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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 | //_____________________________________________________________________________ |
980d5a2a | 261 | void AliTRDseedV1::Reset(Option_t *opt) |
e3cf3d02 | 262 | { |
980d5a2a | 263 | // |
264 | // Reset seed. If option opt="c" is given only cluster arrays are cleared. | |
265 | // | |
266 | for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1; | |
267 | memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*)); | |
560e5c05 | 268 | fN=0; SetBit(kRowCross, kFALSE); |
980d5a2a | 269 | if(strcmp(opt, "c")==0) return; |
270 | ||
e3cf3d02 | 271 | fExB=0.;fVD=0.;fT0=0.;fS2PRF=0.; |
272 | fDiffL=0.;fDiffT=0.; | |
3e778975 | 273 | fClusterIdx=0; |
7c3eecb8 | 274 | fErrorMsg = 0; |
dd8059a8 | 275 | fDet=-1; |
b25a5e9e | 276 | fPt=0.; |
e3cf3d02 | 277 | fdX=0.;fX0=0.; fX=0.; fY=0.; fZ=0.; |
278 | fS2Y=0.; fS2Z=0.; | |
279 | fC=0.; fChi2 = 0.; | |
280 | ||
dd8059a8 | 281 | memset(fPad, 0, 3*sizeof(Float_t)); |
e3cf3d02 | 282 | fYref[0] = 0.; fYref[1] = 0.; |
283 | fZref[0] = 0.; fZref[1] = 0.; | |
284 | fYfit[0] = 0.; fYfit[1] = 0.; | |
285 | fZfit[0] = 0.; fZfit[1] = 0.; | |
8d2bec9e | 286 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); |
e3cf3d02 | 287 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.; |
288 | fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels | |
289 | fLabels[2]=0; // number of different labels for tracklet | |
16cca13f | 290 | memset(fRefCov, 0, 7*sizeof(Double_t)); |
e3cf3d02 | 291 | // covariance matrix [diagonal] |
292 | // default sy = 200um and sz = 2.3 cm | |
293 | fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3; | |
294 | } | |
295 | ||
b1957d3c | 296 | //____________________________________________________________________ |
16cca13f | 297 | void AliTRDseedV1::Update(const AliTRDtrackV1 *trk) |
b1957d3c | 298 | { |
299 | // update tracklet reference position from the TRD track | |
b1957d3c | 300 | |
e3cf3d02 | 301 | Double_t fSnp = trk->GetSnp(); |
302 | Double_t fTgl = trk->GetTgl(); | |
b25a5e9e | 303 | fPt = trk->Pt(); |
1fd9389f | 304 | Double_t norm =1./TMath::Sqrt(1. - fSnp*fSnp); |
305 | fYref[1] = fSnp*norm; | |
306 | fZref[1] = fTgl*norm; | |
b1957d3c | 307 | SetCovRef(trk->GetCovariance()); |
308 | ||
309 | Double_t dx = trk->GetX() - fX0; | |
310 | fYref[0] = trk->GetY() - dx*fYref[1]; | |
311 | fZref[0] = trk->GetZ() - dx*fZref[1]; | |
312 | } | |
313 | ||
e3cf3d02 | 314 | //_____________________________________________________________________________ |
315 | void AliTRDseedV1::UpdateUsed() | |
316 | { | |
317 | // | |
f29f13a6 | 318 | // Calculate number of used clusers in the tracklet |
e3cf3d02 | 319 | // |
320 | ||
3e778975 | 321 | Int_t nused = 0, nshared = 0; |
8d2bec9e | 322 | for (Int_t i = kNclusters; i--; ) { |
e3cf3d02 | 323 | if (!fClusters[i]) continue; |
3e778975 | 324 | if(fClusters[i]->IsUsed()){ |
325 | nused++; | |
326 | } else if(fClusters[i]->IsShared()){ | |
327 | if(IsStandAlone()) nused++; | |
328 | else nshared++; | |
329 | } | |
e3cf3d02 | 330 | } |
3e778975 | 331 | SetNUsed(nused); |
332 | SetNShared(nshared); | |
e3cf3d02 | 333 | } |
334 | ||
335 | //_____________________________________________________________________________ | |
336 | void AliTRDseedV1::UseClusters() | |
337 | { | |
338 | // | |
339 | // Use clusters | |
340 | // | |
f29f13a6 | 341 | // In stand alone mode: |
342 | // Clusters which are marked as used or shared from another track are | |
343 | // removed from the tracklet | |
344 | // | |
345 | // In barrel mode: | |
346 | // - Clusters which are used by another track become shared | |
347 | // - Clusters which are attached to a kink track become shared | |
348 | // | |
e3cf3d02 | 349 | AliTRDcluster **c = &fClusters[0]; |
8d2bec9e | 350 | for (Int_t ic=kNclusters; ic--; c++) { |
e3cf3d02 | 351 | if(!(*c)) continue; |
f29f13a6 | 352 | if(IsStandAlone()){ |
353 | if((*c)->IsShared() || (*c)->IsUsed()){ | |
b82b4de1 | 354 | if((*c)->IsShared()) SetNShared(GetNShared()-1); |
355 | else SetNUsed(GetNUsed()-1); | |
4d6aee34 | 356 | (*c) = NULL; |
f29f13a6 | 357 | fIndexes[ic] = -1; |
3e778975 | 358 | SetN(GetN()-1); |
3e778975 | 359 | continue; |
f29f13a6 | 360 | } |
3e778975 | 361 | } else { |
f29f13a6 | 362 | if((*c)->IsUsed() || IsKink()){ |
3e778975 | 363 | (*c)->SetShared(); |
364 | continue; | |
f29f13a6 | 365 | } |
366 | } | |
367 | (*c)->Use(); | |
e3cf3d02 | 368 | } |
369 | } | |
370 | ||
371 | ||
f29f13a6 | 372 | |
bcb6fb78 | 373 | //____________________________________________________________________ |
374 | void AliTRDseedV1::CookdEdx(Int_t nslices) | |
375 | { | |
376 | // Calculates average dE/dx for all slices and store them in the internal array fdEdx. | |
377 | // | |
378 | // Parameters: | |
379 | // nslices : number of slices for which dE/dx should be calculated | |
380 | // Output: | |
381 | // store results in the internal array fdEdx. This can be accessed with the method | |
382 | // AliTRDseedV1::GetdEdx() | |
383 | // | |
384 | // Detailed description | |
385 | // Calculates average dE/dx for all slices. Depending on the PID methode | |
386 | // the number of slices can be 3 (LQ) or 8(NN). | |
3ee48d6e | 387 | // The calculation of dQ/dl are done using the tracklet fit results (see AliTRDseedV1::GetdQdl(Int_t)) |
bcb6fb78 | 388 | // |
389 | // The following effects are included in the calculation: | |
390 | // 1. calibration values for t0 and vdrift (using x coordinate to calculate slice) | |
391 | // 2. cluster sharing (optional see AliTRDrecoParam::SetClusterSharing()) | |
392 | // 3. cluster size | |
393 | // | |
394 | ||
8d2bec9e | 395 | Int_t nclusters[kNslices]; |
396 | memset(nclusters, 0, kNslices*sizeof(Int_t)); | |
397 | memset(fdEdx, 0, kNslices*sizeof(Float_t)); | |
e3cf3d02 | 398 | |
e73abf77 | 399 | const Double_t kDriftLength = (.5 * AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick()); |
29b87567 | 400 | |
4d6aee34 | 401 | AliTRDcluster *c = NULL; |
29b87567 | 402 | for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){ |
8e709c82 | 403 | if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue; |
e73abf77 | 404 | Float_t dx = TMath::Abs(fX0 - c->GetX()); |
29b87567 | 405 | |
406 | // Filter clusters for dE/dx calculation | |
407 | ||
408 | // 1.consider calibration effects for slice determination | |
e73abf77 | 409 | Int_t slice; |
410 | if(dx<kDriftLength){ // TODO should be replaced by c->IsInChamber() | |
411 | slice = Int_t(dx * nslices / kDriftLength); | |
412 | } else slice = c->GetX() < fX0 ? nslices-1 : 0; | |
413 | ||
414 | ||
29b87567 | 415 | // 2. take sharing into account |
3e778975 | 416 | Float_t w = /*c->IsShared() ? .5 :*/ 1.; |
29b87567 | 417 | |
418 | // 3. take into account large clusters TODO | |
419 | //w *= c->GetNPads() > 3 ? .8 : 1.; | |
420 | ||
421 | //CHECK !!! | |
422 | fdEdx[slice] += w * GetdQdl(ic); //fdQdl[ic]; | |
423 | nclusters[slice]++; | |
424 | } // End of loop over clusters | |
425 | ||
4d6aee34 | 426 | //if(fkReconstructor->GetPIDMethod() == AliTRDReconstructor::kLQPID){ |
0d83b3a5 | 427 | if(nslices == AliTRDpidUtil::kLQslices){ |
29b87567 | 428 | // calculate mean charge per slice (only LQ PID) |
429 | for(int is=0; is<nslices; is++){ | |
430 | if(nclusters[is]) fdEdx[is] /= nclusters[is]; | |
431 | } | |
432 | } | |
bcb6fb78 | 433 | } |
434 | ||
e3cf3d02 | 435 | //_____________________________________________________________________________ |
436 | void AliTRDseedV1::CookLabels() | |
437 | { | |
438 | // | |
439 | // Cook 2 labels for seed | |
440 | // | |
441 | ||
442 | Int_t labels[200]; | |
443 | Int_t out[200]; | |
444 | Int_t nlab = 0; | |
8d2bec9e | 445 | for (Int_t i = 0; i < kNclusters; i++) { |
e3cf3d02 | 446 | if (!fClusters[i]) continue; |
447 | for (Int_t ilab = 0; ilab < 3; ilab++) { | |
448 | if (fClusters[i]->GetLabel(ilab) >= 0) { | |
449 | labels[nlab] = fClusters[i]->GetLabel(ilab); | |
450 | nlab++; | |
451 | } | |
452 | } | |
453 | } | |
454 | ||
fac58f00 | 455 | fLabels[2] = AliMathBase::Freq(nlab,labels,out,kTRUE); |
e3cf3d02 | 456 | fLabels[0] = out[0]; |
457 | if ((fLabels[2] > 1) && (out[3] > 1)) fLabels[1] = out[2]; | |
458 | } | |
459 | ||
460 | ||
bcb6fb78 | 461 | //____________________________________________________________________ |
0b433f72 | 462 | Float_t AliTRDseedV1::GetdQdl(Int_t ic, Float_t *dl) const |
bcb6fb78 | 463 | { |
3ee48d6e | 464 | // Using the linear approximation of the track inside one TRD chamber (TRD tracklet) |
465 | // the charge per unit length can be written as: | |
466 | // BEGIN_LATEX | |
