Issue |
A&A
Volume 674, June 2023
|
|
---|---|---|
Article Number | A62 | |
Number of page(s) | 19 | |
Section | Stellar atmospheres | |
DOI | https://doi.org/10.1051/0004-6361/202245370 | |
Published online | 01 June 2023 |
Imaging the innermost gaseous layers of the Mira star R Car with GRAVITY-VLTI★
1
Instituto de Astronomía, Universidad Nacional Autónoma de México, Apdo. Postal 70264,
Ciudad de Mexico
04510,
Mexico
e-mail: jarosales@astro.unam.mx
2
Max-Planck-Institut für Astronomie,
Königstuhl 17,
69117
Heidelberg, Germany
3
European Southern Observatory (ESO),
Alonso de Córdova 3107,
Vitacura, Santiago, Chile
4
Instituto de Astrofísica de Andalucía, Glorieta de la Astronomía s/n,
18008
Granada, Spain
5
Institute of Astronomy, KU Leuven, Celestijnenlaan 200D B2401,
3001
Leuven, Belgium
6
European Southern Observatory (ESO),
Karl-Schwarzschild-Str. 2,
85748
Garching bei München, Germany
7
Astrophysics Research Institute, Liverpool John Moores University,
146 Brownlow Hill,
Liverpool
L3 5RF, UK
8
LESIA, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Université Paris Cité,
5 place Jules Janssen,
92195
Meudon, France
Received:
3
November
2022
Accepted:
26
February
2023
Context. The mass-loss mechanisms in M-type asymptotic giant branch (AGB) stars are still not well understood; these include, in particular, the formation of dust-driven winds from the innermost gaseous layers around these stars. One way to understand the gas-dust interaction in these regions and its impact on the mass-loss mechanisms is through the analysis of high-resolution observations of the stellar surface and its closest environment.
Aims. We aim to characterize the inner circumstellar environment (~3 R*) of the M-type Mira star R Car in the near-infrared at different phases of a pulsation period.
Methods. We used GRAVITY interferometric observations in the K band obtained during two different epochs over 2018. Those data were analyzed using parametric models and image reconstruction of both the pseudo-continuum and the CO band heads observed. The reported data are the highest angular resolution observations on the source in the K band.
Results. We determined sizes of R Car’s stellar disk of 16.67 ± 0.05 mas (3.03 au) in January 2018 and 14.84 ± 0.06 mas (2.70 au) in February, 2018, respectively. From our physical model, we determined temperatures and size ranges for the innermost CO layer detected around R Car. The derived column density of the CO is in the ~9.18×1018–1×1019 cm−2 range, which is sufficient to permit dust nucleation and the formation of stable dust-driven winds. We find that magnesium composites, Mg2SiO4 and MgSiO3, have temperatures and condensation distances consistent with the ones obtained for the CO layer model and pure-line reconstructed images, which are the dust types most likely to be responsible for wind formation. Our reconstructed images show evidence of asymmetrical and inhomogeneous structures, which might trace a complex and perhaps clumpy structure of the CO molecule distribution.
Conclusions. Our work demonstrates that the conditions for dust nucleation and thus for initialising dust-driven winds in M-type AGB stars are met in R Car, and we identify magnesium composites as the most probable candidates. We find structural changes between two observing epochs (which are separated by ~10% of the full pulsation period of the star) and evidence of the effects of asymmetries and clumpiness. This observational evidence is crucial to constraining the role of convection and pulsation in M-type stars.
Key words: techniques: interferometric / stars: AGB and post-AGB / stars: imaging / stars: winds / outflows / techniques: high angular resolution / stars: atmospheres
The calibrated GRAVITY data used in this work are available at the Optical Interferometric Database of the Jean-Marie Mariotti Center (JMMC). Examples of the Python code used for optimizing the uniform disk model described in Sect. 3.1, the MOLsphere model in Sect. 3.2, the bootstrapping method described in Sect. 3.3.1, and the PCA analysis described in Sect. 3.3.2 are available to the reader in this Github repository: https://github.com/abelrg25/RCar_GRAVITY.
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
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.