3 papers
astro-ph.IM2026
DeepVoid: A Deep Learning Void Detector
Sam Kumagai, Michael S. Vogeley, Miguel A. Aragon-Calvo +3
We present DeepVoid, an application of deep learning trained on a physical definition of cosmic voids to detect voids in density fields and galaxy distributions. By semantically se…
astro-ph.GA2025
Scalable and Robust Multiband Modeling of AGN Light Curves in Rubin-LSST
Weixiang Yu, John J. Ruan, Colin J. Burke +22
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will monitor tens of millions of active galactic nuclei (AGNs) for a period of 10 years with an average caden…
astro-ph.GA2025
Examining AGN UV/Optical Variability Beyond the Simple Damped Random Walk. II. Insights from 22 Years Observations of SDSS, PS1 and ZTF
Weixiang Yu, Gordon T. Richards, John J. Ruan +3
A damped random walk (DRW) process is often used to describe the temporal UV/optical continuum variability of active galactic nuclei (AGN). However, recent investigations have show…