | #include "AliTRDCommonParam.h" |
d937ad7a | 59 | |
0906e73e | 60 | #include "Cal/AliTRDCalPID.h" |
d937ad7a | 61 | #include "Cal/AliTRDCalROC.h" |
62 | #include "Cal/AliTRDCalDet.h" | |
e4f2f73d | 63 | |
e4f2f73d | 64 | ClassImp(AliTRDseedV1) |
65 | ||
66 | //____________________________________________________________________ | |
ae4e8b84 | 67 | AliTRDseedV1::AliTRDseedV1(Int_t det) |
3e778975 | 68 | :AliTRDtrackletBase() |
3a039a31 | 69 | ,fReconstructor(0x0) |
ae4e8b84 | 70 | ,fClusterIter(0x0) |
e3cf3d02 | 71 | ,fExB(0.) |
72 | ,fVD(0.) | |
73 | ,fT0(0.) | |
74 | ,fS2PRF(0.) | |
75 | ,fDiffL(0.) | |
76 | ,fDiffT(0.) | |
ae4e8b84 | 77 | ,fClusterIdx(0) |
3e778975 | 78 | ,fN(0) |
ae4e8b84 | 79 | ,fDet(det) |
b25a5e9e | 80 | ,fPt(0.) |
bcb6fb78 | 81 | ,fdX(0.) |
e3cf3d02 | 82 | ,fX0(0.) |
83 | ,fX(0.) | |
84 | ,fY(0.) | |
85 | ,fZ(0.) | |
86 | ,fS2Y(0.) | |
87 | ,fS2Z(0.) | |
88 | ,fC(0.) | |
89 | ,fChi2(0.) | |
e4f2f73d | 90 | { |
91 | // | |
92 | // Constructor | |
93 | // | |
8d2bec9e | 94 | for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1; |
95 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); | |
dd8059a8 | 96 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 | 97 | fYref[0] = 0.; fYref[1] = 0.; |
98 | fZref[0] = 0.; fZref[1] = 0.; | |
99 | fYfit[0] = 0.; fYfit[1] = 0.; | |
100 | fZfit[0] = 0.; fZfit[1] = 0.; | |
8d2bec9e | 101 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
29b87567 | 102 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
e3cf3d02 | 103 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels |
104 | fLabels[2]=0; // number of different labels for tracklet | |
16cca13f | 105 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
d937ad7a | 106 | // covariance matrix [diagonal] |
107 | // default sy = 200um and sz = 2.3 cm | |
108 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; | |
f29f13a6 | 109 | SetStandAlone(kFALSE); |
e4f2f73d | 110 | } |
111 | ||
112 | //____________________________________________________________________ | |
0906e73e | 113 | AliTRDseedV1::AliTRDseedV1(const AliTRDseedV1 &ref) |
3e778975 | 114 | :AliTRDtrackletBase((AliTRDtrackletBase&)ref) |
e3cf3d02 | 115 | ,fReconstructor(0x0) |
ae4e8b84 | 116 | ,fClusterIter(0x0) |
e3cf3d02 | 117 | ,fExB(0.) |
118 | ,fVD(0.) | |
119 | ,fT0(0.) | |
120 | ,fS2PRF(0.) | |
121 | ,fDiffL(0.) | |
122 | ,fDiffT(0.) | |
ae4e8b84 | 123 | ,fClusterIdx(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.) | |
134 | ,fC(0.) | |
135 | ,fChi2(0.) | |
e4f2f73d | 136 | { |
137 | // | |
138 | // Copy Constructor performing a deep copy | |
139 | // | |
e3cf3d02 | 140 | if(this != &ref){ |
141 | ref.Copy(*this); | |
142 | } | |
29b87567 | 143 | SetBit(kOwner, kFALSE); |
f29f13a6 | 144 | SetStandAlone(ref.IsStandAlone()); |
fbb2ea06 | 145 | } |
d9950a5a | 146 | |
0906e73e | 147 | |
e4f2f73d | 148 | //____________________________________________________________________ |
149 | AliTRDseedV1& AliTRDseedV1::operator=(const AliTRDseedV1 &ref) | |
150 | { | |
151 | // | |
152 | // Assignment Operator using the copy function | |
153 | // | |
154 | ||
29b87567 | 155 | if(this != &ref){ |
156 | ref.Copy(*this); | |
157 | } | |
221ab7e0 | 158 | SetBit(kOwner, kFALSE); |
159 | ||
29b87567 | 160 | return *this; |
e4f2f73d | 161 | } |
162 | ||
163 | //____________________________________________________________________ | |
164 | AliTRDseedV1::~AliTRDseedV1() | |
165 | { | |
166 | // | |
167 | // Destructor. The RecoParam object belongs to the underlying tracker. | |
168 | // | |
169 | ||
29b87567 | 170 | //printf("I-AliTRDseedV1::~AliTRDseedV1() : Owner[%s]\n", IsOwner()?"YES":"NO"); |
e4f2f73d | 171 | |
e3cf3d02 | 172 | if(IsOwner()) { |
8d2bec9e | 173 | for(int itb=0; itb<kNclusters; itb++){ |
29b87567 | 174 | if(!fClusters[itb]) continue; |
175 | //AliInfo(Form("deleting c %p @ %d", fClusters[itb], itb)); | |
176 | delete fClusters[itb]; | |
177 | fClusters[itb] = 0x0; | |
178 | } | |
e3cf3d02 | 179 | } |
e4f2f73d | 180 | } |
181 | ||
182 | //____________________________________________________________________ | |
183 | void AliTRDseedV1::Copy(TObject &ref) const | |
184 | { | |
185 | // | |
186 | // Copy function | |
187 | // | |
188 | ||
29b87567 | 189 | //AliInfo(""); |
190 | AliTRDseedV1 &target = (AliTRDseedV1 &)ref; | |
191 | ||
e3cf3d02 | 192 | target.fReconstructor = fReconstructor; |
ae4e8b84 | 193 | target.fClusterIter = 0x0; |
e3cf3d02 | 194 | target.fExB = fExB; |
195 | target.fVD = fVD; | |
196 | target.fT0 = fT0; | |
197 | target.fS2PRF = fS2PRF; | |
198 | target.fDiffL = fDiffL; | |
199 | target.fDiffT = fDiffT; | |
ae4e8b84 | 200 | target.fClusterIdx = 0; |
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; | |
211 | target.fC = fC; | |
212 | target.fChi2 = fChi2; | |
29b87567 | 213 | |
8d2bec9e | 214 | memcpy(target.fIndexes, fIndexes, kNclusters*sizeof(Int_t)); |
215 | memcpy(target.fClusters, fClusters, kNclusters*sizeof(AliTRDcluster*)); | |
dd8059a8 | 216 | memcpy(target.fPad, fPad, 3*sizeof(Float_t)); |
e3cf3d02 | 217 | target.fYref[0] = fYref[0]; target.fYref[1] = fYref[1]; |
218 | target.fZref[0] = fZref[0]; target.fZref[1] = fZref[1]; | |
219 | target.fYfit[0] = fYfit[0]; target.fYfit[1] = fYfit[1]; | |
220 | target.fZfit[0] = fZfit[0]; target.fZfit[1] = fZfit[1]; | |
8d2bec9e | 221 | memcpy(target.fdEdx, fdEdx, kNslices*sizeof(Float_t)); |
e3cf3d02 | 222 | memcpy(target.fProb, fProb, AliPID::kSPECIES*sizeof(Float_t)); |
223 | memcpy(target.fLabels, fLabels, 3*sizeof(Int_t)); | |
16cca13f | 224 | memcpy(target.fRefCov, fRefCov, 7*sizeof(Double_t)); |
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 | //_____________________________________________________________________________ |
256 | void AliTRDseedV1::Reset() | |
257 | { | |
258 | // | |
259 | // Reset seed | |
260 | // | |
261 | fExB=0.;fVD=0.;fT0=0.;fS2PRF=0.; | |
262 | fDiffL=0.;fDiffT=0.; | |
3e778975 | 263 | fClusterIdx=0; |
264 | fN=0; | |
dd8059a8 | 265 | fDet=-1; |
b25a5e9e | 266 | fPt=0.; |
e3cf3d02 | 267 | fdX=0.;fX0=0.; fX=0.; fY=0.; fZ=0.; |
268 | fS2Y=0.; fS2Z=0.; | |
269 | fC=0.; fChi2 = 0.; | |
270 | ||
8d2bec9e | 271 | for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1; |
272 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); | |
dd8059a8 | 273 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 | 274 | fYref[0] = 0.; fYref[1] = 0.; |
275 | fZref[0] = 0.; fZref[1] = 0.; | |
276 | fYfit[0] = 0.; fYfit[1] = 0.; | |
277 | fZfit[0] = 0.; fZfit[1] = 0.; | |
8d2bec9e | 278 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
e3cf3d02 | 279 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
280 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels | |
281 | fLabels[2]=0; // number of different labels for tracklet | |
16cca13f | 282 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
e3cf3d02 | 283 | // covariance matrix [diagonal] |
284 | // default sy = 200um and sz = 2.3 cm | |
285 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; | |
286 | } | |
287 | ||
b1957d3c | 288 | //____________________________________________________________________ |
16cca13f | 289 | void AliTRDseedV1::Update(const AliTRDtrackV1 *trk) |
b1957d3c | 290 | { |
291 | // update tracklet reference position from the TRD track | |
b1957d3c | 292 | |
e3cf3d02 | 293 | Double_t fSnp = trk->GetSnp(); |
294 | Double_t fTgl = trk->GetTgl(); | |
b25a5e9e | 295 | fPt = trk->Pt(); |
1fd9389f | 296 | Double_t norm =1./TMath::Sqrt(1. - fSnp*fSnp); |
297 | fYref[1] = fSnp*norm; | |
298 | fZref[1] = fTgl*norm; | |
b1957d3c | 299 | SetCovRef(trk->GetCovariance()); |
300 | ||
301 | Double_t dx = trk->GetX() - fX0; | |
302 | fYref[0] = trk->GetY() - dx*fYref[1]; | |
303 | fZref[0] = trk->GetZ() - dx*fZref[1]; | |
304 | } | |
305 | ||
e3cf3d02 | 306 | //_____________________________________________________________________________ |
307 | void AliTRDseedV1::UpdateUsed() | |
308 | { | |
309 | // | |
f29f13a6 | 310 | // Calculate number of used clusers in the tracklet |
e3cf3d02 | 311 | // |
312 | ||
3e778975 | 313 | Int_t nused = 0, nshared = 0; |
8d2bec9e | 314 | for (Int_t i = kNclusters; i--; ) { |
e3cf3d02 | 315 | if (!fClusters[i]) continue; |
3e778975 | 316 | if(fClusters[i]->IsUsed()){ |
317 | nused++; | |
318 | } else if(fClusters[i]->IsShared()){ | |
319 | if(IsStandAlone()) nused++; | |
320 | else nshared++; | |
321 | } | |
e3cf3d02 | 322 | } |
3e778975 | 323 | SetNUsed(nused); |
324 | SetNShared(nshared); | |
e3cf3d02 | 325 | } |
326 | ||
327 | //_____________________________________________________________________________ | |
