]>
Commit | Line | Data |
---|---|---|
c0a16418 | 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 | /// \class AliMUONClusterSplitterMLEM | |
19 | /// | |
20 | /// Splitter class for the MLEM algorithm... | |
21 | /// | |
22 | /// FIXME: describe it a little bit more here... | |
23 | /// | |
24 | /// \author Laurent Aphecetche (for the "new" C++ structure) and | |
25 | /// Alexander Zinchenko, JINR Dubna, for the hardcore of it ;-) | |
26 | ||
27 | #include "AliMUONClusterSplitterMLEM.h" | |
28 | ||
c0a16418 | 29 | #include "AliMUONCluster.h" |
30 | #include "AliMUONPad.h" | |
31 | #include "AliMUONPad.h" | |
32 | #include "AliMpStationType.h" | |
33 | #include "AliMUONConstants.h" | |
34 | #include "AliMpDEManager.h" | |
35 | #include "AliMUONMathieson.h" | |
36 | ||
866c3232 | 37 | #include "AliLog.h" |
38 | ||
39 | #include <TClonesArray.h> | |
40 | #include <TH2.h> | |
41 | #include <TMath.h> | |
42 | #include <TMatrixD.h> | |
43 | #include <TObjArray.h> | |
44 | #include <TROOT.h> | |
45 | #include <TRandom.h> | |
46 | ||
78649106 | 47 | /// \cond CLASSIMP |
c0a16418 | 48 | ClassImp(AliMUONClusterSplitterMLEM) |
78649106 | 49 | /// \endcond |
c0a16418 | 50 | |
51 | const Double_t AliMUONClusterSplitterMLEM::fgkCouplMin = 1.e-3; // threshold on coupling | |
52 | ||
53 | //_____________________________________________________________________________ | |
54 | AliMUONClusterSplitterMLEM::AliMUONClusterSplitterMLEM(Int_t detElemId, | |
55 | TObjArray* fPixArray) | |
56 | : TObject(), | |
57 | fPixArray(fPixArray), | |
58 | fMathieson(0x0), | |
59 | fDetElemId(detElemId), | |
60 | fNpar(0), | |
61 | fQtot(0), | |
62 | fnCoupled(0) | |
63 | { | |
64 | /// Constructor | |
65 | ||
866c3232 | 66 | AliMp::StationType stationType = AliMpDEManager::GetStationType(fDetElemId); |
c0a16418 | 67 | |
68 | Float_t kx3 = AliMUONConstants::SqrtKx3(); | |
69 | Float_t ky3 = AliMUONConstants::SqrtKy3(); | |
70 | Float_t pitch = AliMUONConstants::Pitch(); | |
71 | ||
866c3232 | 72 | if ( stationType == AliMp::kStation1 ) |
c0a16418 | 73 | { |
74 | kx3 = AliMUONConstants::SqrtKx3St1(); | |
75 | ky3 = AliMUONConstants::SqrtKy3St1(); | |
76 | pitch = AliMUONConstants::PitchSt1(); | |
77 | } | |
78 | ||
79 | fMathieson = new AliMUONMathieson; | |
80 | ||
81 | fMathieson->SetPitch(pitch); | |
82 | fMathieson->SetSqrtKx3AndDeriveKx2Kx4(kx3); | |
83 | fMathieson->SetSqrtKy3AndDeriveKy2Ky4(ky3); | |
84 | ||
85 | } | |
86 | ||
87 | //_____________________________________________________________________________ | |
88 | AliMUONClusterSplitterMLEM::~AliMUONClusterSplitterMLEM() | |
89 | { | |
90 | delete fMathieson; | |
91 | } | |
92 | ||
93 | //_____________________________________________________________________________ | |
94 | void | |
95 | AliMUONClusterSplitterMLEM::AddBin(TH2 *mlem, | |
96 | Int_t ic, Int_t jc, Int_t mode, | |
97 | Bool_t *used, TObjArray *pix) | |
98 | { | |
99 | /// Add a bin to the cluster | |
100 | ||
101 | Int_t nx = mlem->GetNbinsX(); | |
102 | Int_t ny = mlem->GetNbinsY(); | |
103 | Double_t cont1, cont = mlem->GetCellContent(jc,ic); | |
104 | AliMUONPad *pixPtr = 0; | |
105 | ||
106 | for (Int_t i=TMath::Max(ic-1,1); i<=TMath::Min(ic+1,ny); i++) { | |
107 | for (Int_t j=TMath::Max(jc-1,1); j<=TMath::Min(jc+1,nx); j++) { | |
108 | if (i != ic && j != jc) continue; | |
109 | if (used[(i-1)*nx+j-1]) continue; | |
110 | cont1 = mlem->GetCellContent(j,i); | |
111 | if (mode && cont1 > cont) continue; | |
112 | used[(i-1)*nx+j-1] = kTRUE; | |
113 | if (cont1 < 0.5) continue; | |
114 | if (pix) pix->Add(BinToPix(mlem,j,i)); | |
115 | else { | |
116 | pixPtr = new AliMUONPad (mlem->GetXaxis()->GetBinCenter(j), | |
117 | mlem->GetYaxis()->GetBinCenter(i), 0, 0, cont1); | |
118 | fPixArray->Add((TObject*)pixPtr); | |
119 | } | |
120 | AddBin(mlem, i, j, mode, used, pix); // recursive call | |
121 | } | |
122 | } | |
123 | } | |
124 | ||
125 | //_____________________________________________________________________________ | |
126 | void | |
127 | AliMUONClusterSplitterMLEM::AddCluster(Int_t ic, Int_t nclust, | |
128 | TMatrixD& aijcluclu, | |
129 | Bool_t *used, Int_t *clustNumb, Int_t &nCoupled) | |
130 | { | |
131 | /// Add a cluster to the group of coupled clusters | |
132 | ||
133 | for (Int_t i=0; i<nclust; i++) { | |
134 | if (used[i]) continue; | |
135 | if (aijcluclu(i,ic) < fgkCouplMin) continue; | |
136 | used[i] = kTRUE; | |
137 | clustNumb[nCoupled++] = i; | |
138 | AddCluster(i, nclust, aijcluclu, used, clustNumb, nCoupled); | |
139 | } | |
140 | } | |
141 | ||
142 | //_____________________________________________________________________________ | |
143 | TObject* | |
144 | AliMUONClusterSplitterMLEM::BinToPix(TH2 *mlem, | |
145 | Int_t jc, Int_t ic) | |
146 | { | |
147 | /// Translate histogram bin to pixel | |
148 | ||
149 | Double_t yc = mlem->GetYaxis()->GetBinCenter(ic); | |
150 | Double_t xc = mlem->GetXaxis()->GetBinCenter(jc); | |
151 | ||
152 | Int_t nPix = fPixArray->GetEntriesFast(); | |
153 | AliMUONPad *pixPtr = NULL; | |
154 | ||
155 | // Compare pixel and bin positions | |
156 | for (Int_t i=0; i<nPix; i++) { | |
157 | pixPtr = (AliMUONPad*) fPixArray->UncheckedAt(i); | |
158 | if (pixPtr->Charge() < 0.5) continue; | |
159 | if (TMath::Abs(pixPtr->Coord(0)-xc)<1.e-4 && TMath::Abs(pixPtr->Coord(1)-yc)<1.e-4) | |
160 | { | |
161 | return (TObject*) pixPtr; | |
162 | } | |
163 | } | |
164 | AliError(Form(" Something wrong ??? %f %f ", xc, yc)); | |
165 | return NULL; | |
