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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  *                                                                        *
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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 //////////////////////////////////////////////////////////////////////////
17 //                                                                      //
18 // AliHMPIDReconHTA                                                         //
19 //                                                                      //
20 // HMPID class to perfom pattern recognition based on Hough transfrom    //
21 // for single chamber                                                   //
22 //////////////////////////////////////////////////////////////////////////
23
24 #include "AliHMPIDReconHTA.h"//class header
25 #include "AliHMPIDCluster.h" //CkovHiddenTrk()
26 #include "AliHMPIDRecon.h"   //FunMinPhot()
27 #include <TFile.h>           //Database()
28 #include <TMinuit.h>         //FitFree()
29 #include <TClonesArray.h>    //CkovHiddenTrk()
30 #include <AliESDtrack.h>     //CkovHiddenTrk()
31 #include <TH2F.h>            //InitDatabase()
32 #include <TGraph.h>          //ShapeModel()
33 #include <TSpline.h>         //ShapeModel()
34 #include <TCanvas.h>         //ShapeModel()
35 #include "TStopwatch.h"      //
36
37 Int_t AliHMPIDReconHTA::fgDB[500][150]={{75000*0}};
38 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
39 AliHMPIDReconHTA::AliHMPIDReconHTA():
40   TNamed("RichRec","RichPat"),
41   fMipX(-999),
42   fMipY(-999),
43   fMipQ(-999),
44   fRadX(-999),
45   fRadY(-999),
46   fIdxMip(0),
47   fNClu(0),
48   fXClu(0),
49   fYClu(0),
50   fPhiPhot(0),
51   fThetaPhot(0),
52   fClCk(0),
53   fThTrkIn(-999),
54   fPhTrkIn(-999),
55   fThTrkFit(-999),
56   fPhTrkFit(-999),
57   fCkovFit(-999),
58   fNCluFit(0),
59   fCkovSig2(0),
60   fFitStatus(0),
61   fParam(AliHMPIDParam::Instance())
62 {
63 //..
64 //hidden algorithm
65 //..
66   fParam->SetRefIdx(fParam->MeanIdxRad()); // initialization of ref index to a default one
67   InitDatabase();
68 }
69 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
70 AliHMPIDReconHTA::~AliHMPIDReconHTA()
71 {
72   DeleteVars();
73 }
74 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
75 void AliHMPIDReconHTA::InitVars(Int_t n)
76 {
77 //..
78 //Init some variables
79 //..
80   fXClu = new Double_t[n];
81   fYClu = new Double_t[n];
82   fPhiPhot = new Double_t[n];
83   fThetaPhot = new Double_t[n];
84   fClCk = new Bool_t[n];
85   for(Int_t i=0;i<n;i++) fClCk[i] = kTRUE;
86 //
87 }
88 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
89 void AliHMPIDReconHTA::DeleteVars()const
90 {
91 //..
92 //Delete variables
93 //..
94   if(fXClu) delete [] fXClu;
95   if(fYClu) delete [] fYClu;
96   if(fPhiPhot) delete [] fPhiPhot;
97   if(fThetaPhot) delete [] fThetaPhot;
98   if(fClCk) delete [] fClCk;
99 }
100 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
101 Bool_t AliHMPIDReconHTA::CkovHiddenTrk(AliESDtrack *pTrk,TClonesArray *pCluLst,Int_t index, Double_t nmean)
102 {
103 // Pattern recognition method without any infos from tracking:HTA (Hidden Track Algorithm)...
104 // The method finds in the chmuber the cluster with the highest charge
105 // compatibile with a MIP, then the strategy is applied
106 // Arguments:  pTrk     - pointer to ESD track
107 //             pCluLs   - list of clusters for a given chamber 
108 //             pNmean   - pointer to ref. index
109 //             pQthre   - pointer to qthre
110 //   Returns:           - 0=ok,1=not fitted 
111   
112   AliHMPIDParam *pParam = AliHMPIDParam::Instance(); 
113
114   if(!CluPreFilter(pCluLst)) return kFALSE;
115
116   Int_t nCh=0;
117   Int_t sizeClu=0;
118   
119   fNClu = pCluLst->GetEntriesFast();
120     
121   for (Int_t iClu=0;iClu<fNClu;iClu++){                                                       //clusters loop
122     AliHMPIDCluster *pClu=(AliHMPIDCluster*)pCluLst->UncheckedAt(iClu);                       //get pointer to current cluster    
123     fXClu[iClu] = pClu->X();fYClu[iClu] = pClu->Y();                                          //store x,y for fitting procedure
124     fClCk[iClu] = kTRUE;                                                                      //all cluster are accepted at this stage to be reconstructed
125     
126     if(iClu == index) {
127
