Automatic classification of eclipsing binaries light curves using neural networks

Details Automatic classification of eclipsing binaries light curves using neural networks Automatic classification of eclipsing binaries light curves using neural networks

2005-11-11

arxiv.org/abs/astro-ph/0511346v1

Astronomy and Astrophysics

Astrophysics

11 pages (+ 5 pages online material) accepted for publication by A&A

Scientific paper

10.1051/0004-6361:20052830

In this work we present a system for the automatic classification of the light curves of eclipsing binaries. This system is based on a classification scheme that aims to separate eclipsing binary sistems according to their geometrical configuration in a modified version of the traditional classification scheme. The classification is performed by a Bayesian ensemble of neural networks trained with {\em Hipparcos} data of seven different categories including eccentric binary systems and two types of pulsating light curve morphologies.

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