KIC 4150611: A quadruply eclipsing heptuple star system with a g-mode period-spacing pattern Asteroseismic modelling of the g-mode period-spacing pattern
Alex Kemp, Dario J Fritzewski, Timothy Van Reeth, Luc IJspeert,, Mathias Michielsen, Joey Mombarg, Vincent Vanlaer, Gang Li, Andrew Tkachenko,, Conny Aerts

TL;DR
This study uses asteroseismic analysis with neural networks and MCMC methods to precisely determine the stellar parameters of a primary star in a complex star system, confirming its properties and age.
Contribution
It introduces a novel combination of neural network-based asteroseismic modelling with classical MCMC analysis for detailed stellar parameter estimation.
Findings
Stellar parameters for Aa are precisely estimated and consistent with external constraints.
Aa is a typical gamma Dor star with near-rigid rotation.
Asteroseismic age (1100 Myr) is older than previous isochrone estimates.
Abstract
In this work, we aim to estimate the stellar parameters of the primary (Aa) by performing asteroseismic analysis on its period-spacing pattern. We use the C-3PO neural network to perform asteroseismic modelling of the g-mode period-spacing pattern of Aa, discussing the interplay of this information with external constraints from spectroscopy ( and ) and eclipse modelling (). To estimate the level of uncertainty due to different frequency extraction and pattern identification processes, we consider four different variations on the period-spacing patterns. To better understand the correlations between and the uncertainty structure of our parameter estimates, we also employed a classical, parameter-based MCMC grid search on four different stellar grids. The best-fitting, externally constrained model to the period-spacing pattern arrives at estimates of the stellar…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Geological and Geophysical Studies
