Part of the Lecture Notes in Statistics book series (LNS, volume 74)
Deconvolution in Optical Astronomy. A Bayesian Approach
We describe in this work how the Bayesian paradigm can be applied to a deconvolution problem in optical astronomy. The use of robust statistics in this process is also discussed.
KeywordsPrior Distribution Point Spread Function Globular Cluster Atmospheric Motion Deconvolved Image
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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