17 citations · 27 across the 6 of their papers we have counts for
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astro-ph.IM2026
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…
astro-ph.IM2017★ 10 cited
SCALA: In-situ calibration for Integral Field Spectrographs
S. Lombardo, D. Küsters, M. Kowalski +39
The scientific yield of current and future optical surveys is increasingly limited by systematic uncertainties in the flux calibration. This is the case for Type Ia supernova (SN I…