| 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 | 03010 | |
| Number of page(s) | 4 | |
| Section | Seismology: Stars Near and in The Main Sequence | |
| DOI | https://doi.org/10.1051/epjconf/201716003010 | |
| Published online | 27 October 2017 | |
https://doi.org/10.1051/epjconf/201716003010
A fitting LEGACY – modelling Kepler's best stars
1
Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Denmark
2
School of Physics and Astronomy, University of Birmingham, UK
3
Institute of Astronomy & Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK
⋆ e-mail: mja@phys.au.dk
⋆⋆ e-mail: jcd@phys.au.dk
Published online: 27 October 2017
The LEGACY sample represents the best solar-like stars observed in the Kepler mission[5, 8]. The 66 stars in the sample are all on the main sequence or only slightly more evolved. They each have more than one year's observation data in short cadence, allowing for precise extraction of individual frequencies. Here we present model fits using a modified ASTFIT procedure employing two different near-surface-effect corrections, one by Christensen-Dalsgaard[4] and a newer correction proposed by Ball & Gizon[1]. We then compare the results obtained using the different corrections. We find that using the latter correction yields lower masses and significantly lower χ2 values for a large part of the sample.
© 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.