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

Published online by Cambridge University Press:  17 July 2015

B. Holl ,
N. Mowlavi ,
I. Lecoeur-Taïbi ,
F. Barblan ,
L. Rimoldini ,
L. Eyer ,
M. Süveges ,
L. Guy ,
D. Ordoñez-Blanco  and
I. Ruiz
...Show all authors
B. Holl*
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
N. Mowlavi
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
I. Lecoeur-Taïbi
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
F. Barblan
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
L. Rimoldini
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
L. Eyer
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
M. Süveges
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
L. Guy
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
D. Ordoñez-Blanco
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
I. Ruiz
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
K. Nienartowicz
Affiliation:
Department of Astronomy, University of Geneva, 1290 Versoix Switzerland
*
e-mail: [email protected]
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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.

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 68: The Milky Way Unravelled by Gaia: GREAT Science from the Gaia Data Releases , 2014 , pp. 299 - 303
Copyright
© EAS, EDP Sciences, 2015

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