ECS run type is PEDESTAL and not PEDESTAL_RUN

[u/mrichter/AliRoot.git] / ITS / AliITSOnlineSDDBase.h

#ifndef ALIITSONLINESDDBASE_H
#define ALIITSONLINESDDBASE_H

///////////////////////////////////////////////////////////////////
//                                                               //
// Class used for SDD baseline and noise analysis                //
// Origin: F.Prino, Torino, prino@to.infn.it                     //
//                                                               //
///////////////////////////////////////////////////////////////////
#include "AliITSOnlineSDD.h"
#include <TMath.h>

class TH2F;
class TGraph;
class AliITSOnlineSDDBase : public AliITSOnlineSDD {

 public:
  AliITSOnlineSDDBase();
  AliITSOnlineSDDBase(Int_t nddl, Int_t ncarlos, Int_t sid);
  virtual ~AliITSOnlineSDDBase();
  void Reset();
  void AddEvent(TH2F* hrawd);
  void ValidateAnodes();

  void SetMinBaseline(Float_t bas=10.){fMinBaseline=bas;}
  void SetMaxBaseline(Float_t bas=150.){fMaxBaseline=bas;}
  void SetMinRawNoise(Float_t ns=0.001){fMinRawNoise=ns;}
  void SetMaxRawNoise(Float_t ns=9.){fMaxRawNoise=ns;}
  void SetNSigmaNoise(Float_t ns=4.){fNSigmaNoise=ns;}

  Bool_t IsAnodeGood(Int_t iAnode)const{ return fGoodAnode[iAnode];}
  Float_t GetAnodeBaseline(Int_t iAnode) const{
    if(fNEvents>0) return fSumBaseline[iAnode]/fNEvents;
    else return 0;
  }
  Float_t GetMinimumBaseline() const;
  Float_t GetAnodeRawNoise(Int_t iAnode) const{
    if(fNEvents>0) return TMath::Sqrt(fSumRawNoise[iAnode]/fNEvents-TMath::Power(GetAnodeBaseline(iAnode),2));
    
    else return 0;
  }

  Float_t CalcMeanRawNoise() const;
  Float_t GetAnodeCommonMode(Int_t iAnode) const{
    if(fNEvents>0) return fSumCMN[iAnode]/fNEvents;
    else return 0;
  }
  Int_t GetNEvents() const {return fNEvents;}
  void WriteToASCII();

 protected:

 private:
  Int_t fNEvents;                    // number of events
  Bool_t fGoodAnode[fgkNAnodes];     // anode quality: good(1) - bad (0)
  Float_t fSumBaseline[fgkNAnodes];  // baseline summed over events
  Float_t fSumRawNoise[fgkNAnodes];  // noise summed over events
  Float_t fSumCMN[fgkNAnodes];       // common mode noise coeff.
  Float_t fMinBaseline;              // Cut value for minimum baseline
  Float_t fMaxBaseline;              // Cut value for maximum baseline
  Float_t fMinRawNoise;              // Cut value for minimum noise
  Float_t fMaxRawNoise;              // Cut value for maximum noise
  Float_t fNSigmaNoise;              // Cut value for noise (n*sigma)

  ClassDef(AliITSOnlineSDDBase,1);
};
#endif