2 papers
astro-ph.IM2025
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.GA2025
Dwarf Active Galactic Nuclei from Variability for the Origins of Seeds (DAVOS): Properties of Variability-Selected AGNs in the Dark Energy Survey Deep Fields
Yichen Liu, Colin J. Burke, Diego Miura +4
We study the black hole mass host galaxy stellar mass relation, , for a sample of 706 and optically-variable active galac…