Exoplanet atmosphere evolution: emulation with neural networks. (arXiv:2110.15162v2 [astro-ph.EP] UPDATED)

Atmospheric mass-loss is known to play a leading role in sculpting the
demographics of small, close-in exoplanets. Knowledge of how such planets
evolve allows one to ``rewind the clock'' to infer the conditions in which they
formed. Here, we explore the relationship between a planet's core mass and
their atmospheric mass after protoplanetary disc dispersal by exploiting XUV
photoevaporation as an evolutionary process. Historically, this style of
inference problem would be computationally infeasible due to the large number
of planet …

arxiv astro atmosphere evolution networks neural networks