138 citations · 173 across the 4 of their papers we have counts for
Showing astro-ph.GAShow all
3 papers · 1 filter
astro-ph.GA2025
Capturing star formation activity from compressed photometric images of galaxies
Kyuseok Oh, M. Dennis Turp
We present a novel approach for classifying star-forming galaxies using photometric images. By utilizing approximately optical color composite images and spectroscopic da…
astro-ph.GA2018★ 12 cited
Exploring galaxy evolution with generative models
Kevin Schawinski, M. Dennis Turp, Ce Zhang
Context. Generative models open up the possibility to interrogate scientific data in a more data-driven way. Aims: We propose a method that uses generative models to explore hypoth…
astro-ph.GA2018★ 23 cited
PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light
Dominic Stark, Barthelemy Launet, Kevin Schawinski +7
The study of unobscured active galactic nuclei (AGN) and quasars depends on the reliable decomposition of the light from the AGN point source and the extended host galaxy light. Th…