1 #ifndef AliMUONRecoParam_H
2 #define AliMUONRecoParam_H
3 /* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * See cxx source for full Copyright notice */
9 /// \class AliMUONRecoParam
10 /// \brief Class with MUON reconstruction parameters
12 // Author: Philippe Pillot
14 #include "AliDetectorRecoParam.h"
17 class AliMUONRecoParam : public AliDetectorRecoParam
21 virtual ~AliMUONRecoParam();
23 static AliMUONRecoParam *GetLowFluxParam();
24 static AliMUONRecoParam *GetHighFluxParam();
25 static AliMUONRecoParam *GetCosmicParam();
27 /// set the calibration mode (see GetCalibrationMode() for possible modes)
28 void SetCalibrationMode(Option_t* mode) { fCalibrationMode = mode; fCalibrationMode.ToUpper();}
30 Option_t* GetCalibrationMode() const;
32 /// set the clustering (pre-clustering) mode
33 void SetClusteringMode(Option_t* mode) {fClusteringMode = mode; fClusteringMode.ToUpper();}
34 /// get the clustering (pre-clustering) mode
35 Option_t* GetClusteringMode() const {return fClusteringMode.Data();}
37 /// set the tracking mode
38 void SetTrackingMode(Option_t* mode) {fTrackingMode = mode; fTrackingMode.ToUpper();}
39 /// get the tracking mode
40 Option_t* GetTrackingMode() const {return fTrackingMode.Data();}
42 /// switch on/off the combined cluster/track reconstruction
43 void CombineClusterTrackReco(Bool_t flag) {fCombinedClusterTrackReco = flag;}
44 /// return kTRUE/kFALSE if the combined cluster/track reconstruction is on/off
45 Bool_t CombineClusterTrackReco() const {return fCombinedClusterTrackReco;}
47 /// save all cluster info (including pads) in ESD, for the given percentage of events
48 void SaveFullClusterInESD(Bool_t flag, Double_t percentOfEvent = 100.) {fSaveFullClusterInESD = flag;
49 fPercentOfFullClusterInESD = (fSaveFullClusterInESD) ? percentOfEvent : 0.;}
50 /// return kTRUE/kFALSE depending on whether we save all cluster info in ESD or not
51 Bool_t SaveFullClusterInESD() const {return fSaveFullClusterInESD;}
52 /// return the percentage of events for which all cluster info are stored in ESD
53 Double_t GetPercentOfFullClusterInESD() const {return fPercentOfFullClusterInESD;}
55 /// set the minimum value (GeV/c) of momentum in bending plane
56 void SetMinBendingMomentum(Double_t val) {fMinBendingMomentum = val;}
57 /// return the minimum value (GeV/c) of momentum in bending plane
58 Double_t GetMinBendingMomentum() const {return fMinBendingMomentum;}
59 /// set the maximum value (GeV/c) of momentum in bending plane
60 void SetMaxBendingMomentum(Double_t val) {fMaxBendingMomentum = val;}
61 /// return the maximum value (GeV/c) of momentum in bending plane
62 Double_t GetMaxBendingMomentum() const {return fMaxBendingMomentum;}
63 /// set the maximum value of the non bending slope
64 void SetMaxNonBendingSlope(Double_t val) {fMaxNonBendingSlope = val;}
65 /// return the maximum value of the non bending slope
66 Double_t GetMaxNonBendingSlope() const {return fMaxNonBendingSlope;}
67 /// set the maximum value of the bending slope
68 void SetMaxBendingSlope(Double_t val) {fMaxBendingSlope = val;}
69 /// return the maximum value of the bending slope
70 Double_t GetMaxBendingSlope() const {return fMaxBendingSlope;}
72 /// set the vertex dispersion (cm) in non bending plane (used for original tracking only)
73 void SetNonBendingVertexDispersion(Double_t val) {fNonBendingVertexDispersion = val;}
74 /// return the vertex dispersion (cm) in non bending plane (used for original tracking only)
75 Double_t GetNonBendingVertexDispersion() const {return fNonBendingVertexDispersion;}
