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Automated eclipsing binary detection:applying the Gaia CU7 pipeline to Hipparcos
Published online by Cambridge University Press: 17 July 2015
Abstract
We demonstrate the eclipsing binary detection performance of the Gaia variability analysis and processing pipeline using Hipparcos data. The automated pipeline classifies 1 067 (0.9%) of the 118 204 Hipparcos sources as eclipsing binary candidates. The detection rate amounts to 89% (732 sources) in a subset of 819 visually confirmed eclipsing binaries, with the period correctly identified for 80% of them, and double or half periods obtained in 6% of the cases.
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- © EAS, EDP Sciences, 2015
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