6 citations · 13 across the 9 of their papers we have counts for
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astro-ph.IM2024★ 6 cited
DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST
Grant Merz, Xin Liu, Samuel Schmidt +11
Photometric redshifts will be a key data product for the Rubin Observatory Legacy Survey of Space and Time (LSST) as well as for future ground and space-based surveys. The need for…
astro-ph.HE2024★ 3 cited
Superphot+: Realtime Fitting and Classification of Supernova Light Curves
Kaylee M. de Soto, Ashley Villar, Edo Berger +9
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric…