TRD/AliTRDrecoParam.h

   1 #ifndef ALITRDRECOPARAM_H
   2 #define ALITRDRECOPARAM_H
   3 /* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
   4 * See cxx source for full Copyright notice                               */
   5
   6 /* $Id$ */
   7
   8 ////////////////////////////////////////////////////////////////////////////
   9 //                                                                        //
  10 //  Parameter class for the TRD reconstruction                            //
  11 //                                                                        //
  12 ////////////////////////////////////////////////////////////////////////////
  13
  14 #ifndef ALIDETECTORRECOPARAM_H
  15 #include "AliDetectorRecoParam.h"
  16 #endif
  17 #ifndef ALITRDCALPID_H
  18 #include "Cal/AliTRDCalPID.h"
  19 #endif
  20
  21 class TString;
  22
  23 class AliTRDrecoParam : public AliDetectorRecoParam
  24 {
  25 public:
  26   enum ETRDReconstructionTask{
  27     kClusterizer = 0,
  28     kTracker = 1,
  29     kPID = 2,
  30     kTRDreconstructionTasks = 3
  31   };
  32   enum ETRDflags {
  33     kDriftGas
  34     ,kVertexConstraint
  35     ,kTailCancelation
  36     ,kImproveTracklet
  37     ,kLUT
  38     ,kGAUS
  39     ,kClusterSharing
  40     ,kSteerPID
  41     ,kEightSlices
  42     ,kCheckTimeConsistency
  43     ,kLQ2D
  44   };
  45   AliTRDrecoParam();
  46   AliTRDrecoParam(const AliTRDrecoParam &rec);
  47   ~AliTRDrecoParam() { }
  48
  49   Double_t GetChi2Y() const                 { return fkChi2Y;    }
  50   Double_t GetChi2Z() const                 { return fkChi2Z;    }
  51   Double_t GetChi2YSlope() const            { return fkChi2YSlope; }
  52   Double_t GetChi2ZSlope() const            { return fkChi2ZSlope; }
  53         Double_t GetChi2YCut() const              { return fkChi2YCut; }
  54   Double_t GetPhiSlope() const              { return fkPhiSlope;   }
  55   Float_t  GetNClusters() const;
  56   Double_t GetNMeanClusters() const         { return fkNMeanClusters; }
  57   Double_t GetNSigmaClusters() const        { return fkNSigmaClusters; }
  58   Double_t GetFindableClusters() const      { return fkFindable; }
  59   inline Int_t    GetPIDLQslices() const;
  60   Double_t GetMaxTheta() const              { return fkMaxTheta; }
  61   Double_t GetMaxPhi() const                { return fkMaxPhi;   }
  62   Double_t GetPlaneQualityThreshold() const { return fkPlaneQualityThreshold; }
  63   Double_t GetPIDThreshold(Float_t /*p*/) const { return 0.;}
  64   Double_t GetRoad0y() const                { return fkRoad0y;   }
  65   Double_t GetRoad0z() const                { return fkRoad0z;   }
  66   Double_t GetRoad1y() const                { return fkRoad1y;   }
  67   Double_t GetRoad1z() const                { return fkRoad1z;   }
  68   Double_t GetRoad2y() const                { return fkRoad2y;   }
  69   Double_t GetRoad2z() const                { return fkRoad2z;   }
