no code implementations • 24 Mar 2020 • Marko Shuntov, J. Pasquet, S. Arnouts, O. Ilbert, M. Treyer, E. Bertin, S. de la Torre, Y. Dubois, D. Fouchez, K. Kraljic, C. Laigle, C. Pichon, D. Vibert
Combining these PDFs with the density field distribution provides new photometric redshifts, $z_{web}$, whose accuracy is improved by a factor of two (i. e.,${\sigma} \sim 0. 004(1+z)$) for galaxies with $r \leq 17. 8$.
Astrophysics of Galaxies
no code implementations • 21 Feb 2022 • Q. Lin, D. Fouchez, J. Pasquet, M. Treyer, R. Ait Ouahmed, S. Arnouts, O. Ilbert
Deep Learning models have been increasingly exploited in astrophysical studies, yet such data-driven algorithms are prone to producing biased outputs detrimental for subsequent analyses.