First use of the learned harmonic mean estimator for Bayesian model selection across circular/eccentric, white-noise/GP, and trend variants in radial velocity exoplanet analyses.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
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astro-ph.EP 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
JWST data on NGTS-10A b shows nightside CH4 depletion caused by day-to-night horizontal transport rather than vertical mixing or non-solar abundances.
Clouds drive over 1000 K heating at depth in sub-Neptune atmospheres, producing molten mantle interfaces for most planets in the sample and increasing abundances of O2, SiH4, and SiO by at least 36 percent.
citing papers explorer
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Improving exoplanet mass characterisation with Bayesian model selection using the Learned Harmonic Mean Estimator
First use of the learned harmonic mean estimator for Bayesian model selection across circular/eccentric, white-noise/GP, and trend variants in radial velocity exoplanet analyses.
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Horizontal transport as a source of disequilibrium chemistry on the nightside of a hot exoplanet
JWST data on NGTS-10A b shows nightside CH4 depletion caused by day-to-night horizontal transport rather than vertical mixing or non-solar abundances.
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Impact of Clouds on the Atmosphere-Mantle Interface of Sub-Neptunes
Clouds drive over 1000 K heating at depth in sub-Neptune atmospheres, producing molten mantle interfaces for most planets in the sample and increasing abundances of O2, SiH4, and SiO by at least 36 percent.