128       fMipX = pClu->X();
129       fMipY = pClu->Y();
130       fMipQ = pClu->Q();
131       sizeClu = pClu->Size();
132       nCh = pClu->Ch();
133       fClCk[index] = kFALSE;
134       fIdxMip = index;
135       AliDebug(1,Form(" MIP n. %i x %f y %f Q %f",iClu,pClu->X(),pClu->Y(),pClu->Q()));
136     }
137   }//clusters loop
138   
139   pParam->SetRefIdx(nmean);
140   
141   //
142   Float_t xra,yra,th,ph; pTrk->GetHMPIDtrk(xra,yra,th,ph);
143   AliDebug(1,Form(" simulated phiTRK %6.2f thetaTRK %6.2f",ph*TMath::RadToDeg(),th*TMath::RadToDeg()));
144   //
145   
146   if(!DoRecHiddenTrk()) {
147     pTrk->SetHMPIDsignal(pParam->kNoPhotAccept);
148     return kFALSE;
149   }                                                                           //Do track and ring reconstruction,if problems returns 1
150   AliDebug(1,Form("    fitted phi %6.2f ",fPhTrkFit*TMath::RadToDeg()));
151   
152   pTrk->SetHMPIDtrk(fRadX,fRadY,fThTrkFit,fPhTrkFit);                                        //store track intersection info
153   pTrk->SetHMPIDmip(fMipX,fMipY,(Int_t)fMipQ,NCluFit());                                     //store mip info + n. phots of the ring 
154   pTrk->SetHMPIDcluIdx(nCh,fIdxMip+1000*sizeClu);                                            //set cham number, index of cluster + cluster size
155   pTrk->SetHMPIDsignal(fCkovFit);                                                            //find best Theta ckov for ring i.e. track
156   pTrk->SetHMPIDchi2(fCkovSig2);                                                             //errors squared
157   AliDebug(1,Form(" n clusters tot %i fitted to ring %i",fNClu,NCluFit()));
158   for(Int_t i=0;i<fNClu;i++) {
159     AliDebug(1,Form(" n.%3i  ThetaCer %8.3f PhiCer %8.3f check %i",i,fThetaPhot[i],fPhiPhot[i],fClCk[i]));
160   }
161   AliDebug(1,Form("CkovHiddenTrk: thetaC %f th %f ph %f",fCkovFit,fThTrkFit*TMath::RadToDeg(),fPhTrkFit*TMath::RadToDeg()));
162   
163   return kTRUE;
164   
165 }//CkovHiddenTrk()
166 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
167 Bool_t AliHMPIDReconHTA::DoRecHiddenTrk()
168 {
169 // Pattern recognition method without any infos from tracking...
170 // First a preclustering filter to avoid part of the noise
171 // Then only ellipsed-rings are fitted (no possibility, 
172 // for the moment, to reconstruct very inclined tracks)
173 // Finally a fitting with (th,ph) free, starting by very close values
174 // previously evaluated.
175 // Arguments:   none
176 //   Returns:   none
177   Double_t thTrkRec,phiTrkRec,thetaCRec;
178   
179   if(!FindShape(thTrkRec,phiTrkRec,thetaCRec)) {
180     AliDebug(1,Form(" FindShape failed...!"));
181     return kFALSE;
182   }
183   AliDebug(1,Form(" FindShape accepted...!"));
184
185   if(!FitRing(thTrkRec,phiTrkRec)) {
186     AliDebug(1,Form(" FitRing failed...!"));
187     return kFALSE;
188   }
189   AliDebug(1,Form(" FitRing accepted...!"));
190   
191   if(!UniformDistrib()) {
192     AliDebug(1,Form(" UniformDistrib failed...!"));
193     return kFALSE;
194   }
195   AliDebug(1,Form(" UniformDistrib accepted...!"));
196
197   return kTRUE;
198 }//DoRecHiddenTrk()
199 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
200 Bool_t AliHMPIDReconHTA::CluPreFilter(TClonesArray *pCluLst)
201 {
202 // Pre-filter of bkg clusters
203 // Arguments:    pSluLst  -  List of the clusters for a given chamber
204 //   Returns:    status   -  TRUE if filtering leaves enough photons, FALSE if not
205 //
206   Int_t nClusTot = pCluLst->GetEntriesFast();
207   if(nClusTot<4||nClusTot>100) {
208     return kFALSE; 
209   } else { 
210     InitVars(nClusTot);
211     return kTRUE;
212   }
213 }
214 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
215 Bool_t AliHMPIDReconHTA::FindShape(Double_t &thTrkRec,Double_t &phiTrkRec,Double_t &thetaCRec)
216 {
217 // Finds the estimates for phi and theta of the track and the ThetaCerenkov
218 // by using a database of the shapes of the rings
219 // Arguments:   none  
220 //   Returns:   thTrkRec  - estimate of theta track
221 //              phiTrkRec - estimate of phi   track
222 //              thetaCRec - estimate of ThetaCerenkov
223 //              status    - TRUE if a good solution is found, FALSE if not
224
225   Double_t phiphot[1000];  
226   Double_t    dist[1000];  
227   Int_t     indphi[1000];  
228
229   Bool_t status;
230     
231   if(fNClu>1000) return kFALSE;  // too many clusters....
232   
233 // Sort in phi angle...
