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Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
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How well can asteroseismology characterise red-giant stars?

Authors: Li, Tanda;

How well can asteroseismology characterise red-giant stars?

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green