166 | } | |
167 | ||
168 | //_____________________________________________________________________________ | |
169 | Float_t | |
170 | AliMUONClusterSplitterMLEM::ChargeIntegration(Double_t x, Double_t y, | |
171 | const AliMUONPad& pad) | |
172 | { | |
173 | /// Compute the Mathieson integral on pad area, assuming the center | |
174 | /// of the Mathieson is at (x,y) | |
175 | ||
176 | TVector2 lowerLeft(TVector2(x,y)-pad.Position()-pad.Dimensions()); | |
177 | TVector2 upperRight(lowerLeft + pad.Dimensions()*2.0); | |
178 | ||
179 | return fMathieson->IntXY(lowerLeft.X(),lowerLeft.Y(), | |
180 | upperRight.X(),upperRight.Y()); | |
181 | } | |
182 | ||
183 | //_____________________________________________________________________________ | |
184 | void | |
185 | AliMUONClusterSplitterMLEM::Fcn1(const AliMUONCluster& cluster, | |
186 | Int_t & /*fNpar*/, Double_t * /*gin*/, | |
187 | Double_t &f, Double_t *par, Int_t /*iflag*/) | |
188 | { | |
189 | /// Fit for one track | |
190 | ||
191 | Int_t indx, npads=0; | |
192 | Double_t charge, delta, coef=0, chi2=0, qTot = 0; | |
193 | ||
194 | for (Int_t j=0; j< cluster.Multiplicity(); ++j) | |
195 | { | |
196 | AliMUONPad* pad = cluster.Pad(j); | |
197 | if ( pad->Status() != 1 ) continue; | |
198 | if ( pad->DX() > 0 ) npads++; // exclude virtual pads | |
199 | qTot += pad->Charge(); // c.fXyq[2][j]; | |
200 | charge = 0; | |
201 | for (Int_t i=fNpar/3; i>=0; --i) | |
202 | { // sum over tracks | |
203 | indx = i<2 ? 2*i : 2*i+1; | |
204 | if (fNpar == 2) | |
205 | { | |
206 | coef = 1; | |
207 | } | |
208 | else | |
209 | { | |
210 | coef = i==fNpar/3 ? par[indx+2] : 1-coef; | |
211 | } | |
212 | coef = TMath::Max (coef, 0.); | |
213 | if ( fNpar == 8 && i < 2) | |
214 | { | |
215 | coef = i==1 ? coef*par[indx+2] : coef - par[7]; | |
216 | } | |
217 | coef = TMath::Max (coef, 0.); | |
218 | charge += ChargeIntegration(par[indx],par[indx+1],*pad); | |
219 | } | |
220 | charge *= fQtot; | |
221 | delta = charge - pad->Charge(); //c.fXyq[2][j]; | |
222 | delta *= delta; | |
223 | delta /= pad->Charge(); //c.fXyq[2][j]; | |
224 | chi2 += delta; | |
225 | } // for (Int_t j=0; | |
226 | f = chi2; | |
227 | Double_t qAver = qTot/npads; | |
228 | f = chi2/qAver; | |
229 | } | |
230 | ||
231 | //_____________________________________________________________________________ | |
232 | Int_t | |
233 | AliMUONClusterSplitterMLEM::Fit(const AliMUONCluster& cluster, | |
234 | Int_t iSimple, Int_t nfit, | |
235 | Int_t *clustFit, TObjArray **clusters, | |
236 | Double_t *parOk, | |
237 | TObjArray& clusterList) | |
238 | { | |
239 | /// Find selected clusters to selected pad charges | |
240 | ||
241 | // AliDebug(2,Form("iSimple=%d nfit=%d",iSimple,nfit)); | |
242 | ||
243 | TH2D *mlem = (TH2D*) gROOT->FindObject("mlem"); | |
244 | Double_t xmin = mlem->GetXaxis()->GetXmin() - mlem->GetXaxis()->GetBinWidth(1); | |
245 | Double_t xmax = mlem->GetXaxis()->GetXmax() + mlem->GetXaxis()->GetBinWidth(1); | |
246 | Double_t ymin = mlem->GetYaxis()->GetXmin() - mlem->GetYaxis()->GetBinWidth(1); | |
247 | Double_t ymax = mlem->GetYaxis()->GetXmax() + mlem->GetYaxis()->GetBinWidth(1); | |
248 | Double_t step[3]={0.01,0.002,0.02}, xPad = 0, yPad = 99999; | |
249 | ||
250 | // Number of pads to use and number of virtual pads | |
251 | Int_t npads = 0, nVirtual = 0, nfit0 = nfit; | |
252 | for (Int_t i=0; i<cluster.Multiplicity(); ++i ) | |
253 | { | |
254 | AliMUONPad* pad = cluster.Pad(i); | |
255 | if ( pad->DX() < 0 ) ++nVirtual; | |
256 | if ( pad->Status() !=1 ) continue; | |
257 | if ( pad->DX() > 0 ) | |
258 | { | |
259 | ++npads; | |
260 | if (yPad > 9999) | |
261 | { | |
262 | xPad = pad->X();//fXyq[0][i]; | |
263 | yPad = pad->Y();//fXyq[1][i]; | |
264 | } | |
265 | else | |
266 | { | |
267 | if (pad->DY() < pad->DX() ) //fXyq[4][i] < fXyq[3][i]) | |
268 | { | |
269 | yPad = pad->Y();//fXyq[1][i]; | |
270 | } | |
271 | else | |
272 | { | |
273 | xPad = pad->X();//fXyq[0][i]; | |
274 | } | |
275 | } | |
276 | } | |
277 | } | |
278 | ||
279 | fNpar = 0; | |
280 | fQtot = 0; | |
281 | ||
282 | if (npads < 2) return 0; | |
283 | ||
284 | // FIXME : AliWarning("Reconnect the following code for hit/track passing ?"); | |
285 | ||
286 | // Int_t tracks[3] = {-1, -1, -1}; | |
287 | ||
288 | /* | |
289 | Int_t digit = 0; | |
290 | AliMUONDigit *mdig = 0; | |
291 | for (Int_t cath=0; cath<2; cath++) { | |
292 | for (Int_t i=0; i<fnPads[0]+fnPads[1]; i++) { | |
293 | if (fPadIJ[0][i] != cath) continue; | |
294 | if (fPadIJ[1][i] != 1) continue; | |
295 | if (fXyq[3][i] < 0) continue; // exclude virtual pads | |
296 | digit = TMath::Nint (fXyq[5][i]); | |
297 | if (digit >= 0) mdig = fInput->Digit(cath,digit); | |
298 | else mdig = fInput->Digit(TMath::Even(cath),-digit-1); | |
299 | //if (!mdig) mdig = fInput->Digit(TMath::Even(cath),digit); | |
300 | if (!mdig) continue; // protection for cluster display | |
301 | if (mdig->Hit() >= 0) { | |
302 | if (tracks[0] < 0) { | |
303 | tracks[0] = mdig->Hit(); | |
304 | tracks[1] = mdig->Track(0); | |
305 | } else if (mdig->Track(0) < tracks[1]) { | |
306 | tracks[0] = mdig->Hit(); | |
307 | tracks[1] = mdig->Track(0); | |
308 | } | |
309 | } | |
310 | if (mdig->Track(1) >= 0 && mdig->Track(1) != tracks[1]) { | |
311 | if (tracks[2] < 0) tracks[2] = mdig->Track(1); | |
312 | else tracks[2] = TMath::Min (tracks[2], mdig->Track(1)); | |
313 | } | |
314 | } // for (Int_t i=0; | |
315 | } // for (Int_t cath=0; | |
316 | */ | |
317 | ||
