The launch of the James Webb Space Telescope (JWST) marks a pivotal moment for precise atmospheric characterization of Y dwarfs, the coldest brown dwarf spectral type. In this study, we leverage moderate spectral resolution observations (R ∼ 2700) with the G395H grating of the Near-Infrared Spectrograph (NIRSpec) on board JWST to characterize the nearby (9.9 pc) Y dwarf WISEPA J182831.08+265037.8. With the NIRSpec G395H 2.88–5.12 μm spectrum, we measure the abundances of CO, CO2, CH4, H2S, NH3, and H2O, which are the major carbon-, nitrogen-, oxygen-, and sulfur-bearing species in the atmosphere. Based on the retrieved volume mixing ratios with the atmospheric retrieval framework CHIMERA, we report that the C/O ratio is 0.45 ± 0.01, close to the solar C/O value of 0.458, and the metallicity is +0.30 ± 0.02 dex. Comparison between the retrieval results and the forward modeling results suggests that the model bias for C/O and metallicity could be as high as 0.03 and 0.97 dex, respectively. We also report a lower limit of the 12CO/13CO ratio of >40, being consistent with the nominal solar value of 90. Our results highlight the potential for JWST to measure the C/O ratios down to percent-level precision and characterize isotopologues of cold planetary atmospheres similar to WISE 1828.
High-precision Atmospheric Characterization of a Y Dwarf with JWST NIRSpec G395H Spectroscopy: Isotopologue, C/O Ratio, Metallicity, and the Abundances of Six Molecular Species
- Creators
- Lew, Ben W. P.
- Roellig, Thomas
- Batalha, Natasha E.
- Line, Michael
- Greene, Thomas
- Murkherjee, Sagnick
- Freedman, Richard
- Meyer, Michael
- Beichman, Charles1
- Alves de Oliveira, Catarina
- De Furio, Matthew
- Johnstone, Doug
- Greenbaum, Alexandra Z.
- Marley, Mark
- Fortney, Jonathan J.
- Young, Erick T.
- Leisenring, Jarron
- Boyer, Martha
- Hodapp, Klaus
- Misselt, Karl
- Stansberry, John
- Rieke, Marcia
Abstract
Copyright and License
© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
The authors would like to thank the anonymous referee for the constructive comments. B.L. would like to acknowledge the funding support from NASA through the JWST NIRCam project through contract No. NAS5-02105 (M. Rieke, University of Arizona, PI). B.L. would like to thank David Barrado, Polychronis Patalpis, Ehsan Gharib-Nezhad, and Paul Molliére for the useful discussions. T.R. and T.G. were supported via NASA WBS 411672.07.05.05.03.02. A.Z.G. acknowledges support from contract No. 80GSFC21R0032 with the National Aeronautics and Space Administration. N.E.B. acknoledges support from NASA'S Interdisciplinary Consortia for Astrobiology Research (NNH19ZDA001N-ICAR) under award No. 19-ICAR19_2-0041. The JWST data presented in this article were obtained from the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute. The specific observations analyzed can be accessed via doi:10.17909/jfy8-dm19. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.
Software References
PICASO (Batalha et al. 2019; Mukherjee et al. 2023), Ultranest (Buchner 2021), CHIMERA (Line et al. 2015), AstroPy (Astropy Collaboration et al. 2013, 2018,2022), Pyphot (Fouesneau 2022), Python (Hunter 2007; Harris et al. 2020).
Data Availability
The JWST data presented in this article were obtained from the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute. The specific observations analyzed can be accessed via doi:10.17909/jfy8-dm19. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.
Files
Name | Size | Download all |
---|---|---|
md5:adb34f92e0ad15ce0c034fe692c2bfb7
|
3.6 MB | Preview Download |
Additional details
- ISSN
- 1538-3881
- National Aeronautics and Space Administration
- NAS5-02105
- National Aeronautics and Space Administration
- 411672.07.05.05.03.02
- National Aeronautics and Space Administration
- 80GSFC21R0032
- National Aeronautics and Space Administration
- NNH19ZDA001N-ICAR
- National Aeronautics and Space Administration
- 19-ICAR19_2-0041
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)