5 citations · 5 across the 4 of their papers we have counts for
4 papers
CLiMB: A Domain-Informed Novelty Detection Clustering Framework for Galactic Archaeology and Scientific Discovery
Lorenzo Monti, Tatiana Muraveva, Brian Sheridan +4
In data-driven scientific discovery, a challenge lies in classifying well-characterized phenomena while identifying novel anomalies. Current semi-supervised clustering algorithms d…
Probing the Milky Way Halo with RR Lyrae Stars from Gaia Data Release 3
T. Muraveva, L. Monti, D. Massari +5
The Milky Way (MW) stellar halo, containing debris from past accretion events, serves as a fossil record of hierarchical mass assembly. Due to their distinct properties, RR Lyrae s…
Exploring substructures in the Milky Way halo Neural networks applied to Gaia and APOGEE DR 17
L. Berni, L. Spina, L. Magrini +3
The identification of stellar structures in the Galactic halo, including stellar streams and merger remnants, often relies on the dynamics of their constituent stars. However, this…
Local Group and Star Cluster Dynamics from HSTPROMO (The Hubble Space Telescope Proper Motion Collaboration)
Roeland P. van der Marel, Jay Anderson, Andrea Bellini +17
The Hubble Space Telescope (HST) has proven to be uniquely suited for the measurement of proper motions (PMs) of stars and galaxies in the nearby Universe. Here we summarize the ma…