public void MakeFitEfficiency(Wave[] waves)
{
try
{
var fitCoeff = MathNet.Numerics.Fit.Polynomial(waves.Where(w => w.Efficiency != 0).Select(w => w.lambda).ToArray(),
waves.Where(w => w.Efficiency != 0).Select(w => w.Efficiency).ToArray(), 2);
m_EfficiencyFit = new ApproxymationCurve()
{
isExist = true,
a = fitCoeff[2],
b = fitCoeff[1],
c = fitCoeff[0]
};
}
catch
{
m_EfficiencyFit = new ApproxymationCurve()
{
isExist = false
};
}
}
public void MakeFitMagnification(Wave[] waves)
{
try
{
var fitCoeff = MathNet.Numerics.Fit.Polynomial(waves.Where(w => !double.IsNaN(w.Magnification)).Select(w => w.lambda).ToArray(),
waves.Where(w => !double.IsNaN(w.Magnification)).Select(w => w.Magnification).ToArray(), 2);
m_MagnificationFit = new ApproxymationCurve()
{
isExist = true,
a = fitCoeff[2],
b = fitCoeff[1],
c = fitCoeff[0]
};
}
catch
{
m_MagnificationFit = new ApproxymationCurve()
{
isExist = false
};
}
}
