Using Ly α transits to constrain models of atmospheric escape
File(s)stae1976.pdf (6.22 MB)
Published version
Author(s)
Schreyer, Ethan
Owen, James E
Loyd, RO Parke
Murray-Clay, Ruth
Type
Journal Article
Abstract
Ly α transits provide an opportunity to test models of atmospheric escape directly. However, translating observations into constraints on the properties of the escaping atmosphere is challenging. The major reason for this is that the observable parts of the outflow often comes from material outside the planet’s Hill sphere, where the interaction between the planetary outflow and circumstellar environment is important. As a result, 3D models are required to match observations. Whilst 3D hydrodynamic simulations are able to match observational features qualitatively, they are too computationally expensive to perform a statistical retrieval of properties of the outflow. Here, we develop a model that determines the trajectory, ionization state, and 3D geometry of the outflow as a function of its properties and system parameters. We then couple this model to a ray tracing routine in order to produce synthetic transits. We demonstrate the validity of this approach, reproducing the trajectory of the outflows seen in 3D simulations. We illustrate the use of this model by performing a retrieval on the transit spectrum of GJ 436 b. The bound on planetary outflow velocity and mass-loss rates are consistent with a photoevaporative wind.
Date Issued
2024-09
Date Acceptance
2024-08-06
Citation
Monthly Notices of the Royal Astronomical Society, 2024, 533 (3), pp.3296-3311
ISSN
0035-8711
Publisher
Oxford University Press
Start Page
3296
End Page
3311
Journal / Book Title
Monthly Notices of the Royal Astronomical Society
Volume
533
Issue
3
Copyright Statement
© The Author(s) 2024. Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article
distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
http://dx.doi.org/10.1093/mnras/stae1976
Publication Status
Published
Date Publish Online
2024-08-17