avoid warnings with modern compilers due to unused variables or wrong comparison...

[u/mrichter/AliRoot.git] / EMCAL / AliCaloRawAnalyzer.h

diff --git a/EMCAL/AliCaloRawAnalyzer.h b/EMCAL/AliCaloRawAnalyzer.h
index 07cb88468cce5c9a1ab25a38ac85b7da22e86cea..261d5822020b41e355a15088285f95157794a0a5 100644 (file)
--- a/EMCAL/AliCaloRawAnalyzer.h
+++ b/EMCAL/AliCaloRawAnalyzer.h
@@ -19,37 +19,40 @@
  * provided "as is" without express or implied warranty.                  *
  **************************************************************************/
 
-
 //Base class for extraction 
 //of signal amplitude and peak position
 //From CALO Calorimeter RAW data
 
 #include "Rtypes.h"
 #include "TObject.h"
-#define MAXSAMPLES 1008 //CRAP PTH
 #include <vector>
+#include "TObjArray.h"
+#include "AliCaloFitResults.h"
 #include "AliCaloConstants.h"
+using namespace ALTRO;
+using namespace CALO;
 
-//using  namespace CaloConstants::FitAlgorithm;
-//using  CaloConstants::ReturnCodes;
 
 class AliCaloBunchInfo;
-class AliCaloFitResults;
+
 
 class  AliCaloRawAnalyzer : public TObject
 {
- public:
+public:
   AliCaloRawAnalyzer(const char *name="AliCaloRawAnalyzer", const char *nameshort="RawAna");
   virtual ~AliCaloRawAnalyzer();
-  virtual AliCaloFitResults Evaluate( const std::vector<AliCaloBunchInfo> &bunchvector, 
-                                     const UInt_t altrocfg1,  const UInt_t altrocfg2 ) = 0;
-  //enum fitAlgorithm {kCrude, kPeakFinder, kLMS, kFastFit, kNeuralNet, kNONE};
-  void PrintBunches( const std::vector<AliCaloBunchInfo> &bunchvector ) const;
-  void PrintBunch( const AliCaloBunchInfo &bunch ) const ;
+
+  virtual AliCaloFitResults Evaluate( const std::vector<AliCaloBunchInfo> &/*bunchvector*/, 
+                                     const UInt_t /*altrocfg1*/,  const UInt_t /*altrocfg2*/ )  = 0;
+
+  static void PrintBunches( const std::vector<AliCaloBunchInfo> &bunchvector );
+  static void PrintBunch( const AliCaloBunchInfo &bunch );
   
-  virtual int PreFitEvaluateSamples( const std::vector<AliCaloBunchInfo>  &bunchvector, 
+  int PreFitEvaluateSamples( const std::vector<AliCaloBunchInfo>  &bunchvector, 
                                     const UInt_t altrocfg1,  const UInt_t altrocfg2, Int_t & index, 
-                                    Float_t & maxf, short & maxamp, short & maxampindex, Float_t & ped, int & first, int & last);
+                                    Float_t & maxf, short & maxamp, short & maxampindex, 
+                                   Float_t & ped, int & first, int & last, const int acut);
+  
   void SetTimeConstraint(const int min, const int max );
   void SetVerbose(bool verbose = true){ fVerbose = verbose; };
   void SetIsZeroSuppressed(const bool iszs = true) { fIsZerosupressed = iszs; } ;
@@ -75,24 +78,23 @@ class  AliCaloRawAnalyzer : public TObject
   Double_t CalculateChi2(const Double_t amp, const Double_t time,
                         const Int_t first, const Int_t last,
                         const Double_t adcErr=1, 
-                        const Double_t tau=2.35);
-
+                        const Double_t tau=2.35) const;
   void CalculateMeanAndRMS(const Int_t first, const Int_t last,
                           Double_t & mean, Double_t & rms);
-
- protected:
+  void SetL1Phase(const Double_t phase) {fL1Phase = phase;};
   short Max( const AliCaloBunchInfo *const bunch, int *const maxindex) const;
   UShort_t Max(const UShort_t *data, const int length ) const;
   bool CheckBunchEdgesForMax( const AliCaloBunchInfo *const bunch) const;
-  bool IsInTimeRange( const int maxindex ) const;
+  bool IsInTimeRange( const int maxindex, const int maxtime, const int mintime ) const;
   Float_t  ReverseAndSubtractPed( const AliCaloBunchInfo *bunch, const UInt_t altrocfg1,  const UInt_t altrocfg2, double *outarray ) const;
-  int  SelectBunch( const std::vector<AliCaloBunchInfo> &bunchvector, short *const maxampbin, short *const maxamplitude ) const;
-  virtual void SelectSubarray( const Double_t *fData, const int length, const short maxindex, int *const  first, int *const last ) const;
+  int  SelectBunch( const std::vector<AliCaloBunchInfo> &bunchvector, short *const maxampbin, short *const maxamplitude );
+  void SelectSubarray( const Double_t *date, const int length, const short maxindex, int *const  first, int *const last, const int cut) const;
   Float_t EvaluatePedestal(const UShort_t * const data, const int length ) const;
+  Float_t GetTau() const           { return fTau;};
+  void SetTau( const Float_t tau ) { fTau =tau ;}; 
   
-  Double_t fReversed[MAXSAMPLES]; //Reversed sequence of samples (pedestalsubtracted)
-
-  // private:
+protected:
+  Double_t fReversed[ALTROMAXSAMPLES]; //Reversed sequence of samples (pedestalsubtracted)
   int fMinTimeIndex; //The timebin of the max signal value must be between fMinTimeIndex and fMaxTimeIndex
   int fMaxTimeIndex; //The timebin of the max signal value must be between fMinTimeIndex and fMaxTimeIndex
   int fFitArrayCut;  //Cut on ADC value (after ped. subtraction) for signals used for fit
@@ -102,14 +104,13 @@ class  AliCaloRawAnalyzer : public TObject
   int fNsamplePed;   //Number of samples used for pedestal calculation (first in bunch) 
   bool fIsZerosupressed; //Wether or not the data is zeros supressed, by default its assumed that the baseline is also subtracted if set to true
   bool fVerbose;     //Print debug information to std out if set to true
-
   char fName[256]; // Name of the algorithm
   char fNameShort[256]; // Abbrevation for the name
- 
-
-  //  CaloConstants  fAlgo;
-  Algo::fitAlgorithm fAlgo;
-  
+  Algo::fitAlgorithm fAlgo; // Which algorithm to use
+  Double_t fL1Phase; // Phase of the ADC sampling clock relative to the LHC clock
+  Double_t fAmp; // The amplitude in entities of ADC counts
+  Double_t fTof; // The amplitude in entities of ADC counts
+  Float_t fTau;  // Rise time of the signal (peak position = t0 +tau), by defauly it is 235 ns
   ClassDef(AliCaloRawAnalyzer, 2)  
 
 };