318 | // Get number of pads in X and Y | |
319 | // Int_t nInX = 0, nInY; | |
320 | // PadsInXandY(cluster,nInX, nInY); | |
321 | const Int_t kStatusToTest(1); | |
322 | ||
323 | AliMpIntPair nofPads = cluster.NofPads(kStatusToTest); | |
324 | Int_t nInX = nofPads.GetFirst(); | |
325 | Int_t nInY = nofPads.GetSecond(); | |
326 | //cout << " nInX and Y: " << nInX << " " << nInY << endl; | |
327 | ||
328 | Int_t nfitMax = 3; | |
329 | nfitMax = TMath::Min (nfitMax, (npads + 1) / 3); | |
330 | if (nfitMax > 1) { | |
331 | if (nInX < 3 && nInY < 3 || nInX == 3 && nInY < 3 || nInX < 3 && nInY == 3) nfitMax = 1; // not enough pads in each direction | |
332 | } | |
333 | if (nfit > nfitMax) nfit = nfitMax; | |
334 | ||
335 | // Take cluster maxima as fitting seeds | |
336 | TObjArray *pix; | |
337 | AliMUONPad *pixPtr; | |
338 | Int_t npxclu; | |
339 | Double_t cont, cmax = 0, xseed = 0, yseed = 0, errOk[8], qq = 0; | |
340 | Double_t xyseed[3][2], qseed[3], xyCand[3][2] = {{0},{0}}, sigCand[3][2] = {{0},{0}}; | |
341 | ||
342 | for (Int_t ifit=1; ifit<=nfit0; ifit++) | |
343 | { | |
344 | cmax = 0; | |
345 | pix = clusters[clustFit[ifit-1]]; | |
346 | npxclu = pix->GetEntriesFast(); | |
347 | //qq = 0; | |
348 | for (Int_t clu=0; clu<npxclu; ++clu) | |
349 | { | |
350 | pixPtr = (AliMUONPad*) pix->UncheckedAt(clu); | |
351 | cont = pixPtr->Charge(); | |
352 | fQtot += cont; | |
353 | if (cont > cmax) | |
354 | { | |
355 | cmax = cont; | |
356 | xseed = pixPtr->Coord(0); | |
357 | yseed = pixPtr->Coord(1); | |
358 | } | |
359 | qq += cont; | |
360 | xyCand[0][0] += pixPtr->Coord(0) * cont; | |
361 | xyCand[0][1] += pixPtr->Coord(1) * cont; | |
362 | sigCand[0][0] += pixPtr->Coord(0) * pixPtr->Coord(0) * cont; | |
363 | sigCand[0][1] += pixPtr->Coord(1) * pixPtr->Coord(1) * cont; | |
364 | } | |
365 | xyseed[ifit-1][0] = xseed; | |
366 | xyseed[ifit-1][1] = yseed; | |
367 | qseed[ifit-1] = cmax; | |
368 | } // for (Int_t ifit=1; | |
369 | ||
370 | xyCand[0][0] /= qq; // <x> | |
371 | xyCand[0][1] /= qq; // <y> | |
372 | sigCand[0][0] = sigCand[0][0]/qq - xyCand[0][0]*xyCand[0][0]; // <x^2> - <x>^2 | |
373 | sigCand[0][0] = sigCand[0][0] > 0 ? TMath::Sqrt (sigCand[0][0]) : 0; | |
374 | sigCand[0][1] = sigCand[0][1]/qq - xyCand[0][1]*xyCand[0][1]; // <y^2> - <y>^2 | |
375 | sigCand[0][1] = sigCand[0][1] > 0 ? TMath::Sqrt (sigCand[0][1]) : 0; | |
376 | // if (fDebug) cout << xyCand[0][0] << " " << xyCand[0][1] << " " << sigCand[0][0] << " " << sigCand[0][1] << endl; | |
377 | ||
378 | Int_t nDof, maxSeed[3];//, nMax = 0; | |
379 | Double_t fmin, chi2o = 9999, chi2n; | |
380 | ||
381 | TMath::Sort(nfit0, qseed, maxSeed, kTRUE); // in decreasing order | |
382 | ||
383 | Double_t *gin = 0, func0, func1, param[8], step0[8]; | |
384 | Double_t param0[2][8]={{0},{0}}, deriv[2][8]={{0},{0}}; | |
385 | Double_t shift[8], stepMax, derMax, parmin[8], parmax[8], func2[2], shift0; | |
386 | Double_t delta[8], scMax, dder[8], estim, shiftSave = 0; | |
387 | Int_t min, max, nCall = 0, memory[8] = {0}, nLoop, idMax = 0, iestMax = 0, nFail; | |
388 | Double_t rad, dist[3] = {0}; | |
389 | ||
390 | // Try to fit with one-track hypothesis, then 2-track. If chi2/dof is | |
391 | // lower, try 3-track (if number of pads is sufficient). | |
392 | for (Int_t iseed=0; iseed<nfit; iseed++) | |
393 | { | |
394 | ||
395 | if (iseed) | |
396 | { | |
397 | for (Int_t j=0; j<fNpar; j++) | |
398 | { | |
399 | param[j] = parOk[j]; | |
400 | } | |
401 | } // for bounded params | |
402 | ||
403 | for (Int_t j=0; j<3; j++) | |
404 | { | |
405 | step0[fNpar+j] = shift[fNpar+j] = step[j]; | |
406 | } | |
407 | ||
408 | if (nfit == 1) | |
409 | { | |
410 | param[fNpar] = xyCand[0][0]; // take COG | |
411 | } | |
412 | else | |
413 | { | |
414 | param[fNpar] = xyseed[maxSeed[iseed]][0]; | |
415 | } | |
416 | parmin[fNpar] = xmin; | |
417 | parmax[fNpar++] = xmax; | |
418 | if (nfit == 1) | |
419 | { | |
420 | param[fNpar] = xyCand[0][1]; // take COG | |
421 | } | |
422 | else | |
423 | { | |
424 | param[fNpar] = xyseed[maxSeed[iseed]][1]; | |
425 | } | |
426 | parmin[fNpar] = ymin; | |
427 | parmax[fNpar++] = ymax; | |
428 | if (fNpar > 2) | |
429 | { | |
430 | param[fNpar] = fNpar == 4 ? 0.5 : 0.3; | |
431 | parmin[fNpar] = 0; | |
432 | parmax[fNpar++] = 1; | |
433 | } | |
434 | if (iseed) | |
435 | { | |
436 | for (Int_t j=0; j<fNpar; j++) | |
437 | { | |
438 | param0[1][j] = 0; | |
439 | } | |
440 | } | |
441 | ||
442 | // Try new algorithm | |
443 | min = nLoop = 1; stepMax = func2[1] = derMax = 999999; nFail = 0; | |
444 | ||
445 | while (1) | |
446 | { | |
447 | max = !min; | |
448 | Fcn1(cluster,fNpar, gin, func0, param, 1); nCall++; | |
449 | //cout << " Func: " << func0 << endl; | |
450 | ||
451 | func2[max] = func0; | |
452 | for (Int_t j=0; j<fNpar; j++) | |
453 | { | |
454 | param0[max][j] = param[j]; | |
455 | delta[j] = step0[j]; | |
456 | param[j] += delta[j] / 10; | |
457 | if (j > 0) param[j-1] -= delta[j-1] / 10; | |
458 | Fcn1(cluster,fNpar, gin, func1, param, 1); nCall++; | |
459 | deriv[max][j] = (func1 - func0) / delta[j] * 10; // first derivative | |
460 | //cout << j << " " << deriv[max][j] << endl; | |
461 | dder[j] = param0[0][j] != param0[1][j] ? (deriv[0][j] - deriv[1][j]) / | |
462 | (param0[0][j] - param0[1][j]) : 0; // second derivative | |
463 | } | |
464 | param[fNpar-1] -= delta[fNpar-1] / 10; | |
465 | if (nCall > 2000) break; | |
466 | ||
467 | min = func2[0] < func2[1] ? 0 : 1; | |
