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arXiv 1502.01165astro-ph.SR
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Automated eclipsing binary detection: applying the Gaia CU7 pipeline to Hipparcos

Berry Holl, Nami Mowlavi, Isabelle Lecoeur-Taïbi, Fabio Barblan, Lorenzo Rimoldini, Laurent Eyer, Maria Süveges, Leanne Guy, Diego Ordoñez-Blanco, Idoia Ruiz, K… 展开作者

Berry Holl, Nami Mowlavi, Isabelle Lecoeur-Taïbi, Fabio Barblan, Lorenzo Rimoldini, Laurent Eyer, Maria Süveges, Leanne Guy, Diego Ordoñez-Blanco, Idoia Ruiz, Krzysztof Nienartowicz

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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