gaussfit: fit gauss function to data

tesfdmtools.methods.gaussfit.gauss(p, x)

Compute Gauss function

Args:

• p = Gauss parameters a*exp(-(x-b)**2/(2*c**2))

  • p[0] = a - scaling

  • p[1] = b - position

  • p[2] = c - sigma width

• x = x-axis values

Returns:

• y = function values

tesfdmtools.methods.gaussfit.gaussfit(x, y)

Fit Gauss function to data. use Chi-square statistics fit

Args:

• x = x-axis values

• y = data values to be fitted

Returns:

• p = list of fitted gauss parameters

  • p[0] = a - scaling

  • p[1] = b - position

  • p[2] = c - sigma width

• perr = list of error values for the fitted parameters

  • perr[0] = a - scaling error

  • perr[1] = b - position error

  • perr[2] = c - sigma width error

• fit = fitted function values