1 citations · 1 across the 2 of their papers we have counts for
3 papers
Beyond the Brightest: A Deep Learning Approach to Identifying Major and Minor Galaxy Mergers in CANDELS at
Aimee L. Schechter, Aleksandra ÄiprijanoviÄ, Xuejian Shen +5
Galaxy mergers play an important role in galaxy evolution. Therefore, accurate merger identifications are paramount for achieving a complete understanding of how galaxies evolve. A…
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…
Simulation-based inference for neutrino interaction model parameter tuning
Karla Tame-Narvaez, Aleksandra ÄiprijanoviÄ, Steven Gardiner +1
High-energy physics experiments studying neutrinos rely heavily on simulations of their interactions with atomic nuclei. Limitations in the theoretical understanding of these inter…