Line data Source code
1 : /**************************************************************************
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 : **************************************************************************/
15 :
16 : /* $Id$ */
17 :
18 : ///////////////////////////////////////////////////////////////////////////////
19 : // //
20 : // TRD cluster //
21 : // //
22 : ///////////////////////////////////////////////////////////////////////////////
23 :
24 : #include <TMath.h>
25 :
26 : #include "AliLog.h"
27 :
28 : #include "AliTRDcluster.h"
29 : #include "AliTRDgeometry.h"
30 : #include "AliTRDCommonParam.h"
31 : #include "AliTRDtrackletWord.h"
32 :
33 48 : ClassImp(AliTRDcluster)
34 :
35 : const Int_t AliTRDcluster::fgkNlut = 128;
36 : Double_t *AliTRDcluster::fgLUT = 0x0;
37 :
38 : //___________________________________________________________________________
39 : AliTRDcluster::AliTRDcluster()
40 18452 : :AliCluster()
41 18452 : ,fPadCol(0)
42 18452 : ,fPadRow(0)
43 18452 : ,fPadTime(0)
44 18452 : ,fLocalTimeBin(0)
45 18452 : ,fNPads(0)
46 18452 : ,fClusterMasking(0)
47 18452 : ,fDetector(0)
48 18452 : ,fQ(0)
49 18452 : ,fCenter(0)
50 92260 : {
51 : //
52 : // Default constructor
53 : //
54 :
55 295232 : for (Int_t i = 0; i < 7; i++) {
56 129164 : fSignals[i] = 0;
57 : }
58 18452 : SetBit(kLUT);
59 36904 : }
60 :
61 : //___________________________________________________________________________
62 : AliTRDcluster::AliTRDcluster(Int_t det, UChar_t col, UChar_t row, UChar_t time
63 : , const Short_t *sig, UShort_t vid)
64 19320 : :AliCluster()
65 19320 : ,fPadCol(col)
66 19320 : ,fPadRow(row)
67 19320 : ,fPadTime(time)
68 19320 : ,fLocalTimeBin(0)
69 19320 : ,fNPads(0)
70 19320 : ,fClusterMasking(0)
71 19320 : ,fDetector(det)
72 19320 : ,fQ(0.)
73 19320 : ,fCenter(0.)
74 96600 : {
75 : //
76 : // Constructor for self constructing cluster. In this approach the information is inserted gradualy into the
77 : // cluster and all dependencies are (re)calculated inside the cluster itself.
78 : //
79 : // A.Bercuci <A.Bercuci@gsi.de>
80 :
81 19320 : memcpy(&fSignals, sig, 7*sizeof(Short_t));
82 19320 : fQ = fSignals[2]+fSignals[3]+fSignals[4];
83 19320 : SetVolumeId(vid);
84 19320 : SetBit(kLUT);
85 38640 : }
86 :
87 : //___________________________________________________________________________
88 : AliTRDcluster::AliTRDcluster(Int_t det, Float_t q
89 : , const Float_t *pos, const Float_t *sig
90 : , const Int_t *tracks, Char_t npads, Short_t * const signals
91 : , UChar_t col, UChar_t row, UChar_t time
92 : , Char_t timebin, Float_t center, UShort_t volid)
93 0 : :AliCluster(volid,pos[0],pos[1],pos[2],sig[0],sig[1],0.0,0x0)
94 0 : ,fPadCol(col)
95 0 : ,fPadRow(row)
96 0 : ,fPadTime(time)
97 0 : ,fLocalTimeBin(timebin)
98 0 : ,fNPads(npads)
99 0 : ,fClusterMasking(0)
100 0 : ,fDetector(det)
101 0 : ,fQ(q)
102 0 : ,fCenter(center)
103 0 : {
104 : //
105 : // Constructor
106 : //
107 :
108 0 : for (Int_t i = 0; i < 7; i++) {
109 0 : fSignals[i] = signals[i];
110 : }
111 :
112 0 : if (tracks) {
113 0 : AddTrackIndex(tracks);
114 : }
115 0 : SetBit(kLUT);
116 0 : }
117 :
118 : //_____________________________________________________________________________
119 : AliTRDcluster::AliTRDcluster(const AliTRDtrackletWord *const tracklet, Int_t det, UShort_t volid)
120 0 : :AliCluster(volid,tracklet->GetX(),tracklet->GetY(),tracklet->GetZ(),0,0,0)
121 0 : ,fPadCol(0)
122 0 : ,fPadRow(0)
123 0 : ,fPadTime(0)
124 0 : ,fLocalTimeBin(0)
125 0 : ,fNPads(0)
126 0 : ,fClusterMasking(0)
127 0 : ,fDetector(det)
128 0 : ,fQ(0.)
129 0 : ,fCenter(0.)
130 0 : {
131 : //
132 : // Constructor from online tracklet
133 : //
134 :
135 0 : for (Int_t i = 0; i < 7; i++) {
136 0 : fSignals[i] = 0;
137 : }
138 :
139 0 : }
140 :
141 : //_____________________________________________________________________________
142 : AliTRDcluster::AliTRDcluster(const AliTRDcluster &c)
143 41384 : :AliCluster(c)
144 41384 : ,fPadCol(c.fPadCol)
145 41384 : ,fPadRow(c.fPadRow)
146 41384 : ,fPadTime(c.fPadTime)
147 41384 : ,fLocalTimeBin(c.fLocalTimeBin)
148 41384 : ,fNPads(c.fNPads)
149 41384 : ,fClusterMasking(c.fClusterMasking)
150 41384 : ,fDetector(c.fDetector)
151 41384 : ,fQ(c.fQ)
152 41384 : ,fCenter(c.fCenter)
153 206920 : {
154 : //
155 : // Copy constructor
156 : //
157 :
158 41384 : SetLabel(c.GetLabel(0),0);
159 41384 : SetLabel(c.GetLabel(1),1);
160 41384 : SetLabel(c.GetLabel(2),2);
161 :
162 41384 : SetY(c.GetY());
163 41384 : SetZ(c.GetZ());
164 41384 : AliCluster::SetSigmaY2(c.GetSigmaY2());
165 41384 : SetSigmaZ2(c.GetSigmaZ2());
166 :
167 662144 : for (Int_t i = 0; i < 7; i++) {
168 289688 : fSignals[i] = c.fSignals[i];
169 : }
170 :
171 82768 : }
172 :
173 : //_____________________________________________________________________________
174 : AliTRDcluster &AliTRDcluster::operator=(const AliTRDcluster &c)
175 : {
176 : //
177 : // Assignment operator
178 : //
179 :
180 0 : if (&c == this) {
181 0 : return *this;
182 : }
183 :
184 : // Call the assignment operator of the base class
185 0 : AliCluster::operator=(c);
186 :
187 0 : fPadCol = c.fPadCol;
188 0 : fPadRow = c.fPadRow;
189 0 : fPadTime = c.fPadTime;
190 0 : fLocalTimeBin = c.fLocalTimeBin;
191 0 : fNPads = c.fNPads;
192 0 : fClusterMasking = c.fClusterMasking;
193 0 : fDetector = c.fDetector;
194 0 : fQ = c.fQ;
195 0 : fCenter = c.fCenter;
196 :
197 0 : SetLabel(c.GetLabel(0),0);
198 0 : SetLabel(c.GetLabel(1),1);
199 0 : SetLabel(c.GetLabel(2),2);
200 :
201 0 : SetY(c.GetY());
202 0 : SetZ(c.GetZ());
203 0 : SetSigmaZ2(c.GetSigmaZ2());
204 :
205 0 : for (Int_t i = 0; i < 7; i++) {
206 0 : fSignals[i] = c.fSignals[i];
207 : }
208 :
209 0 : return *this;
210 :
211 0 : }
212 :
213 : //_____________________________________________________________________________
214 : void AliTRDcluster::AddTrackIndex(const Int_t * const track)
215 : {
216 : //
217 : // Adds track index. Currently assumed that track is an array of
218 : // size 9, and up to 3 track indexes are stored in fTracks[3].