500851ab | 467 | // #frac{dq}{dl} = #frac{q_{c}}{dx * #sqrt{1 + #(){#frac{dy}{dx}}^{2}_{fit} + #(){#frac{dz}{dx}}^{2}_{ref}}} |
3ee48d6e | 468 | // END_LATEX |
469 | // where qc is the total charge collected in the current time bin and dx is the length | |
0b433f72 | 470 | // of the time bin. |
471 | // The following correction are applied : | |
472 | // - charge : pad row cross corrections | |
473 | // [diffusion and TRF assymetry] TODO | |
474 | // - dx : anisochronity, track inclination - see Fit and AliTRDcluster::GetXloc() | |
475 | // and AliTRDcluster::GetYloc() for the effects taken into account | |
3ee48d6e | 476 | // |
0fa1a8ee | 477 | //Begin_Html |
478 | //<img src="TRD/trackletDQDT.gif"> | |
479 | //End_Html | |
480 | // In the picture the energy loss measured on the tracklet as a function of drift time [left] and respectively | |
481 | // drift length [right] for different particle species is displayed. | |
3ee48d6e | 482 | // Author : Alex Bercuci <A.Bercuci@gsi.de> |
483 | // | |
484 | Float_t dq = 0.; | |
5d401b45 | 485 | // check whether both clusters are inside the chamber |
486 | Bool_t hasClusterInChamber = kFALSE; | |
487 | if(fClusters[ic] && fClusters[ic]->IsInChamber()){ | |
488 | hasClusterInChamber = kTRUE; | |
1742f24c | 489 | dq += TMath::Abs(fClusters[ic]->GetQ()); |
5d401b45 | 490 | }else if(fClusters[ic+kNtb] && fClusters[ic+kNtb]->IsInChamber()){ |
491 | hasClusterInChamber = kTRUE; | |
492 | dq += TMath::Abs(fClusters[ic+kNtb]->GetQ()); | |
1742f24c | 493 | } |
5d401b45 | 494 | if(!hasClusterInChamber) return 0.; |
0b433f72 | 495 | if(dq<1.e-3) return 0.; |
3ee48d6e | 496 | |
a2abcbc5 | 497 | Double_t dx = fdX; |
498 | if(ic-1>=0 && ic+1<kNtb){ | |
499 | Float_t x2(0.), x1(0.); | |
5d401b45 | 500 | // try to estimate upper radial position (find the cluster which is inside the chamber) |
501 | if(fClusters[ic-1] && fClusters[ic-1]->IsInChamber()) x2 = fClusters[ic-1]->GetX(); | |
502 | else if(fClusters[ic-1+kNtb] && fClusters[ic-1+kNtb]->IsInChamber()) x2 = fClusters[ic-1+kNtb]->GetX(); | |
503 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x2 = fClusters[ic]->GetX()+fdX; | |
a2abcbc5 | 504 | else x2 = fClusters[ic+kNtb]->GetX()+fdX; |
5d401b45 | 505 | // try to estimate lower radial position (find the cluster which is inside the chamber) |
506 | if(fClusters[ic+1] && fClusters[ic+1]->IsInChamber()) x1 = fClusters[ic+1]->GetX(); | |
507 | else if(fClusters[ic+1+kNtb] && fClusters[ic+1+kNtb]->IsInChamber()) x1 = fClusters[ic+1+kNtb]->GetX(); | |
508 | else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x1 = fClusters[ic]->GetX()-fdX; | |
a2abcbc5 | 509 | else x1 = fClusters[ic+kNtb]->GetX()-fdX; |
510 | ||
511 | dx = .5*(x2 - x1); | |
512 | } | |
0b433f72 | 513 | dx *= TMath::Sqrt(1. + fYfit[1]*fYfit[1] + fZref[1]*fZref[1]); |
0b433f72 | 514 | if(dl) (*dl) = dx; |
283604d2 | 515 | if(dx>1.e-9) return dq/dx; |
516 | else return 0.; | |
bcb6fb78 | 517 | } |
518 | ||
0b433f72 | 519 | //____________________________________________________________ |
520 | Float_t AliTRDseedV1::GetMomentum(Float_t *err) const | |
521 | { | |
522 | // Returns momentum of the track after update with the current tracklet as: | |
523 | // BEGIN_LATEX | |
524 | // p=#frac{1}{1/p_{t}} #sqrt{1+tgl^{2}} | |
525 | // END_LATEX | |
526 | // and optionally the momentum error (if err is not null). | |
527 | // The estimated variance of the momentum is given by: | |
528 | // BEGIN_LATEX | |
529 | // #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}) | |
530 | // END_LATEX | |
531 | // which can be simplified to | |
532 | // BEGIN_LATEX | |
533 | // #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} | |
534 | // END_LATEX | |
535 | // | |
536 | ||
537 | Double_t p = fPt*TMath::Sqrt(1.+fZref[1]*fZref[1]); | |
538 | Double_t p2 = p*p; | |
539 | Double_t tgl2 = fZref[1]*fZref[1]; | |
540 | Double_t pt2 = fPt*fPt; | |
541 | if(err){ | |
542 | Double_t s2 = | |
543 | p2*tgl2*pt2*pt2*fRefCov[4] | |
544 | -2.*p2*fZref[1]*fPt*pt2*fRefCov[5] | |
545 | +p2*pt2*fRefCov[6]; | |
546 | (*err) = TMath::Sqrt(s2); | |
547 | } | |
548 | return p; | |
549 | } | |
550 | ||
551 | ||
0906e73e | 552 | //____________________________________________________________________ |
3e778975 | 553 | Float_t* AliTRDseedV1::GetProbability(Bool_t force) |
0906e73e | 554 | { |
3e778975 | 555 | if(!force) return &fProb[0]; |
4d6aee34 | 556 | if(!CookPID()) return NULL; |
3e778975 | 557 | return &fProb[0]; |
558 | } | |
559 | ||
560 | //____________________________________________________________ | |
561 | Bool_t AliTRDseedV1::CookPID() | |
562 | { | |
0906e73e | 563 | // Fill probability array for tracklet from the DB. |
564 | // | |
565 | // Parameters | |
566 | // | |
567 | // Output | |
4d6aee34 | 568 | // returns pointer to the probability array and NULL if missing DB access |
0906e73e | 569 | // |
2a3191bb | 570 | // Retrieve PID probabilities for e+-, mu+-, K+-, pi+- and p+- from the DB according to tracklet information: |
571 | // - estimated momentum at tracklet reference point | |
572 | // - dE/dx measurements | |
573 | // - tracklet length | |
574 | // - TRD layer | |
575 | // According to the steering settings specified in the reconstruction one of the following methods are used | |
576 | // - Neural Network [default] - option "nn" | |
577 | // - 2D Likelihood - option "!nn" | |
0906e73e | 578 | |
0906e73e | 579 | AliTRDcalibDB *calibration = AliTRDcalibDB::Instance(); |
580 | if (!calibration) { | |
581 | AliError("No access to calibration data"); | |
3e778975 | 582 | return kFALSE; |
0906e73e | 583 | } |
584 | ||
4d6aee34 | 585 | if (!fkReconstructor) { |
3a039a31 | 586 | AliError("Reconstructor not set."); |
3e778975 | 587 | return kFALSE; |
4ba1d6ae | 588 | } |
589 | ||
0906e73e | 590 | // Retrieve the CDB container class with the parametric detector response |
4d6aee34 | 591 | const AliTRDCalPID *pd = calibration->GetPIDObject(fkReconstructor->GetPIDMethod()); |
0906e73e | 592 | if (!pd) { |
593 | AliError("No access to AliTRDCalPID object"); | |
3e778975 | 594 | return kFALSE; |
0906e73e | 595 | } |
10f75631 | 596 | |
29b87567 | 597 | // calculate tracklet length TO DO |
560e5c05 | 598 | Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick())/ TMath::Sqrt((1.0 - GetSnp()*GetSnp()) / (1.0 + GetTgl()*GetTgl())); |
0906e73e | 599 | |
600 | //calculate dE/dx | |
4d6aee34 | 601 | CookdEdx(fkReconstructor->GetNdEdxSlices()); |
560e5c05 | 602 | AliDebug(4, Form("PID p[%f] dEdx[%7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f] l[%f]", GetMomentum(), fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7], length)); |
0217fcd0 | 603 | |
0906e73e | 604 | // Sets the a priori probabilities |
f83cd814 | 605 | for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) |
606 | fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, GetPlane()); | |
f301a656 | 607 | |
3e778975 | 608 | return kTRUE; |
0906e73e | 609 | } |
610 | ||
e4f2f73d | 611 | //____________________________________________________________________ |
612 | Float_t AliTRDseedV1::GetQuality(Bool_t kZcorr) const | |
613 | { | |
614 | // | |
615 | // Returns a quality measurement of the current seed | |
616 | // | |
617 | ||
dd8059a8 | 618 | Float_t zcorr = kZcorr ? GetTilt() * (fZfit[0] - fZref[0]) : 0.; |
29b87567 | 619 | return |
3e778975 | 620 | .5 * TMath::Abs(18.0 - GetN()) |
29b87567 | 621 | + 10.* TMath::Abs(fYfit[1] - fYref[1]) |
622 | + 5. * TMath::Abs(fYfit[0] - fYref[0] + zcorr) | |
dd8059a8 | 623 | + 2. * TMath::Abs(fZfit[0] - fZref[0]) / GetPadLength(); |
e4f2f73d | 624 | } |
625 | ||
0906e73e | 626 | //____________________________________________________________________ |
d937ad7a | 627 | void AliTRDseedV1::GetCovAt(Double_t x, Double_t *cov) const |
0906e73e | 628 | { |
d937ad7a | 629 | // Computes covariance in the y-z plane at radial point x (in tracking coordinates) |
630 | // and returns the results in the preallocated array cov[3] as : | |
631 | // cov[0] = Var(y) | |
632 | // cov[1] = Cov(yz) | |
633 | // cov[2] = Var(z) | |
634 | // | |
635 | // Details | |
636 | // | |
637 | // For the linear transformation | |
638 | // BEGIN_LATEX | |
639 | // Y = T_{x} X^{T} | |
640 | // END_LATEX | |
641 | // The error propagation has the general form | |
642 | // BEGIN_LATEX | |
643 | // C_{Y} = T_{x} C_{X} T_{x}^{T} | |
644 | // END_LATEX | |
645 | // We apply this formula 2 times. First to calculate the covariance of the tracklet | |
646 | // at point x we consider: | |
647 | // BEGIN_LATEX | |
648 | // T_{x} = (1 x); X=(y0 dy/dx); C_{X}=#(){#splitline{Var(y0) Cov(y0, dy/dx)}{Cov(y0, dy/dx) Var(dy/dx)}} | |
649 | // END_LATEX | |