234   for(Int_t i=0;i<fNClu;i++) {
235     if(!fClCk[i]) {
236       AliDebug(1,Form(" n.%3i  xMIP    %8.3f yMIP %8.3f check %i",i,fMipX,fMipY,fClCk[i]));
237       phiphot[i] = 999.;
238       dist[i]    = 999.;
239       continue;
240     }
241     phiphot[i] = (TMath::ATan2(fMipY-fYClu[i],fMipX-fXClu[i])+TMath::Pi())*TMath::RadToDeg();
242     dist[i]=TMath::Sqrt((fMipX-fXClu[i])*(fMipX-fXClu[i])+(fMipY-fYClu[i])*(fMipY-fYClu[i]));
243     AliDebug(1,Form(" n.%3i  phiphot %8.3f dist %8.3f check %i",i,phiphot[i],dist[i],fClCk[i]));
244   }
245   
246   TMath::Sort(fNClu,phiphot,indphi,kFALSE);
247   
248 // Purify with a truncated mean;
249   Int_t np=0;
250   Double_t dMean  = 0;
251   Double_t dMean2 = 0;
252   for(Int_t i=0;i<fNClu;i++) {
253     if(!fClCk[indphi[i]]) continue;                                                  // Check if a good photon candidate or not
254     dMean +=dist[indphi[i]];
255     dMean2+=dist[indphi[i]]*dist[indphi[i]];
256     np++;
257   }
258  
259   if(np>0){    
260    dMean  /=(Double_t)np;
261    dMean2 /=(Double_t)np;}
262   Double_t rms = TMath::Sqrt(dMean2 - dMean*dMean);
263   
264   for(Int_t i=0;i<fNClu;i++) {
265     if(!fClCk[indphi[i]]) continue;                                                  // Check if a good photon candidate or not
266     if(TMath::Abs(dMean-dist[indphi[i]]) > 1.5*rms) {
267       fClCk[indphi[i]] = kFALSE;
268       continue;
269     }
270   }
271
272   AliDebug(1,"Purification of photons...");
273 //
274 //  purify vectors for good photon candidates
275 //
276   Int_t npeff=0;
277   Double_t *phiphotP = new Double_t[fNClu+1];  
278   Double_t *distP    = new Double_t[fNClu+1];  
279   for(Int_t i=0;i<fNClu;i++) {
280     AliDebug(1,Form(" n. %3i phiphot %8.3f dist %8.3f check %i",i,phiphot[indphi[i]],dist[indphi[i]],fClCk[indphi[i]]));
281     if(!fClCk[indphi[i]]) continue;                                                  // Check if a good photon candidate or not
282     phiphotP[npeff] = phiphot[indphi[i]];
283     distP[npeff]    = dist[indphi[i]];
284     npeff++;
285   }
286   
287   if(npeff<3) {
288     AliDebug(1,Form("FindShape failed: no enough photons = %i...",npeff));
289     delete [] phiphotP;
290     delete [] distP;
291     return kFALSE;
292   }
293
294   Double_t xA,xB;
295   status = kFALSE;
296   
297   if(!ShapeModel(npeff,phiphotP,distP,xA,xB,phiTrkRec)) {AliDebug(1,Form("ShapeModel failed            ")); return kFALSE;}
298    
299 //  if(xA > 50 || xB > 15)                                {AliDebug(1,Form("xA and xB failed out of range")); return kFALSE;}
300
301   Int_t binxDB,binyDB;
302   Int_t compactDB=-1;
303   
304   if(xA > xB)  {                                        //geometrically not possible, try to recover on a mean values...
305
306     FindBinDB(xA,xA,binxDB,binyDB);
307     if(binxDB<0 || binyDB<0)                              {AliDebug(1,Form("bin < 0 ! failed             ")); return kFALSE;}
308     Int_t compactDB1 = CompactDB(binxDB,binyDB);
309     FindBinDB(xB,xB,binxDB,binyDB);
310     if(binxDB<0 || binyDB<0)                              {AliDebug(1,Form("bin < 0 ! failed             ")); return kFALSE;}
311     Int_t compactDB2 = CompactDB(binxDB,binyDB);
312     Double_t thetaCRec1 =  (Double_t)(compactDB1%1000);
313     Double_t thetaCRec2 =  (Double_t)(compactDB2%1000);
314     Double_t thTrkRec1  =  (Double_t)(compactDB1/1000);
315     Double_t thTrkRec2  =  (Double_t)(compactDB2/1000);
316     thetaCRec = 0.5*(thetaCRec1+thetaCRec2);
317     thTrkRec  = 0.5*( thTrkRec1+ thTrkRec2);
318     
319   } else {
320       
321     FindBinDB(xA,xB,binxDB,binyDB);
322     if(binxDB<0 || binyDB<0) {AliDebug(1,Form("bin < 0 ! failed             ")); return kFALSE;}
323
324     compactDB = CompactDB(binxDB,binyDB);
325
