Uniform Atmospheric Retrieval Analysis of Ultracool Dwarfs I: Characterizing Benchmarks, Gl570D and HD3651B
Michael R. Line, Johanna Teske, Ben Burningham, Jonathan Fortney, Mark, Marley

TL;DR
This study enhances Bayesian atmospheric retrieval methods and applies them to benchmark brown dwarfs, successfully determining their physical properties, chemical compositions, and ammonia presence, validating the approach for brown dwarf analysis.
Contribution
Developed an upgraded retrieval method and applied it to benchmark brown dwarfs, including the novel detection of ammonia and the addition of C/O ratio analysis.
Findings
Consistent metallicities, gravities, and temperatures with system properties.
First unambiguous detection of ammonia in low-resolution spectra.
Good agreement of C/O ratios between brown dwarfs and host stars.
Abstract
Interpreting the spectra of brown dwarfs is key to determining the fundamental physical and chemical processes occurring in their atmospheres. Powerful Bayesian atmospheric retrieval tools have recently been applied to both exoplanet and brown dwarf spectra to tease out the thermal structures and molecular abundances to understand those processes. In this manuscript we develop a significantly upgraded retrieval method and apply it to the SpeX spectral library data of two benchmark late T-dwarfs, Gl570D and HD3651B, to establish the validity of our upgraded forward model parameterization and Bayesian estimator. Our retrieved metallicities, gravities, and effective temperature are consistent with the metallicity and presumed ages of the systems. We add the carbon-to-oxygen ratio as a new dimension to benchmark systems and find good agreement between carbon-to-oxygens ratio derived in the…
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