10.6k citations · 51.9k across the 321 of their papers we have counts for
13 papers · 1 filter
Self-supervised component separation for the extragalactic submillimeter sky
V. Bonjean, H. Tanimura, N. Aghanim +2
We use a new approach based on self-supervised deep learning networks originally applied to transparency separation in order to simultaneously extract the components of the extraga…
Euclid: Modelling massive neutrinos in cosmology -- a code comparison
J. Adamek, R. E. Angulo, C. Arnold +133
The measurement of the absolute neutrino mass scale from cosmological large-scale clustering data is one of the key science goals of the Euclid mission. Such a measurement relies o…
Quasi-spherical superclusters
Pekka Heinämäki, Pekka Teerikorpi, Marian Douspis +5
Generally the dynamical state of superclusters is poorly known. We study properties of superclusters and select a sample of quasi-spherical superclusters, the dynamics of which can…
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…
The PAU Survey & Euclid: Improving broad-band photometric redshifts with multi-task learning
L. Cabayol, M. Eriksen, J. Carretero +123
Current and future imaging surveys require photometric redshifts (photo-zs) to be estimated for millions of galaxies. Improving the photo-z quality is a major challenge but is need…
Euclid preparation. XXIV. Calibration of the halo mass function in CDM cosmologies
Euclid Collaboration, T. Castro, A. Fumagalli +179
Euclid's photometric galaxy cluster survey has the potential to be a very competitive cosmological probe. The main cosmological probe with observations of clusters is their number…