Can we constrain interior structure of rocky exoplanets from mass and radius measurements?
Caroline Dorn, Amir Khan, Kevin Heng, Yann Alibert, James A. D., Connolly, Willy Benz, Paul Tackley

TL;DR
This paper introduces a Bayesian inversion method to determine the interior structure of rocky exoplanets using mass, radius, and stellar elemental data, highlighting the importance of precise stellar abundances.
Contribution
It develops a probabilistic framework that accounts for uncertainties and assesses how observational data constrain planetary interior models.
Findings
Mass and radius constrain core size.
Stellar abundances reduce model degeneracy.
Degeneracy depends on planet size and density.
Abstract
We present an inversion method based on Bayesian analysis to constrain the interior structure of terrestrial exoplanets, in the form of chemical composition of the mantle and core size. Specifically, we identify what parts of the interior structure of terrestrial exoplanets can be determined from observations of mass, radius, and stellar elemental abundances. We perform a full probabilistic inverse analysis to formally account for observational and model uncertainties and obtain confidence regions of interior structure models. This enables us to characterize how model variability depends on data and associated uncertainties. We test our method on terrestrial solar system planets and find that our model predictions are consistent with independent estimates. Furthermore, we apply our method to synthetic exoplanets up to 10 Earth masses and up to 1.7 Earth radii as well as to exoplanet…
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