328 | void AliTRDseedV1::UseClusters() | |
329 | { | |
330 | // | |
331 | // Use clusters | |
332 | // | |
f29f13a6 | 333 | // In stand alone mode: |
334 | // Clusters which are marked as used or shared from another track are | |
335 | // removed from the tracklet | |
336 | // | |
337 | // In barrel mode: | |
338 | // - Clusters which are used by another track become shared | |
339 | // - Clusters which are attached to a kink track become shared | |
340 | // | |
e3cf3d02 | 341 | AliTRDcluster **c = &fClusters[0]; |
8d2bec9e | 342 | for (Int_t ic=kNclusters; ic--; c++) { |
e3cf3d02 | 343 | if(!(*c)) continue; |
f29f13a6 | 344 | if(IsStandAlone()){ |
345 | if((*c)->IsShared() || (*c)->IsUsed()){ | |
b82b4de1 | 346 | if((*c)->IsShared()) SetNShared(GetNShared()-1); |
347 | else SetNUsed(GetNUsed()-1); | |
3e778975 | 348 | (*c) = 0x0; |
f29f13a6 | 349 | fIndexes[ic] = -1; |
3e778975 | 350 | SetN(GetN()-1); |
3e778975 | 351 | continue; |
f29f13a6 | 352 | } |
3e778975 | 353 | } else { |
f29f13a6 | 354 | if((*c)->IsUsed() || IsKink()){ |
3e778975 | 355 | (*c)->SetShared(); |
356 | continue; | |
f29f13a6 | 357 | } |
358 | } | |
359 | (*c)->Use(); | |
e3cf3d02 | 360 | } |
361 | } | |
362 | ||
363 | ||
f29f13a6 | 364 | |
bcb6fb78 | 365 | //____________________________________________________________________ |
366 | void AliTRDseedV1::CookdEdx(Int_t nslices) | |
367 | { | |
368 | // Calculates average dE/dx for all slices and store them in the internal array fdEdx. | |
369 | // | |
370 | // Parameters: | |
371 | // nslices : number of slices for which dE/dx should be calculated | |
372 | // Output: | |
373 | // store results in the internal array fdEdx. This can be accessed with the method | |
374 | // AliTRDseedV1::GetdEdx() | |
375 | // | |
376 | // Detailed description | |
377 | // Calculates average dE/dx for all slices. Depending on the PID methode | |
378 | // the number of slices can be 3 (LQ) or 8(NN). | |
3ee48d6e | 379 | // The calculation of dQ/dl are done using the tracklet fit results (see AliTRDseedV1::GetdQdl(Int_t)) |
bcb6fb78 | 380 | // |
381 | // The following effects are included in the calculation: | |
382 | // 1. calibration values for t0 and vdrift (using x coordinate to calculate slice) | |
383 | // 2. cluster sharing (optional see AliTRDrecoParam::SetClusterSharing()) | |
384 | // 3. cluster size | |
385 | // | |
386 | ||
8d2bec9e | 387 | Int_t nclusters[kNslices]; |
388 | memset(nclusters, 0, kNslices*sizeof(Int_t)); | |
389 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); | |
e3cf3d02 | 390 | |
e73abf77 | 391 | const Double_t kDriftLength = (.5 * AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
29b87567 | 392 | |
3ee48d6e | 393 | AliTRDcluster *c = 0x0; |
29b87567 | 394 | for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){ |
8e709c82 | 395 | if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue; |
e73abf77 | 396 | Float_t dx = TMath::Abs(fX0 - c->GetX()); |
29b87567 | 397 | |
398 | // Filter clusters for dE/dx calculation | |
399 | ||
400 | // 1.consider calibration effects for slice determination | |
e73abf77 | 401 | Int_t slice; |
402 | if(dx<kDriftLength){ // TODO should be replaced by c->IsInChamber() | |
403 | slice = Int_t(dx * nslices / kDriftLength); | |
404 | } else slice = c->GetX() < fX0 ? nslices-1 : 0; | |
405 | ||
406 | ||
29b87567 | 407 | // 2. take sharing into account |
3e778975 | 408 | Float_t w = /*c->IsShared() ? .5 :*/ 1.; |
29b87567 | 409 | |
410 | // 3. take into account large clusters TODO | |
411 | //w *= c->GetNPads() > 3 ? .8 : 1.; | |
412 | ||
413 | //CHECK !!! | |
414 | fdEdx[slice] += w * GetdQdl(ic); //fdQdl[ic]; | |
415 | nclusters[slice]++; | |
416 | } // End of loop over clusters | |
417 | ||
cd40b287 | 418 | //if(fReconstructor->GetPIDMethod() == AliTRDReconstructor::kLQPID){ |
0d83b3a5 | 419 | if(nslices == AliTRDpidUtil::kLQslices){ |
29b87567 | 420 | // calculate mean charge per slice (only LQ PID) |
421 | for(int is=0; is<nslices; is++){ | |
422 | if(nclusters[is]) fdEdx[is] /= nclusters[is]; | |
423 | } | |
424 | } | |
bcb6fb78 | 425 | } |
426 | ||
e3cf3d02 | 427 | //_____________________________________________________________________________ |
428 | void AliTRDseedV1::CookLabels() | |
429 | { | |
430 | // | |
431 | // Cook 2 labels for seed | |
432 | // | |
433 | ||
434 | Int_t labels[200]; | |
435 | Int_t out[200]; | |
436 | Int_t nlab = 0; | |
8d2bec9e | 437 | for (Int_t i = 0; i < kNclusters; i++) { |
e3cf3d02 | 438 | if (!fClusters[i]) continue; |
439 | for (Int_t ilab = 0; ilab < 3; ilab++) { | |
440 | if (fClusters[i]->GetLabel(ilab) >= 0) { | |
441 | labels[nlab] = fClusters[i]->GetLabel(ilab); | |
442 | nlab++; | |
443 | } | |
444 | } | |
445 | } | |
446 | ||
fac58f00 | 447 | fLabels[2] = AliMathBase::Freq(nlab,labels,out,kTRUE); |
e3cf3d02 | 448 | fLabels[0] = out[0]; |
449 | if ((fLabels[2] > 1) && (out[3] > 1)) fLabels[1] = out[2]; | |
450 | } | |
451 | ||
452 | ||
bcb6fb78 | 453 | //____________________________________________________________________ |
0b433f72 | 454 | Float_t AliTRDseedV1::GetdQdl(Int_t ic, Float_t *dl) const |
bcb6fb78 | 455 | { |
3ee48d6e | 456 | // Using the linear approximation of the track inside one TRD chamber (TRD tracklet) |
457 | // the charge per unit length can be written as: | |
458 | // BEGIN_LATEX | |
500851ab | 459 | // #frac{dq}{dl} = #frac{q_{c}}{dx * #sqrt{1 + #(){#frac{dy}{dx}}^{2}_{fit} + #(){#frac{dz}{dx}}^{2}_{ref}}} |
3ee48d6e | 460 | // END_LATEX |
461 | // where qc is the total charge collected in the current time bin and dx is the length | |
0b433f72 | 462 | // of the time bin. |
463 | // The following correction are applied : | |
464 | // - charge : pad row cross corrections | |
465 | // [diffusion and TRF assymetry] TODO | |
466 | // - dx : anisochronity, track inclination - see Fit and AliTRDcluster::GetXloc() | |
467 | // and AliTRDcluster::GetYloc() for the effects taken into account | |
3ee48d6e | 468 | // |
0fa1a8ee | 469 | //Begin_Html |
470 | //<img src="TRD/trackletDQDT.gif"> | |
471 | //End_Html | |
472 | // In the picture the energy loss measured on the tracklet as a function of drift time [left] and respectively | |
473 | // drift length [right] for different particle species is displayed. | |
3ee48d6e | 474 | // Author : Alex Bercuci <A.Bercuci@gsi.de> |
475 | // | |
476 | Float_t dq = 0.; | |
5d401b45 | 477 | // check whether both clusters are inside the chamber |
478 | Bool_t hasClusterInChamber = kFALSE; | |
479 | if(fClusters[ic] && fClusters[ic]->IsInChamber()){ | |
480 | hasClusterInChamber = kTRUE; | |
1742f24c | 481 | dq += TMath::Abs(fClusters[ic]->GetQ()); |
5d401b45 | 482 | }else if(fClusters[ic+kNtb] && fClusters[ic+kNtb]->IsInChamber()){ |
483 | hasClusterInChamber = kTRUE; | |
484 | dq += TMath::Abs(fClusters[ic+kNtb]->GetQ()); | |
1742f24c | 485 | } |
5d401b45 | 486 | if(!hasClusterInChamber) return 0.; |
0b433f72 | 487 | if(dq<1.e-3) return 0.; |
3ee48d6e | 488 | |
a2abcbc5 | 489 | Double_t dx = fdX; |
490 | if(ic-1>=0 && ic+1<kNtb){ | |
491 | Float_t x2(0.), x1(0.); | |
5d401b45 | 492 | // try to estimate upper radial position (find the cluster which is inside the chamber) |
493 | if(fClusters[ic-1] && fClusters[ic-1]->IsInChamber()) x2 = fClusters[ic-1]->GetX(); | |
494 | else if(fClusters[ic-1+kNtb] && fClusters[ic-1+kNtb]->IsInChamber()) x2 = fClusters[ic-1+kNtb]->GetX(); | |
495 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x2 = fClusters[ic]->GetX()+fdX; | |
a2abcbc5 | 496 | else x2 = fClusters[ic+kNtb]->GetX()+fdX; |
5d401b45 | 497 | // try to estimate lower radial position (find the cluster which is inside the chamber) |
498 | if(fClusters[ic+1] && fClusters[ic+1]->IsInChamber()) x1 = fClusters[ic+1]->GetX(); | |
499 | else if(fClusters[ic+1+kNtb] && fClusters[ic+1+kNtb]->IsInChamber()) x1 = fClusters[ic+1+kNtb]->GetX(); | |
500 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x1 = fClusters[ic]->GetX()-fdX; | |
a2abcbc5 | 501 | else x1 = fClusters[ic+kNtb]->GetX()-fdX; |
502 | ||
503 | dx = .5*(x2 - x1); | |
504 | } | |
0b433f72 | 505 | dx *= TMath::Sqrt(1. + fYfit[1]*fYfit[1] + fZref[1]*fZref[1]); |
0b433f72 | 506 | if(dl) (*dl) = dx; |
507 | return dq/dx; | |
bcb6fb78 | 508 | } |
509 | ||
0b433f72 | 510 | //____________________________________________________________ |
511 | Float_t AliTRDseedV1::GetMomentum(Float_t *err) const | |
512 | { | |
513 | // Returns momentum of the track after update with the current tracklet as: | |
514 | // BEGIN_LATEX | |
515 | // p=#frac{1}{1/p_{t}} #sqrt{1+tgl^{2}} | |
