Investigating hot-Jupiter inflated radii with hierarchical Bayesian modelling
Marko Sestovic (1, 2), Brice-Olivier Demory (1), Didier Queloz (2, 3), ((1) Center for Space, Habitability, University of Bern, Switzerland, (2), Astrophysics Group, Cavendish Laboratory, Cambridge, UK, (3) Observatoire de, Geneve, Universite de Geneve, Switzerland)

TL;DR
This study uses hierarchical Bayesian modeling to analyze the relationships between hot Jupiter radii, mass, and stellar irradiation, revealing key mass-dependent inflation behaviors and intrinsic scatter in exoplanet populations.
Contribution
It introduces a hierarchical Bayesian approach to quantify the probabilistic relations and intrinsic scatter in hot Jupiter radii, accounting for observational uncertainties and unobservable parameters.
Findings
Planetary mass significantly influences radius inflation.
Inflated radii are limited below 1.4 RJ at high incident flux for low-mass planets.
No non-inflated hot Jupiters are found at high incident flux in the studied mass range.
Abstract
As of today, hundreds of hot Jupiters have been found, yet the inflated radii of a large fraction of them remain unexplained. It is still unclear whether a single inflation mechanism is enough to explain the entire distribution of radii, or whether a combination of them is needed. We seek to understand the relationship of hot Jupiter radii with stellar irradiation and mass. We also aim to find the intrinsic physical scatter in their radii caused by unobservable parameters. By constructing a hierarchical Bayesian model, we infer the probabilistic relation between planet radius, mass and incident flux for a sample of 286 gas giants. We separately incorporate the observational uncertainties of the data and the intrinsic physical scatter in the population. This allows us to treat the intrinsic physical scatter in radii (due to latent parameters such as the heavy element fraction) as a…
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