golconda.image module

golconda.image.compute_binedges(bincenters)[source]

Compute bin edges from bin centers.

Parameters:

bincenters (numpy.ndarray) – Array of bin centers.

Returns:

Array of bin edges.

Return type:

numpy.ndarray

golconda.image.high_k_taper(k_squared, k_cutoff=0.8)[source]

Apply a Gaussian taper to prevent high-k noise amplification.

golconda.image.split_image_into_patches(image, num_patches)[source]
golconda.image.wiener_deconvolution_flat(decomposer, kappa_smooth, radius, reg_param=0.0001, k_cutoff=0.8)[source]

Perform Wiener deconvolution on a flat-sky convergence map with a robust regularization.