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Classes, Libraries and Functions for Characterization and Calibration of SLS Detectors. First import.

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git-svn-id: file:///afs/psi.ch/project/sls_det_software/svn/slsDetectorCalibration@1 113b152e-814d-439b-b186-022a431db7b5
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bergamaschi
2013-09-19 14:30:30 +00:00
commit 7ca31b2a62
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88
slsDetectorCalibration/MovingStat.h Executable file
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class MovingStat
{
public:
MovingStat() : m_n(0), n(0) {}
void Clear()
{
m_n = 0;
}
void SetN(int i) {n=i;};
int GetN() {return n;};
void Calc(double x) {
if (m_n<n) Add(x);
else Push(x);
}
void Add(double x) {
m_n++;
// See Knuth TAOCP vol 2, 3rd edition, page 232
if (m_n == 1)
{
m_oldM = m_newM = x;
m_oldM2 = x*x;
}
else
{
m_newM = m_oldM + x;
m_newM2 = m_oldM2 + x*x;
//m_newM2 = m_oldM2 + (x*x - m_oldM*m_oldM)/m_n;
// set up for next iteration
m_oldM = m_newM;
m_oldM2 = m_newM2;
}
}
void Push(double x)
{
if (m_n == 1)
{
m_oldM = m_newM = x;
m_oldM2 = x*x;
}
else
{
m_newM = m_oldM + (x - m_oldM/m_n);
m_newM2 = m_oldM2 + (x*x - m_oldM2/m_n);
//m_newM2 = m_oldM2 + (x*x/m_n - m_oldM*m_oldM/(m_n*m_n));
// set up for next iteration
m_oldM = m_newM;
m_oldM2 = m_newM2;
}
}
int NumDataValues() const
{
return m_n;
}
double Mean() const
{
return (m_n > 0) ? m_newM/m_n : 0.0;
}
double M2() const
{
return ( (m_n > 1) ? m_newM2/m_n : 0.0 );
}
double Variance() const
{
return ( (m_n > 1) ? (M2()-Mean()*Mean()) : 0.0 );
}
double StandardDeviation() const
{
return ( (Variance() > 0) ? sqrt( Variance() ) : -1 );
}
private:
int n;
int m_n;
double m_oldM, m_newM, m_oldM2, m_newM2;
};