650 | // and secondly to take into account the tilt angle | |
651 | // BEGIN_LATEX | |
652 | // T_{#alpha} = #(){#splitline{cos(#alpha) __ sin(#alpha)}{-sin(#alpha) __ cos(#alpha)}}; X=(y z); C_{X}=#(){#splitline{Var(y) 0}{0 Var(z)}} | |
653 | // END_LATEX | |
654 | // | |
655 | // using simple trigonometrics one can write for this last case | |
656 | // BEGIN_LATEX | |
657 | // 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})}} | |
658 | // END_LATEX | |
659 | // which can be aproximated for small alphas (2 deg) with | |
660 | // BEGIN_LATEX | |
661 | // 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}}} | |
662 | // END_LATEX | |
663 | // | |
664 | // before applying the tilt rotation we also apply systematic uncertainties to the tracklet | |
665 | // position which can be tunned from outside via the AliTRDrecoParam::SetSysCovMatrix(). They might | |
666 | // account for extra misalignment/miscalibration uncertainties. | |
667 | // | |
668 | // Author : | |
669 | // Alex Bercuci <A.Bercuci@gsi.de> | |
670 | // Date : Jan 8th 2009 | |
671 | // | |
b1957d3c | 672 | |
673 | ||
d937ad7a | 674 | Double_t xr = fX0-x; |
675 | Double_t sy2 = fCov[0] +2.*xr*fCov[1] + xr*xr*fCov[2]; | |
b72f4eaf | 676 | Double_t sz2 = fS2Z; |
677 | //GetPadLength()*GetPadLength()/12.; | |
0906e73e | 678 | |
d937ad7a | 679 | // insert systematic uncertainties |
4d6aee34 | 680 | if(fkReconstructor){ |
bb2db46c | 681 | Double_t sys[15]; memset(sys, 0, 15*sizeof(Double_t)); |
4d6aee34 | 682 | fkReconstructor->GetRecoParam()->GetSysCovMatrix(sys); |
bb2db46c | 683 | sy2 += sys[0]; |
684 | sz2 += sys[1]; | |
685 | } | |
d937ad7a | 686 | // rotate covariance matrix |
dd8059a8 | 687 | Double_t t2 = GetTilt()*GetTilt(); |
d937ad7a | 688 | Double_t correction = 1./(1. + t2); |
689 | cov[0] = (sy2+t2*sz2)*correction; | |
dd8059a8 | 690 | cov[1] = GetTilt()*(sz2 - sy2)*correction; |
d937ad7a | 691 | cov[2] = (t2*sy2+sz2)*correction; |
b72f4eaf | 692 | |
693 | //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 | 694 | } |
eb38ed55 | 695 | |
bb2db46c | 696 | //____________________________________________________________ |
4d6aee34 | 697 | Double_t AliTRDseedV1::GetCovSqrt(const Double_t * const c, Double_t *d) |
bb2db46c | 698 | { |
699 | // Helper function to calculate the square root of the covariance matrix. | |
700 | // The input matrix is stored in the vector c and the result in the vector d. | |
41b7c7b6 | 701 | // Both arrays have to be initialized by the user with at least 3 elements. Return negative in case of failure. |
bb2db46c | 702 | // |
ec3f0161 | 703 | // For calculating the square root of the symmetric matrix c |
704 | // the following relation is used: | |
bb2db46c | 705 | // BEGIN_LATEX |
ec3f0161 | 706 | // C^{1/2} = VD^{1/2}V^{-1} |
bb2db46c | 707 | // END_LATEX |
41b7c7b6 | 708 | // with V being the matrix with the n eigenvectors as columns. |
ec3f0161 | 709 | // In case C is symmetric the followings are true: |
710 | // - matrix D is diagonal with the diagonal given by the eigenvalues of C | |
41b7c7b6 | 711 | // - V = V^{-1} |
bb2db46c | 712 | // |
713 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
714 | // Date Mar 19 2009 | |
715 | ||
4d6aee34 | 716 | Double_t l[2], // eigenvalues |
717 | v[3]; // eigenvectors | |
bb2db46c | 718 | // the secular equation and its solution : |
719 | // (c[0]-L)(c[2]-L)-c[1]^2 = 0 | |
720 | // L^2 - L*Tr(c)+DET(c) = 0 | |
721 | // L12 = [Tr(c) +- sqrt(Tr(c)^2-4*DET(c))]/2 | |
4d6aee34 | 722 | Double_t tr = c[0]+c[2], // trace |
723 | det = c[0]*c[2]-c[1]*c[1]; // determinant | |
724 | if(TMath::Abs(det)<1.e-20) return -1.; | |
725 | Double_t dd = TMath::Sqrt(tr*tr - 4*det); | |
726 | l[0] = .5*(tr + dd); | |
727 | l[1] = .5*(tr - dd); | |
728 | if(l[0]<0. || l[1]<0.) return -1.; | |
41b7c7b6 | 729 | |
730 | // the sym V matrix | |
731 | // | v00 v10| | |
732 | // | v10 v11| | |
4d6aee34 | 733 | Double_t tmp = (l[0]-c[0])/c[1]; |
734 | v[0] = TMath::Sqrt(1./(tmp*tmp+1)); | |
735 | v[1] = tmp*v[0]; | |
736 | v[2] = v[1]*c[1]/(l[1]-c[2]); | |
41b7c7b6 | 737 | // the VD^{1/2}V is: |
4d6aee34 | 738 | l[0] = TMath::Sqrt(l[0]); l[1] = TMath::Sqrt(l[1]); |
739 | d[0] = v[0]*v[0]*l[0]+v[1]*v[1]*l[1]; | |
740 | d[1] = v[0]*v[1]*l[0]+v[1]*v[2]*l[1]; | |
741 | d[2] = v[1]*v[1]*l[0]+v[2]*v[2]*l[1]; | |
bb2db46c | 742 | |
743 | return 1.; | |
744 | } | |
745 | ||
746 | //____________________________________________________________ | |
4d6aee34 | 747 | Double_t AliTRDseedV1::GetCovInv(const Double_t * const c, Double_t *d) |
bb2db46c | 748 | { |
749 | // Helper function to calculate the inverse of the covariance matrix. | |
750 | // The input matrix is stored in the vector c and the result in the vector d. | |
751 | // Both arrays have to be initialized by the user with at least 3 elements | |
752 | // The return value is the determinant or 0 in case of singularity. | |
753 | // | |
754 | // Author A.Bercuci <A.Bercuci@gsi.de> | |
755 | // Date Mar 19 2009 | |
756 | ||
4d6aee34 | 757 | Double_t det = c[0]*c[2] - c[1]*c[1]; |
758 | if(TMath::Abs(det)<1.e-20) return 0.; | |
759 | Double_t invDet = 1./det; | |
760 | d[0] = c[2]*invDet; | |
761 | d[1] =-c[1]*invDet; | |
762 | d[2] = c[0]*invDet; | |
763 | return det; | |
bb2db46c | 764 | } |
0906e73e | 765 | |
b72f4eaf | 766 | //____________________________________________________________________ |
767 | UShort_t AliTRDseedV1::GetVolumeId() const | |
768 | { | |
769 | Int_t ic=0; | |
770 | while(ic<kNclusters && !fClusters[ic]) ic++; | |
771 | return fClusters[ic] ? fClusters[ic]->GetVolumeId() : 0; | |
772 | } | |
773 | ||
f301a656 | 774 | //____________________________________________________________________ |
775 | TLinearFitter* AliTRDseedV1::GetFitterY() | |
776 | { | |
777 | if(!fgFitterY) fgFitterY = new TLinearFitter(1, "pol1"); | |
778 | fgFitterY->ClearPoints(); | |
779 | return fgFitterY; | |
780 | } | |
781 | ||
782 | //____________________________________________________________________ | |
783 | TLinearFitter* AliTRDseedV1::GetFitterZ() | |
784 | { | |
785 | if(!fgFitterZ) fgFitterZ = new TLinearFitter(1, "pol1"); | |
786 | fgFitterZ->ClearPoints(); | |
787 | return fgFitterZ; | |
788 | } | |
b72f4eaf | 789 | |
d937ad7a | 790 | //____________________________________________________________________ |
e3cf3d02 | 791 | void AliTRDseedV1::Calibrate() |
d937ad7a | 792 | { |
e3cf3d02 | 793 | // Retrieve calibration and position parameters from OCDB. |
794 | // The following information are used | |
d937ad7a | 795 | // - detector index |
e3cf3d02 | 796 | // - column and row position of first attached cluster. If no clusters are attached |
797 | // to the tracklet a random central chamber position (c=70, r=7) will be used. | |
798 | // | |
799 | // The following information is cached in the tracklet | |
800 | // t0 (trigger delay) | |
801 | // drift velocity | |
802 | // PRF width | |
803 | // omega*tau = tg(a_L) | |
804 | // diffusion coefficients (longitudinal and transversal) | |
d937ad7a | 805 | // |
806 | // Author : | |
807 | // Alex Bercuci <A.Bercuci@gsi.de> | |
808 | // Date : Jan 8th 2009 | |
809 | // | |
eb38ed55 | 810 | |
d937ad7a | 811 | AliCDBManager *cdb = AliCDBManager::Instance(); |
812 | if(cdb->GetRun() < 0){ | |
813 | AliError("OCDB manager not properly initialized"); | |
814 | return; | |
815 | } | |
0906e73e | 816 | |
e3cf3d02 | 817 | AliTRDcalibDB *calib = AliTRDcalibDB::Instance(); |
818 | AliTRDCalROC *vdROC = calib->GetVdriftROC(fDet), | |
819 | *t0ROC = calib->GetT0ROC(fDet);; | |
820 | const AliTRDCalDet *vdDet = calib->GetVdriftDet(); | |
821 | const AliTRDCalDet *t0Det = calib->GetT0Det(); | |
d937ad7a | 822 | |
823 | Int_t col = 70, row = 7; | |
824 | AliTRDcluster **c = &fClusters[0]; | |
3e778975 | 825 | if(GetN()){ |
d937ad7a | 826 | Int_t ic = 0; |
8d2bec9e | 827 | while (ic<kNclusters && !(*c)){ic++; c++;} |
d937ad7a | 828 | if(*c){ |
829 | col = (*c)->GetPadCol(); | |
830 | row = (*c)->GetPadRow(); | |
831 | } | |
832 | } | |
3a039a31 | 833 | |
e17f4785 | 834 | fT0 = (t0Det->GetValue(fDet) + t0ROC->GetValue(col,row)) / AliTRDCommonParam::Instance()->GetSamplingFrequency(); |
e3cf3d02 | 835 | fVD = vdDet->GetValue(fDet) * vdROC->GetValue(col, row); |
836 | fS2PRF = calib->GetPRFWidth(fDet, col, row); fS2PRF *= fS2PRF; | |
837 | fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVD); | |
838 | AliTRDCommonParam::Instance()->GetDiffCoeff(fDiffL, | |
839 | fDiffT, fVD); | |
840 | SetBit(kCalib, kTRUE); | |
0906e73e | 841 | } |
842 | ||
0906e73e | 843 | //____________________________________________________________________ |
29b87567 | 844 | void AliTRDseedV1::SetOwner() |
0906e73e | 845 | { |
