activity
20212026
most citedEuclid preparation XXVI. The Euclid Morphology Challenge. Towards structural parameters for billions of galaxies

28 citations · 69 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

Photometric Super-Resolution for Improving Galaxy Morphological Measurements using Conditional Generative Adversarial Networks

Samuel Kahn, Ryan Hausen, Hubert Bretonnière +2

The measurement of galaxy morphological parameters from astronomical images features in a wide range of modern analyses, including galaxy evolution and cosmological weak lensing st…

astro-ph.CO2024★ 10 cited

Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework

Euclid Collaboration, S. Serrano, P. Hudelot +274

The European Space Agency's Euclid mission is one of the upcoming generation of large-scale cosmology surveys, which will map the large-scale structure in the Universe with unprece…

astro-ph.GA2022★ 26 cited

Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies

Euclid Collaboration, E. Merlin, M. Castellano +218

The ESA Euclid mission will provide high-quality imaging for about 1.5 billion galaxies. A software pipeline to automatically process and analyse such a huge amount of data in real…

astro-ph.GA2022★ 28 cited

Euclid preparation XXVI. The Euclid Morphology Challenge. Towards structural parameters for billions of galaxies

Euclid Collaboration, H. Bretonnière, U. Kuchner +215

The various Euclid imaging surveys will become a reference for studies of galaxy morphology by delivering imaging over an unprecedented area of 15 000 square degrees with high spat…

astro-ph.IM2021★ 5 cited

Probabilistic segmentation of overlapping galaxies for large cosmological surveys

Hubert Bretonnière, Alexandre Boucaud, Marc Huertas-Company

Encoder-Decoder networks such as U-Nets have been applied successfully in a wide range of computer vision tasks, especially for image segmentation of different flavours across diff…