idft_map#

xrayvision.transform.idft_map(input_vis, *, u, v, shape, weights=None, center=<Quantity [0., 0.] arcsec>, pixel_size=<Quantity [1., 1.] arcsec>)[source]#

Inverse discrete Fourier transform in terms of coordinates returning a 2D real array or image.

Parameters:

uv (numpy.ndarray) – Array of 2xN u, v coordinates corresponding to the input visibilities in input_vis
input_vis (numpy.ndarray) – Array of N complex input visibilities
shape (float (m,n)) – The shape of the output array to create
weights (numpy.ndarray) – Array of weights for visibilities
center (float (x, y), optional) – Coordinates of the center of the map e.g. (0,0) or [5.0, -2.0]
pixel_size (float (dx, dy), optional) – The pixel size in x and y directions, need not be square e.g. (1, 3)

Returns:

numpy.ndarray – The complex visibilities evaluated at the u, v coordinates