Discovery of Seven Cold and Distant Brown Dwarfs with JWST RUBIES

Abstract We report near-infrared spectral model fits to seven distant L- and T-type dwarfs observed with the JWST Near Infrared Spectrograph as part of the Red Unknowns: Bright Infrared Extragalactic Survey (RUBIES). Comparison of 0.9–2.5 μ m near-infrared spectra of these sources to spectral standards indicates spectral types spanning L1 to T8 and spectrophotometric distances spanning 800–3000 pc. Fits to three grids of spectral models yield atmosphere parameters and spectrophotometric distances largely consistent with our classifications, although fits to L dwarf spectra indicate missing components to the models. Three of our sources have vertical displacements from the Galactic plane exceeding 1 kpc, and have high probabilities of membership in the Galactic thick disk population. Of these, the L dwarf RUBIES-BD-3 (RUBIES-EGS-3081) is well matched to subdwarf standards, while the early T dwarf RUBIES-BD-5 (RUBIES-UDS-170428) is best fit by metal-poor atmosphere models; both may be thick disk or halo brown dwarfs. We critically examine the 1–5 μ m spectra of the current sample of 1–2 kpc mid- and late-T dwarfs, finding that temperature, surface gravity, metallicity, and vertical mixing efficiency can all contribute to the observed variations in near-infrared spectral structure and the strength of the 4.2 μ m CO 2 band. This work aims to guide ongoing JWST, Euclid, and other space-based spectral surveys that are expected to uncover thousands of low-temperature stars and brown dwarfs throughout the Milky Way.

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Publication Details

Journal
The Astronomical Journal
Published
2026-02-26
DOI
https://doi.org/10.3847/1538-3881/ae40f1
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
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article

Discovery of Seven Cold and Distant Brown Dwarfs with JWST RUBIES

Ian McConachie, Gabriel Brammer, Adam J. Burgasser, Sara J. Morrissey et al.
The Astronomical Journal
Stellar, planetary, and galactic studies
article

Discovery of Seven Cold and Distant Brown Dwarfs with JWST RUBIES

Ian McConachie, Gabriel Brammer, Adam J. Burgasser, Sara J. Morrissey, Anna de Graaff
article en

Abstract

Abstract We report near-infrared spectral model fits to seven distant L- and T-type dwarfs observed with the JWST Near Infrared Spectrograph as part of the Red Unknowns: Bright Infrared Extragalactic Survey (RUBIES). Comparison of 0.9–2.5 μ m near-infrared spectra of these sources to spectral standards indicates spectral types spanning L1 to T8 and spectrophotometric distances spanning 800–3000 pc. Fits to three grids of spectral models yield atmosphere parameters and spectrophotometric distances largely consistent with our classifications, although fits to L dwarf spectra indicate missing components to the models. Three of our sources have vertical displacements from the Galactic plane exceeding 1 kpc, and have high probabilities of membership in the Galactic thick disk population. Of these, the L dwarf RUBIES-BD-3 (RUBIES-EGS-3081) is well matched to subdwarf standards, while the early T dwarf RUBIES-BD-5 (RUBIES-UDS-170428) is best fit by metal-poor atmosphere models; both may be thick disk or halo brown dwarfs. We critically examine the 1–5 μ m spectra of the current sample of 1–2 kpc mid- and late-T dwarfs, finding that temperature, surface gravity, metallicity, and vertical mixing efficiency can all contribute to the observed variations in near-infrared spectral structure and the strength of the 4.2 μ m CO 2 band. This work aims to guide ongoing JWST, Euclid, and other space-based spectral surveys that are expected to uncover thousands of low-temperature stars and brown dwarfs throughout the Milky Way.

The Astronomical JournalVol. 171(3)
University of Notre Dame (US), University of Copenhagen (DK), University of Wisconsin–Madison (US), University of California San Diego (US), Max Planck Institute for Astronomy (DE), Center for Astrophysics Harvard & Smithsonian (US)
Openalex Percentile: Top 42%
Stellar, planetary, and galactic studies
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