326     if(compactDB<0)                                       {AliDebug(1,Form("compact< 0! failed           ")); return kFALSE;} 
327     //
328     //
329     thetaCRec =  (Double_t)(compactDB%1000);
330     thTrkRec  =  (Double_t)(compactDB/1000);
331
332   }
333
334   AliDebug(1,Form(" CompactDB %i thTrkRec %8.3f thetaCRec %8.3f ",compactDB,thTrkRec,thetaCRec));
335     
336   phiTrkRec *= TMath::DegToRad();
337   thTrkRec  *= TMath::DegToRad(); 
338   thetaCRec *= TMath::DegToRad();
339
340   status = kTRUE;
341
342   delete [] phiphotP;
343   delete [] distP;
344   
345   return status;
346 }
347 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
348 Bool_t AliHMPIDReconHTA::ShapeModel(Int_t np,Double_t *phiphot,Double_t *dist,Double_t &xA,Double_t &xB,Double_t &phiStart)
349 {
350 // Find a Spline curve to define dist. vs. phi angle
351 // in order to estimate the phi of the track
352 // Arguments:   np     - # points corresponding to # photon candidates
353 //             dist    - distance of each photon from MIP
354 //             phiphot - phi of the photon in the DRS
355 //   Returns:  xA      - min. distance from MIP
356 //             xB      - dist. from mip perpedicular to the major axis 
357 //             phiStart- estimate of the track phi
358
359   TGraph *phigr = new TGraph(np,phiphot,dist);
360   phiStart = FindSimmPhi();   
361   
362   Double_t phiStart1 = phiStart;
363   if(phiStart1 > 360) phiStart1 -= 360;
364   Double_t phiStart2 = phiStart+90;
365   if(phiStart2 > 360) phiStart2 -= 360;
366   xA = phigr->Eval(phiStart1);
367   xB = phigr->Eval(phiStart2);
368   //---
369   AliDebug(1,Form("phiStart %f phiStart1 %f phiStart2 %f ",phiStart,phiStart1,phiStart2));
370   AliDebug(1,Form("xA  %f xB  %f",xA,xB));
371
372   phiStart += 180;  
373   if(phiStart>360) phiStart-=360;
374   
375   return kTRUE;
376 }
377 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
378 Double_t AliHMPIDReconHTA::VertParab(Double_t x1,Double_t y1,Double_t x2, Double_t y2, Double_t x3, Double_t y3)const
379 {
380 // It uses parabola from 3 points to evaluate the x-coord of the parab 
381 // Arguments:    xi,yi - points
382 //   Returns:    x-coord of the vertex 
383   
384   Double_t a = ((x1-x3)*(y1-y2)-(x1-x2)*(y1-y3))/((x1*x1-x2*x2)*(x1-x3)-(x1*x1-x3*x3)*(x1-x2));
385   Double_t b = (y1-y2 - a*(x1*x1-x2*x2))/(x1-x2);
386 //  Double_t c = y1 - a*x1*x1-b*x1;
387   return -0.5*b/a;
388 }
389 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
390 Bool_t AliHMPIDReconHTA::FitRing(Double_t thTrkRec,Double_t phiTrkRec)
391 {
392   Double_t th = thTrkRec;
393   Double_t ph = phiTrkRec;
394   
395   FitFree(th,ph);
396   while(FitStatus()) {
397     th = fThTrkFit;
398     ph = fPhTrkFit;
399     FitFree(th,ph);
400   }
401   return kTRUE;
402 }
403 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
404 Bool_t AliHMPIDReconHTA::FitFree(Double_t thTrkRec,Double_t phiTrkRec)
405 {
406 // Fit performed by minimizing RMS/sqrt(n) of the
407 // photons reconstructed. First phi is fixed and theta
408 // is fouond, then (th,ph) of the track
409 // as free parameters
410 // Arguments:    PhiRec phi of the track
411 //   Returns:    none
412   
413   TMinuit *pMinuit = new TMinuit(2);
414   pMinuit->mncler();
415   gMinuit->SetObjectFit((TObject*)this);  gMinuit->SetFCN(AliHMPIDReconHTA::FunMinPhot);  //set fit function
416   Double_t aArg=-1,parStep,parLow,parHigh;     Int_t iErrFlg;                 //tmp vars for TMinuit
417   Double_t d1,d2,d3;
418   TString sName;
419   Double_t th,ph;
420   
421   pMinuit->mnexcm("SET PRI",&aArg,1,iErrFlg);                                          //suspend all printout from TMinuit
422   pMinuit->mnexcm("SET NOW",&aArg,0,iErrFlg);
423
424   if(thTrkRec==0) thTrkRec = 3.*TMath::DegToRad();    // not to start from the edge...