516 | // END_LATEX | |
517 | // and optionally the momentum error (if err is not null). | |
518 | // The estimated variance of the momentum is given by: | |
519 | // BEGIN_LATEX | |
520 | // #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}) | |
521 | // END_LATEX | |
522 | // which can be simplified to | |
523 | // BEGIN_LATEX | |
524 | // #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} | |
525 | // END_LATEX | |
526 | // | |
527 | ||
528 | Double_t p = fPt*TMath::Sqrt(1.+fZref[1]*fZref[1]); | |
529 | Double_t p2 = p*p; | |
530 | Double_t tgl2 = fZref[1]*fZref[1]; | |
531 | Double_t pt2 = fPt*fPt; | |
532 | if(err){ | |
533 | Double_t s2 = | |
534 | p2*tgl2*pt2*pt2*fRefCov[4] | |
535 | -2.*p2*fZref[1]*fPt*pt2*fRefCov[5] | |
536 | +p2*pt2*fRefCov[6]; | |
537 | (*err) = TMath::Sqrt(s2); | |
538 | } | |
539 | return p; | |
540 | } | |
541 | ||
542 | ||
0906e73e | 543 | //____________________________________________________________________ |
3e778975 | 544 | Float_t* AliTRDseedV1::GetProbability(Bool_t force) |
0906e73e | 545 | { |
3e778975 | 546 | if(!force) return &fProb[0]; |
547 | if(!CookPID()) return 0x0; | |
548 | return &fProb[0]; | |
549 | } | |
550 | ||
551 | //____________________________________________________________ | |
552 | Bool_t AliTRDseedV1::CookPID() | |
553 | { | |
0906e73e | 554 | // Fill probability array for tracklet from the DB. |
555 | // | |
556 | // Parameters | |
557 | // | |
558 | // Output | |
559 | // returns pointer to the probability array and 0x0 if missing DB access | |
560 | // | |
2a3191bb | 561 | // Retrieve PID probabilities for e+-, mu+-, K+-, pi+- and p+- from the DB according to tracklet information: |
562 | // - estimated momentum at tracklet reference point | |
563 | // - dE/dx measurements | |
564 | // - tracklet length | |
565 | // - TRD layer | |
566 | // According to the steering settings specified in the reconstruction one of the following methods are used | |
567 | // - Neural Network [default] - option "nn" | |
568 | // - 2D Likelihood - option "!nn" | |
0906e73e | 569 | |
0906e73e | 570 | AliTRDcalibDB *calibration = AliTRDcalibDB::Instance(); |
571 | if (!calibration) { | |
572 | AliError("No access to calibration data"); | |
3e778975 | 573 | return kFALSE; |
0906e73e | 574 | } |
575 | ||
3a039a31 | 576 | if (!fReconstructor) { |
577 | AliError("Reconstructor not set."); | |
3e778975 | 578 | return kFALSE; |
4ba1d6ae | 579 | } |
580 | ||
0906e73e | 581 | // Retrieve the CDB container class with the parametric detector response |
3a039a31 | 582 | const AliTRDCalPID *pd = calibration->GetPIDObject(fReconstructor->GetPIDMethod()); |
0906e73e | 583 | if (!pd) { |
584 | AliError("No access to AliTRDCalPID object"); | |
3e778975 | 585 | return kFALSE; |
0906e73e | 586 | } |
29b87567 | 587 | //AliInfo(Form("Method[%d] : %s", fReconstructor->GetRecoParam() ->GetPIDMethod(), pd->IsA()->GetName())); |
10f75631 | 588 | |
29b87567 | 589 | // calculate tracklet length TO DO |
0906e73e | 590 | Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
591 | /// TMath::Sqrt((1.0 - fSnp[iPlane]*fSnp[iPlane]) / (1.0 + fTgl[iPlane]*fTgl[iPlane])); | |
592 | ||
593 | //calculate dE/dx | |
3a039a31 | 594 | CookdEdx(fReconstructor->GetNdEdxSlices()); |
0906e73e | 595 | |
596 | // Sets the a priori probabilities | |
597 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) { | |
b25a5e9e | 598 | fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, GetPlane()); |
0906e73e | 599 | } |
600 | ||
3e778975 | 601 | return kTRUE; |
0906e73e | 602 | } |
603 | ||
e4f2f73d | 604 | //____________________________________________________________________ |
605 | Float_t AliTRDseedV1::GetQuality(Bool_t kZcorr) const | |
606 | { | |
607 | // | |
608 | // Returns a quality measurement of the current seed | |
609 | // | |
610 | ||
dd8059a8 | 611 | Float_t zcorr = kZcorr ? GetTilt() * (fZfit[0] - fZref[0]) : 0.; |
29b87567 | 612 | return |
3e778975 | 613 | .5 * TMath::Abs(18.0 - GetN()) |
29b87567 | 614 | + 10.* TMath::Abs(fYfit[1] - fYref[1]) |
615 | + 5. * TMath::Abs(fYfit[0] - fYref[0] + zcorr) | |
dd8059a8 | 616 | + 2. * TMath::Abs(fZfit[0] - fZref[0]) / GetPadLength(); |
e4f2f73d | 617 | } |
618 | ||
0906e73e | 619 | //____________________________________________________________________ |
d937ad7a | 620 | void AliTRDseedV1::GetCovAt(Double_t x, Double_t *cov) const |
0906e73e | 621 | { |
d937ad7a | 622 | // Computes covariance in the y-z plane at radial point x (in tracking coordinates) |
623 | // and returns the results in the preallocated array cov[3] as : | |
624 | // cov[0] = Var(y) | |
625 | // cov[1] = Cov(yz) | |
626 | // cov[2] = Var(z) | |
627 | // | |
628 | // Details | |
629 | // | |
630 | // For the linear transformation | |
631 | // BEGIN_LATEX | |
632 | // Y = T_{x} X^{T} | |
633 | // END_LATEX | |
634 | // The error propagation has the general form | |
635 | // BEGIN_LATEX | |
636 | // C_{Y} = T_{x} C_{X} T_{x}^{T} | |
637 | // END_LATEX | |
638 | // We apply this formula 2 times. First to calculate the covariance of the tracklet | |
639 | // at point x we consider: | |
640 | // BEGIN_LATEX | |
641 | // T_{x} = (1 x); X=(y0 dy/dx); C_{X}=#(){#splitline{Var(y0) Cov(y0, dy/dx)}{Cov(y0, dy/dx) Var(dy/dx)}} | |
642 | // END_LATEX | |
643 | // and secondly to take into account the tilt angle | |
644 | // BEGIN_LATEX | |
645 | // T_{#alpha} = #(){#splitline{cos(#alpha) __ sin(#alpha)}{-sin(#alpha) __ cos(#alpha)}}; X=(y z); C_{X}=#(){#splitline{Var(y) 0}{0 Var(z)}} | |
646 | // END_LATEX | |
647 | // | |
648 | // using simple trigonometrics one can write for this last case | |
649 | // BEGIN_LATEX | |
650 | // 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})}} | |
651 | // END_LATEX | |
652 | // which can be aproximated for small alphas (2 deg) with | |
653 | // BEGIN_LATEX | |
654 | // 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}}} | |
655 | // END_LATEX | |
656 | // | |
657 | // before applying the tilt rotation we also apply systematic uncertainties to the tracklet | |
658 | // position which can be tunned from outside via the AliTRDrecoParam::SetSysCovMatrix(). They might | |
659 | // account for extra misalignment/miscalibration uncertainties. | |
660 | // | |
661 | // Author : | |
662 | // Alex Bercuci <A.Bercuci@gsi.de> | |
663 | // Date : Jan 8th 2009 | |
664 | // | |
b1957d3c | 665 | |
666 | ||
d937ad7a | 667 | Double_t xr = fX0-x; |
668 | Double_t sy2 = fCov[0] +2.*xr*fCov[1] + xr*xr*fCov[2]; | |
b72f4eaf | 669 | Double_t sz2 = fS2Z; |
670 | //GetPadLength()*GetPadLength()/12.; | |
0906e73e | 671 | |
d937ad7a | 672 | // insert systematic uncertainties |
bb2db46c | 673 | if(fReconstructor){ |
674 | Double_t sys[15]; memset(sys, 0, 15*sizeof(Double_t)); | |
675 | fReconstructor->GetRecoParam()->GetSysCovMatrix(sys); | |
676 | sy2 += sys[0]; | |
677 | sz2 += sys[1]; | |
678 | } | |
d937ad7a | 679 | // rotate covariance matrix |
dd8059a8 | 680 | Double_t t2 = GetTilt()*GetTilt(); |
d937ad7a | 681 | Double_t correction = 1./(1. + t2); |
682 | cov[0] = (sy2+t2*sz2)*correction; | |
dd8059a8 | 683 | cov[1] = GetTilt()*(sz2 - sy2)*correction; |
d937ad7a | 684 | cov[2] = (t2*sy2+sz2)*correction; |
b72f4eaf | 685 | |
686 | //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 | 687 | } |
eb38ed55 | 688 | |
bb2db46c | 689 | //____________________________________________________________ |
690 | Double_t AliTRDseedV1::GetCovSqrt(Double_t *c, Double_t *d) | |
691 | { | |
692 | // Helper function to calculate the square root of the covariance matrix. | |
693 | // The input matrix is stored in the vector c and the result in the vector d. | |
41b7c7b6 | 694 | // Both arrays have to be initialized by the user with at least 3 elements. Return negative in case of failure. |
bb2db46c | 695 | // |
ec3f0161 | 696 | // For calculating the square root of the symmetric matrix c |
697 | // the following relation is used: | |
bb2db46c | 698 | // BEGIN_LATEX |
ec3f0161 | 699 | // C^{1/2} = VD^{1/2}V^{-1} |
bb2db46c | 700 | // END_LATEX |
41b7c7b6 | 701 | // with V being the matrix with the n eigenvectors as columns. |
ec3f0161 | 702 | // In case C is symmetric the followings are true: |
703 | // - matrix D is diagonal with the diagonal given by the eigenvalues of C | |
41b7c7b6 | 704 | // - V = V^{-1} |
bb2db46c | 705 | // |
706 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
707 | // Date Mar 19 2009 | |
708 | ||
41b7c7b6 | 709 | Double_t L[2], // eigenvalues |
710 | V[3]; // eigenvectors | |
bb2db46c | 711 | // the secular equation and its solution : |
