114 citations · 824 across the 168 of their papers we have counts for
7 papers · 1 filter
Euclid preparation. XLI. Galaxy power spectrum modelling in real space
Euclid Collaboration, A. Pezzotta, C. Moretti +246
We investigate the accuracy of the perturbative galaxy bias expansion in view of the forthcoming analysis of the Euclid spectroscopic galaxy samples. We compare the performance of…
Euclid Preparation. TBD. Impact of magnification on spectroscopic galaxy clustering
Euclid Collaboration, G. Jelic-Cizmek, F. Sorrenti +226
In this paper we investigate the impact of lensing magnification on the analysis of Euclid's spectroscopic survey, using the multipoles of the 2-point correlation function for gala…
Euclid Preparation. XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses
Euclid Collaboration, G. F. Lesci, M. Sereno +238
We derived galaxy colour selections from Euclid and ground-based photometry, aiming to accurately define background galaxy samples in cluster weak-lensing analyses. Given any set o…
Euclid preparation. Spectroscopy of active galactic nuclei with NISP
Euclid Collaboration, E. Lusso, S. Fotopoulou +246
The statistical distribution and evolution of key properties (e.g. accretion rate, mass, or spin) of active galactic nuclei (AGN), remain an open debate in astrophysics. The ESA Eu…
Euclid preparation. XXXIX. The effect of baryons on the Halo Mass Function
Euclid Collaboration, T. Castro, S. Borgani +220
The Euclid photometric survey of galaxy clusters stands as a powerful cosmological tool, with the capacity to significantly propel our understanding of the Universe. Despite being…
Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid
Euclid Collaboration, D. Sciotti, S. Gouyou Beauchamps +221
Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncert…
Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events
Euclid Collaboration, L. Leuzzi, M. Meneghetti +216
Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions…