TL;DR
This paper presents and validates an analytical model for stellar period spacings across the HR diagram, enabling improved inference of core properties and chemical gradients from asteroseismic data.
Contribution
It introduces a non-sinusoidal analytical expression for period spacings that accounts for buoyancy glitches, validated against stellar model data with and without glitches.
Findings
Accurately infers glitch position and width with less than 7% error.
Reproduces mixed-mode period spacings and reveals frequency dependence of coupling coefficient.
Suggests a method to estimate pure acoustic mode frequencies from mixed-mode data.
Abstract
The characterisation of stellar cores may be accomplished through the modelling of asteroseismic data from stars exhibiting either gravity-mode or mixed-mode pulsations, potentially shedding light on the physical processes responsible for the production, mixing, and segregation of chemical elements. In this work we validate against model data an analytical expression for the period spacing that will facilitate the inference of the properties of stellar cores, including the detection and characterisation of buoyancy glitches (strong chemical gradients). This asymptotically-based analytical expression is tested both in models with and without buoyancy glitches. It does not assume that glitches are small and, consequently, predicts non-sinusoidal glitch-induced period-spacing variations, as often seen in model and real data. We show that the glitch position and width inferred from the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
