Astrometric excess noise in Gaia EDR3 and the search for X-ray binaries
P. Gandhi (Univ. Southampton), D.A.H. Buckley, P.A. Charles, S., Hodgkin, S. Scaringi, C. Knigge, A. Rao, J.A. Paice, Y. Zhao

TL;DR
This study uses Gaia EDR3 astrometric excess noise to identify and analyze X-ray binaries, revealing a higher detection efficiency and potential new candidates, but also highlighting current limitations in noise interpretation.
Contribution
The paper demonstrates that combining Gaia astrometric excess noise with X-ray data effectively isolates candidate X-ray binaries and provides a large catalog for future follow-up.
Findings
X-ray detection efficiency is ~4.5 times higher in high AEN sources.
High AEN sources are more likely to be binaries, variables, or young stellar objects.
Current Gaia AEN measurements may be influenced by factors other than orbital wobble.
Abstract
Astrometric noise (AEN) in excess of parallax and proper motion is a potential signature of orbital wobble of individual components in binary star systems. The combination of X-ray selection with astrometric noise could then be a powerful tool for robustly isolating accreting binaries in large surveys. Here, we mine the Gaia EDR3 catalogue for Galactic sources with significant values of astrometric noise over the parameter space expected for known and candidate X-ray binaries (XRBs). Cross-matching our sample with the Chandra Source Catalogue returns a primary sample of ~6,500 X-ray sources with significant AEN. X-ray detection efficiency for objects with significant AEN is a factor of ~4.5 times higher than in a matched control sample exhibiting low AEN. The primary sample branches off the main sequence much more than control objects in colour-mag space, and includes a higher fraction…
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