425   
426   AliDebug(1,Form(" Minimization STARTED with phiTRK %6.2f thetaTRK %6.2f",phiTrkRec,thTrkRec));
427
428   pMinuit->mnparm(0," thTrk  ",thTrkRec ,parStep=0.01,parLow=0,parHigh=TMath::PiOver4(),iErrFlg);
429   pMinuit->mnparm(1," phiTrk ",phiTrkRec,parStep=0.01,parLow=0,parHigh=TMath::TwoPi(),iErrFlg);
430   
431   pMinuit->FixParameter(1);
432   pMinuit->mnexcm("SIMPLEX" ,&aArg,0,iErrFlg);   
433   pMinuit->mnexcm("MIGRAD"  ,&aArg,0,iErrFlg);
434   pMinuit->Release(1);  
435   pMinuit->mnexcm("MIGRAD"  ,&aArg,0,iErrFlg);
436   
437   pMinuit->mnpout(0,sName,th,d1,d2,d3,iErrFlg);
438   pMinuit->mnpout(1,sName,ph,d1,d2,d3,iErrFlg);   
439   
440   Double_t f,par[2];
441   Double_t *grad=0x0;
442   par[0] = th;par[1] = ph;
443   pMinuit->Eval(2,grad,f,par,3);
444
445   SetTrkFit(th,ph);
446   return kTRUE;
447 }
448 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
449 void AliHMPIDReconHTA::FunMinPhot(Int_t &/* */,Double_t* /* */,Double_t &f,Double_t *par,Int_t iflag)
450 {
451 // Minimization function to find best track and thetaC parameters
452 // Arguments:    f = function value to minimize
453 //             par = list of parameter to find
454 //           iflag = flag status. See Minuit instructions
455 //   Returns:    none
456 //
457 // Note: it is necessary to call an instance of AlihMPIDParam. Not possible to use fParam
458 // because of the static instantiation of the function in Minuit
459   
460   AliHMPIDParam *pParam=AliHMPIDParam::Instance();
461   AliHMPIDReconHTA *pRecHTA=(AliHMPIDReconHTA*)gMinuit->GetObjectFit();
462   AliHMPIDRecon pRec;
463   Double_t sizeCh = 0.5*pParam->RadThick()+pParam->WinThick()+pParam->GapThick();
464   Double_t thTrk = par[0]; 
465   Double_t phTrk = par[1];
466   Double_t xrad = pRecHTA->MipX() - sizeCh*TMath::Tan(thTrk)*TMath::Cos(phTrk);
467   Double_t yrad = pRecHTA->MipY() - sizeCh*TMath::Tan(thTrk)*TMath::Sin(phTrk);
468   pRecHTA->SetRadXY(xrad,yrad);
469   pRec.SetTrack(xrad,yrad,thTrk,phTrk);
470
471   Double_t meanCkov =0;
472   Double_t meanCkov2=0;
473   Double_t thetaCer,phiCer;
474   Int_t nClAcc = 0;
475   Int_t nClTot=pRecHTA->NClu();
476
477   for(Int_t i=0;i<nClTot;i++) {
478     
479     if(pRecHTA->IdxMip() == i) {
480       pRecHTA->SetPhotAngles(i,999.,999.);
481       continue;
482     }
483     
484     if(!(pRecHTA->ClCk(i))) continue;
485     
486     Bool_t status = pRec.FindPhotCkov(pRecHTA->XClu(i),pRecHTA->YClu(i),thetaCer,phiCer);
487     if(!status) {
488       pRecHTA->SetPhotAngles(i,999.,999.);
489       continue;
490     }
491     pRecHTA->SetPhotAngles(i,thetaCer,phiCer);
492     meanCkov  += thetaCer;
493     meanCkov2 += thetaCer*thetaCer;
494     nClAcc++;
495   }
496   
497   if(nClAcc==0) {f=999;return;}
498   meanCkov  /=(Double_t)nClAcc;
499   meanCkov2 /=(Double_t)nClAcc;
500   Double_t rms = TMath::Sqrt(TMath::Abs(meanCkov2 - meanCkov*meanCkov));
501   f = rms/TMath::Sqrt((Double_t)nClAcc);
502   
503   if(iflag==3) {
504     Int_t nClAccStep1 = nClAcc;
505     nClAcc = 0;
506     Double_t meanCkov1=0;
507     Double_t meanCkov3=0;
508     for(Int_t i=0;i<nClTot;i++) {
509       
510       if(!(pRecHTA->ClCk(i))) continue;
511       thetaCer = pRecHTA->PhotTheta(i);
512       if(TMath::Abs(thetaCer-meanCkov)<2*rms) {
513         meanCkov1 += thetaCer;
514         meanCkov3 += thetaCer*thetaCer;
515         nClAcc++;
516       } else pRecHTA->SetClCk(i,kFALSE);
517     }
518     
519     if(nClAcc<3) {
520       pRecHTA->SetFitStatus(kFALSE);
521       pRecHTA->SetCkovFit(meanCkov);
522       pRecHTA->SetCkovSig2(rms*rms);
523       pRecHTA->SetNCluFit(nClAccStep1);
524       return;
525     }
526       
527     meanCkov1/=nClAcc;
528     Double_t rms2 = (meanCkov3 - meanCkov*meanCkov*nClAcc)/nClAcc;
529     
530     // get a logger instance
531     // what for??
