Quasar photometric redshifts from incomplete data using Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stac660
Abstract: Forthcoming astronomical surveys are expected to detect new sources in such large numbers that measuring their spectroscopic redshift measurements will be not be practical. Thus, there is much interest in using machine learning to yield… read more here.
Keywords: photometric redshifts; deep learning; redshifts incomplete; quasar photometric ... See more keywords