219 : // Indexes are sorted according to:
220 : // 1) index of max number of appearances is stored first
221 : // 2) if two or more indexes appear equal number of times, the lowest
222 : // ones are stored first;
223 : //
224 :
225 : const Int_t kSize = 9;
226 19068 : Int_t entries[kSize][2];
227 :
228 : Int_t i = 0;
229 : Int_t j = 0;
230 : Int_t k = 0;
231 : Int_t index;
232 : Bool_t indexAdded;
233 :
234 190680 : for (i = 0; i < kSize; i++) {
235 85806 : entries[i][0] = -1;
236 85806 : entries[i][1] = 0;
237 : }
238 :
239 190680 : for (k = 0; k < kSize; k++) {
240 :
241 85806 : index = track[k];
242 : indexAdded = kFALSE;
243 :
244 : j = 0;
245 85806 : if (index >= 0) {
246 125490 : while ((!indexAdded) && (j < kSize)) {
247 66851 : if ((entries[j][0] == index) ||
248 21911 : (entries[j][1] == 0)) {
249 35610 : entries[j][0] = index;
250 35610 : entries[j][1] = entries[j][1] + 1;
251 : indexAdded = kTRUE;
252 35610 : }
253 44940 : j++;
254 : }
255 : }
256 :
257 : }
258 :
259 : // Sort by number of appearances and index value
260 : Int_t swap = 1;
261 : Int_t tmp0;
262 : Int_t tmp1;
263 29041 : while (swap > 0) {
264 : swap = 0;
265 179514 : for (i = 0; i < (kSize - 1); i++) {
266 93971 : if ((entries[i][0] >= 0) &&
267 14187 : (entries[i+1][0] >= 0)) {
268 6590 : if ((entries[i][1] < entries[i+1][1]) ||
269 3822 : ((entries[i][1] == entries[i+1][1]) &&
270 2374 : (entries[i][0] > entries[i+1][0]))) {
271 621 : tmp0 = entries[i][0];
272 621 : tmp1 = entries[i][1];
273 621 : entries[i][0] = entries[i+1][0];
274 621 : entries[i][1] = entries[i+1][1];
275 621 : entries[i+1][0] = tmp0;
276 621 : entries[i+1][1] = tmp1;
277 621 : swap++;
278 621 : }
279 : }
280 : }
281 : }
282 :
283 : // Set track indexes
284 76272 : for (i = 0; i < 3; i++) {
285 28602 : SetLabel(entries[i][0],i);
286 : }
287 :
288 : return;
289 :
290 9534 : }
291 :
292 : //_____________________________________________________________________________
293 : void AliTRDcluster::Clear(Option_t *)
294 : {
295 : //
296 : // Reset all member to the default value
297 : //
298 0 : fPadCol=0;
299 0 : fPadRow=0;
300 0 : fPadTime=0;
301 0 : fLocalTimeBin=0;
302 0 : fNPads=0;
303 0 : fClusterMasking=0;
304 0 : fDetector=0;
305 0 : for (Int_t i=0; i < 7; i++) fSignals[i]=0;
306 0 : fQ = 0;
307 0 : fCenter = 0;
308 0 : for (Int_t i = 0; i < 3; i++) SetLabel(0,i);
309 0 : SetX(0.);
310 0 : SetY(0.);
311 0 : SetZ(0.);
312 0 : AliCluster::SetSigmaY2(0.);
313 0 : SetSigmaZ2(0.);
314 0 : SetVolumeId(0);
315 0 : }
316 :
317 : //_____________________________________________________________________________
318 : Float_t AliTRDcluster::GetSumS() const
319 : {
320 : //
321 : // Returns the total charge from a not unfolded cluster
322 : //
323 :
324 : Float_t sum = 0.0;
325 0 : for (Int_t i = 0; i < 7; i++) {
326 0 : sum += fSignals[i];
327 : }
328 :
329 0 : return sum;
330 :
331 : }
332 :
333 : //___________________________________________________________________________
334 : Double_t AliTRDcluster::GetSX(Int_t tb, Double_t z)
335 : {
336 : //
337 : // Returns the error parameterization in the radial direction for TRD clusters as function of
338 : // the calibrated time bin (tb) and optionally distance to anode wire (z). By default (no z information)
339 : // the mean value over all cluster to wire distance is chosen.
340 : //
341 : // There are several contributions which are entering in the definition of the radial errors of the clusters.
342 : // Although an analytic defition should be possible for the moment this is not yet available but instead a
343 : // numerical parameterization is provided (see AliTRDclusterResolution::ProcessSigma() for the calibration
344 : // method). The result is displayed in the figure below as a 2D plot and also as the projection on the drift axis.
345 : //
346 : //Begin_Html
347 : //<img src="TRD/clusterXerrorDiff2D.gif">
348 : //End_Html
349 : //
350 : // Here is a list of uncertainty components:
351 : // - Time Response Function (TRF) - the major contribution. since TRF is also not symmetric (even if tail is
352 : // cancelled) it also creates a systematic shift dependent on the charge distribution before and after the cluster.
353 : // - longitudinal diffusion - increase the width of TRF and scales with square root of drift length
354 : // - variation in the drift velocity within the drift cell
355 : //
356 : // Author
357 : // A.Bercuci <A.Bercuci@gsi.de>
358 : //
359 :
360 68611 : if(tb<1 || tb>=24) return 10.; // return huge [10cm]
361 : static const Double_t sx[24][10]={
362 : {0.000e+00, 9.352e-01, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 2.309e+00},
363 : {8.387e-02, 8.718e-02, 8.816e-02, 9.444e-02, 9.993e-02, 1.083e-01, 1.161e-01, 1.280e-01, 1.417e-01, 1.406e-01},
364 : {1.097e-01, 1.105e-01, 1.127e-01, 1.151e-01, 1.186e-01, 1.223e-01, 1.272e-01, 1.323e-01, 1.389e-01, 1.490e-01},
365 : {1.407e-01, 1.404e-01, 1.414e-01, 1.430e-01, 1.429e-01, 1.449e-01, 1.476e-01, 1.494e-01, 1.515e-01, 1.589e-01},
366 : {1.681e-01, 1.679e-01, 1.666e-01, 1.657e-01, 1.656e-01, 1.649e-01, 1.652e-01, 1.662e-01, 1.671e-01, 1.694e-01},
367 : {1.745e-01, 1.737e-01, 1.707e-01, 1.690e-01, 1.643e-01, 1.610e-01, 1.612e-01, 1.628e-01, 1.638e-01, 1.659e-01},
368 : {1.583e-01, 1.558e-01, 1.535e-01, 1.488e-01, 1.445e-01, 1.419e-01, 1.428e-01, 1.451e-01, 1.462e-01, 1.494e-01},
369 : {1.414e-01, 1.391e-01, 1.368e-01, 1.300e-01, 1.256e-01, 1.259e-01, 1.285e-01, 1.326e-01, 1.358e-01, 1.406e-01},
370 : {1.307e-01, 1.289e-01, 1.261e-01, 1.216e-01, 1.193e-01, 1.165e-01, 1.201e-01, 1.241e-01, 1.274e-01, 1.344e-01},
371 : {1.251e-01, 1.227e-01, 1.208e-01, 1.155e-01, 1.110e-01, 1.116e-01, 1.133e-01, 1.187e-01, 1.229e-01, 1.308e-01},
372 : {1.234e-01, 1.209e-01, 1.175e-01, 1.127e-01, 1.094e-01, 1.093e-01, 1.109e-01, 1.155e-01, 1.210e-01, 1.275e-01},
373 : {1.215e-01, 1.187e-01, 1.156e-01, 1.108e-01, 1.070e-01, 1.065e-01, 1.090e-01, 1.134e-01, 1.196e-01, 1.251e-01},
374 : {1.202e-01, 1.180e-01, 1.151e-01, 1.108e-01, 1.070e-01, 1.058e-01, 1.089e-01, 1.127e-01, 1.183e-01, 1.256e-01},
375 : {1.207e-01, 1.176e-01, 1.142e-01, 1.109e-01, 1.072e-01, 1.069e-01, 1.088e-01, 1.122e-01, 1.182e-01, 1.252e-01},
376 : {1.213e-01, 1.182e-01, 1.156e-01, 1.102e-01, 1.076e-01, 1.063e-01, 1.091e-01, 1.132e-01, 1.181e-01, 1.243e-01},
377 : {1.205e-01, 1.180e-01, 1.150e-01, 1.104e-01, 1.072e-01, 1.063e-01, 1.083e-01, 1.132e-01, 1.183e-01, 1.243e-01},
378 : {1.212e-01, 1.195e-01, 1.135e-01, 1.107e-01, 1.070e-01, 1.065e-01, 1.097e-01, 1.126e-01, 1.185e-01, 1.238e-01},
379 : {1.201e-01, 1.184e-01, 1.155e-01, 1.111e-01, 1.088e-01, 1.075e-01, 1.089e-01, 1.131e-01, 1.189e-01, 1.237e-01},
380 : {1.197e-01, 1.186e-01, 1.147e-01, 1.113e-01, 1.085e-01, 1.077e-01, 1.105e-01, 1.137e-01, 1.188e-01, 1.245e-01},
381 : {1.213e-01, 1.194e-01, 1.154e-01, 1.114e-01, 1.091e-01, 1.082e-01, 1.098e-01, 1.140e-01, 1.194e-01, 1.247e-01},
382 : {1.210e-01, 1.189e-01, 1.155e-01, 1.119e-01, 1.088e-01, 1.080e-01, 1.105e-01, 1.141e-01, 1.195e-01, 1.244e-01},
383 : {1.196e-01, 1.189e-01, 1.145e-01, 1.105e-01, 1.095e-01, 1.083e-01, 1.087e-01, 1.121e-01, 1.173e-01, 1.208e-01},
384 : {1.123e-01, 1.129e-01, 1.108e-01, 1.110e-01, 1.080e-01, 1.065e-01, 1.056e-01, 1.066e-01, 1.071e-01, 1.095e-01},
385 : {1.136e-01, 1.135e-01, 1.130e-01, 1.122e-01, 1.113e-01, 1.071e-01, 1.041e-01, 1.025e-01, 1.014e-01, 9.973e-02}
386 : };
387 32926 : if(z>=0. && z<.25) return sx[tb][Int_t(z/.025)];
388 :
389 696036 : Double_t m = 0.; for(Int_t id=10; id--;) m+=sx[tb][id];
390 31638 : return m*.1;
391 :
392 33631 : }
393 :
394 : //___________________________________________________________________________
395 : Double_t AliTRDcluster::GetSYdrift(Int_t tb, Int_t ly, Double_t/* z*/)
396 : {
397 : //
398 : // Returns the error parameterization for TRD clusters as function of the drift length (here calibrated time bin tb)
399 : // and optionally distance to anode wire (z) for the LUT r-phi cluster shape. By default (no z information) the largest
400 : // value over all cluster to wire values is chosen.
401 : //
402 : // For the LUT method the dependence of s_y with x and d is obtained via a fit to the cluster to MC
403 : // resolution. (see class AliTRDclusterResolution for more details). A normalization to the reference radial position
404 : // x0 = 0.675 (tb=5 for ideal vd) is also applied (see GetSYprf()). The function is *NOT* calibration aware !
