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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 | ||
4d6aee34 | 65 | TLinearFitter *AliTRDseedV1::fgFitterY = NULL; |
66 | TLinearFitter *AliTRDseedV1::fgFitterZ = NULL; | |
f301a656 | 67 | |
e4f2f73d | 68 | //____________________________________________________________________ |
ae4e8b84 | 69 | AliTRDseedV1::AliTRDseedV1(Int_t det) |
3e778975 | 70 | :AliTRDtrackletBase() |
4d6aee34 | 71 | ,fkReconstructor(NULL) |
72 | ,fClusterIter(NULL) | |
e3cf3d02 | 73 | ,fExB(0.) |
74 | ,fVD(0.) | |
75 | ,fT0(0.) | |
76 | ,fS2PRF(0.) | |
77 | ,fDiffL(0.) | |
78 | ,fDiffT(0.) | |
ae4e8b84 | 79 | ,fClusterIdx(0) |
7c3eecb8 | 80 | ,fErrorMsg(0) |
3e778975 | 81 | ,fN(0) |
ae4e8b84 | 82 | ,fDet(det) |
b25a5e9e | 83 | ,fPt(0.) |
bcb6fb78 | 84 | ,fdX(0.) |
e3cf3d02 | 85 | ,fX0(0.) |
86 | ,fX(0.) | |
87 | ,fY(0.) | |
88 | ,fZ(0.) | |
89 | ,fS2Y(0.) | |
90 | ,fS2Z(0.) | |
91 | ,fC(0.) | |
92 | ,fChi2(0.) | |
e4f2f73d | 93 | { |
94 | // | |
95 | // Constructor | |
96 | // | |
f301a656 | 97 | memset(fIndexes,0xFF,kNclusters*sizeof(fIndexes[0])); |
8d2bec9e | 98 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); |
dd8059a8 | 99 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 | 100 | fYref[0] = 0.; fYref[1] = 0.; |
101 | fZref[0] = 0.; fZref[1] = 0.; | |
102 | fYfit[0] = 0.; fYfit[1] = 0.; | |
103 | fZfit[0] = 0.; fZfit[1] = 0.; | |
8d2bec9e | 104 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
29b87567 | 105 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
e3cf3d02 | 106 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels |
107 | fLabels[2]=0; // number of different labels for tracklet | |
16cca13f | 108 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
d937ad7a | 109 | // covariance matrix [diagonal] |
110 | // default sy = 200um and sz = 2.3 cm | |
111 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; | |
f29f13a6 | 112 | SetStandAlone(kFALSE); |
e4f2f73d | 113 | } |
114 | ||
115 | //____________________________________________________________________ | |
0906e73e | 116 | AliTRDseedV1::AliTRDseedV1(const AliTRDseedV1 &ref) |
3e778975 | 117 | :AliTRDtrackletBase((AliTRDtrackletBase&)ref) |
4d6aee34 | 118 | ,fkReconstructor(NULL) |
119 | ,fClusterIter(NULL) | |
e3cf3d02 | 120 | ,fExB(0.) |
121 | ,fVD(0.) | |
122 | ,fT0(0.) | |
123 | ,fS2PRF(0.) | |
124 | ,fDiffL(0.) | |
125 | ,fDiffT(0.) | |
ae4e8b84 | 126 | ,fClusterIdx(0) |
7c3eecb8 | 127 | ,fErrorMsg(0) |
3e778975 | 128 | ,fN(0) |
e3cf3d02 | 129 | ,fDet(-1) |
b25a5e9e | 130 | ,fPt(0.) |
e3cf3d02 | 131 | ,fdX(0.) |
132 | ,fX0(0.) | |
133 | ,fX(0.) | |
134 | ,fY(0.) | |
135 | ,fZ(0.) | |
136 | ,fS2Y(0.) | |
137 | ,fS2Z(0.) | |
138 | ,fC(0.) | |
139 | ,fChi2(0.) | |
e4f2f73d | 140 | { |
141 | // | |
142 | // Copy Constructor performing a deep copy | |
143 | // | |
e3cf3d02 | 144 | if(this != &ref){ |
145 | ref.Copy(*this); | |
146 | } | |
29b87567 | 147 | SetBit(kOwner, kFALSE); |
f29f13a6 | 148 | SetStandAlone(ref.IsStandAlone()); |
fbb2ea06 | 149 | } |
d9950a5a | 150 | |
0906e73e | 151 | |
e4f2f73d | 152 | //____________________________________________________________________ |
153 | AliTRDseedV1& AliTRDseedV1::operator=(const AliTRDseedV1 &ref) | |
154 | { | |
155 | // | |
156 | // Assignment Operator using the copy function | |
157 | // | |
158 | ||
29b87567 | 159 | if(this != &ref){ |
160 | ref.Copy(*this); | |
161 | } | |
221ab7e0 | 162 | SetBit(kOwner, kFALSE); |
163 | ||
29b87567 | 164 | return *this; |
e4f2f73d | 165 | } |
166 | ||
167 | //____________________________________________________________________ | |
168 | AliTRDseedV1::~AliTRDseedV1() | |
169 | { | |
170 | // | |
171 | // Destructor. The RecoParam object belongs to the underlying tracker. | |
172 | // | |
173 | ||
29b87567 | 174 | //printf("I-AliTRDseedV1::~AliTRDseedV1() : Owner[%s]\n", IsOwner()?"YES":"NO"); |
e4f2f73d | 175 | |
e3cf3d02 | 176 | if(IsOwner()) { |
8d2bec9e | 177 | for(int itb=0; itb<kNclusters; itb++){ |
29b87567 | 178 | if(!fClusters[itb]) continue; |
179 | //AliInfo(Form("deleting c %p @ %d", fClusters[itb], itb)); | |
180 | delete fClusters[itb]; | |
4d6aee34 | 181 | fClusters[itb] = NULL; |
29b87567 | 182 | } |
e3cf3d02 | 183 | } |
e4f2f73d | 184 | } |
185 | ||
186 | //____________________________________________________________________ | |
187 | void AliTRDseedV1::Copy(TObject &ref) const | |
188 | { | |
189 | // | |
190 | // Copy function | |
191 | // | |
192 | ||
29b87567 | 193 | //AliInfo(""); |
194 | AliTRDseedV1 &target = (AliTRDseedV1 &)ref; | |
195 | ||
4d6aee34 | 196 | target.fkReconstructor = fkReconstructor; |
197 | target.fClusterIter = NULL; | |
e3cf3d02 | 198 | target.fExB = fExB; |
199 | target.fVD = fVD; | |
200 | target.fT0 = fT0; | |
201 | target.fS2PRF = fS2PRF; | |
202 | target.fDiffL = fDiffL; | |
203 | target.fDiffT = fDiffT; | |
ae4e8b84 | 204 | target.fClusterIdx = 0; |
7c3eecb8 | 205 | target.fErrorMsg = fErrorMsg; |
3e778975 | 206 | target.fN = fN; |
ae4e8b84 | 207 | target.fDet = fDet; |
b25a5e9e | 208 | target.fPt = fPt; |
29b87567 | 209 | target.fdX = fdX; |
e3cf3d02 | 210 | target.fX0 = fX0; |
211 | target.fX = fX; | |
212 | target.fY = fY; | |
213 | target.fZ = fZ; | |
214 | target.fS2Y = fS2Y; | |
215 | target.fS2Z = fS2Z; | |
216 | target.fC = fC; | |
217 | target.fChi2 = fChi2; | |
29b87567 | 218 | |
8d2bec9e | 219 | memcpy(target.fIndexes, fIndexes, kNclusters*sizeof(Int_t)); |
220 | memcpy(target.fClusters, fClusters, kNclusters*sizeof(AliTRDcluster*)); | |
dd8059a8 | 221 | memcpy(target.fPad, fPad, 3*sizeof(Float_t)); |
e3cf3d02 | 222 | target.fYref[0] = fYref[0]; target.fYref[1] = fYref[1]; |
223 | target.fZref[0] = fZref[0]; target.fZref[1] = fZref[1]; | |
224 | target.fYfit[0] = fYfit[0]; target.fYfit[1] = fYfit[1]; | |
225 | target.fZfit[0] = fZfit[0]; target.fZfit[1] = fZfit[1]; | |
8d2bec9e | 226 | memcpy(target.fdEdx, fdEdx, kNslices*sizeof(Float_t)); |
e3cf3d02 | 227 | memcpy(target.fProb, fProb, AliPID::kSPECIES*sizeof(Float_t)); |
228 | memcpy(target.fLabels, fLabels, 3*sizeof(Int_t)); | |
16cca13f | 229 | memcpy(target.fRefCov, fRefCov, 7*sizeof(Double_t)); |
e3cf3d02 | 230 | memcpy(target.fCov, fCov, 3*sizeof(Double_t)); |
29b87567 | 231 | |
e3cf3d02 | 232 | TObject::Copy(ref); |
e4f2f73d | 233 | } |
234 | ||
0906e73e | 235 | |
236 | //____________________________________________________________ | |
f3d3af1b | 237 | Bool_t AliTRDseedV1::Init(AliTRDtrackV1 *track) |
0906e73e | 238 | { |
239 | // Initialize this tracklet using the track information | |
240 | // | |
241 | // Parameters: | |
242 | // track - the TRD track used to initialize the tracklet | |
243 | // | |
244 | // Detailed description | |
245 | // The function sets the starting point and direction of the | |
246 | // tracklet according to the information from the TRD track. | |
247 | // | |
248 | // Caution | |
249 | // The TRD track has to be propagated to the beginning of the | |
250 | // chamber where the tracklet will be constructed | |
251 | // | |
252 | ||
29b87567 | 253 | Double_t y, z; |
254 | if(!track->GetProlongation(fX0, y, z)) return kFALSE; | |
16cca13f | 255 | Update(track); |
29b87567 | 256 | return kTRUE; |
0906e73e | 257 | } |
258 | ||
bcb6fb78 | 259 | |
e3cf3d02 | 260 | //_____________________________________________________________________________ |
261 | void AliTRDseedV1::Reset() | |
262 | { | |
263 | // | |
264 | // Reset seed | |
265 | // | |
266 | fExB=0.;fVD=0.;fT0=0.;fS2PRF=0.; | |
267 | fDiffL=0.;fDiffT=0.; | |
3e778975 | 268 | fClusterIdx=0; |
7c3eecb8 | 269 | fErrorMsg = 0; |
3e778975 | 270 | fN=0; |
dd8059a8 | 271 | fDet=-1; |
b25a5e9e | 272 | fPt=0.; |
e3cf3d02 | 273 | fdX=0.;fX0=0.; fX=0.; fY=0.; fZ=0.; |
274 | fS2Y=0.; fS2Z=0.; | |
275 | fC=0.; fChi2 = 0.; | |
276 | ||
8d2bec9e | 277 | for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1; |
278 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); | |
dd8059a8 | 279 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 | 280 | fYref[0] = 0.; fYref[1] = 0.; |
281 | fZref[0] = 0.; fZref[1] = 0.; | |
282 | fYfit[0] = 0.; fYfit[1] = 0.; | |
283 | fZfit[0] = 0.; fZfit[1] = 0.; | |
8d2bec9e | 284 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
e3cf3d02 | 285 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
286 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels | |
287 | fLabels[2]=0; // number of different labels for tracklet | |
16cca13f | 288 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
e3cf3d02 | 289 | // covariance matrix [diagonal] |
290 | // default sy = 200um and sz = 2.3 cm | |
291 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; | |
292 | } | |
293 | ||
b1957d3c | 294 | //____________________________________________________________________ |
16cca13f | 295 | void AliTRDseedV1::Update(const AliTRDtrackV1 *trk) |
b1957d3c | 296 | { |
297 | // update tracklet reference position from the TRD track | |
b1957d3c | 298 | |
e3cf3d02 | 299 | Double_t fSnp = trk->GetSnp(); |
300 | Double_t fTgl = trk->GetTgl(); | |
b25a5e9e | 301 | fPt = trk->Pt(); |
