Goodbye to Chi-by-Eye: A Bayesian Analysis of Photometric Binaries in Six Open Clusters
Anna C. Childs, Aaron M. Geller, Ted von Hippel, Erin Motherway, and, Claire Zwicker

TL;DR
This study employs Bayesian analysis of Gaia, Pan-STARRS, and 2MASS data to determine binary star fractions and properties in six open clusters, revealing trends with age, mass, and density.
Contribution
It introduces a robust Bayesian methodology for analyzing photometric binaries in star clusters, providing detailed demographic and evolutionary insights.
Findings
Binary fraction increases with cluster age.
Binary fraction is higher toward cluster centers.
Evidence of mass segregation in binary and single star populations.
Abstract
We present a robust methodology for identifying photometric binaries in star clusters. Using Gaia DR3, Pan-STARRS and 2MASS data, we self-consistently define the cluster parameters and binary demographics for the open clusters (OCs) NGC 2168 (M35), NGC 7789, NGC 6819, NGC 2682 (M67), NGC 188, and NGC 6791. These clusters span in age from ~200 Myr (NGC 2168) to more than ~8 Gyr (NGC 6791) and have all been extensively studied in the literature. We use the Bayesian Analysis of Stellar Evolution software suite (BASE-9) to derive the age, distance, reddening, metallicity, binary fraction, and binary mass-ratio posterior distributions for each cluster. We perform a careful analysis of our completeness and also compare our results to previous spectroscopic surveys. For our sample of main-sequence stars with masses between 0.6 - 1 M_Sun, we find that these OCs have similar binary fractions…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research
