550 citations · 698 across the 6 of their papers we have counts for
3 papers · 1 filter
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Euclid Collaboration, B. Aussel, S. Kruk +255
The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…
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…
Strong gravitational lensing with the SKA
J. P. McKean, N. Jackson, S. Vegetti +7
Strong gravitational lenses provide an important tool to measure masses in the distant Universe, thus testing models for galaxy formation and dark matter; to investigate structure…