Abstract We report the discovery of 11 low mass star and brown dwarf candidates identified via their high proper motions by the Backyard Worlds: Cool Neighbors citizen science project. Finding and classifying ultracool dwarfs is a crucial step in better understanding and describing substellar populations. Backyard Worlds: Cool Neighbors combines machine learning pre-selection of ultracool dwarf candidates with large-scale crowdsourcing to reveal previously overlooked cold, nearby objects within the archival Wide-field Infrared Survey Explorer (WISE) data set. Our new discoveries range in photometrically estimated spectral type from M1 to L8, and illustrate the value of continued searches for faint high proper motion objects in the WISE data set.
Wood et al. (Wed,) studied this question.