A sample of Saturn interior density profiles derived with MCMC and gravity-based likelihood.

We ran a Markov-Chain Monte Carlo algorithm to derive the posterior distribution of density profiles for Saturn, where the likelihood function was a chi-squared distributed distance of each curve's gravity coefficients from the values reported for that planet by the Cassini radio science team (Iess et al., 2019). The result is a large sample of interior profiles of Saturn consistent with observation and minimally constrained by model assumptions. This sample is archived here in sufficiently raw form to, (a) allow anyone to reproduce or invalidate our sampling method, and (b) allow additional analysis by interested researchers to make further inferences based on existing data, without the need to repeat the computationally difficult MCMC sampling procedure.

A full description of the work behind this dataset can be found in arxiv https://arxiv.org/abs/1912.02137