Issue |
EPJ Web Conf.
Volume 160, 2017
Seismology of the Sun and the Distant Stars 2016 – Using Today’s Successes to Prepare the Future – TASC2 & KASC9 Workshop – SPACEINN & HELAS8 Conference
|
|
---|---|---|
Article Number | 04006 | |
Number of page(s) | 4 | |
Section | Seismology: Stars Beyond The Main Sequence | |
DOI | https://doi.org/10.1051/epjconf/201716004006 | |
Published online | 27 October 2017 |
https://doi.org/10.1051/epjconf/201716004006
Evolutionary states of red-giant stars from grid-based modelling
1
Max Planck Institute for Solar System Research, Göttingen, Germany
2
Stellar Astrophysics Centre, Aarhus Denmark
3
University of Birmingham, Birmingham United Kingdom
4
Yale University, New Haven United States of America
⋆ e-mail: Hekker@mps.mpg.de
Published online: 27 October 2017
From its surface properties it can be difficult to determine whether a red-giant star is in its heliumcore-burning phase or only burning hydrogen in a shell around an inert helium core. Stars in either of these stages can have similar effective temperatures, radii and hence luminosities, i.e. they can be located at the same position in the Hertzsprung-Russell diagram. Asteroseismology – the study of the internal structure of stars through their global oscillations – can provide the necessary additional constraints to determine the evolutionary states of red-giant stars. Here, we present a method that uses grid-based modelling based on global asteroseismic properties (vmax, frequency of maximum oscillation power; and Δv, frequency spacing between modes of the same degree and consecutive radial orders) as well as effective temperature and metallicity to determine the evolutionary phases. This method is applicable even to timeseries data of limited length, although with a small fraction of miss-classifications.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.