Abundance of water oceans on high-density exoplanets from coupled interior-atmosphere modeling

Abstract

<p>Liquid water is generally assumed to be the most important factor for the emergence of life, and so a major goal in exoplanet science is the search for planets with water oceans. On terrestrial planets, the silicate mantle is a large source of water, which can be outgassed into the atmosphere via volcanism. Outgassing is subject to a series of feedback processes between atmosphere and interior, which continually shape both atmospheric composition, pressure, and temperature, as well as interior dynamics. For example, water has a high solubility in surface lava, which can strongly limit its outgassing into the atmosphere even at low atmospheric pressures. In contrast, CO<sub>2</sub> can be easily outgassed. This drives up the surface pressure and temperature, potentially preventing further water outgassing [1].</p> <p>We present the results of an extensive parameter study, where we use a newly developed 1D numerical model to simulate the coupled evolution of the atmosphere and interior of terrestrial exoplanets up to 5 Earth masses around Sun-like stars, with internal structures ranging from Moon- to Mercury-like. The model accounts for the main mechanisms controlling the global-scale, long-term evolution of stagnant-lid rocky planets (i.e. bodies without plate tectonics), and it includes a large number of atmosphere-interior feedback processes, such as a CO<sub>2</sub> weathering cycle, volcanic outgassing based on the pressure-dependent solubility of volatiles in surface lava, a water cycle between ocean and atmosphere, greenhouse heating, as well as the influence of a primordial H<sub>2</sub> atmosphere, which can be lost through escape processes. While many atmosphere-interior feedback processes have been studied before in detail (e.g. [2, 3]), we present here a comprehensive model combining the important planetary processes across a wide range of terrestrial planets.</p> <p>We find that a significant majority of high-density exoplanets (i.e. Mercury-like planets with large cores) are able to outgas and sustain water on their surface. In contrast, most planets with intermediate, Earth-like densities either transition into a runaway greenhouse regime due to strong CO<sub>2</sub> outgassing, or retain part of their primordial atmosphere, which prevents water from being outgassed. This suggests that high-density planets could be the most promising targets when searching for suitable candidates for hosting liquid water. Furthermore, the degeneracy of the interior structures of high-density planets is limited compared to that of planets with Earth-like density, which further facilitates the characterization of these bodies, and our results predict largely uniform atmospheric compositions across the range of high-density planets, which could be verified by future spectroscopic measurements.</p> <p> </p> <p>References:</p> <p>[1] Tosi, N. <em>et al.</em> The habitability of a stagnant-lid earth. <em>A&A</em> <strong>605</strong>, A71 (2017).</p> <p>[2] Noack, L., Rivoldini, A. & Van Hoolst, T. Volcanism and outgassing of stagnant-lid planets: Implications for the habitable zone. <em>Physics of the Earth and Planetary Interiors</em> <strong>269</strong>, 40–57 (2017).</p> <p>[3] Foley, B. J. & Smye, A. J. Carbon Cycling and Habitability of Earth-Sized Stagnant Lid Planets. <em>Astrobiology</em> <strong>18</strong>, 873–896 (2018).</p>

Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview

“…185 Within heterogeneous surfaces are microscale regions or patches, each characterized by specific adsorption isotherms due to variations in adsorption energies. 186 Combining GCNNs with mixture density networks (MDNs) 187 allows one to capture the conditional multimodal distribution behaviors across different patches. 188 Convolutional layers may also be used in protein multiscale representation by Geometry-Aware residue-level Relational GNNs considering nearest neighbor edges.…”