11 citations · 19 across the 4 of their papers we have counts for
Showing astro-ph.GAShow all
2 papers · 1 filter
astro-ph.GA2021
Via Machinae: Searching for Stellar Streams using Unsupervised Machine Learning
David Shih, Matthew R. Buckley, Lina Necib +1
We develop a new machine learning algorithm, Via Machinae, to identify cold stellar streams in data from the Gaia telescope. Via Machinae is based on ANODE, a general method that u…
astro-ph.GA2019
Spatially Resolved Stellar Kinematics of the Ultra-Diffuse Galaxy Dragonfly 44: II. Constraints on Fuzzy Dark Matter
Asher Wasserman, Pieter van Dokkum, Aaron J. Romanowsky +9
Given the absence of directly detected dark matter (DM) as weakly interacting massive particles, there is strong interest in the possibility that DM is an ultra-light scalar field,…