76 /// set the vertex dispersion (cm) in bending plane (used for original tracking only)
77 void SetBendingVertexDispersion(Double_t val) {fBendingVertexDispersion = val;}
78 /// return the vertex dispersion (cm) in bending plane (used for original tracking only)
79 Double_t GetBendingVertexDispersion() const {return fBendingVertexDispersion;}
81 /// set the maximum distance to the track to search for compatible cluster(s) in non bending direction
82 void SetMaxNonBendingDistanceToTrack(Double_t val) {fMaxNonBendingDistanceToTrack = val;}
83 /// return the maximum distance to the track to search for compatible cluster(s) in non bending direction
84 Double_t GetMaxNonBendingDistanceToTrack() const {return fMaxNonBendingDistanceToTrack;}
85 /// set the maximum distance to the track to search for compatible cluster(s) in bending direction
86 void SetMaxBendingDistanceToTrack(Double_t val) {fMaxBendingDistanceToTrack = val;}
87 /// return the maximum distance to the track to search for compatible cluster(s) in bending direction
88 Double_t GetMaxBendingDistanceToTrack() const {return fMaxBendingDistanceToTrack;}
90 /// set the cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
91 void SetSigmaCutForTracking(Double_t val) {fSigmaCutForTracking = val;}
92 /// return the cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
93 Double_t GetSigmaCutForTracking() const {return fSigmaCutForTracking;}
95 /// switch on/off the track improvement and keep the default cut in sigma to apply on cluster (local chi2)
96 void ImproveTracks(Bool_t flag) {fImproveTracks = flag;}
97 /// switch on/off the track improvement and set the cut in sigma to apply on cluster (local chi2)
98 void ImproveTracks(Bool_t flag, Double_t sigmaCut) {fImproveTracks = flag; fSigmaCutForImprovement = sigmaCut;}
99 /// return kTRUE/kFALSE if the track improvement is switch on/off
100 Bool_t ImproveTracks() const {return fImproveTracks;}
101 /// return the cut in sigma to apply on cluster (local chi2) during track improvement
102 Double_t GetSigmaCutForImprovement() const {return fSigmaCutForImprovement;}
104 /// set the cut in sigma to apply on track during trigger hit pattern search
105 void SetSigmaCutForTrigger(Double_t val) {fSigmaCutForTrigger = val;}
106 /// return the cut in sigma to apply on track during trigger hit pattern search
107 Double_t GetSigmaCutForTrigger() const {return fSigmaCutForTrigger;}
108 /// set the cut in strips to apply on trigger track during trigger chamber efficiency
109 void SetStripCutForTrigger(Double_t val) {fStripCutForTrigger = val;}
110 /// return the cut in strips to apply on trigger track during trigger chamber efficiency
111 Double_t GetStripCutForTrigger() const {return fStripCutForTrigger;}
112 /// set the maximum search area in strips to apply on trigger track during trigger chamber efficiency
113 void SetMaxStripAreaForTrigger(Double_t val) {fMaxStripAreaForTrigger = val;}
114 /// return the maximum search area in strips to apply on trigger track during trigger chamber efficiency
115 Double_t GetMaxStripAreaForTrigger() const {return fMaxStripAreaForTrigger;}
117 /// set the maximum normalized chi2 of tracking/trigger track matching
118 void SetMaxNormChi2MatchTrigger(Double_t val) {fMaxNormChi2MatchTrigger = val;}
119 /// return the maximum normalized chi2 of tracking/trigger track matching
120 Double_t GetMaxNormChi2MatchTrigger() const {return fMaxNormChi2MatchTrigger;}
122 /// switch on/off the tracking of all the possible candidates (track only the best one if switched off)
123 void TrackAllTracks(Bool_t flag) {fTrackAllTracks = flag;}
