Keywords: imager

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### Comparison of deconvolution algorithms

magenta`HOGBOM` is the basic `CLEAN` algorithm. It is very robust, but somewhat slow although this is partially compensated by good parallel programming. magenta`CLARK` introduces a faster strategy for the search and removal of clean component. However, it may converge more slowly and can even be instable when dirty sidelobes are high, or the phase noise still significant. magenta`MX` cleans the largest region of the dirty map because the source removal happens in the uv plane. For the same map size, it is slower than magenta`CLARK` because of the repeated imaging step, but smaller image sizes can be used. It shares some of the magenta`CLARK` instabilities because it uses the same search strategy, but the removal strategy counteracts this. magenta`MX` can be very slow for large number of visibilities.

magenta`HOGBOM`, magenta`CLARK` and magenta`MX` may introduce artifacts as parallel stripes in the clean map when dealing with smooth, extended structures. magenta`SDI`, magenta`MRC` and magenta`MULTI` introduce a different (in principle better) handling of those extended sources. magenta`SDI` is a rough attempt and requires a good prior of the support to work correctly. magenta`MRC` and magenta`MULTI` introduce the notion of cleaning at different spatial scales. magenta`MRC` has unfortunately no notion of Clean Components. magenta`MULTI` is the most advanced tool, but is significantly slower than any other method.

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