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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" | |
e4f2f73d | 56 | #include "AliTRDrecoParam.h" |
a076fc2f | 57 | #include "AliTRDCommonParam.h" |
d937ad7a | 58 | |
0906e73e | 59 | #include "Cal/AliTRDCalPID.h" |
d937ad7a | 60 | #include "Cal/AliTRDCalROC.h" |
61 | #include "Cal/AliTRDCalDet.h" | |
e4f2f73d | 62 | |
e4f2f73d | 63 | ClassImp(AliTRDseedV1) |
64 | ||
f301a656 | 65 | TLinearFitter *AliTRDseedV1::fgFitterY = 0x0; |
66 | TLinearFitter *AliTRDseedV1::fgFitterZ = 0x0; | |
67 | ||
e4f2f73d | 68 | //____________________________________________________________________ |
ae4e8b84 | 69 | AliTRDseedV1::AliTRDseedV1(Int_t det) |
3e778975 | 70 | :AliTRDtrackletBase() |
3a039a31 | 71 | ,fReconstructor(0x0) |
ae4e8b84 | 72 | ,fClusterIter(0x0) |
e3cf3d02 | 73 | ,fExB(0.) |
74 | ,fVD(0.) | |
75 | ,fT0(0.) | |
76 | ,fS2PRF(0.) | |
77 | ,fDiffL(0.) | |
78 | ,fDiffT(0.) | |
ae4e8b84 | 79 | ,fClusterIdx(0) |
3e778975 | 80 | ,fN(0) |
ae4e8b84 | 81 | ,fDet(det) |
b25a5e9e | 82 | ,fPt(0.) |
bcb6fb78 | 83 | ,fdX(0.) |
e3cf3d02 | 84 | ,fX0(0.) |
85 | ,fX(0.) | |
86 | ,fY(0.) | |
87 | ,fZ(0.) | |
88 | ,fS2Y(0.) | |
89 | ,fS2Z(0.) | |
90 | ,fC(0.) | |
91 | ,fChi2(0.) | |
e4f2f73d | 92 | { |
93 | // | |
94 | // Constructor | |
95 | // | |
f301a656 | 96 | memset(fIndexes,0xFF,kNclusters*sizeof(fIndexes[0])); |
8d2bec9e | 97 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); |
dd8059a8 | 98 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 | 99 | fYref[0] = 0.; fYref[1] = 0.; |
100 | fZref[0] = 0.; fZref[1] = 0.; | |
101 | fYfit[0] = 0.; fYfit[1] = 0.; | |
102 | fZfit[0] = 0.; fZfit[1] = 0.; | |
8d2bec9e | 103 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
29b87567 | 104 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
e3cf3d02 | 105 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels |
106 | fLabels[2]=0; // number of different labels for tracklet | |
16cca13f | 107 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
d937ad7a | 108 | // covariance matrix [diagonal] |
109 | // default sy = 200um and sz = 2.3 cm | |
110 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; | |
f29f13a6 | 111 | SetStandAlone(kFALSE); |
e4f2f73d | 112 | } |
113 | ||
114 | //____________________________________________________________________ | |
0906e73e | 115 | AliTRDseedV1::AliTRDseedV1(const AliTRDseedV1 &ref) |
3e778975 | 116 | :AliTRDtrackletBase((AliTRDtrackletBase&)ref) |
e3cf3d02 | 117 | ,fReconstructor(0x0) |
ae4e8b84 | 118 | ,fClusterIter(0x0) |
e3cf3d02 | 119 | ,fExB(0.) |
120 | ,fVD(0.) | |
121 | ,fT0(0.) | |
122 | ,fS2PRF(0.) | |
123 | ,fDiffL(0.) | |
124 | ,fDiffT(0.) | |
ae4e8b84 | 125 | ,fClusterIdx(0) |
3e778975 | 126 | ,fN(0) |
e3cf3d02 | 127 | ,fDet(-1) |
b25a5e9e | 128 | ,fPt(0.) |
e3cf3d02 | 129 | ,fdX(0.) |
130 | ,fX0(0.) | |
131 | ,fX(0.) | |
132 | ,fY(0.) | |
133 | ,fZ(0.) | |
134 | ,fS2Y(0.) | |
135 | ,fS2Z(0.) | |
136 | ,fC(0.) | |
137 | ,fChi2(0.) | |
e4f2f73d | 138 | { |
139 | // | |
140 | // Copy Constructor performing a deep copy | |
141 | // | |
e3cf3d02 | 142 | if(this != &ref){ |
143 | ref.Copy(*this); | |
144 | } | |
29b87567 | 145 | SetBit(kOwner, kFALSE); |
f29f13a6 | 146 | SetStandAlone(ref.IsStandAlone()); |
fbb2ea06 | 147 | } |
d9950a5a | 148 | |
0906e73e | 149 | |
e4f2f73d | 150 | //____________________________________________________________________ |
151 | AliTRDseedV1& AliTRDseedV1::operator=(const AliTRDseedV1 &ref) | |
152 | { | |
153 | // | |
154 | // Assignment Operator using the copy function | |
155 | // | |
156 | ||
29b87567 | 157 | if(this != &ref){ |
158 | ref.Copy(*this); | |
159 | } | |
221ab7e0 | 160 | SetBit(kOwner, kFALSE); |
161 | ||
29b87567 | 162 | return *this; |
e4f2f73d | 163 | } |
164 | ||
165 | //____________________________________________________________________ | |
166 | AliTRDseedV1::~AliTRDseedV1() | |
167 | { | |
168 | // | |
169 | // Destructor. The RecoParam object belongs to the underlying tracker. | |
170 | // | |
171 | ||
29b87567 | 172 | //printf("I-AliTRDseedV1::~AliTRDseedV1() : Owner[%s]\n", IsOwner()?"YES":"NO"); |
e4f2f73d | 173 | |
e3cf3d02 | 174 | if(IsOwner()) { |
8d2bec9e | 175 | for(int itb=0; itb<kNclusters; itb++){ |
29b87567 | 176 | if(!fClusters[itb]) continue; |
177 | //AliInfo(Form("deleting c %p @ %d", fClusters[itb], itb)); | |
178 | delete fClusters[itb]; | |
179 | fClusters[itb] = 0x0; | |
180 | } | |
e3cf3d02 | 181 | } |
e4f2f73d | 182 | } |
183 | ||
184 | //____________________________________________________________________ | |
185 | void AliTRDseedV1::Copy(TObject &ref) const | |
186 | { | |
187 | // | |
188 | // Copy function | |
189 | // | |
190 | ||
29b87567 | 191 | //AliInfo(""); |
192 | AliTRDseedV1 &target = (AliTRDseedV1 &)ref; | |
193 | ||
e3cf3d02 | 194 | target.fReconstructor = fReconstructor; |
ae4e8b84 | 195 | target.fClusterIter = 0x0; |
e3cf3d02 | 196 | target.fExB = fExB; |
197 | target.fVD = fVD; | |
198 | target.fT0 = fT0; | |
199 | target.fS2PRF = fS2PRF; | |
200 | target.fDiffL = fDiffL; | |
201 | target.fDiffT = fDiffT; | |
ae4e8b84 | 202 | target.fClusterIdx = 0; |
3e778975 | 203 | target.fN = fN; |
ae4e8b84 | 204 | target.fDet = fDet; |
b25a5e9e | 205 | target.fPt = fPt; |
29b87567 | 206 | target.fdX = fdX; |
e3cf3d02 | 207 | target.fX0 = fX0; |
208 | target.fX = fX; | |
209 | target.fY = fY; | |
210 | target.fZ = fZ; | |
211 | target.fS2Y = fS2Y; | |
212 | target.fS2Z = fS2Z; | |
213 | target.fC = fC; | |
214 | target.fChi2 = fChi2; | |
29b87567 | 215 | |
8d2bec9e | 216 | memcpy(target.fIndexes, fIndexes, kNclusters*sizeof(Int_t)); |
217 | memcpy(target.fClusters, fClusters, kNclusters*sizeof(AliTRDcluster*)); | |
dd8059a8 | 218 | memcpy(target.fPad, fPad, 3*sizeof(Float_t)); |
e3cf3d02 | 219 | target.fYref[0] = fYref[0]; target.fYref[1] = fYref[1]; |
220 | target.fZref[0] = fZref[0]; target.fZref[1] = fZref[1]; | |
221 | target.fYfit[0] = fYfit[0]; target.fYfit[1] = fYfit[1]; | |
222 | target.fZfit[0] = fZfit[0]; target.fZfit[1] = fZfit[1]; | |
8d2bec9e | 223 | memcpy(target.fdEdx, fdEdx, kNslices*sizeof(Float_t)); |
e3cf3d02 | 224 | memcpy(target.fProb, fProb, AliPID::kSPECIES*sizeof(Float_t)); |
225 | memcpy(target.fLabels, fLabels, 3*sizeof(Int_t)); | |
16cca13f | 226 | memcpy(target.fRefCov, fRefCov, 7*sizeof(Double_t)); |
e3cf3d02 | 227 | memcpy(target.fCov, fCov, 3*sizeof(Double_t)); |
29b87567 | 228 | |
e3cf3d02 | 229 | TObject::Copy(ref); |
e4f2f73d | 230 | } |
231 | ||
0906e73e | 232 | |
233 | //____________________________________________________________ | |
f3d3af1b | 234 | Bool_t AliTRDseedV1::Init(AliTRDtrackV1 *track) |
0906e73e | 235 | { |
236 | // Initialize this tracklet using the track information | |
237 | // | |
238 | // Parameters: | |
239 | // track - the TRD track used to initialize the tracklet | |
240 | // | |
241 | // Detailed description | |
242 | // The function sets the starting point and direction of the | |
243 | // tracklet according to the information from the TRD track. | |
244 | // | |
245 | // Caution | |
246 | // The TRD track has to be propagated to the beginning of the | |
247 | // chamber where the tracklet will be constructed | |
248 | // | |
249 | ||
29b87567 | 250 | Double_t y, z; |
251 | if(!track->GetProlongation(fX0, y, z)) return kFALSE; | |
16cca13f | 252 | Update(track); |
29b87567 | 253 | return kTRUE; |
0906e73e | 254 | } |
255 | ||
bcb6fb78 | 256 | |
e3cf3d02 | 257 | //_____________________________________________________________________________ |
258 | void AliTRDseedV1::Reset() | |
259 | { | |
260 | // | |
261 | // Reset seed | |
262 | // | |
263 | fExB=0.;fVD=0.;fT0=0.;fS2PRF=0.; | |
264 | fDiffL=0.;fDiffT=0.; | |
3e778975 | 265 | fClusterIdx=0; |
266 | fN=0; | |
dd8059a8 | 267 | fDet=-1; |
b25a5e9e | 268 | fPt=0.; |
e3cf3d02 | 269 | fdX=0.;fX0=0.; fX=0.; fY=0.; fZ=0.; |
270 | fS2Y=0.; fS2Z=0.; | |
271 | fC=0.; fChi2 = 0.; | |
272 | ||
8d2bec9e | 273 | for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1; |
274 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); | |
dd8059a8 | 275 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 | 276 | fYref[0] = 0.; fYref[1] = 0.; |
277 | fZref[0] = 0.; fZref[1] = 0.; | |
278 | fYfit[0] = 0.; fYfit[1] = 0.; | |
279 | fZfit[0] = 0.; fZfit[1] = 0.; | |
8d2bec9e | 280 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
e3cf3d02 | 281 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
282 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels | |
283 | fLabels[2]=0; // number of different labels for tracklet | |
16cca13f | 284 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
e3cf3d02 | 285 | // covariance matrix [diagonal] |
286 | // default sy = 200um and sz = 2.3 cm | |
287 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; | |
288 | } | |
289 | ||
b1957d3c | 290 | //____________________________________________________________________ |