  70   Double_t GetRoadzMultiplicator() const    { return fkRoadzMultiplicator; }
  71   Double_t GetTrackLikelihood() const       { return fkTrackLikelihood;       }
  72   inline void GetSysCovMatrix(Double_t *sys) const;
  73   inline void GetTCParams(Double_t *par) const;
  74   inline Int_t GetStreamLevel(ETRDReconstructionTask task) const;
  75   const TString *GetRawStreamVersion() const{ return &fRawStreamVersion; };
  76   Double_t GetMinMaxCutSigma() const        { return fMinMaxCutSigma;     };
  77   Double_t GetMinLeftRightCutSigma() const  { return fMinLeftRightCutSigma;  };
  78   Double_t GetClusMaxThresh() const         { return fClusMaxThresh;   };
  79   Double_t GetClusSigThresh() const         { return fClusSigThresh;   };
  80   Int_t    GetTCnexp() const                { return fTCnexp;          };
  81   Int_t    GetNumberOfPresamples()  const   { return fNumberOfPresamples;}
  82   Int_t    GetNumberOfPostsamples() const   { return fNumberOfPostsamples;}
  83   Bool_t   IsArgon() const                  { return TESTBIT(fFlags, kDriftGas); }
  84   Bool_t   IsCheckTimeConsistency() const   { return kCheckTimeConsistency;}
  85   Bool_t   IsOverPtThreshold(Double_t pt) const {return Bool_t(pt>fkPtThreshold);}
  86   Bool_t   IsXenon() const                  { return !TESTBIT(fFlags, kDriftGas); }
  87   Bool_t   IsPIDNeuralNetwork() const       { return TESTBIT(fFlags, kSteerPID);}
  88   Bool_t   IsVertexConstrained() const      { return TESTBIT(fFlags, kVertexConstraint); }
  89   Bool_t   IsEightSlices() const            { return TESTBIT(fFlags, kEightSlices);}
  90   Bool_t   HasImproveTracklets() const      { return TESTBIT(fFlags, kImproveTracklet);}
  91   Bool_t   UseClusterSharing() const        { return TESTBIT(fFlags, kClusterSharing);}
  92   Bool_t   UseLUT() const                   { return TESTBIT(fFlags, kLUT);}
  93   Bool_t   UseGAUS() const                  { return TESTBIT(fFlags, kGAUS);}
  94   Bool_t   UseTailCancelation() const       { return TESTBIT(fFlags, kTailCancelation); }
  95
  96   static   AliTRDrecoParam *GetLowFluxParam();
  97   static   AliTRDrecoParam *GetHighFluxParam();
  98   static   AliTRDrecoParam *GetCosmicTestParam();
  99
 100   void     SetArgon(Bool_t b = kTRUE)                         {if(b) SETBIT(fFlags, kDriftGas); else CLRBIT(fFlags, kDriftGas);}
 101   void     SetCheckTimeConsistency(Bool_t b = kTRUE)          {if(b) SETBIT(fFlags, kCheckTimeConsistency); else CLRBIT(fFlags, kCheckTimeConsistency);}
 102   void     SetClusterSharing(Bool_t b = kTRUE)                {if(b) SETBIT(fFlags, kClusterSharing); else CLRBIT(fFlags, kClusterSharing);}
 103   void     SetEightSlices(Bool_t b = kTRUE)                   {if(b) SETBIT(fFlags, kEightSlices); else CLRBIT(fFlags, kEightSlices);}
 104   void     SetImproveTracklets(Bool_t b = kTRUE)              {if(b) SETBIT(fFlags, kImproveTracklet); else CLRBIT(fFlags, kImproveTracklet);}
 105   void     SetLUT(Bool_t b=kTRUE)                             {if(b) SETBIT(fFlags, kLUT); else CLRBIT(fFlags, kLUT);}
