Astronomy and Astrophysics – Astrophysics
Scientific paper
Nov 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992ap%26ss.197...17d&link_type=abstract
Astrophysics and Space Science (ISSN 0004-640X), vol. 197, no. 1, p. 17-34.
Astronomy and Astrophysics
Astrophysics
42
Binary Stars, Light Curve, Stellar Spectrophotometry, Least Squares Method, Stellar Models
Scientific paper
An efficient method that combines the best properties of the gradient and differential-corrections methods is proposed. The method uses a modified version of the Marquardt (1963) algorithm. The inverse problem is solved in an iterative cycle of corrections to the model elements based on a nonlinear least-square method. Photometric observations are interpreted using optimal model parameters yielding the best agreement between observed and synthetic light curves. Some of these parameters can be independently determined a priori, while the others are found by solving the inverse problem.
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