405 : // The result is displayed in the figure below as a 2D plot and also as the projection on the drift axis. A comparison
406 : // with the GAUS parameterization is also given
407 : //
408 : // For the GAUS method the dependence of s_y with x is *analytic* and it is expressed by the relation.
409 : // BEGIN_LATEX
410 : // #sigma^{2}_{y} = #sigma^{2}_{PRF} + #frac{x#delta_{t}^{2}}{(1+tg(#alpha_{L}))^{2}}
411 : // END_LATEX
412 : // The result is displayed in the figure below as function of the drift time and compared with the LUT parameterization.
413 : //Begin_Html
414 : //<img src="TRD/clusterYerrorDiff2D.gif">
415 : //<img src="TRD/clusterYerrorDiff1D.gif">
416 : //End_Html
417 : //
418 : // Author
419 : // A.Bercuci <A.Bercuci@gsi.de>
420 : //
421 :
422 59327 : if(tb<1 || tb>=24) return 10.; // return huge [10cm]
423 : static const Float_t lSy[6][24] = {
424 : {75.7561, 0.0325, 0.0175, 0.0174, 0.0206, 0.0232,
425 : 0.0253, 0.0262, 0.0265, 0.0264, 0.0266, 0.0257,
426 : 0.0258, 0.0261, 0.0259, 0.0253, 0.0257, 0.0261,
427 : 0.0255, 0.0250, 0.0259, 0.0266, 0.0278, 0.0319
428 : },
429 : {49.2252, 0.0371, 0.0204, 0.0189, 0.0230, 0.0261,
430 : 0.0281, 0.0290, 0.0292, 0.0286, 0.0277, 0.0279,
431 : 0.0285, 0.0281, 0.0291, 0.0281, 0.0281, 0.0282,
432 : 0.0272, 0.0282, 0.0282, 0.0284, 0.0310, 0.0334
433 : },
434 : {55.1674, 0.0388, 0.0212, 0.0200, 0.0239, 0.0271,
435 : 0.0288, 0.0299, 0.0306, 0.0300, 0.0296, 0.0303,
436 : 0.0293, 0.0290, 0.0291, 0.0294, 0.0295, 0.0290,
437 : 0.0293, 0.0292, 0.0292, 0.0293, 0.0316, 0.0358
438 : },
439 : {45.1004, 0.0411, 0.0225, 0.0215, 0.0249, 0.0281,
440 : 0.0301, 0.0315, 0.0320, 0.0308, 0.0318, 0.0321,
441 : 0.0312, 0.0311, 0.0316, 0.0315, 0.0310, 0.0308,
442 : 0.0313, 0.0303, 0.0314, 0.0314, 0.0324, 0.0369
443 : },
444 : {43.8614, 0.0420, 0.0239, 0.0224, 0.0268, 0.0296,
445 : 0.0322, 0.0336, 0.0333, 0.0326, 0.0321, 0.0325,
446 : 0.0329, 0.0326, 0.0323, 0.0322, 0.0326, 0.0320,
447 : 0.0329, 0.0319, 0.0314, 0.0329, 0.0341, 0.0373
448 : },
449 : {40.5440, 0.0434, 0.0246, 0.0236, 0.0275, 0.0311,
450 : 0.0332, 0.0345, 0.0347, 0.0347, 0.0340, 0.0336,
451 : 0.0339, 0.0344, 0.0339, 0.0341, 0.0341, 0.0342,
452 : 0.0345, 0.0328, 0.0341, 0.0332, 0.0356, 0.0398
453 : },
454 : };
455 : // adjusted ...
456 27640 : return TMath::Max(lSy[ly][tb]-0.0150, 0.0010);
457 :
458 : /* const Double_t sy[24][10]={
459 : {0.000e+00, 2.610e-01, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 4.680e-01},
460 : {3.019e-02, 3.036e-02, 3.131e-02, 3.203e-02, 3.294e-02, 3.407e-02, 3.555e-02, 3.682e-02, 3.766e-02, 3.824e-02},
461 : {1.773e-02, 1.778e-02, 1.772e-02, 1.790e-02, 1.807e-02, 1.833e-02, 1.873e-02, 1.905e-02, 1.958e-02, 2.029e-02},
462 : {1.774e-02, 1.772e-02, 1.746e-02, 1.738e-02, 1.756e-02, 1.756e-02, 1.739e-02, 1.720e-02, 1.743e-02, 1.769e-02},
463 : {2.064e-02, 2.078e-02, 2.069e-02, 2.060e-02, 2.033e-02, 2.024e-02, 2.022e-02, 1.961e-02, 1.922e-02, 1.901e-02},
464 : {2.382e-02, 2.379e-02, 2.371e-02, 2.333e-02, 2.318e-02, 2.285e-02, 2.255e-02, 2.244e-02, 2.174e-02, 2.132e-02},
465 : {2.615e-02, 2.589e-02, 2.539e-02, 2.493e-02, 2.420e-02, 2.396e-02, 2.362e-02, 2.342e-02, 2.321e-02, 2.330e-02},
466 : {2.640e-02, 2.638e-02, 2.577e-02, 2.548e-02, 2.477e-02, 2.436e-02, 2.416e-02, 2.401e-02, 2.399e-02, 2.402e-02},
467 : {2.647e-02, 2.632e-02, 2.587e-02, 2.546e-02, 2.465e-02, 2.447e-02, 2.429e-02, 2.415e-02, 2.429e-02, 2.475e-02},
468 : {2.657e-02, 2.637e-02, 2.580e-02, 2.525e-02, 2.492e-02, 2.441e-02, 2.446e-02, 2.441e-02, 2.478e-02, 2.491e-02},
469 : {2.640e-02, 2.608e-02, 2.583e-02, 2.539e-02, 2.478e-02, 2.440e-02, 2.456e-02, 2.464e-02, 2.486e-02, 2.533e-02},
470 : {2.636e-02, 2.630e-02, 2.584e-02, 2.542e-02, 2.483e-02, 2.451e-02, 2.449e-02, 2.467e-02, 2.496e-02, 2.554e-02},
471 : {2.634e-02, 2.629e-02, 2.583e-02, 2.526e-02, 2.480e-02, 2.460e-02, 2.458e-02, 2.472e-02, 2.518e-02, 2.549e-02},
472 : {2.629e-02, 2.621e-02, 2.581e-02, 2.527e-02, 2.480e-02, 2.458e-02, 2.451e-02, 2.485e-02, 2.516e-02, 2.547e-02},
473 : {2.629e-02, 2.607e-02, 2.573e-02, 2.543e-02, 2.485e-02, 2.464e-02, 2.452e-02, 2.476e-02, 2.505e-02, 2.550e-02},
474 : {2.635e-02, 2.613e-02, 2.578e-02, 2.523e-02, 2.491e-02, 2.465e-02, 2.470e-02, 2.467e-02, 2.515e-02, 2.564e-02},
475 : {2.613e-02, 2.602e-02, 2.587e-02, 2.526e-02, 2.507e-02, 2.482e-02, 2.456e-02, 2.486e-02, 2.509e-02, 2.572e-02},
476 : {2.620e-02, 2.599e-02, 2.563e-02, 2.528e-02, 2.484e-02, 2.462e-02, 2.464e-02, 2.476e-02, 2.513e-02, 2.571e-02},
477 : {2.634e-02, 2.596e-02, 2.565e-02, 2.519e-02, 2.497e-02, 2.457e-02, 2.450e-02, 2.481e-02, 2.511e-02, 2.540e-02},
478 : {2.593e-02, 2.589e-02, 2.563e-02, 2.511e-02, 2.472e-02, 2.453e-02, 2.452e-02, 2.474e-02, 2.501e-02, 2.543e-02},
479 : {2.576e-02, 2.582e-02, 2.526e-02, 2.505e-02, 2.462e-02, 2.446e-02, 2.445e-02, 2.466e-02, 2.486e-02, 2.510e-02},
480 : {2.571e-02, 2.549e-02, 2.533e-02, 2.501e-02, 2.453e-02, 2.443e-02, 2.445e-02, 2.450e-02, 2.448e-02, 2.469e-02},
481 : {2.812e-02, 2.786e-02, 2.776e-02, 2.723e-02, 2.695e-02, 2.650e-02, 2.642e-02, 2.617e-02, 2.612e-02, 2.610e-02},
482 : {3.251e-02, 3.267e-02, 3.223e-02, 3.183e-02, 3.125e-02, 3.106e-02, 3.067e-02, 3.010e-02, 2.936e-02, 2.927e-02}
483 : };
484 : if(z>=0. && z<.25) return sy[tb][Int_t(z/.025)] - sy[5][Int_t(z/.025)];
485 :
486 : Double_t m = -1.e8; for(Int_t id=10; id--;) if((sy[tb][id] - sy[5][id])>m) m=sy[tb][id]-sy[5][id];
487 :
488 : return m;*/
489 28989 : }
490 :
491 : //___________________________________________________________________________
492 : Double_t AliTRDcluster::GetSYcharge(Float_t q)
493 : {
494 : //
495 : // Parameterization of the r-phi resolution component due to cluster charge.
496 : // The value is the offset from the nominal cluster resolution defined as the
497 : // cluster resolution at average cluster charge (q0).
498 : //
499 : // BEGIN_LATEX
500 : // #Delta #sigma_{y}(q) = a*(#frac{1}{q} - #frac{1}{q_{0}})
501 : // q_{0} #approx 50
502 : // END_LATEX
503 : // The definition is *NOT* robust against gain fluctuations and thus two approaches are possible
504 : // when residual miscalibration are available:
505 : // - determine parameterization with a resolution matching those of the gain
506 : // - define an analytic model which scales with the gain.
