The interior of Uranus: Thermal profile, bulk composition and the distribution of rock, water and hydrogen and helium
Luca Morf, Simon M\"uller, Ravit Helled

TL;DR
This study develops improved empirical density profiles of Uranus, interprets them with a new algorithm considering various temperature gradients, and explores different interior compositions to understand Uranus's structure and magnetic field generation.
Contribution
It introduces a novel random algorithm for modeling Uranus's interior, incorporating high-order Theory of Figures and detailed gravitational moment calculations.
Findings
Models with three materials lack deep H-He and have higher water content.
Models with four materials include H-He in the deep interior but are less reliable.
Most models are convective, with some having ionic water layers that may generate magnetic fields.
Abstract
We present improved empirical density profiles of Uranus and interpret them in terms of their temperature and composition using a new random algorithm. The algorithm to determine the temperature and composition is agnostic with respect to the temperature gradient in non-isentropic regions and chooses randomly amongst all possible gradients that are stable against convection and correspond to an Equation of State compatible composition. Our empirical models are based on an efficient implementation of the Theory of Figures up to 10th order including a proper treatment of the atmosphere. The accuracy of 10th order ToF enables us to present accurate calculations of the gravitational moments of Uranus up to : , , , $J_{12} = (-8.4684 \pm…
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