29b87567 | 846 | //AliInfo(Form("own [%s] fOwner[%s]", own?"YES":"NO", fOwner?"YES":"NO")); |
847 | ||
848 | if(TestBit(kOwner)) return; | |
8d2bec9e | 849 | for(int ic=0; ic<kNclusters; ic++){ |
29b87567 | 850 | if(!fClusters[ic]) continue; |
851 | fClusters[ic] = new AliTRDcluster(*fClusters[ic]); | |
852 | } | |
853 | SetBit(kOwner); | |
0906e73e | 854 | } |
855 | ||
eb2b4f91 | 856 | //____________________________________________________________ |
857 | void AliTRDseedV1::SetPadPlane(AliTRDpadPlane *p) | |
858 | { | |
859 | // Shortcut method to initialize pad geometry. | |
860 | if(!p) return; | |
861 | SetTilt(TMath::Tan(TMath::DegToRad()*p->GetTiltingAngle())); | |
862 | SetPadLength(p->GetLengthIPad()); | |
863 | SetPadWidth(p->GetWidthIPad()); | |
864 | } | |
865 | ||
866 | ||
e4f2f73d | 867 | //____________________________________________________________________ |
4d6aee34 | 868 | Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *const chamber, Bool_t tilt) |
e4f2f73d | 869 | { |
1fd9389f | 870 | // |
871 | // Projective algorithm to attach clusters to seeding tracklets. The following steps are performed : | |
872 | // 1. Collapse x coordinate for the full detector plane | |
873 | // 2. truncated mean on y (r-phi) direction | |
874 | // 3. purge clusters | |
875 | // 4. truncated mean on z direction | |
876 | // 5. purge clusters | |
877 | // | |
878 | // Parameters | |
879 | // - chamber : pointer to tracking chamber container used to search the tracklet | |
880 | // - tilt : switch for tilt correction during road building [default true] | |
881 | // Output | |
882 | // - true : if tracklet found successfully. Failure can happend because of the following: | |
883 | // - | |
884 | // Detailed description | |
885 | // | |
886 | // We start up by defining the track direction in the xy plane and roads. The roads are calculated based | |
8a7ff53c | 887 | // on tracking information (variance in the r-phi direction) and estimated variance of the standard |
888 | // clusters (see AliTRDcluster::SetSigmaY2()) corrected for tilt (see GetCovAt()). From this the road is | |
889 | // BEGIN_LATEX | |
500851ab | 890 | // 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 | 891 | // r_{z} = 1.5*L_{pad} |
892 | // END_LATEX | |
1fd9389f | 893 | // |
4b755889 | 894 | // Author : Alexandru Bercuci <A.Bercuci@gsi.de> |
895 | // Debug : level >3 | |
1fd9389f | 896 | |
4d6aee34 | 897 | if(!fkReconstructor->GetRecoParam() ){ |
560e5c05 | 898 | AliError("Tracklets can not be used without a valid RecoParam."); |
29b87567 | 899 | return kFALSE; |
900 | } | |
b1957d3c | 901 | // Initialize reco params for this tracklet |
902 | // 1. first time bin in the drift region | |
a2abcbc5 | 903 | Int_t t0 = 14; |
4d6aee34 | 904 | Int_t kClmin = Int_t(fkReconstructor->GetRecoParam() ->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins()); |
29b87567 | 905 | |
4d6aee34 | 906 | Double_t sysCov[5]; fkReconstructor->GetRecoParam()->GetSysCovMatrix(sysCov); |
8a7ff53c | 907 | Double_t s2yTrk= fRefCov[0], |
908 | s2yCl = 0., | |
909 | s2zCl = GetPadLength()*GetPadLength()/12., | |
910 | syRef = TMath::Sqrt(s2yTrk), | |
911 | t2 = GetTilt()*GetTilt(); | |
29b87567 | 912 | //define roads |
4d6aee34 | 913 | Double_t kroady = 1., //fkReconstructor->GetRecoParam() ->GetRoad1y(); |
566bf887 | 914 | kroadz = GetPadLength() * fkReconstructor->GetRecoParam()->GetRoadzMultiplicator() + 1.; |
8a7ff53c | 915 | // define probing cluster (the perfect cluster) and default calibration |
916 | Short_t sig[] = {0, 0, 10, 30, 10, 0,0}; | |
917 | AliTRDcluster cp(fDet, 6, 75, 0, sig, 0); | |
560e5c05 | 918 | if(fkReconstructor->IsHLT()) cp.SetRPhiMethod(AliTRDcluster::kCOG); |
919 | if(!IsCalibrated()) Calibrate(); | |
8a7ff53c | 920 | |
ee8fb199 | 921 | AliDebug(4, ""); |
922 | AliDebug(4, Form("syKalman[%f] rY[%f] rZ[%f]", syRef, kroady, kroadz)); | |
29b87567 | 923 | |
924 | // working variables | |
b1957d3c | 925 | const Int_t kNrows = 16; |
4b755889 | 926 | const Int_t kNcls = 3*kNclusters; // buffer size |
927 | AliTRDcluster *clst[kNrows][kNcls]; | |
3044dfe5 | 928 | Bool_t blst[kNrows][kNcls]; |
4b755889 | 929 | Double_t cond[4], dx, dy, yt, zt, yres[kNrows][kNcls]; |
930 | Int_t idxs[kNrows][kNcls], ncl[kNrows], ncls = 0; | |
b1957d3c | 931 | memset(ncl, 0, kNrows*sizeof(Int_t)); |
4b755889 | 932 | memset(yres, 0, kNrows*kNcls*sizeof(Double_t)); |
3044dfe5 | 933 | memset(blst, 0, kNrows*kNcls*sizeof(Bool_t)); //this is 8 times faster to memset than "memset(clst, 0, kNrows*kNcls*sizeof(AliTRDcluster*))" |
b1957d3c | 934 | |
29b87567 | 935 | // Do cluster projection |
4d6aee34 | 936 | AliTRDcluster *c = NULL; |
937 | AliTRDchamberTimeBin *layer = NULL; | |
b1957d3c | 938 | Bool_t kBUFFER = kFALSE; |
4b755889 | 939 | for (Int_t it = 0; it < kNtb; it++) { |
b1957d3c | 940 | if(!(layer = chamber->GetTB(it))) continue; |
29b87567 | 941 | if(!Int_t(*layer)) continue; |
8a7ff53c | 942 | // get track projection at layers position |
b1957d3c | 943 | dx = fX0 - layer->GetX(); |
944 | yt = fYref[0] - fYref[1] * dx; | |
945 | zt = fZref[0] - fZref[1] * dx; | |
8a7ff53c | 946 | // get standard cluster error corrected for tilt |
947 | cp.SetLocalTimeBin(it); | |
948 | cp.SetSigmaY2(0.02, fDiffT, fExB, dx, -1./*zt*/, fYref[1]); | |
d956a643 | 949 | s2yCl = (cp.GetSigmaY2() + sysCov[0] + t2*s2zCl)/(1.+t2); |
8a7ff53c | 950 | // get estimated road |
951 | kroady = 3.*TMath::Sqrt(12.*(s2yTrk + s2yCl)); | |
952 | ||
ee8fb199 | 953 | AliDebug(5, Form(" %2d x[%f] yt[%f] zt[%f]", it, dx, yt, zt)); |
954 | ||
955 | 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 | 956 | |
8a7ff53c | 957 | // select clusters |
b1957d3c | 958 | cond[0] = yt; cond[2] = kroady; |
959 | cond[1] = zt; cond[3] = kroadz; | |
960 | Int_t n=0, idx[6]; | |
961 | layer->GetClusters(cond, idx, n, 6); | |
962 | for(Int_t ic = n; ic--;){ | |
963 | c = (*layer)[idx[ic]]; | |
964 | dy = yt - c->GetY(); | |
dd8059a8 | 965 | dy += tilt ? GetTilt() * (c->GetZ() - zt) : 0.; |
b1957d3c | 966 | // select clusters on a 3 sigmaKalman level |
967 | /* if(tilt && TMath::Abs(dy) > 3.*syRef){ | |
968 | printf("too large !!!\n"); | |
969 | continue; | |
970 | }*/ | |
971 | Int_t r = c->GetPadRow(); | |
ee8fb199 | 972 | AliDebug(5, Form(" -> dy[%f] yc[%f] r[%d]", TMath::Abs(dy), c->GetY(), r)); |
b1957d3c | 973 | clst[r][ncl[r]] = c; |
3044dfe5 | 974 | blst[r][ncl[r]] = kTRUE; |
b1957d3c | 975 | idxs[r][ncl[r]] = idx[ic]; |
976 | yres[r][ncl[r]] = dy; | |
977 | ncl[r]++; ncls++; | |
978 | ||
4b755889 | 979 | if(ncl[r] >= kNcls) { |
560e5c05 | 980 | AliWarning(Form("Cluster candidates row[%d] reached buffer limit[%d]. Some may be lost.", r, kNcls)); |
b1957d3c | 981 | kBUFFER = kTRUE; |
29b87567 | 982 | break; |
983 | } | |
984 | } | |
b1957d3c | 985 | if(kBUFFER) break; |
29b87567 | 986 | } |
ee8fb199 | 987 | AliDebug(4, Form("Found %d clusters. Processing ...", ncls)); |
988 | if(ncls<kClmin){ | |
560e5c05 | 989 | AliDebug(1, Form("CLUSTERS FOUND %d LESS THAN THRESHOLD %d.", ncls, kClmin)); |
7c3eecb8 | 990 | SetErrorMsg(kAttachClFound); |
ee8fb199 | 991 | return kFALSE; |
992 | } | |
993 | ||
b1957d3c | 994 | // analyze each row individualy |
560e5c05 | 995 | Bool_t kRowSelection(kFALSE); |
996 | Double_t mean[]={1.e3, 1.e3, 1.3}, syDis[]={1.e3, 1.e3, 1.3}; | |
997 | Int_t nrow[] = {0, 0, 0}, rowId[] = {-1, -1, -1}, nr = 0, lr=-1; | |
998 | TVectorD vdy[3]; | |
999 | for(Int_t ir=0; ir<kNrows; ir++){ | |
b1957d3c | 1000 | if(!(ncl[ir])) continue; |
560e5c05 | 1001 | if(lr>0 && ir-lr != 1){ |
1002 | AliDebug(2, "Rows attached not continuous. Turn on selection."); | |
1003 | kRowSelection=kTRUE; | |
29b87567 | 1004 | } |
560e5c05 | 1005 | |
ee8fb199 | 1006 | AliDebug(5, Form(" r[%d] n[%d]", ir, ncl[ir])); |
b1957d3c | 1007 | // Evaluate truncated mean on the y direction |
560e5c05 | 1008 | if(ncl[ir] < 4) continue; |
1009 | AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean[nr], syDis[nr], Int_t(ncl[ir]*.8)); | |
4b755889 | 1010 | |
b1957d3c | 1011 | // TODO check mean and sigma agains cluster resolution !! |
560e5c05 | 1012 | AliDebug(4, Form(" m_%d[%+5.3f (%5.3fs)] s[%f]", nr, mean[nr], TMath::Abs(mean[nr]/syDis[nr]), syDis[nr])); |
1013 | // remove outliers based on a 3 sigmaDistr level | |
b1957d3c | 1014 | Bool_t kFOUND = kFALSE; |
1015 | for(Int_t ic = ncl[ir]; ic--;){ | |
560e5c05 | 1016 | if(yres[ir][ic] - mean[nr] > 3. * syDis[nr]){ |
3044dfe5 | 1017 | blst[ir][ic] = kFALSE; continue; |
b1957d3c | 1018 | } |
560e5c05 | 1019 | nrow[nr]++; rowId[nr]=ir; kFOUND = kTRUE; |
1020 | } | |
1021 | if(kFOUND){ | |
1022 | vdy[nr].Use(nrow[nr], yres[ir]); | |
1023 | nr++; | |
