X-Git-Url: http://git.uio.no/git/?a=blobdiff_plain;f=MUON%2FAliMUONRecoParam.h;h=798143c2b144afcc88cae85b138ddddba98b36b9;hb=1dd09aa3c13c861c019608feac4fe0595b021321;hp=0c618346ba0f6d20366bb646db46ea02cd1520ff;hpb=15d30ed49c0118c7b2efe3f68ab04ab2e5d148a1;p=u%2Fmrichter%2FAliRoot.git diff --git a/MUON/AliMUONRecoParam.h b/MUON/AliMUONRecoParam.h index 0c618346ba0..798143c2b14 100644 --- a/MUON/AliMUONRecoParam.h +++ b/MUON/AliMUONRecoParam.h @@ -1,8 +1,10 @@ -#ifndef AliMUONRecoParam_H -#define AliMUONRecoParam_H +#ifndef ALIMUONRECOPARAM_H +#define ALIMUONRECOPARAM_H /* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * * See cxx source for full Copyright notice */ +// $Id$ + /// \ingroup rec /// \class AliMUONRecoParam /// \brief Class with MUON reconstruction parameters @@ -11,6 +13,7 @@ #include "AliDetectorRecoParam.h" #include "TString.h" +#include class AliMUONRecoParam : public AliDetectorRecoParam { @@ -20,14 +23,20 @@ class AliMUONRecoParam : public AliDetectorRecoParam static AliMUONRecoParam *GetLowFluxParam(); static AliMUONRecoParam *GetHighFluxParam(); + static AliMUONRecoParam *GetCosmicParam(); + + /// set the calibration mode (see GetCalibrationMode() for possible modes) + void SetCalibrationMode(Option_t* mode) { fCalibrationMode = mode; fCalibrationMode.ToUpper();} + + Option_t* GetCalibrationMode() const; /// set the clustering (pre-clustering) mode - void SetClusteringMode(Option_t* mode) {fClusteringMode = mode;} + void SetClusteringMode(Option_t* mode) {fClusteringMode = mode; fClusteringMode.ToUpper();} /// get the clustering (pre-clustering) mode Option_t* GetClusteringMode() const {return fClusteringMode.Data();} /// set the tracking mode - void SetTrackingMode(Option_t* mode) {fTrackingMode = mode;} + void SetTrackingMode(Option_t* mode) {fTrackingMode = mode; fTrackingMode.ToUpper();} /// get the tracking mode Option_t* GetTrackingMode() const {return fTrackingMode.Data();} @@ -36,6 +45,14 @@ class AliMUONRecoParam : public AliDetectorRecoParam /// return kTRUE/kFALSE if the combined cluster/track reconstruction is on/off Bool_t CombineClusterTrackReco() const {return fCombinedClusterTrackReco;} + /// save all cluster info (including pads) in ESD, for the given percentage of events + void SaveFullClusterInESD(Bool_t flag, Double_t percentOfEvent = 100.) {fSaveFullClusterInESD = flag; + fPercentOfFullClusterInESD = (fSaveFullClusterInESD) ? percentOfEvent : 0.;} + /// return kTRUE/kFALSE depending on whether we save all cluster info in ESD or not + Bool_t SaveFullClusterInESD() const {return fSaveFullClusterInESD;} + /// return the percentage of events for which all cluster info are stored in ESD + Double_t GetPercentOfFullClusterInESD() const {return fPercentOfFullClusterInESD;} + /// set the minimum value (GeV/c) of momentum in bending plane void SetMinBendingMomentum(Double_t val) {fMinBendingMomentum = val;} /// return the minimum value (GeV/c) of momentum in bending plane @@ -45,11 +62,25 @@ class AliMUONRecoParam : public AliDetectorRecoParam /// return the maximum value (GeV/c) of momentum in bending plane Double_t GetMaxBendingMomentum() const {return fMaxBendingMomentum;} + /// set the maximum value of the non bending slope + void SetMaxNonBendingSlope(Double_t val) {fMaxNonBendingSlope = val;} + /// return the maximum value of the non bending slope + Double_t GetMaxNonBendingSlope() const {return fMaxNonBendingSlope;} + /// set the maximum value of the