244 citations · 1.2k across the 46 of their papers we have counts for
8 papers · 1 filter
Using Machine Learning to Model Stellar Collisions in our Galactic Center
Tristan C. Sand, Sanaea C. Rose, Elena González Prieto +8
Direct collisions in the inner pc of the Galactic center can alter the orbits and properties of stars. The outcome of a collision depends on a number of parameters, including the m…
Stellar streams around dwarf galaxies are observationally rare in the local Universe
Joanna D. Sakowska, David Martíınez-Delgado, Sarah Pearson +6
The frequency and properties of stellar streams around dwarf galaxies remain observationally under-explored. Building a statistically significant sample is challenging because dwar…
Evidence for the First Globular Cluster Stellar Stream beyond the Milky Way
Julie Kiel Holm, Sarah Pearson, Jacob Nibauer +5
The dark matter content of ultra-diffuse galaxies is the subject of considerable debate. Stellar streams, which form when a host galaxy tidally strips stars from an orbiting stella…
ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging
Tianao Li, Tjitske Starkenburg, Yu Sun +1
Variational inference (VI) is a powerful method for principled posterior inference for scientific inverse imaging. VI learns the posterior distribution, often with a flow-based net…
Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation
Viraj Pandya, Greg L. Bryan, T. Lucas Makinen +18
Semi-analytic models (SAMs) have been treating galaxy populations as dynamical systems for years, but their evolution equations remain poorly constrained. We introduce…
Modeling Globular Cluster Stellar Streams with a Basis-Expansion N-body Code
Brian T. Cook, Kerwann Tep, Carl L. Rodriguez +6
Globular cluster stellar streams probe galaxy-formation processes and can potentially reveal the distribution of dark matter in galaxies. In many theoretical studies, streams are m…
Machine Learning Methods for Stellar Collisions. I. Predicting Outcomes of SPH Simulations
Elena González Prieto, James C. Lombardi, Sanaea C. Rose +7
Stellar collisions can occur frequently in dense cluster environments, and play a crucial role in producing exotic phenomena from blue stragglers in globular clusters to high-energ…
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz +63
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that cha…