Abstract
Lunar occultation technique has been successfully applied in the near-infrared to obtain structural information of celestial objects with very high angular resolution. This paper reviews and evaluates the methods which have been used to analyze the data. Specifically, the least-squares modeling is adequate for data suggesting simple intensity structure, while inverse techniques are required for complicated objects. A technique incorporating Bayesian procedure (the Richardson-Lucy algorithm) is found particularly useful in restoration of lunar occultation data.
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© 1991 Springer Science+Business Media Dordrecht
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Chen, W.P. (1991). Analysis of Lunar Occultation Data. In: Grandy, W.T., Schick, L.H. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 43. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3460-6_5
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DOI: https://doi.org/10.1007/978-94-011-3460-6_5
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