507 : //
508 : // For more details please see AliTRDclusterResolution::ProcessCharge()
509 : //
510 : //Begin_Html
511 : //<img src="TRD/clusterQerror.gif">
512 : //End_Html
513 : //
514 : // Author
515 : // A.Bercuci <A.Bercuci@gsi.de>
516 : //
517 :
518 : const Float_t sq0inv = 0.019962; // [1/q0]
519 : const Float_t sqb = 0.037328; // [cm]
520 :
521 57978 : return sqb*(1./q - sq0inv);
522 : }
523 :
524 : //___________________________________________________________________________
525 : Double_t AliTRDcluster::GetSYprf(Int_t ly, Double_t center, Double_t s2)
526 : {
527 : //
528 : // Parameterization of the cluster error in the r-phi direction due to charge sharing between
529 : // adiacent pads. Should be identical to what is provided in the OCDB as PRF [TODO]
530 : //
531 : // The parameterization is obtained from fitting cluster resolution at phi=exb and |x-0.675|<0.225.
532 : // For more details see AliTRDclusterResolution::ProcessCenter().
533 : //
534 : //Begin_Html
535 : //<img src="TRD/clusterPRFerror.gif">
536 : //End_Html
537 : //
538 : // Author
539 : // A.Bercuci <A.Bercuci@gsi.de>
540 : //
541 :
542 : /* const Float_t scy[AliTRDgeometry::kNlayer][4] = {
543 : {2.827e-02, 9.600e-04, 4.296e-01, 2.271e-02},
544 : {2.952e-02,-2.198e-04, 4.146e-01, 2.339e-02},
545 : {3.090e-02, 1.514e-03, 4.020e-01, 2.402e-02},
546 : {3.260e-02,-2.037e-03, 3.946e-01, 2.509e-02},
547 : {3.439e-02,-3.601e-04, 3.883e-01, 2.623e-02},
548 : {3.510e-02, 2.066e-03, 3.651e-01, 2.588e-02},
549 : };*/
550 : const Float_t lPRF[] = {0.438, 0.403, 0.393, 0.382, 0.376, 0.345};
551 :
552 57978 : return s2*TMath::Gaus(center, 0., lPRF[ly]);
553 : }
554 :
555 :
556 : //___________________________________________________________________________
557 : Double_t AliTRDcluster::GetXcorr(Int_t tb, Double_t z)
558 : {
559 : //
560 : // Drift length correction [cm]. Due to variation of mean drift velocity along the drift region
561 : // from nominal vd at xd->infinity. For drift velocity determination based on tracking information
562 : // the correction should be negligible.
563 : //Begin_Html
564 : //<img src="TRD/clusterXcorr.gif">
565 : //End_Html
566 : // TODO to be parametrized in term of drift velocity at infinite drift length
567 : // A.Bercuci (Mar 28 2009)
568 : //
569 :
570 0 : if(tb<0 || tb>=24) return 0.;
571 : const Int_t nd = 5;
572 : static const Double_t dx[24][nd]={
573 : {+1.747e-01,+3.195e-01,+1.641e-01,+1.607e-01,+6.002e-01},
574 : {+5.468e-02,+5.760e-02,+6.365e-02,+8.003e-02,+1.067e-01},
575 : {-6.327e-02,-6.339e-02,-6.423e-02,-6.900e-02,-7.949e-02},
576 : {-1.417e-01,-1.424e-01,-1.450e-01,-1.465e-01,-1.514e-01},
577 : {-1.637e-01,-1.619e-01,-1.622e-01,-1.613e-01,-1.648e-01},
578 : {-1.386e-01,-1.334e-01,-1.261e-01,-1.276e-01,-1.314e-01},
579 : {-8.799e-02,-8.299e-02,-7.861e-02,-8.038e-02,-8.436e-02},
580 : {-5.139e-02,-4.849e-02,-4.641e-02,-4.965e-02,-5.286e-02},
581 : {-2.927e-02,-2.773e-02,-2.807e-02,-3.021e-02,-3.378e-02},
582 : {-1.380e-02,-1.229e-02,-1.335e-02,-1.547e-02,-1.984e-02},
583 : {-4.168e-03,-4.601e-03,-5.462e-03,-8.164e-03,-1.035e-02},
584 : {+2.044e-03,+1.889e-03,+9.603e-04,-1.342e-03,-3.736e-03},
585 : {+3.568e-03,+3.581e-03,+2.391e-03,+2.942e-05,-1.585e-03},
586 : {+4.403e-03,+4.571e-03,+3.509e-03,+8.703e-04,-1.425e-03},
587 : {+4.941e-03,+4.808e-03,+3.284e-03,+1.105e-03,-1.208e-03},
588 : {+5.124e-03,+5.022e-03,+4.305e-03,+2.023e-03,-1.145e-03},
589 : {+4.882e-03,+4.008e-03,+3.408e-03,+7.886e-04,-1.356e-03},
590 : {+3.852e-03,+3.539e-03,+2.057e-03,+1.670e-04,-1.993e-03},
591 : {+2.154e-03,+2.111e-03,+5.723e-04,-1.254e-03,-3.256e-03},
592 : {+1.755e-03,+2.101e-03,+9.516e-04,-1.649e-03,-3.394e-03},
593 : {+1.617e-03,+1.662e-03,+4.169e-04,-9.843e-04,-4.309e-03},
594 : {-9.204e-03,-9.069e-03,-1.182e-02,-1.458e-02,-1.880e-02},
595 : {-6.727e-02,-6.820e-02,-6.804e-02,-7.134e-02,-7.615e-02},
596 : {-1.802e-01,-1.733e-01,-1.633e-01,-1.601e-01,-1.632e-01}
597 : };
598 : // const Double_t dx[24][nd]={
599 : // {+0.000e+00,+0.000e+00,+0.000e+00,+0.000e+00,+0.000e+00,+0.000e+00,+0.000e+00,+0.000e+00,+0.000e+00,+0.000e+00},
600 : // {-2.763e-04,-2.380e-04,-6.286e-04,-9.424e-04,+1.046e-03,+1.932e-03,+1.620e-03,+1.951e-03,-1.321e-03,-1.115e-03},
601 : // {-1.825e-03,-9.245e-04,-1.012e-03,-8.215e-04,+2.703e-05,+1.403e-03,+2.340e-03,+2.577e-03,+2.017e-03,+8.006e-04},
602 : // {-3.070e-03,-8.563e-04,-1.257e-03,+8.491e-05,+4.503e-04,-2.467e-05,-1.793e-04,+5.085e-04,+1.321e-03,+4.056e-04},
603 : // {-3.637e-03,-2.857e-03,-3.098e-03,-2.304e-03,-1.467e-03,-1.755e-03,+4.585e-04,+2.757e-03,+3.184e-03,+3.525e-03},
604 : // {-9.884e-03,-7.695e-03,-7.290e-03,-3.990e-03,-9.982e-04,+2.226e-03,+3.375e-03,+6.419e-03,+7.209e-03,+6.891e-03},
605 : // {-6.844e-03,-5.807e-03,-4.012e-03,-1.566e-03,+5.035e-04,+2.024e-03,+3.225e-03,+3.918e-03,+5.942e-03,+6.024e-03},
606 : // {-2.628e-03,-2.201e-03,-4.562e-04,+9.832e-04,+3.411e-03,+2.062e-03,+1.526e-03,+9.350e-04,+8.842e-04,+1.007e-03},
607 : // {+6.603e-04,+1.545e-03,+1.681e-03,+1.918e-03,+2.165e-03,+1.825e-03,+1.691e-03,-1.923e-04,+1.835e-04,-1.284e-03},
608 : // {+1.895e-03,+1.586e-03,+2.000e-03,+3.537e-03,+2.526e-03,+1.316e-03,+8.229e-04,-7.671e-05,-2.175e-03,-3.528e-03},
609 : // {+2.927e-03,+3.369e-03,+3.603e-03,+2.675e-03,+2.737e-03,+1.133e-03,+4.318e-04,-1.215e-03,-2.443e-03,-3.116e-03},
610 : // {+3.072e-03,+3.564e-03,+3.612e-03,+3.149e-03,+2.768e-03,+1.186e-03,+3.083e-04,-1.447e-03,-2.480e-03,-3.263e-03},
611 : // {+2.697e-03,+3.565e-03,+3.759e-03,+2.855e-03,+2.909e-03,+6.564e-04,-5.224e-04,-3.309e-04,-1.636e-03,-3.739e-03},
612 : // {+3.633e-03,+3.232e-03,+3.727e-03,+3.024e-03,+3.365e-03,+1.598e-03,-6.903e-04,-1.039e-03,-3.176e-03,-4.472e-03},
613 : // {+2.999e-03,+3.942e-03,+3.322e-03,+3.162e-03,+1.978e-03,+1.657e-03,-4.760e-04,-8.343e-04,-2.346e-03,-3.281e-03},
614 : // {+3.734e-03,+3.098e-03,+3.435e-03,+2.512e-03,+2.651e-03,+1.745e-03,+9.424e-04,-1.404e-03,-3.177e-03,-4.444e-03},
615 : // {+3.204e-03,+4.003e-03,+3.068e-03,+2.697e-03,+3.187e-03,+3.878e-04,-1.124e-04,-1.855e-03,-2.584e-03,-3.807e-03},
616 : // {+2.653e-03,+3.631e-03,+2.327e-03,+3.460e-03,+1.810e-03,+1.244e-03,-3.651e-04,-2.664e-04,-2.307e-03,-3.642e-03},
617 : // {+2.538e-03,+3.208e-03,+2.390e-03,+3.519e-03,+1.763e-03,+1.330e-04,+1.669e-04,-1.422e-03,-1.685e-03,-3.519e-03},
618 : // {+2.605e-03,+2.465e-03,+2.771e-03,+2.966e-03,+2.361e-03,+6.029e-04,-4.435e-04,-1.876e-03,-1.694e-03,-3.757e-03},
619 : // {+2.866e-03,+3.315e-03,+3.146e-03,+2.117e-03,+1.933e-03,+9.339e-04,+9.556e-04,-1.314e-03,-3.615e-03,-3.558e-03},
620 : // {+4.002e-03,+3.543e-03,+3.631e-03,+4.127e-03,+1.919e-03,-2.852e-04,-9.484e-04,-2.060e-03,-4.477e-03,-5.491e-03},
621 : // {+6.029e-03,+5.147e-03,+4.286e-03,+2.215e-03,+9.240e-04,-1.554e-03,-2.366e-03,-3.635e-03,-5.372e-03,-6.467e-03},
622 : // {+3.941e-03,+3.995e-03,+5.638e-04,-3.332e-04,-2.539e-03,-3.764e-03,-3.647e-03,-4.900e-03,-5.414e-03,-5.202e-03}
623 : // };
624 0 : if(z>=0. && z<.25) return dx[tb][Int_t(z/.025)];
625 :
626 0 : Double_t m = 0.; for(Int_t id=nd; id--;) m+=dx[tb][id];
627 0 : return m/nd;
628 0 : }
629 :
630 : //___________________________________________________________________________
631 : Double_t AliTRDcluster::GetYcorr(Int_t ly, Float_t y)
632 : {
633 : //
634 : // PRF correction for the LUT r-phi cluster shape.
