Showing astro-ph.GAShow all
3 papers · 1 filter
astro-ph.GA2026
SpecLess: A Multi Survey Python Package for Machine Learning Classification of Galaxy Morphology and Activity from Photometry
Uzay Aydin, Mehmet Tanriver
Broad band photometry enables scalable galaxy classification without spectroscopy at inference time, yet strong within survey performance may not transfer when the same galaxies ar…
astro-ph.GA2026
Rubin LSST DP2 unveils almost-dark galaxies in the Virgo Cluster
Minh Ngoc Le, Johan H. Knapen, Željko Ivezić +27
Galaxies with the faintest surface brightness are currently known only in the Local Group. Similar objects should exist beyond our vicinity and are crucial for understanding galaxy…
astro-ph.GA2026
Cross Subtype Transferability of Machine Learning Photometric Redshift Relations in Low Redshift Seyfert AGN
Uzay Aydin
Photometric redshift estimation for active galactic nuclei (AGN) is complicated by the combined effects of host-galaxy light, nuclear emission, dust attenuation, and broadband spec…