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

Naor Movshovitz, Jonathan Fortney, Chris Mankovich, Daniel Thorngren & Ravit Helled
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...
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33 downloads reported since publication in 2019.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?