16cca13f | 291 | void AliTRDseedV1::Update(const AliTRDtrackV1 *trk) |
b1957d3c | 292 | { |
293 | // update tracklet reference position from the TRD track | |
b1957d3c | 294 | |
e3cf3d02 | 295 | Double_t fSnp = trk->GetSnp(); |
296 | Double_t fTgl = trk->GetTgl(); | |
b25a5e9e | 297 | fPt = trk->Pt(); |
1fd9389f | 298 | Double_t norm =1./TMath::Sqrt(1. - fSnp*fSnp); |
299 | fYref[1] = fSnp*norm; | |
300 | fZref[1] = fTgl*norm; | |
b1957d3c | 301 | SetCovRef(trk->GetCovariance()); |
302 | ||
303 | Double_t dx = trk->GetX() - fX0; | |
304 | fYref[0] = trk->GetY() - dx*fYref[1]; | |
305 | fZref[0] = trk->GetZ() - dx*fZref[1]; | |
306 | } | |
307 | ||
e3cf3d02 | 308 | //_____________________________________________________________________________ |
309 | void AliTRDseedV1::UpdateUsed() | |
310 | { | |
311 | // | |
f29f13a6 | 312 | // Calculate number of used clusers in the tracklet |
e3cf3d02 | 313 | // |
314 | ||
3e778975 | 315 | Int_t nused = 0, nshared = 0; |
8d2bec9e | 316 | for (Int_t i = kNclusters; i--; ) { |
e3cf3d02 | 317 | if (!fClusters[i]) continue; |
3e778975 | 318 | if(fClusters[i]->IsUsed()){ |
319 | nused++; | |
320 | } else if(fClusters[i]->IsShared()){ | |
321 | if(IsStandAlone()) nused++; | |
322 | else nshared++; | |
323 | } | |
e3cf3d02 | 324 | } |
3e778975 | 325 | SetNUsed(nused); |
326 | SetNShared(nshared); | |
e3cf3d02 | 327 | } |
328 | ||
329 | //_____________________________________________________________________________ | |
330 | void AliTRDseedV1::UseClusters() | |
331 | { | |
332 | // | |
333 | // Use clusters | |
334 | // | |
f29f13a6 | 335 | // In stand alone mode: |
336 | // Clusters which are marked as used or shared from another track are | |
337 | // removed from the tracklet | |
338 | // | |
339 | // In barrel mode: | |
340 | // - Clusters which are used by another track become shared | |
341 | // - Clusters which are attached to a kink track become shared | |
342 | // | |
e3cf3d02 | 343 | AliTRDcluster **c = &fClusters[0]; |
8d2bec9e | 344 | for (Int_t ic=kNclusters; ic--; c++) { |
e3cf3d02 | 345 | if(!(*c)) continue; |
f29f13a6 | 346 | if(IsStandAlone()){ |
347 | if((*c)->IsShared() || (*c)->IsUsed()){ | |
b82b4de1 | 348 | if((*c)->IsShared()) SetNShared(GetNShared()-1); |
349 | else SetNUsed(GetNUsed()-1); | |
3e778975 | 350 | (*c) = 0x0; |
f29f13a6 | 351 | fIndexes[ic] = -1; |
3e778975 | 352 | SetN(GetN()-1); |
3e778975 | 353 | continue; |
f29f13a6 | 354 | } |
3e778975 | 355 | } else { |
f29f13a6 | 356 | if((*c)->IsUsed() || IsKink()){ |
3e778975 | 357 | (*c)->SetShared(); |
358 | continue; | |
f29f13a6 | 359 | } |
360 | } | |
361 | (*c)->Use(); | |
e3cf3d02 | 362 | } |
363 | } | |
364 | ||
365 | ||
f29f13a6 | 366 | |
bcb6fb78 | 367 | //____________________________________________________________________ |
368 | void AliTRDseedV1::CookdEdx(Int_t nslices) | |
369 | { | |
370 | // Calculates average dE/dx for all slices and store them in the internal array fdEdx. | |
371 | // | |
372 | // Parameters: | |
373 | // nslices : number of slices for which dE/dx should be calculated | |
374 | // Output: | |
375 | // store results in the internal array fdEdx. This can be accessed with the method | |
376 | // AliTRDseedV1::GetdEdx() | |
377 | // | |
378 | // Detailed description | |
379 | // Calculates average dE/dx for all slices. Depending on the PID methode | |
380 | // the number of slices can be 3 (LQ) or 8(NN). | |
3ee48d6e | 381 | // The calculation of dQ/dl are done using the tracklet fit results (see AliTRDseedV1::GetdQdl(Int_t)) |
bcb6fb78 | 382 | // |
383 | // The following effects are included in the calculation: | |
384 | // 1. calibration values for t0 and vdrift (using x coordinate to calculate slice) | |
385 | // 2. cluster sharing (optional see AliTRDrecoParam::SetClusterSharing()) | |
386 | // 3. cluster size | |
387 | // | |
388 | ||
8d2bec9e | 389 | Int_t nclusters[kNslices]; |
390 | memset(nclusters, 0, kNslices*sizeof(Int_t)); | |
391 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); | |
e3cf3d02 | 392 | |
e73abf77 | 393 | const Double_t kDriftLength = (.5 * AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
29b87567 | 394 | |
3ee48d6e | 395 | AliTRDcluster *c = 0x0; |
29b87567 | 396 | for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){ |
8e709c82 | 397 | if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue; |
e73abf77 | 398 | Float_t dx = TMath::Abs(fX0 - c->GetX()); |
29b87567 | 399 | |
400 | // Filter clusters for dE/dx calculation | |
401 | ||
402 | // 1.consider calibration effects for slice determination | |
e73abf77 | 403 | Int_t slice; |
404 | if(dx<kDriftLength){ // TODO should be replaced by c->IsInChamber() | |
405 | slice = Int_t(dx * nslices / kDriftLength); | |
406 | } else slice = c->GetX() < fX0 ? nslices-1 : 0; | |
407 | ||
408 | ||
29b87567 | 409 | // 2. take sharing into account |
3e778975 | 410 | Float_t w = /*c->IsShared() ? .5 :*/ 1.; |
29b87567 | 411 | |
412 | // 3. take into account large clusters TODO | |
413 | //w *= c->GetNPads() > 3 ? .8 : 1.; | |
414 | ||
415 | //CHECK !!! | |
416 | fdEdx[slice] += w * GetdQdl(ic); //fdQdl[ic]; | |
417 | nclusters[slice]++; | |
418 | } // End of loop over clusters | |
419 | ||
cd40b287 | 420 | //if(fReconstructor->GetPIDMethod() == AliTRDReconstructor::kLQPID){ |
0d83b3a5 | 421 | if(nslices == AliTRDpidUtil::kLQslices){ |
29b87567 | 422 | // calculate mean charge per slice (only LQ PID) |
423 | for(int is=0; is<nslices; is++){ | |
424 | if(nclusters[is]) fdEdx[is] /= nclusters[is]; | |
425 | } | |
426 | } | |
bcb6fb78 | 427 | } |
428 | ||
e3cf3d02 | 429 | //_____________________________________________________________________________ |
430 | void AliTRDseedV1::CookLabels() | |
431 | { | |
432 | // | |
433 | // Cook 2 labels for seed | |
434 | // | |
435 | ||
436 | Int_t labels[200]; | |
437 | Int_t out[200]; | |
438 | Int_t nlab = 0; | |
8d2bec9e | 439 | for (Int_t i = 0; i < kNclusters; i++) { |
e3cf3d02 | 440 | if (!fClusters[i]) continue; |
441 | for (Int_t ilab = 0; ilab < 3; ilab++) { | |
442 | if (fClusters[i]->GetLabel(ilab) >= 0) { | |
443 | labels[nlab] = fClusters[i]->GetLabel(ilab); | |
444 | nlab++; | |
445 | } | |
446 | } | |
447 | } | |
448 | ||
fac58f00 | 449 | fLabels[2] = AliMathBase::Freq(nlab,labels,out,kTRUE); |
e3cf3d02 | 450 | fLabels[0] = out[0]; |
451 | if ((fLabels[2] > 1) && (out[3] > 1)) fLabels[1] = out[2]; | |
452 | } | |
453 | ||
454 | ||
bcb6fb78 | 455 | //____________________________________________________________________ |
0b433f72 | 456 | Float_t AliTRDseedV1::GetdQdl(Int_t ic, Float_t *dl) const |
bcb6fb78 | 457 | { |
3ee48d6e | 458 | // Using the linear approximation of the track inside one TRD chamber (TRD tracklet) |
459 | // the charge per unit length can be written as: | |
460 | // BEGIN_LATEX | |
500851ab | 461 | // #frac{dq}{dl} = #frac{q_{c}}{dx * #sqrt{1 + #(){#frac{dy}{dx}}^{2}_{fit} + #(){#frac{dz}{dx}}^{2}_{ref}}} |
3ee48d6e | 462 | // END_LATEX |
463 | // where qc is the total charge collected in the current time bin and dx is the length | |
0b433f72 | 464 | // of the time bin. |
465 | // The following correction are applied : | |
466 | // - charge : pad row cross corrections | |
467 | // [diffusion and TRF assymetry] TODO | |
468 | // - dx : anisochronity, track inclination - see Fit and AliTRDcluster::GetXloc() | |
469 | // and AliTRDcluster::GetYloc() for the effects taken into account | |
3ee48d6e | 470 | // |
0fa1a8ee | 471 | //Begin_Html |
472 | //<img src="TRD/trackletDQDT.gif"> | |
473 | //End_Html | |
474 | // In the picture the energy loss measured on the tracklet as a function of drift time [left] and respectively | |
475 | // drift length [right] for different particle species is displayed. | |
3ee48d6e | 476 | // Author : Alex Bercuci <A.Bercuci@gsi.de> |
477 | // | |
478 | Float_t dq = 0.; | |
5d401b45 | 479 | // check whether both clusters are inside the chamber |
480 | Bool_t hasClusterInChamber = kFALSE; | |
481 | if(fClusters[ic] && fClusters[ic]->IsInChamber()){ | |
482 | hasClusterInChamber = kTRUE; | |
1742f24c | 483 | dq += TMath::Abs(fClusters[ic]->GetQ()); |
5d401b45 | 484 | }else if(fClusters[ic+kNtb] && fClusters[ic+kNtb]->IsInChamber()){ |
485 | hasClusterInChamber = kTRUE; | |
486 | dq += TMath::Abs(fClusters[ic+kNtb]->GetQ()); | |
1742f24c | 487 | } |
5d401b45 | 488 | if(!hasClusterInChamber) return 0.; |
0b433f72 | 489 | if(dq<1.e-3) return 0.; |
3ee48d6e | 490 | |
a2abcbc5 | 491 | Double_t dx = fdX; |
492 | if(ic-1>=0 && ic+1<kNtb){ | |
493 | Float_t x2(0.), x1(0.); | |
5d401b45 | 494 | // try to estimate upper radial position (find the cluster which is inside the chamber) |
495 | if(fClusters[ic-1] && fClusters[ic-1]->IsInChamber()) x2 = fClusters[ic-1]->GetX(); | |
496 | else if(fClusters[ic-1+kNtb] && fClusters[ic-1+kNtb]->IsInChamber()) x2 = fClusters[ic-1+kNtb]->GetX(); | |
497 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x2 = fClusters[ic]->GetX()+fdX; | |
