92 citations · 800 across the 37 of their papers we have counts for
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astro-ph.CO2020★ 31 cited
A deep learning view of the census of galaxy clusters in IllustrisTNG
Y. Su, Y. Zhang, G. Liang +8
The origin of the diverse population of galaxy clusters remains an unexplained aspect of large-scale structure formation and cluster evolution. We present a novel method of using X…
astro-ph.HE2020★ 92 cited
SuperRAENN: A Semi-supervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium Deep Survey Supernovae
V. Ashley Villar, Griffin Hosseinzadeh, Edo Berger +18
Automated classification of supernovae (SNe) based on optical photometric light curve information is essential in the upcoming era of wide-field time domain surveys, such as the Le…