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CLEAN (algorithm)

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This is an old revision of this page, as edited by Anoko moonlight (talk | contribs) at 11:16, 2 November 2008 (Here's the original publication, I am not sure how to cite "several variations have been proposed since" -- cite all (100!) variations??). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

The CLEAN algorithm is a computational algorithm to perform a deconvolution on images created in radio astronomy. It was published by Jan Högbom in 1974[1] and several variations have been proposed since [citation needed].

The algorithm assumes that the image consists of a number of point sources. It will iteratively find the highest value in the image and subtract a small gain of this point source convolved with the point spread function ("dirty beam") of the observation, until the highest value is smaller than some threshold.

References

  1. ^ Aperture Synthesis with a Non-Regular Distribution of Interferometer Baselines, original publication by Jan Högbom about CLEAN, in the Astronomy and Astrophysics Supplement, Vol. 15, p.417