Bayesian Analysis of Hot Jupiter Radius Anomalies: Evidence for Ohmic Dissipation?
Daniel P. Thorngren, Jonathan J. Fortney

TL;DR
This study uses Bayesian analysis of a large hot Jupiter sample to characterize radius inflation as a function of incident flux, finding evidence supporting Ohmic dissipation as the primary inflation mechanism.
Contribution
It introduces a Bayesian framework to quantify the anomalous heating function $psilon(F)$ and provides observational evidence favoring the Ohmic dissipation model over alternatives.
Findings
Inflation efficiency peaks at about 1500 K and decreases at higher temperatures.
The observed radius distribution aligns with the Ohmic dissipation model predictions.
Thermal tides model predicts too much variability, inconsistent with observations.
Abstract
The cause of hot Jupiter radius inflation, where giant planets with K are significantly larger than expected, is an open question and the subject of many proposed explanations. Rather than examine these models individually, this work seeks to characterize the anomalous heating as a function of incident flux, , needed to inflate the population of planets to their observed sizes. We then compare that result to theoretical predictions for various models. We examine the population of about 300 giant planets with well-determined masses and radii and apply thermal evolution and Bayesian statistical models to infer the anomalous power as a function of incident flux that best reproduces the observed radii. First, we observe that the inflation of planets below about M=0.5 \;\rm{M}_\rm{J} appears very different than their higher mass counterparts, perhaps as…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