468 | nFail = min == max ? 0 : nFail + 1; | |
469 | ||
470 | stepMax = derMax = estim = 0; | |
471 | for (Int_t j=0; j<fNpar; j++) | |
472 | { | |
473 | // Estimated distance to minimum | |
474 | shift0 = shift[j]; | |
475 | if (nLoop == 1) | |
476 | { | |
477 | shift[j] = TMath::Sign (step0[j], -deriv[max][j]); // first step | |
478 | } | |
479 | else if (TMath::Abs(deriv[0][j]) < 1.e-3 && TMath::Abs(deriv[1][j]) < 1.e-3) | |
480 | { | |
481 | shift[j] = 0; | |
482 | } | |
483 | else if (deriv[min][j]*deriv[!min][j] > 0 && TMath::Abs(deriv[min][j]) > TMath::Abs(deriv[!min][j]) | |
484 | || TMath::Abs(deriv[0][j]-deriv[1][j]) < 1.e-3 || TMath::Abs(dder[j]) < 1.e-6) | |
485 | { | |
486 | shift[j] = -TMath::Sign (shift[j], (func2[0]-func2[1]) * (param0[0][j]-param0[1][j])); | |
487 | } | |
488 | if (min == max) | |
489 | { | |
490 | if (memory[j] > 1) | |
491 | { | |
492 | shift[j] *= 2; | |
493 | } | |
494 | memory[j]++; | |
495 | } | |
496 | else | |
497 | { | |
498 | shift[j] = dder[j] != 0 ? -deriv[min][j] / dder[j] : 0; | |
499 | memory[j] = 0; | |
500 | } | |
501 | ||
502 | if (TMath::Abs(shift[j])/step0[j] > estim) | |
503 | { | |
504 | estim = TMath::Abs(shift[j])/step0[j]; | |
505 | iestMax = j; | |
506 | } | |
507 | ||
508 | // Too big step | |
509 | if (TMath::Abs(shift[j])/step0[j] > 10) shift[j] = TMath::Sign(10.,shift[j]) * step0[j]; // | |
510 | ||
511 | // Failed to improve minimum | |
512 | if (min != max) | |
513 | { | |
514 | memory[j] = 0; | |
515 | param[j] = param0[min][j]; | |
516 | if (TMath::Abs(shift[j]+shift0) > 0.1*step0[j]) | |
517 | { | |
518 | shift[j] = (shift[j] + shift0) / 2; | |
519 | } | |
520 | else | |
521 | { | |
522 | shift[j] /= -2; | |
523 | } | |
524 | } | |
525 | ||
526 | // Too big step | |
527 | if (TMath::Abs(shift[j]*deriv[min][j]) > func2[min]) | |
528 | { | |
529 | shift[j] = TMath::Sign (func2[min]/deriv[min][j], shift[j]); | |
530 | } | |
531 | ||
532 | // Introduce step relaxation factor | |
533 | if (memory[j] < 3) | |
534 | { | |
535 | scMax = 1 + 4 / TMath::Max(nLoop/2.,1.); | |
536 | if (TMath::Abs(shift0) > 0 && TMath::Abs(shift[j]/shift0) > scMax) | |
537 | { | |
538 | shift[j] = TMath::Sign (shift0*scMax, shift[j]); | |
539 | } | |
540 | } | |
541 | param[j] += shift[j]; | |
542 | //MLEM Check parameter limits 27-12-2004 | |
543 | if (param[j] < parmin[j]) | |
544 | { | |
545 | shift[j] = parmin[j] - param[j]; | |
546 | param[j] = parmin[j]; | |
547 | } | |
548 | else if (param[j] > parmax[j]) | |
549 | { | |
550 | shift[j] = parmax[j] - param[j]; | |
551 | param[j] = parmax[j]; | |
552 | } | |
553 | //cout << " xxx " << j << " " << shift[j] << " " << param[j] << endl; | |
554 | stepMax = TMath::Max (stepMax, TMath::Abs(shift[j]/step0[j])); | |
555 | if (TMath::Abs(deriv[min][j]) > derMax) | |
556 | { | |
557 | idMax = j; | |
558 | derMax = TMath::Abs (deriv[min][j]); | |
559 | } | |
560 | } // for (Int_t j=0; j<fNpar; | |
561 | ||
562 | if (estim < 1 && derMax < 2 || nLoop > 150) break; // minimum was found | |
563 | ||
564 | nLoop++; | |
565 | ||
566 | // Check for small step | |
567 | if (shift[idMax] == 0) | |
568 | { | |
569 | shift[idMax] = step0[idMax]/10; | |
570 | param[idMax] += shift[idMax]; | |
571 | continue; | |
572 | } | |
573 | ||
574 | if (!memory[idMax] && derMax > 0.5 && nLoop > 10) | |
575 | { | |
576 | if (dder[idMax] != 0 && TMath::Abs(deriv[min][idMax]/dder[idMax]/shift[idMax]) > 10) | |
577 | { | |
578 | if (min == max) dder[idMax] = -dder[idMax]; | |
579 | shift[idMax] = -deriv[min][idMax] / dder[idMax] / 10; | |
580 | param[idMax] += shift[idMax]; | |
581 | stepMax = TMath::Max (stepMax, TMath::Abs(shift[idMax])/step0[idMax]); | |
582 | if (min == max) shiftSave = shift[idMax]; | |
583 | } | |
584 | if (nFail > 10) | |
585 | { | |
586 | param[idMax] -= shift[idMax]; | |
587 | shift[idMax] = 4 * shiftSave * (gRandom->Rndm(0) - 0.5); | |
588 | param[idMax] += shift[idMax]; | |
589 | } | |
590 | } | |
591 | } // while (1) | |
592 | ||
593 | fmin = func2[min]; | |
594 | ||
595 | nDof = npads - fNpar + nVirtual; | |
596 | if (!nDof) nDof++; | |
597 | chi2n = fmin / nDof; | |
598 | // if (fDebug) cout << " Chi2 " << chi2n << " " << fNpar << endl; | |
599 | ||
600 | if (chi2n*1.2+1.e-6 > chi2o ) { fNpar -= 3; break; } | |
601 | ||
602 | // Save parameters and errors | |
603 | ||
604 | if (nInX == 1) { | |
605 | // One pad per direction | |
606 | for (Int_t i=0; i<fNpar; i++) if (i == 0 || i == 2 || i == 5) param0[min][i] = xPad; | |
607 | } | |
608 | if (nInY == 1) { | |
609 | // One pad per direction | |
610 | for (Int_t i=0; i<fNpar; i++) if (i == 1 || i == 3 || i == 6) param0[min][i] = yPad; | |
611 | } | |
612 | ||
613 | /* | |
614 | if (iseed > 0) { | |
615 | // Find distance to the nearest neighbour | |
616 | dist[0] = dist[1] = TMath::Sqrt ((param0[min][0]-param0[min][2])* | |
617 | (param0[min][0]-param0[min][2]) | |
618 | +(param0[min][1]-param0[min][3])* | |
619 | (param0[min][1]-param0[min][3])); | |
620 | if (iseed > 1) { | |
621 | dist[2] = TMath::Sqrt ((param0[min][0]-param0[min][5])* | |
622 | (param0[min][0]-param0[min][5]) | |
623 | +(param0[min][1]-param0[min][6])* | |
624 | (param0[min][1]-param0[min][6])); | |
625 | rad = TMath::Sqrt ((param0[min][2]-param0[min][5])* | |
626 | (param0[min][2]-param0[min][5]) | |
627 | +(param0[min][3]-param0[min][6])* | |
628 | (param0[min][3]-param0[min][6])); | |
629 | if (dist[2] < dist[0]) dist[0] = dist[2]; | |
630 | if (rad < dist[1]) dist[1] = rad; | |
631 | if (rad < dist[2]) dist[2] = rad; | |
