Deconvolution adapted to SDP Processing Function Library interface

Who?

• SDP pipeline developers

What?

This feature was originally split from SP-2332, as we were trying to address the boundary between processing functions ("C" functions communicating using in-memory data and python bindings) and - essentially - higher-level workflow steps (possibly internally distributed processes communication via the buffer).

• So for this feature, we would like to prototype a deconvolution processing function according to HIPPO's C interface, drawing on work done for SP-2332 and SP-1860
• Consider how/if deconvolution should be decomposed into a set of functions.
• As usual, we would be specifically interested in distributed deconvolution - i.e. that we can do this on facets separately
• To this end, consider how to define masks in case we want to choose facet borders strategically (as in WSClean) - probably similar metadata discussion as with SP-2332, but for in-memory data models (data structures).

Why?

• Deconvolution is of tremendous importance for the imaging pipeline - especially as it is comparatively hard to parallelise.
• Therefore having processing functions available is going to be of great value