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.
Cite
@article{arxiv.1502.01165,
title = {Automated eclipsing binary detection: applying the Gaia CU7 pipeline to Hipparcos},
author = {Berry Holl and Nami Mowlavi and Isabelle Lecoeur-Taïbi and Fabio Barblan and Lorenzo Rimoldini and Laurent Eyer and Maria Süveges and Leanne Guy and Diego Ordoñez-Blanco and Idoia Ruiz and Krzysztof Nienartowicz},
journal= {arXiv preprint arXiv:1502.01165},
year = {2015}
}
Comments
4 pages, 1 figure, to be published in conference proceedings: "The Milky Way Unravelled by Gaia" in "EAS Publications Series"