80 citations · 217 across the 7 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: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields
Andrea Moneti, H. J. McCracken, M. Shuntov +194
We present a new infrared survey covering the three Euclid deep fields and four other Euclid calibration fields using Spitzer's Infrared Array Camera (IRAC). We have combined these…
Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models
Euclid Collaboration, H. Bretonnière, M. Huertas-Company +193
We present a machine learning framework to simulate realistic galaxies for the Euclid Survey. The proposed method combines a control on galaxy shape parameters offered by analytic…