Issue |
A&A
Volume 669, January 2023
|
|
---|---|---|
Article Number | A24 | |
Number of page(s) | 11 | |
Section | Planets and planetary systems | |
DOI | https://doi.org/10.1051/0004-6361/202244827 | |
Published online | 23 December 2022 |
Towards a new era in giant exoplanet characterisation
Center for Theoretical Astrophysics and Cosmology Institute for Computational Science, University of Zürich
Winterthurerstrasse 190,
8057
Zürich, Switzerland
e-mail: simonandres.mueller@uzh.ch
Received:
29
August
2022
Accepted:
2
November
2022
Determining the composition of giant exoplanets is crucial for understanding their origin and evolution. However, planetary bulk composition is not measured directly but must be deduced from a combination of mass-radius measurements, knowledge of the planetary age and evolution simulations. Accurate determinations of stellar ages, mass-radius measurements, and atmospheric compositions from upcoming missions can significantly improve the determination of the heavy-element mass in giant planets. In this paper we first demonstrate the importance of an accurate age measurement, as expected from Plato, in constraining planetary properties. Well-determined stellar ages can reduce the bulk-metallicity uncertainty by up to a factor of two. We next infer the bulk metallicity of warm giants from the Ariel mission reference sample and identify the Ariel high-priority targets for which a measured atmospheric metallicity can clearly break the degeneracy in the inferred composition. We show that knowledge of the atmospheric metallicity can broadly reduce the bulk-metallicity uncertainty by a factor of four to eight. We conclude that accurate age determinations from Plato and atmospheric measurements by Ariel and the James Webb Space Telescope will play a key role in revealing the composition of giant exoplanets.
Key words: planets and satellites: gaseous planets / planets and satellites: interiors / planets and satellites: composition / planets and satellites: physical evolution / methods: numerical
© The Authors 2022
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.
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