124 /// return kTRUE/kFALSE if the tracking of all the possible candidates is switched on/off
125 Bool_t TrackAllTracks() const {return fTrackAllTracks;}
127 /// switch on/off the recovering of tracks being lost during reconstruction
128 void RecoverTracks(Bool_t flag) {fRecoverTracks = flag;}
129 /// return kTRUE/kFALSE if the recovering of tracks being lost during reconstruction is switched on/off
130 Bool_t RecoverTracks() const {return fRecoverTracks;}
132 /// switch on/off the fast building of track candidates (assuming linear propagation between stations 4 and 5)
133 void MakeTrackCandidatesFast(Bool_t flag) {fMakeTrackCandidatesFast = flag;}
134 /// return kTRUE/kFALSE if the fast building of track candidates is switched on/off
135 Bool_t MakeTrackCandidatesFast() const {return fMakeTrackCandidatesFast;}
137 /// switch on/off the building of track candidates starting from 1 cluster in each of the stations 4 and 5
138 void MakeMoreTrackCandidates(Bool_t flag) {fMakeMoreTrackCandidates = flag;}
139 /// return kTRUE/kFALSE if the building of extra track candidates is switched on/off
140 Bool_t MakeMoreTrackCandidates() const {return fMakeMoreTrackCandidates;}
142 /// switch on/off the completion of reconstructed track
143 void ComplementTracks(Bool_t flag) {fComplementTracks = flag;}
144 /// return kTRUE/kFALSE if completion of the reconstructed track is switched on/off
145 Bool_t ComplementTracks() const {return fComplementTracks;}
147 /// switch on/off the use of the smoother
148 void UseSmoother(Bool_t flag) {fUseSmoother = flag;}
149 /// return kTRUE/kFALSE if the use of the smoother is switched on/off
150 Bool_t UseSmoother() const {return fUseSmoother;}
152 /// switch on/off a chamber in the reconstruction
153 void UseChamber(Int_t iCh, Bool_t flag) {if (iCh >= 0 && iCh < 10) fUseChamber[iCh] = flag;}
154 /// return kTRUE/kFALSE whether the chamber must be used or not
155 Bool_t UseChamber(Int_t iCh) const {return (iCh >= 0 && iCh < 10) ? fUseChamber[iCh] : kFALSE;}
157 /// request or not at least one cluster in the station to validate the track
158 void RequestStation(Int_t iSt, Bool_t flag) {if (iSt >= 0 && iSt < 5) fRequestStation[iSt] = flag;}
159 /// return kTRUE/kFALSE whether at least one cluster is requested in the station to validate the track
160 Bool_t RequestStation(Int_t iSt) const {return (iSt >= 0 && iSt < 5) ? fRequestStation[iSt] : kFALSE;}
161 /// return an integer where first 5 bits are set to 1 if the corresponding station is requested
162 UInt_t RequestedStationMask() const;
164 /// set the bypassSt45 value
165 void BypassSt45(Bool_t st4, Bool_t st5);
167 /// return kTRUE if we should replace clusters in St 4 and 5 by generated clusters from trigger tracks
168 Bool_t BypassSt45() const { return fBypassSt45==45; }
170 /// return kTRUE if we should replace clusters in St 4 by generated clusters from trigger tracks
171 Bool_t BypassSt4() const { return BypassSt45() || fBypassSt45==4 ; }
173 /// return kTRUE if we should replace clusters in St 5 by generated clusters from trigger tracks
174 Bool_t BypassSt5() const { return BypassSt45() || fBypassSt45==5 ; }
176 /// Set Low and High threshold for St12 HV
177 void SetHVSt12Limits(float low, float high) { fHVSt12Limits[0]=low; fHVSt12Limits[1]=high; }
178 /// Retrieve low limit for St12's HV
179 Float_t HVSt12LowLimit() const { return fHVSt12Limits[0]; }
180 /// Retrieve high limit for St12's HV
181 Float_t HVSt12HighLimit() const { return fHVSt12Limits[1]; }
183 /// Set Low and High threshold for St345 HV
184 void SetHVSt345Limits(float low, float high) { fHVSt345Limits[0]=low; fHVSt345Limits[1]=high; }