bending slope + void SetMaxBendingSlope(Double_t val) {fMaxBendingSlope = val;} + /// return the maximum value of the bending slope + Double_t GetMaxBendingSlope() const {return fMaxBendingSlope;} + + /// switch on/off the track selection according to their slope (instead of their impact parameter) + void SelectOnTrackSlope(Bool_t flag) {fSelectTrackOnSlope = flag;} + /// return kTRUE/kFALSE if tracks are selected according to their slope/impact parameter + Bool_t SelectOnTrackSlope() const {return fSelectTrackOnSlope;} + /// set the vertex dispersion (cm) in non bending plane (used for original tracking only) void SetNonBendingVertexDispersion(Double_t val) {fNonBendingVertexDispersion = val;} - /// return the vertex dispersion (cm) in bending plane (used for original tracking only) + /// return the vertex dispersion (cm) in non bending plane (used for original tracking only) Double_t GetNonBendingVertexDispersion() const {return fNonBendingVertexDispersion;} - /// set the vertex dispersion (cm) in non bending plane (used for original tracking only) + /// set the vertex dispersion (cm) in bending plane (used for original tracking only) void SetBendingVertexDispersion(Double_t val) {fBendingVertexDispersion = val;} /// return the vertex dispersion (cm) in bending plane (used for original tracking only) Double_t GetBendingVertexDispersion() const {return fBendingVertexDispersion;} @@ -76,11 +107,19 @@ class AliMUONRecoParam : public AliDetectorRecoParam Bool_t ImproveTracks() const {return fImproveTracks;} /// return the cut in sigma to apply on cluster (local chi2) during track improvement Double_t GetSigmaCutForImprovement() const {return fSigmaCutForImprovement;} - + /// set the cut in sigma to apply on track during trigger hit pattern search void SetSigmaCutForTrigger(Double_t val) {fSigmaCutForTrigger = val;} /// return the cut in sigma to apply on track during trigger hit pattern search Double_t GetSigmaCutForTrigger() const {return fSigmaCutForTrigger;} + /// set the cut in strips to apply on trigger track during trigger chamber efficiency + void SetStripCutForTrigger(Double_t val) {fStripCutForTrigger = val;} + /// return the cut in strips to apply on trigger track during trigger chamber efficiency + Double_t GetStripCutForTrigger() const {return fStripCutForTrigger;} + /// set the maximum search area in strips to apply on trigger track during trigger chamber efficiency + void SetMaxStripAreaForTrigger(Double_t val) {fMaxStripAreaForTrigger = val;} + /// return the maximum search area in strips to apply on trigger track during trigger chamber efficiency + Double_t GetMaxStripAreaForTrigger() const {return fMaxStripAreaForTrigger;} /// set the maximum normalized chi2 of tracking/trigger track matching void SetMaxNormChi2MatchTrigger(Double_t val) {fMaxNormChi2MatchTrigger = val;} @@ -102,19 +141,137 @@ class AliMUONRecoParam : public AliDetectorRecoParam /// return kTRUE/kFALSE if the fast building of track candidates is switched on/off Bool_t MakeTrackCandidatesFast() const {return fMakeTrackCandidatesFast;} + /// switch on/off the building of track candidates starting from 1 cluster in each of the stations 4 and 5 + void MakeMoreTrackCandidates(Bool_t flag) {fMakeMoreTrackCandidates = flag;} + /// return kTRUE/kFALSE if the building of extra track candidates is switched on/off + Bool_t MakeMoreTrackCandidates() const {return fMakeMoreTrackCandidates;} + /// switch on/off the completion of