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 then.[2]
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.
Astronomer T. J. Cornwell writes, "The impact of CLEAN on radio astronomy has been immense", both directly in enabling greater speed and efficiency in observations, and indirectly by encouraging "a wave of innovation in synthesis processing that continues to this day."[3] It has also been applied in other areas of astronomy and many other fields of science.[3]
The CLEAN algorithm and its variations are still extensively used in radio astronomy, for example in the first imaging of the M87 central supermassive black hole by the Event Horizon Telescope.[4][5]
Referencesedit
^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
^The family of CLEAN algorithms, a chapter from the MAPPING software manual
^ abCornwell, T. J. (2009). "Hogbom's CLEAN algorithm. Impact on astronomy and beyond". Astronomy & Astrophysics. 500: 65–66. doi:10.1051/0004-6361/200912148.
^The Event Horizon Telescope Collaboration (2019). "First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole". The Astrophysical Journal Letters. 875 (1): L1. arXiv:1906.11238. Bibcode:2019ApJ...875L...1E. doi:10.3847/2041-8213/ab0ec7. S2CID 145906806.
^The Event Horizon Telescope Collaboration (2019). "First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole". The Astrophysical Journal Letters. 875 (1): L4. arXiv:1906.11241. Bibcode:2019ApJ...875L...4E. doi:10.3847/2041-8213/ab0e85. S2CID 146068771.
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clean, algorithm, clean, algorithm, computational, algorithm, perform, deconvolution, images, created, radio, astronomy, published, högbom, 1974, several, variations, have, been, proposed, since, then, algorithm, assumes, that, image, consists, number, point, . The CLEAN algorithm is a computational algorithm to perform a deconvolution on images created in radio astronomy It was published by Jan Hogbom in 1974 1 and several variations have been proposed since then 2 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 Astronomer T J Cornwell writes The impact of CLEAN on radio astronomy has been immense both directly in enabling greater speed and efficiency in observations and indirectly by encouraging a wave of innovation in synthesis processing that continues to this day 3 It has also been applied in other areas of astronomy and many other fields of science 3 The CLEAN algorithm and its variations are still extensively used in radio astronomy for example in the first imaging of the M87 central supermassive black hole by the Event Horizon Telescope 4 5 References edit Aperture Synthesis with a Non Regular Distribution of Interferometer Baselines original publication by Jan Hogbom about CLEAN in the Astronomy and Astrophysics Supplement Vol 15 p 417 The family of CLEAN algorithms a chapter from the MAPPING software manual a b Cornwell T J 2009 Hogbom s CLEAN algorithm Impact on astronomy and beyond Astronomy amp Astrophysics 500 65 66 doi 10 1051 0004 6361 200912148 The Event Horizon Telescope Collaboration 2019 First M87 Event Horizon Telescope Results I The Shadow of the Supermassive Black Hole The Astrophysical Journal Letters 875 1 L1 arXiv 1906 11238 Bibcode 2019ApJ 875L 1E doi 10 3847 2041 8213 ab0ec7 S2CID 145906806 The Event Horizon Telescope Collaboration 2019 First M87 Event Horizon Telescope Results IV Imaging the Central Supermassive Black Hole The Astrophysical Journal Letters 875 1 L4 arXiv 1906 11241 Bibcode 2019ApJ 875L 4E doi 10 3847 2041 8213 ab0e85 S2CID 146068771 nbsp This astronomy related article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title CLEAN algorithm amp oldid 1189324876, wikipedia, wiki, book, books, library,