a2abcbc5 | 498 | else x2 = fClusters[ic+kNtb]->GetX()+fdX; |
5d401b45 | 499 | // try to estimate lower radial position (find the cluster which is inside the chamber) |
500 | if(fClusters[ic+1] && fClusters[ic+1]->IsInChamber()) x1 = fClusters[ic+1]->GetX(); | |
501 | else if(fClusters[ic+1+kNtb] && fClusters[ic+1+kNtb]->IsInChamber()) x1 = fClusters[ic+1+kNtb]->GetX(); | |
502 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x1 = fClusters[ic]->GetX()-fdX; | |
a2abcbc5 | 503 | else x1 = fClusters[ic+kNtb]->GetX()-fdX; |
504 | ||
505 | dx = .5*(x2 - x1); | |
506 | } | |
0b433f72 | 507 | dx *= TMath::Sqrt(1. + fYfit[1]*fYfit[1] + fZref[1]*fZref[1]); |
0b433f72 | 508 | if(dl) (*dl) = dx; |
509 | return dq/dx; | |
bcb6fb78 | 510 | } |
511 | ||
0b433f72 | 512 | //____________________________________________________________ |
513 | Float_t AliTRDseedV1::GetMomentum(Float_t *err) const | |
514 | { | |
515 | // Returns momentum of the track after update with the current tracklet as: | |
516 | // BEGIN_LATEX | |
517 | // p=#frac{1}{1/p_{t}} #sqrt{1+tgl^{2}} | |
518 | // END_LATEX | |
519 | // and optionally the momentum error (if err is not null). | |
520 | // The estimated variance of the momentum is given by: | |
521 | // BEGIN_LATEX | |
522 | // #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}) | |
523 | // END_LATEX | |
524 | // which can be simplified to | |
525 | // BEGIN_LATEX | |
526 | // #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} | |
527 | // END_LATEX | |
528 | // | |
529 | ||
530 | Double_t p = fPt*TMath::Sqrt(1.+fZref[1]*fZref[1]); | |
531 | Double_t p2 = p*p; | |
532 | Double_t tgl2 = fZref[1]*fZref[1]; | |
533 | Double_t pt2 = fPt*fPt; | |
534 | if(err){ | |
535 | Double_t s2 = | |
536 | p2*tgl2*pt2*pt2*fRefCov[4] | |
537 | -2.*p2*fZref[1]*fPt*pt2*fRefCov[5] | |
538 | +p2*pt2*fRefCov[6]; | |
539 | (*err) = TMath::Sqrt(s2); | |
540 | } | |
541 | return p; | |
542 | } | |
543 | ||
544 | ||
0906e73e | 545 | //____________________________________________________________________ |
3e778975 | 546 | Float_t* AliTRDseedV1::GetProbability(Bool_t force) |
0906e73e | 547 | { |
3e778975 | 548 | if(!force) return &fProb[0]; |
549 | if(!CookPID()) return 0x0; | |
550 | return &fProb[0]; | |
551 | } | |
552 | ||
553 | //____________________________________________________________ | |
554 | Bool_t AliTRDseedV1::CookPID() | |
555 | { | |
0906e73e | 556 | // Fill probability array for tracklet from the DB. |
557 | // | |
558 | // Parameters | |
559 | // | |
560 | // Output | |
561 | // returns pointer to the probability array and 0x0 if missing DB access | |
562 | // | |
2a3191bb | 563 | // Retrieve PID probabilities for e+-, mu+-, K+-, pi+- and p+- from the DB according to tracklet information: |
564 | // - estimated momentum at tracklet reference point | |
565 | // - dE/dx measurements | |
566 | // - tracklet length | |
567 | // - TRD layer | |
568 | // According to the steering settings specified in the reconstruction one of the following methods are used | |
569 | // - Neural Network [default] - option "nn" | |
570 | // - 2D Likelihood - option "!nn" | |
0906e73e | 571 | |
0906e73e | 572 | AliTRDcalibDB *calibration = AliTRDcalibDB::Instance(); |
573 | if (!calibration) { | |
574 | AliError("No access to calibration data"); | |
3e778975 | 575 | return kFALSE; |
0906e73e | 576 | } |
577 | ||
3a039a31 | 578 | if (!fReconstructor) { |
579 | AliError("Reconstructor not set."); | |
3e778975 | 580 | return kFALSE; |
4ba1d6ae | 581 | } |
582 | ||
0906e73e | 583 | // Retrieve the CDB container class with the parametric detector response |
3a039a31 | 584 | const AliTRDCalPID *pd = calibration->GetPIDObject(fReconstructor->GetPIDMethod()); |
0906e73e | 585 | if (!pd) { |
586 | AliError("No access to AliTRDCalPID object"); | |
3e778975 | 587 | return kFALSE; |
0906e73e | 588 | } |
29b87567 | 589 | //AliInfo(Form("Method[%d] : %s", fReconstructor->GetRecoParam() ->GetPIDMethod(), pd->IsA()->GetName())); |
10f75631 | 590 | |
29b87567 | 591 | // calculate tracklet length TO DO |
0906e73e | 592 | Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
593 | /// TMath::Sqrt((1.0 - fSnp[iPlane]*fSnp[iPlane]) / (1.0 + fTgl[iPlane]*fTgl[iPlane])); | |
594 | ||
595 | //calculate dE/dx | |
3a039a31 | 596 | CookdEdx(fReconstructor->GetNdEdxSlices()); |
0906e73e | 597 | |
598 | // Sets the a priori probabilities | |
f301a656 | 599 | if(fReconstructor->IsHLT()){ |
600 | // this can be done here, because in HLT we have another NN | |
601 | // don't run HLT with the normal NN because here we assume that the NN was trained with only two output neurons! | |
602 | memset(fProb,0,AliPID::kSPECIES*sizeof(fProb[0])); | |
603 | fProb[AliPID::kElectron] = pd->GetProbability(AliPID::kElectron, GetMomentum(), &fdEdx[0], length, GetPlane()); | |
604 | fProb[AliPID::kPion] = 1 - fProb[AliPID::kElectron]; | |
0906e73e | 605 | } |
f301a656 | 606 | else |
607 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) | |
608 | fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, GetPlane()); | |
609 | ||
3e778975 | 610 | return kTRUE; |
0906e73e | 611 | } |
612 | ||
e4f2f73d | 613 | //____________________________________________________________________ |
614 | Float_t AliTRDseedV1::GetQuality(Bool_t kZcorr) const | |
615 | { | |
616 | // | |
617 | // Returns a quality measurement of the current seed | |
618 | // | |
619 | ||
dd8059a8 | 620 | Float_t zcorr = kZcorr ? GetTilt() * (fZfit[0] - fZref[0]) : 0.; |
29b87567 | 621 | return |
3e778975 | 622 | .5 * TMath::Abs(18.0 - GetN()) |
29b87567 | 623 | + 10.* TMath::Abs(fYfit[1] - fYref[1]) |
624 | + 5. * TMath::Abs(fYfit[0] - fYref[0] + zcorr) | |
dd8059a8 | 625 | + 2. * TMath::Abs(fZfit[0] - fZref[0]) / GetPadLength(); |
e4f2f73d | 626 | } |
627 | ||
0906e73e | 628 | //____________________________________________________________________ |
d937ad7a | 629 | void AliTRDseedV1::GetCovAt(Double_t x, Double_t *cov) const |
0906e73e | 630 | { |
d937ad7a | 631 | // Computes covariance in the y-z plane at radial point x (in tracking coordinates) |
632 | // and returns the results in the preallocated array cov[3] as : | |
633 | // cov[0] = Var(y) | |
634 | // cov[1] = Cov(yz) | |
635 | // cov[2] = Var(z) | |
636 | // | |
637 | // Details | |
638 | // | |
639 | // For the linear transformation | |
640 | // BEGIN_LATEX | |
641 | // Y = T_{x} X^{T} | |
642 | // END_LATEX | |
643 | // The error propagation has the general form | |
644 | // BEGIN_LATEX | |
645 | // C_{Y} = T_{x} C_{X} T_{x}^{T} | |
646 | // END_LATEX | |
647 | // We apply this formula 2 times. First to calculate the covariance of the tracklet | |
648 | // at point x we consider: | |
649 | // BEGIN_LATEX | |
650 | // T_{x} = (1 x); X=(y0 dy/dx); C_{X}=#(){#splitline{Var(y0) Cov(y0, dy/dx)}{Cov(y0, dy/dx) Var(dy/dx)}} | |
651 | // END_LATEX | |
652 | // and secondly to take into account the tilt angle | |
653 | // BEGIN_LATEX | |
654 | // T_{#alpha} = #(){#splitline{cos(#alpha) __ sin(#alpha)}{-sin(#alpha) __ cos(#alpha)}}; X=(y z); C_{X}=#(){#splitline{Var(y) 0}{0 Var(z)}} | |
655 | // END_LATEX | |
656 | // | |
657 | // using simple trigonometrics one can write for this last case | |
658 | // BEGIN_LATEX | |
659 | // 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})}} | |
660 | // END_LATEX | |
661 | // which can be aproximated for small alphas (2 deg) with | |
662 | // BEGIN_LATEX | |
663 | // 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}}} | |
664 | // END_LATEX | |
665 | // | |
666 | // before applying the tilt rotation we also apply systematic uncertainties to the tracklet | |
667 | // position which can be tunned from outside via the AliTRDrecoParam::SetSysCovMatrix(). They might | |
668 | // account for extra misalignment/miscalibration uncertainties. | |
669 | // | |
670 | // Author : | |
671 | // Alex Bercuci <A.Bercuci@gsi.de> | |
672 | // Date : Jan 8th 2009 | |
673 | // | |
b1957d3c | 674 | |
675 | ||
d937ad7a | 676 | Double_t xr = fX0-x; |
677 | Double_t sy2 = fCov[0] +2.*xr*fCov[1] + xr*xr*fCov[2]; | |
b72f4eaf | 678 | Double_t sz2 = fS2Z; |
679 | //GetPadLength()*GetPadLength()/12.; | |
0906e73e | 680 | |
d937ad7a | 681 | // insert systematic uncertainties |
bb2db46c | 682 | if(fReconstructor){ |
683 | Double_t sys[15]; memset(sys, 0, 15*sizeof(Double_t)); | |
684 | fReconstructor->GetRecoParam()->GetSysCovMatrix(sys); | |
685 | sy2 += sys[0]; | |
686 | sz2 += sys[1]; | |
687 | } | |
d937ad7a | 688 | // rotate covariance matrix |
dd8059a8 | 689 | Double_t t2 = GetTilt()*GetTilt(); |
d937ad7a | 690 | Double_t correction = 1./(1. + t2); |
691 | cov[0] = (sy2+t2*sz2)*correction; | |
dd8059a8 | 692 | cov[1] = GetTilt()*(sz2 - sy2)*correction; |
d937ad7a | 693 | cov[2] = (t2*sy2+sz2)*correction; |
b72f4eaf | 694 | |
695 | //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 | 696 | } |
eb38ed55 | 697 | |
