6 citations · 10 across the 6 of their papers we have counts for
3 papers · 1 filter
Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks
Peter Xiangyuan Ma, Keir K. Rogers, Ting S. Li +4
The phase space of stellar streams is proposed to detect dark substructure in the Milky Way through the perturbations created by passing subhalos - and thus is a powerful test of t…
A systematic analysis of star cluster disruption by tidal shocks -- II. Predicting star cluster dissolution rates from a time-series analysis of their tidal histories
Jeremy J. Webb, Marta Reina-Campos, J. M. Diederik Kruijssen
Most of the dynamical mass loss from star clusters is thought to be caused by the time-variability of the tidal field (``tidal shocks''). Systematic studies of tidal shocks have be…
Stream Members Only: Data-Driven Characterization of Stellar Streams with Mixture Density Networks
Nathaniel Starkman, Jacob Nibauer, Jo Bovy +4
Stellar streams are sensitive probes of the Milky Way's gravitational potential. The mean track of a stream constrains global properties of the potential, while its fine-grained su…