279 citations · 1.1k across the 44 of their papers we have counts for
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Deep Learning for Point Spread Function Modeling in Cosmology
Dayana Andrea Henao Arbeláez, Pierre-François Léget, Andrés Alejandro Plazas Malagón
We present the development of a data-driven, AI-based model of the Point Spread Function (PSF) that achieves higher accuracy than the current state-of-the-art approach, "PSF in the…
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…
The Dark Energy Survey Six-Year Calibration Star Catalog
E. S. Rykoff, D. L. Tucker, D. L. Burke +64
This Technical Note presents a catalog of calibrated reference stars that was generated by the Forward Calibration Method (FGCM) pipeline (arXiv:1706.01542) as part of the FGCM pho…