Statistics – Computation
Scientific paper
Dec 1989
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989a%26a...226..366r&link_type=abstract
Astronomy and Astrophysics (ISSN 0004-6361), vol. 226, no. 1, Dec. 1989, p. 366-372.
Statistics
Computation
41
Brightness Distribution, Computational Astrophysics, Light Curve, Lunar Occultation, Near Infrared Radiation, Computerized Simulation, Iterative Solution, Least Squares Method, Stellar Envelopes
Scientific paper
This paper presents a method which, by making use of the classical least-squares method and of a deconvolution algorithm (Lucy, 1974), yields the most-likely solution among all the possible brightness profiles that satisfy a given observed light curve. Computer simulations show the effective capability of the method and illustrate its performance in comparison with the classical least-squares method. The application to real astronomical data is shown by analyzing an occultation of IRC + 20082, a stellar source with an extended circumstellar envelope.
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