期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 478, 期 1, 页码 1272-1280出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/sty956
关键词
binaries: eclipsing; stars: fundamental parameters; stars: low-mass
资金
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
This work aims to test the fidelity and efficiency of obtaining automatic orbital elements of eclipsing binary systems, from light curves using neural network models. We selected a random sample with 78 systems, from over 1400 detached eclipsing binaries obtained from the Kepler Eclipsing Binaries Catalog, processed using the neural network approach. The orbital parameters of the sample systems were measured applying the traditional method of light-curve adjustment with uncertainties calculated by the bootstrap method, employing the JKTEBOP code. These estimated parameters were compared with those obtained by the neural network approach for the same systems. The results reveal a good agreement between techniques for the sum of the fractional radii and moderate agreement for e cow and e since, but orbital inclination is clearly underestimated in neural network tests.
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