Issue |
A&A
Volume 580, August 2015
|
|
---|---|---|
Article Number | A141 | |
Number of page(s) | 14 | |
Section | Stellar structure and evolution | |
DOI | https://doi.org/10.1051/0004-6361/201525856 | |
Published online | 21 August 2015 |
Models of red giants in the CoRoT asteroseismology fields combining asteroseismic and spectroscopic constraints
1
School of Physics and Astronomy, University of Birmingham,
Edgbaston, Birmingham
B15 2TT, UK
e-mail:
lagarde@bison.ph.bham.ac.uk
2
Stellar Astrophysics Centre (SAC), Department of Physics and
Astronomy, Aarhus University, Ny
Munkegade 120, 8000
Aarhus C,
Denmark
3
Geneva Observatory, University of Geneva,
Chemin des Maillettes 51,
1290
Versoix,
Switzerland
4
Institut d’Astrophysique et de Géophysique, Université de
Liège, Allée du 6 Août, Bât.
B5c, 4000
Liège,
Belgium
5
Departement of Physics and Astronomy G. Galilei, University of
Padova, Vicolo dell’Osservatorio
3, 35122
Padova,
Italy
6
LESIA, Observatoire de Paris, PSL Research University, CNRS,
Université Pierre et Marie Curie, Université Denis Diderot,
92195
Meudon Cedex,
France
7
Osservatorio Astronomico di Padova INAF,
Vicolo dell’Osservatorio 5,
35122
Padova,
Italy
8
Laboratório Interinstitucional de e-Astronomia,
LIneA, Rua Gal. Jose Cristino
77, 20921-400
Rio de Janeiro, RJ, Brazil
9
INAF–Osservatorio Astronomico di Brera,
via E. Bianchi 46, 23807
Merate ( LC), Italy
10
Astronomical Institute “Anton Pannekoek”, University of
Amsterdam, Science Park
904, 1098 XH
Amsterdam, The
Netherlands
11
Max-Planck-Institut für Sonnensystemforschung,
Justus-von-Liebig-Weg 3,
37077
Göttingen,
Germany
12
Katholieke Universiteit Leuven, Departement Natuurkunde en
Sterrenkunde, Instituut voor
Sterrenkunde, Celestijnenlaan 200D, 3001
Leuven,
Belgium
13
Institute for Astrophysics, University of Vienna,
Türkenschanzstrasse 17,
1180
Vienna,
Austria
14
Leibniz-Institut für Astrophysik Potsdam (AIP),
An der Sternwarte 16,
14482
Potsdam,
Germany
Received: 10 February 2015
Accepted: 3 May 2015
Context. The availability of asteroseismic constraints for a large sample of red giant stars from the CoRoT and Kepler missions paves the way for various statistical studies of the seismic properties of stellar populations.
Aims. We use a detailed spectroscopic study of 19 CoRoT red giant stars to compare theoretical stellar evolution models to observations of the open cluster NGC 6633 and field stars.
Methods. In order to explore the effects of rotation-induced mixing and thermohaline instability, we compare surface abundances of carbon isotopic ratio and lithium with stellar evolution predictions. These chemicals are sensitive to extra-mixing on the red giant branch.
Results. We estimate mass, radius, and distance for each star using the seismic constraints. We note that the Hipparcos and seismic distances are different. However, the uncertainties are such that this may not be significant. Although the seismic distances for the cluster members are self consistent they are somewhat larger than the Hipparcos distance. This is an issue that should be considered elsewhere. Models including thermohaline instability and rotation-induced mixing, together with the seismically determined masses can explain the chemical properties of red giant targets. However, with this sample of stars we cannot perform stringent tests of the current stellar models. Tighter constraints on the physics of the models would require the measurement of the core and surface rotation rates, and of the period spacing of gravity-dominated mixed modes. A larger number of stars with longer times series, as provided by Kepler or expected with Plato, would help ensemble asteroseismology.
Key words: asteroseismology / stars: abundances / stars: evolution / stars: rotation / stars: interiors
© ESO, 2015
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.