712 | // (c[0]-L)(c[2]-L)-c[1]^2 = 0 | |
713 | // L^2 - L*Tr(c)+DET(c) = 0 | |
714 | // L12 = [Tr(c) +- sqrt(Tr(c)^2-4*DET(c))]/2 | |
715 | Double_t Tr = c[0]+c[2], // trace | |
716 | DET = c[0]*c[2]-c[1]*c[1]; // determinant | |
41b7c7b6 | 717 | if(TMath::Abs(DET)<1.e-20) return -1.; |
bb2db46c | 718 | Double_t DD = TMath::Sqrt(Tr*Tr - 4*DET); |
719 | L[0] = .5*(Tr + DD); | |
720 | L[1] = .5*(Tr - DD); | |
41b7c7b6 | 721 | if(L[0]<0. || L[1]<0.) return -1.; |
722 | ||
723 | // the sym V matrix | |
724 | // | v00 v10| | |
725 | // | v10 v11| | |
726 | Double_t tmp = (L[0]-c[0])/c[1]; | |
727 | V[0] = TMath::Sqrt(1./(tmp*tmp+1)); | |
728 | V[1] = tmp*V[0]; | |
729 | V[2] = V[1]*c[1]/(L[1]-c[2]); | |
730 | // the VD^{1/2}V is: | |
731 | L[0] = TMath::Sqrt(L[0]); L[1] = TMath::Sqrt(L[1]); | |
732 | d[0] = V[0]*V[0]*L[0]+V[1]*V[1]*L[1]; | |
733 | d[1] = V[0]*V[1]*L[0]+V[1]*V[2]*L[1]; | |
734 | d[2] = V[1]*V[1]*L[0]+V[2]*V[2]*L[1]; | |
bb2db46c | 735 | |
736 | return 1.; | |
737 | } | |
738 | ||
739 | //____________________________________________________________ | |
740 | Double_t AliTRDseedV1::GetCovInv(Double_t *c, Double_t *d) | |
741 | { | |
742 | // Helper function to calculate the inverse of the covariance matrix. | |
743 | // The input matrix is stored in the vector c and the result in the vector d. | |
744 | // Both arrays have to be initialized by the user with at least 3 elements | |
745 | // The return value is the determinant or 0 in case of singularity. | |
746 | // | |
747 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
748 | // Date Mar 19 2009 | |
749 | ||
750 | Double_t Det = c[0]*c[2] - c[1]*c[1]; | |
751 | if(TMath::Abs(Det)<1.e-20) return 0.; | |
752 | Double_t InvDet = 1./Det; | |
753 | d[0] = c[2]*InvDet; | |
754 | d[1] =-c[1]*InvDet; | |
755 | d[2] = c[0]*InvDet; | |
756 | return Det; | |
757 | } | |
0906e73e | 758 | |
b72f4eaf | 759 | //____________________________________________________________________ |
760 | UShort_t AliTRDseedV1::GetVolumeId() const | |
761 | { | |
762 | Int_t ic=0; | |
763 | while(ic<kNclusters && !fClusters[ic]) ic++; | |
764 | return fClusters[ic] ? fClusters[ic]->GetVolumeId() : 0; | |
765 | } | |
766 | ||
767 | ||
d937ad7a | 768 | //____________________________________________________________________ |
e3cf3d02 | 769 | void AliTRDseedV1::Calibrate() |
d937ad7a | 770 | { |
e3cf3d02 | 771 | // Retrieve calibration and position parameters from OCDB. |
772 | // The following information are used | |
d937ad7a | 773 | // - detector index |
e3cf3d02 | 774 | // - column and row position of first attached cluster. If no clusters are attached |
775 | // to the tracklet a random central chamber position (c=70, r=7) will be used. | |
776 | // | |
777 | // The following information is cached in the tracklet | |
778 | // t0 (trigger delay) | |
779 | // drift velocity | |
780 | // PRF width | |
781 | // omega*tau = tg(a_L) | |
782 | // diffusion coefficients (longitudinal and transversal) | |
d937ad7a | 783 | // |
784 | // Author : | |
785 | // Alex Bercuci <A.Bercuci@gsi.de> | |
786 | // Date : Jan 8th 2009 | |
787 | // | |
eb38ed55 | 788 | |
d937ad7a | 789 | AliCDBManager *cdb = AliCDBManager::Instance(); |
790 | if(cdb->GetRun() < 0){ | |
791 | AliError("OCDB manager not properly initialized"); | |
792 | return; | |
793 | } | |
0906e73e | 794 | |
e3cf3d02 | 795 | AliTRDcalibDB *calib = AliTRDcalibDB::Instance(); |
796 | AliTRDCalROC *vdROC = calib->GetVdriftROC(fDet), | |
797 | *t0ROC = calib->GetT0ROC(fDet);; | |
798 | const AliTRDCalDet *vdDet = calib->GetVdriftDet(); | |
799 | const AliTRDCalDet *t0Det = calib->GetT0Det(); | |
d937ad7a | 800 | |
801 | Int_t col = 70, row = 7; | |
802 | AliTRDcluster **c = &fClusters[0]; | |
3e778975 | 803 | if(GetN()){ |
d937ad7a | 804 | Int_t ic = 0; |
8d2bec9e | 805 | while (ic<kNclusters && !(*c)){ic++; c++;} |
d937ad7a | 806 | if(*c){ |
807 | col = (*c)->GetPadCol(); | |
808 | row = (*c)->GetPadRow(); | |
809 | } | |
810 | } | |
3a039a31 | 811 | |
e3cf3d02 | 812 | fT0 = t0Det->GetValue(fDet) + t0ROC->GetValue(col,row); |
813 | fVD = vdDet->GetValue(fDet) * vdROC->GetValue(col, row); | |
814 | fS2PRF = calib->GetPRFWidth(fDet, col, row); fS2PRF *= fS2PRF; | |
815 | fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVD); | |
816 | AliTRDCommonParam::Instance()->GetDiffCoeff(fDiffL, | |
817 | fDiffT, fVD); | |
818 | SetBit(kCalib, kTRUE); | |
0906e73e | 819 | } |
820 | ||
0906e73e | 821 | //____________________________________________________________________ |
29b87567 | 822 | void AliTRDseedV1::SetOwner() |
0906e73e | 823 | { |
29b87567 | 824 | //AliInfo(Form("own [%s] fOwner[%s]", own?"YES":"NO", fOwner?"YES":"NO")); |
825 | ||
826 | if(TestBit(kOwner)) return; | |
8d2bec9e | 827 | for(int ic=0; ic<kNclusters; ic++){ |
29b87567 | 828 | if(!fClusters[ic]) continue; |
829 | fClusters[ic] = new AliTRDcluster(*fClusters[ic]); | |
830 | } | |
831 | SetBit(kOwner); | |
0906e73e | 832 | } |
833 | ||
eb2b4f91 | 834 | //____________________________________________________________ |
835 | void AliTRDseedV1::SetPadPlane(AliTRDpadPlane *p) | |
836 | { | |
837 | // Shortcut method to initialize pad geometry. | |
838 | if(!p) return; | |
839 | SetTilt(TMath::Tan(TMath::DegToRad()*p->GetTiltingAngle())); | |
840 | SetPadLength(p->GetLengthIPad()); | |
841 | SetPadWidth(p->GetWidthIPad()); | |
842 | } | |
843 | ||
844 | ||
e4f2f73d | 845 | //____________________________________________________________________ |
b1957d3c | 846 | Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *chamber, Bool_t tilt) |
e4f2f73d | 847 | { |
1fd9389f | 848 | // |
849 | // Projective algorithm to attach clusters to seeding tracklets. The following steps are performed : | |
850 | // 1. Collapse x coordinate for the full detector plane | |
851 | // 2. truncated mean on y (r-phi) direction | |
852 | // 3. purge clusters | |
853 | // 4. truncated mean on z direction | |
854 | // 5. purge clusters | |
855 | // | |
856 | // Parameters | |
857 | // - chamber : pointer to tracking chamber container used to search the tracklet | |
858 | // - tilt : switch for tilt correction during road building [default true] | |
859 | // Output | |
860 | // - true : if tracklet found successfully. Failure can happend because of the following: | |
861 | // - | |
862 | // Detailed description | |
863 | // | |
864 | // We start up by defining the track direction in the xy plane and roads. The roads are calculated based | |
8a7ff53c | 865 | // on tracking information (variance in the r-phi direction) and estimated variance of the standard |
866 | // clusters (see AliTRDcluster::SetSigmaY2()) corrected for tilt (see GetCovAt()). From this the road is | |
867 | // BEGIN_LATEX | |
500851ab | 868 | // 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 | 869 | // r_{z} = 1.5*L_{pad} |
870 | // END_LATEX | |
1fd9389f | 871 | // |
4b755889 | 872 | // Author : Alexandru Bercuci <A.Bercuci@gsi.de> |
873 | // Debug : level >3 | |
1fd9389f | 874 | |
b1957d3c | 875 | Bool_t kPRINT = kFALSE; |
29b87567 | 876 | if(!fReconstructor->GetRecoParam() ){ |
877 | AliError("Seed can not be used without a valid RecoParam."); | |
878 | return kFALSE; | |
879 | } | |
b1957d3c | 880 | // Initialize reco params for this tracklet |
881 | // 1. first time bin in the drift region | |
a2abcbc5 | 882 | Int_t t0 = 14; |
b1957d3c | 883 | Int_t kClmin = Int_t(fReconstructor->GetRecoParam() ->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins()); |
29b87567 | 884 | |
8a7ff53c | 885 | Double_t s2yTrk= fRefCov[0], |
886 | s2yCl = 0., | |
887 | s2zCl = GetPadLength()*GetPadLength()/12., | |
888 | syRef = TMath::Sqrt(s2yTrk), | |
889 | t2 = GetTilt()*GetTilt(); | |
29b87567 | 890 | //define roads |
8a7ff53c | 891 | Double_t kroady = 1., //fReconstructor->GetRecoParam() ->GetRoad1y(); |
892 | kroadz = GetPadLength() * 1.5 + 1.; | |
893 | // define probing cluster (the perfect cluster) and default calibration | |
894 | Short_t sig[] = {0, 0, 10, 30, 10, 0,0}; | |
895 | AliTRDcluster cp(fDet, 6, 75, 0, sig, 0); | |
896 | Calibrate(); | |
897 | ||
b1957d3c | 898 | if(kPRINT) printf("AttachClusters() sy[%f] road[%f]\n", syRef, kroady); |
29b87567 | 899 | |
900 | // working variables | |
b1957d3c | 901 | const Int_t kNrows = 16; |
4b755889 | 902 | const Int_t kNcls = 3*kNclusters; // buffer size |
903 | AliTRDcluster *clst[kNrows][kNcls]; | |
904 | Double_t cond[4], dx, dy, yt, zt, yres[kNrows][kNcls]; | |
905 | Int_t idxs[kNrows][kNcls], ncl[kNrows], ncls = 0; | |
