A Monte Carlo Method for Evaluating Empirical Gyrochronology Models and its Application to Wide Binary Benchmarks
Tomomi Otani (1), Ted von Hippel (1), Derek Buzasi (2), T. D. Oswalt, (1), Alexander Stone-Martinez (1, 3), and Patrice Majewski (1, 4) ((1), Embry-Riddle Aeronautical University, Daytona Beach, United States (2), Florida Gulf Coast University, Fort Myers

TL;DR
This paper introduces a Monte Carlo method to evaluate and improve gyrochronology models for estimating stellar ages, especially for older and lower-mass stars, using wide binary star systems.
Contribution
It presents a novel Monte Carlo approach for testing and assessing the accuracy of gyrochronology models with binary star data, extending their validation to older and lower-mass stars.
Findings
Age uncertainties are 15-20% for stars with B-V=0.65.
Age uncertainties are 5-10% for stars with B-V=1.5 and P ≤ 20 days.
The method provides a way to empirically test and refine stellar age models.
Abstract
Accurate stellar ages are essential for our understanding of the star formation history of the Milky Way, Galactic chemical evolution, and to constrain exoplanet formation models. Gyrochronology, a relationship between stellar rotation and age, appears to offer a reliable age indicator for main sequence (MS) stars over the mass range of approximately 0.6 to 1.3 . Those stars lose their angular momentum due to magnetic braking and as a result, their rotation speeds decrease with age. Although current gyrochronology relations are fairly well tested for young MS stars with masses greater than 1 , primarily in young open clusters, insufficient tests exist for older and lower mass MS stars. Binary stars offer the potential to expand and fill in the range of ages and metallicity over which gyrochronology can be empirically tested. In this paper, we demonstrate a Monte Carlo…
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