reconstructed track void ComplementTracks(Bool_t flag) {fComplementTracks = flag;} /// return kTRUE/kFALSE if completion of the reconstructed track is switched on/off Bool_t ComplementTracks() const {return fComplementTracks;} + /// remove tracks sharing cluster in stations 1 or 2 + void RemoveConnectedTracksInSt12(Bool_t flag) {fRemoveConnectedTracksInSt12 = flag;} + /// return kTRUE/kFALSE whether tracks sharing cluster in station 1 and 2 must be removed or not + Bool_t RemoveConnectedTracksInSt12() const {return fRemoveConnectedTracksInSt12;} + /// switch on/off the use of the smoother void UseSmoother(Bool_t flag) {fUseSmoother = flag;} /// return kTRUE/kFALSE if the use of the smoother is switched on/off Bool_t UseSmoother() const {return fUseSmoother;} + /// switch on/off a chamber in the reconstruction + void UseChamber(Int_t iCh, Bool_t flag) {if (iCh >= 0 && iCh < 10) fUseChamber[iCh] = flag;} + /// return kTRUE/kFALSE whether the chamber must be used or not + Bool_t UseChamber(Int_t iCh) const {return (iCh >= 0 && iCh < 10) ? fUseChamber[iCh] : kFALSE;} + + /// request or not at least one cluster in the station to validate the track + void RequestStation(Int_t iSt, Bool_t flag) {if (iSt >= 0 && iSt < 5) fRequestStation[iSt] = flag;} + /// return kTRUE/kFALSE whether at least one cluster is requested in the station to validate the track + Bool_t RequestStation(Int_t iSt) const {return (iSt >= 0 && iSt < 5) ? fRequestStation[iSt] : kFALSE;} + /// return an integer where first 5 bits are set to 1 if the corresponding station is requested + UInt_t RequestedStationMask() const; + + /// set the bypassSt45 value + void BypassSt45(Bool_t st4, Bool_t st5); + + /// return kTRUE if we should replace clusters in St 4 and 5 by generated clusters from trigger tracks + Bool_t BypassSt45() const { return fBypassSt45==45; } + + /// return kTRUE if we should replace clusters in St 4 by generated clusters from trigger tracks + Bool_t BypassSt4() const { return BypassSt45() || fBypassSt45==4 ; } + + /// return kTRUE if we should replace clusters in St 5 by generated clusters from trigger tracks + Bool_t BypassSt5() const { return BypassSt45() || fBypassSt45==5 ; } + + /// Set Low and High threshold for St12 HV + void SetHVSt12Limits(float low, float high) { fHVSt12Limits[0]=low; fHVSt12Limits[1]=high; } + /// Retrieve low limit for St12's HV + Float_t HVSt12LowLimit() const { return fHVSt12Limits[0]; } + /// Retrieve high limit for St12's HV + Float_t HVSt12HighLimit() const { return fHVSt12Limits[1]; } + + /// Set Low and High threshold for St345 HV + void SetHVSt345Limits(float low, float high) { fHVSt345Limits[0]=low; fHVSt345Limits[1]=high; } + /// Retrieve low limit for St345's HV + Float_t HVSt345LowLimit() const { return fHVSt345Limits[0]; } + /// Retrieve high limit for St345's HV + Float_t HVSt345HighLimit() const { return fHVSt345Limits[1]; } + + /// Set Low and High threshold for pedestal mean + void SetPedMeanLimits(float low, float high) { fPedMeanLimits[0]=low; fPedMeanLimits[1]=high; } + /// Retrieve low limit of ped mean + Float_t PedMeanLowLimit() const { return fPedMeanLimits[0]; } + /// Retrieve high limit of ped mean + Float_t PedMeanHighLimit() const { return fPedMeanLimits[1]; } + + /// Set Low and High threshold for pedestal sigma + void SetPedSigmaLimits(float low, float high) { fPedSigmaLimits[0]=low; fPedSigmaLimits[1]=high; } + /// Retrieve low limit of ped sigma + Float_t PedSigmaLowLimit() const { return fPedSigmaLimits[0]; } + /// Retrieve high limit of ped sigma + Float_t PedSigmaHighLimit() const { return fPedSigmaLimits[1]; } + + /// Set Low and High threshold for gain a0 term + void SetGainA1Limits(float low, float high) { fGainA1Limits[0]=low; fGainA1Limits[1]=high; } + /// Retrieve low limit of a1 (linear term) gain parameter + Float_t GainA1LowLimit() const { return fGainA1Limits[0]; } + /// Retrieve high limit of a1 (linear term) gain parameter + Float_t GainA1HighLimit() const { return fGainA1Limits[1]; } + + /// Set Low and High threshold for gain a1 term + void SetGainA2Limits(float low, float high) { fGainA2Limits[0]=low; fGainA2Limits[1]=high; } + /// Retrieve low limit of a2 (quadratic term) gain parameter + Float_t GainA2LowLimit() const { return fGainA2Limits[0]; } + /// Retrieve high limit of a2 (quadratic term) gain parameter + Float_t GainA2HighLimit() const { return fGainA2Limits[1]; } + + /// Set Low and High threshold for gain threshold term + void SetGainThresLimits(float low, float high) { fGainThresLimits[0]=low; fGainThresLimits[1]=high; } + /// Retrieve low limit on threshold gain parameter + Float_t GainThresLowLimit() const { return fGainThresLimits[0]; } + /// Retrieve high limit on threshold gain parameter + Float_t GainThresHighLimit() const { return fGainThresLimits[1]; } + + /// Set the goodness mask (see AliMUONPadStatusMapMaker) + void SetPadGoodnessMask(UInt_t mask) { fPadGoodnessMask=mask; } + /// Get the goodness mask + UInt_t PadGoodnessMask() const { return fPadGoodnessMask; } + + /// Number of sigma cut we must apply when cutting on adc-ped + Double_t ChargeSigmaCut() const { return fChargeSigmaCut; } + + /// Number of sigma cut we must apply when cutting on adc-ped + void ChargeSigmaCut(Double_t value) { fChargeSigmaCut=value; } + + /// Set the default non bending resolution of chamber iCh + void SetDefaultNonBendingReso(Int_t iCh, Double_t val) {if (iCh >= 0 && iCh < 10) fDefaultNonBendingReso[iCh] = val;} + /// Get the default non bending resolution of chamber iCh + Double_t GetDefaultNonBendingReso(Int_t iCh) const {return (iCh >= 0 && iCh < 10) ? fDefaultNonBendingReso[iCh] : FLT_MAX;} + /// Set the default bending resolution of chamber iCh + void SetDefaultBendingReso(Int_t iCh, Double_t val) {if (iCh >= 0 && iCh < 10) fDefaultBendingReso[iCh] = val;} + /// Get the default bending resolution of chamber iCh + Double_t GetDefaultBendingReso(Int_t iCh) const {return (iCh >= 0 && iCh < 10) ? fDefaultBendingReso[iCh] : FLT_MAX;} + + /// Set the maximum number of trigger tracks above which the tracking is cancelled + void SetMaxTriggerTracks(Int_t maxTriggerTracks) {fMaxTriggerTracks = maxTriggerTracks;} + /// Get the maximum number of trigger tracks above which the tracking is cancelled + Int_t GetMaxTriggerTracks() const {return fMaxTriggerTracks;} + + /// Set the maximum number of track candidates above which the tracking abort + void SetMaxTrackCandidates(Int_t maxTrackCandidates) {fMaxTrackCandidates = maxTrackCandidates;} + /// Get the maximum number of track candidates above which the tracking abort + Int_t GetMaxTrackCandidates() const {return fMaxTrackCandidates;} + virtual void Print(Option_t *option = "") const; + private: + + void SetDefaultLimits(); + + private: /// clustering mode: NOCLUSTERING, PRECLUSTER, PRECLUSTERV2, PRECLUSTERV3, COG,
@@ -126,6 +283,8 @@ class AliMUONRecoParam : public AliDetectorRecoParam
   