b1957d3c | 906 | memset(ncl, 0, kNrows*sizeof(Int_t)); |
4b755889 | 907 | memset(yres, 0, kNrows*kNcls*sizeof(Double_t)); |
908 | memset(clst, 0, kNrows*kNcls*sizeof(AliTRDcluster*)); | |
b1957d3c | 909 | |
29b87567 | 910 | // Do cluster projection |
b1957d3c | 911 | AliTRDcluster *c = 0x0; |
29b87567 | 912 | AliTRDchamberTimeBin *layer = 0x0; |
b1957d3c | 913 | Bool_t kBUFFER = kFALSE; |
4b755889 | 914 | for (Int_t it = 0; it < kNtb; it++) { |
b1957d3c | 915 | if(!(layer = chamber->GetTB(it))) continue; |
29b87567 | 916 | if(!Int_t(*layer)) continue; |
8a7ff53c | 917 | // get track projection at layers position |
b1957d3c | 918 | dx = fX0 - layer->GetX(); |
919 | yt = fYref[0] - fYref[1] * dx; | |
920 | zt = fZref[0] - fZref[1] * dx; | |
8a7ff53c | 921 | // get standard cluster error corrected for tilt |
922 | cp.SetLocalTimeBin(it); | |
923 | cp.SetSigmaY2(0.02, fDiffT, fExB, dx, -1./*zt*/, fYref[1]); | |
924 | s2yCl = (cp.GetSigmaY2() + t2*s2zCl)/(1.+t2); | |
925 | // get estimated road | |
926 | kroady = 3.*TMath::Sqrt(12.*(s2yTrk + s2yCl)); | |
927 | ||
928 | if(kPRINT) printf(" %2d dx[%f] yt[%f] zt[%f] sT[um]=%6.2f sy[um]=%6.2f syTilt[um]=%6.2f yRoad[mm]=%f\n", it, dx, yt, zt, 1.e4*TMath::Sqrt(s2yTrk), 1.e4*TMath::Sqrt(cp.GetSigmaY2()), 1.e4*TMath::Sqrt(s2yCl), 1.e1*kroady); | |
b1957d3c | 929 | |
8a7ff53c | 930 | // select clusters |
b1957d3c | 931 | cond[0] = yt; cond[2] = kroady; |
932 | cond[1] = zt; cond[3] = kroadz; | |
933 | Int_t n=0, idx[6]; | |
934 | layer->GetClusters(cond, idx, n, 6); | |
935 | for(Int_t ic = n; ic--;){ | |
936 | c = (*layer)[idx[ic]]; | |
937 | dy = yt - c->GetY(); | |
dd8059a8 | 938 | dy += tilt ? GetTilt() * (c->GetZ() - zt) : 0.; |
b1957d3c | 939 | // select clusters on a 3 sigmaKalman level |
940 | /* if(tilt && TMath::Abs(dy) > 3.*syRef){ | |
941 | printf("too large !!!\n"); | |
942 | continue; | |
943 | }*/ | |
944 | Int_t r = c->GetPadRow(); | |
945 | if(kPRINT) printf("\t\t%d dy[%f] yc[%f] r[%d]\n", ic, TMath::Abs(dy), c->GetY(), r); | |
946 | clst[r][ncl[r]] = c; | |
947 | idxs[r][ncl[r]] = idx[ic]; | |
948 | yres[r][ncl[r]] = dy; | |
949 | ncl[r]++; ncls++; | |
950 | ||
4b755889 | 951 | if(ncl[r] >= kNcls) { |
952 | AliWarning(Form("Cluster candidates reached buffer limit %d. Some may be lost.", kNcls)); | |
b1957d3c | 953 | kBUFFER = kTRUE; |
29b87567 | 954 | break; |
955 | } | |
956 | } | |
b1957d3c | 957 | if(kBUFFER) break; |
29b87567 | 958 | } |
b1957d3c | 959 | if(kPRINT) printf("Found %d clusters\n", ncls); |
960 | if(ncls<kClmin) return kFALSE; | |
961 | ||
962 | // analyze each row individualy | |
963 | Double_t mean, syDis; | |
964 | Int_t nrow[] = {0, 0, 0}, nr = 0, lr=-1; | |
965 | for(Int_t ir=kNrows; ir--;){ | |
966 | if(!(ncl[ir])) continue; | |
967 | if(lr>0 && lr-ir != 1){ | |
968 | if(kPRINT) printf("W - gap in rows attached !!\n"); | |
29b87567 | 969 | } |
b1957d3c | 970 | if(kPRINT) printf("\tir[%d] lr[%d] n[%d]\n", ir, lr, ncl[ir]); |
971 | // Evaluate truncated mean on the y direction | |
972 | if(ncl[ir] > 3) AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean, syDis, Int_t(ncl[ir]*.8)); | |
973 | else { | |
974 | mean = 0.; syDis = 0.; | |
8a7ff53c | 975 | continue; |
b1957d3c | 976 | } |
977 | ||
4b755889 | 978 | if(fReconstructor->GetStreamLevel(AliTRDReconstructor::kTracker) > 3){ |
979 | TTreeSRedirector &cstreamer = *fReconstructor->GetDebugStream(AliTRDReconstructor::kTracker); | |
980 | TVectorD dy(ncl[ir], yres[ir]); | |
21a6e3ac | 981 | UChar_t stat(0); |
982 | if(IsKink()) SETBIT(stat, 0); | |
983 | if(IsStandAlone()) SETBIT(stat, 1); | |
4b755889 | 984 | cstreamer << "AttachClusters" |
21a6e3ac | 985 | << "stat=" << stat |
986 | << "det=" << fDet | |
987 | << "pt=" << fPt | |
988 | << "s2y=" << s2yTrk | |
989 | << "dy=" << &dy | |
990 | << "m=" << mean | |
991 | << "s=" << syDis | |
4b755889 | 992 | << "\n"; |
993 | } | |
994 | ||
b1957d3c | 995 | // TODO check mean and sigma agains cluster resolution !! |
8a7ff53c | 996 | if(kPRINT) printf("\tr[%2d] m[%f %5.3fsigma] s[%f]\n", ir, mean, TMath::Abs(mean/syDis), syDis); |
b1957d3c | 997 | // select clusters on a 3 sigmaDistr level |
998 | Bool_t kFOUND = kFALSE; | |
999 | for(Int_t ic = ncl[ir]; ic--;){ | |
1000 | if(yres[ir][ic] - mean > 3. * syDis){ | |
1001 | clst[ir][ic] = 0x0; continue; | |
1002 | } | |
1003 | nrow[nr]++; kFOUND = kTRUE; | |
1004 | } | |
1005 | // exit loop | |
1006 | if(kFOUND) nr++; | |
1007 | lr = ir; if(nr>=3) break; | |
29b87567 | 1008 | } |
b1957d3c | 1009 | if(kPRINT) printf("lr[%d] nr[%d] nrow[0]=%d nrow[1]=%d nrow[2]=%d\n", lr, nr, nrow[0], nrow[1], nrow[2]); |
1010 | ||
1011 | // classify cluster rows | |
1012 | Int_t row = -1; | |
1013 | switch(nr){ | |
1014 | case 1: | |
1015 | row = lr; | |
1016 | break; | |
1017 | case 2: | |
1018 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
1019 | if(nrow[0] > nrow[1]){ row = lr+1; lr = -1;} | |
1020 | else{ | |
1021 | row = lr; lr = 1; | |
1022 | nrow[2] = nrow[1]; | |
1023 | nrow[1] = nrow[0]; | |
1024 | nrow[0] = nrow[2]; | |
29b87567 | 1025 | } |
b1957d3c | 1026 | break; |
1027 | case 3: | |
1028 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
1029 | break; | |
29b87567 | 1030 | } |
b1957d3c | 1031 | if(kPRINT) printf("\trow[%d] n[%d]\n\n", row, nrow[0]); |
1032 | if(row<0) return kFALSE; | |
29b87567 | 1033 | |
b1957d3c | 1034 | // Select and store clusters |
1035 | // We should consider here : | |
1036 | // 1. How far is the chamber boundary | |
1037 | // 2. How big is the mean | |
3e778975 | 1038 | Int_t n = 0; |
b1957d3c | 1039 | for (Int_t ir = 0; ir < nr; ir++) { |
1040 | Int_t jr = row + ir*lr; | |
1041 | if(kPRINT) printf("\tattach %d clusters for row %d\n", ncl[jr], jr); | |
1042 | for (Int_t ic = 0; ic < ncl[jr]; ic++) { | |
1043 | if(!(c = clst[jr][ic])) continue; | |
1044 | Int_t it = c->GetPadTime(); | |
1045 | // TODO proper indexing of clusters !! | |
e3cf3d02 | 1046 | fIndexes[it+kNtb*ir] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]); |
1047 | fClusters[it+kNtb*ir] = c; | |
29b87567 | 1048 | |
b1957d3c | 1049 | //printf("\tid[%2d] it[%d] idx[%d]\n", ic, it, fIndexes[it]); |
1050 | ||
3e778975 | 1051 | n++; |
b1957d3c | 1052 | } |
1053 | } | |
1054 | ||
29b87567 | 1055 | // number of minimum numbers of clusters expected for the tracklet |
3e778975 | 1056 | if (n < kClmin){ |
1057 | //AliWarning(Form("Not enough clusters to fit the tracklet %d [%d].", n, kClmin)); | |
e4f2f73d | 1058 | return kFALSE; |
1059 | } | |
3e778975 | 1060 | SetN(n); |
0906e73e | 1061 | |
e3cf3d02 | 1062 | // Load calibration parameters for this tracklet |
1063 | Calibrate(); | |
b1957d3c | 1064 | |
1065 | // calculate dx for time bins in the drift region (calibration aware) | |
a2abcbc5 | 1066 | Float_t x[2] = {0.,0.}; Int_t tb[2]={0,0}; |
1067 | for (Int_t it = t0, irp=0; irp<2 && it < AliTRDtrackerV1::GetNTimeBins(); it++) { | |
b1957d3c | 1068 | if(!fClusters[it]) continue; |
1069 | x[irp] = fClusters[it]->GetX(); | |
a2abcbc5 | 1070 | tb[irp] = fClusters[it]->GetLocalTimeBin(); |
b1957d3c | 1071 | irp++; |
e3cf3d02 | 1072 | } |
d86ed84c | 1073 | Int_t dtb = tb[1] - tb[0]; |
1074 | fdX = dtb ? (x[0] - x[1]) / dtb : 0.15; | |
29b87567 | 1075 | return kTRUE; |
e4f2f73d | 1076 | } |
1077 | ||
03cef9b2 | 1078 | //____________________________________________________________ |
1079 | void AliTRDseedV1::Bootstrap(const AliTRDReconstructor *rec) | |
1080 | { | |
1081 | // Fill in all derived information. It has to be called after recovery from file or HLT. | |
1082 | // The primitive data are | |
1083 | // - list of clusters | |
1084 | // - detector (as the detector will be removed from clusters) | |
1085 | // - position of anode wire (fX0) - temporary | |
1086 | // - track reference position and direction | |
1087 | // - momentum of the track | |
1088 | // - time bin length [cm] | |
1089 | // | |
1090 | // A.Bercuci <A.Bercuci@gsi.de> Oct 30th 2008 | |
1091 | // | |
1092 | fReconstructor = rec; | |
1093 | AliTRDgeometry g; | |
1094 | AliTRDpadPlane *pp = g.GetPadPlane(fDet); | |
dd8059a8 | 1095 | fPad[0] = pp->GetLengthIPad(); |
1096 | fPad[1] = pp->GetWidthIPad(); | |
1097 | fPad[3] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle()); | |
e3cf3d02 | 1098 | //fSnp = fYref[1]/TMath::Sqrt(1+fYref[1]*fYref[1]); |
1099 | //fTgl = fZref[1]; | |
3e778975 | 1100 | Int_t n = 0, nshare = 0, nused = 0; |
03cef9b2 | 1101 | AliTRDcluster **cit = &fClusters[0]; |
8d2bec9e | 1102 | for(Int_t ic = kNclusters; ic--; cit++){ |
03cef9b2 | 1103 | if(!(*cit)) return; |
3e778975 | 1104 | n++; |
1105 | if((*cit)->IsShared()) nshare++; | |