bb2db46c | 698 | //____________________________________________________________ |
699 | Double_t AliTRDseedV1::GetCovSqrt(Double_t *c, Double_t *d) | |
700 | { | |
701 | // Helper function to calculate the square root of the covariance matrix. | |
702 | // The input matrix is stored in the vector c and the result in the vector d. | |
41b7c7b6 | 703 | // Both arrays have to be initialized by the user with at least 3 elements. Return negative in case of failure. |
bb2db46c | 704 | // |
ec3f0161 | 705 | // For calculating the square root of the symmetric matrix c |
706 | // the following relation is used: | |
bb2db46c | 707 | // BEGIN_LATEX |
ec3f0161 | 708 | // C^{1/2} = VD^{1/2}V^{-1} |
bb2db46c | 709 | // END_LATEX |
41b7c7b6 | 710 | // with V being the matrix with the n eigenvectors as columns. |
ec3f0161 | 711 | // In case C is symmetric the followings are true: |
712 | // - matrix D is diagonal with the diagonal given by the eigenvalues of C | |
41b7c7b6 | 713 | // - V = V^{-1} |
bb2db46c | 714 | // |
715 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
716 | // Date Mar 19 2009 | |
717 | ||
41b7c7b6 | 718 | Double_t L[2], // eigenvalues |
719 | V[3]; // eigenvectors | |
bb2db46c | 720 | // the secular equation and its solution : |
721 | // (c[0]-L)(c[2]-L)-c[1]^2 = 0 | |
722 | // L^2 - L*Tr(c)+DET(c) = 0 | |
723 | // L12 = [Tr(c) +- sqrt(Tr(c)^2-4*DET(c))]/2 | |
724 | Double_t Tr = c[0]+c[2], // trace | |
725 | DET = c[0]*c[2]-c[1]*c[1]; // determinant | |
41b7c7b6 | 726 | if(TMath::Abs(DET)<1.e-20) return -1.; |
bb2db46c | 727 | Double_t DD = TMath::Sqrt(Tr*Tr - 4*DET); |
728 | L[0] = .5*(Tr + DD); | |
729 | L[1] = .5*(Tr - DD); | |
41b7c7b6 | 730 | if(L[0]<0. || L[1]<0.) return -1.; |
731 | ||
732 | // the sym V matrix | |
733 | // | v00 v10| | |
734 | // | v10 v11| | |
735 | Double_t tmp = (L[0]-c[0])/c[1]; | |
736 | V[0] = TMath::Sqrt(1./(tmp*tmp+1)); | |
737 | V[1] = tmp*V[0]; | |
738 | V[2] = V[1]*c[1]/(L[1]-c[2]); | |
739 | // the VD^{1/2}V is: | |
740 | L[0] = TMath::Sqrt(L[0]); L[1] = TMath::Sqrt(L[1]); | |
741 | d[0] = V[0]*V[0]*L[0]+V[1]*V[1]*L[1]; | |
742 | d[1] = V[0]*V[1]*L[0]+V[1]*V[2]*L[1]; | |
743 | d[2] = V[1]*V[1]*L[0]+V[2]*V[2]*L[1]; | |
bb2db46c | 744 | |
745 | return 1.; | |
746 | } | |
747 | ||
748 | //____________________________________________________________ | |
749 | Double_t AliTRDseedV1::GetCovInv(Double_t *c, Double_t *d) | |
750 | { | |
751 | // Helper function to calculate the inverse of the covariance matrix. | |
752 | // The input matrix is stored in the vector c and the result in the vector d. | |
753 | // Both arrays have to be initialized by the user with at least 3 elements | |
754 | // The return value is the determinant or 0 in case of singularity. | |
755 | // | |
756 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
757 | // Date Mar 19 2009 | |
758 | ||
759 | Double_t Det = c[0]*c[2] - c[1]*c[1]; | |
760 | if(TMath::Abs(Det)<1.e-20) return 0.; | |
761 | Double_t InvDet = 1./Det; | |
762 | d[0] = c[2]*InvDet; | |
763 | d[1] =-c[1]*InvDet; | |
764 | d[2] = c[0]*InvDet; | |
765 | return Det; | |
766 | } | |
0906e73e | 767 | |
b72f4eaf | 768 | //____________________________________________________________________ |
769 | UShort_t AliTRDseedV1::GetVolumeId() const | |
770 | { | |
771 | Int_t ic=0; | |
772 | while(ic<kNclusters && !fClusters[ic]) ic++; | |
773 | return fClusters[ic] ? fClusters[ic]->GetVolumeId() : 0; | |
774 | } | |
775 | ||
f301a656 | 776 | //____________________________________________________________________ |
777 | TLinearFitter* AliTRDseedV1::GetFitterY() | |
778 | { | |
779 | if(!fgFitterY) fgFitterY = new TLinearFitter(1, "pol1"); | |
780 | fgFitterY->ClearPoints(); | |
781 | return fgFitterY; | |
782 | } | |
783 | ||
784 | //____________________________________________________________________ | |
785 | TLinearFitter* AliTRDseedV1::GetFitterZ() | |
786 | { | |
787 | if(!fgFitterZ) fgFitterZ = new TLinearFitter(1, "pol1"); | |
788 | fgFitterZ->ClearPoints(); | |
789 | return fgFitterZ; | |
790 | } | |
b72f4eaf | 791 | |
d937ad7a | 792 | //____________________________________________________________________ |
e3cf3d02 | 793 | void AliTRDseedV1::Calibrate() |
d937ad7a | 794 | { |
e3cf3d02 | 795 | // Retrieve calibration and position parameters from OCDB. |
796 | // The following information are used | |
d937ad7a | 797 | // - detector index |
e3cf3d02 | 798 | // - column and row position of first attached cluster. If no clusters are attached |
799 | // to the tracklet a random central chamber position (c=70, r=7) will be used. | |
800 | // | |
801 | // The following information is cached in the tracklet | |
802 | // t0 (trigger delay) | |
803 | // drift velocity | |
804 | // PRF width | |
805 | // omega*tau = tg(a_L) | |
806 | // diffusion coefficients (longitudinal and transversal) | |
d937ad7a | 807 | // |
808 | // Author : | |
809 | // Alex Bercuci <A.Bercuci@gsi.de> | |
810 | // Date : Jan 8th 2009 | |
811 | // | |
eb38ed55 | 812 | |
d937ad7a | 813 | AliCDBManager *cdb = AliCDBManager::Instance(); |
814 | if(cdb->GetRun() < 0){ | |
815 | AliError("OCDB manager not properly initialized"); | |
816 | return; | |
817 | } | |
0906e73e | 818 | |
e3cf3d02 | 819 | AliTRDcalibDB *calib = AliTRDcalibDB::Instance(); |
820 | AliTRDCalROC *vdROC = calib->GetVdriftROC(fDet), | |
821 | *t0ROC = calib->GetT0ROC(fDet);; | |
822 | const AliTRDCalDet *vdDet = calib->GetVdriftDet(); | |
823 | const AliTRDCalDet *t0Det = calib->GetT0Det(); | |
d937ad7a | 824 | |
825 | Int_t col = 70, row = 7; | |
826 | AliTRDcluster **c = &fClusters[0]; | |
3e778975 | 827 | if(GetN()){ |
d937ad7a | 828 | Int_t ic = 0; |
8d2bec9e | 829 | while (ic<kNclusters && !(*c)){ic++; c++;} |
d937ad7a | 830 | if(*c){ |
831 | col = (*c)->GetPadCol(); | |
832 | row = (*c)->GetPadRow(); | |
833 | } | |
834 | } | |
3a039a31 | 835 | |
e3cf3d02 | 836 | fT0 = t0Det->GetValue(fDet) + t0ROC->GetValue(col,row); |
837 | fVD = vdDet->GetValue(fDet) * vdROC->GetValue(col, row); | |
838 | fS2PRF = calib->GetPRFWidth(fDet, col, row); fS2PRF *= fS2PRF; | |
839 | fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVD); | |
840 | AliTRDCommonParam::Instance()->GetDiffCoeff(fDiffL, | |
841 | fDiffT, fVD); | |
842 | SetBit(kCalib, kTRUE); | |
0906e73e | 843 | } |
844 | ||
0906e73e | 845 | //____________________________________________________________________ |
29b87567 | 846 | void AliTRDseedV1::SetOwner() |
0906e73e | 847 | { |
29b87567 | 848 | //AliInfo(Form("own [%s] fOwner[%s]", own?"YES":"NO", fOwner?"YES":"NO")); |
849 | ||
850 | if(TestBit(kOwner)) return; | |
8d2bec9e | 851 | for(int ic=0; ic<kNclusters; ic++){ |
29b87567 | 852 | if(!fClusters[ic]) continue; |
853 | fClusters[ic] = new AliTRDcluster(*fClusters[ic]); | |
854 | } | |
855 | SetBit(kOwner); | |
0906e73e | 856 | } |
857 | ||
eb2b4f91 | 858 | //____________________________________________________________ |
859 | void AliTRDseedV1::SetPadPlane(AliTRDpadPlane *p) | |
860 | { | |
861 | // Shortcut method to initialize pad geometry. | |
862 | if(!p) return; | |
863 | SetTilt(TMath::Tan(TMath::DegToRad()*p->GetTiltingAngle())); | |
864 | SetPadLength(p->GetLengthIPad()); | |
865 | SetPadWidth(p->GetWidthIPad()); | |
866 | } | |
867 | ||
868 | ||
e4f2f73d | 869 | //____________________________________________________________________ |
b1957d3c | 870 | Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *chamber, Bool_t tilt) |
e4f2f73d | 871 | { |
1fd9389f | 872 | // |
873 | // Projective algorithm to attach clusters to seeding tracklets. The following steps are performed : | |
874 | // 1. Collapse x coordinate for the full detector plane | |
875 | // 2. truncated mean on y (r-phi) direction | |
876 | // 3. purge clusters | |
877 | // 4. truncated mean on z direction | |
878 | // 5. purge clusters | |
879 | // | |
880 | // Parameters | |
881 | // - chamber : pointer to tracking chamber container used to search the tracklet | |
882 | // - tilt : switch for tilt correction during road building [default true] | |
883 | // Output | |
884 | // - true : if tracklet found successfully. Failure can happend because of the following: | |
885 | // - | |
886 | // Detailed description | |
887 | // | |
888 | // We start up by defining the track direction in the xy plane and roads. The roads are calculated based | |
8a7ff53c | 889 | // on tracking information (variance in the r-phi direction) and estimated variance of the standard |
890 | // clusters (see AliTRDcluster::SetSigmaY2()) corrected for tilt (see GetCovAt()). From this the road is | |
891 | // BEGIN_LATEX | |
500851ab | 892 | // 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 | 893 | // r_{z} = 1.5*L_{pad} |
894 | // END_LATEX | |
1fd9389f | 895 | // |
4b755889 | 896 | // Author : Alexandru Bercuci <A.Bercuci@gsi.de> |
897 | // Debug : level >3 | |
1fd9389f | 898 | |
b1957d3c | 899 | Bool_t kPRINT = kFALSE; |
29b87567 | 900 | if(!fReconstructor->GetRecoParam() ){ |
