How well can asteroseismology characterise red-giant stars?

This poster reports on the typical precision and accuracy of the parameters of red-giant branch stars determined via asteroseismic detailed modelling. Adopting global seismic parameters and individual mode frequencies as constraints, we modelled thousands of Kepler targets, obtaining typical uncertainties of 2.9% for the mass, 11% for the age, 1.0% for the radius, 0.0039 dex for the surface gravity, and 0.5% for the helium-core mass, making this the best-characterised large sample of red-giant stars available to date. We also validate the accuracy of our modelling inference using eclipsing binaries and members of an open cluster (M67). We find good consistency between seismic determinations and parameter estimates from other methods.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-04
DOI
https://doi.org/10.5281/zenodo.13207830
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
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article

How well can asteroseismology characterise red-giant stars?

Zenodo (CERN European Organization for Nuclear Research)
Stellar, planetary, and galactic studies
article

How well can asteroseismology characterise red-giant stars?

article en

Abstract

This poster reports on the typical precision and accuracy of the parameters of red-giant branch stars determined via asteroseismic detailed modelling. Adopting global seismic parameters and individual mode frequencies as constraints, we modelled thousands of Kepler targets, obtaining typical uncertainties of 2.9% for the mass, 11% for the age, 1.0% for the radius, 0.0039 dex for the surface gravity, and 0.5% for the helium-core mass, making this the best-characterised large sample of red-giant stars available to date. We also validate the accuracy of our modelling inference using eclipsing binaries and members of an open cluster (M67). We find good consistency between seismic determinations and parameter estimates from other methods.

Zenodo (CERN European Organization for Nuclear Research)
Beijing Normal University (CN)
Openalex Percentile: Top 74%
Stellar, planetary, and galactic studies
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