Bayesian Evolution Models for Jupiter with Helium Rain and Double-diffusive Convection
Christopher Mankovich, Jonathan J. Fortney, and Kevin L. Moore

TL;DR
This paper models Jupiter's thermal evolution considering helium rain and double-diffusive convection, reconciling observational data with phase diagrams and exploring parameter spaces using MCMC.
Contribution
It introduces a comprehensive evolutionary model of Jupiter incorporating helium immiscibility, double-diffusive convection, and Bayesian analysis to constrain interior properties.
Findings
Models can match Jupiter's flux, helium content, and radius with appropriate phase diagrams.
Inefficient ODDC leads to a thermal boundary layer and rapid cooling of the molecular envelope.
Models favor a colder-than-SCvH-I EOS, with modest superadiabaticity.
Abstract
Hydrogen and helium demix when sufficiently cool, and this bears on the evolution of all giant planets at large separations at or below roughly a Jupiter mass. We model the thermal evolution of Jupiter, including its evolving helium distribution following results of ab initio simulations for helium immiscibility in metallic hydrogen. After 4 Gyr of homogeneous evolution, differentiation establishes a thin helium gradient below 1 Mbar that dynamically stabilizes the fluid to convection. The region undergoes overstable double-diffusive convection (ODDC), whose weak heat transport maintains a superadiabatic temperature gradient. With a generic parameterization for the ODDC efficiency, the models can reconcile Jupiter's intrinsic flux, atmospheric helium content, and radius at the age of the solar system if the Lorenzen et al. H-He phase diagram is translated to lower temperatures. We cast…
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