1fd9389f | 302 | Double_t norm =1./TMath::Sqrt(1. - fSnp*fSnp); |
303 | fYref[1] = fSnp*norm; | |
304 | fZref[1] = fTgl*norm; | |
b1957d3c | 305 | SetCovRef(trk->GetCovariance()); |
306 | ||
307 | Double_t dx = trk->GetX() - fX0; | |
308 | fYref[0] = trk->GetY() - dx*fYref[1]; | |
309 | fZref[0] = trk->GetZ() - dx*fZref[1]; | |
310 | } | |
311 | ||
e3cf3d02 | 312 | //_____________________________________________________________________________ |
313 | void AliTRDseedV1::UpdateUsed() | |
314 | { | |
315 | // | |
f29f13a6 | 316 | // Calculate number of used clusers in the tracklet |
e3cf3d02 | 317 | // |
318 | ||
3e778975 | 319 | Int_t nused = 0, nshared = 0; |
8d2bec9e | 320 | for (Int_t i = kNclusters; i--; ) { |
e3cf3d02 | 321 | if (!fClusters[i]) continue; |
3e778975 | 322 | if(fClusters[i]->IsUsed()){ |
323 | nused++; | |
324 | } else if(fClusters[i]->IsShared()){ | |
325 | if(IsStandAlone()) nused++; | |
326 | else nshared++; | |
327 | } | |
e3cf3d02 | 328 | } |
3e778975 | 329 | SetNUsed(nused); |
330 | SetNShared(nshared); | |
e3cf3d02 | 331 | } |
332 | ||
333 | //_____________________________________________________________________________ | |
334 | void AliTRDseedV1::UseClusters() | |
335 | { | |
336 | // | |
337 | // Use clusters | |
338 | // | |
f29f13a6 | 339 | // In stand alone mode: |
340 | // Clusters which are marked as used or shared from another track are | |
341 | // removed from the tracklet | |
342 | // | |
343 | // In barrel mode: | |
344 | // - Clusters which are used by another track become shared | |
345 | // - Clusters which are attached to a kink track become shared | |
346 | // | |
e3cf3d02 | 347 | AliTRDcluster **c = &fClusters[0]; |
8d2bec9e | 348 | for (Int_t ic=kNclusters; ic--; c++) { |
e3cf3d02 | 349 | if(!(*c)) continue; |
f29f13a6 | 350 | if(IsStandAlone()){ |
351 | if((*c)->IsShared() || (*c)->IsUsed()){ | |
b82b4de1 | 352 | if((*c)->IsShared()) SetNShared(GetNShared()-1); |
353 | else SetNUsed(GetNUsed()-1); | |
4d6aee34 | 354 | (*c) = NULL; |
f29f13a6 | 355 | fIndexes[ic] = -1; |
3e778975 | 356 | SetN(GetN()-1); |
3e778975 | 357 | continue; |
f29f13a6 | 358 | } |
3e778975 | 359 | } else { |
f29f13a6 | 360 | if((*c)->IsUsed() || IsKink()){ |
3e778975 | 361 | (*c)->SetShared(); |
362 | continue; | |
f29f13a6 | 363 | } |
364 | } | |
365 | (*c)->Use(); | |
e3cf3d02 | 366 | } |
367 | } | |
368 | ||
369 | ||
f29f13a6 | 370 | |
bcb6fb78 | 371 | //____________________________________________________________________ |
372 | void AliTRDseedV1::CookdEdx(Int_t nslices) | |
373 | { | |
374 | // Calculates average dE/dx for all slices and store them in the internal array fdEdx. | |
375 | // | |
376 | // Parameters: | |
377 | // nslices : number of slices for which dE/dx should be calculated | |
378 | // Output: | |
379 | // store results in the internal array fdEdx. This can be accessed with the method | |
380 | // AliTRDseedV1::GetdEdx() | |
381 | // | |
382 | // Detailed description | |
383 | // Calculates average dE/dx for all slices. Depending on the PID methode | |
384 | // the number of slices can be 3 (LQ) or 8(NN). | |
3ee48d6e | 385 | // The calculation of dQ/dl are done using the tracklet fit results (see AliTRDseedV1::GetdQdl(Int_t)) |
bcb6fb78 | 386 | // |
387 | // The following effects are included in the calculation: | |
388 | // 1. calibration values for t0 and vdrift (using x coordinate to calculate slice) | |
389 | // 2. cluster sharing (optional see AliTRDrecoParam::SetClusterSharing()) | |
390 | // 3. cluster size | |
391 | // | |
392 | ||
8d2bec9e | 393 | Int_t nclusters[kNslices]; |
394 | memset(nclusters, 0, kNslices*sizeof(Int_t)); | |
395 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); | |
e3cf3d02 | 396 | |
e73abf77 | 397 | const Double_t kDriftLength = (.5 * AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
29b87567 | 398 | |
4d6aee34 | 399 | AliTRDcluster *c = NULL; |
29b87567 | 400 | for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){ |
8e709c82 | 401 | if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue; |
e73abf77 | 402 | Float_t dx = TMath::Abs(fX0 - c->GetX()); |
29b87567 | 403 | |
404 | // Filter clusters for dE/dx calculation | |
405 | ||
406 | // 1.consider calibration effects for slice determination | |
e73abf77 | 407 | Int_t slice; |
408 | if(dx<kDriftLength){ // TODO should be replaced by c->IsInChamber() | |
409 | slice = Int_t(dx * nslices / kDriftLength); | |
410 | } else slice = c->GetX() < fX0 ? nslices-1 : 0; | |
411 | ||
412 | ||
29b87567 | 413 | // 2. take sharing into account |
3e778975 | 414 | Float_t w = /*c->IsShared() ? .5 :*/ 1.; |
29b87567 | 415 | |
416 | // 3. take into account large clusters TODO | |
417 | //w *= c->GetNPads() > 3 ? .8 : 1.; | |
418 | ||
419 | //CHECK !!! | |
420 | fdEdx[slice] += w * GetdQdl(ic); //fdQdl[ic]; | |
421 | nclusters[slice]++; | |
422 | } // End of loop over clusters | |
423 | ||
4d6aee34 | 424 | //if(fkReconstructor->GetPIDMethod() == AliTRDReconstructor::kLQPID){ |
0d83b3a5 | 425 | if(nslices == AliTRDpidUtil::kLQslices){ |
29b87567 | 426 | // calculate mean charge per slice (only LQ PID) |
427 | for(int is=0; is<nslices; is++){ | |
428 | if(nclusters[is]) fdEdx[is] /= nclusters[is]; | |
429 | } | |
430 | } | |
bcb6fb78 | 431 | } |
432 | ||
e3cf3d02 | 433 | //_____________________________________________________________________________ |
434 | void AliTRDseedV1::CookLabels() | |
435 | { | |
436 | // | |
437 | // Cook 2 labels for seed | |
438 | // | |
439 | ||
440 | Int_t labels[200]; | |
441 | Int_t out[200]; | |
442 | Int_t nlab = 0; | |
8d2bec9e | 443 | for (Int_t i = 0; i < kNclusters; i++) { |
e3cf3d02 | 444 | if (!fClusters[i]) continue; |
445 | for (Int_t ilab = 0; ilab < 3; ilab++) { | |
446 | if (fClusters[i]->GetLabel(ilab) >= 0) { | |
447 | labels[nlab] = fClusters[i]->GetLabel(ilab); | |
448 | nlab++; | |
449 | } | |
450 | } | |
451 | } | |
452 | ||
fac58f00 | 453 | fLabels[2] = AliMathBase::Freq(nlab,labels,out,kTRUE); |
e3cf3d02 | 454 | fLabels[0] = out[0]; |
455 | if ((fLabels[2] > 1) && (out[3] > 1)) fLabels[1] = out[2]; | |
456 | } | |
457 | ||
458 | ||
bcb6fb78 | 459 | //____________________________________________________________________ |
0b433f72 | 460 | Float_t AliTRDseedV1::GetdQdl(Int_t ic, Float_t *dl) const |
bcb6fb78 | 461 | { |
3ee48d6e | 462 | // Using the linear approximation of the track inside one TRD chamber (TRD tracklet) |
463 | // the charge per unit length can be written as: | |
464 | // BEGIN_LATEX | |
500851ab | 465 | // #frac{dq}{dl} = #frac{q_{c}}{dx * #sqrt{1 + #(){#frac{dy}{dx}}^{2}_{fit} + #(){#frac{dz}{dx}}^{2}_{ref}}} |
3ee48d6e | 466 | // END_LATEX |
467 | // where qc is the total charge collected in the current time bin and dx is the length | |
0b433f72 | 468 | // of the time bin. |
469 | // The following correction are applied : | |
470 | // - charge : pad row cross corrections | |
471 | // [diffusion and TRF assymetry] TODO | |
472 | // - dx : anisochronity, track inclination - see Fit and AliTRDcluster::GetXloc() | |
473 | // and AliTRDcluster::GetYloc() for the effects taken into account | |
3ee48d6e | 474 | // |
0fa1a8ee | 475 | //Begin_Html |
476 | //<img src="TRD/trackletDQDT.gif"> | |
477 | //End_Html | |
478 | // In the picture the energy loss measured on the tracklet as a function of drift time [left] and respectively | |
479 | // drift length [right] for different particle species is displayed. | |
3ee48d6e | 480 | // Author : Alex Bercuci <A.Bercuci@gsi.de> |
481 | // | |
482 | Float_t dq = 0.; | |
5d401b45 | 483 | // check whether both clusters are inside the chamber |
484 | Bool_t hasClusterInChamber = kFALSE; | |
485 | if(fClusters[ic] && fClusters[ic]->IsInChamber()){ | |
486 | hasClusterInChamber = kTRUE; | |
1742f24c | 487 | dq += TMath::Abs(fClusters[ic]->GetQ()); |
5d401b45 | 488 | }else if(fClusters[ic+kNtb] && fClusters[ic+kNtb]->IsInChamber()){ |
489 | hasClusterInChamber = kTRUE; | |
490 | dq += TMath::Abs(fClusters[ic+kNtb]->GetQ()); | |
1742f24c | 491 | } |
5d401b45 | 492 | if(!hasClusterInChamber) return 0.; |
0b433f72 | 493 | if(dq<1.e-3) return 0.; |
3ee48d6e | 494 | |
a2abcbc5 | 495 | Double_t dx = fdX; |
496 | if(ic-1>=0 && ic+1<kNtb){ | |
497 | Float_t x2(0.), x1(0.); | |
5d401b45 | 498 | // try to estimate upper radial position (find the cluster which is inside the chamber) |
499 | if(fClusters[ic-1] && fClusters[ic-1]->IsInChamber()) x2 = fClusters[ic-1]->GetX(); | |
500 | else if(fClusters[ic-1+kNtb] && fClusters[ic-1+kNtb]->IsInChamber()) x2 = fClusters[ic-1+kNtb]->GetX(); | |
501 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x2 = fClusters[ic]->GetX()+fdX; | |
a2abcbc5 | 502 | else x2 = fClusters[ic+kNtb]->GetX()+fdX; |
5d401b45 | 503 | // try to estimate lower radial position (find the cluster which is inside the chamber) |
504 | if(fClusters[ic+1] && fClusters[ic+1]->IsInChamber()) x1 = fClusters[ic+1]->GetX(); | |
505 | else if(fClusters[ic+1+kNtb] && fClusters[ic+1+kNtb]->IsInChamber()) x1 = fClusters[ic+1+kNtb]->GetX(); | |
