get_concentric_virtual_images#
- VirtualImageGenerator.get_concentric_virtual_images(k_min, k_max, k_steps, normalize=False, out_signal_axes=None)[source]#
[Deprecated] Obtain the intensity scattered at each navigation position in an Diffraction2D Signal by summation over a series of concentric in annuli between a specified inner and outer radius in a number of steps.
- Parameters:
k_min (float) – Minimum radius of the annular integration window in units of reciprocal space.
k_max (float) – Maximum radius of the annular integration window in units of reciprocal space.
k_steps (int) – Number of steps within the annular integration window
normalize (boolean) – If True each VDF image is normalized so that the maximum intensity in each VDF is 1.
out_signal_axes (None, iterable of int or string) – Specify which navigation axes to use as signal axes in the virtual image. If None, the two first navigation axis are used.
- Returns:
virtual_images – VirtualDarkFieldImage object containing virtual images for all steps within the annulus.
- Return type:
Notes
Deprecated since version 0.17.0: Function get_concentric_virtual_images() is deprecated and will be removed in version 1.0.0. Use pyxem.signals.Diffraction2D.get_azithumal_integral1d() instead.