635 : //Begin_Html
636 : //<img src="TRD/clusterYcorr.gif">
637 : //End_Html
638 : //
639 :
640 : static const Float_t cy[AliTRDgeometry::kNlayer][3] = {
641 : { 4.014e-04, 8.605e-03, -6.880e+00},
642 : {-3.061e-04, 9.663e-03, -6.789e+00},
643 : { 1.124e-03, 1.105e-02, -6.825e+00},
644 : {-1.527e-03, 1.231e-02, -6.777e+00},
645 : { 2.150e-03, 1.387e-02, -6.783e+00},
646 : {-1.296e-03, 1.486e-02, -6.825e+00}
647 : };
648 :
649 36904 : return cy[ly][0] + cy[ly][1] * TMath::Sin(cy[ly][2] * y);
650 : }
651 :
652 : //_____________________________________________________________________________
653 : Float_t AliTRDcluster::GetXloc(Double_t t0, Double_t vd
654 : , const Double_t *const /*q*/
655 : , const Double_t *const /*xq*/
656 : , Double_t /*z*/)
657 : {
658 : //
659 : // (Re)Calculate cluster position in the x direction in local chamber coordinates (with respect to the anode wire
660 : // position) using all available information from tracking.
661 : // Input parameters:
662 : // t0 - calibration aware trigger delay [us]
663 : // vd - drift velocity in the region of the cluster [cm/us]
664 : // z - distance to the anode wire [cm]. By default average over the drift cell width.
665 : // q & xq - array of charges and cluster positions from previous clusters in the tracklet [a.u.]
666 : // Output values :
667 : // return x position of the cluster with respect to the
668 : // anode wire using all tracking information
669 : //
670 : // The estimation of the radial position is based on calculating the drift time and the drift velocity at the point of
671 : // estimation. The drift time can be estimated according to the expression:
672 : // BEGIN_LATEX
673 : // t_{drift} = t_{bin} - t_{0} - t_{cause}(x) - t_{TC}(q_{i-1}, q_{i-2}, ...)
674 : // END_LATEX
675 : // where t_0 is the delay of the trigger signal. t_cause is the causality delay between ionisation electrons hitting
676 : // the anode and the registration of maximum signal by the electronics - it is due to the rising time of the TRF
677 : // A second order correction here comes from the fact that the time spreading of charge at anode is the convolution of
678 : // TRF with the diffusion and thus cross-talk between clusters before and after local clusters changes with drift length.
679 : // t_TC is the residual charge from previous (in time) clusters due to residual tails after tail cancellation.
680 : // This tends to push cluster forward and depends on the magnitude of their charge.
681 : //
682 : // The drift velocity varies with the drift length (and distance to anode wire) as described by cell structure simulation.
683 : // Thus one, in principle, can calculate iteratively the drift length from the expression:
684 : // BEGIN_LATEX
685 : // x = t_{drift}(x)*v_{drift}(x)
686 : // END_LATEX
687 : // In practice we use a numerical approach (AliTRDcluster::GetXcorr()) to correct for anisochronity obtained from MC
688 : // comparison (see AliTRDclusterResolution::ProcessSigma()). Also the calibration of 0 approximation (no x dependence)
689 : // for t_cause is obtained from MC comparisons and impossible to disentangle in real life from trigger delay.
690 : //
691 : // Author
692 : // Alex Bercuci <A.Bercuci@gsi.de>
693 : //
694 :
695 36904 : AliTRDCommonParam *cp = AliTRDCommonParam::Instance();
696 18452 : Double_t fFreq = cp->GetSamplingFrequency();
697 :
698 : //drift time corresponding to the center of the time bin
699 18452 : Double_t td = (fPadTime + .5)/fFreq; // [us]
700 : // correction for t0
701 18452 : td -= t0;
702 : // time bin corrected for t0
703 : // Bug in TMath::Nint().root-5.23.02
704 : // TMath::Nint(3.5) = 4 and TMath::Nint(4.5) = 4
705 18452 : Double_t tmp = td*fFreq;
706 18452 : fLocalTimeBin = Char_t(TMath::Floor(tmp));
707 18452 : if(tmp-fLocalTimeBin > .5) fLocalTimeBin++;
708 18978 : if(td < .2) return 0.;
709 : // TRF rising time (fitted)
710 : // It should be absorbed by the t0. For the moment t0 is 0 for simulations.
711 : // A.Bercuci (Mar 26 2009)
712 17926 : td -= 0.189;
713 :
714 : // apply fitted correction
715 35852 : Float_t x = td*vd + (HasXcorr() ? GetXcorr(fLocalTimeBin) : 0.);
716 52743 : if(x>0.&&x<.5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght()) SetInChamber();
717 :
718 : return x;
719 18452 : }
720 :
721 : //_____________________________________________________________________________
722 : Float_t AliTRDcluster::GetYloc(Double_t y0, Double_t s2, Double_t W
723 : , Double_t *const y1, Double_t *const y2)
724 : {
725 : //
726 : // Calculate, in tracking cooordinate system, the r-phi offset the cluster
727 : // from the middle of the center pad. Three possible methods are implemented:
728 : // - Center of Gravity (COG) see AliTRDcluster::GetDYcog()
729 : // - Look-up Table (LUT) see AliTRDcluster::GetDYlut()
730 : // - Gauss shape (GAUS) see AliTRDcluster::GetDYgauss()
731 : // In addition for the case of LUT method position corrections are also
732 : // applied (see AliTRDcluster::GetYcorr())
733 : //
734 :
735 36904 : if(IsRPhiMethod(kCOG)) GetDYcog();
736 36904 : else if(IsRPhiMethod(kLUT)) GetDYlut();
737 0 : else if(IsRPhiMethod(kGAUS)) GetDYgauss(s2/W/W, y1, y2);
738 0 : else return 0.;
739 :
740 18452 : if(y1) (*y1)*=W;
741 18452 : if(y2) (*y2)*=W;
742 :
743 55356 : return y0+fCenter*W+(IsRPhiMethod(kLUT)?GetYcorr(AliTRDgeometry::GetLayer(fDetector), fCenter):0.);
744 18452 : }
745 :
746 : //___________________________________________________________________________
747 : void AliTRDcluster::SetSigmaY2(Float_t s2, Float_t dt, Float_t exb, Float_t x, Float_t z, Float_t tgp)
748 : {
749 : //
750 : // Set variance of TRD cluster in the r-phi direction for each method.
751 : // Parameters :
752 : // - s2 - variance due to PRF width for the case of Gauss model. Replaced by parameterization in case of LUT.
753 : // - dt - transversal diffusion coeficient
754 : // - exb - tg of lorentz angle
755 : // - x - drift length - with respect to the anode wire
756 : // - z - offset from the anode wire
757 : // - tgp - local tangent of the track momentum azimuthal angle
758 : //
759 : // The ingredients from which the error is computed are:
760 : // - PRF (charge sharing on adjacent pads) - see AliTRDcluster::GetSYprf()
761 : // - diffusion (dependence with drift length and [2nd order] distance to anode wire) - see AliTRDcluster::GetSYdrift()
762 : // - charge of the cluster (complex dependence on gain and tail cancellation) - see AliTRDcluster::GetSYcharge()
763 : // - lorentz angle (dependence on the drift length and [2nd order] distance to anode wire) - see AliTRDcluster::GetSX()
764 : // - track angle (superposition of charges on the anode wire) - see AliTRDseedV1::Fit()
765 : // - projection of radial(x) error on r-phi due to fixed value assumed in tracking for x - see AliTRDseedV1::Fit()
766 : //
767 : // The last 2 contributions to cluster error can be estimated only during tracking when the track angle
768 : // is known (tgp). For this reason the errors (and optional position) of TRD clusters are recalculated during
769 : // tracking and thus clusters attached to tracks might differ from bare clusters.
