get_angular_power

PolarDiffraction2D.get_angular_power(mask=None, normalize=True, inplace=False, **kwargs)

Calculate the power spectrum of the angular auto-correlation function in the form of a Signal2D class.

This gives the fourier decomposition of the radial correlation. Due to nyquist sampling the number of fourier coefficients will be equal to the angular range.

Parameters:

• mask (Numpy array or Signal2D) – A bool mask of values to ignore of shape equal to the signal shape. If the mask

  is a BaseSignal than it is iterated with the polar signal

  normalize: bool

  Normalize the radial correlation by the average value at some radius.

• inplace (bool) – From hyperspy.api.signals.BaseSignal.map() inplace=True means the signal is overwritten.

• kwargs (dict) – Any additional options for the hyperspy.api.signals.BaseSignal.map() function

Returns:

power – The power spectrum of the Signal2D, when inplace is False, otherwise return None

Return type:

Signal2D