13 citations · 13 across the 2 of their papers we have counts for
2 papers
astro-ph.CO2022★ 13 cited
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series
George Stein, Uros Seljak, Vanessa Bohm +37
We construct a physically-parameterized probabilistic autoencoder (PAE) to learn the intrinsic diversity of type Ia supernovae (SNe Ia) from a sparse set of spectral time series. T…
astro-ph.IM2022
The Astronomy Commons Platform: A Deployable Cloud-Based Analysis Platform for Astronomy
Steven Stetzler, Mario Jurić, Kyle Boone +3
We present a scalable, cloud-based science platform solution designed to enable next-to-the-data analyses of terabyte-scale astronomical tabular datasets. The presented platform is…