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

Citation

Movshovitz, Naor et al. (2019), A sample of Saturn interior density profiles derived with MCMC and gravity-based likelihood., v2, UC Santa Cruz, Dataset, https://doi.org/10.7291/D1P07G

Abstract

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 J2 and J4 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.