 106   void     SetGAUS(Bool_t b=kTRUE)                            {if(b) SETBIT(fFlags, kGAUS); else CLRBIT(fFlags, kGAUS);}
 107   void     SetPIDNeuralNetwork(Bool_t b=kTRUE)                {if(b) SETBIT(fFlags, kSteerPID); else CLRBIT(fFlags, kSteerPID);}
 108   void     SetPIDLQslices(Int_t s);
 109   void     SetTailCancelation(Bool_t b=kTRUE)                 {if(b) SETBIT(fFlags, kTailCancelation); else CLRBIT(fFlags, kTailCancelation);}
 110   void     SetXenon(Bool_t b = kTRUE)                         {if(b) CLRBIT(fFlags, kDriftGas); else SETBIT(fFlags, kDriftGas);}
 111   void     SetVertexConstrained()                             {SETBIT(fFlags, kVertexConstraint);}
 112   void     SetMaxTheta(Double_t maxTheta)                     {fkMaxTheta = maxTheta;}
 113   void     SetMaxPhi(Double_t maxPhi)                         {fkMaxPhi = maxPhi;}
 114   void     SetFindableClusters(Double_t r)                    {fkFindable = r;}
 115   void     SetChi2Y(Double_t chi2)                            {fkChi2Y = chi2;}
 116   void     SetChi2Z(Double_t chi2)                            {fkChi2Z = chi2;}
 117   void     SetChi2YSlope(Double_t chi2YSlope)                 {fkChi2YSlope = chi2YSlope;}
 118   void     SetChi2ZSlope(Double_t chi2ZSlope)                 {fkChi2ZSlope = chi2ZSlope;}
 119         void       SetChi2YCut(Double_t chi2Cut)                      {fkChi2YCut = chi2Cut; }
 120   void     SetPhiSlope(Double_t phiSlope)                     {fkPhiSlope = phiSlope;}
 121   void     SetNMeanClusters(Double_t meanNclusters)           {fkNMeanClusters = meanNclusters;}
 122   void     SetNSigmaClusters(Double_t sigmaNclusters)         {fkNSigmaClusters = sigmaNclusters;}
 123   void     SetRawStreamVersion(const Char_t *version)         {fRawStreamVersion = version; }
 124   void     SetRoadzMultiplicator(Double_t mult)               {fkRoadzMultiplicator = mult; }
 125   void     SetMinMaxCutSigma(Float_t minMaxCutSigma)          { fMinMaxCutSigma   = minMaxCutSigma; }
 126   void     SetMinLeftRightCutSigma(Float_t minLeftRightCutSigma) { fMinLeftRightCutSigma   = minLeftRightCutSigma; };
 127   void     SetClusMaxThresh(Float_t thresh)                   { fClusMaxThresh   = thresh; };
 128   void     SetClusSigThresh(Float_t thresh)                   { fClusSigThresh   = thresh; };
 129   inline void SetPIDThreshold(Double_t *pid);
 130   void     SetPtThreshold(Double_t pt) {fkPtThreshold = pt;}
 131   void     SetNexponential(Int_t nexp)                        { fTCnexp          = nexp;   };
 132   inline void SetTCParams(Double_t *par);
 133   inline void SetStreamLevel(ETRDReconstructionTask task, Int_t level);
 134   inline void SetSysCovMatrix(Double_t *sys);
 135   void     SetNumberOfPresamples(Int_t n)                     { fNumberOfPresamples = n;}
 136   void     SetNumberOfPostsamples(Int_t n)                    { fNumberOfPostsamples = n;}
 137
 138 private:
 139   // Physics reference values for TRD
 140   Double_t  fkdNchdy;                // dNch/dy
 141   Double_t  fkMaxTheta;              // Maximum theta
 142   Double_t  fkMaxPhi;                // Maximum phi - momentum cut
 143   // Tracker params
 144   Double_t  fkRoad0y;                // Road for middle cluster
 145   Double_t  fkRoad0z;                // Road for middle cluster
 146
 147   Double_t  fkRoad1y;                // Road in y for seeded cluster
 148   Double_t  fkRoad1z;                // Road in z for seeded cluster
 149
 150   Double_t  fkRoad2y;                // Road in y for extrapolated cluster
 151   Double_t  fkRoad2z;                // Road in z for extrapolated cluster
 152   Double_t  fkPtThreshold;           // pt threshold for using TRD points for updating Kalaman track
 153   Double_t  fkPlaneQualityThreshold; // Quality threshold
 154   Double_t  fkRoadzMultiplicator;    // Multiplicator for the Roads in z
 155   Double_t  fkFindable;              // minimum ratio of clusters per tracklet supposed to be attached.
 156   Double_t  fkChi2Z;                 // Max chi2 on the z direction for seeding clusters fit
 157   Double_t  fkChi2Y;                 // Max chi2 on the y direction for seeding clusters Rieman fit
 158   Double_t  fkChi2YSlope;            // Slope of the chi2-distribution in y-direction
 159   Double_t  fkChi2ZSlope;            // Slope of the chi2-distribution in z-direction
 160         Double_t  fkChi2YCut;                                                    // Cut on the Chi2 in y-direction in the likelihood filter
 161   Double_t  fkPhiSlope;              // Slope of the distribution of the deviation between track angle and tracklet angle
 162   Double_t  fkNMeanClusters;         // Mean number of clusters per tracklet
 163   Double_t  fkNSigmaClusters;        // Sigma of the number of clusters per tracklet
 164   Double_t  fkNClusterNoise;         // ratio of noisy clusters to the true one
 165   Double_t  fkNMeanTracklets;        // Mean number of tracklets per track
 166   Double_t  fkTrackLikelihood;       // Track likelihood for tracklets Rieman fit
 167
 168   Double_t  fSysCovMatrix[5];        // Systematic uncertainty from calibration and alignment for each tracklet
 169   Double_t  fPIDThreshold[AliTRDCalPID::kNMom];   // PID Thresholds for Electron candidate decision
 170
 171   // Reconstruction Options for TRD reconstruction
 172   Int_t     fStreamLevel[kTRDreconstructionTasks]; // Stream Level
 173   Long64_t  fFlags;                  // option Flags
 174
 175   // Raw Reader Params
 176   TString   fRawStreamVersion;       // Raw Reader version
 177
 178   // Clusterization parameter
 179   Double_t  fMinMaxCutSigma;         // Threshold sigma noise pad middle
 180   Double_t  fMinLeftRightCutSigma;   // Threshold sigma noise sum pad
 181   Double_t  fClusMaxThresh;          // Threshold value for cluster maximum
 182   Double_t  fClusSigThresh;          // Threshold value for cluster signal
 183   Int_t     fTCnexp;                 // Number of exponentials, digital filter
 184   Double_t  fTCParams[8];            // Tail Cancellation parameters for drift gases
 185
 186   // ADC parameter
 187   Int_t     fNumberOfPresamples;     // number of presamples
 188   Int_t     fNumberOfPostsamples;     // number of postsamples
 189
 190   ClassDef(AliTRDrecoParam, 11)       // Reconstruction parameters for TRD detector
 191
 192 };
 193
 194 //___________________________________________________
 195 inline void AliTRDrecoParam::GetSysCovMatrix(Double_t *sys) const
 196 {
 197   if(!sys) return;
 198   memcpy(sys, fSysCovMatrix, 5*sizeof(Double_t));
 199 }
 200
 201 //___________________________________________________
 202 inline void AliTRDrecoParam::SetSysCovMatrix(Double_t *sys)
 203 {
 204   if(!sys) return;
 205   memcpy(fSysCovMatrix, sys, 5*sizeof(Double_t));
 206 }
 207
 208 //___________________________________________________
 209 inline void AliTRDrecoParam::SetPIDThreshold(Double_t *pid)
 210 {
 211   if(!pid) return;
 212   memcpy(fPIDThreshold, pid, AliTRDCalPID::kNMom*sizeof(Double_t));
 213 }
 214
 215 //___________________________________________________
 216 inline void AliTRDrecoParam::SetStreamLevel(ETRDReconstructionTask task, Int_t level){
 217   if(task >= kTRDreconstructionTasks) return;
 218   fStreamLevel[static_cast<Int_t>(task)] = level;
 219 }
 220
 221 //___________________________________________________
 222 inline Int_t AliTRDrecoParam::GetStreamLevel(ETRDReconstructionTask task) const{
 223   if(task >= kTRDreconstructionTasks) return 0;
 224   return fStreamLevel[static_cast<Int_t>(task)];
 225 }
 226
 227 //___________________________________________________
 228 inline void AliTRDrecoParam::GetTCParams(Double_t *par) const
 229 {
 230   if(!par) return;
 231   if(IsArgon()) memcpy(par, &fTCParams[4], 4*sizeof(Double_t));
 232   else memcpy(par, &fTCParams[0], 4*sizeof(Double_t));
 233 }
 234
 235 //___________________________________________________
 236 inline void AliTRDrecoParam::SetTCParams(Double_t *par)
 237 {
 238   if(!par) return;
 239   memcpy(fTCParams, par, 8*sizeof(Double_t));
 240 }
 241
 242 //___________________________________________________
 243 inline Int_t AliTRDrecoParam::GetPIDLQslices() const
 244 {
 245   if(IsPIDNeuralNetwork()) return -1;
 246   return TESTBIT(fFlags, kLQ2D) ? 2 : 1;
 247 }
 248
 249 #endif