901 | AliError("Seed can not be used without a valid RecoParam."); | |
902 | return kFALSE; | |
903 | } | |
b1957d3c | 904 | // Initialize reco params for this tracklet |
905 | // 1. first time bin in the drift region | |
a2abcbc5 | 906 | Int_t t0 = 14; |
b1957d3c | 907 | Int_t kClmin = Int_t(fReconstructor->GetRecoParam() ->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins()); |
29b87567 | 908 | |
6e39bde4 | 909 | Double_t sysCov[5]; fReconstructor->GetRecoParam()->GetSysCovMatrix(sysCov); |
8a7ff53c | 910 | Double_t s2yTrk= fRefCov[0], |
911 | s2yCl = 0., | |
912 | s2zCl = GetPadLength()*GetPadLength()/12., | |
913 | syRef = TMath::Sqrt(s2yTrk), | |
914 | t2 = GetTilt()*GetTilt(); | |
29b87567 | 915 | //define roads |
8a7ff53c | 916 | Double_t kroady = 1., //fReconstructor->GetRecoParam() ->GetRoad1y(); |
917 | kroadz = GetPadLength() * 1.5 + 1.; | |
918 | // define probing cluster (the perfect cluster) and default calibration | |
919 | Short_t sig[] = {0, 0, 10, 30, 10, 0,0}; | |
920 | AliTRDcluster cp(fDet, 6, 75, 0, sig, 0); | |
d07eec70 | 921 | if(fReconstructor->IsHLT())cp.SetRPhiMethod(AliTRDcluster::kCOG); |
8a7ff53c | 922 | Calibrate(); |
923 | ||
b1957d3c | 924 | if(kPRINT) printf("AttachClusters() sy[%f] road[%f]\n", syRef, kroady); |
29b87567 | 925 | |
926 | // working variables | |
b1957d3c | 927 | const Int_t kNrows = 16; |
4b755889 | 928 | const Int_t kNcls = 3*kNclusters; // buffer size |
929 | AliTRDcluster *clst[kNrows][kNcls]; | |
930 | Double_t cond[4], dx, dy, yt, zt, yres[kNrows][kNcls]; | |
931 | Int_t idxs[kNrows][kNcls], ncl[kNrows], ncls = 0; | |
b1957d3c | 932 | memset(ncl, 0, kNrows*sizeof(Int_t)); |
4b755889 | 933 | memset(yres, 0, kNrows*kNcls*sizeof(Double_t)); |
934 | memset(clst, 0, kNrows*kNcls*sizeof(AliTRDcluster*)); | |
b1957d3c | 935 | |
29b87567 | 936 | // Do cluster projection |
b1957d3c | 937 | AliTRDcluster *c = 0x0; |
29b87567 | 938 | AliTRDchamberTimeBin *layer = 0x0; |
b1957d3c | 939 | Bool_t kBUFFER = kFALSE; |
4b755889 | 940 | for (Int_t it = 0; it < kNtb; it++) { |
b1957d3c | 941 | if(!(layer = chamber->GetTB(it))) continue; |
29b87567 | 942 | if(!Int_t(*layer)) continue; |
8a7ff53c | 943 | // get track projection at layers position |
b1957d3c | 944 | dx = fX0 - layer->GetX(); |
945 | yt = fYref[0] - fYref[1] * dx; | |
946 | zt = fZref[0] - fZref[1] * dx; | |
8a7ff53c | 947 | // get standard cluster error corrected for tilt |
948 | cp.SetLocalTimeBin(it); | |
949 | cp.SetSigmaY2(0.02, fDiffT, fExB, dx, -1./*zt*/, fYref[1]); | |
6e39bde4 | 950 | s2yCl = (cp.GetSigmaY2() + sysCov[0] + t2*s2zCl)/(1.+t2); |
8a7ff53c | 951 | // get estimated road |
952 | kroady = 3.*TMath::Sqrt(12.*(s2yTrk + s2yCl)); | |
953 | ||
954 | 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 | 955 | |
8a7ff53c | 956 | // select clusters |
b1957d3c | 957 | cond[0] = yt; cond[2] = kroady; |
958 | cond[1] = zt; cond[3] = kroadz; | |
959 | Int_t n=0, idx[6]; | |
960 | layer->GetClusters(cond, idx, n, 6); | |
961 | for(Int_t ic = n; ic--;){ | |
962 | c = (*layer)[idx[ic]]; | |
963 | dy = yt - c->GetY(); | |
dd8059a8 | 964 | dy += tilt ? GetTilt() * (c->GetZ() - zt) : 0.; |
b1957d3c | 965 | // select clusters on a 3 sigmaKalman level |
966 | /* if(tilt && TMath::Abs(dy) > 3.*syRef){ | |
967 | printf("too large !!!\n"); | |
968 | continue; | |
969 | }*/ | |
970 | Int_t r = c->GetPadRow(); | |
971 | if(kPRINT) printf("\t\t%d dy[%f] yc[%f] r[%d]\n", ic, TMath::Abs(dy), c->GetY(), r); | |
972 | clst[r][ncl[r]] = c; | |
973 | idxs[r][ncl[r]] = idx[ic]; | |
974 | yres[r][ncl[r]] = dy; | |
975 | ncl[r]++; ncls++; | |
976 | ||
4b755889 | 977 | if(ncl[r] >= kNcls) { |
978 | AliWarning(Form("Cluster candidates reached buffer limit %d. Some may be lost.", kNcls)); | |
b1957d3c | 979 | kBUFFER = kTRUE; |
29b87567 | 980 | break; |
981 | } | |
982 | } | |
b1957d3c | 983 | if(kBUFFER) break; |
29b87567 | 984 | } |
b1957d3c | 985 | if(kPRINT) printf("Found %d clusters\n", ncls); |
986 | if(ncls<kClmin) return kFALSE; | |
987 | ||
988 | // analyze each row individualy | |
989 | Double_t mean, syDis; | |
990 | Int_t nrow[] = {0, 0, 0}, nr = 0, lr=-1; | |
991 | for(Int_t ir=kNrows; ir--;){ | |
992 | if(!(ncl[ir])) continue; | |
993 | if(lr>0 && lr-ir != 1){ | |
994 | if(kPRINT) printf("W - gap in rows attached !!\n"); | |
29b87567 | 995 | } |
b1957d3c | 996 | if(kPRINT) printf("\tir[%d] lr[%d] n[%d]\n", ir, lr, ncl[ir]); |
997 | // Evaluate truncated mean on the y direction | |
998 | if(ncl[ir] > 3) AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean, syDis, Int_t(ncl[ir]*.8)); | |
999 | else { | |
1000 | mean = 0.; syDis = 0.; | |
8a7ff53c | 1001 | continue; |
b1957d3c | 1002 | } |
1003 | ||
4b755889 | 1004 | if(fReconstructor->GetStreamLevel(AliTRDReconstructor::kTracker) > 3){ |
1005 | TTreeSRedirector &cstreamer = *fReconstructor->GetDebugStream(AliTRDReconstructor::kTracker); | |
bb5265c9 | 1006 | TVectorD vdy(ncl[ir], yres[ir]); |
21a6e3ac | 1007 | UChar_t stat(0); |
1008 | if(IsKink()) SETBIT(stat, 0); | |
1009 | if(IsStandAlone()) SETBIT(stat, 1); | |
4b755889 | 1010 | cstreamer << "AttachClusters" |
21a6e3ac | 1011 | << "stat=" << stat |
1012 | << "det=" << fDet | |
1013 | << "pt=" << fPt | |
1014 | << "s2y=" << s2yTrk | |
bb5265c9 | 1015 | << "dy=" << &vdy |
21a6e3ac | 1016 | << "m=" << mean |
1017 | << "s=" << syDis | |
4b755889 | 1018 | << "\n"; |
1019 | } | |
1020 | ||
b1957d3c | 1021 | // TODO check mean and sigma agains cluster resolution !! |
8a7ff53c | 1022 | if(kPRINT) printf("\tr[%2d] m[%f %5.3fsigma] s[%f]\n", ir, mean, TMath::Abs(mean/syDis), syDis); |
b1957d3c | 1023 | // select clusters on a 3 sigmaDistr level |
1024 | Bool_t kFOUND = kFALSE; | |
1025 | for(Int_t ic = ncl[ir]; ic--;){ | |
1026 | if(yres[ir][ic] - mean > 3. * syDis){ | |
1027 | clst[ir][ic] = 0x0; continue; | |
1028 | } | |
1029 | nrow[nr]++; kFOUND = kTRUE; | |
1030 | } | |
1031 | // exit loop | |
1032 | if(kFOUND) nr++; | |
1033 | lr = ir; if(nr>=3) break; | |
29b87567 | 1034 | } |
b1957d3c | 1035 | 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]); |
1036 | ||
1037 | // classify cluster rows | |
1038 | Int_t row = -1; | |
1039 | switch(nr){ | |
1040 | case 1: | |
1041 | row = lr; | |
1042 | break; | |
1043 | case 2: | |
1044 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
1045 | if(nrow[0] > nrow[1]){ row = lr+1; lr = -1;} | |
1046 | else{ | |
1047 | row = lr; lr = 1; | |
1048 | nrow[2] = nrow[1]; | |
1049 | nrow[1] = nrow[0]; | |
1050 | nrow[0] = nrow[2]; | |
29b87567 | 1051 | } |
b1957d3c | 1052 | break; |
1053 | case 3: | |
1054 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
1055 | break; | |
29b87567 | 1056 | } |
b1957d3c | 1057 | if(kPRINT) printf("\trow[%d] n[%d]\n\n", row, nrow[0]); |
1058 | if(row<0) return kFALSE; | |
29b87567 | 1059 | |
b1957d3c | 1060 | // Select and store clusters |
1061 | // We should consider here : | |
1062 | // 1. How far is the chamber boundary | |
1063 | // 2. How big is the mean | |
3e778975 | 1064 | Int_t n = 0; |
b1957d3c | 1065 | for (Int_t ir = 0; ir < nr; ir++) { |
1066 | Int_t jr = row + ir*lr; | |
1067 | if(kPRINT) printf("\tattach %d clusters for row %d\n", ncl[jr], jr); | |
1068 | for (Int_t ic = 0; ic < ncl[jr]; ic++) { | |
1069 | if(!(c = clst[jr][ic])) continue; | |
1070 | Int_t it = c->GetPadTime(); | |
1071 | // TODO proper indexing of clusters !! | |
e3cf3d02 | 1072 | fIndexes[it+kNtb*ir] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]); |
1073 | fClusters[it+kNtb*ir] = c; | |
29b87567 | 1074 | |
b1957d3c | 1075 | //printf("\tid[%2d] it[%d] idx[%d]\n", ic, it, fIndexes[it]); |
1076 | ||
3e778975 | 1077 | n++; |
b1957d3c | 1078 | } |
1079 | } | |
1080 | ||
29b87567 | 1081 | // number of minimum numbers of clusters expected for the tracklet |
3e778975 | 1082 | if (n < kClmin){ |
1083 | //AliWarning(Form("Not enough clusters to fit the tracklet %d [%d].", n, kClmin)); | |
e4f2f73d | 1084 | return kFALSE; |
1085 | } | |
3e778975 | 1086 | SetN(n); |
0906e73e | 1087 | |
e3cf3d02 | 1088 | // Load calibration parameters for this tracklet |
1089 | Calibrate(); | |
b1957d3c | 1090 | |
1091 | // calculate dx for time bins in the drift region (calibration aware) | |
a2abcbc5 | 1092 | Float_t x[2] = {0.,0.}; Int_t tb[2]={0,0}; |
1093 | for (Int_t it = t0, irp=0; irp<2 && it < AliTRDtrackerV1::GetNTimeBins(); it++) { | |
b1957d3c | 1094 | if(!fClusters[it]) continue; |
1095 | x[irp] = fClusters[it]->GetX(); | |
a2abcbc5 | 1096 | tb[irp] = fClusters[it]->GetLocalTimeBin(); |
b1957d3c | 1097 | irp++; |
e3cf3d02 | 1098 | } |
d86ed84c | 1099 | Int_t dtb = tb[1] - tb[0]; |
1100 | fdX = dtb ? (x[0] - x[1]) / dtb : 0.15; | |
29b87567 | 1101 | return kTRUE; |
e4f2f73d | 1102 | } |
1103 | ||
03cef9b2 | 1104 | //____________________________________________________________ |
1105 | void AliTRDseedV1::Bootstrap(const AliTRDReconstructor *rec) | |
1106 | { | |
