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 | 03007 | |
Number of page(s) | 4 | |
Section | Seismology: Stars Near and in The Main Sequence | |
DOI | https://doi.org/10.1051/epjconf/201716003007 | |
Published online | 27 October 2017 |
https://doi.org/10.1051/epjconf/201716003007
Seismic inference of 57 stars using full-length Kepler data sets
1
Université Côte d'Azur, Laboratoire Lagrange, CNRS, Blvd de l'Observatoire, CS 34229, Nice cedex 4, 06304 France
2
Center for Extrasolar Planetary Systems, Space Science Institute, 4750 Walnut St. Suite 205, Boulder CO, 80301, USA
3
Visiting Scientist, National Solar Observatory, 3665 Discovery Dr., Boulder CO 80303, USA
4
Laboratoire AIM, CEA/DRF-CNRS, Université Paris 7 Diderot, IRFU/SAp, Centre de Saclay, Gif-sur-Yvette, 91191 France
5
Center for Space Science, NYUAD Institute, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE
6
Computational & Information Systems Laboratory, NCAR, P.O. Box 3000, Boulder CO 80307, USA
⋆ e-mail: ocreevey@oca.eu
Published online: 27 October 2017
We present stellar properties of 57 stars from a seismic inference using full-length data sets from Kepler (mass, age, radius, distances). These stars comprise active stars, planet-hosts, solar-analogs, and binary systems. We validate the distances derived from the astrometric Gaia-Tycho solution. Ensemble analysis of the stellar properties reveals a trend of mixing-length parameter with the surface gravity and effective temperature. We derive a linear relationship with the seismic quantity ‹r02› to estimate the stellar age. Finally, we define the stellar regimes where the Kjeldsen et al (2008) empirical surface correction for 1D model frequencies is valid.
Visiting Scientist at https://amp.phys.au.dk/
© 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.