Revision of the Phenomenological Characteristics of the Algol-Type Stars Using the NAV Algorithm
Mariia G. Tkachenko, Ivan L. Andronov, Lidia L. Chinarova

TL;DR
This paper introduces the NAV algorithm for analyzing Algol-type stars, providing more accurate and smoother light curve fits with fewer parameters compared to traditional polynomial methods, and applies it to various star systems.
Contribution
The paper presents the NAV algorithm, a new method for phenomenological analysis of variable stars that improves fit accuracy and reduces parameter count over existing polynomial approaches.
Findings
NAV yields more accurate period estimates than previous methods.
Fewer parameters are needed for smooth light curve approximation.
Application to new star systems provided physical parameter estimates.
Abstract
Phenomenological characteristics of the sample of the Algol-type stars are revised using a recently developed NAV ("New Algol Variable") algorithm (2012Ap.....55..536A, 2012arXiv 1212.6707A) and compared to that obtained using common methods of Trigonometric Polynomial Fit (TP) or local Algebraic Polynomial (A) fit of a fixed or (alternately) statistically optimal degree (1994OAP.....7...49A, 2003ASPC..292..391A). The computer program NAV is introduced, which allows to determine the best fit with 7 "linear" and 5 "non-linear" parameters and their error estimates. The number of parameters is much smaller than for the TP fit (typically 20-40, depending on the width of the eclipse, and is much smaller (5-20) for the W UMa and beta Lyrae - type stars. This causes more smooth approximation taking into account the reflection and ellipsoidal effects (TP2) and generally different shapes of the…
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