1107 | // Fill in all derived information. It has to be called after recovery from file or HLT. | |
1108 | // The primitive data are | |
1109 | // - list of clusters | |
1110 | // - detector (as the detector will be removed from clusters) | |
1111 | // - position of anode wire (fX0) - temporary | |
1112 | // - track reference position and direction | |
1113 | // - momentum of the track | |
1114 | // - time bin length [cm] | |
1115 | // | |
1116 | // A.Bercuci <A.Bercuci@gsi.de> Oct 30th 2008 | |
1117 | // | |
1118 | fReconstructor = rec; | |
1119 | AliTRDgeometry g; | |
1120 | AliTRDpadPlane *pp = g.GetPadPlane(fDet); | |
dd8059a8 | 1121 | fPad[0] = pp->GetLengthIPad(); |
1122 | fPad[1] = pp->GetWidthIPad(); | |
1123 | fPad[3] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle()); | |
e3cf3d02 | 1124 | //fSnp = fYref[1]/TMath::Sqrt(1+fYref[1]*fYref[1]); |
1125 | //fTgl = fZref[1]; | |
3e778975 | 1126 | Int_t n = 0, nshare = 0, nused = 0; |
03cef9b2 | 1127 | AliTRDcluster **cit = &fClusters[0]; |
8d2bec9e | 1128 | for(Int_t ic = kNclusters; ic--; cit++){ |
03cef9b2 | 1129 | if(!(*cit)) return; |
3e778975 | 1130 | n++; |
1131 | if((*cit)->IsShared()) nshare++; | |
1132 | if((*cit)->IsUsed()) nused++; | |
03cef9b2 | 1133 | } |
3e778975 | 1134 | SetN(n); SetNUsed(nused); SetNShared(nshare); |
e3cf3d02 | 1135 | Fit(); |
03cef9b2 | 1136 | CookLabels(); |
1137 | GetProbability(); | |
1138 | } | |
1139 | ||
1140 | ||
e4f2f73d | 1141 | //____________________________________________________________________ |
b72f4eaf | 1142 | Bool_t AliTRDseedV1::Fit(Bool_t tilt, Bool_t zcorr) |
e4f2f73d | 1143 | { |
16cca13f | 1144 | // |
1145 | // Linear fit of the clusters attached to the tracklet | |
1146 | // | |
1147 | // Parameters : | |
1148 | // - tilt : switch for tilt pad correction of cluster y position based on | |
1149 | // the z, dzdx info from outside [default false]. | |
1150 | // - zcorr : switch for using z information to correct for anisochronity | |
1fd9389f | 1151 | // and a finner error parameterization estimation [default false] |
16cca13f | 1152 | // Output : |
1153 | // True if successful | |
1154 | // | |
1155 | // Detailed description | |
1156 | // | |
1157 | // Fit in the xy plane | |
1158 | // | |
1fd9389f | 1159 | // The fit is performed to estimate the y position of the tracklet and the track |
1160 | // angle in the bending plane. The clusters are represented in the chamber coordinate | |
1161 | // system (with respect to the anode wire - see AliTRDtrackerV1::FollowBackProlongation() | |
1162 | // on how this is set). The x and y position of the cluster and also their variances | |
1163 | // are known from clusterizer level (see AliTRDcluster::GetXloc(), AliTRDcluster::GetYloc(), | |
1164 | // AliTRDcluster::GetSX() and AliTRDcluster::GetSY()). | |
1165 | // If gaussian approximation is used to calculate y coordinate of the cluster the position | |
1166 | // is recalculated taking into account the track angle. The general formula to calculate the | |
1167 | // error of cluster position in the gaussian approximation taking into account diffusion and track | |
1168 | // inclination is given for TRD by: | |
1169 | // BEGIN_LATEX | |
1170 | // #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} | |
1171 | // END_LATEX | |
1172 | // | |
1173 | // Since errors are calculated only in the y directions, radial errors (x direction) are mapped to y | |
1174 | // by projection i.e. | |
1175 | // BEGIN_LATEX | |
1176 | // #sigma_{x|y} = tg(#phi) #sigma_{x} | |
1177 | // END_LATEX | |
1178 | // and also by the lorentz angle correction | |
1179 | // | |
1180 | // Fit in the xz plane | |
1181 | // | |
1182 | // The "fit" is performed to estimate the radial position (x direction) where pad row cross happens. | |
1183 | // If no pad row crossing the z position is taken from geometry and radial position is taken from the xy | |
1184 | // fit (see below). | |
1185 | // | |
1186 | // There are two methods to estimate the radial position of the pad row cross: | |
1187 | // 1. leading cluster radial position : Here the lower part of the tracklet is considered and the last | |
1188 | // cluster registered (at radial x0) on this segment is chosen to mark the pad row crossing. The error | |
1189 | // of the z estimate is given by : | |
1190 | // BEGIN_LATEX | |
1191 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1192 | // END_LATEX | |
1193 | // The systematic errors for this estimation are generated by the following sources: | |
1194 | // - no charge sharing between pad rows is considered (sharp cross) | |
1195 | // - missing cluster at row cross (noise peak-up, under-threshold signal etc.). | |
1196 | // | |
1197 | // 2. charge fit over the crossing point : Here the full energy deposit along the tracklet is considered | |
1198 | // to estimate the position of the crossing by a fit in the qx plane. The errors in the q directions are | |
1199 | // parameterized as s_q = q^2. The systematic errors for this estimation are generated by the following sources: | |
1200 | // - no general model for the qx dependence | |
1201 | // - physical fluctuations of the charge deposit | |
1202 | // - gain calibration dependence | |
1203 | // | |
1204 | // Estimation of the radial position of the tracklet | |
16cca13f | 1205 | // |
1fd9389f | 1206 | // For pad row cross the radial position is taken from the xz fit (see above). Otherwise it is taken as the |
1207 | // interpolation point of the tracklet i.e. the point where the error in y of the fit is minimum. The error | |
1208 | // in the y direction of the tracklet is (see AliTRDseedV1::GetCovAt()): | |
1209 | // BEGIN_LATEX | |
1210 | // #sigma_{y} = #sigma^{2}_{y_{0}} + 2xcov(y_{0}, dy/dx) + #sigma^{2}_{dy/dx} | |
1211 | // END_LATEX | |
1212 | // and thus the radial position is: | |
1213 | // BEGIN_LATEX | |
1214 | // x = - cov(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} | |
1215 | // END_LATEX | |
1216 | // | |
1217 | // Estimation of tracklet position error | |
1218 | // | |
1219 | // The error in y direction is the error of the linear fit at the radial position of the tracklet while in the z | |
1220 | // direction is given by the cluster error or pad row cross error. In case of no pad row cross this is given by: | |
1221 | // BEGIN_LATEX | |
1222 | // #sigma_{y} = #sigma^{2}_{y_{0}} - 2cov^{2}(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} + #sigma^{2}_{dy/dx} | |
1223 | // #sigma_{z} = Pad_{length}/12 | |
1224 | // END_LATEX | |
1225 | // For pad row cross the full error is calculated at the radial position of the crossing (see above) and the error | |
1226 | // in z by the width of the crossing region - being a matter of parameterization. | |
1227 | // BEGIN_LATEX | |
1228 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1229 | // END_LATEX | |
1230 | // In case of no tilt correction (default in the barrel tracking) the tilt is taken into account by the rotation of | |
1231 | // the covariance matrix. See AliTRDseedV1::GetCovAt() for details. | |
1232 | // | |
1233 | // Author | |
1234 | // A.Bercuci <A.Bercuci@gsi.de> | |
e4f2f73d | 1235 | |
b72f4eaf | 1236 | if(!IsCalibrated()) Calibrate(); |
e3cf3d02 | 1237 | |
29b87567 | 1238 | const Int_t kClmin = 8; |
010d62b0 | 1239 | |
2f7d6ac8 | 1240 | // get track direction |
1241 | Double_t y0 = fYref[0]; | |
1242 | Double_t dydx = fYref[1]; | |
1243 | Double_t z0 = fZref[0]; | |
1244 | Double_t dzdx = fZref[1]; | |
1245 | Double_t yt, zt; | |
ae4e8b84 | 1246 | |
b1957d3c | 1247 | //AliTRDtrackerV1::AliTRDLeastSquare fitterZ; |
f301a656 | 1248 | TLinearFitter& fitterY=*GetFitterY(); |
1249 | TLinearFitter& fitterZ=*GetFitterZ(); | |
1250 | ||
29b87567 | 1251 | // book cluster information |
8d2bec9e | 1252 | Double_t qc[kNclusters], xc[kNclusters], yc[kNclusters], zc[kNclusters], sy[kNclusters]; |
e3cf3d02 | 1253 | |
dd8059a8 | 1254 | Int_t n = 0; |
9eb2d46c | 1255 | AliTRDcluster *c=0x0, **jc = &fClusters[0]; |
9eb2d46c | 1256 | for (Int_t ic=0; ic<kNtb; ic++, ++jc) { |
29b87567 | 1257 | xc[ic] = -1.; |
1258 | yc[ic] = 999.; | |
1259 | zc[ic] = 999.; | |
1260 | sy[ic] = 0.; | |
9eb2d46c | 1261 | if(!(c = (*jc))) continue; |
29b87567 | 1262 | if(!c->IsInChamber()) continue; |
9462866a | 1263 | |
29b87567 | 1264 | Float_t w = 1.; |
1265 | if(c->GetNPads()>4) w = .5; | |
1266 | if(c->GetNPads()>5) w = .2; | |
010d62b0 | 1267 | |
1fd9389f | 1268 | // cluster charge |
dd8059a8 | 1269 | qc[n] = TMath::Abs(c->GetQ()); |
1fd9389f | 1270 | // pad row of leading |
1271 | ||
b72f4eaf | 1272 | // Radial cluster position |
e3cf3d02 | 1273 | //Int_t jc = TMath::Max(fN-3, 0); |
1274 | //xc[fN] = c->GetXloc(fT0, fVD, &qc[jc], &xc[jc]/*, z0 - c->GetX()*dzdx*/); | |
b72f4eaf | 1275 | xc[n] = fX0 - c->GetX(); |
1276 | ||
1fd9389f | 1277 | // extrapolated track to cluster position |
dd8059a8 | 1278 | yt = y0 - xc[n]*dydx; |
dd8059a8 | 1279 | zt = z0 - xc[n]*dzdx; |
1fd9389f | 1280 | |
