Bayesian Investigation of Isochrone Consistency Using the Old Open Cluster NGC 188
Shane Hills (Queen's), Ted von Hippel (ERAU), Stephane Courteau, (Queen's), Aaron M. Geller (Northwestern, the University of Chicago)

TL;DR
This study uses Bayesian methods to compare stellar evolution models and photometric data for the old open cluster NGC 188, revealing inconsistencies and uncertainties in derived parameters across different models and filter combinations.
Contribution
It provides a comprehensive Bayesian analysis of multiple stellar models and photometric datasets for NGC 188, highlighting discrepancies and the need for improved modeling and data.
Findings
Different filter combinations yield inconsistent cluster parameters.
Model choices significantly affect derived age and metallicity.
Bayesian fitting reveals substantial differences among models.
Abstract
This paper provides a detailed comparison of the differences in parameters derived for a star cluster from its color-magnitude diagrams depending on the filters and models used. We examine the consistency and reliability of fitting three widely-used stellar evolution models to fifteen combinations of optical and near-IR photometry for the old open cluster NGC 188. The optical filter response curves match those of the theoretical systems and are thus not the source of fit inconsistencies. NGC 188 is ideally suited to the present study thanks to a wide variety of high-quality photometry and available proper motions and radial velocities which enable us to remove non-cluster members and many binaries. Our Bayesian fitting technique yields inferred values of age, metallicity, distance modulus, and absorption as a function of the photometric band combinations and stellar models. We show that…
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