185 /// Retrieve low limit for St345's HV
186 Float_t HVSt345LowLimit() const { return fHVSt345Limits[0]; }
187 /// Retrieve high limit for St345's HV
188 Float_t HVSt345HighLimit() const { return fHVSt345Limits[1]; }
190 /// Set Low and High threshold for pedestal mean
191 void SetPedMeanLimits(float low, float high) { fPedMeanLimits[0]=low; fPedMeanLimits[1]=high; }
192 /// Retrieve low limit of ped mean
193 Float_t PedMeanLowLimit() const { return fPedMeanLimits[0]; }
194 /// Retrieve high limit of ped mean
195 Float_t PedMeanHighLimit() const { return fPedMeanLimits[1]; }
197 /// Set Low and High threshold for pedestal sigma
198 void SetPedSigmaLimits(float low, float high) { fPedSigmaLimits[0]=low; fPedSigmaLimits[1]=high; }
199 /// Retrieve low limit of ped sigma
200 Float_t PedSigmaLowLimit() const { return fPedSigmaLimits[0]; }
201 /// Retrieve high limit of ped sigma
202 Float_t PedSigmaHighLimit() const { return fPedSigmaLimits[1]; }
204 /// Set Low and High threshold for gain a0 term
205 void SetGainA1Limits(float low, float high) { fGainA1Limits[0]=low; fGainA1Limits[1]=high; }
206 /// Retrieve low limit of a1 (linear term) gain parameter
207 Float_t GainA1LowLimit() const { return fGainA1Limits[0]; }
208 /// Retrieve high limit of a1 (linear term) gain parameter
209 Float_t GainA1HighLimit() const { return fGainA1Limits[1]; }
211 /// Set Low and High threshold for gain a1 term
212 void SetGainA2Limits(float low, float high) { fGainA2Limits[0]=low; fGainA2Limits[1]=high; }
213 /// Retrieve low limit of a2 (quadratic term) gain parameter
214 Float_t GainA2LowLimit() const { return fGainA2Limits[0]; }
215 /// Retrieve high limit of a2 (quadratic term) gain parameter
216 Float_t GainA2HighLimit() const { return fGainA2Limits[1]; }
218 /// Set Low and High threshold for gain threshold term
219 void SetGainThresLimits(float low, float high) { fGainThresLimits[0]=low; fGainThresLimits[1]=high; }
220 /// Retrieve low limit on threshold gain parameter
221 Float_t GainThresLowLimit() const { return fGainThresLimits[0]; }
222 /// Retrieve high limit on threshold gain parameter
223 Float_t GainThresHighLimit() const { return fGainThresLimits[1]; }
225 /// Set the goodness mask (see AliMUONPadStatusMapMaker)
226 void SetPadGoodnessMask(UInt_t mask) { fPadGoodnessMask=mask; }
227 /// Get the goodness mask
228 UInt_t PadGoodnessMask() const { return fPadGoodnessMask; }
230 virtual void Print(Option_t *option = "") const;
232 /// Number of sigma cut we must apply when cutting on adc-ped
233 Double_t ChargeSigmaCut() const { return fChargeSigmaCut; }
235 /// Number of sigma cut we must apply when cutting on adc-ped
236 void ChargeSigmaCut(Double_t value) { fChargeSigmaCut=value; }
239 void SetDefaultLimits();
243 /// clustering mode: NOCLUSTERING, PRECLUSTER, PRECLUSTERV2, PRECLUSTERV3, COG, <pre>
244 /// SIMPLEFIT, SIMPLEFITV3, MLEM:DRAW, MLEM, MLEMV2, MLEMV3 </pre>
245 TString fClusteringMode; ///< \brief name of the clustering (+ pre-clustering) mode
247 /// tracking mode: ORIGINAL, KALMAN
248 TString fTrackingMode; ///< \brief name of the tracking mode
250 Double32_t fMinBendingMomentum; ///< minimum value (GeV/c) of momentum in bending plane
251 Double32_t fMaxBendingMomentum; ///< maximum value (GeV/c) of momentum in bending plane
252 Double32_t fMaxNonBendingSlope; ///< maximum value of the non bending slope
253 Double32_t fMaxBendingSlope; ///< maximum value of the bending slope (used only if B = 0)
255 Double32_t fNonBendingVertexDispersion; ///< vertex dispersion (cm) in non bending plane (used for original tracking only)