632 | } | |
633 | cout << dist[0] << " " << dist[1] << " " << dist[2] << endl; | |
634 | if (dist[TMath::LocMin(iseed+1,dist)] < 1.) { fNpar -= 3; break; } | |
635 | } | |
636 | */ | |
637 | ||
638 | for (Int_t i=0; i<fNpar; i++) { | |
639 | parOk[i] = param0[min][i]; | |
640 | //errOk[i] = fmin; | |
641 | errOk[i] = chi2n; | |
642 | // Bounded params | |
643 | parOk[i] = TMath::Max (parOk[i], parmin[i]); | |
644 | parOk[i] = TMath::Min (parOk[i], parmax[i]); | |
645 | } | |
646 | ||
647 | chi2o = chi2n; | |
648 | if (fmin < 0.1) break; // !!!??? | |
649 | } // for (Int_t iseed=0; | |
650 | ||
651 | // if (fDebug) { | |
652 | // for (Int_t i=0; i<fNpar; i++) { | |
653 | // if (i == 4 || i == 7) { | |
654 | // if (i == 7 || i == 4 && fNpar < 7) cout << parOk[i] << endl; | |
655 | // else cout << parOk[i] * (1-parOk[7]) << endl; | |
656 | // continue; | |
657 | // } | |
658 | // cout << parOk[i] << " " << errOk[i] << endl; | |
659 | // } | |
660 | // } | |
661 | nfit = (fNpar + 1) / 3; | |
662 | dist[0] = dist[1] = dist[2] = 0; | |
663 | ||
664 | if (nfit > 1) { | |
665 | // Find distance to the nearest neighbour | |
666 | dist[0] = dist[1] = TMath::Sqrt ((parOk[0]-parOk[2])* | |
667 | (parOk[0]-parOk[2]) | |
668 | +(parOk[1]-parOk[3])* | |
669 | (parOk[1]-parOk[3])); | |
670 | if (nfit > 2) { | |
671 | dist[2] = TMath::Sqrt ((parOk[0]-parOk[5])* | |
672 | (parOk[0]-parOk[5]) | |
673 | +(parOk[1]-parOk[6])* | |
674 | (parOk[1]-parOk[6])); | |
675 | rad = TMath::Sqrt ((parOk[2]-parOk[5])* | |
676 | (parOk[2]-parOk[5]) | |
677 | +(parOk[3]-parOk[6])* | |
678 | (parOk[3]-parOk[6])); | |
679 | if (dist[2] < dist[0]) dist[0] = dist[2]; | |
680 | if (rad < dist[1]) dist[1] = rad; | |
681 | if (rad < dist[2]) dist[2] = rad; | |
682 | } | |
683 | } | |
684 | ||
685 | Int_t indx; | |
686 | ||
687 | //if (!fDraw) { | |
688 | ||
689 | Double_t coef = 0; | |
690 | if (iSimple) fnCoupled = 0; | |
691 | //for (Int_t j=0; j<nfit; j++) { | |
692 | for (Int_t j=nfit-1; j>=0; j--) { | |
693 | indx = j<2 ? j*2 : j*2+1; | |
694 | if (nfit == 1) coef = 1; | |
695 | else coef = j==nfit-1 ? parOk[indx+2] : 1-coef; | |
696 | coef = TMath::Max (coef, 0.); | |
697 | if (nfit == 3 && j < 2) coef = j==1 ? coef*parOk[indx+2] : coef - parOk[7]; | |
698 | coef = TMath::Max (coef, 0.); | |
699 | ||
700 | //void AliMUONClusterFinderMLEM::AddRawCluster(Double_t x, Double_t y, | |
701 | // Double_t qTot, Double_t fmin, | |
702 | // Int_t nfit, Int_t *tracks, | |
703 | // Double_t /*sigx*/, | |
704 | // Double_t /*sigy*/, | |
705 | // Double_t /*dist*/) | |
706 | ||
707 | if ( coef*fQtot >= 14 ) | |
708 | { | |
709 | AliMUONCluster* cluster = new AliMUONCluster(); | |
710 | ||
711 | cluster->SetCharge(coef*fQtot,coef*fQtot); | |
712 | cluster->SetPosition(TVector2(parOk[indx],parOk[indx+1]),TVector2(sigCand[0][0],sigCand[0][1])); | |
713 | cluster->SetChi2(dist[TMath::LocMin(nfit,dist)]); | |
714 | ||
715 | // FIXME: we miss some information in this cluster, as compared to | |
716 | // the original AddRawCluster code. | |
717 | ||
718 | AliDebug(2,Form("Adding RawCluster detElemId %4d mult %2d charge %5d (xl,yl)=(%9.6g,%9.6g)", | |
719 | fDetElemId,cluster->Multiplicity(),(Int_t)cluster->Charge(), | |
720 | cluster->Position().X(),cluster->Position().Y())); | |
721 | ||
722 | clusterList.Add(cluster); | |
723 | } | |
724 | // AddRawCluster (parOk[indx], // double x | |
725 | // parOk[indx+1], // double y | |
726 | // coef*qTot, // double charge | |
727 | // errOk[indx], // double fmin | |
728 | // nfit0+10*nfit+100*nMax+10000*fnCoupled, // int nfit | |
729 | // tracks, // int* tracks | |
730 | // sigCand[0][0], // double sigx | |
731 | // sigCand[0][1], // double sigy | |
732 | // dist[TMath::LocMin(nfit,dist)] // double dist | |
733 | // ); | |
734 | } | |
735 | return nfit; | |
736 | } | |
737 | ||
738 | ||
739 | //_____________________________________________________________________________ | |
740 | void | |
741 | AliMUONClusterSplitterMLEM::Split(const AliMUONCluster& cluster, | |
742 | TH2 *mlem, | |
743 | Double_t *coef, | |
744 | TObjArray& clusterList) | |
745 | { | |
746 | /// The main steering function to work with clusters of pixels in anode | |
747 | /// plane (find clusters, decouple them from each other, merge them (if | |
748 | /// necessary), pick up coupled pads, call the fitting function) | |
749 | ||
750 | Int_t nx = mlem->GetNbinsX(); | |
751 | Int_t ny = mlem->GetNbinsY(); | |
752 | Int_t nPix = fPixArray->GetEntriesFast(); | |
753 | ||
754 | Bool_t *used = new Bool_t[ny*nx]; | |
755 | Double_t cont; | |
756 | Int_t nclust = 0, indx, indx1; | |
757 | ||
758 | for (Int_t i=0; i<ny*nx; i++) used[i] = kFALSE; | |
759 | ||
760 | TObjArray *clusters[200]={0}; | |
761 | TObjArray *pix; | |
762 | ||
763 | // Find clusters of histogram bins (easier to work in 2-D space) | |
764 | for (Int_t i=1; i<=ny; i++) | |
765 | { | |
766 | for (Int_t j=1; j<=nx; j++) | |
767 | { | |
768 | indx = (i-1)*nx + j - 1; | |
769 | if (used[indx]) continue; | |
770 | cont = mlem->GetCellContent(j,i); | |
771 | if (cont < 0.5) continue; | |
772 | pix = new TObjArray(20); | |
773 | used[indx] = 1; | |
774 | pix->Add(BinToPix(mlem,j,i)); | |
775 | AddBin(mlem, i, j, 0, used, pix); // recursive call | |
776 | if (nclust >= 200) AliFatal(" Too many clusters !!!"); | |
777 | clusters[nclust++] = pix; | |
778 | } // for (Int_t j=1; j<=nx; j++) { | |
779 | } // for (Int_t i=1; i<=ny; | |
780 | // if (fDebug) cout << nclust << endl; | |
