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