b1957d3c | 1024 | } |
b1957d3c | 1025 | lr = ir; if(nr>=3) break; |
29b87567 | 1026 | } |
560e5c05 | 1027 | if(fkReconstructor->GetRecoParam()->GetStreamLevel(AliTRDrecoParam::kTracker) > 3 && fkReconstructor->IsDebugStreaming()){ |
1028 | TTreeSRedirector &cstreamer = *fkReconstructor->GetDebugStream(AliTRDrecoParam::kTracker); | |
1029 | UChar_t stat(0); | |
1030 | if(IsKink()) SETBIT(stat, 1); | |
1031 | if(IsStandAlone()) SETBIT(stat, 2); | |
1032 | cstreamer << "AttachClusters" | |
1033 | << "stat=" << stat | |
1034 | << "det=" << fDet | |
1035 | << "pt=" << fPt | |
1036 | << "s2y=" << s2yTrk | |
1037 | << "r0=" << rowId[0] | |
1038 | << "dy0=" << &vdy[0] | |
1039 | << "m0=" << mean[0] | |
1040 | << "s0=" << syDis[0] | |
1041 | << "r1=" << rowId[1] | |
1042 | << "dy1=" << &vdy[1] | |
1043 | << "m1=" << mean[1] | |
1044 | << "s1=" << syDis[1] | |
1045 | << "r2=" << rowId[2] | |
1046 | << "dy2=" << &vdy[2] | |
1047 | << "m2=" << mean[2] | |
1048 | << "s2=" << syDis[2] | |
1049 | << "\n"; | |
1050 | } | |
1051 | ||
1052 | ||
1053 | // analyze gap in rows attached | |
1054 | if(kRowSelection){ | |
1055 | SetErrorMsg(kAttachRowGap); | |
1056 | Int_t rowRemove(-1); | |
1057 | if(nr==2){ // select based on minimum distance to track projection | |
1058 | if(TMath::Abs(mean[0])<TMath::Abs(mean[1])){ | |
1059 | if(nrow[1]>nrow[0]) AliDebug(2, Form("Conflicting mean[%f < %f] but ncl[%d < %d].", TMath::Abs(mean[0]), TMath::Abs(mean[1]), nrow[0], nrow[1])); | |
1060 | }else{ | |
1061 | 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])); | |
1062 | Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]); | |
1063 | Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]); | |
1064 | } | |
1065 | rowRemove=1; nr=1; | |
1066 | } else if(nr==3){ // select based on 2 consecutive rows | |
1067 | if(rowId[1]==rowId[0]+1 && rowId[1]!=rowId[2]-1){ | |
1068 | nr=2;rowRemove=2; | |
1069 | } else if(rowId[1]!=rowId[0]+1 && rowId[1]==rowId[2]-1){ | |
1070 | Swap(nrow[0],nrow[2]); Swap(rowId[0],rowId[2]); | |
1071 | Swap(mean[0],mean[2]); Swap(syDis[0],syDis[2]); | |
1072 | nr=2; rowRemove=2; | |
1073 | } | |
29b87567 | 1074 | } |
560e5c05 | 1075 | if(rowRemove>0){nrow[rowRemove]=0; rowId[rowRemove]=-1;} |
29b87567 | 1076 | } |
560e5c05 | 1077 | AliDebug(4, Form(" Ncl[%d[%d] + %d[%d] + %d[%d]]", nrow[0], rowId[0], nrow[1], rowId[1], nrow[2], rowId[2])); |
1078 | ||
1079 | if(nr==3){ | |
1080 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
7c3eecb8 | 1081 | SetErrorMsg(kAttachRow); |
560e5c05 | 1082 | const Float_t am[]={TMath::Abs(mean[0]), TMath::Abs(mean[1]), TMath::Abs(mean[2])}; |
1083 | AliDebug(4, Form("complex row configuration\n" | |
1084 | " r[%d] n[%d] m[%6.3f] s[%6.3f]\n" | |
1085 | " r[%d] n[%d] m[%6.3f] s[%6.3f]\n" | |
1086 | " r[%d] n[%d] m[%6.3f] s[%6.3f]\n" | |
1087 | , rowId[0], nrow[0], am[0], syDis[0] | |
1088 | , rowId[1], nrow[1], am[1], syDis[1] | |
1089 | , rowId[2], nrow[2], am[2], syDis[2])); | |
1090 | Int_t id[]={0,1,2}; TMath::Sort(3, am, id, kFALSE); | |
1091 | // backup | |
1092 | Int_t rnn[3]; memcpy(rnn, nrow, 3*sizeof(Int_t)); | |
1093 | Int_t rid[3]; memcpy(rid, rowId, 3*sizeof(Int_t)); | |
1094 | Double_t rm[3]; memcpy(rm, mean, 3*sizeof(Double_t)); | |
1095 | Double_t rs[3]; memcpy(rs, syDis, 3*sizeof(Double_t)); | |
1096 | nrow[0]=rnn[id[0]]; rowId[0]=rid[id[0]]; mean[0]=rm[id[0]]; syDis[0]=rs[id[0]]; | |
1097 | nrow[1]=rnn[id[1]]; rowId[1]=rid[id[1]]; mean[1]=rm[id[1]]; syDis[1]=rs[id[1]]; | |
1098 | nrow[2]=0; rowId[2]=-1; mean[2] = 1.e3; syDis[2] = 1.e3; | |
1099 | AliDebug(4, Form("solved configuration\n" | |
1100 | " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n" | |
1101 | " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n" | |
1102 | " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n" | |
1103 | , rowId[0], nrow[0], mean[0], syDis[0] | |
1104 | , rowId[1], nrow[1], mean[1], syDis[1] | |
1105 | , rowId[2], nrow[2], mean[2], syDis[2])); | |
1106 | nr=2; | |
1107 | } else if(nr==2) { | |
1108 | SetBit(kRowCross, kTRUE); // mark pad row crossing | |
1109 | if(nrow[1] > nrow[0]){ // swap row order | |
1110 | Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]); | |
1111 | Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]); | |
1112 | } | |
ee8fb199 | 1113 | } |
560e5c05 | 1114 | |
b1957d3c | 1115 | // Select and store clusters |
1116 | // We should consider here : | |
1117 | // 1. How far is the chamber boundary | |
1118 | // 2. How big is the mean | |
560e5c05 | 1119 | Int_t n(0); Float_t dyc[kNclusters]; memset(dyc,0,kNclusters*sizeof(Float_t)); |
b1957d3c | 1120 | for (Int_t ir = 0; ir < nr; ir++) { |
560e5c05 | 1121 | Int_t jr(rowId[ir]); |
1122 | AliDebug(4, Form(" Attaching Ncl[%d]=%d ...", jr, ncl[jr])); | |
b1957d3c | 1123 | for (Int_t ic = 0; ic < ncl[jr]; ic++) { |
3044dfe5 | 1124 | if(!blst[jr][ic])continue; |
1125 | c = clst[jr][ic]; | |
560e5c05 | 1126 | Int_t it(c->GetPadTime()); |
1127 | Int_t idx(it+kNtb*ir); | |
6ad5e6b2 | 1128 | if(fClusters[idx]){ |
560e5c05 | 1129 | AliDebug(4, Form("Many cluster candidates on row[%2d] tb[%2d].", jr, it)); |
1130 | // TODO should save also the information on where the multiplicity happened and its size | |
6ad5e6b2 | 1131 | SetErrorMsg(kAttachMultipleCl); |
560e5c05 | 1132 | // TODO should also compare with mean and sigma for this row |
1133 | if(yres[jr][ic] > dyc[idx]) continue; | |
6ad5e6b2 | 1134 | } |
1135 | ||
b1957d3c | 1136 | // TODO proper indexing of clusters !! |
6ad5e6b2 | 1137 | fIndexes[idx] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]); |
1138 | fClusters[idx] = c; | |
560e5c05 | 1139 | dyc[idx] = yres[jr][ic]; |
3e778975 | 1140 | n++; |
b1957d3c | 1141 | } |
560e5c05 | 1142 | } |
6ad5e6b2 | 1143 | SetN(n); |
b1957d3c | 1144 | |
29b87567 | 1145 | // number of minimum numbers of clusters expected for the tracklet |
6ad5e6b2 | 1146 | if (GetN() < kClmin){ |
560e5c05 | 1147 | AliDebug(1, Form("NOT ENOUGH CLUSTERS %d ATTACHED TO THE TRACKLET [min %d] FROM FOUND %d.", GetN(), kClmin, n)); |
7c3eecb8 | 1148 | SetErrorMsg(kAttachClAttach); |
e4f2f73d | 1149 | return kFALSE; |
1150 | } | |
0906e73e | 1151 | |
e3cf3d02 | 1152 | // Load calibration parameters for this tracklet |
1153 | Calibrate(); | |
b1957d3c | 1154 | |
1155 | // calculate dx for time bins in the drift region (calibration aware) | |
a2abcbc5 | 1156 | Float_t x[2] = {0.,0.}; Int_t tb[2]={0,0}; |
1157 | for (Int_t it = t0, irp=0; irp<2 && it < AliTRDtrackerV1::GetNTimeBins(); it++) { | |
b1957d3c | 1158 | if(!fClusters[it]) continue; |
1159 | x[irp] = fClusters[it]->GetX(); | |
a2abcbc5 | 1160 | tb[irp] = fClusters[it]->GetLocalTimeBin(); |
b1957d3c | 1161 | irp++; |
e3cf3d02 | 1162 | } |
d86ed84c | 1163 | Int_t dtb = tb[1] - tb[0]; |
1164 | fdX = dtb ? (x[0] - x[1]) / dtb : 0.15; | |
29b87567 | 1165 | return kTRUE; |
e4f2f73d | 1166 | } |
1167 | ||
03cef9b2 | 1168 | //____________________________________________________________ |
1169 | void AliTRDseedV1::Bootstrap(const AliTRDReconstructor *rec) | |
1170 | { | |
1171 | // Fill in all derived information. It has to be called after recovery from file or HLT. | |
1172 | // The primitive data are | |
1173 | // - list of clusters | |
1174 | // - detector (as the detector will be removed from clusters) | |
1175 | // - position of anode wire (fX0) - temporary | |
1176 | // - track reference position and direction | |
1177 | // - momentum of the track | |
1178 | // - time bin length [cm] | |
1179 | // | |
1180 | // A.Bercuci <A.Bercuci@gsi.de> Oct 30th 2008 | |
1181 | // | |
4d6aee34 | 1182 | fkReconstructor = rec; |
03cef9b2 | 1183 | AliTRDgeometry g; |
1184 | AliTRDpadPlane *pp = g.GetPadPlane(fDet); | |
dd8059a8 | 1185 | fPad[0] = pp->GetLengthIPad(); |
1186 | fPad[1] = pp->GetWidthIPad(); | |
1187 | fPad[3] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle()); | |
e3cf3d02 | 1188 | //fSnp = fYref[1]/TMath::Sqrt(1+fYref[1]*fYref[1]); |
1189 | //fTgl = fZref[1]; | |
3e778975 | 1190 | Int_t n = 0, nshare = 0, nused = 0; |
03cef9b2 | 1191 | AliTRDcluster **cit = &fClusters[0]; |
8d2bec9e | 1192 | for(Int_t ic = kNclusters; ic--; cit++){ |
03cef9b2 | 1193 | if(!(*cit)) return; |
3e778975 | 1194 | n++; |
1195 | if((*cit)->IsShared()) nshare++; | |
1196 | if((*cit)->IsUsed()) nused++; | |
03cef9b2 | 1197 | } |
3e778975 | 1198 | SetN(n); SetNUsed(nused); SetNShared(nshare); |
e3cf3d02 | 1199 | Fit(); |
03cef9b2 | 1200 | CookLabels(); |
1201 | GetProbability(); | |
1202 | } | |
1203 | ||
1204 | ||
e4f2f73d | 1205 | //____________________________________________________________________ |
b72f4eaf | 1206 | Bool_t AliTRDseedV1::Fit(Bool_t tilt, Bool_t zcorr) |
