TL;DR
This paper introduces a probabilistic method for analyzing stellar binary populations in clusters, applied to Gaia data of M67, revealing the binary frequency and mass-ratio distribution with improved modeling of CMDs.
Contribution
A new probabilistic generative modeling approach for stellar CMDs that accurately infers binary star frequency and mass-ratio distribution in clusters.
Findings
Binary star frequency with q > 0.5 is approximately 0.258.
Mass-ratio distribution increases towards higher q for q > 0.3.
Method successfully applied to Gaia data of M67.
Abstract
We present a new method for probabilistic generative modelling of stellar colour-magnitude diagrams (CMDs) to infer the frequency of binary stars and their mass-ratio distribution. The method invokes a mixture model to account for overlapping populations of single stars, binaries and outliers in the CMD. We apply the model to Gaia observations of the old open cluster, M67, and find a frequency for binary stars with mass ratio greater than 0.5. The form of the mass-ratio distribution function rises towards higher mass ratios for .
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