532     //AliLog::GetRootLogger();
533
534     if(nClAcc!=nClAccStep1) pRecHTA->SetFitStatus(kTRUE); else pRecHTA->SetFitStatus(kFALSE);
535     
536     pRecHTA->SetCkovFit(meanCkov1);
537     pRecHTA->SetCkovSig2(rms2);
538     pRecHTA->SetNCluFit(nClAcc);
539   }
540 }//FunMinPhot()
541 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
542 void AliHMPIDReconHTA::InitDatabase()
543 {
544 // Construction a database of ring shapes on fly
545 //   Arguments: none
546 //   Returns  : none
547 //  N.B. fgDB is the distance with x-min from MIP
548 //                                 y-dist from the ring of the MIP perpendicular to major axis
549 //        The content is the packed info of track theta and thetaC in degrees
550 //                        thetaC+1000*thTrk
551 //
552 //  TFile *pout = new TFile("./database.root","recreate");
553
554   static Bool_t isDone = kFALSE;
555   
556   TStopwatch timer;
557   
558   if(isDone) {
559    return;
560   }
561   
562   if(!isDone) {
563     timer.Start();
564   }
565  
566   AliInfo(Form("database HTA is being built.Please, wait..."));
567 //  
568   Double_t x[3]={0,0,0},y[3];
569
570   AliHMPIDRecon rec;
571
572   if(!fParam) fParam=AliHMPIDParam::Instance();
573   Double_t thetaMax = TMath::ACos(1./fParam->MeanIdxRad());
574   Double_t thTrkMax = 1./TMath::ASin(fParam->MeanIdxRad());    
575
576   Int_t nstepx = 1000;
577   Int_t nstepy = 1000;
578
579   //
580   Double_t xrad = 0;
581   Double_t yrad = 0;
582   Double_t phTrk = 0;
583
584   for(Int_t i=0;i<nstepx;i++) {     //loop on thetaC
585     for(Int_t j=0;j<nstepy;j++) {   //loop on theta particle
586       Double_t thetaC = thetaMax/nstepx*((Double_t)i+0.5);
587       Double_t thTrk  = thTrkMax/nstepy*((Double_t)j+0.5);
588       //
589       //mip position
590       //
591       Double_t sizeCh = 0.5*fParam->RadThick()+fParam->WinThick()+fParam->GapThick();
592       Double_t xmip = xrad + sizeCh*TMath::Tan(thTrk)*TMath::Cos(phTrk);
593       Double_t ymip = yrad + sizeCh*TMath::Tan(thTrk)*TMath::Sin(phTrk);
594
595       Double_t dist2;
596       //
597       //first point at phi=0
598       //
599       rec.SetTrack(xrad,yrad,thTrk,phTrk);
600       TVector2 pos;
601       pos=rec.TracePhot(thetaC,0);
602
603       /*if(pos.X()==-999) {
604         dist1 = 0;            //open ring...only the distance btw mip and point at 180 will be considered
605       } else {
606         x[0] = pos.X(); y[0] = pos.Y();
607         dist1   = TMath::Sqrt((x[0]-xmip)*(x[0]-xmip)+(y[0]-ymip)*(y[0]-ymip));
608       }*/
609       
610       if(pos.X()!=-999) {x[0] = pos.X(); y[0] = pos.Y();}
611       
612       //
613       //second point at phi=180
614       //
615       rec.SetTrack(xrad,yrad,thTrk,phTrk);
616       pos=rec.TracePhot(thetaC,TMath::Pi());
617
618       if(pos.X()==-999) {AliDebug(1,Form("it should not happens!Bye"));return;}
619       x[1] = pos.X(); y[1] = pos.Y();
620       if((x[1]-xmip)*(x[0]-xmip)>0) continue; // to avoid circles out mips (for very low ThetaC)
621       dist2   = TMath::Sqrt((x[1]-xmip)*(x[1]-xmip)+(y[1]-ymip)*(y[1]-ymip));
622
623 //      Double_t distA = dist1+dist2;
624       Double_t distA = dist2;     // only the minimum: problem of acceptance
625       //
626       //second point at phi=90
627       //
628       rec.SetTrack(xrad,yrad,thTrk,phTrk);
629       pos=rec.TracePhot(thetaC,TMath::PiOver2());
630
631       if(pos.X()==-999) continue;
632       x[2] = pos.X(); y[2] = pos.Y();
633       Double_t distB   = TMath::Sqrt((x[2]-xmip)*(x[2]-xmip)+(y[2]-ymip)*(y[2]-ymip));
634 // compact the infos...      