e4f2f73d | 1207 | { |
16cca13f | 1208 | // |
1209 | // Linear fit of the clusters attached to the tracklet | |
1210 | // | |
1211 | // Parameters : | |
1212 | // - tilt : switch for tilt pad correction of cluster y position based on | |
1213 | // the z, dzdx info from outside [default false]. | |
1214 | // - zcorr : switch for using z information to correct for anisochronity | |
1fd9389f | 1215 | // and a finner error parameterization estimation [default false] |
16cca13f | 1216 | // Output : |
1217 | // True if successful | |
1218 | // | |
1219 | // Detailed description | |
1220 | // | |
1221 | // Fit in the xy plane | |
1222 | // | |
1fd9389f | 1223 | // The fit is performed to estimate the y position of the tracklet and the track |
1224 | // angle in the bending plane. The clusters are represented in the chamber coordinate | |
1225 | // system (with respect to the anode wire - see AliTRDtrackerV1::FollowBackProlongation() | |
1226 | // on how this is set). The x and y position of the cluster and also their variances | |
1227 | // are known from clusterizer level (see AliTRDcluster::GetXloc(), AliTRDcluster::GetYloc(), | |
1228 | // AliTRDcluster::GetSX() and AliTRDcluster::GetSY()). | |
1229 | // If gaussian approximation is used to calculate y coordinate of the cluster the position | |
1230 | // is recalculated taking into account the track angle. The general formula to calculate the | |
1231 | // error of cluster position in the gaussian approximation taking into account diffusion and track | |
1232 | // inclination is given for TRD by: | |
1233 | // BEGIN_LATEX | |
1234 | // #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} | |
1235 | // END_LATEX | |
1236 | // | |
1237 | // Since errors are calculated only in the y directions, radial errors (x direction) are mapped to y | |
1238 | // by projection i.e. | |
1239 | // BEGIN_LATEX | |
1240 | // #sigma_{x|y} = tg(#phi) #sigma_{x} | |
1241 | // END_LATEX | |
1242 | // and also by the lorentz angle correction | |
1243 | // | |
1244 | // Fit in the xz plane | |
1245 | // | |
1246 | // The "fit" is performed to estimate the radial position (x direction) where pad row cross happens. | |
1247 | // If no pad row crossing the z position is taken from geometry and radial position is taken from the xy | |
1248 | // fit (see below). | |
1249 | // | |
1250 | // There are two methods to estimate the radial position of the pad row cross: | |
1251 | // 1. leading cluster radial position : Here the lower part of the tracklet is considered and the last | |
1252 | // cluster registered (at radial x0) on this segment is chosen to mark the pad row crossing. The error | |
1253 | // of the z estimate is given by : | |
1254 | // BEGIN_LATEX | |
1255 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1256 | // END_LATEX | |
1257 | // The systematic errors for this estimation are generated by the following sources: | |
1258 | // - no charge sharing between pad rows is considered (sharp cross) | |
1259 | // - missing cluster at row cross (noise peak-up, under-threshold signal etc.). | |
1260 | // | |
1261 | // 2. charge fit over the crossing point : Here the full energy deposit along the tracklet is considered | |
1262 | // to estimate the position of the crossing by a fit in the qx plane. The errors in the q directions are | |
1263 | // parameterized as s_q = q^2. The systematic errors for this estimation are generated by the following sources: | |
1264 | // - no general model for the qx dependence | |
1265 | // - physical fluctuations of the charge deposit | |
1266 | // - gain calibration dependence | |
1267 | // | |
1268 | // Estimation of the radial position of the tracklet | |
16cca13f | 1269 | // |
1fd9389f | 1270 | // For pad row cross the radial position is taken from the xz fit (see above). Otherwise it is taken as the |
1271 | // interpolation point of the tracklet i.e. the point where the error in y of the fit is minimum. The error | |
1272 | // in the y direction of the tracklet is (see AliTRDseedV1::GetCovAt()): | |
1273 | // BEGIN_LATEX | |
1274 | // #sigma_{y} = #sigma^{2}_{y_{0}} + 2xcov(y_{0}, dy/dx) + #sigma^{2}_{dy/dx} | |
1275 | // END_LATEX | |
1276 | // and thus the radial position is: | |
1277 | // BEGIN_LATEX | |
1278 | // x = - cov(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} | |
1279 | // END_LATEX | |
1280 | // | |
1281 | // Estimation of tracklet position error | |
1282 | // | |
1283 | // The error in y direction is the error of the linear fit at the radial position of the tracklet while in the z | |
1284 | // direction is given by the cluster error or pad row cross error. In case of no pad row cross this is given by: | |
1285 | // BEGIN_LATEX | |
1286 | // #sigma_{y} = #sigma^{2}_{y_{0}} - 2cov^{2}(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} + #sigma^{2}_{dy/dx} | |
1287 | // #sigma_{z} = Pad_{length}/12 | |
1288 | // END_LATEX | |
1289 | // For pad row cross the full error is calculated at the radial position of the crossing (see above) and the error | |
1290 | // in z by the width of the crossing region - being a matter of parameterization. | |
1291 | // BEGIN_LATEX | |
1292 | // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12 | |
1293 | // END_LATEX | |
1294 | // In case of no tilt correction (default in the barrel tracking) the tilt is taken into account by the rotation of | |
1295 | // the covariance matrix. See AliTRDseedV1::GetCovAt() for details. | |
1296 | // | |
1297 | // Author | |
1298 | // A.Bercuci <A.Bercuci@gsi.de> | |
e4f2f73d | 1299 | |
b72f4eaf | 1300 | if(!IsCalibrated()) Calibrate(); |
e3cf3d02 | 1301 | |
29b87567 | 1302 | const Int_t kClmin = 8; |
010d62b0 | 1303 | |
2f7d6ac8 | 1304 | // get track direction |
1305 | Double_t y0 = fYref[0]; | |
1306 | Double_t dydx = fYref[1]; | |
1307 | Double_t z0 = fZref[0]; | |
1308 | Double_t dzdx = fZref[1]; | |
1309 | Double_t yt, zt; | |
ae4e8b84 | 1310 | |
5f1ae1e7 | 1311 | AliTRDtrackerV1::AliTRDLeastSquare fitterY; |
1312 | AliTRDtrackerV1::AliTRDLeastSquare fitterZ; | |
f301a656 | 1313 | |
29b87567 | 1314 | // book cluster information |
8d2bec9e | 1315 | Double_t qc[kNclusters], xc[kNclusters], yc[kNclusters], zc[kNclusters], sy[kNclusters]; |
e3cf3d02 | 1316 | |
dd8059a8 | 1317 | Int_t n = 0; |
4d6aee34 | 1318 | AliTRDcluster *c=NULL, **jc = &fClusters[0]; |
9eb2d46c | 1319 | for (Int_t ic=0; ic<kNtb; ic++, ++jc) { |
29b87567 | 1320 | xc[ic] = -1.; |
1321 | yc[ic] = 999.; | |
1322 | zc[ic] = 999.; | |
1323 | sy[ic] = 0.; | |
9eb2d46c | 1324 | if(!(c = (*jc))) continue; |
29b87567 | 1325 | if(!c->IsInChamber()) continue; |
9462866a | 1326 | |
29b87567 | 1327 | Float_t w = 1.; |
1328 | if(c->GetNPads()>4) w = .5; | |
1329 | if(c->GetNPads()>5) w = .2; | |
010d62b0 | 1330 | |
1fd9389f | 1331 | // cluster charge |
dd8059a8 | 1332 | qc[n] = TMath::Abs(c->GetQ()); |
1fd9389f | 1333 | // pad row of leading |
1334 | ||
b72f4eaf | 1335 | // Radial cluster position |
e3cf3d02 | 1336 | //Int_t jc = TMath::Max(fN-3, 0); |
1337 | //xc[fN] = c->GetXloc(fT0, fVD, &qc[jc], &xc[jc]/*, z0 - c->GetX()*dzdx*/); | |
b72f4eaf | 1338 | xc[n] = fX0 - c->GetX(); |
1339 | ||
1fd9389f | 1340 | // extrapolated track to cluster position |
dd8059a8 | 1341 | yt = y0 - xc[n]*dydx; |
dd8059a8 | 1342 | zt = z0 - xc[n]*dzdx; |
1fd9389f | 1343 | |
1344 | // Recalculate cluster error based on tracking information | |
1345 | c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?zt:-1., dydx); | |
1346 | sy[n] = TMath::Sqrt(c->GetSigmaY2()); | |
1347 | ||
a2fbb6ec | 1348 | yc[n] = fkReconstructor->GetRecoParam()->UseGAUS() ? |
1fd9389f | 1349 | c->GetYloc(y0, sy[n], GetPadWidth()): c->GetY(); |
1350 | zc[n] = c->GetZ(); | |
1351 | //optional tilt correction | |
1352 | if(tilt) yc[n] -= (GetTilt()*(zc[n] - zt)); | |
1353 | ||
1354 | fitterY.AddPoint(&xc[n], yc[n], TMath::Sqrt(sy[n])); | |
0217fcd0 | 1355 | if(IsRowCross()) fitterZ.AddPoint(&xc[n], qc[n], 1.); |
dd8059a8 | 1356 | n++; |
29b87567 | 1357 | } |
3044dfe5 | 1358 | |
47d5d320 | 1359 | // to few clusters |
dd8059a8 | 1360 | if (n < kClmin) return kFALSE; |
2f7d6ac8 | 1361 | |
d937ad7a | 1362 | // fit XY |
2f7d6ac8 | 1363 | fitterY.Eval(); |
5f1ae1e7 | 1364 | fYfit[0] = fitterY.GetFunctionParameter(0); |
1365 | fYfit[1] = -fitterY.GetFunctionParameter(1); | |
d937ad7a | 1366 | // store covariance |
5f1ae1e7 | 1367 | Double_t p[3]; |
1368 | fitterY.GetCovarianceMatrix(p); | |
d937ad7a | 1369 | fCov[0] = p[0]; // variance of y0 |
5f1ae1e7 | 1370 | fCov[1] = p[2]; // covariance of y0, dydx |
1371 | fCov[2] = p[1]; // variance of dydx | |
b1957d3c | 1372 | // the ref radial position is set at the minimum of |
