3 papers
astro-ph.IM2026
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…
astro-ph.GA2026
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…
astro-ph.GA2025
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…