635       Int_t compact = (Int_t)(thetaC*TMath::RadToDeg())+1000*(Int_t)(thTrk*TMath::RadToDeg());
636       Int_t binxDB,binyDB;
637       FindBinDB(distA,distB,binxDB,binyDB);
638       if(fgDB[binxDB][binyDB]==0) fgDB[binxDB][binyDB] = compact;
639     }
640   }
641
642   FillZeroChan();
643
644   if(!isDone) {
645     timer.Stop();
646     Double_t nSecs = timer.CpuTime();  
647     AliInfo(Form("database HTA successfully open in %3.1f sec.(CPU). Reconstruction is started.",nSecs));
648     isDone = kTRUE;
649   }
650   
651 //  pout->Write();
652 //  pout->Close();
653   
654 }//InitDatabase()
655 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
656 void AliHMPIDReconHTA::FillZeroChan()const
657 {
658   //If fills eventually channel without entries
659   //inthe histo "database" jyst interpolating the neighboring cells
660   // Arguments: histogram pointer of the database
661   //   Returns: none
662   //
663   const Int_t nxDB = 500;
664   const Int_t nyDB = 150;
665
666   for(Int_t i = 0;i<nxDB;i++) {
667     for(Int_t j = 0;j<nyDB;j++) {
668       if(fgDB[i][j] == 0) {
669         fgDB[i][j] = -1;
670         Int_t nXmin = i-1; Int_t nXmax=i+1;
671         Int_t nYmin = j-1; Int_t nYmax=j+1;
672         Int_t nc = 0;
673         Double_t meanC =0;
674         Double_t meanTrk =0;
675         for(Int_t ix=nXmin;ix<=nXmax;ix++) {
676           if(ix<0||ix>=nxDB) continue;
677           for(Int_t iy=nYmin;iy<=nYmax;iy++) {
678             if(iy<0||iy>=nyDB) continue;
679             meanC  +=  (Int_t)(fgDB[ix][iy]%1000);
680             meanTrk+=  (Int_t)(fgDB[ix][iy]/1000);
681             nc++;
682           }
683           meanC/=nc; meanTrk/=nc;
684           Int_t compact = (Int_t)meanC+1000*(Int_t)meanTrk;
685           if(compact>0)fgDB[i][j] = compact;
686         }
687       }
688     }
689   }
690 }//FillZeroChan()
691 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
692 Int_t AliHMPIDReconHTA::r2(Double_t *coef, Double_t &x1, Double_t &x2)
693 {
694   //2nd deg. equation
695   //solution
696   // Arguments: coef 2 1 0: ax^2+bx+c=0
697   //   Returns: n. of solutions
698   //            x1= 1st sol
699   //            x2= 2nd sol
700   Double_t a,b,c;
701   a = coef[2];
702   b = coef[1];
703   c = coef[0];
704   Double_t delta = b*b-4*a*c;
705   if(delta<0) {return 0;}
706   if(delta==0) {
707     x1=x2=-b/(2*a);
708     return 1;
709   }
710   if(a==0) {
711     x1 = -c/b;
712     return 1;
713   }
714   // delta>0
715   x1 = (-b+TMath::Sqrt(delta))/(2*a);
716   x2 = (-b-TMath::Sqrt(delta))/(2*a);
717   return 2;
718 }//r2()
719 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
720
721 Double_t AliHMPIDReconHTA::FindSimmPhi() 
722 {     
723 //+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
724 // Reconstruction of phiTRK angle with two methods (in switching)
725 // 
726 // - least square method (for closed rings)
727 // - by minimum distance mip-photon (for open rings)
728   
729   Float_t coeff1ord=0;     Float_t coeff2ord=0;     Float_t coeff0ord=0;  
730   Float_t xrotsumm =0;     Float_t yrotsumm =0;     Float_t xx =0;           
731   Float_t yy =0;           Float_t xy =0;
732   Double_t xmin=0;
733   Double_t ymin=0;
734
735   Int_t np=0;    
736     
737   Double_t distMin = 999.;
738   
739   for(Int_t i=0;i<fNClu;i++) {
740     if(!fClCk[i]) continue;
741     np++;
742     xrotsumm+=fXClu[i];         // summ xi
743     yrotsumm+=fYClu[i];         // summ yi
744     xx+=fXClu[i]*fXClu[i];      // summ xixi     
745     yy+=fYClu[i]*fYClu[i];      // summ yiyi
746     xy+=fXClu[i]*fYClu[i];      // summ yixi     
747     Double_t dist2= (fXClu[i]-fMipX)*(fXClu[i]-fMipX)+(fYClu[i]-fMipY)*(fYClu[i]-fMipY);
748     if(dist2<distMin) {
749       distMin = dist2;
750       xmin = fXClu[i];
751       ymin = fYClu[i];
752     }
753   }
754
755   Double_t AngM = TMath::ATan2(ymin-fMipY,(xmin-fMipX))*TMath::RadToDeg();
756   if (AngM<0) AngM+=360;
757   
758   AliDebug(1,Form(" Simple angle prediction with MIN phi = %f",AngM));
759   
760   //_____calc. met min quadr using effective distance _________________________________________________
761   
762   if(np>0){ 
763     coeff2ord = xy-xrotsumm*yrotsumm/np;    
764     coeff1ord = yrotsumm*yrotsumm/np - xrotsumm*xrotsumm/np - yy + xx;
765   }
766   coeff0ord = -coeff2ord;
767   
768   AliDebug(1,Form(" a = %f b = %f c = %f",coeff2ord,coeff1ord,coeff0ord));
769   
770   Double_t m1=0, m2=0;  Double_t n1=0, n2=0;
771                             // c           // b         // a
772   Double_t coeff[3]={coeff0ord,coeff1ord,coeff2ord};    
773   
774   r2(coeff,m1,m2);
775   
776   if(np>0){ 
777     n1=(yrotsumm-m1*xrotsumm)/np;                         
778     n2=(yrotsumm-m2*xrotsumm)/np;}
779   // 2 solutions.................
780   
781   // negative angles solved...