781 | delete [] used; used = 0; | |
782 | ||
783 | // Compute couplings between clusters and clusters to pads | |
784 | Int_t npad = cluster.Multiplicity(); | |
785 | ||
786 | // Exclude pads with overflows | |
787 | for (Int_t j=0; j<npad; ++j) | |
788 | { | |
789 | AliMUONPad* pad = cluster.Pad(j); | |
790 | if ( pad->IsSaturated() ) | |
791 | { | |
792 | pad->SetStatus(-5); | |
793 | } | |
794 | else | |
795 | { | |
796 | pad->SetStatus(0); | |
797 | } | |
798 | } | |
799 | ||
800 | // Compute couplings of clusters to pads | |
801 | TMatrixD aijclupad(nclust,npad); | |
802 | aijclupad = 0; | |
803 | Int_t npxclu; | |
804 | for (Int_t iclust=0; iclust<nclust; ++iclust) | |
805 | { | |
806 | pix = clusters[iclust]; | |
807 | npxclu = pix->GetEntriesFast(); | |
808 | for (Int_t i=0; i<npxclu; ++i) | |
809 | { | |
810 | indx = fPixArray->IndexOf(pix->UncheckedAt(i)); | |
811 | for (Int_t j=0; j<npad; ++j) | |
812 | { | |
813 | AliMUONPad* pad = cluster.Pad(j); | |
814 | if ( pad->Status() < 0 && pad->Status() != -5) continue; | |
815 | if (coef[j*nPix+indx] < fgkCouplMin) continue; | |
816 | aijclupad(iclust,j) += coef[j*nPix+indx]; | |
817 | } | |
818 | } | |
819 | } | |
820 | ||
821 | // Compute couplings between clusters | |
822 | TMatrixD aijcluclu(nclust,nclust); | |
823 | aijcluclu = 0; | |
824 | for (Int_t iclust=0; iclust<nclust; ++iclust) | |
825 | { | |
826 | for (Int_t j=0; j<npad; ++j) | |
827 | { | |
828 | // Exclude overflows | |
829 | if ( cluster.Pad(j)->Status() < 0) continue; | |
830 | if (aijclupad(iclust,j) < fgkCouplMin) continue; | |
831 | for (Int_t iclust1=iclust+1; iclust1<nclust; iclust1++) | |
832 | { | |
833 | if (aijclupad(iclust1,j) < fgkCouplMin) continue; | |
834 | aijcluclu(iclust,iclust1) += | |
835 | TMath::Sqrt (aijclupad(iclust,j)*aijclupad(iclust1,j)); | |
836 | } | |
837 | } | |
838 | } | |
839 | for (Int_t iclust=0; iclust<nclust; ++iclust) | |
840 | { | |
841 | for (Int_t iclust1=iclust+1; iclust1<nclust; ++iclust1) | |
842 | { | |
843 | aijcluclu(iclust1,iclust) = aijcluclu(iclust,iclust1); | |
844 | } | |
845 | } | |
846 | ||
847 | // Find groups of coupled clusters | |
848 | used = new Bool_t[nclust]; | |
849 | for (Int_t i=0; i<nclust; i++) used[i] = kFALSE; | |
850 | Int_t *clustNumb = new Int_t[nclust]; | |
851 | Int_t nCoupled, nForFit, minGroup[3], clustFit[3], nfit = 0; | |
852 | Double_t parOk[8]; | |
853 | ||
854 | for (Int_t igroup=0; igroup<nclust; igroup++) | |
855 | { | |
856 | if (used[igroup]) continue; | |
857 | used[igroup] = kTRUE; | |
858 | clustNumb[0] = igroup; | |
859 | nCoupled = 1; | |
860 | // Find group of coupled clusters | |
861 | AddCluster(igroup, nclust, aijcluclu, used, clustNumb, nCoupled); // recursive | |
862 | ||
863 | // if (fDebug) { | |
864 | // cout << " nCoupled: " << nCoupled << endl; | |
865 | // for (Int_t i=0; i<nCoupled; i++) cout << clustNumb[i] << " "; cout << endl; | |
866 | // } | |
867 | ||
868 | fnCoupled = nCoupled; | |
869 | ||
870 | while (nCoupled > 0) | |
871 | { | |
872 | if (nCoupled < 4) | |
873 | { | |
874 | nForFit = nCoupled; | |
875 | for (Int_t i=0; i<nCoupled; i++) clustFit[i] = clustNumb[i]; | |
876 | } | |
877 | else | |
878 | { | |
879 | // Too many coupled clusters to fit - try to decouple them | |
880 | // Find the lowest coupling of 1, 2, min(3,nLinks/2) pixels with | |
881 | // all the others in the group | |
882 | for (Int_t j=0; j<3; j++) minGroup[j] = -1; | |
883 | /*Double_t coupl =*/ MinGroupCoupl(nCoupled, clustNumb, aijcluclu, minGroup); | |
884 | ||
885 | // Flag clusters for fit | |
886 | nForFit = 0; | |
887 | while (minGroup[nForFit] >= 0 && nForFit < 3) | |
888 | { | |
889 | clustFit[nForFit] = clustNumb[minGroup[nForFit]]; | |
890 | clustNumb[minGroup[nForFit]] -= 999; | |
891 | nForFit++; | |
892 | } | |
893 | } // else | |
894 | ||
895 | // Select pads for fit. | |
896 | if (SelectPad(cluster,nCoupled, nForFit, clustNumb, clustFit, aijclupad) < 3 && nCoupled > 1) | |
897 | { | |
898 | // Deselect pads | |
899 | for (Int_t j=0; j<npad; ++j) | |
900 | { | |
901 | AliMUONPad* pad = cluster.Pad(j); | |
902 | if ( pad->Status()==1 ) pad->SetStatus(0); | |
903 | if ( pad->Status()==-9) pad->SetStatus(-5); | |
904 | } | |
905 | // Merge the failed cluster candidates (with too few pads to fit) with | |
906 | // the one with the strongest coupling | |
907 | Merge(cluster,nForFit, nCoupled, clustNumb, clustFit, clusters, aijcluclu, aijclupad); | |
908 | } | |
909 | else | |
910 | { | |
911 | // Do the fit | |
912 | nfit = Fit(cluster,0, nForFit, clustFit, clusters, parOk, clusterList); | |
913 | } | |
914 | ||
915 | // Subtract the fitted charges from pads with strong coupling and/or | |
916 | // return pads for further use | |
917 | UpdatePads(cluster,nfit, parOk); | |
918 | ||
919 | // Mark used pads | |
920 | for (Int_t j=0; j<npad; ++j) | |
921 | { | |
922 | AliMUONPad* pad = cluster.Pad(j); | |
923 | if ( pad->Status()==1 ) pad->SetStatus(-1); | |
924 | if ( pad->Status()==-9) pad->SetStatus(-5); | |
925 | } | |
926 | ||
927 | // Sort the clusters (move to the right the used ones) | |
928 | Int_t beg = 0, end = nCoupled - 1; | |
929 | while (beg < end) | |
930 | { | |
931 | if (clustNumb[beg] >= 0) { ++beg; continue; } | |
932 | for (Int_t j=end; j>beg; --j) | |
933 | { | |
934 | if (clustNumb[j] < 0) continue; | |
935 | end = j - 1; | |
936 | indx = clustNumb[beg]; | |
937 | clustNumb[beg] = clustNumb[j]; | |
938 | clustNumb[j] = indx; | |
939 | break; | |