1106 | if((*cit)->IsUsed()) nused++; | |
03cef9b2 | 1107 | } |
3e778975 | 1108 | SetN(n); SetNUsed(nused); SetNShared(nshare); |
e3cf3d02 | 1109 | Fit(); |
03cef9b2 | 1110 | CookLabels(); |
1111 | GetProbability(); | |
1112 | } | |
1113 | ||
1114 | ||
e4f2f73d | 1115 | //____________________________________________________________________ |
b72f4eaf | 1116 | Bool_t AliTRDseedV1::Fit(Bool_t tilt, Bool_t zcorr) |
e4f2f73d | 1117 | { |
16cca13f | 1118 | // |
1119 | // Linear fit of the clusters attached to the tracklet | |
1120 | // | |
1121 | // Parameters : | |
1122 | // - tilt : switch for tilt pad correction of cluster y position based on | |
1123 | // the z, dzdx info from outside [default false]. | |
1124 | // - zcorr : switch for using z information to correct for anisochronity | |
1fd9389f | 1125 | // and a finner error parameterization estimation [default false] |
16cca13f | 1126 | // Output : |
1127 | // True if successful | |
1128 | // | |
1129 | // Detailed description | |
1130 | // | |
1131 | // Fit in the xy plane | |
1132 | // | |
1fd9389f | 1133 | // The fit is performed to estimate the y position of the tracklet and the track |
1134 | // angle in the bending plane. The clusters are represented in the chamber coordinate | |
1135 | // system (with respect to the anode wire - see AliTRDtrackerV1::FollowBackProlongation() | |
1136 | // on how this is set). The x and y position of the cluster and also their variances | |
1137 | // are known from clusterizer level (see AliTRDcluster::GetXloc(), AliTRDcluster::GetYloc(), | |
1138 | // AliTRDcluster::GetSX() and AliTRDcluster::GetSY()). | |
1139 | // If gaussian approximation is used to calculate y coordinate of the cluster the position | |
1140 | // is recalculated taking into account the track angle. The general formula to calculate the | |
1141 | // error of cluster position in the gaussian approximation taking into account diffusion and track | |
1142 | // inclination is given for TRD by: | |
1143 | // BEGIN_LATEX | |
1144 | // #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} | |
1145 | // END_LATEX | |
1146 | // | |
1147 | // Since errors are calculated only in the y directions, radial errors (x direction) are mapped to y | |
1148 | // by projection i.e. | |
1149 | // BEGIN_LATEX | |
1150 | // #sigma_{x|y} = tg(#phi) #sigma_{x} | |
1151 | // END_LATEX | |
1152 | // and also by the lorentz angle correction | |
1153 | // | |
1154 | // Fit in the xz plane | |
1155 | // | |
1156 | // The "fit" is performed to estimate the radial position (x direction) where pad row cross happens. | |
1157 | // If no pad row crossing the z position is taken from geometry and radial position is taken from the xy | |
1158 | // fit (see below). | |
1159 | // | |
1160 | // There are two methods to estimate the radial position of the pad row cross: | |
1161 | // 1. leading cluster radial position : Here the lower part of the tracklet is considered and the last | |
1162 | // cluster registered (at radial x0) on this segment is chosen to mark the pad row crossing. The error | |
1163 | // of the z estimate is given by : | |
1164 | // BEGIN_LATEX | |
1165 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1166 | // END_LATEX | |
1167 | // The systematic errors for this estimation are generated by the following sources: | |
1168 | // - no charge sharing between pad rows is considered (sharp cross) | |
1169 | // - missing cluster at row cross (noise peak-up, under-threshold signal etc.). | |
1170 | // | |
1171 | // 2. charge fit over the crossing point : Here the full energy deposit along the tracklet is considered | |
1172 | // to estimate the position of the crossing by a fit in the qx plane. The errors in the q directions are | |
1173 | // parameterized as s_q = q^2. The systematic errors for this estimation are generated by the following sources: | |
1174 | // - no general model for the qx dependence | |
1175 | // - physical fluctuations of the charge deposit | |
1176 | // - gain calibration dependence | |
1177 | // | |
1178 | // Estimation of the radial position of the tracklet | |
16cca13f | 1179 | // |
1fd9389f | 1180 | // For pad row cross the radial position is taken from the xz fit (see above). Otherwise it is taken as the |
1181 | // interpolation point of the tracklet i.e. the point where the error in y of the fit is minimum. The error | |
1182 | // in the y direction of the tracklet is (see AliTRDseedV1::GetCovAt()): | |
1183 | // BEGIN_LATEX | |
1184 | // #sigma_{y} = #sigma^{2}_{y_{0}} + 2xcov(y_{0}, dy/dx) + #sigma^{2}_{dy/dx} | |
1185 | // END_LATEX | |
1186 | // and thus the radial position is: | |
1187 | // BEGIN_LATEX | |
1188 | // x = - cov(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} | |
1189 | // END_LATEX | |
1190 | // | |
1191 | // Estimation of tracklet position error | |
1192 | // | |
1193 | // The error in y direction is the error of the linear fit at the radial position of the tracklet while in the z | |
1194 | // direction is given by the cluster error or pad row cross error. In case of no pad row cross this is given by: | |
1195 | // BEGIN_LATEX | |
1196 | // #sigma_{y} = #sigma^{2}_{y_{0}} - 2cov^{2}(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} + #sigma^{2}_{dy/dx} | |
1197 | // #sigma_{z} = Pad_{length}/12 | |
1198 | // END_LATEX | |
1199 | // For pad row cross the full error is calculated at the radial position of the crossing (see above) and the error | |
1200 | // in z by the width of the crossing region - being a matter of parameterization. | |
1201 | // BEGIN_LATEX | |
1202 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1203 | // END_LATEX | |
1204 | // In case of no tilt correction (default in the barrel tracking) the tilt is taken into account by the rotation of | |
1205 | // the covariance matrix. See AliTRDseedV1::GetCovAt() for details. | |
1206 | // | |
1207 | // Author | |
1208 | // A.Bercuci <A.Bercuci@gsi.de> | |
e4f2f73d | 1209 | |
b72f4eaf | 1210 | if(!IsCalibrated()) Calibrate(); |
e3cf3d02 | 1211 | |
29b87567 | 1212 | const Int_t kClmin = 8; |
010d62b0 | 1213 | |
2f7d6ac8 | 1214 | // get track direction |
1215 | Double_t y0 = fYref[0]; | |
1216 | Double_t dydx = fYref[1]; | |
1217 | Double_t z0 = fZref[0]; | |
1218 | Double_t dzdx = fZref[1]; | |
1219 | Double_t yt, zt; | |
ae4e8b84 | 1220 | |
b1957d3c | 1221 | //AliTRDtrackerV1::AliTRDLeastSquare fitterZ; |
24d8660e | 1222 | TLinearFitter fitterY(1, "pol1"); |
b72f4eaf | 1223 | TLinearFitter fitterZ(1, "pol1"); |
ae4e8b84 | 1224 | |
29b87567 | 1225 | // book cluster information |
8d2bec9e | 1226 | Double_t qc[kNclusters], xc[kNclusters], yc[kNclusters], zc[kNclusters], sy[kNclusters]; |
e3cf3d02 | 1227 | |
dd8059a8 | 1228 | Int_t n = 0; |
9eb2d46c | 1229 | AliTRDcluster *c=0x0, **jc = &fClusters[0]; |
9eb2d46c | 1230 | for (Int_t ic=0; ic<kNtb; ic++, ++jc) { |
29b87567 | 1231 | xc[ic] = -1.; |
1232 | yc[ic] = 999.; | |
1233 | zc[ic] = 999.; | |
1234 | sy[ic] = 0.; | |
9eb2d46c | 1235 | if(!(c = (*jc))) continue; |
29b87567 | 1236 | if(!c->IsInChamber()) continue; |
9462866a | 1237 | |
29b87567 | 1238 | Float_t w = 1.; |
1239 | if(c->GetNPads()>4) w = .5; | |
1240 | if(c->GetNPads()>5) w = .2; | |
010d62b0 | 1241 | |
1fd9389f | 1242 | // cluster charge |
dd8059a8 | 1243 | qc[n] = TMath::Abs(c->GetQ()); |
1fd9389f | 1244 | // pad row of leading |
1245 | ||
b72f4eaf | 1246 | // Radial cluster position |
e3cf3d02 | 1247 | //Int_t jc = TMath::Max(fN-3, 0); |
1248 | //xc[fN] = c->GetXloc(fT0, fVD, &qc[jc], &xc[jc]/*, z0 - c->GetX()*dzdx*/); | |
b72f4eaf | 1249 | xc[n] = fX0 - c->GetX(); |
1250 | ||
1fd9389f | 1251 | // extrapolated track to cluster position |
dd8059a8 | 1252 | yt = y0 - xc[n]*dydx; |
dd8059a8 | 1253 | zt = z0 - xc[n]*dzdx; |
1fd9389f | 1254 | |
1255 | // Recalculate cluster error based on tracking information | |
1256 | c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?zt:-1., dydx); | |
1257 | sy[n] = TMath::Sqrt(c->GetSigmaY2()); | |
1258 | ||
1259 | yc[n] = fReconstructor->UseGAUS() ? | |
1260 | c->GetYloc(y0, sy[n], GetPadWidth()): c->GetY(); | |
1261 | zc[n] = c->GetZ(); | |
1262 | //optional tilt correction | |
1263 | if(tilt) yc[n] -= (GetTilt()*(zc[n] - zt)); | |
1264 | ||
1265 | fitterY.AddPoint(&xc[n], yc[n], TMath::Sqrt(sy[n])); | |
b72f4eaf | 1266 | fitterZ.AddPoint(&xc[n], qc[n], 1.); |
dd8059a8 | 1267 | n++; |
29b87567 | 1268 | } |
47d5d320 | 1269 | // to few clusters |
dd8059a8 | 1270 | if (n < kClmin) return kFALSE; |
2f7d6ac8 | 1271 | |
d937ad7a | 1272 | // fit XY |