   Double32_t fMinBendingMomentum; ///< minimum value (GeV/c) of momentum in bending plane
   Double32_t fMaxBendingMomentum; ///< maximum value (GeV/c) of momentum in bending plane
+  Double32_t fMaxNonBendingSlope; ///< maximum value of the non bending slope
+  Double32_t fMaxBendingSlope;    ///< maximum value of the bending slope (used only if B = 0)
   
   Double32_t fNonBendingVertexDispersion; ///< vertex dispersion (cm) in non bending plane (used for original tracking only)
   Double32_t fBendingVertexDispersion;    ///< vertex dispersion (cm) in bending plane (used for original tracking only)
@@ -138,9 +297,15 @@ class AliMUONRecoParam : public AliDetectorRecoParam
   Double32_t fSigmaCutForImprovement; ///< cut in sigma to apply on cluster (local chi2) during track improvement
   
   Double32_t fSigmaCutForTrigger; ///< cut in sigma to apply on track during trigger hit pattern search
+
+  Double32_t fStripCutForTrigger; ///< cut in strips to apply on trigger track during trigger chamber efficiency
+
+  Double32_t fMaxStripAreaForTrigger; ///< max. search area in strips to apply on trigger track during trigger chamber efficiency
   
   Double32_t fMaxNormChi2MatchTrigger; ///< maximum normalized chi2 of tracking/trigger track matching
   
+  Double32_t fPercentOfFullClusterInESD; ///< percentage of events for which all cluster info are stored in ESD
+  
   Bool_t     fCombinedClusterTrackReco; ///< switch on/off the combined cluster/track reconstruction
   
   Bool_t     fTrackAllTracks; ///< kTRUE to track all the possible candidates; kFALSE to track only the best ones
@@ -149,19 +314,54 @@ class AliMUONRecoParam : public AliDetectorRecoParam
   
   Bool_t     fMakeTrackCandidatesFast; ///< kTRUE to make candidate tracks assuming linear propagation between stations 4 and 5
   
+  Bool_t     fMakeMoreTrackCandidates; ///< kTRUE to make candidate tracks starting from 1 cluster in each of the stations 4 and 5
+  
   Bool_t     fComplementTracks; ///< kTRUE to try to complete the reconstructed tracks by adding missing clusters
   
   Bool_t     fImproveTracks; ///< kTRUE to try to improve the reconstructed tracks by removing bad clusters
   
   Bool_t     fUseSmoother; ///< kTRUE to use the smoother to compute track parameters/covariances and local chi2 at each cluster (used for Kalman tracking only)
   
+  Bool_t     fSaveFullClusterInESD; ///< kTRUE to save all cluster info (including pads) in ESD
+  
+  /// calibration mode:  GAIN, NOGAIN, GAINCONSTANTCAPA
+  TString    fCalibrationMode; ///<\brief calibration mode
+  
+  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
+  
+  Bool_t     fUseChamber[10]; ///< kTRUE to use the chamber i in the tracking algorithm
+  
+  Bool_t     fRequestStation[5]; ///< kTRUE to request at least one cluster in station i to validate the track
+  
+  Double32_t fGainA1Limits[2]; ///< Low and High threshold for gain a0 parameter
+  Double32_t fGainA2Limits[2]; ///< Low and High threshold for gain a1 parameter
+  Double32_t fGainThresLimits[2]; ///< Low and High threshold for gain threshold parameter
+  Double32_t fHVSt12Limits[2]; ///< Low and High threshold for St12 HV
+  Double32_t fHVSt345Limits[2]; ///< Low and High threshold for St345 HV
+  Double32_t fPedMeanLimits[2]; ///< Low and High threshold for pedestal mean
+  Double32_t fPedSigmaLimits[2]; ///< Low and High threshold for pedestal sigma
+  
+  UInt_t     fPadGoodnessMask; ///< goodness mask (see AliMUONPadStatusMaker)
+  
+  Double32_t fChargeSigmaCut; ///< number of sigma to cut on adc-ped 
+  
+  Double32_t fDefaultNonBendingReso[10]; ///< default chamber resolution in the non-bending direction
+  Double32_t fDefaultBendingReso[10]; ///< default chamber resolution in the bending direction
+  
+  Bool_t     fRemoveConnectedTracksInSt12; ///< kTRUE to remove tracks sharing cluster in station 1 and 2
+  
+  Int_t      fMaxTriggerTracks; ///< maximum number of trigger tracks above which the tracking is cancelled
+  Int_t      fMaxTrackCandidates; ///< maximum number of track candidates above which the tracking abort
+  
+  Bool_t     fSelectTrackOnSlope; ///< select track candidates according to their slope (instead of their impact parameter)
   
   // functions
   void SetLowFluxParam();
   void SetHighFluxParam();
+  void SetCosmicParam();
   
   
-  ClassDef(AliMUONRecoParam,1) // MUON reco parameters
+  ClassDef(AliMUONRecoParam,13) // MUON reco parameters
 };
 
 #endif