770 : //
771 : // Taking into account all contributions one can write the the TRD cluster error parameterization as:
772 : // BEGIN_LATEX
773 : // #sigma_{y}^{2} = (#sigma_{diff}*Gauss(0, s_{ly}) + #delta_{#sigma}(q))^{2} + tg^{2}(#alpha_{L})*#sigma_{x}^{2} + tg^{2}(#phi-#alpha_{L})*#sigma_{x}^{2}+[tg(#phi-#alpha_{L})*tg(#alpha_{L})*x]^{2}/12
774 : // END_LATEX
775 : // From this formula one can deduce a that the simplest calibration method for PRF and diffusion contributions is
776 : // by measuring resolution at B=0T and phi=0. To disentangle further the two remaining contributions one has
777 : // to represent s2 as a function of drift length.
778 : //
779 : // In the gaussian model the diffusion contribution can be expressed as:
780 : // BEGIN_LATEX
781 : // #sigma^{2}_{y} = #sigma^{2}_{PRF} + #frac{x#delta_{t}^{2}}{(1+tg(#alpha_{L}))^{2}}
782 : // END_LATEX
783 : // thus resulting the PRF contribution. For the case of the LUT model both contributions have to be determined from
784 : // the fit (see AliTRDclusterResolution::ProcessCenter() for details).
785 : //
786 : // Author:
787 : // A.Bercuci <A.Bercuci@gsi.de>
788 : //
789 :
790 : Float_t sigmaY2 = 0.;
791 57978 : Int_t ly = AliTRDgeometry::GetLayer(fDetector);
792 28989 : if(IsRPhiMethod(kCOG)) sigmaY2 = 4.e-4;
793 28989 : else if(IsRPhiMethod(kLUT)){
794 28989 : Float_t sd = GetSYdrift(fLocalTimeBin, ly, z); //printf("drift[%6.2f] ", 1.e4*sd);
795 28989 : sigmaY2 = GetSYprf(ly, fCenter, sd); //printf("PRF[%6.2f] ", 1.e4*sigmaY2);
796 : // add charge contribution TODO scale with respect to s2
797 28989 : sigmaY2+= GetSYcharge(TMath::Abs(fQ)); //printf("Q[%6.2f] ", 1.e4*sigmaY2);
798 28989 : sigmaY2 = TMath::Max(sigmaY2, Float_t(0.0010)); //!! protection
799 28989 : sigmaY2*= sigmaY2;
800 28989 : } else if(IsRPhiMethod(kGAUS)){
801 : // PRF contribution
802 : sigmaY2 = s2;
803 : // Diffusion contribution
804 0 : Double_t sD2 = dt/(1.+exb); sD2 *= sD2; sD2 *= x;
805 0 : sigmaY2+= sD2;
806 : // add charge contribution TODO scale with respect to s2
807 : //sigmaY2+= GetSYcharge(TMath::Abs(fQ));
808 0 : }
809 :
810 : // store tg^2(phi-a_L) and tg^2(a_L)
811 : // limit parametrization to a maximum angle of 25 deg
812 29855 : if(TMath::Abs(tgp)>0.466) tgp = (tgp>0.)?0.466:-0.466;
813 28989 : Double_t tgg = (tgp-exb)/(1.+tgp*exb); tgg *= tgg;
814 28989 : Double_t exb2= exb*exb;
815 :
816 : // Lorentz angle shift contribution
817 28989 : Float_t sx = GetSX(fLocalTimeBin, z); sx*=sx;
818 28989 : sigmaY2+= exb2*sx; //printf("Al[%6.2f] ", 1.e4*TMath::Sqrt(sigmaY2));
819 :
820 : // Radial contribution due to not measuring x in Kalman model
821 28989 : sigmaY2+= tgg*sx; //printf("x[%6.2f] ", 1.e4*TMath::Sqrt(sigmaY2));
822 :
823 : // Track angle contribution
824 28989 : sigmaY2+= tgg*x*x*exb2/12.; //printf("angle[%6.2f]\n", 1.e4*TMath::Sqrt(sigmaY2));
825 :
826 28989 : AliCluster::SetSigmaY2(sigmaY2);
827 :
828 28989 : }
829 :
830 : //_____________________________________________________________________________
831 : Bool_t AliTRDcluster::IsEqual(const TObject *o) const
832 : {
833 : //
834 : // Compare relevant information of this cluster with another one
835 : //
836 :
837 0 : const AliTRDcluster *inCluster = dynamic_cast<const AliTRDcluster*>(o);
838 0 : if (!o || !inCluster) return kFALSE;
839 :
840 0 : if ( AliCluster::GetX() != inCluster->GetX() ) return kFALSE;
841 0 : if ( AliCluster::GetY() != inCluster->GetY() ) return kFALSE;
842 0 : if ( AliCluster::GetZ() != inCluster->GetZ() ) return kFALSE;
843 0 : if ( fQ != inCluster->fQ ) return kFALSE;
844 0 : if ( fDetector != inCluster->fDetector ) return kFALSE;
845 0 : if ( fPadCol != inCluster->fPadCol ) return kFALSE;
846 0 : if ( fPadRow != inCluster->fPadRow ) return kFALSE;
847 0 : if ( fPadTime != inCluster->fPadTime ) return kFALSE;
848 0 : if ( fClusterMasking != inCluster->fClusterMasking ) return kFALSE;
849 0 : if ( IsInChamber() != inCluster->IsInChamber() ) return kFALSE;
850 0 : if ( IsShared() != inCluster->IsShared() ) return kFALSE;
851 0 : if ( IsUsed() != inCluster->IsUsed() ) return kFALSE;
852 :
853 0 : return kTRUE;
854 :
855 0 : }
856 :
857 : //_____________________________________________________________________________
858 : void AliTRDcluster::Print(Option_t *o) const
859 : {
860 : //
861 : // Print cluster information
862 : //
863 :
864 0 : if(strcmp(o, "a")==0) {
865 0 : Char_t mcInfo[100]; if(IsMCcluster()) snprintf(mcInfo, 100, "\n MC[%5d %5d %5d]", GetLabel(0), GetLabel(1), GetLabel(2));
866 0 : AliInfo(Form(
867 : "\nDet[%3d] LTrC[%+6.2f %+6.2f %+6.2f] Q[%6.2f] Qr[%4d] FLAG[in(%c) use(%c) sh(%c)] Y[%s]"
868 : "\n LChC[c(%3d) r(%2d) t(%2d)] t-t0[%2d] Npad[%d] cen[%5.3f] mask[%d]"
869 : "\n QS[%s][%3d %3d %3d %3d %3d %3d %3d]"
870 : "\n S2Y[%e] S2Z[%e]"
871 : "%s"
872 : , fDetector, GetX(), GetY(), GetZ(), fQ, GetRawQ(),
873 : IsInChamber() ? 'y' : 'n',
874 : IsUsed() ? 'y' : 'n',
875 : IsShared() ? 'y' : 'n',
876 : IsRPhiMethod(kGAUS)?"GAUS":(IsRPhiMethod(kLUT)?"LUT":"COG")
877 : , fPadCol, fPadRow, fPadTime, fLocalTimeBin, fNPads, fCenter, fClusterMasking
878 : , TestBit(kRawSignals)?"raw":"cal", fSignals[0], fSignals[1], fSignals[2], fSignals[3]
879 : , fSignals[4], fSignals[5], fSignals[6]
880 : , GetSigmaY2(), GetSigmaZ2()
881 : , IsMCcluster()?mcInfo:""
882 : ));
883 0 : } else {
884 0 : AliInfo(Form("Det[%3d] LTrC[%+6.2f %+6.2f %+6.2f] Q[%6.2f] FLAG[in(%c) use(%c) sh(%c)] Y[%s]",
885 : fDetector, GetX(), GetY(), GetZ(), fQ,
886 : IsInChamber() ? 'y' : 'n',
887 : IsUsed() ? 'y' : 'n',
888 : IsShared() ? 'y' : 'n',
889 : IsRPhiMethod(kGAUS)?"GAUS":(IsRPhiMethod(kLUT)?"LUT":"COG")
890 : ));
891 : }
892 0 : }
893 :
894 : //_____________________________________________________________________________
895 : void AliTRDcluster::SetPadMaskedPosition(UChar_t position)
896 : {
897 : //
898 : // Store the pad corruption position code
899 : //
900 : // Code: 1 = left cluster
901 : // 2 = middle cluster;
902 : // 4 = right cluster
903 : //
904 :
905 0 : for (Int_t ipos = 0; ipos < 3; ipos++) {
906 0 : if (TESTBIT(position, ipos))
907 0 : SETBIT(fClusterMasking, ipos);
908 : }
909 0 : }
910 :
911 : //_____________________________________________________________________________
912 : void AliTRDcluster::SetPadMaskedStatus(UChar_t status)
913 : {
914 : //
915 : // Store the status of the corrupted pad
916 : //
917 : // Code: 2 = noisy
918 : // 4 = Bridged Left
919 : // 8 = Bridged Right
920 : // 32 = Not Connected
921 : //
922 :
923 0 : for (Int_t ipos = 0; ipos < 5; ipos++) {
924 0 : if(TESTBIT(status, ipos))
925 0 : SETBIT(fClusterMasking, ipos + 3);
926 : }
927 :
928 0 : }
929 :
930 : //___________________________________________________________________________
931 : Float_t AliTRDcluster::GetDYcog(const Double_t *const, const Double_t *const)
932 : {
933 : //
934 : // Get COG position
935 : // Used for clusters with more than 3 pads - where LUT not applicable
936 : //
937 :
938 0 : Double_t sum = fSignals[1]
939 0 : +fSignals[2]
940 0 : +fSignals[3]
941 0 : +fSignals[4]
942 0 : +fSignals[5];
943 :
944 : // ???????????? CBL
945 : // Go to 3 pad COG ????
