A generalized Bayesian inference method for constraining the interiors of super Earths and sub-Neptunes

Author: Dorn Caroline   Venturini Julia   Khan Amir   Heng Kevin   Alibert Yann   Helled Ravit   Rivoldini Attilio   Benz Willy  

Publisher: Edp Sciences

E-ISSN: 1432-0746|597|issue|A37-A37

ISSN: 0004-6361

Source: Astronomy & Astrophysics, Vol.597, Iss.issue, 2016-12, pp. : A37-A37

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Abstract

Aims. We aim to present a generalized Bayesian inference method for constraining interiors of super Earths and sub-Neptunes. Our methodology succeeds in quantifying the degeneracy and correlation of structural parameters for high dimensional parameter spaces. Specifically, we identify what constraints can be placed on composition and thickness of core, mantle, ice, ocean, and atmospheric layers given observations of mass, radius, and bulk refractory abundance constraints (Fe, Mg, Si) from observations of the host star’s photospheric composition.

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