Residual Entropy as a Diagnostic and Stopping Metric for CLEAN

We propose the use of entropy, measured from the spatial and flux distribution of pixels in the residual image, as a potential diagnostic and stopping metric for the CLEAN algorithm. Despite its broad success as the standard deconvolution approach in radio interferometry, finding the optimum stoppin...

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Main Authors: D. C. Homan, J. S. Roth, A. B. Pushkarev
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astronomical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-3881/ad0beb
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author D. C. Homan
J. S. Roth
A. B. Pushkarev
author_facet D. C. Homan
J. S. Roth
A. B. Pushkarev
author_sort D. C. Homan
collection DOAJ
description We propose the use of entropy, measured from the spatial and flux distribution of pixels in the residual image, as a potential diagnostic and stopping metric for the CLEAN algorithm. Despite its broad success as the standard deconvolution approach in radio interferometry, finding the optimum stopping point for the iterative CLEAN algorithm is still a challenge. We show that the entropy of the residual image, measured during the final stages of CLEAN, can be computed without prior knowledge of the source structure or expected noise levels, and that finding the point of maximum entropy as a measure of randomness in the residual image serves as a robust stopping criterion. We also find that, when compared to the expected thermal noise in the image, the maximum entropy of the residuals is a useful diagnostic that can reveal the presence of data editing, calibration, or deconvolution issues that may limit the fidelity of the final CLEAN map.
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spelling doaj.art-ca1f9aa2690b4e81bf37cbe9a1f1345e2023-12-07T12:15:19ZengIOP PublishingThe Astronomical Journal1538-38812023-01-0116711110.3847/1538-3881/ad0bebResidual Entropy as a Diagnostic and Stopping Metric for CLEAND. C. Homan0https://orcid.org/0000-0002-4431-0890J. S. Roth1https://orcid.org/0009-0009-5367-5603A. B. Pushkarev2https://orcid.org/0000-0002-9702-2307Department of Physics and Astronomy, Denison University , Granville, OH 43023, USA ; homand@denison.eduDepartment of Physics and Astronomy, Denison University , Granville, OH 43023, USA ; homand@denison.eduCrimean Astrophysical Observatory , 298409 Nauchny, Crimea, RussiaWe propose the use of entropy, measured from the spatial and flux distribution of pixels in the residual image, as a potential diagnostic and stopping metric for the CLEAN algorithm. Despite its broad success as the standard deconvolution approach in radio interferometry, finding the optimum stopping point for the iterative CLEAN algorithm is still a challenge. We show that the entropy of the residual image, measured during the final stages of CLEAN, can be computed without prior knowledge of the source structure or expected noise levels, and that finding the point of maximum entropy as a measure of randomness in the residual image serves as a robust stopping criterion. We also find that, when compared to the expected thermal noise in the image, the maximum entropy of the residuals is a useful diagnostic that can reveal the presence of data editing, calibration, or deconvolution issues that may limit the fidelity of the final CLEAN map.https://doi.org/10.3847/1538-3881/ad0bebInterferometryDeconvolutionRadio astronomy
spellingShingle D. C. Homan
J. S. Roth
A. B. Pushkarev
Residual Entropy as a Diagnostic and Stopping Metric for CLEAN
The Astronomical Journal
Interferometry
Deconvolution
Radio astronomy
title Residual Entropy as a Diagnostic and Stopping Metric for CLEAN
title_full Residual Entropy as a Diagnostic and Stopping Metric for CLEAN
title_fullStr Residual Entropy as a Diagnostic and Stopping Metric for CLEAN
title_full_unstemmed Residual Entropy as a Diagnostic and Stopping Metric for CLEAN
title_short Residual Entropy as a Diagnostic and Stopping Metric for CLEAN
title_sort residual entropy as a diagnostic and stopping metric for clean
topic Interferometry
Deconvolution
Radio astronomy
url https://doi.org/10.3847/1538-3881/ad0beb
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