2 papers
astro-ph.IM2024
HAYATE: Photometric redshift estimation by hybridising machine learning with template fitting
Shingo Tanigawa, Karl Glazebrook, Colin Jacobs +2
Machine learning photo-z methods, trained directly on spectroscopic redshifts, provide a viable alternative to traditional template fitting methods but may not generalise well on n…
astro-ph.GA2017
Size--luminosity relations and UV luminosity functions at simultaneously derived from the complete Hubble Frontier Fields data
Ryota Kawamata, Masafumi Ishigaki, Kazuhiro Shimasaku +3
We construct , 8, and 9 faint Lyman break galaxy samples (334, 61, and 37 galaxies, respectively) with accurate size measurements with the software from…