497 citations · 2.2k across the 18 of their papers we have counts for
18 papers
Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning
Euclid Collaboration, A. Humphrey, L. Bisigello +206
The Euclid Space Telescope will provide deep imaging at optical and near-infrared wavelengths, along with slitless near-infrared spectroscopy, across ~15,000 sq deg of the sky. Euc…
Euclid preparation. XXI. Intermediate-redshift contaminants in the search for galaxies within the Euclid Deep Survey
Euclid Collaboration, S. E. van Mierlo, K. I. Caputi +203
(Abridged) The Euclid mission is expected to discover thousands of z>6 galaxies in three Deep Fields, which together will cover a ~40 deg2 area. However, the limited number of Eucl…
Euclid: Searching for pair-instability supernovae with the Deep Survey
T. J. Moriya, C. Inserra, M. Tanaka +106
Pair-instability supernovae are theorized supernovae that have not yet been observationally confirmed. They are predicted to exist in low-metallicity environments. Because overall…
Euclid preparation. XVIII. The NISP photometric system
Euclid Collaboration, M. Schirmer, K. Jahnke +220
Euclid will be the first space mission to survey most of the extragalactic sky in the 0.95-2.02 m range, to a 5 point-source median depth of 24.4 AB mag. This unique photomet…
Dark Energy Survey Year 3 Results: Clustering Redshifts -- Calibration of the Weak Lensing Source Redshift Distributions with redMaGiC and BOSS/eBOSS
M. Gatti, G. Giannini, G. M. Bernstein +94
We present the calibration of the Dark Energy Survey Year 3 (DES Y3) weak lensing source galaxy redshift distributions from clustering measurements. In particular, we cross-…
Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog
S. Everett, B. Yanny, N. Kuropatkin +97
We describe an updated calibration and diagnostic framework, Balrog, used to directly sample the selection and photometric biases of the Dark Energy Survey's (DES) Year 3 (Y3) data…