`ngcasa.deconvolution.deconvolve_multiterm_clean`¶

deconvolve_multiterm_clean(img_dataset, deconvolve_parms, storage_parms)[source]¶

Todo

This function is not yet implemented

An iterative solver to construct a model from an observed image(set) and psf(set).

Sky model - A (multi-term) linear combination of basis functions.

Multi-scale : Basis functions are inverted tapered paraboloids

Multi-scale MFS : Basis functions are Taylor polynomials in frequency

Options :

MS-Clean - Multi-scale CLEAN ( MS-MFS Clean with nterms=1 )
- Input - Requires an input cube (mfs is a cube with nchan=1)
- Output - Cube model image
MS-MFS Clean - Wideband Imaging that solves for a set of Taylor coefficient maps.
- Input - Multi-channel cube.
- Output : Taylor coefficient maps, Spectral Index + Evaluation of the model to a Cube model image

Step (1) cngi.image.cube_to_mfs()

Step (2) Implement the multi-term deconvolution algorithm

Step (3) cngi.image.mfs_to_cube()

The special case of nscales=1 and nterms=1 is the same use-case as deconvolve_point_clean.

ngcasa.deconvolution.deconvolve_multiterm_clean¶