506 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x1 = fClusters[ic]->GetX()-fdX; | |
a2abcbc5 | 507 | else x1 = fClusters[ic+kNtb]->GetX()-fdX; |
508 | ||
509 | dx = .5*(x2 - x1); | |
510 | } | |
0b433f72 | 511 | dx *= TMath::Sqrt(1. + fYfit[1]*fYfit[1] + fZref[1]*fZref[1]); |
0b433f72 | 512 | if(dl) (*dl) = dx; |
513 | return dq/dx; | |
bcb6fb78 | 514 | } |
515 | ||
0b433f72 | 516 | //____________________________________________________________ |
517 | Float_t AliTRDseedV1::GetMomentum(Float_t *err) const | |
518 | { | |
519 | // Returns momentum of the track after update with the current tracklet as: | |
520 | // BEGIN_LATEX | |
521 | // p=#frac{1}{1/p_{t}} #sqrt{1+tgl^{2}} | |
522 | // END_LATEX | |
523 | // and optionally the momentum error (if err is not null). | |
524 | // The estimated variance of the momentum is given by: | |
525 | // BEGIN_LATEX | |
526 | // #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}) | |
527 | // END_LATEX | |
528 | // which can be simplified to | |
529 | // BEGIN_LATEX | |
530 | // #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} | |
531 | // END_LATEX | |
532 | // | |
533 | ||
534 | Double_t p = fPt*TMath::Sqrt(1.+fZref[1]*fZref[1]); | |
535 | Double_t p2 = p*p; | |
536 | Double_t tgl2 = fZref[1]*fZref[1]; | |
537 | Double_t pt2 = fPt*fPt; | |
538 | if(err){ | |
539 | Double_t s2 = | |
540 | p2*tgl2*pt2*pt2*fRefCov[4] | |
541 | -2.*p2*fZref[1]*fPt*pt2*fRefCov[5] | |
542 | +p2*pt2*fRefCov[6]; | |
543 | (*err) = TMath::Sqrt(s2); | |
544 | } | |
545 | return p; | |
546 | } | |
547 | ||
548 | ||
0906e73e | 549 | //____________________________________________________________________ |
3e778975 | 550 | Float_t* AliTRDseedV1::GetProbability(Bool_t force) |
0906e73e | 551 | { |
3e778975 | 552 | if(!force) return &fProb[0]; |
4d6aee34 | 553 | if(!CookPID()) return NULL; |
3e778975 | 554 | return &fProb[0]; |
555 | } | |
556 | ||
557 | //____________________________________________________________ | |
558 | Bool_t AliTRDseedV1::CookPID() | |
559 | { | |
0906e73e | 560 | // Fill probability array for tracklet from the DB. |
561 | // | |
562 | // Parameters | |
563 | // | |
564 | // Output | |
4d6aee34 | 565 | // returns pointer to the probability array and NULL if missing DB access |
0906e73e | 566 | // |
2a3191bb | 567 | // Retrieve PID probabilities for e+-, mu+-, K+-, pi+- and p+- from the DB according to tracklet information: |
568 | // - estimated momentum at tracklet reference point | |
569 | // - dE/dx measurements | |
570 | // - tracklet length | |
571 | // - TRD layer | |
572 | // According to the steering settings specified in the reconstruction one of the following methods are used | |
573 | // - Neural Network [default] - option "nn" | |
574 | // - 2D Likelihood - option "!nn" | |
0906e73e | 575 | |
0906e73e | 576 | AliTRDcalibDB *calibration = AliTRDcalibDB::Instance(); |
577 | if (!calibration) { | |
578 | AliError("No access to calibration data"); | |
3e778975 | 579 | return kFALSE; |
0906e73e | 580 | } |
581 | ||
4d6aee34 | 582 | if (!fkReconstructor) { |
3a039a31 | 583 | AliError("Reconstructor not set."); |
3e778975 | 584 | return kFALSE; |
4ba1d6ae | 585 | } |
586 | ||
0906e73e | 587 | // Retrieve the CDB container class with the parametric detector response |
4d6aee34 | 588 | const AliTRDCalPID *pd = calibration->GetPIDObject(fkReconstructor->GetPIDMethod()); |
0906e73e | 589 | if (!pd) { |
590 | AliError("No access to AliTRDCalPID object"); | |
3e778975 | 591 | return kFALSE; |
0906e73e | 592 | } |
4d6aee34 | 593 | //AliInfo(Form("Method[%d] : %s", fkReconstructor->GetRecoParam() ->GetPIDMethod(), pd->IsA()->GetName())); |
10f75631 | 594 | |
29b87567 | 595 | // calculate tracklet length TO DO |
0906e73e | 596 | Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
597 | /// TMath::Sqrt((1.0 - fSnp[iPlane]*fSnp[iPlane]) / (1.0 + fTgl[iPlane]*fTgl[iPlane])); | |
598 | ||
599 | //calculate dE/dx | |
4d6aee34 | 600 | CookdEdx(fkReconstructor->GetNdEdxSlices()); |
0906e73e | 601 | |
602 | // Sets the a priori probabilities | |
f83cd814 | 603 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) |
604 | fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, GetPlane()); | |
f301a656 | 605 | |
3e778975 | 606 | return kTRUE; |
0906e73e | 607 | } |
608 | ||
e4f2f73d | 609 | //____________________________________________________________________ |
610 | Float_t AliTRDseedV1::GetQuality(Bool_t kZcorr) const | |
611 | { | |
612 | // | |
613 | // Returns a quality measurement of the current seed | |
614 | // | |
615 | ||
dd8059a8 | 616 | Float_t zcorr = kZcorr ? GetTilt() * (fZfit[0] - fZref[0]) : 0.; |
29b87567 | 617 | return |
3e778975 | 618 | .5 * TMath::Abs(18.0 - GetN()) |
29b87567 | 619 | + 10.* TMath::Abs(fYfit[1] - fYref[1]) |
620 | + 5. * TMath::Abs(fYfit[0] - fYref[0] + zcorr) | |
dd8059a8 | 621 | + 2. * TMath::Abs(fZfit[0] - fZref[0]) / GetPadLength(); |
e4f2f73d | 622 | } |
623 | ||
0906e73e | 624 | //____________________________________________________________________ |
d937ad7a | 625 | void AliTRDseedV1::GetCovAt(Double_t x, Double_t *cov) const |
0906e73e | 626 | { |
d937ad7a | 627 | // Computes covariance in the y-z plane at radial point x (in tracking coordinates) |
628 | // and returns the results in the preallocated array cov[3] as : | |
629 | // cov[0] = Var(y) | |
630 | // cov[1] = Cov(yz) | |
631 | // cov[2] = Var(z) | |
632 | // | |
633 | // Details | |
634 | // | |
635 | // For the linear transformation | |
636 | // BEGIN_LATEX | |
637 | // Y = T_{x} X^{T} | |
638 | // END_LATEX | |
639 | // The error propagation has the general form | |
640 | // BEGIN_LATEX | |
641 | // C_{Y} = T_{x} C_{X} T_{x}^{T} | |
642 | // END_LATEX | |
643 | // We apply this formula 2 times. First to calculate the covariance of the tracklet | |
644 | // at point x we consider: | |
645 | // BEGIN_LATEX | |
646 | // T_{x} = (1 x); X=(y0 dy/dx); C_{X}=#(){#splitline{Var(y0) Cov(y0, dy/dx)}{Cov(y0, dy/dx) Var(dy/dx)}} | |
647 | // END_LATEX | |
648 | // and secondly to take into account the tilt angle | |
649 | // BEGIN_LATEX | |
650 | // T_{#alpha} = #(){#splitline{cos(#alpha) __ sin(#alpha)}{-sin(#alpha) __ cos(#alpha)}}; X=(y z); C_{X}=#(){#splitline{Var(y) 0}{0 Var(z)}} | |
651 | // END_LATEX | |
652 | // | |
653 | // using simple trigonometrics one can write for this last case | |
654 | // BEGIN_LATEX | |
655 | // 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})}} | |
656 | // END_LATEX | |
657 | // which can be aproximated for small alphas (2 deg) with | |
658 | // BEGIN_LATEX | |
659 | // 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}}} | |
660 | // END_LATEX | |
661 | // | |
662 | // before applying the tilt rotation we also apply systematic uncertainties to the tracklet | |
663 | // position which can be tunned from outside via the AliTRDrecoParam::SetSysCovMatrix(). They might | |
664 | // account for extra misalignment/miscalibration uncertainties. | |
665 | // | |
666 | // Author : | |
667 | // Alex Bercuci <A.Bercuci@gsi.de> | |
668 | // Date : Jan 8th 2009 | |
669 | // | |
b1957d3c | 670 | |
671 | ||
d937ad7a | 672 | Double_t xr = fX0-x; |
673 | Double_t sy2 = fCov[0] +2.*xr*fCov[1] + xr*xr*fCov[2]; | |
b72f4eaf | 674 | Double_t sz2 = fS2Z; |
675 | //GetPadLength()*GetPadLength()/12.; | |
0906e73e | 676 | |
d937ad7a | 677 | // insert systematic uncertainties |
4d6aee34 | 678 | if(fkReconstructor){ |
bb2db46c | 679 | Double_t sys[15]; memset(sys, 0, 15*sizeof(Double_t)); |
4d6aee34 | 680 | fkReconstructor->GetRecoParam()->GetSysCovMatrix(sys); |
bb2db46c | 681 | sy2 += sys[0]; |
682 | sz2 += sys[1]; | |
683 | } | |
d937ad7a | 684 | // rotate covariance matrix |
dd8059a8 | 685 | Double_t t2 = GetTilt()*GetTilt(); |
d937ad7a | 686 | Double_t correction = 1./(1. + t2); |
687 | cov[0] = (sy2+t2*sz2)*correction; | |
dd8059a8 | 688 | cov[1] = GetTilt()*(sz2 - sy2)*correction; |
d937ad7a | 689 | cov[2] = (t2*sy2+sz2)*correction; |
b72f4eaf | 690 | |
691 | //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 | 692 | } |
eb38ed55 | 693 | |
bb2db46c | 694 | //____________________________________________________________ |
4d6aee34 | 695 | Double_t AliTRDseedV1::GetCovSqrt(const Double_t * const c, Double_t *d) |
bb2db46c | 696 | { |
697 | // Helper function to calculate the square root of the covariance matrix. | |
698 | // The input matrix is stored in the vector c and the result in the vector d. | |
41b7c7b6 | 699 | // Both arrays have to be initialized by the user with at least 3 elements. Return negative in case of failure. |
bb2db46c | 700 | // |
ec3f0161 | 701 | // For calculating the square root of the symmetric matrix c |
702 | // the following relation is used: | |
bb2db46c | 703 | // BEGIN_LATEX |
ec3f0161 | 704 | // C^{1/2} = VD^{1/2}V^{-1} |
bb2db46c | 705 | // END_LATEX |
41b7c7b6 | 706 | // with V being the matrix with the n eigenvectors as columns. |
ec3f0161 | 707 | // In case C is symmetric the followings are true: |
708 | // - matrix D is diagonal with the diagonal given by the eigenvalues of C | |
41b7c7b6 | 709 | // - V = V^{-1} |
