Retrieval Study of Brown Dwarfs Across the L-T Sequence
Anna Lueber, Daniel Kitzmann, Brendan P. Bowler, Adam J. Burgasser,, and Kevin Heng

TL;DR
This study performs atmospheric retrievals on 19 brown dwarfs across the L-T spectral sequence, comparing cloud models and analyzing molecular detections, revealing insights into their atmospheric properties and the L-T transition.
Contribution
It provides a comprehensive comparison of cloud-free and cloudy models using a large retrieval suite, highlighting the need for future data to constrain cloud and chemical abundance variations.
Findings
Water detected in all objects
Methane detected in all T dwarfs
Cloud models are statistically indistinguishable
Abstract
A large suite of 228 atmospheric retrievals is performed on a curated sample of 19 brown dwarfs spanning the L0 to T8 spectral types using the open-source Helios-r2 retrieval code, which implements the method of short characteristics for radiative transfer and a finite-element description of the temperature-pressure profile. Surprisingly, we find that cloud-free and cloudy (both gray and non-gray) models are equally consistent with the archival SpeX data from the perspective of Bayesian model comparison. Only upper limits for cloud properties are inferred if log-uniform priors are assumed, but the cloud optical depth becomes constrained if a uniform prior is used. Water is detected in all 19 objects and methane is detected in all of the T dwarfs, but no obvious trend exists across effective temperature. As carbon monoxide is only detected in a handful of objects, the inferred…
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