Phemenological Modeling of Eclipsing Binary Stars
Ivan L. Andronov, Mariia G. Tkachenko, Lidia L. Chinarova

TL;DR
This paper reviews and applies the NAV phenomenological modeling method for eclipsing binary stars, demonstrating its advantages over traditional trigonometric polynomial approaches in classifying and analyzing light curves, including multi-color data.
Contribution
The paper introduces an improved NAV method for modeling eclipsing binary star light curves, enhancing classification and parameter estimation over traditional polynomial models.
Findings
NAV method outperforms TP in modeling eclipsing binaries.
Application to multiple stars demonstrates NAV's effectiveness.
NAV can estimate physical parameters from phenomenological fits.
Abstract
We review the method NAV (New Algol Variable) first introduced in 2012Ap.....55..536A, which uses the locally-dependent shapes of eclipses in an addition to the trigonometric polynomial of the second order (which typically describes the "out-of-eclipse" part of the light curve with effects of reflection, ellipticity and O'Connell). Eclipsing binary stars are believed to show distinct eclipses only if belonging to the EA type. With a decreasing eclipse width, the statistically optimal value of the trigonometric polynomial s (2003ASPC..292..391A) drastically increases from ~2 for elliptic (EL) variables without eclipses, ~6-8 for EW and up to ~30-50 for some EA with narrow eclipses. In this case of large number of parameters, the smoothing curve becomes very noisy and apparent waves (the Gibbs phenomenon) may be seen. The NAV set of the parameters may be used for classification in the…
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Taxonomy
TopicsStellar, planetary, and galactic studies