bb2db46c | 710 | // |
711 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
712 | // Date Mar 19 2009 | |
713 | ||
4d6aee34 | 714 | Double_t l[2], // eigenvalues |
715 | v[3]; // eigenvectors | |
bb2db46c | 716 | // the secular equation and its solution : |
717 | // (c[0]-L)(c[2]-L)-c[1]^2 = 0 | |
718 | // L^2 - L*Tr(c)+DET(c) = 0 | |
719 | // L12 = [Tr(c) +- sqrt(Tr(c)^2-4*DET(c))]/2 | |
4d6aee34 | 720 | Double_t tr = c[0]+c[2], // trace |
721 | det = c[0]*c[2]-c[1]*c[1]; // determinant | |
722 | if(TMath::Abs(det)<1.e-20) return -1.; | |
723 | Double_t dd = TMath::Sqrt(tr*tr - 4*det); | |
724 | l[0] = .5*(tr + dd); | |
725 | l[1] = .5*(tr - dd); | |
726 | if(l[0]<0. || l[1]<0.) return -1.; | |
41b7c7b6 | 727 | |
728 | // the sym V matrix | |
729 | // | v00 v10| | |
730 | // | v10 v11| | |
4d6aee34 | 731 | Double_t tmp = (l[0]-c[0])/c[1]; |
732 | v[0] = TMath::Sqrt(1./(tmp*tmp+1)); | |
733 | v[1] = tmp*v[0]; | |
734 | v[2] = v[1]*c[1]/(l[1]-c[2]); | |
41b7c7b6 | 735 | // the VD^{1/2}V is: |
4d6aee34 | 736 | l[0] = TMath::Sqrt(l[0]); l[1] = TMath::Sqrt(l[1]); |
737 | d[0] = v[0]*v[0]*l[0]+v[1]*v[1]*l[1]; | |
738 | d[1] = v[0]*v[1]*l[0]+v[1]*v[2]*l[1]; | |
739 | d[2] = v[1]*v[1]*l[0]+v[2]*v[2]*l[1]; | |
bb2db46c | 740 | |
741 | return 1.; | |
742 | } | |
743 | ||
744 | //____________________________________________________________ | |
4d6aee34 | 745 | Double_t AliTRDseedV1::GetCovInv(const Double_t * const c, Double_t *d) |
bb2db46c | 746 | { |
747 | // Helper function to calculate the inverse of the covariance matrix. | |
748 | // The input matrix is stored in the vector c and the result in the vector d. | |
749 | // Both arrays have to be initialized by the user with at least 3 elements | |
750 | // The return value is the determinant or 0 in case of singularity. | |
751 | // | |
752 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
753 | // Date Mar 19 2009 | |
754 | ||
4d6aee34 | 755 | Double_t det = c[0]*c[2] - c[1]*c[1]; |
756 | if(TMath::Abs(det)<1.e-20) return 0.; | |
757 | Double_t invDet = 1./det; | |
758 | d[0] = c[2]*invDet; | |
759 | d[1] =-c[1]*invDet; | |
760 | d[2] = c[0]*invDet; | |
761 | return det; | |
bb2db46c | 762 | } |
0906e73e | 763 | |
b72f4eaf | 764 | //____________________________________________________________________ |
765 | UShort_t AliTRDseedV1::GetVolumeId() const | |
766 | { | |
767 | Int_t ic=0; | |
768 | while(ic<kNclusters && !fClusters[ic]) ic++; | |
769 | return fClusters[ic] ? fClusters[ic]->GetVolumeId() : 0; | |
770 | } | |
771 | ||
f301a656 | 772 | //____________________________________________________________________ |
773 | TLinearFitter* AliTRDseedV1::GetFitterY() | |
774 | { | |
775 | if(!fgFitterY) fgFitterY = new TLinearFitter(1, "pol1"); | |
776 | fgFitterY->ClearPoints(); | |
777 | return fgFitterY; | |
778 | } | |
779 | ||
780 | //____________________________________________________________________ | |
781 | TLinearFitter* AliTRDseedV1::GetFitterZ() | |
782 | { | |
783 | if(!fgFitterZ) fgFitterZ = new TLinearFitter(1, "pol1"); | |
784 | fgFitterZ->ClearPoints(); | |
785 | return fgFitterZ; | |
786 | } | |
b72f4eaf | 787 | |
d937ad7a | 788 | //____________________________________________________________________ |
e3cf3d02 | 789 | void AliTRDseedV1::Calibrate() |
d937ad7a | 790 | { |
e3cf3d02 | 791 | // Retrieve calibration and position parameters from OCDB. |
792 | // The following information are used | |
d937ad7a | 793 | // - detector index |
e3cf3d02 | 794 | // - column and row position of first attached cluster. If no clusters are attached |
795 | // to the tracklet a random central chamber position (c=70, r=7) will be used. | |
796 | // | |
797 | // The following information is cached in the tracklet | |
798 | // t0 (trigger delay) | |
799 | // drift velocity | |
800 | // PRF width | |
801 | // omega*tau = tg(a_L) | |
802 | // diffusion coefficients (longitudinal and transversal) | |
d937ad7a | 803 | // |
804 | // Author : | |
805 | // Alex Bercuci <A.Bercuci@gsi.de> | |
806 | // Date : Jan 8th 2009 | |
807 | // | |
eb38ed55 | 808 | |
d937ad7a | 809 | AliCDBManager *cdb = AliCDBManager::Instance(); |
810 | if(cdb->GetRun() < 0){ | |
811 | AliError("OCDB manager not properly initialized"); | |
812 | return; | |
813 | } | |
0906e73e | 814 | |
e3cf3d02 | 815 | AliTRDcalibDB *calib = AliTRDcalibDB::Instance(); |
816 | AliTRDCalROC *vdROC = calib->GetVdriftROC(fDet), | |
817 | *t0ROC = calib->GetT0ROC(fDet);; | |
818 | const AliTRDCalDet *vdDet = calib->GetVdriftDet(); | |
819 | const AliTRDCalDet *t0Det = calib->GetT0Det(); | |
d937ad7a | 820 | |
821 | Int_t col = 70, row = 7; | |
822 | AliTRDcluster **c = &fClusters[0]; | |
3e778975 | 823 | if(GetN()){ |
d937ad7a | 824 | Int_t ic = 0; |
8d2bec9e | 825 | while (ic<kNclusters && !(*c)){ic++; c++;} |
d937ad7a | 826 | if(*c){ |
827 | col = (*c)->GetPadCol(); | |
828 | row = (*c)->GetPadRow(); | |
829 | } | |
830 | } | |
3a039a31 | 831 | |
e17f4785 | 832 | fT0 = (t0Det->GetValue(fDet) + t0ROC->GetValue(col,row)) / AliTRDCommonParam::Instance()->GetSamplingFrequency(); |
e3cf3d02 | 833 | fVD = vdDet->GetValue(fDet) * vdROC->GetValue(col, row); |
834 | fS2PRF = calib->GetPRFWidth(fDet, col, row); fS2PRF *= fS2PRF; | |
835 | fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVD); | |
836 | AliTRDCommonParam::Instance()->GetDiffCoeff(fDiffL, | |
837 | fDiffT, fVD); | |
838 | SetBit(kCalib, kTRUE); | |
0906e73e | 839 | } |
840 | ||
0906e73e | 841 | //____________________________________________________________________ |
29b87567 | 842 | void AliTRDseedV1::SetOwner() |
0906e73e | 843 | { |
29b87567 | 844 | //AliInfo(Form("own [%s] fOwner[%s]", own?"YES":"NO", fOwner?"YES":"NO")); |
845 | ||
846 | if(TestBit(kOwner)) return; | |
8d2bec9e | 847 | for(int ic=0; ic<kNclusters; ic++){ |
29b87567 | 848 | if(!fClusters[ic]) continue; |
849 | fClusters[ic] = new AliTRDcluster(*fClusters[ic]); | |
850 | } | |
851 | SetBit(kOwner); | |
0906e73e | 852 | } |
853 | ||
eb2b4f91 | 854 | //____________________________________________________________ |
855 | void AliTRDseedV1::SetPadPlane(AliTRDpadPlane *p) | |
856 | { | |
857 | // Shortcut method to initialize pad geometry. | |
858 | if(!p) return; | |
859 | SetTilt(TMath::Tan(TMath::DegToRad()*p->GetTiltingAngle())); | |
860 | SetPadLength(p->GetLengthIPad()); | |
861 | SetPadWidth(p->GetWidthIPad()); | |
862 | } | |
863 | ||
864 | ||
e4f2f73d | 865 | //____________________________________________________________________ |
4d6aee34 | 866 | Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *const chamber, Bool_t tilt) |
e4f2f73d | 867 | { |
1fd9389f | 868 | // |
869 | // Projective algorithm to attach clusters to seeding tracklets. The following steps are performed : | |
870 | // 1. Collapse x coordinate for the full detector plane | |
871 | // 2. truncated mean on y (r-phi) direction | |
872 | // 3. purge clusters | |
873 | // 4. truncated mean on z direction | |
874 | // 5. purge clusters | |
875 | // | |
876 | // Parameters | |
877 | // - chamber : pointer to tracking chamber container used to search the tracklet | |
878 | // - tilt : switch for tilt correction during road building [default true] | |
879 | // Output | |
880 | // - true : if tracklet found successfully. Failure can happend because of the following: | |
881 | // - | |
882 | // Detailed description | |
883 | // | |
884 | // We start up by defining the track direction in the xy plane and roads. The roads are calculated based | |
8a7ff53c | 885 | // on tracking information (variance in the r-phi direction) and estimated variance of the standard |
886 | // clusters (see AliTRDcluster::SetSigmaY2()) corrected for tilt (see GetCovAt()). From this the road is | |
887 | // BEGIN_LATEX | |
500851ab | 888 | // 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 | 889 | // r_{z} = 1.5*L_{pad} |
890 | // END_LATEX | |
1fd9389f | 891 | // |
4b755889 | 892 | // Author : Alexandru Bercuci <A.Bercuci@gsi.de> |
893 | // Debug : level >3 | |
1fd9389f | 894 | |
4d6aee34 | 895 | if(!fkReconstructor->GetRecoParam() ){ |
29b87567 | 896 | AliError("Seed can not be used without a valid RecoParam."); |
897 | return kFALSE; | |
898 | } | |
b1957d3c | 899 | // Initialize reco params for this tracklet |
900 | // 1. first time bin in the drift region | |
a2abcbc5 | 901 | Int_t t0 = 14; |
4d6aee34 | 902 | Int_t kClmin = Int_t(fkReconstructor->GetRecoParam() ->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins()); |
29b87567 | 903 | |
4d6aee34 | 904 | Double_t sysCov[5]; fkReconstructor->GetRecoParam()->GetSysCovMatrix(sysCov); |
8a7ff53c | 905 | Double_t s2yTrk= fRefCov[0], |
906 | s2yCl = 0., | |
907 | s2zCl = GetPadLength()*GetPadLength()/12., | |
908 | syRef = TMath::Sqrt(s2yTrk), | |
909 | t2 = GetTilt()*GetTilt(); | |
29b87567 | 910 | //define roads |
4d6aee34 | 911 | Double_t kroady = 1., //fkReconstructor->GetRecoParam() ->GetRoad1y(); |
566bf887 | 912 | kroadz = GetPadLength() * fkReconstructor->GetRecoParam()->GetRoadzMultiplicator() + 1.; |