2f7d6ac8 | 1273 | fitterY.Eval(); |
d937ad7a | 1274 | fYfit[0] = fitterY.GetParameter(0); |
1275 | fYfit[1] = -fitterY.GetParameter(1); | |
1276 | // store covariance | |
1277 | Double_t *p = fitterY.GetCovarianceMatrix(); | |
1278 | fCov[0] = p[0]; // variance of y0 | |
1279 | fCov[1] = p[1]; // covariance of y0, dydx | |
1280 | fCov[2] = p[3]; // variance of dydx | |
b1957d3c | 1281 | // the ref radial position is set at the minimum of |
1282 | // the y variance of the tracklet | |
b72f4eaf | 1283 | fX = -fCov[1]/fCov[2]; |
b1957d3c | 1284 | |
1285 | // fit XZ | |
b72f4eaf | 1286 | if(IsRowCross()){ |
e355f67a | 1287 | /* // THE LEADING CLUSTER METHOD |
1fd9389f | 1288 | Float_t xMin = fX0; |
b72f4eaf | 1289 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
1fd9389f | 1290 | AliTRDcluster *c0 =0x0, **kc = &fClusters[kNtb-1]; |
1291 | for(; ic>kNtb; ic--, --jc, --kc){ | |
1292 | if((c0 = (*kc)) && c0->IsInChamber() && (xMin>c0->GetX())) xMin = c0->GetX(); | |
1293 | if(!(c = (*jc))) continue; | |
1294 | if(!c->IsInChamber()) continue; | |
1295 | zc[kNclusters-1] = c->GetZ(); | |
1296 | fX = fX0 - c->GetX(); | |
1297 | } | |
1298 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
1299 | // Error parameterization | |
1300 | fS2Z = fdX*fZref[1]; | |
e355f67a | 1301 | fS2Z *= fS2Z; fS2Z *= 0.2887; // 1/sqrt(12)*/ |
1302 | ||
1fd9389f | 1303 | // THE FIT X-Q PLANE METHOD |
e355f67a | 1304 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
b72f4eaf | 1305 | for(; ic>kNtb; ic--, --jc){ |
1306 | if(!(c = (*jc))) continue; | |
1307 | if(!c->IsInChamber()) continue; | |
1308 | qc[n] = TMath::Abs(c->GetQ()); | |
1309 | xc[n] = fX0 - c->GetX(); | |
1310 | zc[n] = c->GetZ(); | |
1311 | fitterZ.AddPoint(&xc[n], -qc[n], 1.); | |
1312 | n--; | |
1313 | } | |
1314 | // fit XZ | |
1315 | fitterZ.Eval(); | |
1316 | if(fitterZ.GetParameter(1)!=0.){ | |
1317 | fX = -fitterZ.GetParameter(0)/fitterZ.GetParameter(1); | |
1318 | fX=(fX<0.)?0.:fX; | |
1319 | Float_t dl = .5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght(); | |
1320 | fX=(fX> dl)?dl:fX; | |
07bbc13c | 1321 | fX-=.055; // TODO to be understood |
b72f4eaf | 1322 | } |
1323 | ||
1324 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
c850c351 | 1325 | // temporary external error parameterization |
1326 | fS2Z = 0.05+0.4*TMath::Abs(fZref[1]); fS2Z *= fS2Z; | |
1327 | // TODO correct formula | |
1328 | //fS2Z = sigma_x*TMath::Abs(fZref[1]); | |
b1957d3c | 1329 | } else { |
1330 | fZfit[0] = zc[0]; fZfit[1] = 0.; | |
dd8059a8 | 1331 | fS2Z = GetPadLength()*GetPadLength()/12.; |
29b87567 | 1332 | } |
b72f4eaf | 1333 | fS2Y = fCov[0] +2.*fX*fCov[1] + fX*fX*fCov[2]; |
29b87567 | 1334 | return kTRUE; |
e4f2f73d | 1335 | } |
1336 | ||
e4f2f73d | 1337 | |
f29f13a6 | 1338 | /* |
e3cf3d02 | 1339 | //_____________________________________________________________________________ |
1340 | void AliTRDseedV1::FitMI() | |
1341 | { | |
1342 | // | |
1343 | // Fit the seed. | |
1344 | // Marian Ivanov's version | |
1345 | // | |
1346 | // linear fit on the y direction with respect to the reference direction. | |
1347 | // The residuals for each x (x = xc - x0) are deduced from: | |
1348 | // dy = y - yt (1) | |
1349 | // the tilting correction is written : | |
1350 | // y = yc + h*(zc-zt) (2) | |
1351 | // yt = y0+dy/dx*x (3) | |
1352 | // zt = z0+dz/dx*x (4) | |
1353 | // from (1),(2),(3) and (4) | |
1354 | // dy = yc - y0 - (dy/dx + h*dz/dx)*x + h*(zc-z0) | |
1355 | // the last term introduces the correction on y direction due to tilting pads. There are 2 ways to account for this: | |
1356 | // 1. use tilting correction for calculating the y | |
1357 | // 2. neglect tilting correction here and account for it in the error parametrization of the tracklet. | |
1358 | const Float_t kRatio = 0.8; | |
1359 | const Int_t kClmin = 5; | |
1360 | const Float_t kmaxtan = 2; | |
1361 | ||
1362 | if (TMath::Abs(fYref[1]) > kmaxtan){ | |
1363 | //printf("Exit: Abs(fYref[1]) = %3.3f, kmaxtan = %3.3f\n", TMath::Abs(fYref[1]), kmaxtan); | |
1364 | return; // Track inclined too much | |
1365 | } | |
1366 | ||
1367 | Float_t sigmaexp = 0.05 + TMath::Abs(fYref[1] * 0.25); // Expected r.m.s in y direction | |
dd8059a8 | 1368 | Float_t ycrosscor = GetPadLength() * GetTilt() * 0.5; // Y correction for crossing |
e3cf3d02 | 1369 | Int_t fNChange = 0; |
1370 | ||
1371 | Double_t sumw; | |
1372 | Double_t sumwx; | |
1373 | Double_t sumwx2; | |
1374 | Double_t sumwy; | |
1375 | Double_t sumwxy; | |
1376 | Double_t sumwz; | |
1377 | Double_t sumwxz; | |
1378 | ||
1379 | // Buffering: Leave it constant fot Performance issues | |
1380 | Int_t zints[kNtb]; // Histograming of the z coordinate | |
1381 | // Get 1 and second max probable coodinates in z | |
1382 | Int_t zouts[2*kNtb]; | |
1383 | Float_t allowedz[kNtb]; // Allowed z for given time bin | |
1384 | Float_t yres[kNtb]; // Residuals from reference | |
dd8059a8 | 1385 | //Float_t anglecor = GetTilt() * fZref[1]; // Correction to the angle |
e3cf3d02 | 1386 | |
1387 | Float_t pos[3*kNtb]; memset(pos, 0, 3*kNtb*sizeof(Float_t)); | |
1388 | Float_t *fX = &pos[0], *fY = &pos[kNtb], *fZ = &pos[2*kNtb]; | |
1389 | ||
1390 | Int_t fN = 0; AliTRDcluster *c = 0x0; | |
1391 | fN2 = 0; | |
1392 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1393 | yres[i] = 10000.0; | |
1394 | if (!(c = fClusters[i])) continue; | |
1395 | if(!c->IsInChamber()) continue; | |
1396 | // Residual y | |
dd8059a8 | 1397 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
e3cf3d02 | 1398 | fX[i] = fX0 - c->GetX(); |
1399 | fY[i] = c->GetY(); | |
1400 | fZ[i] = c->GetZ(); | |
dd8059a8 | 1401 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); |
e3cf3d02 | 1402 | zints[fN] = Int_t(fZ[i]); |
1403 | fN++; | |
1404 | } | |
1405 | ||
1406 | if (fN < kClmin){ | |
1407 | //printf("Exit fN < kClmin: fN = %d\n", fN); | |
1408 | return; | |
1409 | } | |
1410 | Int_t nz = AliTRDtrackerV1::Freq(fN, zints, zouts, kFALSE); | |
1411 | Float_t fZProb = zouts[0]; | |
1412 | if (nz <= 1) zouts[3] = 0; | |
1413 | if (zouts[1] + zouts[3] < kClmin) { | |
1414 | //printf("Exit zouts[1] = %d, zouts[3] = %d\n",zouts[1],zouts[3]); | |
1415 | return; | |
1416 | } | |
1417 | ||
1418 | // Z distance bigger than pad - length | |
1419 | if (TMath::Abs(zouts[0]-zouts[2]) > 12.0) zouts[3] = 0; | |
1420 | ||
1421 | Int_t breaktime = -1; | |
1422 | Bool_t mbefore = kFALSE; | |
1423 | Int_t cumul[kNtb][2]; | |
1424 | Int_t counts[2] = { 0, 0 }; | |
1425 | ||
1426 | if (zouts[3] >= 3) { | |
1427 | ||
1428 | // | |
1429 | // Find the break time allowing one chage on pad-rows | |
1430 | // with maximal number of accepted clusters | |
1431 | // | |
1432 | fNChange = 1; | |
1433 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1434 | cumul[i][0] = counts[0]; | |
1435 | cumul[i][1] = counts[1]; | |
1436 | if (TMath::Abs(fZ[i]-zouts[0]) < 2) counts[0]++; | |
1437 | if (TMath::Abs(fZ[i]-zouts[2]) < 2) counts[1]++; | |
1438 | } | |
1439 | Int_t maxcount = 0; | |
1440 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1441 | Int_t after = cumul[AliTRDtrackerV1::GetNTimeBins()][0] - cumul[i][0]; | |
1442 | Int_t before = cumul[i][1]; | |
1443 | if (after + before > maxcount) { | |
1444 | maxcount = after + before; | |
1445 | breaktime = i; | |
1446 | mbefore = kFALSE; | |
1447 | } | |
1448 | after = cumul[AliTRDtrackerV1::GetNTimeBins()-1][1] - cumul[i][1]; | |
1449 | before = cumul[i][0]; | |
1450 | if (after + before > maxcount) { | |
1451 | maxcount = after + before; | |
1452 | breaktime = i; | |
1453 | mbefore = kTRUE; | |
1454 | } | |
1455 | } | |
1456 | breaktime -= 1; | |
1457 | } | |
1458 | ||
1459 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1460 | if (i > breaktime) allowedz[i] = mbefore ? zouts[2] : zouts[0]; | |
1461 | if (i <= breaktime) allowedz[i] = (!mbefore) ? zouts[2] : zouts[0]; | |
1462 | } | |
1463 | ||
1464 | if (((allowedz[0] > allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] < 0)) || | |
1465 | ((allowedz[0] < allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] > 0))) { | |
1466 | // | |
1467 | // Tracklet z-direction not in correspondance with track z direction | |
1468 | // | |
1469 | fNChange = 0; | |
1470 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1471 | allowedz[i] = zouts[0]; // Only longest taken | |
1472 | } | |
1473 | } | |
1474 | ||
1475 | if (fNChange > 0) { | |
1476 | // | |
1477 | // Cross pad -row tracklet - take the step change into account | |
1478 | // | |
1479 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1480 | if (!fClusters[i]) continue; | |
