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Physical Parameters of Northern Eclipsing Binaries in the Catalina Sky Survey

Papageorgiou, Athanasios and Catelan, Márcio and Christopoulou, Panagiota-Eleftheria and Drake, Andrew J. and Djorgovski, S. G. (2019) Physical Parameters of Northern Eclipsing Binaries in the Catalina Sky Survey. Astrophysical Journal Supplement Series, 242 (1). Art. No. 6. ISSN 1538-4365. doi:10.3847/1538-4365/ab13b8.

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We present the physical properties for 2281 northern eclipsing binary (EB) stars with eclipsing Algol (EA)-type light-curve (LC) morphology, based on data extracted from the Catalina Sky Survey (CSS). Our study is based on the analysis of the Eclipsing Binary via Artificial Intelligence (EBAI) artificial neural network (ANN) tool. An intensive search for the optimal ANN topology was performed. In order to feed the ANN with LCs that are representative of the CSS observations, two independent methods, based on template fitting and on the Two-Gaussian Model, were applied. As a result, five principal physical parameters were determined using only the CSS LCs, namely the temperature ratio, T_2/T_1; the sum of relative radii, ρ_2 + ρ_1; ε sin ω; ε cos ω; and sin i, where e is the eccentricity, ω is the argument of periastron, and i is the orbital inclination. Parameter uncertainties were estimated based on a Monte Carlo approach. When the ANN predictions were out of its training limits (1540 EBs), the parameters of the systems are based on the matching templates technique only. The results are fully in agreement with the expected parameter values for detached EB systems and can be used as initial inputs for advanced and dedicated EB models and/or for statistical purposes.

Item Type:Article
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URLURL TypeDescription
Papageorgiou, Athanasios0000-0002-3039-9257
Catelan, Márcio0000-0001-6003-8877
Djorgovski, S. G.0000-0002-0603-3087
Additional Information:© 2019 The American Astronomical Society. Received 2018 December 12; revised 2019 March 16; accepted 2019 March 25; published 2019 May 8. A.P. and M.C. gratefully acknowledge the support provided by Fondecyt through grants Nos. 3160782 and 1171273. Additional support for this project is provided by the Ministry for the Economy, Development, and Tourism's Millennium Science Initiative through grant IC 120009, awarded to the Millennium Institute of Astrophysics (MAS); by Proyecto Basal AFB-170002; and by CONICYT's PCI program through grant DPI20140066. We are grateful to Dr. Andrej Prša for his helpful comments and suggestions. The Monte Carlo script in the PHOEBE-scripter is based on the script that was kindly provided by Dr. Andrej Prša. This work made use of data products from the CSS survey. The CSS survey is funded by the National Aeronautics and Space Administration under grant No. NNG05GF22G issued through the Science Mission Directorate Near-Earth Objects Observations Program. The CRTS survey is supported by the US National Science Foundation under grants AST-0909182, AST-1313422, AST-1413600, and AST-1518308. The data processing have been supported by the Geryon 2 supercomputer hosted at the Institute of Astrophysics and Astro-Engineering Center, Pontificia Universidad Católica de Chile. Software: EBAI (Prša et al. 2008), PHOEBE-scripter (Prša & Zwitter 2005).
Funding AgencyGrant Number
Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT)3160782
Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT)1171273
Ministerio de Economía, Fomento y TurismoIC 120009
Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)DPI20140066
Subject Keywords:binaries: eclipsing – methods: data analysis – stars: fundamental parameters
Issue or Number:1
Record Number:CaltechAUTHORS:20190523-102755116
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Official Citation:Athanasios Papageorgiou et al 2019 ApJS 242 6
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95733
Deposited By: Tony Diaz
Deposited On:23 May 2019 17:49
Last Modified:16 Nov 2021 17:15

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