8a7ff53c | 913 | // define probing cluster (the perfect cluster) and default calibration |
914 | Short_t sig[] = {0, 0, 10, 30, 10, 0,0}; | |
915 | AliTRDcluster cp(fDet, 6, 75, 0, sig, 0); | |
4d6aee34 | 916 | if(fkReconstructor->IsHLT())cp.SetRPhiMethod(AliTRDcluster::kCOG); |
8a7ff53c | 917 | Calibrate(); |
918 | ||
ee8fb199 | 919 | AliDebug(4, ""); |
920 | AliDebug(4, Form("syKalman[%f] rY[%f] rZ[%f]", syRef, kroady, kroadz)); | |
29b87567 | 921 | |
922 | // working variables | |
b1957d3c | 923 | const Int_t kNrows = 16; |
4b755889 | 924 | const Int_t kNcls = 3*kNclusters; // buffer size |
925 | AliTRDcluster *clst[kNrows][kNcls]; | |
3044dfe5 | 926 | Bool_t blst[kNrows][kNcls]; |
4b755889 | 927 | Double_t cond[4], dx, dy, yt, zt, yres[kNrows][kNcls]; |
928 | Int_t idxs[kNrows][kNcls], ncl[kNrows], ncls = 0; | |
b1957d3c | 929 | memset(ncl, 0, kNrows*sizeof(Int_t)); |
4b755889 | 930 | memset(yres, 0, kNrows*kNcls*sizeof(Double_t)); |
3044dfe5 | 931 | memset(blst, 0, kNrows*kNcls*sizeof(Bool_t)); //this is 8 times faster to memset than "memset(clst, 0, kNrows*kNcls*sizeof(AliTRDcluster*))" |
b1957d3c | 932 | |
29b87567 | 933 | // Do cluster projection |
4d6aee34 | 934 | AliTRDcluster *c = NULL; |
935 | AliTRDchamberTimeBin *layer = NULL; | |
b1957d3c | 936 | Bool_t kBUFFER = kFALSE; |
4b755889 | 937 | for (Int_t it = 0; it < kNtb; it++) { |
b1957d3c | 938 | if(!(layer = chamber->GetTB(it))) continue; |
29b87567 | 939 | if(!Int_t(*layer)) continue; |
8a7ff53c | 940 | // get track projection at layers position |
b1957d3c | 941 | dx = fX0 - layer->GetX(); |
942 | yt = fYref[0] - fYref[1] * dx; | |
943 | zt = fZref[0] - fZref[1] * dx; | |
8a7ff53c | 944 | // get standard cluster error corrected for tilt |
945 | cp.SetLocalTimeBin(it); | |
946 | cp.SetSigmaY2(0.02, fDiffT, fExB, dx, -1./*zt*/, fYref[1]); | |
d956a643 | 947 | s2yCl = (cp.GetSigmaY2() + sysCov[0] + t2*s2zCl)/(1.+t2); |
8a7ff53c | 948 | // get estimated road |
949 | kroady = 3.*TMath::Sqrt(12.*(s2yTrk + s2yCl)); | |
950 | ||
ee8fb199 | 951 | AliDebug(5, Form(" %2d x[%f] yt[%f] zt[%f]", it, dx, yt, zt)); |
952 | ||
953 | AliDebug(5, Form(" syTrk[um]=%6.2f syCl[um]=%6.2f syClTlt[um]=%6.2f Ry[mm]=%f", 1.e4*TMath::Sqrt(s2yTrk), 1.e4*TMath::Sqrt(cp.GetSigmaY2()), 1.e4*TMath::Sqrt(s2yCl), 1.e1*kroady)); | |
b1957d3c | 954 | |
8a7ff53c | 955 | // select clusters |
b1957d3c | 956 | cond[0] = yt; cond[2] = kroady; |
957 | cond[1] = zt; cond[3] = kroadz; | |
958 | Int_t n=0, idx[6]; | |
959 | layer->GetClusters(cond, idx, n, 6); | |
960 | for(Int_t ic = n; ic--;){ | |
961 | c = (*layer)[idx[ic]]; | |
962 | dy = yt - c->GetY(); | |
dd8059a8 | 963 | dy += tilt ? GetTilt() * (c->GetZ() - zt) : 0.; |
b1957d3c | 964 | // select clusters on a 3 sigmaKalman level |
965 | /* if(tilt && TMath::Abs(dy) > 3.*syRef){ | |
966 | printf("too large !!!\n"); | |
967 | continue; | |
968 | }*/ | |
969 | Int_t r = c->GetPadRow(); | |
ee8fb199 | 970 | AliDebug(5, Form(" -> dy[%f] yc[%f] r[%d]", TMath::Abs(dy), c->GetY(), r)); |
b1957d3c | 971 | clst[r][ncl[r]] = c; |
3044dfe5 | 972 | blst[r][ncl[r]] = kTRUE; |
b1957d3c | 973 | idxs[r][ncl[r]] = idx[ic]; |
974 | yres[r][ncl[r]] = dy; | |
975 | ncl[r]++; ncls++; | |
976 | ||
4b755889 | 977 | if(ncl[r] >= kNcls) { |
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 | } |
ee8fb199 | 985 | AliDebug(4, Form("Found %d clusters. Processing ...", ncls)); |
986 | if(ncls<kClmin){ | |
987 | AliDebug(2, Form("CLUSTERS FOUND %d LESS THAN THRESHOLD %d.", ncls, kClmin)); | |
7c3eecb8 | 988 | SetErrorMsg(kAttachClFound); |
ee8fb199 | 989 | return kFALSE; |
990 | } | |
991 | ||
b1957d3c | 992 | // analyze each row individualy |
993 | Double_t mean, syDis; | |
994 | Int_t nrow[] = {0, 0, 0}, nr = 0, lr=-1; | |
995 | for(Int_t ir=kNrows; ir--;){ | |
996 | if(!(ncl[ir])) continue; | |
997 | if(lr>0 && lr-ir != 1){ | |
ee8fb199 | 998 | AliDebug(2, "Gap in rows attached"); |
29b87567 | 999 | } |
ee8fb199 | 1000 | AliDebug(5, Form(" r[%d] n[%d]", ir, ncl[ir])); |
b1957d3c | 1001 | // Evaluate truncated mean on the y direction |
1002 | if(ncl[ir] > 3) AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean, syDis, Int_t(ncl[ir]*.8)); | |
1003 | else { | |
1004 | mean = 0.; syDis = 0.; | |
8a7ff53c | 1005 | continue; |
b1957d3c | 1006 | } |
1007 | ||
a2fbb6ec | 1008 | if(fkReconstructor->GetRecoParam()->GetStreamLevel(AliTRDrecoParam::kTracker) > 3 && fkReconstructor->IsDebugStreaming()){ |
1009 | TTreeSRedirector &cstreamer = *fkReconstructor->GetDebugStream(AliTRDrecoParam::kTracker); | |
bb5265c9 | 1010 | TVectorD vdy(ncl[ir], yres[ir]); |
21a6e3ac | 1011 | UChar_t stat(0); |
1012 | if(IsKink()) SETBIT(stat, 0); | |
1013 | if(IsStandAlone()) SETBIT(stat, 1); | |
4b755889 | 1014 | cstreamer << "AttachClusters" |
21a6e3ac | 1015 | << "stat=" << stat |
1016 | << "det=" << fDet | |
1017 | << "pt=" << fPt | |
1018 | << "s2y=" << s2yTrk | |
bb5265c9 | 1019 | << "dy=" << &vdy |
21a6e3ac | 1020 | << "m=" << mean |
1021 | << "s=" << syDis | |
4b755889 | 1022 | << "\n"; |
1023 | } | |
1024 | ||
b1957d3c | 1025 | // TODO check mean and sigma agains cluster resolution !! |
ee8fb199 | 1026 | AliDebug(4, Form(" m[%f (%5.3fs)] s[%f]", mean, TMath::Abs(mean/syDis), syDis)); |
b1957d3c | 1027 | // select clusters on a 3 sigmaDistr level |
1028 | Bool_t kFOUND = kFALSE; | |
1029 | for(Int_t ic = ncl[ir]; ic--;){ | |
1030 | if(yres[ir][ic] - mean > 3. * syDis){ | |
3044dfe5 | 1031 | blst[ir][ic] = kFALSE; continue; |
b1957d3c | 1032 | } |
1033 | nrow[nr]++; kFOUND = kTRUE; | |
1034 | } | |
1035 | // exit loop | |
1036 | if(kFOUND) nr++; | |
1037 | lr = ir; if(nr>=3) break; | |
29b87567 | 1038 | } |
ee8fb199 | 1039 | AliDebug(4, Form(" nr[%d = %d + %d + %d]", nr, nrow[0], nrow[1], nrow[2])); |
b1957d3c | 1040 | |
1041 | // classify cluster rows | |
1042 | Int_t row = -1; | |
1043 | switch(nr){ | |
1044 | case 1: | |
1045 | row = lr; | |
1046 | break; | |
1047 | case 2: | |
1048 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
1049 | if(nrow[0] > nrow[1]){ row = lr+1; lr = -1;} | |
1050 | else{ | |
1051 | row = lr; lr = 1; | |
1052 | nrow[2] = nrow[1]; | |
1053 | nrow[1] = nrow[0]; | |
1054 | nrow[0] = nrow[2]; | |
29b87567 | 1055 | } |
b1957d3c | 1056 | break; |
1057 | case 3: | |
1058 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
1059 | break; | |
29b87567 | 1060 | } |
ee8fb199 | 1061 | AliDebug(4, Form(" Ncl[rowMax = %d] = %d", row, nrow[0])); |
1062 | if(row<0){ | |
1063 | AliDebug(2, Form("WRONG ROW %d.", row)); | |
7c3eecb8 | 1064 | SetErrorMsg(kAttachRow); |
ee8fb199 | 1065 | return kFALSE; |
1066 | } | |
b1957d3c | 1067 | // Select and store clusters |
1068 | // We should consider here : | |
1069 | // 1. How far is the chamber boundary | |
1070 | // 2. How big is the mean | |
3e778975 | 1071 | Int_t n = 0; |
b1957d3c | 1072 | for (Int_t ir = 0; ir < nr; ir++) { |
1073 | Int_t jr = row + ir*lr; | |
ee8fb199 | 1074 | AliDebug(4, Form(" Ncl[%d] @ R[%d] attaching ...", ncl[jr], jr)); |
b1957d3c | 1075 | for (Int_t ic = 0; ic < ncl[jr]; ic++) { |
3044dfe5 | 1076 | if(!blst[jr][ic])continue; |
1077 | c = clst[jr][ic]; | |
b1957d3c | 1078 | Int_t it = c->GetPadTime(); |
1079 | // TODO proper indexing of clusters !! | |
e3cf3d02 | 1080 | fIndexes[it+kNtb*ir] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]); |
1081 | fClusters[it+kNtb*ir] = c; | |
29b87567 | 1082 | |
b1957d3c | 1083 | //printf("\tid[%2d] it[%d] idx[%d]\n", ic, it, fIndexes[it]); |
1084 | ||
3e778975 | 1085 | n++; |
b1957d3c | 1086 | } |
1087 | } | |
1088 | ||
29b87567 | 1089 | // number of minimum numbers of clusters expected for the tracklet |
3e778975 | 1090 | if (n < kClmin){ |
ee8fb199 | 1091 | AliDebug(2, Form("NOT ENOUGH CLUSTERS TO FIT THE TRACKLET %d [%d].", n, kClmin)); |
7c3eecb8 | 1092 | SetErrorMsg(kAttachClAttach); |
e4f2f73d | 1093 | return kFALSE; |
1094 | } | |
3e778975 | 1095 | SetN(n); |
0906e73e | 1096 | |
e3cf3d02 | 1097 | // Load calibration parameters for this tracklet |
1098 | Calibrate(); | |
b1957d3c | 1099 | |
1100 | // calculate dx for time bins in the drift region (calibration aware) | |
a2abcbc5 | 1101 | Float_t x[2] = {0.,0.}; Int_t tb[2]={0,0}; |
1102 | for (Int_t it = t0, irp=0; irp<2 && it < AliTRDtrackerV1::GetNTimeBins(); it++) { | |
b1957d3c | 1103 | if(!fClusters[it]) continue; |
1104 | x[irp] = fClusters[it]->GetX(); | |
a2abcbc5 | 1105 | tb[irp] = fClusters[it]->GetLocalTimeBin(); |
b1957d3c | 1106 | irp++; |
e3cf3d02 | 1107 | } |
d86ed84c | 1108 | Int_t dtb = tb[1] - tb[0]; |
1109 | fdX = dtb ? (x[0] - x[1]) / dtb : 0.15; | |
29b87567 | 1110 | return kTRUE; |
e4f2f73d | 1111 | } |
1112 | ||
03cef9b2 | 1113 | //____________________________________________________________ |
1114 | void AliTRDseedV1::Bootstrap(const AliTRDReconstructor *rec) | |
1115 | { | |
1116 | // Fill in all derived information. It has to be called after recovery from file or HLT. | |
1117 | // The primitive data are | |
1118 | // - list of clusters | |
1119 | // - detector (as the detector will be removed from clusters) | |
1120 | // - position of anode wire (fX0) - temporary | |