940 | } | |
941 | ++beg; | |
942 | } | |
943 | ||
944 | nCoupled -= nForFit; | |
945 | if (nCoupled > 3) | |
946 | { | |
947 | // Remove couplings of used clusters | |
948 | for (Int_t iclust=nCoupled; iclust<nCoupled+nForFit;++ iclust) | |
949 | { | |
950 | indx = clustNumb[iclust] + 999; | |
951 | for (Int_t iclust1=0; iclust1<nCoupled; ++iclust1) | |
952 | { | |
953 | indx1 = clustNumb[iclust1]; | |
954 | aijcluclu(indx,indx1) = aijcluclu(indx1,indx) = 0; | |
955 | } | |
956 | } | |
957 | ||
958 | // Update the remaining clusters couplings (exclude couplings from | |
959 | // the used pads) | |
960 | for (Int_t j=0; j<npad; ++j) | |
961 | { | |
962 | AliMUONPad* pad = cluster.Pad(j); | |
963 | if ( pad->Status() != -1) continue; | |
964 | for (Int_t iclust=0; iclust<nCoupled; ++iclust) | |
965 | { | |
966 | indx = clustNumb[iclust]; | |
967 | if (aijclupad(indx,j) < fgkCouplMin) continue; | |
968 | for (Int_t iclust1=iclust+1; iclust1<nCoupled; ++iclust1) | |
969 | { | |
970 | indx1 = clustNumb[iclust1]; | |
971 | if (aijclupad(indx1,j) < fgkCouplMin) continue; | |
972 | // Check this | |
973 | aijcluclu(indx,indx1) -= | |
974 | TMath::Sqrt (aijclupad(indx,j)*aijclupad(indx1,j)); | |
975 | aijcluclu(indx1,indx) = aijcluclu(indx,indx1); | |
976 | } | |
977 | } | |
978 | pad->SetStatus(-8); | |
979 | } // for (Int_t j=0; j<npad; | |
980 | } // if (nCoupled > 3) | |
981 | } // while (nCoupled > 0) | |
982 | } // for (Int_t igroup=0; igroup<nclust; | |
983 | ||
984 | for (Int_t iclust=0; iclust<nclust; iclust++) | |
985 | { | |
986 | pix = clusters[iclust]; | |
987 | pix->Clear(); | |
988 | delete pix; | |
989 | pix = 0; | |
990 | } | |
991 | delete [] clustNumb; | |
992 | clustNumb = 0; | |
993 | delete [] used; | |
994 | used = 0; | |
995 | ||
996 | } | |
997 | ||
998 | //_____________________________________________________________________________ | |
999 | void | |
1000 | AliMUONClusterSplitterMLEM::Merge(const AliMUONCluster& cluster, | |
1001 | Int_t nForFit, Int_t nCoupled, | |
1002 | Int_t *clustNumb, Int_t *clustFit, | |
1003 | TObjArray **clusters, | |
1004 | TMatrixD& aijcluclu, TMatrixD& aijclupad) | |
1005 | { | |
1006 | /// Merge the group of clusters with the one having the strongest coupling with them | |
1007 | ||
1008 | Int_t indx, indx1, npxclu, npxclu1, imax=0; | |
1009 | TObjArray *pix, *pix1; | |
1010 | Double_t couplMax; | |
1011 | ||
1012 | for (Int_t icl=0; icl<nForFit; ++icl) | |
1013 | { | |
1014 | indx = clustFit[icl]; | |
1015 | pix = clusters[indx]; | |
1016 | npxclu = pix->GetEntriesFast(); | |
1017 | couplMax = -1; | |
1018 | for (Int_t icl1=0; icl1<nCoupled; ++icl1) | |
1019 | { | |
1020 | indx1 = clustNumb[icl1]; | |
1021 | if (indx1 < 0) continue; | |
1022 | if ( aijcluclu(indx,indx1) > couplMax) | |
1023 | { | |
1024 | couplMax = aijcluclu(indx,indx1); | |
1025 | imax = indx1; | |
1026 | } | |
1027 | } // for (Int_t icl1=0; | |
1028 | // Add to it | |
1029 | pix1 = clusters[imax]; | |
1030 | npxclu1 = pix1->GetEntriesFast(); | |
1031 | // Add pixels | |
1032 | for (Int_t i=0; i<npxclu; ++i) | |
1033 | { | |
1034 | pix1->Add(pix->UncheckedAt(i)); | |
1035 | pix->RemoveAt(i); | |
1036 | } | |
1037 | ||
1038 | //Add cluster-to-cluster couplings | |
1039 | for (Int_t icl1=0; icl1<nCoupled; ++icl1) | |
1040 | { | |
1041 | indx1 = clustNumb[icl1]; | |
1042 | if (indx1 < 0 || indx1 == imax) continue; | |
1043 | aijcluclu(indx1,imax) += aijcluclu(indx,indx1); | |
1044 | aijcluclu(imax,indx1) = aijcluclu(indx1,imax); | |
1045 | } | |
1046 | aijcluclu(indx,imax) = aijcluclu(imax,indx) = 0; | |
1047 | ||
1048 | //Add cluster-to-pad couplings | |
1049 | for (Int_t j=0; j<cluster.Multiplicity(); ++j) | |
1050 | { | |
1051 | AliMUONPad* pad = cluster.Pad(j); | |
1052 | if ( pad->Status() < 0 && pad->Status() != -5 ) continue;// exclude used pads | |
1053 | aijclupad(imax,j) += aijclupad(indx,j); | |
1054 | aijclupad(indx,j) = 0; | |
1055 | } | |
1056 | } // for (Int_t icl=0; icl<nForFit; | |
1057 | } | |
1058 | ||
1059 | ||
1060 | //_____________________________________________________________________________ | |
1061 | Double_t | |
1062 | AliMUONClusterSplitterMLEM::MinGroupCoupl(Int_t nCoupled, Int_t *clustNumb, | |
1063 | TMatrixD& aijcluclu, Int_t *minGroup) | |
1064 | { | |
1065 | /// Find group of clusters with minimum coupling to all the others | |
1066 | ||
1067 | Int_t i123max = TMath::Min(3,nCoupled/2); | |
1068 | Int_t indx, indx1, indx2, indx3, nTot = 0; | |
1069 | Double_t *coupl1 = 0, *coupl2 = 0, *coupl3 = 0; | |
1070 | ||
1071 | for (Int_t i123=1; i123<=i123max; i123++) { | |
1072 | ||
1073 | if (i123 == 1) { | |
1074 | coupl1 = new Double_t [nCoupled]; | |
1075 | for (Int_t i=0; i<nCoupled; i++) coupl1[i] = 0; | |
1076 | } | |
1077 | else if (i123 == 2) { | |
1078 | nTot = nCoupled*nCoupled; | |
1079 | coupl2 = new Double_t [nTot]; | |
1080 | for (Int_t i=0; i<nTot; i++) coupl2[i] = 9999; | |
1081 | } else { | |
1082 | nTot = nTot*nCoupled; | |
1083 | coupl3 = new Double_t [nTot]; | |
1084 | for (Int_t i=0; i<nTot; i++) coupl3[i] = 9999; | |
1085 | } // else | |
1086 | ||
1087 | for (Int_t i=0; i<nCoupled; i++) { | |
1088 | indx1 = clustNumb[i]; | |
1089 | for (Int_t j=i+1; j<nCoupled; j++) { | |
1090 | indx2 = clustNumb[j]; | |
1091 | if (i123 == 1) { | |
1092 | coupl1[i] += aijcluclu(indx1,indx2); | |
1093 | coupl1[j] += aijcluclu(indx1,indx2); | |
1094 | } | |
1095 | else if (i123 == 2) { | |
1096 | indx = i*nCoupled + j; | |
1097 | coupl2[indx] = coupl1[i] + coupl1[j]; | |