1373 | // the y variance of the tracklet | |
b72f4eaf | 1374 | fX = -fCov[1]/fCov[2]; |
b1957d3c | 1375 | |
0217fcd0 | 1376 | // collect second row clusters |
1377 | Int_t m(0); | |
b72f4eaf | 1378 | if(IsRowCross()){ |
e355f67a | 1379 | /* // THE LEADING CLUSTER METHOD |
1fd9389f | 1380 | Float_t xMin = fX0; |
b72f4eaf | 1381 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
1fd9389f | 1382 | AliTRDcluster *c0 =0x0, **kc = &fClusters[kNtb-1]; |
1383 | for(; ic>kNtb; ic--, --jc, --kc){ | |
1384 | if((c0 = (*kc)) && c0->IsInChamber() && (xMin>c0->GetX())) xMin = c0->GetX(); | |
1385 | if(!(c = (*jc))) continue; | |
1386 | if(!c->IsInChamber()) continue; | |
1387 | zc[kNclusters-1] = c->GetZ(); | |
1388 | fX = fX0 - c->GetX(); | |
1389 | } | |
1390 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
1391 | // Error parameterization | |
1392 | fS2Z = fdX*fZref[1]; | |
e355f67a | 1393 | fS2Z *= fS2Z; fS2Z *= 0.2887; // 1/sqrt(12)*/ |
1394 | ||
1fd9389f | 1395 | // THE FIT X-Q PLANE METHOD |
e355f67a | 1396 | Int_t ic=n=kNclusters-1; jc = &fClusters[ic]; |
b72f4eaf | 1397 | for(; ic>kNtb; ic--, --jc){ |
1398 | if(!(c = (*jc))) continue; | |
1399 | if(!c->IsInChamber()) continue; | |
1400 | qc[n] = TMath::Abs(c->GetQ()); | |
1401 | xc[n] = fX0 - c->GetX(); | |
1402 | zc[n] = c->GetZ(); | |
1403 | fitterZ.AddPoint(&xc[n], -qc[n], 1.); | |
0217fcd0 | 1404 | n--;m++; |
b72f4eaf | 1405 | } |
0217fcd0 | 1406 | } |
1407 | // fit XZ | |
1408 | if(m && IsRowCross()){ | |
b72f4eaf | 1409 | fitterZ.Eval(); |
5f1ae1e7 | 1410 | if(fitterZ.GetFunctionParameter(1)!=0.){ |
1411 | fX = -fitterZ.GetFunctionParameter(0)/fitterZ.GetFunctionParameter(1); | |
b72f4eaf | 1412 | fX=(fX<0.)?0.:fX; |
1413 | Float_t dl = .5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght(); | |
1414 | fX=(fX> dl)?dl:fX; | |
07bbc13c | 1415 | fX-=.055; // TODO to be understood |
b72f4eaf | 1416 | } |
1417 | ||
1418 | fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.; | |
c850c351 | 1419 | // temporary external error parameterization |
1420 | fS2Z = 0.05+0.4*TMath::Abs(fZref[1]); fS2Z *= fS2Z; | |
1421 | // TODO correct formula | |
1422 | //fS2Z = sigma_x*TMath::Abs(fZref[1]); | |
b1957d3c | 1423 | } else { |
0217fcd0 | 1424 | if(IsRowCross() && !m){ |
1425 | AliDebug(1, "Tracklet crossed row but no clusters found in neighbor row."); | |
1426 | } | |
b1957d3c | 1427 | fZfit[0] = zc[0]; fZfit[1] = 0.; |
dd8059a8 | 1428 | fS2Z = GetPadLength()*GetPadLength()/12.; |
29b87567 | 1429 | } |
b72f4eaf | 1430 | fS2Y = fCov[0] +2.*fX*fCov[1] + fX*fX*fCov[2]; |
29b87567 | 1431 | return kTRUE; |
e4f2f73d | 1432 | } |
1433 | ||
e4f2f73d | 1434 | |
f29f13a6 | 1435 | /* |
e3cf3d02 | 1436 | //_____________________________________________________________________________ |
1437 | void AliTRDseedV1::FitMI() | |
1438 | { | |
1439 | // | |
1440 | // Fit the seed. | |
1441 | // Marian Ivanov's version | |
1442 | // | |
1443 | // linear fit on the y direction with respect to the reference direction. | |
1444 | // The residuals for each x (x = xc - x0) are deduced from: | |
1445 | // dy = y - yt (1) | |
1446 | // the tilting correction is written : | |
1447 | // y = yc + h*(zc-zt) (2) | |
1448 | // yt = y0+dy/dx*x (3) | |
1449 | // zt = z0+dz/dx*x (4) | |
1450 | // from (1),(2),(3) and (4) | |
1451 | // dy = yc - y0 - (dy/dx + h*dz/dx)*x + h*(zc-z0) | |
1452 | // the last term introduces the correction on y direction due to tilting pads. There are 2 ways to account for this: | |
1453 | // 1. use tilting correction for calculating the y | |
1454 | // 2. neglect tilting correction here and account for it in the error parametrization of the tracklet. | |
1455 | const Float_t kRatio = 0.8; | |
1456 | const Int_t kClmin = 5; | |
1457 | const Float_t kmaxtan = 2; | |
1458 | ||
1459 | if (TMath::Abs(fYref[1]) > kmaxtan){ | |
1460 | //printf("Exit: Abs(fYref[1]) = %3.3f, kmaxtan = %3.3f\n", TMath::Abs(fYref[1]), kmaxtan); | |
1461 | return; // Track inclined too much | |
1462 | } | |
1463 | ||
1464 | Float_t sigmaexp = 0.05 + TMath::Abs(fYref[1] * 0.25); // Expected r.m.s in y direction | |
dd8059a8 | 1465 | Float_t ycrosscor = GetPadLength() * GetTilt() * 0.5; // Y correction for crossing |
e3cf3d02 | 1466 | Int_t fNChange = 0; |
1467 | ||
1468 | Double_t sumw; | |
1469 | Double_t sumwx; | |
1470 | Double_t sumwx2; | |
1471 | Double_t sumwy; | |
1472 | Double_t sumwxy; | |
1473 | Double_t sumwz; | |
1474 | Double_t sumwxz; | |
1475 | ||
1476 | // Buffering: Leave it constant fot Performance issues | |
1477 | Int_t zints[kNtb]; // Histograming of the z coordinate | |
1478 | // Get 1 and second max probable coodinates in z | |
1479 | Int_t zouts[2*kNtb]; | |
1480 | Float_t allowedz[kNtb]; // Allowed z for given time bin | |
1481 | Float_t yres[kNtb]; // Residuals from reference | |
dd8059a8 | 1482 | //Float_t anglecor = GetTilt() * fZref[1]; // Correction to the angle |
e3cf3d02 | 1483 | |
1484 | Float_t pos[3*kNtb]; memset(pos, 0, 3*kNtb*sizeof(Float_t)); | |
1485 | Float_t *fX = &pos[0], *fY = &pos[kNtb], *fZ = &pos[2*kNtb]; | |
1486 | ||
1487 | Int_t fN = 0; AliTRDcluster *c = 0x0; | |
1488 | fN2 = 0; | |
1489 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1490 | yres[i] = 10000.0; | |
1491 | if (!(c = fClusters[i])) continue; | |
1492 | if(!c->IsInChamber()) continue; | |
1493 | // Residual y | |
dd8059a8 | 1494 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
e3cf3d02 | 1495 | fX[i] = fX0 - c->GetX(); |
1496 | fY[i] = c->GetY(); | |
1497 | fZ[i] = c->GetZ(); | |
dd8059a8 | 1498 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); |
e3cf3d02 | 1499 | zints[fN] = Int_t(fZ[i]); |
1500 | fN++; | |
1501 | } | |
1502 | ||
1503 | if (fN < kClmin){ | |
1504 | //printf("Exit fN < kClmin: fN = %d\n", fN); | |
1505 | return; | |
1506 | } | |
1507 | Int_t nz = AliTRDtrackerV1::Freq(fN, zints, zouts, kFALSE); | |
1508 | Float_t fZProb = zouts[0]; | |
1509 | if (nz <= 1) zouts[3] = 0; | |
1510 | if (zouts[1] + zouts[3] < kClmin) { | |
1511 | //printf("Exit zouts[1] = %d, zouts[3] = %d\n",zouts[1],zouts[3]); | |
1512 | return; | |
1513 | } | |
1514 | ||
1515 | // Z distance bigger than pad - length | |
1516 | if (TMath::Abs(zouts[0]-zouts[2]) > 12.0) zouts[3] = 0; | |
1517 | ||
1518 | Int_t breaktime = -1; | |
1519 | Bool_t mbefore = kFALSE; | |
1520 | Int_t cumul[kNtb][2]; | |
1521 | Int_t counts[2] = { 0, 0 }; | |
1522 | ||
1523 | if (zouts[3] >= 3) { | |
1524 | ||
1525 | // | |
1526 | // Find the break time allowing one chage on pad-rows | |
1527 | // with maximal number of accepted clusters | |
1528 | // | |
1529 | fNChange = 1; | |
1530 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1531 | cumul[i][0] = counts[0]; | |
1532 | cumul[i][1] = counts[1]; | |
1533 | if (TMath::Abs(fZ[i]-zouts[0]) < 2) counts[0]++; | |
1534 | if (TMath::Abs(fZ[i]-zouts[2]) < 2) counts[1]++; | |
1535 | } | |
1536 | Int_t maxcount = 0; | |
1537 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) { | |
1538 | Int_t after = cumul[AliTRDtrackerV1::GetNTimeBins()][0] - cumul[i][0]; | |
1539 | Int_t before = cumul[i][1]; | |
1540 | if (after + before > maxcount) { | |
1541 | maxcount = after + before; | |
1542 | breaktime = i; | |
1543 | mbefore = kFALSE; | |
1544 | } | |
1545 | after = cumul[AliTRDtrackerV1::GetNTimeBins()-1][1] - cumul[i][1]; | |
1546 | before = cumul[i][0]; | |
1547 | if (after + before > maxcount) { | |
1548 | maxcount = after + before; | |
1549 | breaktime = i; | |
1550 | mbefore = kTRUE; | |
1551 | } | |
1552 | } | |
1553 | breaktime -= 1; | |
1554 | } | |
1555 | ||
1556 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1557 | if (i > breaktime) allowedz[i] = mbefore ? zouts[2] : zouts[0]; | |
1558 | if (i <= breaktime) allowedz[i] = (!mbefore) ? zouts[2] : zouts[0]; | |
1559 | } | |
1560 | ||
1561 | if (((allowedz[0] > allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] < 0)) || | |
1562 | ((allowedz[0] < allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] > 0))) { | |
1563 | // | |
1564 | // Tracklet z-direction not in correspondance with track z direction | |
1565 | // | |
1566 | fNChange = 0; | |
1567 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1568 | allowedz[i] = zouts[0]; // Only longest taken | |
1569 | } | |
1570 | } | |
1571 | ||
1572 | if (fNChange > 0) { | |
1573 | // | |
1574 | // Cross pad -row tracklet - take the step change into account | |
1575 | // | |
1576 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1577 | if (!fClusters[i]) continue; | |
1578 | if(!fClusters[i]->IsInChamber()) continue; | |
1579 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1580 | // Residual y | |