1121 | // - track reference position and direction | |
1122 | // - momentum of the track | |
1123 | // - time bin length [cm] | |
1124 | // | |
1125 | // A.Bercuci <A.Bercuci@gsi.de> Oct 30th 2008 | |
1126 | // | |
4d6aee34 | 1127 | fkReconstructor = rec; |
03cef9b2 | 1128 | AliTRDgeometry g; |
1129 | AliTRDpadPlane *pp = g.GetPadPlane(fDet); | |
dd8059a8 | 1130 | fPad[0] = pp->GetLengthIPad(); |
1131 | fPad[1] = pp->GetWidthIPad(); | |
1132 | fPad[3] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle()); | |
e3cf3d02 | 1133 | //fSnp = fYref[1]/TMath::Sqrt(1+fYref[1]*fYref[1]); |
1134 | //fTgl = fZref[1]; | |
3e778975 | 1135 | Int_t n = 0, nshare = 0, nused = 0; |
03cef9b2 | 1136 | AliTRDcluster **cit = &fClusters[0]; |
8d2bec9e | 1137 | for(Int_t ic = kNclusters; ic--; cit++){ |
03cef9b2 | 1138 | if(!(*cit)) return; |
3e778975 | 1139 | n++; |
1140 | if((*cit)->IsShared()) nshare++; | |
1141 | if((*cit)->IsUsed()) nused++; | |
03cef9b2 | 1142 | } |
3e778975 | 1143 | SetN(n); SetNUsed(nused); SetNShared(nshare); |
e3cf3d02 | 1144 | Fit(); |
03cef9b2 | 1145 | CookLabels(); |
1146 | GetProbability(); | |
1147 | } | |
1148 | ||
1149 | ||
e4f2f73d | 1150 | //____________________________________________________________________ |
b72f4eaf | 1151 | Bool_t AliTRDseedV1::Fit(Bool_t tilt, Bool_t zcorr) |
e4f2f73d | 1152 | { |
16cca13f | 1153 | // |
1154 | // Linear fit of the clusters attached to the tracklet | |
1155 | // | |
1156 | // Parameters : | |
1157 | // - tilt : switch for tilt pad correction of cluster y position based on | |
1158 | // the z, dzdx info from outside [default false]. | |
1159 | // - zcorr : switch for using z information to correct for anisochronity | |
1fd9389f | 1160 | // and a finner error parameterization estimation [default false] |
16cca13f | 1161 | // Output : |
1162 | // True if successful | |
1163 | // | |
1164 | // Detailed description | |
1165 | // | |
1166 | // Fit in the xy plane | |
1167 | // | |
1fd9389f | 1168 | // The fit is performed to estimate the y position of the tracklet and the track |
1169 | // angle in the bending plane. The clusters are represented in the chamber coordinate | |
1170 | // system (with respect to the anode wire - see AliTRDtrackerV1::FollowBackProlongation() | |
1171 | // on how this is set). The x and y position of the cluster and also their variances | |
1172 | // are known from clusterizer level (see AliTRDcluster::GetXloc(), AliTRDcluster::GetYloc(), | |
1173 | // AliTRDcluster::GetSX() and AliTRDcluster::GetSY()). | |
1174 | // If gaussian approximation is used to calculate y coordinate of the cluster the position | |
1175 | // is recalculated taking into account the track angle. The general formula to calculate the | |
1176 | // error of cluster position in the gaussian approximation taking into account diffusion and track | |
1177 | // inclination is given for TRD by: | |
1178 | // BEGIN_LATEX | |
1179 | // #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} | |
1180 | // END_LATEX | |
1181 | // | |
1182 | // Since errors are calculated only in the y directions, radial errors (x direction) are mapped to y | |
1183 | // by projection i.e. | |
1184 | // BEGIN_LATEX | |
1185 | // #sigma_{x|y} = tg(#phi) #sigma_{x} | |
1186 | // END_LATEX | |
1187 | // and also by the lorentz angle correction | |
1188 | // | |
1189 | // Fit in the xz plane | |
1190 | // | |
1191 | // The "fit" is performed to estimate the radial position (x direction) where pad row cross happens. | |
1192 | // If no pad row crossing the z position is taken from geometry and radial position is taken from the xy | |
1193 | // fit (see below). | |
1194 | // | |
1195 | // There are two methods to estimate the radial position of the pad row cross: | |
1196 | // 1. leading cluster radial position : Here the lower part of the tracklet is considered and the last | |
1197 | // cluster registered (at radial x0) on this segment is chosen to mark the pad row crossing. The error | |
1198 | // of the z estimate is given by : | |
1199 | // BEGIN_LATEX | |
1200 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1201 | // END_LATEX | |
1202 | // The systematic errors for this estimation are generated by the following sources: | |
1203 | // - no charge sharing between pad rows is considered (sharp cross) | |
1204 | // - missing cluster at row cross (noise peak-up, under-threshold signal etc.). | |
1205 | // | |
1206 | // 2. charge fit over the crossing point : Here the full energy deposit along the tracklet is considered | |
1207 | // to estimate the position of the crossing by a fit in the qx plane. The errors in the q directions are | |
1208 | // parameterized as s_q = q^2. The systematic errors for this estimation are generated by the following sources: | |
1209 | // - no general model for the qx dependence | |
1210 | // - physical fluctuations of the charge deposit | |
1211 | // - gain calibration dependence | |
1212 | // | |
1213 | // Estimation of the radial position of the tracklet | |
16cca13f | 1214 | // |
1fd9389f | 1215 | // For pad row cross the radial position is taken from the xz fit (see above). Otherwise it is taken as the |
1216 | // interpolation point of the tracklet i.e. the point where the error in y of the fit is minimum. The error | |
1217 | // in the y direction of the tracklet is (see AliTRDseedV1::GetCovAt()): | |
1218 | // BEGIN_LATEX | |
1219 | // #sigma_{y} = #sigma^{2}_{y_{0}} + 2xcov(y_{0}, dy/dx) + #sigma^{2}_{dy/dx} | |
1220 | // END_LATEX | |
1221 | // and thus the radial position is: | |
1222 | // BEGIN_LATEX | |
1223 | // x = - cov(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} | |
1224 | // END_LATEX | |
1225 | // | |
1226 | // Estimation of tracklet position error | |
1227 | // | |
1228 | // The error in y direction is the error of the linear fit at the radial position of the tracklet while in the z | |
1229 | // direction is given by the cluster error or pad row cross error. In case of no pad row cross this is given by: | |
1230 | // BEGIN_LATEX | |
1231 | // #sigma_{y} = #sigma^{2}_{y_{0}} - 2cov^{2}(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} + #sigma^{2}_{dy/dx} | |
1232 | // #sigma_{z} = Pad_{length}/12 | |
1233 | // END_LATEX | |
1234 | // For pad row cross the full error is calculated at the radial position of the crossing (see above) and the error | |
1235 | // in z by the width of the crossing region - being a matter of parameterization. | |
1236 | // BEGIN_LATEX | |
1237 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1238 | // END_LATEX | |
1239 | // In case of no tilt correction (default in the barrel tracking) the tilt is taken into account by the rotation of | |
1240 | // the covariance matrix. See AliTRDseedV1::GetCovAt() for details. | |
1241 | // | |
1242 | // Author | |
1243 | // A.Bercuci <A.Bercuci@gsi.de> | |
e4f2f73d | 1244 | |
b72f4eaf | 1245 | if(!IsCalibrated()) Calibrate(); |
e3cf3d02 | 1246 | |
29b87567 | 1247 | const Int_t kClmin = 8; |
010d62b0 | 1248 | |
2f7d6ac8 | 1249 | // get track direction |
1250 | Double_t y0 = fYref[0]; | |
1251 | Double_t dydx = fYref[1]; | |
1252 | Double_t z0 = fZref[0]; | |
1253 | Double_t dzdx = fZref[1]; | |
1254 | Double_t yt, zt; | |
ae4e8b84 | 1255 | |
5f1ae1e7 | 1256 | AliTRDtrackerV1::AliTRDLeastSquare fitterY; |
1257 | AliTRDtrackerV1::AliTRDLeastSquare fitterZ; | |
f301a656 | 1258 | |
29b87567 | 1259 | // book cluster information |
8d2bec9e | 1260 | Double_t qc[kNclusters], xc[kNclusters], yc[kNclusters], zc[kNclusters], sy[kNclusters]; |
e3cf3d02 | 1261 | |
dd8059a8 | 1262 | Int_t n = 0; |
4d6aee34 | 1263 | AliTRDcluster *c=NULL, **jc = &fClusters[0]; |
9eb2d46c | 1264 | for (Int_t ic=0; ic<kNtb; ic++, ++jc) { |
29b87567 | 1265 | xc[ic] = -1.; |
1266 | yc[ic] = 999.; | |
1267 | zc[ic] = 999.; | |
1268 | sy[ic] = 0.; | |
9eb2d46c | 1269 | if(!(c = (*jc))) continue; |
29b87567 | 1270 | if(!c->IsInChamber()) continue; |
9462866a | 1271 | |
29b87567 | 1272 | Float_t w = 1.; |
1273 | if(c->GetNPads()>4) w = .5; | |
1274 | if(c->GetNPads()>5) w = .2; | |
010d62b0 | 1275 | |
1fd9389f | 1276 | // cluster charge |
dd8059a8 | 1277 | qc[n] = TMath::Abs(c->GetQ()); |
1fd9389f | 1278 | // pad row of leading |
1279 | ||
b72f4eaf | 1280 | // Radial cluster position |
e3cf3d02 | 1281 | //Int_t jc = TMath::Max(fN-3, 0); |
1282 | //xc[fN] = c->GetXloc(fT0, fVD, &qc[jc], &xc[jc]/*, z0 - c->GetX()*dzdx*/); | |
b72f4eaf | 1283 | xc[n] = fX0 - c->GetX(); |
1284 | ||
1fd9389f | 1285 | // extrapolated track to cluster position |
dd8059a8 | 1286 | yt = y0 - xc[n]*dydx; |
dd8059a8 | 1287 | zt = z0 - xc[n]*dzdx; |
1fd9389f | 1288 | |
1289 | // Recalculate cluster error based on tracking information | |
1290 | c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?zt:-1., dydx); | |
1291 | sy[n] = TMath::Sqrt(c->GetSigmaY2()); | |
1292 | ||
a2fbb6ec | 1293 | yc[n] = fkReconstructor->GetRecoParam()->UseGAUS() ? |
1fd9389f | 1294 | c->GetYloc(y0, sy[n], GetPadWidth()): c->GetY(); |
1295 | zc[n] = c->GetZ(); | |
1296 | //optional tilt correction | |