782   
783   Double_t d1 =(1/(m1*m1+1))*(yy+m1*m1*xx+np*n1*n1-2*m1*xy-2*n1*yrotsumm+2*m1*n1*xrotsumm);
784   Double_t d2 =(1/(m2*m2+1))*(yy+m2*m2*xx+np*n2*n2-2*m2*xy-2*n2*yrotsumm+2*m2*n2*xrotsumm);
785
786   AliDebug(1,Form(" predicted distance d1 %f for angle %6.2f d2 %f for angle %6.2f",d1,TMath::ATan(m1)*TMath::RadToDeg(),
787                                                                                     d2,TMath::ATan(m2)*TMath::RadToDeg()));
788   Double_t mMin;
789   if(d1 > d2) mMin = m2; else mMin = m1;
790   
791   Double_t phiTrk=0;
792   // 
793   if(ymin <  fMipY && xmin >  fMipX)  {phiTrk  =  TMath::ATan(mMin)*TMath::RadToDeg()+180;}
794   if(ymin >  fMipY && xmin <  fMipX)  {phiTrk  =  TMath::ATan(mMin)*TMath::RadToDeg()+360;}
795   if(ymin >  fMipY && xmin >  fMipX)  {phiTrk  =  TMath::ATan(mMin)*TMath::RadToDeg()+180;}
796   if(ymin <  fMipY && xmin <  fMipX)  {phiTrk  =  TMath::ATan(mMin)*TMath::RadToDeg();}
797   if(ymin == fMipY && xmin >  fMipX)  {phiTrk  =  TMath::ATan(mMin)*TMath::RadToDeg()+180;}
798   if(ymin == fMipY && xmin <  fMipX)  {phiTrk  =  TMath::ATan(mMin)*TMath::RadToDeg();}
799   if(ymin <  fMipY && xmin == fMipX)  {phiTrk  =   90;}
800   if(ymin >  fMipY && xmin == fMipX)  {phiTrk  =  270;}
801   
802   //  ------------------------- choose the best-----------------------
803   
804   
805   if( AngM-40 <=  phiTrk  &&  AngM+40 >= phiTrk)   return phiTrk;  else return AngM;
806 }
807 //+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
808 void AliHMPIDReconHTA::FindBinDB(Double_t x,Double_t y,Int_t &binX,Int_t &binY)
809 {
810   const Int_t nxDB = 500;
811   const Int_t nyDB = 150;
812   const Double_t xlowDB =  0;   
813   const Double_t xhigDB = 50;   
814   const Double_t ylowDB =  0;
815   const Double_t yhigDB = 30;
816
817   binX = -1;
818   binY = -1;
819   if(x<xlowDB && x>xhigDB &&
820      y<ylowDB && y>yhigDB)    return;
821   binX = Int_t((x-xlowDB)/(xhigDB-xlowDB)*nxDB);
822   binY = Int_t((y-ylowDB)/(yhigDB-ylowDB)*nyDB);
823   if(binX>=nxDB || binY>=nyDB) {
824     binX = -1;
825     binY = -1;
826   }
827   
828 }
829 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
830 Bool_t AliHMPIDReconHTA::UniformDistrib() 
831 {
832   AliHMPIDParam *pParam=AliHMPIDParam::Instance();
833   AliHMPIDRecon pRec;
834
835   Double_t sizeCh = 0.5*pParam->RadThick()+pParam->WinThick()+pParam->GapThick();
836   Double_t xrad = MipX() - sizeCh*TMath::Tan(fThTrkFit)*TMath::Cos(fPhTrkFit);
837   Double_t yrad = MipY() - sizeCh*TMath::Tan(fThTrkFit)*TMath::Sin(fPhTrkFit);
838   
839   pRec.SetTrack(xrad,yrad,fThTrkFit,fPhTrkFit);
840     
841   Int_t npeff=0;
842   Int_t nPhotPerBin = 4;
843   for(Int_t i=0;i<fNClu;i++) {  
844     if(!ClCk(i)) continue;
845     npeff++;
846   }
847   
848   Int_t nPhiBins = npeff/nPhotPerBin+1;
849   if(nPhiBins<=1) nPhiBins = 2;
850
851   Double_t *iPhiBin;
852   iPhiBin = new Double_t[nPhiBins];
853   
854   for(Int_t i=0;i<nPhiBins;i++) iPhiBin[i] =0;
855
856   for(Int_t i=0;i<fNClu;i++) { 
857     if(!ClCk(i)) continue;
858     Double_t phiCer = PhotPhi(i);
859     
860     Double_t PhiProva = phiCer*TMath::RadToDeg();
861     if(PhiProva<0) PhiProva+= 360;
862     Int_t index = (Int_t)((Float_t)nPhiBins*PhiProva/360.);
863     iPhiBin[index]++;
864    }
865
866    Double_t chi2 = 0;
867    for(Int_t i=0;i<nPhiBins;i++) {
868      Double_t theo = (Double_t)npeff/(Double_t)nPhiBins;
869      if(theo==0) continue;
870      chi2+= (iPhiBin[i] - theo)*(iPhiBin[i] - theo)/theo;
871    }
872    
873     delete [] iPhiBin;
874     
875     Double_t prob = TMath::Prob(chi2, nPhiBins-1);
876     AliDebug(1,Form(" Probability for uniform distrib: %6f.3 %s",prob,(prob<0.05) ? "rejected" : "accepted"));
877     if(prob<0.05) return kFALSE;
878     return kTRUE;
879     
880  }
881 //+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++