1281 | // Recalculate cluster error based on tracking information | |
1282 | c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?zt:-1., dydx); | |
1283 | sy[n] = TMath::Sqrt(c->GetSigmaY2()); | |
1284 | ||
1285 | yc[n] = fReconstructor->UseGAUS() ? | |
1286 | c->GetYloc(y0, sy[n], GetPadWidth()): c->GetY(); | |
1287 | zc[n] = c->GetZ(); | |
1288 | //optional tilt correction | |
1289 | if(tilt) yc[n] -= (GetTilt()*(zc[n] - zt)); | |
1290 | ||
1291 | fitterY.AddPoint(&xc[n], yc[n], TMath::Sqrt(sy[n])); | |
b72f4eaf | 1292 | fitterZ.AddPoint(&xc[n], qc[n], 1.); |
dd8059a8 | 1293 | n++; |
29b87567 | 1294 | } |
47d5d320 | 1295 | // to few clusters |
dd8059a8 | 1296 | if (n < kClmin) return kFALSE; |
2f7d6ac8 | 1297 | |
d937ad7a | 1298 | // fit XY |
2f7d6ac8 | 1299 | fitterY.Eval(); |
d937ad7a | 1300 | fYfit[0] = fitterY.GetParameter(0); |
1301 | fYfit[1] = -fitterY.GetParameter(1); | |
1302 | // store covariance | |
1303 | Double_t *p = fitterY.GetCovarianceMatrix(); | |
1304 | fCov[0] = p[0]; // variance of y0 | |
1305 | fCov[1] = p[1]; // covariance of y0, dydx | |
1306 | fCov[2] = p[3]; // variance of dydx | |
b1957d3c | 1307 | // the ref radial position is set at the minimum of |
1308 | // the y variance of the tracklet | |
b72f4eaf | 1309 | fX = -fCov[1]/fCov[2]; |
b1957d3c | 1310 | |
1311 | // fit XZ | |
b72f4eaf | 1312 | if(IsRowCross()){ |
e355f67a | 1313 | /* // THE LEADING CLUSTER METHOD |
1fd9389f | 1314 | Float_t xMin = fX0; |
b72f4eaf | 1315 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
1fd9389f | 1316 | AliTRDcluster *c0 =0x0, **kc = &fClusters[kNtb-1]; |
1317 | for(; ic>kNtb; ic--, --jc, --kc){ | |
1318 | if((c0 = (*kc)) && c0->IsInChamber() && (xMin>c0->GetX())) xMin = c0->GetX(); | |
1319 | if(!(c = (*jc))) continue; | |
1320 | if(!c->IsInChamber()) continue; | |
1321 | zc[kNclusters-1] = c->GetZ(); | |
1322 | fX = fX0 - c->GetX(); | |
1323 | } | |
1324 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
1325 | // Error parameterization | |
1326 | fS2Z = fdX*fZref[1]; | |
e355f67a | 1327 | fS2Z *= fS2Z; fS2Z *= 0.2887; // 1/sqrt(12)*/ |
1328 | ||
1fd9389f | 1329 | // THE FIT X-Q PLANE METHOD |
e355f67a | 1330 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
b72f4eaf | 1331 | for(; ic>kNtb; ic--, --jc){ |
1332 | if(!(c = (*jc))) continue; | |
1333 | if(!c->IsInChamber()) continue; | |
1334 | qc[n] = TMath::Abs(c->GetQ()); | |
1335 | xc[n] = fX0 - c->GetX(); | |
1336 | zc[n] = c->GetZ(); | |
1337 | fitterZ.AddPoint(&xc[n], -qc[n], 1.); | |
1338 | n--; | |
1339 | } | |
1340 | // fit XZ | |
1341 | fitterZ.Eval(); | |
1342 | if(fitterZ.GetParameter(1)!=0.){ | |
1343 | fX = -fitterZ.GetParameter(0)/fitterZ.GetParameter(1); | |
1344 | fX=(fX<0.)?0.:fX; | |
1345 | Float_t dl = .5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght(); | |
1346 | fX=(fX> dl)?dl:fX; | |
07bbc13c | 1347 | fX-=.055; // TODO to be understood |
b72f4eaf | 1348 | } |
1349 | ||
1350 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
c850c351 | 1351 | // temporary external error parameterization |
1352 | fS2Z = 0.05+0.4*TMath::Abs(fZref[1]); fS2Z *= fS2Z; | |
1353 | // TODO correct formula | |
1354 | //fS2Z = sigma_x*TMath::Abs(fZref[1]); | |
b1957d3c | 1355 | } else { |
1356 | fZfit[0] = zc[0]; fZfit[1] = 0.; | |
dd8059a8 | 1357 | fS2Z = GetPadLength()*GetPadLength()/12.; |
29b87567 | 1358 | } |
b72f4eaf | 1359 | fS2Y = fCov[0] +2.*fX*fCov[1] + fX*fX*fCov[2]; |
29b87567 | 1360 | return kTRUE; |
e4f2f73d | 1361 | } |
1362 | ||
e4f2f73d | 1363 | |
f29f13a6 | 1364 | /* |
e3cf3d02 | 1365 | //_____________________________________________________________________________ |
1366 | void AliTRDseedV1::FitMI() | |
1367 | { | |
1368 | // | |
1369 | // Fit the seed. | |
1370 | // Marian Ivanov's version | |
1371 | // | |
1372 | // linear fit on the y direction with respect to the reference direction. | |
1373 | // The residuals for each x (x = xc - x0) are deduced from: | |
1374 | // dy = y - yt (1) | |
1375 | // the tilting correction is written : | |
1376 | // y = yc + h*(zc-zt) (2) | |
1377 | // yt = y0+dy/dx*x (3) | |
1378 | // zt = z0+dz/dx*x (4) | |
1379 | // from (1),(2),(3) and (4) | |
1380 | // dy = yc - y0 - (dy/dx + h*dz/dx)*x + h*(zc-z0) | |
1381 | // the last term introduces the correction on y direction due to tilting pads. There are 2 ways to account for this: | |
1382 | // 1. use tilting correction for calculating the y | |
1383 | // 2. neglect tilting correction here and account for it in the error parametrization of the tracklet. | |
1384 | const Float_t kRatio = 0.8; | |
1385 | const Int_t kClmin = 5; | |
1386 | const Float_t kmaxtan = 2; | |
1387 | ||
1388 | if (TMath::Abs(fYref[1]) > kmaxtan){ | |
1389 | //printf("Exit: Abs(fYref[1]) = %3.3f, kmaxtan = %3.3f\n", TMath::Abs(fYref[1]), kmaxtan); | |
1390 | return; // Track inclined too much | |
1391 | } | |
1392 | ||
1393 | Float_t sigmaexp = 0.05 + TMath::Abs(fYref[1] * 0.25); // Expected r.m.s in y direction | |
dd8059a8 | 1394 | Float_t ycrosscor = GetPadLength() * GetTilt() * 0.5; // Y correction for crossing |
e3cf3d02 | 1395 | Int_t fNChange = 0; |
1396 | ||
1397 | Double_t sumw; | |
1398 | Double_t sumwx; | |
1399 | Double_t sumwx2; | |
1400 | Double_t sumwy; | |
1401 | Double_t sumwxy; | |
1402 | Double_t sumwz; | |
1403 | Double_t sumwxz; | |
1404 | ||
1405 | // Buffering: Leave it constant fot Performance issues | |
1406 | Int_t zints[kNtb]; // Histograming of the z coordinate | |
1407 | // Get 1 and second max probable coodinates in z | |
1408 | Int_t zouts[2*kNtb]; | |
1409 | Float_t allowedz[kNtb]; // Allowed z for given time bin | |
1410 | Float_t yres[kNtb]; // Residuals from reference | |
dd8059a8 | 1411 | //Float_t anglecor = GetTilt() * fZref[1]; // Correction to the angle |
e3cf3d02 | 1412 | |
1413 | Float_t pos[3*kNtb]; memset(pos, 0, 3*kNtb*sizeof(Float_t)); | |
1414 | Float_t *fX = &pos[0], *fY = &pos[kNtb], *fZ = &pos[2*kNtb]; | |
1415 | ||
1416 | Int_t fN = 0; AliTRDcluster *c = 0x0; | |
1417 | fN2 = 0; | |
1418 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1419 | yres[i] = 10000.0; | |
1420 | if (!(c = fClusters[i])) continue; | |
1421 | if(!c->IsInChamber()) continue; | |
1422 | // Residual y | |
dd8059a8 | 1423 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
e3cf3d02 | 1424 | fX[i] = fX0 - c->GetX(); |
1425 | fY[i] = c->GetY(); | |
1426 | fZ[i] = c->GetZ(); | |
dd8059a8 | 1427 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); |
e3cf3d02 | 1428 | zints[fN] = Int_t(fZ[i]); |
1429 | fN++; | |
1430 | } | |
1431 | ||
1432 | if (fN < kClmin){ | |
1433 | //printf("Exit fN < kClmin: fN = %d\n", fN); | |
1434 | return; | |
1435 | } | |
1436 | Int_t nz = AliTRDtrackerV1::Freq(fN, zints, zouts, kFALSE); | |
1437 | Float_t fZProb = zouts[0]; | |
1438 | if (nz <= 1) zouts[3] = 0; | |
1439 | if (zouts[1] + zouts[3] < kClmin) { | |
1440 | //printf("Exit zouts[1] = %d, zouts[3] = %d\n",zouts[1],zouts[3]); | |
1441 | return; | |
1442 | } | |
1443 | ||
1444 | // Z distance bigger than pad - length | |
1445 | if (TMath::Abs(zouts[0]-zouts[2]) > 12.0) zouts[3] = 0; | |
1446 | ||
1447 | Int_t breaktime = -1; | |
1448 | Bool_t mbefore = kFALSE; | |
1449 | Int_t cumul[kNtb][2]; | |
1450 | Int_t counts[2] = { 0, 0 }; | |
1451 | ||
1452 | if (zouts[3] >= 3) { | |
1453 | ||
1454 | // | |
1455 | // Find the break time allowing one chage on pad-rows | |
1456 | // with maximal number of accepted clusters | |
1457 | // | |
1458 | fNChange = 1; | |
1459 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1460 | cumul[i][0] = counts[0]; | |
1461 | cumul[i][1] = counts[1]; | |
1462 | if (TMath::Abs(fZ[i]-zouts[0]) < 2) counts[0]++; | |
1463 | if (TMath::Abs(fZ[i]-zouts[2]) < 2) counts[1]++; | |
1464 | } | |
1465 | Int_t maxcount = 0; | |
1466 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1467 | Int_t after = cumul[AliTRDtrackerV1::GetNTimeBins()][0] - cumul[i][0]; | |
1468 | Int_t before = cumul[i][1]; | |
1469 | if (after + before > maxcount) { | |
1470 | maxcount = after + before; | |
1471 | breaktime = i; | |
1472 | mbefore = kFALSE; | |
1473 | } | |
1474 | after = cumul[AliTRDtrackerV1::GetNTimeBins()-1][1] - cumul[i][1]; | |
1475 | before = cumul[i][0]; | |
1476 | if (after + before > maxcount) { | |
1477 | maxcount = after + before; | |
1478 | breaktime = i; | |
1479 | mbefore = kTRUE; | |
1480 | } | |
1481 | } | |
1482 | breaktime -= 1; | |
1483 | } | |
1484 | ||
1485 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1486 | if (i > breaktime) allowedz[i] = mbefore ? zouts[2] : zouts[0]; | |
1487 | if (i <= breaktime) allowedz[i] = (!mbefore) ? zouts[2] : zouts[0]; | |
1488 | } | |
1489 | ||
1490 | if (((allowedz[0] > allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] < 0)) || | |
1491 | ((allowedz[0] < allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] > 0))) { | |
1492 | // | |
1493 | // Tracklet z-direction not in correspondance with track z direction | |
1494 | // | |
