Beyond the Local Volume. I. Surface Densities of Ultracool Dwarfs in Deep HST/WFC3 Parallel Fields

Ultracool dwarf stars and brown dwarfs provide a unique probe of large-scale Galactic structure and evolution; however, until recently spectroscopic samples of sufficient size, depth, and fidelity have been unavailable. Here, we present the identification of 164 M7-T9 ultracool dwarfs in 0.6 deg 2 o...

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Veröffentlicht in:The Astrophysical journal 2022-01, Vol.924 (2), p.114
Hauptverfasser: Aganze, Christian, Burgasser, Adam J., Malkan, Mathew, Theissen, Christopher A., Tejada Arevalo, Roberto A., Hsu, Chih-Chun, Bardalez Gagliuffi, Daniella C., Ryan, Russell E., Holwerda, Benne
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Sprache:eng
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Zusammenfassung:Ultracool dwarf stars and brown dwarfs provide a unique probe of large-scale Galactic structure and evolution; however, until recently spectroscopic samples of sufficient size, depth, and fidelity have been unavailable. Here, we present the identification of 164 M7-T9 ultracool dwarfs in 0.6 deg 2 of deep, low-resolution, near-infrared spectroscopic data obtained with the Hubble Space Telescope (HST) Wide Field Camera 3 (WFC3) instrument as part of the WFC3 Infrared Spectroscopic Parallel Survey and the 3D-HST survey. We describe the methodology by which we isolate ultracool dwarf candidates from over 200,000 spectra, and show that selection by machine-learning classification is superior to spectral index-based methods in terms of completeness and contamination. We use the spectra to accurately determine classifications and spectrophotometric distances, the latter reaching to ∼2 kpc for L dwarfs and ∼400 pc for T dwarfs.
ISSN:0004-637X
1538-4357
DOI:10.3847/1538-4357/ac35ea