946 : // ???????????? CBL
947 0 : fCenter = (0.0 * (-fSignals[1] + fSignals[5])
948 0 : + (-fSignals[2] + fSignals[4])) / sum;
949 :
950 0 : return fCenter;
951 : }
952 :
953 : //___________________________________________________________________________
954 : Float_t AliTRDcluster::GetDYlut(const Double_t *const, const Double_t *const)
955 : {
956 : //
957 : // Calculates the cluster position using the lookup table.
958 : // Method provided by Bogdan Vulpescu.
959 : //
960 :
961 36906 : if(!fgLUT) FillLUT();
962 :
963 18452 : Double_t ampL = fSignals[2],
964 18452 : ampC = fSignals[3],
965 18452 : ampR = fSignals[4];
966 18452 : Int_t ilayer = AliTRDgeometry::GetLayer(fDetector);
967 :
968 : Double_t x = 0.0;
969 : Double_t xmin, xmax, xwid;
970 :
971 : Int_t side = 0;
972 : Int_t ix;
973 :
974 18452 : Double_t xMin[AliTRDgeometry::kNlayer] = {
975 : 0.006492, 0.006377, 0.006258, 0.006144, 0.006030, 0.005980
976 : };
977 18452 : Double_t xMax[AliTRDgeometry::kNlayer] = {
978 : 0.960351, 0.965870, 0.970445, 0.974352, 0.977667, 0.996101
979 : };
980 :
981 18452 : if (ampL > ampR) {
982 9143 : x = (ampL - ampR) / ampC;
983 : side = -1;
984 9143 : }
985 9309 : else if (ampL < ampR) {
986 8897 : x = (ampR - ampL) / ampC;
987 : side = +1;
988 8897 : }
989 :
990 18452 : if (ampL != ampR) {
991 :
992 18040 : xmin = xMin[ilayer] + 0.000005;
993 18040 : xmax = xMax[ilayer] - 0.000005;
994 18040 : xwid = (xmax - xmin) / 127.0;
995 :
996 18058 : if (x < xmin) fCenter = 0.0000;
997 18153 : else if (x > xmax) fCenter = side * 0.5000;
998 : else {
999 17891 : ix = (Int_t) ((x - xmin) / xwid);
1000 17891 : fCenter = side * fgLUT[ilayer*fgkNlut+ix];
1001 : }
1002 412 : } else fCenter = 0.0;
1003 :
1004 36904 : return fCenter;
1005 18452 : }
1006 :
1007 : //___________________________________________________________________________
1008 : Float_t AliTRDcluster::GetDYgauss(Double_t s2w, Double_t *const y1, Double_t *const y2)
1009 : {
1010 : //
1011 : // (Re)Calculate cluster position in the y direction in local chamber coordinates using all available information from tracking.
1012 : //
1013 : // Input parameters:
1014 : // s2 - sigma of gaussian parameterization (see bellow for the exact parameterization)
1015 : // W - pad width
1016 : // xd - drift length (with respect to the anode wire) [cm]
1017 : // wt - omega*tau = tg(a_L)
1018 : // Output values :
1019 : // y1 and y2 - partial positions based on 2 pads clusters
1020 : // return y position of the cluster from all information
1021 : //
1022 : // Estimation of y coordinate is based on the gaussian approximation of the PRF. Thus one may
1023 : // calculate the y position knowing the signals q_i-1, q_i and q_i+1 in the 3 adiacent pads by:
1024 : // BEGIN_LATEX
1025 : // y = #frac{1}{w_{1}+w_{2}}#[]{w_{1}#(){y_{0}-#frac{W}{2}+#frac{s^{2}}{W}ln#frac{q_{i}}{q_{i-1}}}+w_{2}#(){y_{0}+ #frac{W}{2}+#frac{s^{2}}{W}ln#frac{q_{i+1}}{q_{i}}}}
1026 : // END_LATEX
1027 : // where W is the pad width, y_0 is the position of the center pad and s^2 is given by
1028 : // BEGIN_LATEX
1029 : // s^{2} = s^{2}_{0} + s^{2}_{diff} (x,B) + #frac{tg^{2}(#phi-#alpha_{L})*l^{2}}{12}
1030 : // END_LATEX
1031 : // with s_0 being the PRF for 0 drift and track incidence phi equal to the lorentz angle a_L and the diffusion term
1032 : // being described by:
1033 : // BEGIN_LATEX
1034 : // s_{diff} (x,B) = #frac{D_{L}#sqrt{x}}{1+#(){#omega#tau}^{2}}
1035 : // END_LATEX
1036 : // with x being the drift length. The weights w_1 and w_2 are taken to be q_i-1^2 and q_i+1^2 respectively
1037 : //
1038 : // Authors
1039 : // Alex Bercuci <A.Bercuci@gsi.de>
1040 : // Theodor Rascanu <trascanu@stud.uni-frankfurt.de>
1041 : //
1042 0 : Double_t w1 = fSignals[2]*fSignals[2];
1043 0 : Double_t w2 = fSignals[4]*fSignals[4];
1044 0 : Double_t w = w1+w2;
1045 0 : if(w<1.){
1046 0 : AliError("Missing side signals for cluster.");
1047 0 : Print("a");
1048 0 : return 0.;
1049 : }
1050 :
1051 : //Double_t s2w = s2/W/W;
1052 0 : Float_t y1r = fSignals[2]>0 ? (-0.5 + s2w*TMath::Log(fSignals[3]/(Float_t)fSignals[2])) : 0.;
1053 0 : Float_t y2r = fSignals[4]>0 ? (0.5 + s2w*TMath::Log(fSignals[4]/(Float_t)fSignals[3])) : 0.;
1054 :
1055 0 : if(y1) (*y1) = y1r;
1056 0 : if(y2) (*y2) = y2r;
1057 :
1058 0 : return fCenter = (w1*y1r+w2*y2r)/w;
1059 0 : }
1060 :
1061 :
1062 :
1063 : //_____________________________________________________________________________
1064 : void AliTRDcluster::FillLUT()
1065 : {
1066 : //
1067 : // Create the LUT
1068 : //
1069 :
1070 : // The lookup table from Bogdan
1071 4 : Float_t lut[AliTRDgeometry::kNlayer][fgkNlut] = {
1072 : {
1073 : 0.0070, 0.0150, 0.0224, 0.0298, 0.0374, 0.0454, 0.0533, 0.0611,
1074 : 0.0684, 0.0755, 0.0827, 0.0900, 0.0975, 0.1049, 0.1120, 0.1187,
1075 : 0.1253, 0.1318, 0.1385, 0.1453, 0.1519, 0.1584, 0.1646, 0.1704,
1076 : 0.1762, 0.1821, 0.1879, 0.1938, 0.1996, 0.2053, 0.2108, 0.2160,
1077 : 0.2210, 0.2260, 0.2310, 0.2361, 0.2411, 0.2461, 0.2509, 0.2557,
1078 : 0.2602, 0.2646, 0.2689, 0.2732, 0.2774, 0.2816, 0.2859, 0.2901,
1079 : 0.2942, 0.2983, 0.3022, 0.3061, 0.3099, 0.3136, 0.3172, 0.3207,
1080 : 0.3242, 0.3278, 0.3312, 0.3347, 0.3382, 0.3416, 0.3450, 0.3483,
1081 : 0.3515, 0.3547, 0.3579, 0.3609, 0.3639, 0.3669, 0.3698, 0.3727,
1082 : 0.3756, 0.3785, 0.3813, 0.3842, 0.3870, 0.3898, 0.3926, 0.3952,
1083 : 0.3979, 0.4005, 0.4032, 0.4057, 0.4082, 0.4108, 0.4132, 0.4157,
1084 : 0.4181, 0.4205, 0.4228, 0.4252, 0.4275, 0.4299, 0.4322, 0.4345,
1085 : 0.4367, 0.4390, 0.4412, 0.4434, 0.4456, 0.4478, 0.4499, 0.4520,
1086 : 0.4541, 0.4562, 0.4583, 0.4603, 0.4623, 0.4643, 0.4663, 0.4683,
1087 : 0.4702, 0.4722, 0.4741, 0.4758, 0.4774, 0.4790, 0.4805, 0.4824,
1088 : 0.4844, 0.4863, 0.4883, 0.4902, 0.4921, 0.4940, 0.4959, 0.4978
1089 : },
1090 : {
1091 : 0.0072, 0.0156, 0.0235, 0.0313, 0.0394, 0.0478, 0.0561, 0.0642,
1092 : 0.0718, 0.0792, 0.0868, 0.0947, 0.1025, 0.1101, 0.1172, 0.1241,
