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2006A&A...446..395S - Astronomy and Astrophysics, volume 446395-402 (2006/1-4)
Automatic classification of eclipsing binaries light curves using neural networks.
SARRO L.M., SANCHEZ-FERNANDEZ C. and GIMENEZ A.
Abstract (from CDS):
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 systems 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 Hipparcos data of seven different categories including eccentric binary systems and two types of pulsating light curve morphologies.
Abstract Copyright: ∼
Journal keyword(s): stars: binaries: eclipsing - stars: binaries: general - methods: data analysis - methods: statistical
Simbad objects: 91
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