The gravity field of a giant planet is typically our best window into its interior structure and composition. Through comparison of a model planet's calculated gravitational potential with the observed potential, inferences can be made about interior quantities, including possible composition and the existence of a core. Necessarily, a host of assumptions go into such calculations, making every inference about a giant planet's structure strongly model dependent. In this work, we present a more general picture by setting Saturn's gravity field, as measured during the Cassini Grand Finale, as a likelihood function driving a Markov Chain Monte Carlo exploration of the possible interior density profiles. The result is a posterior distribution o...
Aims. Using a generalized Bayesian inference method, we aim to explore the possible interi...
Context. Exoplanet characterization is one of the main foci of current exoplanetary science. For sup...
Aims. We present an inversion method based on Bayesian analysis to constrain the interior structure ...
The gravity field of a giant planet is typically our best window into its interior structure and com...
We review our current understanding of the interior structure and thermal evolution of Saturn, with ...
Context. Measurements of Saturn’s gravity field by Cassini Grand Finale have been acquired with high...
This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Planetary...
Interior modeling of Jupiter and Saturn has advanced to a state where thousands of models are genera...
Although there are now over 10,000 confirmed and candidate extrasolar planets, accurate masses and r...
The accurate determination of Saturn’s gravitational coefficients by Cassini could provide tighter c...
The Cassini spacecraft's Grand Finale orbits provided a unique opportunity to probe Saturn's gravity...
We summarize the principal observational data that constrain interior models of Saturn, and explain...
The Juno spacecraft has measured Jupiter's low-order, even gravitational moments, J2–J8, to an unpre...
The recent determination of the gravity field of Mercury and new Earth-based radar observations of t...
We ran a Markov-Chain Monte Carlo algorithm to derive the posterior distribution of density profiles...
Aims. Using a generalized Bayesian inference method, we aim to explore the possible interi...
Context. Exoplanet characterization is one of the main foci of current exoplanetary science. For sup...
Aims. We present an inversion method based on Bayesian analysis to constrain the interior structure ...
The gravity field of a giant planet is typically our best window into its interior structure and com...
We review our current understanding of the interior structure and thermal evolution of Saturn, with ...
Context. Measurements of Saturn’s gravity field by Cassini Grand Finale have been acquired with high...
This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Planetary...
Interior modeling of Jupiter and Saturn has advanced to a state where thousands of models are genera...
Although there are now over 10,000 confirmed and candidate extrasolar planets, accurate masses and r...
The accurate determination of Saturn’s gravitational coefficients by Cassini could provide tighter c...
The Cassini spacecraft's Grand Finale orbits provided a unique opportunity to probe Saturn's gravity...
We summarize the principal observational data that constrain interior models of Saturn, and explain...
The Juno spacecraft has measured Jupiter's low-order, even gravitational moments, J2–J8, to an unpre...
The recent determination of the gravity field of Mercury and new Earth-based radar observations of t...
We ran a Markov-Chain Monte Carlo algorithm to derive the posterior distribution of density profiles...
Aims. Using a generalized Bayesian inference method, we aim to explore the possible interi...
Context. Exoplanet characterization is one of the main foci of current exoplanetary science. For sup...
Aims. We present an inversion method based on Bayesian analysis to constrain the interior structure ...