1297 | if(tilt) yc[n] -= (GetTilt()*(zc[n] - zt)); | |
1298 | ||
1299 | fitterY.AddPoint(&xc[n], yc[n], TMath::Sqrt(sy[n])); | |
3044dfe5 | 1300 | if(IsRowCross())fitterZ.AddPoint(&xc[n], qc[n], 1.); |
dd8059a8 | 1301 | n++; |
29b87567 | 1302 | } |
3044dfe5 | 1303 | |
47d5d320 | 1304 | // to few clusters |
dd8059a8 | 1305 | if (n < kClmin) return kFALSE; |
2f7d6ac8 | 1306 | |
d937ad7a | 1307 | // fit XY |
2f7d6ac8 | 1308 | fitterY.Eval(); |
5f1ae1e7 | 1309 | fYfit[0] = fitterY.GetFunctionParameter(0); |
1310 | fYfit[1] = -fitterY.GetFunctionParameter(1); | |
d937ad7a | 1311 | // store covariance |
5f1ae1e7 | 1312 | Double_t p[3]; |
1313 | fitterY.GetCovarianceMatrix(p); | |
d937ad7a | 1314 | fCov[0] = p[0]; // variance of y0 |
5f1ae1e7 | 1315 | fCov[1] = p[2]; // covariance of y0, dydx |
1316 | fCov[2] = p[1]; // variance of dydx | |
b1957d3c | 1317 | // the ref radial position is set at the minimum of |
1318 | // the y variance of the tracklet | |
b72f4eaf | 1319 | fX = -fCov[1]/fCov[2]; |
b1957d3c | 1320 | |
1321 | // fit XZ | |
b72f4eaf | 1322 | if(IsRowCross()){ |
e355f67a | 1323 | /* // THE LEADING CLUSTER METHOD |
1fd9389f | 1324 | Float_t xMin = fX0; |
b72f4eaf | 1325 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
1fd9389f | 1326 | AliTRDcluster *c0 =0x0, **kc = &fClusters[kNtb-1]; |
1327 | for(; ic>kNtb; ic--, --jc, --kc){ | |
1328 | if((c0 = (*kc)) && c0->IsInChamber() && (xMin>c0->GetX())) xMin = c0->GetX(); | |
1329 | if(!(c = (*jc))) continue; | |
1330 | if(!c->IsInChamber()) continue; | |
1331 | zc[kNclusters-1] = c->GetZ(); | |
1332 | fX = fX0 - c->GetX(); | |
1333 | } | |
1334 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
1335 | // Error parameterization | |
1336 | fS2Z = fdX*fZref[1]; | |
e355f67a | 1337 | fS2Z *= fS2Z; fS2Z *= 0.2887; // 1/sqrt(12)*/ |
1338 | ||
1fd9389f | 1339 | // THE FIT X-Q PLANE METHOD |
e355f67a | 1340 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
b72f4eaf | 1341 | for(; ic>kNtb; ic--, --jc){ |
1342 | if(!(c = (*jc))) continue; | |
1343 | if(!c->IsInChamber()) continue; | |
1344 | qc[n] = TMath::Abs(c->GetQ()); | |
1345 | xc[n] = fX0 - c->GetX(); | |
1346 | zc[n] = c->GetZ(); | |
1347 | fitterZ.AddPoint(&xc[n], -qc[n], 1.); | |
1348 | n--; | |
1349 | } | |
1350 | // fit XZ | |
1351 | fitterZ.Eval(); | |
5f1ae1e7 | 1352 | if(fitterZ.GetFunctionParameter(1)!=0.){ |
1353 | fX = -fitterZ.GetFunctionParameter(0)/fitterZ.GetFunctionParameter(1); | |
b72f4eaf | 1354 | fX=(fX<0.)?0.:fX; |
1355 | Float_t dl = .5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght(); | |
1356 | fX=(fX> dl)?dl:fX; | |
07bbc13c | 1357 | fX-=.055; // TODO to be understood |
b72f4eaf | 1358 | } |
1359 | ||
1360 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
c850c351 | 1361 | // temporary external error parameterization |
1362 | fS2Z = 0.05+0.4*TMath::Abs(fZref[1]); fS2Z *= fS2Z; | |
1363 | // TODO correct formula | |
1364 | //fS2Z = sigma_x*TMath::Abs(fZref[1]); | |
b1957d3c | 1365 | } else { |
1366 | fZfit[0] = zc[0]; fZfit[1] = 0.; | |
dd8059a8 | 1367 | fS2Z = GetPadLength()*GetPadLength()/12.; |
29b87567 | 1368 | } |
b72f4eaf | 1369 | fS2Y = fCov[0] +2.*fX*fCov[1] + fX*fX*fCov[2]; |
29b87567 | 1370 | return kTRUE; |
e4f2f73d | 1371 | } |
1372 | ||
e4f2f73d | 1373 | |
f29f13a6 | 1374 | /* |
e3cf3d02 | 1375 | //_____________________________________________________________________________ |
1376 | void AliTRDseedV1::FitMI() | |
1377 | { | |
1378 | // | |
1379 | // Fit the seed. | |
1380 | // Marian Ivanov's version | |
1381 | // | |
1382 | // linear fit on the y direction with respect to the reference direction. | |
1383 | // The residuals for each x (x = xc - x0) are deduced from: | |
1384 | // dy = y - yt (1) | |
1385 | // the tilting correction is written : | |
1386 | // y = yc + h*(zc-zt) (2) | |
1387 | // yt = y0+dy/dx*x (3) | |
1388 | // zt = z0+dz/dx*x (4) | |
1389 | // from (1),(2),(3) and (4) | |
1390 | // dy = yc - y0 - (dy/dx + h*dz/dx)*x + h*(zc-z0) | |
1391 | // the last term introduces the correction on y direction due to tilting pads. There are 2 ways to account for this: | |
1392 | // 1. use tilting correction for calculating the y | |
1393 | // 2. neglect tilting correction here and account for it in the error parametrization of the tracklet. | |
1394 | const Float_t kRatio = 0.8; | |
1395 | const Int_t kClmin = 5; | |
1396 | const Float_t kmaxtan = 2; | |
1397 | ||
1398 | if (TMath::Abs(fYref[1]) > kmaxtan){ | |
1399 | //printf("Exit: Abs(fYref[1]) = %3.3f, kmaxtan = %3.3f\n", TMath::Abs(fYref[1]), kmaxtan); | |
1400 | return; // Track inclined too much | |
1401 | } | |
1402 | ||
1403 | Float_t sigmaexp = 0.05 + TMath::Abs(fYref[1] * 0.25); // Expected r.m.s in y direction | |
dd8059a8 | 1404 | Float_t ycrosscor = GetPadLength() * GetTilt() * 0.5; // Y correction for crossing |
e3cf3d02 | 1405 | Int_t fNChange = 0; |
1406 | ||
1407 | Double_t sumw; | |
1408 | Double_t sumwx; | |
1409 | Double_t sumwx2; | |
1410 | Double_t sumwy; | |
1411 | Double_t sumwxy; | |
1412 | Double_t sumwz; | |
1413 | Double_t sumwxz; | |
1414 | ||
1415 | // Buffering: Leave it constant fot Performance issues | |
1416 | Int_t zints[kNtb]; // Histograming of the z coordinate | |
1417 | // Get 1 and second max probable coodinates in z | |
1418 | Int_t zouts[2*kNtb]; | |
1419 | Float_t allowedz[kNtb]; // Allowed z for given time bin | |
1420 | Float_t yres[kNtb]; // Residuals from reference | |
dd8059a8 | 1421 | //Float_t anglecor = GetTilt() * fZref[1]; // Correction to the angle |
e3cf3d02 | 1422 | |
1423 | Float_t pos[3*kNtb]; memset(pos, 0, 3*kNtb*sizeof(Float_t)); | |
1424 | Float_t *fX = &pos[0], *fY = &pos[kNtb], *fZ = &pos[2*kNtb]; | |
1425 | ||
1426 | Int_t fN = 0; AliTRDcluster *c = 0x0; | |
1427 | fN2 = 0; | |
1428 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1429 | yres[i] = 10000.0; | |
1430 | if (!(c = fClusters[i])) continue; | |
1431 | if(!c->IsInChamber()) continue; | |
1432 | // Residual y | |
dd8059a8 | 1433 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
e3cf3d02 | 1434 | fX[i] = fX0 - c->GetX(); |
1435 | fY[i] = c->GetY(); | |
1436 | fZ[i] = c->GetZ(); | |
dd8059a8 | 1437 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); |
e3cf3d02 | 1438 | zints[fN] = Int_t(fZ[i]); |
1439 | fN++; | |
1440 | } | |
1441 | ||
1442 | if (fN < kClmin){ | |
1443 | //printf("Exit fN < kClmin: fN = %d\n", fN); | |
1444 | return; | |
1445 | } | |
1446 | Int_t nz = AliTRDtrackerV1::Freq(fN, zints, zouts, kFALSE); | |
1447 | Float_t fZProb = zouts[0]; | |
1448 | if (nz <= 1) zouts[3] = 0; | |
1449 | if (zouts[1] + zouts[3] < kClmin) { | |
1450 | //printf("Exit zouts[1] = %d, zouts[3] = %d\n",zouts[1],zouts[3]); | |
1451 | return; | |
1452 | } | |
1453 | ||
1454 | // Z distance bigger than pad - length | |
1455 | if (TMath::Abs(zouts[0]-zouts[2]) > 12.0) zouts[3] = 0; | |
1456 | ||
1457 | Int_t breaktime = -1; | |
1458 | Bool_t mbefore = kFALSE; | |
1459 | Int_t cumul[kNtb][2]; | |
1460 | Int_t counts[2] = { 0, 0 }; | |
1461 | ||
1462 | if (zouts[3] >= 3) { | |
1463 | ||
1464 | // | |
1465 | // Find the break time allowing one chage on pad-rows | |
1466 | // with maximal number of accepted clusters | |
1467 | // | |
1468 | fNChange = 1; | |
1469 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1470 | cumul[i][0] = counts[0]; | |
1471 | cumul[i][1] = counts[1]; | |
1472 | if (TMath::Abs(fZ[i]-zouts[0]) < 2) counts[0]++; | |
1473 | if (TMath::Abs(fZ[i]-zouts[2]) < 2) counts[1]++; | |
1474 | } | |
1475 | Int_t maxcount = 0; | |
1476 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1477 | Int_t after = cumul[AliTRDtrackerV1::GetNTimeBins()][0] - cumul[i][0]; | |
1478 | Int_t before = cumul[i][1]; | |
1479 | if (after + before > maxcount) { | |
1480 | maxcount = after + before; | |
1481 | breaktime = i; | |
1482 | mbefore = kFALSE; | |
1483 | } | |
1484 | after = cumul[AliTRDtrackerV1::GetNTimeBins()-1][1] - cumul[i][1]; | |
1485 | before = cumul[i][0]; | |
1486 | if (after + before > maxcount) { | |
1487 | maxcount = after + before; | |
1488 | breaktime = i; | |
1489 | mbefore = kTRUE; | |
1490 | } | |
1491 | } | |
1492 | breaktime -= 1; | |
1493 | } | |
1494 | ||
1495 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1496 | if (i > breaktime) allowedz[i] = mbefore ? zouts[2] : zouts[0]; | |
1497 | if (i <= breaktime) allowedz[i] = (!mbefore) ? zouts[2] : zouts[0]; | |
1498 | } | |
1499 | ||
1500 | if (((allowedz[0] > allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] < 0)) || | |
1501 | ((allowedz[0] < allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] > 0))) { | |
1502 | // | |
1503 | // Tracklet z-direction not in correspondance with track z direction | |
1504 | // | |
1505 | fNChange = 0; | |
1506 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1507 | allowedz[i] = zouts[0]; // Only longest taken | |
1508 | } | |
1509 | } | |
1510 | ||
1511 | if (fNChange > 0) { | |
1512 | // | |
1513 | // Cross pad -row tracklet - take the step change into account | |
1514 | // | |
1515 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1516 | if (!fClusters[i]) continue; | |
