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arxiv: 1502.01165 · v1 · pith:UEYFMWN5new · submitted 2015-02-04 · 🌌 astro-ph.SR

Automated eclipsing binary detection: applying the Gaia CU7 pipeline to Hipparcos

classification 🌌 astro-ph.SR
keywords eclipsingbinarydetectionhipparcospipelineautomatedgaiasources
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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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