1093 : 0.1309, 0.1378, 0.1449, 0.1518, 0.1586, 0.1650, 0.1710, 0.1770,
1094 : 0.1830, 0.1891, 0.1952, 0.2011, 0.2070, 0.2125, 0.2177, 0.2229,
1095 : 0.2280, 0.2332, 0.2383, 0.2435, 0.2484, 0.2533, 0.2581, 0.2627,
1096 : 0.2670, 0.2714, 0.2757, 0.2799, 0.2842, 0.2884, 0.2927, 0.2968,
1097 : 0.3008, 0.3048, 0.3086, 0.3123, 0.3159, 0.3195, 0.3231, 0.3266,
1098 : 0.3301, 0.3335, 0.3370, 0.3404, 0.3438, 0.3471, 0.3504, 0.3536,
1099 : 0.3567, 0.3598, 0.3628, 0.3657, 0.3686, 0.3715, 0.3744, 0.3772,
1100 : 0.3800, 0.3828, 0.3856, 0.3884, 0.3911, 0.3938, 0.3965, 0.3991,
1101 : 0.4016, 0.4042, 0.4067, 0.4092, 0.4116, 0.4140, 0.4164, 0.4187,
1102 : 0.4211, 0.4234, 0.4257, 0.4280, 0.4302, 0.4325, 0.4347, 0.4369,
1103 : 0.4391, 0.4413, 0.4434, 0.4456, 0.4477, 0.4497, 0.4518, 0.4538,
1104 : 0.4558, 0.4578, 0.4598, 0.4618, 0.4637, 0.4656, 0.4675, 0.4694,
1105 : 0.4713, 0.4732, 0.4750, 0.4766, 0.4781, 0.4797, 0.4813, 0.4832,
1106 : 0.4851, 0.4870, 0.4888, 0.4906, 0.4925, 0.4942, 0.4960, 0.4978
1107 : },
1108 : {
1109 : 0.0075, 0.0163, 0.0246, 0.0328, 0.0415, 0.0504, 0.0592, 0.0674,
1110 : 0.0753, 0.0832, 0.0914, 0.0996, 0.1077, 0.1154, 0.1225, 0.1296,
1111 : 0.1369, 0.1442, 0.1515, 0.1585, 0.1652, 0.1714, 0.1776, 0.1839,
1112 : 0.1902, 0.1965, 0.2025, 0.2085, 0.2141, 0.2194, 0.2247, 0.2299,
1113 : 0.2352, 0.2405, 0.2457, 0.2507, 0.2557, 0.2604, 0.2649, 0.2693,
1114 : 0.2737, 0.2780, 0.2823, 0.2867, 0.2909, 0.2951, 0.2992, 0.3033,
1115 : 0.3072, 0.3110, 0.3146, 0.3182, 0.3218, 0.3253, 0.3288, 0.3323,
1116 : 0.3357, 0.3392, 0.3426, 0.3459, 0.3492, 0.3524, 0.3555, 0.3586,
1117 : 0.3616, 0.3645, 0.3674, 0.3703, 0.3731, 0.3759, 0.3787, 0.3815,
1118 : 0.3843, 0.3870, 0.3897, 0.3925, 0.3950, 0.3976, 0.4002, 0.4027,
1119 : 0.4052, 0.4076, 0.4101, 0.4124, 0.4148, 0.4171, 0.4194, 0.4217,
1120 : 0.4239, 0.4262, 0.4284, 0.4306, 0.4328, 0.4350, 0.4371, 0.4393,
1121 : 0.4414, 0.4435, 0.4455, 0.4476, 0.4496, 0.4516, 0.4536, 0.4555,
1122 : 0.4575, 0.4594, 0.4613, 0.4632, 0.4650, 0.4669, 0.4687, 0.4705,
1123 : 0.4723, 0.4741, 0.4758, 0.4773, 0.4789, 0.4804, 0.4821, 0.4839,
1124 : 0.4857, 0.4875, 0.4893, 0.4910, 0.4928, 0.4945, 0.4961, 0.4978
1125 : },
1126 : {
1127 : 0.0078, 0.0171, 0.0258, 0.0345, 0.0438, 0.0532, 0.0624, 0.0708,
1128 : 0.0791, 0.0875, 0.0962, 0.1048, 0.1130, 0.1206, 0.1281, 0.1356,
1129 : 0.1432, 0.1508, 0.1582, 0.1651, 0.1716, 0.1780, 0.1845, 0.1910,
1130 : 0.1975, 0.2038, 0.2099, 0.2155, 0.2210, 0.2263, 0.2317, 0.2371,
1131 : 0.2425, 0.2477, 0.2528, 0.2578, 0.2626, 0.2671, 0.2715, 0.2759,
1132 : 0.2803, 0.2846, 0.2890, 0.2933, 0.2975, 0.3016, 0.3056, 0.3095,
1133 : 0.3132, 0.3168, 0.3204, 0.3239, 0.3274, 0.3309, 0.3344, 0.3378,
1134 : 0.3412, 0.3446, 0.3479, 0.3511, 0.3543, 0.3574, 0.3603, 0.3633,
1135 : 0.3662, 0.3690, 0.3718, 0.3747, 0.3774, 0.3802, 0.3829, 0.3857,
1136 : 0.3883, 0.3910, 0.3936, 0.3962, 0.3987, 0.4012, 0.4037, 0.4061,
1137 : 0.4085, 0.4109, 0.4132, 0.4155, 0.4177, 0.4200, 0.4222, 0.4244,
1138 : 0.4266, 0.4288, 0.4309, 0.4331, 0.4352, 0.4373, 0.4394, 0.4414,
1139 : 0.4435, 0.4455, 0.4475, 0.4494, 0.4514, 0.4533, 0.4552, 0.4571,
1140 : 0.4590, 0.4608, 0.4626, 0.4645, 0.4662, 0.4680, 0.4698, 0.4715,
1141 : 0.4733, 0.4750, 0.4766, 0.4781, 0.4796, 0.4812, 0.4829, 0.4846,
1142 : 0.4863, 0.4880, 0.4897, 0.4914, 0.4930, 0.4946, 0.4963, 0.4979
1143 : },
1144 : {
1145 : 0.0081, 0.0178, 0.0270, 0.0364, 0.0463, 0.0562, 0.0656, 0.0744,
1146 : 0.0831, 0.0921, 0.1013, 0.1102, 0.1183, 0.1261, 0.1339, 0.1419,
1147 : 0.1499, 0.1576, 0.1648, 0.1715, 0.1782, 0.1849, 0.1917, 0.1984,
1148 : 0.2048, 0.2110, 0.2167, 0.2223, 0.2278, 0.2333, 0.2389, 0.2444,
1149 : 0.2497, 0.2548, 0.2598, 0.2645, 0.2691, 0.2735, 0.2780, 0.2824,
1150 : 0.2868, 0.2912, 0.2955, 0.2997, 0.3038, 0.3078, 0.3116, 0.3152,
1151 : 0.3188, 0.3224, 0.3259, 0.3294, 0.3329, 0.3364, 0.3398, 0.3432,
1152 : 0.3465, 0.3497, 0.3529, 0.3561, 0.3591, 0.3620, 0.3649, 0.3677,
1153 : 0.3705, 0.3733, 0.3761, 0.3788, 0.3816, 0.3843, 0.3869, 0.3896,
1154 : 0.3922, 0.3948, 0.3973, 0.3998, 0.4022, 0.4047, 0.4070, 0.4094,
1155 : 0.4117, 0.4139, 0.4162, 0.4184, 0.4206, 0.4227, 0.4249, 0.4270,
1156 : 0.4291, 0.4313, 0.4334, 0.4354, 0.4375, 0.4395, 0.4415, 0.4435,
1157 : 0.4455, 0.4474, 0.4493, 0.4512, 0.4531, 0.4550, 0.4568, 0.4586,
1158 : 0.4604, 0.4622, 0.4639, 0.4657, 0.4674, 0.4691, 0.4708, 0.4725,
1159 : 0.4742, 0.4758, 0.4773, 0.4788, 0.4803, 0.4819, 0.4836, 0.4852,
1160 : 0.4869, 0.4885, 0.4901, 0.4917, 0.4933, 0.4948, 0.4964, 0.4979
1161 : },
1162 : {
1163 : 0.0085, 0.0189, 0.0288, 0.0389, 0.0497, 0.0603, 0.0699, 0.0792,
1164 : 0.0887, 0.0985, 0.1082, 0.1170, 0.1253, 0.1336, 0.1421, 0.1505,
1165 : 0.1587, 0.1662, 0.1733, 0.1803, 0.1874, 0.1945, 0.2014, 0.2081,
1166 : 0.2143, 0.2201, 0.2259, 0.2316, 0.2374, 0.2431, 0.2487, 0.2541,
1167 : 0.2593, 0.2642, 0.2689, 0.2735, 0.2781, 0.2826, 0.2872, 0.2917,
1168 : 0.2961, 0.3003, 0.3045, 0.3086, 0.3125, 0.3162, 0.3198, 0.3235,
1169 : 0.3270, 0.3306, 0.3342, 0.3377, 0.3411, 0.3446, 0.3479, 0.3511,
1170 : 0.3543, 0.3575, 0.3605, 0.3634, 0.3663, 0.3691, 0.3720, 0.3748,
1171 : 0.3775, 0.3803, 0.3830, 0.3857, 0.3884, 0.3911, 0.3937, 0.3962,
1172 : 0.3987, 0.4012, 0.4036, 0.4060, 0.4084, 0.4107, 0.4129, 0.4152,
1173 : 0.4174, 0.4196, 0.4218, 0.4239, 0.4261, 0.4282, 0.4303, 0.4324,
1174 : 0.4344, 0.4365, 0.4385, 0.4405, 0.4425, 0.4445, 0.4464, 0.4483,
1175 : 0.4502, 0.4521, 0.4539, 0.4558, 0.4576, 0.4593, 0.4611, 0.4629,
1176 : 0.4646, 0.4663, 0.4680, 0.4697, 0.4714, 0.4730, 0.4747, 0.4759,
1177 : 0.4769, 0.4780, 0.4790, 0.4800, 0.4811, 0.4827, 0.4843, 0.4859,
1178 : 0.4874, 0.4889, 0.4905, 0.4920, 0.4935, 0.4950, 0.4965, 0.4979
1179 : }
1180 : };
1181 :
1182 4 : if(!fgLUT) fgLUT = new Double_t[AliTRDgeometry::kNlayer*fgkNlut];
1183 :
1184 28 : for (Int_t ilayer = 0; ilayer < AliTRDgeometry::kNlayer; ilayer++) {
1185 3096 : for (Int_t ilut = 0; ilut < fgkNlut; ilut++ ) {
1186 1536 : fgLUT[ilayer*fgkNlut+ilut] = lut[ilayer][ilut];
1187 : }
1188 : }
1189 2 : }
1190 :
|
