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Wide Binaries in TGAS: Search Method and First Results

Published online by Cambridge University Press:  07 March 2018

Jeff J. Andrews
Affiliation:
Foundation for Research and Technology - Hellas, IESL, Voutes, 71110 Heraklion, Greece email: andrews@physics.uoc.gr Physics Department & Institute of Theoretical & Computational Physics, University of Crete, 71003 Heraklion, Crete, Greece
Julio Chanamé
Affiliation:
Instituto de Astrofísica, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, 782-0436 Macul, Santiago, Chile Millennium Institute of Astrophysics, Santiago, Chile
Marcel A. Agüeros
Affiliation:
Department of Astronomy, Columbia University, 550 West 120th Street, New York, NY 10027, USA
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Abstract

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Half of all stars reside in binary systems, many of which have orbital separations in excess of 1000 AU. Such binaries are typically identified in astrometric catalogs by matching the proper motions vectors of close stellar pairs. We present a fully Bayesian method that properly takes into account positions, proper motions, parallaxes, and their correlated uncertainties to identify widely separated stellar binaries. After applying our method to the >2 × 106 stars in the Tycho-Gaia astrometric solution from Gaia DR1, we identify over 6000 candidate wide binaries. For those pairs with separations less than 40,000 AU, we determine the contamination rate to be ≈5%. This sample has an orbital separation (a) distribution that is roughly flat in log space for separations less than ~5000 AU and follows a power law of a−1.6 at larger separations.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2018 

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