1098 | coupl2[indx] -= 2 * (aijcluclu(indx1,indx2)); | |
1099 | } else { | |
1100 | for (Int_t k=j+1; k<nCoupled; k++) { | |
1101 | indx3 = clustNumb[k]; | |
1102 | indx = i*nCoupled*nCoupled + j*nCoupled + k; | |
1103 | coupl3[indx] = coupl2[i*nCoupled+j] + coupl1[k]; | |
1104 | coupl3[indx] -= 2 * (aijcluclu(indx1,indx3)+aijcluclu(indx2,indx3)); | |
1105 | } | |
1106 | } // else | |
1107 | } // for (Int_t j=i+1; | |
1108 | } // for (Int_t i=0; | |
1109 | } // for (Int_t i123=1; | |
1110 | ||
1111 | // Find minimum coupling | |
1112 | Double_t couplMin = 9999; | |
1113 | Int_t locMin = 0; | |
1114 | ||
1115 | for (Int_t i123=1; i123<=i123max; i123++) { | |
1116 | if (i123 == 1) { | |
1117 | locMin = TMath::LocMin(nCoupled, coupl1); | |
1118 | couplMin = coupl1[locMin]; | |
1119 | minGroup[0] = locMin; | |
1120 | delete [] coupl1; coupl1 = 0; | |
1121 | } | |
1122 | else if (i123 == 2) { | |
1123 | locMin = TMath::LocMin(nCoupled*nCoupled, coupl2); | |
1124 | if (coupl2[locMin] < couplMin) { | |
1125 | couplMin = coupl2[locMin]; | |
1126 | minGroup[0] = locMin/nCoupled; | |
1127 | minGroup[1] = locMin%nCoupled; | |
1128 | } | |
1129 | delete [] coupl2; coupl2 = 0; | |
1130 | } else { | |
1131 | locMin = TMath::LocMin(nTot, coupl3); | |
1132 | if (coupl3[locMin] < couplMin) { | |
1133 | couplMin = coupl3[locMin]; | |
1134 | minGroup[0] = locMin/nCoupled/nCoupled; | |
1135 | minGroup[1] = locMin%(nCoupled*nCoupled)/nCoupled; | |
1136 | minGroup[2] = locMin%nCoupled; | |
1137 | } | |
1138 | delete [] coupl3; coupl3 = 0; | |
1139 | } // else | |
1140 | } // for (Int_t i123=1; | |
1141 | return couplMin; | |
1142 | } | |
1143 | ||
1144 | //_____________________________________________________________________________ | |
1145 | Int_t | |
1146 | AliMUONClusterSplitterMLEM::SelectPad(const AliMUONCluster& cluster, | |
1147 | Int_t nCoupled, Int_t nForFit, | |
1148 | Int_t *clustNumb, Int_t *clustFit, | |
1149 | TMatrixD& aijclupad) | |
1150 | { | |
1151 | /// Select pads for fit. If too many coupled clusters, find pads giving | |
1152 | /// the strongest coupling with the rest of clusters and exclude them from the fit. | |
1153 | ||
1154 | Int_t npad = cluster.Multiplicity(); | |
1155 | Double_t *padpix = 0; | |
1156 | ||
1157 | if (nCoupled > 3) | |
1158 | { | |
1159 | padpix = new Double_t[npad]; | |
1160 | for (Int_t i=0; i<npad; i++) padpix[i] = 0; | |
1161 | } | |
1162 | ||
1163 | Int_t nOK = 0, indx, indx1; | |
1164 | for (Int_t iclust=0; iclust<nForFit; ++iclust) | |
1165 | { | |
1166 | indx = clustFit[iclust]; | |
1167 | for (Int_t j=0; j<npad; j++) | |
1168 | { | |
1169 | if ( aijclupad(indx,j) < fgkCouplMin) continue; | |
1170 | AliMUONPad* pad = cluster.Pad(j); | |
1171 | if ( pad->Status() == -5 ) pad->SetStatus(-0); // flag overflow | |
1172 | if ( pad->Status() < 0 ) continue; // exclude overflows and used pads | |
1173 | if ( !pad->Status() ) | |
1174 | { | |
1175 | pad->SetStatus(1); | |
1176 | ++nOK; // pad to be used in fit | |
1177 | } | |
1178 | if (nCoupled > 3) | |
1179 | { | |
1180 | // Check other clusters | |
1181 | for (Int_t iclust1=0; iclust1<nCoupled; ++iclust1) | |
1182 | { | |
1183 | indx1 = clustNumb[iclust1]; | |
1184 | if (indx1 < 0) continue; | |
1185 | if ( aijclupad(indx1,j) < fgkCouplMin ) continue; | |
1186 | padpix[j] += aijclupad(indx1,j); | |
1187 | } | |
1188 | } // if (nCoupled > 3) | |
1189 | } // for (Int_t j=0; j<npad; | |
1190 | } // for (Int_t iclust=0; iclust<nForFit | |
1191 | if (nCoupled < 4) return nOK; | |
1192 | ||
1193 | Double_t aaa = 0; | |
1194 | for (Int_t j=0; j<npad; ++j) | |
1195 | { | |
1196 | if (padpix[j] < fgkCouplMin) continue; | |
1197 | aaa += padpix[j]; | |
1198 | cluster.Pad(j)->SetStatus(-1); // exclude pads with strong coupling to the other clusters | |
1199 | nOK--; | |
1200 | } | |
1201 | delete [] padpix; | |
1202 | padpix = 0; | |
1203 | return nOK; | |
1204 | } | |
1205 | ||
1206 | //_____________________________________________________________________________ | |
1207 | void | |
1208 | AliMUONClusterSplitterMLEM::UpdatePads(const AliMUONCluster& cluster, | |
1209 | Int_t /*nfit*/, Double_t *par) | |
1210 | { | |
1211 | /// Subtract the fitted charges from pads with strong coupling | |
1212 | ||
1213 | Int_t indx; | |
1214 | Double_t charge, coef=0; | |
1215 | ||
1216 | for (Int_t j=0; j<cluster.Multiplicity(); ++j) | |
1217 | { | |
1218 | AliMUONPad* pad = cluster.Pad(j); | |
1219 | if ( pad->Status() != 1 ) continue; | |
1220 | if (fNpar != 0) | |
1221 | { | |
1222 | charge = 0; | |
1223 | for (Int_t i=fNpar/3; i>=0; --i) | |
1224 | { | |
1225 | // sum over tracks | |
1226 | indx = i<2 ? 2*i : 2*i+1; | |
1227 | if (fNpar == 2) | |
1228 | { | |
1229 | coef = 1; | |
1230 | } | |
1231 | else | |
1232 | { | |
1233 | coef = i==fNpar/3 ? par[indx+2] : 1-coef; | |
1234 | } | |
1235 | coef = TMath::Max (coef, 0.); | |
1236 | if (fNpar == 8 && i < 2) | |
1237 | { | |
1238 | coef = i==1 ? coef*par[indx+2] : coef - par[7]; | |
1239 | } | |
1240 | coef = TMath::Max (coef, 0.); | |
1241 | charge += ChargeIntegration(par[indx],par[indx+1],*pad); | |
1242 | } | |
1243 | charge *= fQtot; | |
1244 | pad->SetCharge(pad->Charge()-charge); | |
1245 | } // if (fNpar != 0) | |
1246 | ||
1247 | if (pad->Charge() > 6 /*fgkZeroSuppression*/) pad->SetStatus(0); | |
1248 | // return pad for further using // FIXME: remove usage of zerosuppression here | |
1249 | ||
1250 | } // for (Int_t j=0; | |
1251 | } | |
1252 | ||
1253 |