Overcoming the Limitations of the Energy-limited Approximation for Planet Atmospheric Escape

Kubyshkina, D. and Fossati, L. and Erkaev, N. V. and Cubillos, P. E. and Johnstone, C. P. and Kislyakova, K. G. and Lammer, H. and Lendl, M. and Odert, P. (2018) Overcoming the Limitations of the Energy-limited Approximation for Planet Atmospheric Escape. The Astrophysical Journal, 866 (2). L18. ISSN 2041-8213

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Abstract

Studies of planetary atmospheric composition, variability, and evolution require appropriate theoretical and numerical tools to estimate key atmospheric parameters, among which the mass-loss rate is often the most important. In evolutionary studies, it is common to use the energy-limited formula, which is attractive for its simplicity but ignores important physical effects and can be inaccurate in many cases. To overcome this problem, we consider a recently developed grid of about 7000 one-dimensional upper-atmosphere hydrodynamic models computed for a wide range of planets with hydrogen-dominated atmospheres from which we extract the mass-loss rates. The grid boundaries are [1:39] ${M}_{\oplus }$ in planetary mass, [1:10] ${R}_{\oplus }$ in planetary radius, [300:2000] K in equilibrium temperature, [0.4:1.3] ${M}_{\odot }$ in host star's mass, [0.002:1.3] au in orbital separation, and about [1026:5×1030] erg s−1 in stellar X-ray and extreme ultraviolet luminosity. We then derive an analytical expression for the atmospheric mass-loss rates based on a fit to the values obtained from the grid. The expression provides the mass-loss rates as a function of planetary mass, planetary radius, orbital separation, and incident stellar high-energy flux. We show that this expression is a significant improvement to the energy-limited approximation for a wide range of planets. The analytical expression presented here enables significantly more accurate planetary evolution computations without increasing computing time.

Item Type: Article
Subjects: Library Keep > Physics and Astronomy
Depositing User: Unnamed user with email support@librarykeep.com
Date Deposited: 27 Jun 2023 06:59
Last Modified: 31 Oct 2023 06:21
URI: http://archive.jibiology.com/id/eprint/1272

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