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

2015/02/04 by B. Holl, Berry Holl, Holl, Berry +26
Physics and Astronomy · #Astronomy and Astrophysical Research #FOS: Physical sciences #Gamma-ray bursts and supernovae #Solar and Stellar Astrophysics (astro-ph.SR) #Stellar, planetary, and galactic studies #astro-ph.SR

paper · pdf · doi:10.48550/arxiv.1502.01165

4 pages, 1 figure, to be published in conference proceedings: "The Milky Way Unravelled by Gaia" in "EAS Publications Series"

arxiv created 2015/02/04 · openalex publication_date 2015/02/04 · arxiv updated 2015/02/05 · openalex created_date 2022/09/27 · openalex updated_date 2026/07/28

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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