Fundamental Parameters of Main-Sequence Stars in an Instant with Machine Learning

Abstract

Owing to the remarkable photometric precision of space observatories like Kepler, stellar and planetary systems beyond our own are now being characterized en masse for the first time. These characterizations are pivotal for endeavors such as searching for Earth-like planets and solar twins, understanding the mechanisms that govern stellar evolution, and tracing the dynamics of our Galaxy. The volume of data that is becoming available, however, brings with it the need to process this information accurately and rapidly. While existing methods can constrain fundamental stellar parameters such as ages, masses, and radii from these observations, they require substantial computational efforts to do so. We develop a method based on machine learning for rapidly estimating fundamental parameters of main-sequence solar-like stars from classical and asteroseismic observations. We first demonstrate this method on a hare-and-hound exercise and then apply it to the Sun, 16 Cyg A & B, and 34 planet-hosting candidates that have been observed by the Kepler spacecraft. We find that our estimates and their associated uncertainties are comparable to the results of other methods, but with the additional benefit of being able to explore many more stellar parameters while using much less computation time. We furthermore use this method to present evidence for an empirical diffusion-mass relation. Our method is open source and freely available for the community to use. The source code for all analyses and for all figures appearing in this manuscript can be found electronically at https://github.com/earlbellinger/asteroseismology

26 pages, 18 figures, accepted for publication in ApJ

References in corpus (11)

• Modules for Experiments in Stellar Astrophysics (MESA)
• The Transiting Exoplanet Survey Satellite
• ADIPLS -- the Aarhus adiabatic oscillation package
• Pulkovo Compilation of Radial Velocities for 35495 Hipparcos Stars in a Common System
• YREC: The Yale Rotating Stellar Evolution Code
• An ancient extrasolar system with five sub-Earth-size planets
• A Stellar Model-fitting Pipeline for Asteroseismic Data from the Kepler Mission
• Solving the discrepancy between the seismic and photospheric solar radius
• Asteroseismic estimate of helium abundance of a solar analog binary system
• Why should we correct reported pulsation frequencies for stellar line-of-sight Doppler velocity shifts?
• New Observational Constraints to Milky Way Chemodynamical models

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