Discovery of 118 New Ultracool Dwarf Candidates Using Machine-learning Techniques

Discovery of 118 New Ultracool Dwarf Candidates Using Machine-learning Techniques

We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine-learning tool, named SMDET , applied to time-series images from the Wide-field Infrared Survey Explorer. We gathered photometric and astrometric data to estimate each candidate’s spectral type, distance, a...

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Bibliographic Details
Main Authors: Hunter Brooks, Dan Caselden, J. Davy Kirkpatrick, Yadukrishna Raghu, Charles A. Elachi, Jake Grigorian, Asa Trek, Andrew Washburn, Hiro Higashimura, Aaron M. Meisner, Adam C. Schneider, Jacqueline K. Faherty, Federico Marocco, Christopher R. Gelino, Jonathan Gagné, Thomas P. Bickle, Shih-Yun Tang, Austin Rothermich, Adam J. Burgasser, Marc J. Kuchner, Paul Beaulieu, John Bell, Guillaume Colin, Giovanni Colombo, Alexandru Dereveanco, Deiby Pozo Flores, Konstantin Glebov, Leopold Gramaize, Les Hamlet, Ken Hinckley, Martin Kabatnik, Frank Kiwy, David W. Martin, Raúl F. Palma Méndez, Billy Pendrill, Lizzeth Ruiz, John Sanchez, Arttu Sainio, Jörg Schümann, Manfred Schonau, Christopher Tanner, Nikolaj Stevnbak, Andres Stenner, Melina Thévenot, Vinod Thakur, Nikita V. Voloshin, Zbigniew Wȩdracki, The Backyard Worlds: Planet 9 Collaboration
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astronomical Journal
Subjects:
Brown dwarfs
Subdwarf stars
Low mass stars
Online Access:https://doi.org/10.3847/1538-3881/ad77d2

Internet

https://doi.org/10.3847/1538-3881/ad77d2

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