Towards Robust Atmospheric Retrieval on Cloudy L Dwarfs: The Impact of Thermal and Abundance Profile Assumptions
Melanie Rowland, Caroline Morley, Michael Line

TL;DR
This study evaluates methods for atmospheric retrieval of L dwarf spectra, emphasizing the importance of thermal and abundance profile assumptions, especially in cloud-free models, to improve accuracy in characterizing these objects.
Contribution
The paper introduces a systematic testing framework using synthetic data to identify optimal retrieval strategies for L dwarf spectra, highlighting the need for nonuniform abundance profiles and comprehensive pressure layer coverage.
Findings
Parameterizing PT profiles biases results for hotter L dwarfs.
Probing many atmospheric layers improves retrieval accuracy.
Nonuniform FeH profiles are essential for early- to mid-L dwarfs.
Abstract
Constraining L dwarf properties from their spectra is challenging. Near-infrared spectra probe a limited range of pressures, while many species condense within their photospheres. Condensation creates two complexities: gas-phase species "rain out" (decreasing in abundances by many orders of magnitude) and clouds form. We designed tests using synthetic data to determine the best approach for retrieving L dwarf spectra, isolating the challenges in the absence of cloud opacity. We conducted atmospheric retrievals on synthetic cloud-free L dwarf spectra derived from the Sonora Bobcat models at SpeX resolution using a variety of thermal and chemical abundance profile parameterizations. For objects hotter than L5 (T ~ 1700 K), the limited pressure layers probed in the near-IR are mostly convective; parameterized PT profiles bias results and free, unsmoothed profiles should be used.…
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Taxonomy
TopicsSpectroscopy and Laser Applications · Stellar, planetary, and galactic studies · Atmospheric Ozone and Climate