256 Double32_t fBendingVertexDispersion; ///< vertex dispersion (cm) in bending plane (used for original tracking only)
258 Double32_t fMaxNonBendingDistanceToTrack; ///< maximum distance to the track to search for compatible cluster(s) in non bending direction
259 Double32_t fMaxBendingDistanceToTrack; ///< maximum distance to the track to search for compatible cluster(s) in bending direction
261 Double32_t fSigmaCutForTracking; ///< cut in sigma to apply on cluster (local chi2) and track (global chi2) during tracking
263 Double32_t fSigmaCutForImprovement; ///< cut in sigma to apply on cluster (local chi2) during track improvement
265 Double32_t fSigmaCutForTrigger; ///< cut in sigma to apply on track during trigger hit pattern search
267 Double32_t fStripCutForTrigger; ///< cut in strips to apply on trigger track during trigger chamber efficiency
269 Double32_t fMaxStripAreaForTrigger; ///< max. search area in strips to apply on trigger track during trigger chamber efficiency
271 Double32_t fMaxNormChi2MatchTrigger; ///< maximum normalized chi2 of tracking/trigger track matching
273 Double32_t fPercentOfFullClusterInESD; ///< percentage of events for which all cluster info are stored in ESD
275 Bool_t fCombinedClusterTrackReco; ///< switch on/off the combined cluster/track reconstruction
277 Bool_t fTrackAllTracks; ///< kTRUE to track all the possible candidates; kFALSE to track only the best ones
279 Bool_t fRecoverTracks; ///< kTRUE to try to recover the tracks getting lost during reconstruction
281 Bool_t fMakeTrackCandidatesFast; ///< kTRUE to make candidate tracks assuming linear propagation between stations 4 and 5
283 Bool_t fMakeMoreTrackCandidates; ///< kTRUE to make candidate tracks starting from 1 cluster in each of the stations 4 and 5
285 Bool_t fComplementTracks; ///< kTRUE to try to complete the reconstructed tracks by adding missing clusters
287 Bool_t fImproveTracks; ///< kTRUE to try to improve the reconstructed tracks by removing bad clusters
289 Bool_t fUseSmoother; ///< kTRUE to use the smoother to compute track parameters/covariances and local chi2 at each cluster (used for Kalman tracking only)
291 Bool_t fSaveFullClusterInESD; ///< kTRUE to save all cluster info (including pads) in ESD
293 /// calibration mode: GAIN, NOGAIN, GAINCONSTANTCAPA
294 TString fCalibrationMode; ///<\brief calibration mode
296 Int_t fBypassSt45; ///< non-zero to use trigger tracks to generate "fake" clusters in St 4 and 5. Can be 0, 4, 5 or 45 only
298 Bool_t fUseChamber[10]; ///< kTRUE to use the chamber i in the tracking algorithm
300 Bool_t fRequestStation[5]; ///< kTRUE to request at least one cluster in station i to validate the track
302 Double32_t fGainA1Limits[2]; ///< Low and High threshold for gain a0 parameter
303 Double32_t fGainA2Limits[2]; ///< Low and High threshold for gain a1 parameter
304 Double32_t fGainThresLimits[2]; ///< Low and High threshold for gain threshold parameter
305 Double32_t fHVSt12Limits[2]; ///< Low and High threshold for St12 HV
306 Double32_t fHVSt345Limits[2]; ///< Low and High threshold for St345 HV
307 Double32_t fPedMeanLimits[2]; ///< Low and High threshold for pedestal mean
308 Double32_t fPedSigmaLimits[2]; ///< Low and High threshold for pedestal sigma
310 UInt_t fPadGoodnessMask; ///< goodness mask (see AliMUONPadStatusMaker)
312 Double_t fChargeSigmaCut; //< number of sigma to cut on adc-ped
315 void SetLowFluxParam();
316 void SetHighFluxParam();
317 void SetCosmicParam();
319 ClassDef(AliMUONRecoParam,9) // MUON reco parameters