6 citations · 8 across the 4 of their papers we have counts for
5 papers
Discovery of 118 New Ultracool Dwarf Candidates Using Machine Learning Techniques
Hunter Brooks, Dan Caselden, J. Davy Kirkpatrick +44
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine learning tool, named \texttt{SMDET}, applied to time series images from the Wide-fiel…
Simulating Brown Dwarf Observations for Various Mass Functions, Birthrates, and Low-mass Cutoffs
Yadukrishna Raghu, J. Davy Kirkpatrick, Federico Marocco +12
After decades of brown dwarf discovery and follow-up, we can now infer the functional form of the mass distribution within 20 parsecs, which serves as a constraint on star formatio…
WRAP: A Tool for Efficient Cross-Identification of Proper Motion Objects Spanning Multiple Surveys
Hunter Brooks, J. Davy Kirkpatrick, Dan Caselden +11
We introduce the Wide-field Retrieval of Astrodata Program (WRAP), a tool created to aid astronomers in gathering photometric and astrometric data for point sources that may confus…
The Initial Mass Function Based on the Full-sky 20-pc Census of 3,600 Stars and Brown Dwarfs
J. Davy Kirkpatrick, Federico Marocco, Christopher R. Gelino +85
A complete accounting of nearby objects -- from the highest-mass white dwarf progenitors down to low-mass brown dwarfs -- is now possible, thanks to an almost complete set of trigo…
Long-term 4.6m Variability in Brown Dwarfs and a New Technique for Identifying Brown Dwarf Binary Candidates
Hunter Brooks, J. Davy Kirkpatrick, Aaron M. Meisner +11
Using a sample of 361 nearby brown dwarfs, we have searched for 4.6m variability indicative of large-scale rotational modulations or large-scale long-term changes on timescales…