Realistic Uncertainties for Fundamental Properties of Asteroseismic Red Giants and the Interplay Between Mixing Length, Metallicity and max

Abstract

Asteroseismic modelling is a powerful way to derive stellar properties. However, the derived quantities are limited by built-in assumptions used in stellar models. This work presents a detailed characterisation of stellar model uncertainties in asteroseismic red giants, focusing on the mixing-length parameter α MLT, the initial helium fraction Y init, the solar abundance scale, and the overshoot parameters. First, we estimate error floors due to model uncertainties to be ≈0.4\% in mass, ≈0.2\% in radius, and ≈17\% in age, primarily due to the uncertain state of α MLT and Y init. The systematic uncertainties in age exceed typical statistical uncertainties, suggesting the importance of their evaluation in asteroseismic applications. Second, we demonstrate that the uncertainties from α MLT can be entirely mitigated by direct radius measurements or partially through max. Utilizing radii from Kepler eclipsing binaries, we determined the α MLT values and calibrated the α MLT--[M/H] relation. The correlation observed between the two variables is positive, consistent with previous studies using 1-D stellar models, but in contrast with outcomes from 3-D simulations. Third, we explore the implications of using asteroseismic modelling to test the max scaling relation. We found that a perceived dependency of max on [M/H] from individual frequency modelling can be largely removed by incorporating the calibrated α MLT--[M/H] relation. Variations in Y init can also affect max predictions. These findings suggest that max conveys information not fully captured by individual frequencies, and that it should be carefully considered as an important observable for asteroseismic modelling.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…