253 citations · 2.7k across the 43 of their papers we have counts for
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astro-ph.IM2022★ 3 cited
From Data to Software to Science with the Rubin Observatory LSST
Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford +97
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the…
astro-ph.IM2022★ 3 cited
Inferring properties of dust in supernovae with neural networks
Zoe Ansari, Christa Gall, Roger Wesson +1
Context. Determining properties of dust formed in and around supernovae from observations remains challenging. This may be due to either incomplete coverage of data in wavelength o…