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A Subpixel Deconvolution Method for Astronomical Images

Weir, N. and Djorgovski, S. (1991) A Subpixel Deconvolution Method for Astronomical Images. In: Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics. No.43. Springer , Dordrecht, pp. 275-283. ISBN 978-94-010-5531-4. https://resolver.caltech.edu/CaltechAUTHORS:20190610-123510979

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Abstract

We present results from the use of an image deconvolution method for achieving subpixel resolution in certain data regimes. Restorations are performed using a shell which utilizes the Gull-Skilling MEMSYS-3 package. We have performed extensive tests using the method and have determined general limits of its applicability and resolving power. We present results from applying the technique to simulated and real images of sparse and closely crowded astronomical fields. Specific projects involved in this study include a search for close companions to quasars and the structural investigation of star cluster cores.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-94-011-3460-6_26DOIArticle
ORCID:
AuthorORCID
Djorgovski, S.0000-0002-0603-3087
Additional Information:© 1991 Springer Science+Business Media Dordrecht. We wish to thank Steve Gull for his help and insight in implementing MEMSYS-3. This material is based upon work supported under a National Science Foundation Graduate Fellowship (NW), and in part by the Alfred P. Sloan Foundation (SD).
Funders:
Funding AgencyGrant Number
NSF Graduate Research FellowshipUNSPECIFIED
Alfred P. Sloan FoundationUNSPECIFIED
Subject Keywords:Point Spread Function; Star Cluster; Gravitational Lens; Astronomical Image; MaxEnt Method
Series Name:Fundamental Theories of Physics
Issue or Number:43
Record Number:CaltechAUTHORS:20190610-123510979
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190610-123510979
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96243
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:10 Jun 2019 21:03
Last Modified:03 Oct 2019 21:20

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