1481 | if(!fClusters[i]->IsInChamber()) continue; | |
1482 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1483 | // Residual y | |
dd8059a8 | 1484 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
1485 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); | |
f29f13a6 | 1486 | // if (TMath::Abs(fZ[i] - fZProb) > 2) { |
dd8059a8 | 1487 | // if (fZ[i] > fZProb) yres[i] += GetTilt() * GetPadLength(); |
1488 | // if (fZ[i] < fZProb) yres[i] -= GetTilt() * GetPadLength(); | |
f29f13a6 | 1489 | } |
e3cf3d02 | 1490 | } |
1491 | } | |
1492 | ||
1493 | Double_t yres2[kNtb]; | |
1494 | Double_t mean; | |
1495 | Double_t sigma; | |
1496 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1497 | if (!fClusters[i]) continue; | |
1498 | if(!fClusters[i]->IsInChamber()) continue; | |
1499 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1500 | yres2[fN2] = yres[i]; | |
1501 | fN2++; | |
1502 | } | |
1503 | if (fN2 < kClmin) { | |
1504 | //printf("Exit fN2 < kClmin: fN2 = %d\n", fN2); | |
1505 | fN2 = 0; | |
1506 | return; | |
1507 | } | |
1508 | AliMathBase::EvaluateUni(fN2,yres2,mean,sigma, Int_t(fN2*kRatio-2.)); | |
1509 | if (sigma < sigmaexp * 0.8) { | |
1510 | sigma = sigmaexp; | |
1511 | } | |
1512 | //Float_t fSigmaY = sigma; | |
1513 | ||
1514 | // Reset sums | |
1515 | sumw = 0; | |
1516 | sumwx = 0; | |
1517 | sumwx2 = 0; | |
1518 | sumwy = 0; | |
1519 | sumwxy = 0; | |
1520 | sumwz = 0; | |
1521 | sumwxz = 0; | |
1522 | ||
1523 | fN2 = 0; | |
1524 | Float_t fMeanz = 0; | |
1525 | Float_t fMPads = 0; | |
1526 | fUsable = 0; | |
1527 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1528 | if (!fClusters[i]) continue; | |
1529 | if (!fClusters[i]->IsInChamber()) continue; | |
1530 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2){fClusters[i] = 0x0; continue;} | |
1531 | if (TMath::Abs(yres[i] - mean) > 4.0 * sigma){fClusters[i] = 0x0; continue;} | |
1532 | SETBIT(fUsable,i); | |
1533 | fN2++; | |
1534 | fMPads += fClusters[i]->GetNPads(); | |
1535 | Float_t weight = 1.0; | |
1536 | if (fClusters[i]->GetNPads() > 4) weight = 0.5; | |
1537 | if (fClusters[i]->GetNPads() > 5) weight = 0.2; | |
1538 | ||
1539 | ||
1540 | Double_t x = fX[i]; | |
1541 | //printf("x = %7.3f dy = %7.3f fit %7.3f\n", x, yres[i], fY[i]-yres[i]); | |
1542 | ||
1543 | sumw += weight; | |
1544 | sumwx += x * weight; | |
1545 | sumwx2 += x*x * weight; | |
1546 | sumwy += weight * yres[i]; | |
1547 | sumwxy += weight * (yres[i]) * x; | |
1548 | sumwz += weight * fZ[i]; | |
1549 | sumwxz += weight * fZ[i] * x; | |
1550 | ||
1551 | } | |
1552 | ||
1553 | if (fN2 < kClmin){ | |
1554 | //printf("Exit fN2 < kClmin(2): fN2 = %d\n",fN2); | |
1555 | fN2 = 0; | |
1556 | return; | |
1557 | } | |
1558 | fMeanz = sumwz / sumw; | |
1559 | Float_t correction = 0; | |
1560 | if (fNChange > 0) { | |
1561 | // Tracklet on boundary | |
1562 | if (fMeanz < fZProb) correction = ycrosscor; | |
1563 | if (fMeanz > fZProb) correction = -ycrosscor; | |
1564 | } | |
1565 | ||
1566 | Double_t det = sumw * sumwx2 - sumwx * sumwx; | |
1567 | fYfit[0] = (sumwx2 * sumwy - sumwx * sumwxy) / det; | |
1568 | fYfit[1] = (sumw * sumwxy - sumwx * sumwy) / det; | |
1569 | ||
1570 | fS2Y = 0; | |
1571 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1572 | if (!TESTBIT(fUsable,i)) continue; | |
1573 | Float_t delta = yres[i] - fYfit[0] - fYfit[1] * fX[i]; | |
1574 | fS2Y += delta*delta; | |
1575 | } | |
1576 | fS2Y = TMath::Sqrt(fS2Y / Float_t(fN2-2)); | |
1577 | // TEMPORARY UNTIL covariance properly calculated | |
1578 | fS2Y = TMath::Max(fS2Y, Float_t(.1)); | |
1579 | ||
1580 | fZfit[0] = (sumwx2 * sumwz - sumwx * sumwxz) / det; | |
1581 | fZfit[1] = (sumw * sumwxz - sumwx * sumwz) / det; | |
1582 | // fYfitR[0] += fYref[0] + correction; | |
1583 | // fYfitR[1] += fYref[1]; | |
1584 | // fYfit[0] = fYfitR[0]; | |
1585 | fYfit[1] = -fYfit[1]; | |
1586 | ||
1587 | UpdateUsed(); | |
f29f13a6 | 1588 | }*/ |
e3cf3d02 | 1589 | |
e4f2f73d | 1590 | //___________________________________________________________________ |
203967fc | 1591 | void AliTRDseedV1::Print(Option_t *o) const |
e4f2f73d | 1592 | { |
1593 | // | |
1594 | // Printing the seedstatus | |
1595 | // | |
1596 | ||
b72f4eaf | 1597 | AliInfo(Form("Det[%3d] X0[%7.2f] Pad{L[%5.2f] W[%5.2f] Tilt[%+6.2f]}", fDet, fX0, GetPadLength(), GetPadWidth(), GetTilt())); |
dd8059a8 | 1598 | AliInfo(Form("N[%2d] Nused[%2d] Nshared[%2d] [%d]", GetN(), GetNUsed(), GetNShared(), fN)); |
b72f4eaf | 1599 | AliInfo(Form("FLAGS : RC[%c] Kink[%c] SA[%c]", IsRowCross()?'y':'n', IsKink()?'y':'n', IsStandAlone()?'y':'n')); |
dd8059a8 | 1600 | |
1601 | Double_t cov[3], x=GetX(); | |
1602 | GetCovAt(x, cov); | |
1603 | AliInfo(" | x[cm] | y[cm] | z[cm] | dydx | dzdx |"); | |
1604 | 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 | 1605 | 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])) |
203967fc | 1606 | |
1607 | ||
1608 | if(strcmp(o, "a")!=0) return; | |
1609 | ||
4dc4dc2e | 1610 | AliTRDcluster* const* jc = &fClusters[0]; |
8d2bec9e | 1611 | for(int ic=0; ic<kNclusters; ic++, jc++) { |
4dc4dc2e | 1612 | if(!(*jc)) continue; |
203967fc | 1613 | (*jc)->Print(o); |
4dc4dc2e | 1614 | } |
e4f2f73d | 1615 | } |
47d5d320 | 1616 | |
203967fc | 1617 | |
1618 | //___________________________________________________________________ | |
1619 | Bool_t AliTRDseedV1::IsEqual(const TObject *o) const | |
1620 | { | |
1621 | // Checks if current instance of the class has the same essential members | |
1622 | // as the given one | |
1623 | ||
1624 | if(!o) return kFALSE; | |
1625 | const AliTRDseedV1 *inTracklet = dynamic_cast<const AliTRDseedV1*>(o); | |
1626 | if(!inTracklet) return kFALSE; | |
1627 | ||
1628 | for (Int_t i = 0; i < 2; i++){ | |
e3cf3d02 | 1629 | if ( fYref[i] != inTracklet->fYref[i] ) return kFALSE; |
1630 | if ( fZref[i] != inTracklet->fZref[i] ) return kFALSE; | |
203967fc | 1631 | } |
1632 | ||
e3cf3d02 | 1633 | if ( fS2Y != inTracklet->fS2Y ) return kFALSE; |
dd8059a8 | 1634 | if ( GetTilt() != inTracklet->GetTilt() ) return kFALSE; |
1635 | if ( GetPadLength() != inTracklet->GetPadLength() ) return kFALSE; | |
203967fc | 1636 | |
8d2bec9e | 1637 | for (Int_t i = 0; i < kNclusters; i++){ |
e3cf3d02 | 1638 | // if ( fX[i] != inTracklet->GetX(i) ) return kFALSE; |
1639 | // if ( fY[i] != inTracklet->GetY(i) ) return kFALSE; | |
1640 | // if ( fZ[i] != inTracklet->GetZ(i) ) return kFALSE; | |
1641 | if ( fIndexes[i] != inTracklet->fIndexes[i] ) return kFALSE; | |
203967fc | 1642 | } |
f29f13a6 | 1643 | // if ( fUsable != inTracklet->fUsable ) return kFALSE; |
203967fc | 1644 | |
1645 | for (Int_t i=0; i < 2; i++){ | |
e3cf3d02 | 1646 | if ( fYfit[i] != inTracklet->fYfit[i] ) return kFALSE; |
1647 | if ( fZfit[i] != inTracklet->fZfit[i] ) return kFALSE; | |
1648 | if ( fLabels[i] != inTracklet->fLabels[i] ) return kFALSE; | |
203967fc | 1649 | } |
1650 | ||
e3cf3d02 | 1651 | /* if ( fMeanz != inTracklet->GetMeanz() ) return kFALSE; |
1652 | if ( fZProb != inTracklet->GetZProb() ) return kFALSE;*/ | |
3e778975 | 1653 | if ( fN != inTracklet->fN ) return kFALSE; |
1654 | //if ( fNUsed != inTracklet->fNUsed ) return kFALSE; | |
e3cf3d02 | 1655 | //if ( fFreq != inTracklet->GetFreq() ) return kFALSE; |
1656 | //if ( fNChange != inTracklet->GetNChange() ) return kFALSE; | |
203967fc | 1657 | |
e3cf3d02 | 1658 | if ( fC != inTracklet->fC ) return kFALSE; |
1659 | //if ( fCC != inTracklet->GetCC() ) return kFALSE; | |
1660 | if ( fChi2 != inTracklet->fChi2 ) return kFALSE; | |
203967fc | 1661 | // if ( fChi2Z != inTracklet->GetChi2Z() ) return kFALSE; |
1662 | ||
e3cf3d02 | 1663 | if ( fDet != inTracklet->fDet ) return kFALSE; |
b25a5e9e | 1664 | if ( fPt != inTracklet->fPt ) return kFALSE; |
e3cf3d02 | 1665 | if ( fdX != inTracklet->fdX ) return kFALSE; |
203967fc | 1666 | |
8d2bec9e | 1667 | for (Int_t iCluster = 0; iCluster < kNclusters; iCluster++){ |
203967fc | 1668 | AliTRDcluster *curCluster = fClusters[iCluster]; |
e3cf3d02 | 1669 | AliTRDcluster *inCluster = inTracklet->fClusters[iCluster]; |
203967fc | 1670 | if (curCluster && inCluster){ |
1671 | if (! curCluster->IsEqual(inCluster) ) { | |
1672 | curCluster->Print(); | |
1673 | inCluster->Print(); | |
1674 | return kFALSE; | |
1675 | } | |
1676 | } else { | |
1677 | // if one cluster exists, and corresponding | |
1678 | // in other tracklet doesn't - return kFALSE | |
1679 | if(curCluster || inCluster) return kFALSE; | |
1680 | } | |
1681 | } | |
1682 | return kTRUE; | |
1683 | } | |
5d401b45 | 1684 |