1495 | fNChange = 0; | |
1496 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1497 | allowedz[i] = zouts[0]; // Only longest taken | |
1498 | } | |
1499 | } | |
1500 | ||
1501 | if (fNChange > 0) { | |
1502 | // | |
1503 | // Cross pad -row tracklet - take the step change into account | |
1504 | // | |
1505 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1506 | if (!fClusters[i]) continue; | |
1507 | if(!fClusters[i]->IsInChamber()) continue; | |
1508 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1509 | // Residual y | |
dd8059a8 | 1510 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
1511 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); | |
f29f13a6 | 1512 | // if (TMath::Abs(fZ[i] - fZProb) > 2) { |
dd8059a8 | 1513 | // if (fZ[i] > fZProb) yres[i] += GetTilt() * GetPadLength(); |
1514 | // if (fZ[i] < fZProb) yres[i] -= GetTilt() * GetPadLength(); | |
f29f13a6 | 1515 | } |
e3cf3d02 | 1516 | } |
1517 | } | |
1518 | ||
1519 | Double_t yres2[kNtb]; | |
1520 | Double_t mean; | |
1521 | Double_t sigma; | |
1522 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1523 | if (!fClusters[i]) continue; | |
1524 | if(!fClusters[i]->IsInChamber()) continue; | |
1525 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1526 | yres2[fN2] = yres[i]; | |
1527 | fN2++; | |
1528 | } | |
1529 | if (fN2 < kClmin) { | |
1530 | //printf("Exit fN2 < kClmin: fN2 = %d\n", fN2); | |
1531 | fN2 = 0; | |
1532 | return; | |
1533 | } | |
1534 | AliMathBase::EvaluateUni(fN2,yres2,mean,sigma, Int_t(fN2*kRatio-2.)); | |
1535 | if (sigma < sigmaexp * 0.8) { | |
1536 | sigma = sigmaexp; | |
1537 | } | |
1538 | //Float_t fSigmaY = sigma; | |
1539 | ||
1540 | // Reset sums | |
1541 | sumw = 0; | |
1542 | sumwx = 0; | |
1543 | sumwx2 = 0; | |
1544 | sumwy = 0; | |
1545 | sumwxy = 0; | |
1546 | sumwz = 0; | |
1547 | sumwxz = 0; | |
1548 | ||
1549 | fN2 = 0; | |
1550 | Float_t fMeanz = 0; | |
1551 | Float_t fMPads = 0; | |
1552 | fUsable = 0; | |
1553 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1554 | if (!fClusters[i]) continue; | |
1555 | if (!fClusters[i]->IsInChamber()) continue; | |
1556 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2){fClusters[i] = 0x0; continue;} | |
1557 | if (TMath::Abs(yres[i] - mean) > 4.0 * sigma){fClusters[i] = 0x0; continue;} | |
1558 | SETBIT(fUsable,i); | |
1559 | fN2++; | |
1560 | fMPads += fClusters[i]->GetNPads(); | |
1561 | Float_t weight = 1.0; | |
1562 | if (fClusters[i]->GetNPads() > 4) weight = 0.5; | |
1563 | if (fClusters[i]->GetNPads() > 5) weight = 0.2; | |
1564 | ||
1565 | ||
1566 | Double_t x = fX[i]; | |
1567 | //printf("x = %7.3f dy = %7.3f fit %7.3f\n", x, yres[i], fY[i]-yres[i]); | |
1568 | ||
1569 | sumw += weight; | |
1570 | sumwx += x * weight; | |
1571 | sumwx2 += x*x * weight; | |
1572 | sumwy += weight * yres[i]; | |
1573 | sumwxy += weight * (yres[i]) * x; | |
1574 | sumwz += weight * fZ[i]; | |
1575 | sumwxz += weight * fZ[i] * x; | |
1576 | ||
1577 | } | |
1578 | ||
1579 | if (fN2 < kClmin){ | |
1580 | //printf("Exit fN2 < kClmin(2): fN2 = %d\n",fN2); | |
1581 | fN2 = 0; | |
1582 | return; | |
1583 | } | |
1584 | fMeanz = sumwz / sumw; | |
1585 | Float_t correction = 0; | |
1586 | if (fNChange > 0) { | |
1587 | // Tracklet on boundary | |
1588 | if (fMeanz < fZProb) correction = ycrosscor; | |
1589 | if (fMeanz > fZProb) correction = -ycrosscor; | |
1590 | } | |
1591 | ||
1592 | Double_t det = sumw * sumwx2 - sumwx * sumwx; | |
1593 | fYfit[0] = (sumwx2 * sumwy - sumwx * sumwxy) / det; | |
1594 | fYfit[1] = (sumw * sumwxy - sumwx * sumwy) / det; | |
1595 | ||
1596 | fS2Y = 0; | |
1597 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1598 | if (!TESTBIT(fUsable,i)) continue; | |
1599 | Float_t delta = yres[i] - fYfit[0] - fYfit[1] * fX[i]; | |
1600 | fS2Y += delta*delta; | |
1601 | } | |
1602 | fS2Y = TMath::Sqrt(fS2Y / Float_t(fN2-2)); | |
1603 | // TEMPORARY UNTIL covariance properly calculated | |
1604 | fS2Y = TMath::Max(fS2Y, Float_t(.1)); | |
1605 | ||
1606 | fZfit[0] = (sumwx2 * sumwz - sumwx * sumwxz) / det; | |
1607 | fZfit[1] = (sumw * sumwxz - sumwx * sumwz) / det; | |
1608 | // fYfitR[0] += fYref[0] + correction; | |
1609 | // fYfitR[1] += fYref[1]; | |
1610 | // fYfit[0] = fYfitR[0]; | |
1611 | fYfit[1] = -fYfit[1]; | |
1612 | ||
1613 | UpdateUsed(); | |
f29f13a6 | 1614 | }*/ |
e3cf3d02 | 1615 | |
e4f2f73d | 1616 | //___________________________________________________________________ |
203967fc | 1617 | void AliTRDseedV1::Print(Option_t *o) const |
e4f2f73d | 1618 | { |
1619 | // | |
1620 | // Printing the seedstatus | |
1621 | // | |
1622 | ||
b72f4eaf | 1623 | AliInfo(Form("Det[%3d] X0[%7.2f] Pad{L[%5.2f] W[%5.2f] Tilt[%+6.2f]}", fDet, fX0, GetPadLength(), GetPadWidth(), GetTilt())); |
dd8059a8 | 1624 | AliInfo(Form("N[%2d] Nused[%2d] Nshared[%2d] [%d]", GetN(), GetNUsed(), GetNShared(), fN)); |
b72f4eaf | 1625 | AliInfo(Form("FLAGS : RC[%c] Kink[%c] SA[%c]", IsRowCross()?'y':'n', IsKink()?'y':'n', IsStandAlone()?'y':'n')); |
dd8059a8 | 1626 | |
1627 | Double_t cov[3], x=GetX(); | |
1628 | GetCovAt(x, cov); | |
1629 | AliInfo(" | x[cm] | y[cm] | z[cm] | dydx | dzdx |"); | |
1630 | 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 | 1631 | 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 | 1632 | |
1633 | ||
1634 | if(strcmp(o, "a")!=0) return; | |
1635 | ||
4dc4dc2e | 1636 | AliTRDcluster* const* jc = &fClusters[0]; |
8d2bec9e | 1637 | for(int ic=0; ic<kNclusters; ic++, jc++) { |
4dc4dc2e | 1638 | if(!(*jc)) continue; |
203967fc | 1639 | (*jc)->Print(o); |
4dc4dc2e | 1640 | } |
e4f2f73d | 1641 | } |
47d5d320 | 1642 | |
203967fc | 1643 | |
1644 | //___________________________________________________________________ | |
1645 | Bool_t AliTRDseedV1::IsEqual(const TObject *o) const | |
1646 | { | |
1647 | // Checks if current instance of the class has the same essential members | |
1648 | // as the given one | |
1649 | ||
1650 | if(!o) return kFALSE; | |
1651 | const AliTRDseedV1 *inTracklet = dynamic_cast<const AliTRDseedV1*>(o); | |
1652 | if(!inTracklet) return kFALSE; | |
1653 | ||
1654 | for (Int_t i = 0; i < 2; i++){ | |
e3cf3d02 | 1655 | if ( fYref[i] != inTracklet->fYref[i] ) return kFALSE; |
1656 | if ( fZref[i] != inTracklet->fZref[i] ) return kFALSE; | |
203967fc | 1657 | } |
1658 | ||
e3cf3d02 | 1659 | if ( fS2Y != inTracklet->fS2Y ) return kFALSE; |
dd8059a8 | 1660 | if ( GetTilt() != inTracklet->GetTilt() ) return kFALSE; |
1661 | if ( GetPadLength() != inTracklet->GetPadLength() ) return kFALSE; | |
203967fc | 1662 | |
8d2bec9e | 1663 | for (Int_t i = 0; i < kNclusters; i++){ |
e3cf3d02 | 1664 | // if ( fX[i] != inTracklet->GetX(i) ) return kFALSE; |
1665 | // if ( fY[i] != inTracklet->GetY(i) ) return kFALSE; | |
1666 | // if ( fZ[i] != inTracklet->GetZ(i) ) return kFALSE; | |
1667 | if ( fIndexes[i] != inTracklet->fIndexes[i] ) return kFALSE; | |
203967fc | 1668 | } |
f29f13a6 | 1669 | // if ( fUsable != inTracklet->fUsable ) return kFALSE; |
203967fc | 1670 | |
1671 | for (Int_t i=0; i < 2; i++){ | |
e3cf3d02 | 1672 | if ( fYfit[i] != inTracklet->fYfit[i] ) return kFALSE; |
1673 | if ( fZfit[i] != inTracklet->fZfit[i] ) return kFALSE; | |
1674 | if ( fLabels[i] != inTracklet->fLabels[i] ) return kFALSE; | |
203967fc | 1675 | } |
1676 | ||
e3cf3d02 | 1677 | /* if ( fMeanz != inTracklet->GetMeanz() ) return kFALSE; |
1678 | if ( fZProb != inTracklet->GetZProb() ) return kFALSE;*/ | |
3e778975 | 1679 | if ( fN != inTracklet->fN ) return kFALSE; |
1680 | //if ( fNUsed != inTracklet->fNUsed ) return kFALSE; | |
e3cf3d02 | 1681 | //if ( fFreq != inTracklet->GetFreq() ) return kFALSE; |
1682 | //if ( fNChange != inTracklet->GetNChange() ) return kFALSE; | |
203967fc | 1683 | |
e3cf3d02 | 1684 | if ( fC != inTracklet->fC ) return kFALSE; |
1685 | //if ( fCC != inTracklet->GetCC() ) return kFALSE; | |
1686 | if ( fChi2 != inTracklet->fChi2 ) return kFALSE; | |
203967fc | 1687 | // if ( fChi2Z != inTracklet->GetChi2Z() ) return kFALSE; |
1688 | ||
e3cf3d02 | 1689 | if ( fDet != inTracklet->fDet ) return kFALSE; |
b25a5e9e | 1690 | if ( fPt != inTracklet->fPt ) return kFALSE; |
e3cf3d02 | 1691 | if ( fdX != inTracklet->fdX ) return kFALSE; |
203967fc | 1692 | |
8d2bec9e | 1693 | for (Int_t iCluster = 0; iCluster < kNclusters; iCluster++){ |
203967fc | 1694 | AliTRDcluster *curCluster = fClusters[iCluster]; |
e3cf3d02 | 1695 | AliTRDcluster *inCluster = inTracklet->fClusters[iCluster]; |
203967fc | 1696 | if (curCluster && inCluster){ |
1697 | if (! curCluster->IsEqual(inCluster) ) { | |
1698 | curCluster->Print(); | |
1699 | inCluster->Print(); | |
1700 | return kFALSE; | |
1701 | } | |
1702 | } else { | |
1703 | // if one cluster exists, and corresponding | |
1704 | // in other tracklet doesn't - return kFALSE | |
1705 | if(curCluster || inCluster) return kFALSE; | |
1706 | } | |
1707 | } | |
1708 | return kTRUE; | |
1709 | } | |
5d401b45 | 1710 |