Atmospheric Retrieval of L Dwarfs: Benchmarking Results and Characterizing the Young Planetary Mass Companion HD 106906 b in the Near-Infrared
Arthur D. Adams, Michael R. Meyer, Alex R. Howe, Ben Burningham,, Sebastian Daemgen, Jonathan Fortney, Mike Line, Mark Marley, Sascha P. Quanz,, and Kamen Todorov

TL;DR
This study uses atmospheric retrieval techniques on near-infrared spectra to analyze the planetary-mass companion HD 106906 b, benchmarking against an L dwarf and exploring formation clues through C/O ratios, with implications for future JWST observations.
Contribution
The paper introduces a detailed atmospheric retrieval analysis of HD 106906 b, benchmarking against an L dwarf, and discusses the implications for formation pathways and future JWST studies.
Findings
C/O ratio of HD 106906 b consistent with stellar association
Retrieved thermal profile shows sharp temperature gradient transitions
Surface gravity lower than expected for the object
Abstract
We present model constraints on the atmospheric structure of HD 106906 b, a planetary-mass companion orbiting at a ~700 AU projected separation around a 15 Myr-old stellar binary, using the APOLLO retrieval code on spectral data spanning 1.1-2.5 m. C/O ratios can provide evidence for companion formation pathways, as such pathways are ambiguous both at wide separations and at star-to-companion mass ratios in the overlap between the distributions of planets and brown dwarfs. We benchmark our code against an existing retrieval of the field L dwarf 2M2224-0158, returning a C/O ratio consistent with previous fits to the same JHKs data, but disagreeing in the thermal structure, cloud properties, and atmospheric scale height. For HD 106906 b, we retrieve C/O , consistent with the C/O ratios expected for HD 106906's stellar association and therefore consistent with a…
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.
