paired: A Statistical Framework for Detecting Stellar Binarity with Gaia RVs. I. Sensitivity to Unresolved Binaries
Quadry Chance, Daniel Foreman-Mackey, Sarah Ballard, Andrew Casey,, Trevor David, Adrian Price-Whelan

TL;DR
This paper introduces 'paired', a statistical framework that models Gaia DR3 radial velocity data to detect unresolved stellar binaries, aiding large-scale studies of stellar multiplicity and its impact on exoplanet surveys.
Contribution
The paper presents a novel statistical tool, 'paired', for forward modeling Gaia radial velocity noise to identify unresolved binaries and estimate their properties.
Findings
'paired' effectively links radial velocity noise to binary probability.
It can constrain binary semi-amplitudes for high-probability cases.
Benchmarking shows good agreement with ground-based surveys.
Abstract
Data Release 3 (DR3) from the Gaia Mission includes radial velocity measurements of over 33 million targets. Among many scientific applications, the overlap of this stellar sample with targeted exoplanet transit survey stars presents an opportunity to understand planet occurrence in the context of stellar multiplicity on a large scale. Yet, any interpretation of occurrence relies upon an understanding of survey sensitivity. While the sensitivity to planets in transit surveys is well understood, a characterization of the sensitivity of Gaia to unresolved binaries is also critical. We describe here a statistical framework called paired, which we developed to enable the forward modeling of Gaia radial velocity observables for large samples of stars. The paired machinery links the reported radial velocity noise for a given star from Gaia to the probability of a spatially unresolved stellar…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