1517 | if(!fClusters[i]->IsInChamber()) continue; | |
1518 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1519 | // Residual y | |
dd8059a8 | 1520 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
1521 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); | |
f29f13a6 | 1522 | // if (TMath::Abs(fZ[i] - fZProb) > 2) { |
dd8059a8 | 1523 | // if (fZ[i] > fZProb) yres[i] += GetTilt() * GetPadLength(); |
1524 | // if (fZ[i] < fZProb) yres[i] -= GetTilt() * GetPadLength(); | |
f29f13a6 | 1525 | } |
e3cf3d02 | 1526 | } |
1527 | } | |
1528 | ||
1529 | Double_t yres2[kNtb]; | |
1530 | Double_t mean; | |
1531 | Double_t sigma; | |
1532 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1533 | if (!fClusters[i]) continue; | |
1534 | if(!fClusters[i]->IsInChamber()) continue; | |
1535 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1536 | yres2[fN2] = yres[i]; | |
1537 | fN2++; | |
1538 | } | |
1539 | if (fN2 < kClmin) { | |
1540 | //printf("Exit fN2 < kClmin: fN2 = %d\n", fN2); | |
1541 | fN2 = 0; | |
1542 | return; | |
1543 | } | |
1544 | AliMathBase::EvaluateUni(fN2,yres2,mean,sigma, Int_t(fN2*kRatio-2.)); | |
1545 | if (sigma < sigmaexp * 0.8) { | |
1546 | sigma = sigmaexp; | |
1547 | } | |
1548 | //Float_t fSigmaY = sigma; | |
1549 | ||
1550 | // Reset sums | |
1551 | sumw = 0; | |
1552 | sumwx = 0; | |
1553 | sumwx2 = 0; | |
1554 | sumwy = 0; | |
1555 | sumwxy = 0; | |
1556 | sumwz = 0; | |
1557 | sumwxz = 0; | |
1558 | ||
1559 | fN2 = 0; | |
1560 | Float_t fMeanz = 0; | |
1561 | Float_t fMPads = 0; | |
1562 | fUsable = 0; | |
1563 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1564 | if (!fClusters[i]) continue; | |
1565 | if (!fClusters[i]->IsInChamber()) continue; | |
1566 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2){fClusters[i] = 0x0; continue;} | |
1567 | if (TMath::Abs(yres[i] - mean) > 4.0 * sigma){fClusters[i] = 0x0; continue;} | |
1568 | SETBIT(fUsable,i); | |
1569 | fN2++; | |
1570 | fMPads += fClusters[i]->GetNPads(); | |
1571 | Float_t weight = 1.0; | |
1572 | if (fClusters[i]->GetNPads() > 4) weight = 0.5; | |
1573 | if (fClusters[i]->GetNPads() > 5) weight = 0.2; | |
1574 | ||
1575 | ||
1576 | Double_t x = fX[i]; | |
1577 | //printf("x = %7.3f dy = %7.3f fit %7.3f\n", x, yres[i], fY[i]-yres[i]); | |
1578 | ||
1579 | sumw += weight; | |
1580 | sumwx += x * weight; | |
1581 | sumwx2 += x*x * weight; | |
1582 | sumwy += weight * yres[i]; | |
1583 | sumwxy += weight * (yres[i]) * x; | |
1584 | sumwz += weight * fZ[i]; | |
1585 | sumwxz += weight * fZ[i] * x; | |
1586 | ||
1587 | } | |
1588 | ||
1589 | if (fN2 < kClmin){ | |
1590 | //printf("Exit fN2 < kClmin(2): fN2 = %d\n",fN2); | |
1591 | fN2 = 0; | |
1592 | return; | |
1593 | } | |
1594 | fMeanz = sumwz / sumw; | |
1595 | Float_t correction = 0; | |
1596 | if (fNChange > 0) { | |
1597 | // Tracklet on boundary | |
1598 | if (fMeanz < fZProb) correction = ycrosscor; | |
1599 | if (fMeanz > fZProb) correction = -ycrosscor; | |
1600 | } | |
1601 | ||
1602 | Double_t det = sumw * sumwx2 - sumwx * sumwx; | |
1603 | fYfit[0] = (sumwx2 * sumwy - sumwx * sumwxy) / det; | |
1604 | fYfit[1] = (sumw * sumwxy - sumwx * sumwy) / det; | |
1605 | ||
1606 | fS2Y = 0; | |
1607 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1608 | if (!TESTBIT(fUsable,i)) continue; | |
1609 | Float_t delta = yres[i] - fYfit[0] - fYfit[1] * fX[i]; | |
1610 | fS2Y += delta*delta; | |
1611 | } | |
1612 | fS2Y = TMath::Sqrt(fS2Y / Float_t(fN2-2)); | |
1613 | // TEMPORARY UNTIL covariance properly calculated | |
1614 | fS2Y = TMath::Max(fS2Y, Float_t(.1)); | |
1615 | ||
1616 | fZfit[0] = (sumwx2 * sumwz - sumwx * sumwxz) / det; | |
1617 | fZfit[1] = (sumw * sumwxz - sumwx * sumwz) / det; | |
1618 | // fYfitR[0] += fYref[0] + correction; | |
1619 | // fYfitR[1] += fYref[1]; | |
1620 | // fYfit[0] = fYfitR[0]; | |
1621 | fYfit[1] = -fYfit[1]; | |
1622 | ||
1623 | UpdateUsed(); | |
f29f13a6 | 1624 | }*/ |
e3cf3d02 | 1625 | |
e4f2f73d | 1626 | //___________________________________________________________________ |
203967fc | 1627 | void AliTRDseedV1::Print(Option_t *o) const |
e4f2f73d | 1628 | { |
1629 | // | |
1630 | // Printing the seedstatus | |
1631 | // | |
1632 | ||
b72f4eaf | 1633 | AliInfo(Form("Det[%3d] X0[%7.2f] Pad{L[%5.2f] W[%5.2f] Tilt[%+6.2f]}", fDet, fX0, GetPadLength(), GetPadWidth(), GetTilt())); |
dd8059a8 | 1634 | AliInfo(Form("N[%2d] Nused[%2d] Nshared[%2d] [%d]", GetN(), GetNUsed(), GetNShared(), fN)); |
b72f4eaf | 1635 | AliInfo(Form("FLAGS : RC[%c] Kink[%c] SA[%c]", IsRowCross()?'y':'n', IsKink()?'y':'n', IsStandAlone()?'y':'n')); |
dd8059a8 | 1636 | |
1637 | Double_t cov[3], x=GetX(); | |
1638 | GetCovAt(x, cov); | |
1639 | AliInfo(" | x[cm] | y[cm] | z[cm] | dydx | dzdx |"); | |
1640 | 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 | 1641 | AliInfo(Form("Ref | %7.2f | %7.2f+-%7.2f | %7.2f+-%7.2f| %5.2f | %5.2f |", x, fYref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[0]), fZref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[2]), fYref[1], fZref[1])) |
ee8fb199 | 1642 | AliInfo(Form("P / Pt [GeV/c] = %f / %f", GetMomentum(), fPt)); |
1643 | AliInfo(Form("dEdx [a.u.] = %f / %f / %f / %f / %f/ %f / %f / %f", fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7])); | |
1644 | AliInfo(Form("PID = %5.3f / %5.3f / %5.3f / %5.3f / %5.3f", fProb[0], fProb[1], fProb[2], fProb[3], fProb[4])); | |
203967fc | 1645 | |
1646 | if(strcmp(o, "a")!=0) return; | |
1647 | ||
4dc4dc2e | 1648 | AliTRDcluster* const* jc = &fClusters[0]; |
8d2bec9e | 1649 | for(int ic=0; ic<kNclusters; ic++, jc++) { |
4dc4dc2e | 1650 | if(!(*jc)) continue; |
203967fc | 1651 | (*jc)->Print(o); |
4dc4dc2e | 1652 | } |
e4f2f73d | 1653 | } |
47d5d320 | 1654 | |
203967fc | 1655 | |
1656 | //___________________________________________________________________ | |
1657 | Bool_t AliTRDseedV1::IsEqual(const TObject *o) const | |
1658 | { | |
1659 | // Checks if current instance of the class has the same essential members | |
1660 | // as the given one | |
1661 | ||
1662 | if(!o) return kFALSE; | |
1663 | const AliTRDseedV1 *inTracklet = dynamic_cast<const AliTRDseedV1*>(o); | |
1664 | if(!inTracklet) return kFALSE; | |
1665 | ||
1666 | for (Int_t i = 0; i < 2; i++){ | |
e3cf3d02 | 1667 | if ( fYref[i] != inTracklet->fYref[i] ) return kFALSE; |
1668 | if ( fZref[i] != inTracklet->fZref[i] ) return kFALSE; | |
203967fc | 1669 | } |
1670 | ||
e3cf3d02 | 1671 | if ( fS2Y != inTracklet->fS2Y ) return kFALSE; |
dd8059a8 | 1672 | if ( GetTilt() != inTracklet->GetTilt() ) return kFALSE; |
1673 | if ( GetPadLength() != inTracklet->GetPadLength() ) return kFALSE; | |
203967fc | 1674 | |
8d2bec9e | 1675 | for (Int_t i = 0; i < kNclusters; i++){ |
e3cf3d02 | 1676 | // if ( fX[i] != inTracklet->GetX(i) ) return kFALSE; |
1677 | // if ( fY[i] != inTracklet->GetY(i) ) return kFALSE; | |
1678 | // if ( fZ[i] != inTracklet->GetZ(i) ) return kFALSE; | |
1679 | if ( fIndexes[i] != inTracklet->fIndexes[i] ) return kFALSE; | |
203967fc | 1680 | } |
f29f13a6 | 1681 | // if ( fUsable != inTracklet->fUsable ) return kFALSE; |
203967fc | 1682 | |
1683 | for (Int_t i=0; i < 2; i++){ | |
e3cf3d02 | 1684 | if ( fYfit[i] != inTracklet->fYfit[i] ) return kFALSE; |
1685 | if ( fZfit[i] != inTracklet->fZfit[i] ) return kFALSE; | |
1686 | if ( fLabels[i] != inTracklet->fLabels[i] ) return kFALSE; | |
203967fc | 1687 | } |
1688 | ||
e3cf3d02 | 1689 | /* if ( fMeanz != inTracklet->GetMeanz() ) return kFALSE; |
1690 | if ( fZProb != inTracklet->GetZProb() ) return kFALSE;*/ | |
3e778975 | 1691 | if ( fN != inTracklet->fN ) return kFALSE; |
1692 | //if ( fNUsed != inTracklet->fNUsed ) return kFALSE; | |
e3cf3d02 | 1693 | //if ( fFreq != inTracklet->GetFreq() ) return kFALSE; |
1694 | //if ( fNChange != inTracklet->GetNChange() ) return kFALSE; | |
203967fc | 1695 | |
e3cf3d02 | 1696 | if ( fC != inTracklet->fC ) return kFALSE; |
1697 | //if ( fCC != inTracklet->GetCC() ) return kFALSE; | |
1698 | if ( fChi2 != inTracklet->fChi2 ) return kFALSE; | |
203967fc | 1699 | // if ( fChi2Z != inTracklet->GetChi2Z() ) return kFALSE; |
1700 | ||
e3cf3d02 | 1701 | if ( fDet != inTracklet->fDet ) return kFALSE; |
b25a5e9e | 1702 | if ( fPt != inTracklet->fPt ) return kFALSE; |
e3cf3d02 | 1703 | if ( fdX != inTracklet->fdX ) return kFALSE; |
203967fc | 1704 | |
8d2bec9e | 1705 | for (Int_t iCluster = 0; iCluster < kNclusters; iCluster++){ |
203967fc | 1706 | AliTRDcluster *curCluster = fClusters[iCluster]; |
e3cf3d02 | 1707 | AliTRDcluster *inCluster = inTracklet->fClusters[iCluster]; |
203967fc | 1708 | if (curCluster && inCluster){ |
1709 | if (! curCluster->IsEqual(inCluster) ) { | |
1710 | curCluster->Print(); | |
1711 | inCluster->Print(); | |
1712 | return kFALSE; | |
1713 | } | |
1714 | } else { | |
1715 | // if one cluster exists, and corresponding | |
1716 | // in other tracklet doesn't - return kFALSE | |
1717 | if(curCluster || inCluster) return kFALSE; | |
1718 | } | |
1719 | } | |
1720 | return kTRUE; | |
1721 | } | |
5d401b45 | 1722 |