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The Photometric Accuracy of Astronomical Images Restored with the MEMSYS3 Code

Cohen, J. G. (1991) The Photometric Accuracy of Astronomical Images Restored with the MEMSYS3 Code. In: Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics. No.43. Springer , Dordrecht, pp. 59-65. ISBN 9789401055314. https://resolver.caltech.edu/CaltechAUTHORS:20190529-161904112

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Abstract

After reviewing the causes of blur in astronomical images obtained with optical telescopes, both ground based instruments and the Hubble Space Telescope, simulations are described which test the photometric accuracy of the maximum entropy image restoration algorithm used in the code Memsys3 version 2. It is found that at the faintest brightness levels, while the code can recover blurred out point sources, they are recovered systematically too faint. The size of the photometric error depends on the brightness of the source (relative to the noise of the background) and the crowding of the field. At present, the optimum technique to apply to blurred images of crowded fields where most of the sources are point sources seems to be to use a restored image to generate the list of objects, then feed this into a standard point spread function fitting code and use this on the original blurred frame. In that manner, the most crowded fields can be analyzed without losing photometric accuracy.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-94-011-3460-6_6DOIArticle
ORCID:
AuthorORCID
Cohen, J. G.0000-0002-8039-4673
Additional Information:© Springer Science+Business Media Dordrecht 1991. I am grateful to Nick Weir and Steve Gull for implementing Memsys3 on our computers.
Subject Keywords:Maximum Entropy; Point Spread Function; Image Restoration; Hubble Space Telescope; Star Cluster
Series Name:Fundamental Theories of Physics
Issue or Number:43
Record Number:CaltechAUTHORS:20190529-161904112
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190529-161904112
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95919
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:31 May 2019 15:30
Last Modified:03 Oct 2019 21:17

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