AutoCorrMat Class Reference

#include <AutoCorrMat.h>

Public Member Functions
void	add (int *adc)
	AutoCorrMat ()
float *	mat ()
void	zero ()
	~AutoCorrMat ()

Private Attributes
int	evar [12]
int	evt
float	Mat [12]
float	mymean [12]
float	N [12]
float	tMat [12]
float	variance [12]

Detailed Description

Definition at line 11 of file AutoCorrMat.h.

Constructor & Destructor Documentation

AutoCorrMat()

AutoCorrMat::AutoCorrMat ( )

inline

Definition at line 15 of file AutoCorrMat.h.

               {
    for(int i=0;i<12;i++){
      Mat[i]=0.0;
      N[i]=0.0;
    }
  }

References mps_fire::i, Mat, and N.

~AutoCorrMat()

AutoCorrMat::~AutoCorrMat ( )

inline

Definition at line 22 of file AutoCorrMat.h.

{}

Member Function Documentation

add()

void AutoCorrMat::add ( int *  adc )

inline

Definition at line 37 of file AutoCorrMat.h.

                    {
    int pairs[12][2]={{3,3},{3,4},{4,4},{3,5},{4,5},{5,5},{4,6},{5,6},{6,6},{5,7},{6,7},{7,7}};
    double ped=(adc[0]+adc[1])/2.;
    evt++;      
 
    for(int i=3;i<8;i++){
      if(fabs(adc[i]-ped)<25.){
        evar[i]++;
        mymean[i]   += adc[i]-ped;
        variance[i] += (adc[i]-ped)*(adc[i]-ped);
      }
    }
    
    for(int i=0;i<12;i++){
      
      //Add values within 3 sigma of mean only
      float threeSigma0 = 3. * sqrt(variance[pairs[i][0]]/evar[pairs[i][0]]);
      float threeSigma1 = 3. * sqrt(variance[pairs[i][1]]/evar[pairs[i][1]]);
      
     if (fabs(adc[pairs[i][0]]-ped)<threeSigma0 && fabs(adc[pairs[i][1]]-ped)<threeSigma1){
    N[i]=N[i]+1;
    Mat[i]=Mat[i]+(adc[pairs[i][0]]-ped)*(adc[pairs[i][1]]-ped);
      }
      //end 3 sigma 
    }
  }

References gpuClustering::adc, evar, evt, mps_fire::i, Mat, mymean, N, mathSSE::sqrt(), and variance.

Referenced by Chamber_AutoCorrMat::add(), and counter.Counter::register().

mat()

float* AutoCorrMat::mat ( )

inline

Definition at line 64 of file AutoCorrMat.h.

              {
    float *tmp;
    for(int i=0;i<12;i++)tMat[i]=Mat[i]/N[i];
    tmp=tMat;
    return tmp; 
  }

References mps_fire::i, Mat, N, tMat, and createJobs::tmp.

Referenced by Chamber_AutoCorrMat::autocorrmat().

zero()

void AutoCorrMat::zero ( )

inline

Definition at line 24 of file AutoCorrMat.h.

             {
   for(int i=0;i<12;i++){
     Mat[i]=0.0;
     N[i]=0.0;
    }
   for (int i=3;i<12;i++){
     evar[i]=1; 
     variance[i]=10.0;
     mymean[i]=3.2;
   }
   evt=0;
  }

References evar, evt, mps_fire::i, Mat, mymean, N, and variance.

Referenced by Chamber_AutoCorrMat::zero().

Member Data Documentation

evar

int AutoCorrMat::evar[12]

private

Definition at line 79 of file AutoCorrMat.h.

Referenced by add(), and zero().

evt

int AutoCorrMat::evt

private

Definition at line 78 of file AutoCorrMat.h.

Referenced by add(), and zero().

Mat

float AutoCorrMat::Mat[12]

private

Definition at line 73 of file AutoCorrMat.h.

Referenced by add(), AutoCorrMat(), mat(), and zero().

mymean

float AutoCorrMat::mymean[12]

private

Definition at line 76 of file AutoCorrMat.h.

Referenced by add(), and zero().

N

float AutoCorrMat::N[12]

private

Definition at line 74 of file AutoCorrMat.h.

Referenced by add(), AutoCorrMat(), mat(), and zero().

tMat

float AutoCorrMat::tMat[12]

private

Definition at line 75 of file AutoCorrMat.h.

Referenced by mat().

variance

float AutoCorrMat::variance[12]

private

Definition at line 77 of file AutoCorrMat.h.

Referenced by add(), average.Average::uncertainty(), and zero().