dd8059a8 | 1581 | //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]); |
1582 | yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1])); | |
f29f13a6 | 1583 | // if (TMath::Abs(fZ[i] - fZProb) > 2) { |
dd8059a8 | 1584 | // if (fZ[i] > fZProb) yres[i] += GetTilt() * GetPadLength(); |
1585 | // if (fZ[i] < fZProb) yres[i] -= GetTilt() * GetPadLength(); | |
f29f13a6 | 1586 | } |
e3cf3d02 | 1587 | } |
1588 | } | |
1589 | ||
1590 | Double_t yres2[kNtb]; | |
1591 | Double_t mean; | |
1592 | Double_t sigma; | |
1593 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1594 | if (!fClusters[i]) continue; | |
1595 | if(!fClusters[i]->IsInChamber()) continue; | |
1596 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue; | |
1597 | yres2[fN2] = yres[i]; | |
1598 | fN2++; | |
1599 | } | |
1600 | if (fN2 < kClmin) { | |
1601 | //printf("Exit fN2 < kClmin: fN2 = %d\n", fN2); | |
1602 | fN2 = 0; | |
1603 | return; | |
1604 | } | |
1605 | AliMathBase::EvaluateUni(fN2,yres2,mean,sigma, Int_t(fN2*kRatio-2.)); | |
1606 | if (sigma < sigmaexp * 0.8) { | |
1607 | sigma = sigmaexp; | |
1608 | } | |
1609 | //Float_t fSigmaY = sigma; | |
1610 | ||
1611 | // Reset sums | |
1612 | sumw = 0; | |
1613 | sumwx = 0; | |
1614 | sumwx2 = 0; | |
1615 | sumwy = 0; | |
1616 | sumwxy = 0; | |
1617 | sumwz = 0; | |
1618 | sumwxz = 0; | |
1619 | ||
1620 | fN2 = 0; | |
1621 | Float_t fMeanz = 0; | |
1622 | Float_t fMPads = 0; | |
1623 | fUsable = 0; | |
1624 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1625 | if (!fClusters[i]) continue; | |
1626 | if (!fClusters[i]->IsInChamber()) continue; | |
1627 | if (TMath::Abs(fZ[i] - allowedz[i]) > 2){fClusters[i] = 0x0; continue;} | |
1628 | if (TMath::Abs(yres[i] - mean) > 4.0 * sigma){fClusters[i] = 0x0; continue;} | |
1629 | SETBIT(fUsable,i); | |
1630 | fN2++; | |
1631 | fMPads += fClusters[i]->GetNPads(); | |
1632 | Float_t weight = 1.0; | |
1633 | if (fClusters[i]->GetNPads() > 4) weight = 0.5; | |
1634 | if (fClusters[i]->GetNPads() > 5) weight = 0.2; | |
1635 | ||
1636 | ||
1637 | Double_t x = fX[i]; | |
1638 | //printf("x = %7.3f dy = %7.3f fit %7.3f\n", x, yres[i], fY[i]-yres[i]); | |
1639 | ||
1640 | sumw += weight; | |
1641 | sumwx += x * weight; | |
1642 | sumwx2 += x*x * weight; | |
1643 | sumwy += weight * yres[i]; | |
1644 | sumwxy += weight * (yres[i]) * x; | |
1645 | sumwz += weight * fZ[i]; | |
1646 | sumwxz += weight * fZ[i] * x; | |
1647 | ||
1648 | } | |
1649 | ||
1650 | if (fN2 < kClmin){ | |
1651 | //printf("Exit fN2 < kClmin(2): fN2 = %d\n",fN2); | |
1652 | fN2 = 0; | |
1653 | return; | |
1654 | } | |
1655 | fMeanz = sumwz / sumw; | |
1656 | Float_t correction = 0; | |
1657 | if (fNChange > 0) { | |
1658 | // Tracklet on boundary | |
1659 | if (fMeanz < fZProb) correction = ycrosscor; | |
1660 | if (fMeanz > fZProb) correction = -ycrosscor; | |
1661 | } | |
1662 | ||
1663 | Double_t det = sumw * sumwx2 - sumwx * sumwx; | |
1664 | fYfit[0] = (sumwx2 * sumwy - sumwx * sumwxy) / det; | |
1665 | fYfit[1] = (sumw * sumwxy - sumwx * sumwy) / det; | |
1666 | ||
1667 | fS2Y = 0; | |
1668 | for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) { | |
1669 | if (!TESTBIT(fUsable,i)) continue; | |
1670 | Float_t delta = yres[i] - fYfit[0] - fYfit[1] * fX[i]; | |
1671 | fS2Y += delta*delta; | |
1672 | } | |
1673 | fS2Y = TMath::Sqrt(fS2Y / Float_t(fN2-2)); | |
1674 | // TEMPORARY UNTIL covariance properly calculated | |
1675 | fS2Y = TMath::Max(fS2Y, Float_t(.1)); | |
1676 | ||
1677 | fZfit[0] = (sumwx2 * sumwz - sumwx * sumwxz) / det; | |
1678 | fZfit[1] = (sumw * sumwxz - sumwx * sumwz) / det; | |
1679 | // fYfitR[0] += fYref[0] + correction; | |
1680 | // fYfitR[1] += fYref[1]; | |
1681 | // fYfit[0] = fYfitR[0]; | |
1682 | fYfit[1] = -fYfit[1]; | |
1683 | ||
1684 | UpdateUsed(); | |
f29f13a6 | 1685 | }*/ |
e3cf3d02 | 1686 | |
e4f2f73d | 1687 | //___________________________________________________________________ |
203967fc | 1688 | void AliTRDseedV1::Print(Option_t *o) const |
e4f2f73d | 1689 | { |
1690 | // | |
1691 | // Printing the seedstatus | |
1692 | // | |
1693 | ||
b72f4eaf | 1694 | AliInfo(Form("Det[%3d] X0[%7.2f] Pad{L[%5.2f] W[%5.2f] Tilt[%+6.2f]}", fDet, fX0, GetPadLength(), GetPadWidth(), GetTilt())); |
dd8059a8 | 1695 | AliInfo(Form("N[%2d] Nused[%2d] Nshared[%2d] [%d]", GetN(), GetNUsed(), GetNShared(), fN)); |
b72f4eaf | 1696 | AliInfo(Form("FLAGS : RC[%c] Kink[%c] SA[%c]", IsRowCross()?'y':'n', IsKink()?'y':'n', IsStandAlone()?'y':'n')); |
dd8059a8 | 1697 | |
1698 | Double_t cov[3], x=GetX(); | |
1699 | GetCovAt(x, cov); | |
1700 | AliInfo(" | x[cm] | y[cm] | z[cm] | dydx | dzdx |"); | |
1701 | 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 | 1702 | 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 | 1703 | AliInfo(Form("P / Pt [GeV/c] = %f / %f", GetMomentum(), fPt)); |
1704 | 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])); | |
1705 | AliInfo(Form("PID = %5.3f / %5.3f / %5.3f / %5.3f / %5.3f", fProb[0], fProb[1], fProb[2], fProb[3], fProb[4])); | |
203967fc | 1706 | |
1707 | if(strcmp(o, "a")!=0) return; | |
1708 | ||
4dc4dc2e | 1709 | AliTRDcluster* const* jc = &fClusters[0]; |
8d2bec9e | 1710 | for(int ic=0; ic<kNclusters; ic++, jc++) { |
4dc4dc2e | 1711 | if(!(*jc)) continue; |
203967fc | 1712 | (*jc)->Print(o); |
4dc4dc2e | 1713 | } |
e4f2f73d | 1714 | } |
47d5d320 | 1715 | |
203967fc | 1716 | |
1717 | //___________________________________________________________________ | |
1718 | Bool_t AliTRDseedV1::IsEqual(const TObject *o) const | |
1719 | { | |
1720 | // Checks if current instance of the class has the same essential members | |
1721 | // as the given one | |
1722 | ||
1723 | if(!o) return kFALSE; | |
1724 | const AliTRDseedV1 *inTracklet = dynamic_cast<const AliTRDseedV1*>(o); | |
1725 | if(!inTracklet) return kFALSE; | |
1726 | ||
1727 | for (Int_t i = 0; i < 2; i++){ | |
e3cf3d02 | 1728 | if ( fYref[i] != inTracklet->fYref[i] ) return kFALSE; |
1729 | if ( fZref[i] != inTracklet->fZref[i] ) return kFALSE; | |
203967fc | 1730 | } |
1731 | ||
e3cf3d02 | 1732 | if ( fS2Y != inTracklet->fS2Y ) return kFALSE; |
dd8059a8 | 1733 | if ( GetTilt() != inTracklet->GetTilt() ) return kFALSE; |
1734 | if ( GetPadLength() != inTracklet->GetPadLength() ) return kFALSE; | |
203967fc | 1735 | |
8d2bec9e | 1736 | for (Int_t i = 0; i < kNclusters; i++){ |
e3cf3d02 | 1737 | // if ( fX[i] != inTracklet->GetX(i) ) return kFALSE; |
1738 | // if ( fY[i] != inTracklet->GetY(i) ) return kFALSE; | |
1739 | // if ( fZ[i] != inTracklet->GetZ(i) ) return kFALSE; | |
1740 | if ( fIndexes[i] != inTracklet->fIndexes[i] ) return kFALSE; | |
203967fc | 1741 | } |
f29f13a6 | 1742 | // if ( fUsable != inTracklet->fUsable ) return kFALSE; |
203967fc | 1743 | |
1744 | for (Int_t i=0; i < 2; i++){ | |
e3cf3d02 | 1745 | if ( fYfit[i] != inTracklet->fYfit[i] ) return kFALSE; |
1746 | if ( fZfit[i] != inTracklet->fZfit[i] ) return kFALSE; | |
1747 | if ( fLabels[i] != inTracklet->fLabels[i] ) return kFALSE; | |
203967fc | 1748 | } |
1749 | ||
e3cf3d02 | 1750 | /* if ( fMeanz != inTracklet->GetMeanz() ) return kFALSE; |
1751 | if ( fZProb != inTracklet->GetZProb() ) return kFALSE;*/ | |
3e778975 | 1752 | if ( fN != inTracklet->fN ) return kFALSE; |
1753 | //if ( fNUsed != inTracklet->fNUsed ) return kFALSE; | |
e3cf3d02 | 1754 | //if ( fFreq != inTracklet->GetFreq() ) return kFALSE; |
1755 | //if ( fNChange != inTracklet->GetNChange() ) return kFALSE; | |
203967fc | 1756 | |
e3cf3d02 | 1757 | if ( fC != inTracklet->fC ) return kFALSE; |
1758 | //if ( fCC != inTracklet->GetCC() ) return kFALSE; | |
1759 | if ( fChi2 != inTracklet->fChi2 ) return kFALSE; | |
203967fc | 1760 | // if ( fChi2Z != inTracklet->GetChi2Z() ) return kFALSE; |
1761 | ||
e3cf3d02 | 1762 | if ( fDet != inTracklet->fDet ) return kFALSE; |
b25a5e9e | 1763 | if ( fPt != inTracklet->fPt ) return kFALSE; |
e3cf3d02 | 1764 | if ( fdX != inTracklet->fdX ) return kFALSE; |
203967fc | 1765 | |
8d2bec9e | 1766 | for (Int_t iCluster = 0; iCluster < kNclusters; iCluster++){ |
203967fc | 1767 | AliTRDcluster *curCluster = fClusters[iCluster]; |
e3cf3d02 | 1768 | AliTRDcluster *inCluster = inTracklet->fClusters[iCluster]; |
203967fc | 1769 | if (curCluster && inCluster){ |
1770 | if (! curCluster->IsEqual(inCluster) ) { | |
1771 | curCluster->Print(); | |
1772 | inCluster->Print(); | |
1773 | return kFALSE; | |
1774 | } | |
1775 | } else { | |
1776 | // if one cluster exists, and corresponding | |
1777 | // in other tracklet doesn't - return kFALSE | |
1778 | if(curCluster || inCluster) return kFALSE; | |
1779 | } | |
1780 | } | |
1781 | return kTRUE; | |
1782 | } | |
5d401b45 | 1783 |