Statistically Optimal Modeling of Flat Eclipses and Exoplanet Transitions. The "Wall-Supported Polynomial" (WSP) Algoritms
Kateryna D. Andrych, Ivan L. Andronov, Lidia L. Chinarova

TL;DR
The paper introduces the Wall-Supported Polynomial (WSP) algorithms for accurately modeling irregularly spaced photometric data of variable stars and exoplanet transits, improving eclipse characteristic determination.
Contribution
It presents new WSP functions and compares their effectiveness to existing methods, especially for total and transit eclipses, demonstrating superior accuracy in practical applications.
Findings
WSL method achieves 12 times better accuracy for a binary star.
WSP and WSAP are recommended for exoplanet transit modeling.
The methods extend polynomial fits with 'walls' for better approximation.
Abstract
The methods for determination of the characteristics of the extrema are discussed with an application to irregularly spaced data, which are characteristic for photometrical observations of variable stars. We introduce new special functions, which were named as the "Wall-Supported Polynomial" (WSP) of different orders. It is a parabola (WSP), constant line (WSL) or an "asymptotic" parabola (WSAP) with "walls" corresponding to more inclined descending and ascending branches of the light curve. As the interval is split generally into 3 parts, the approximations may be classified as a "non-polynomial spline". These approximations extend a parabolic/linear fit by adding the "walls" with a shape, which asymptotically corresponds to the brightness variations near phases of the inner contact. The fits are compared to that proposed by Andronov (2010, 2012) and Mikulasek (2015) and modified for…
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