3 citations · 7 across the 23 of their papers we have counts for
14 papers · 1 filter
Euclid: Quick Data Release (Q1) -- Secondary nuclei in early-type galaxies
M. Fabricius, R. Saglia, F. Balzer +165
Massive early-type galaxies (ETGs) are believed to form primarily through mergers of less massive progenitors, leaving behind numerous traces of violent formation histories, such a…
Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis
Euclid Collaboration, L. Blot, K. Tanidis +309
Extracting cosmological information from the Euclid galaxy survey will require modelling numerous systematic effects during the inference process. This implies varying a large numb…
Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 4: Validation and Performance
Euclid Collaboration, M. Martinelli, A. Pezzotta +334
The Euclid satellite will provide data on the clustering of galaxies and on the distortion of their measured shapes, which can be used to constrain and test the cosmological model.…
Cosmology Likelihood for Observables in \Euclid (CLOE). 1. Theoretical recipe
Euclid Collaboration, V. F. Cardone, S. Joudaki +323
As the statistical precision of cosmological measurements increases, the accuracy of the theoretical description of these measurements needs to increase correspondingly in order to…
Euclid preparation. Simulating thousands of Euclid spectroscopic skies
Euclid Collaboration, P. Monaco, G. Parimbelli +303
We present two extensive sets of 3500+1000 simulations of dark matter haloes on the past light cone, and two corresponding sets of simulated (`mock') galaxy catalogues that represe…
Euclid preparation. Establishing the quality of the 2D reconstruction of the filaments of the cosmic web with DisPerSE using Euclid photometric redshifts
Euclid Collaboration, N. Malavasi, F. Sarron +313
Cosmic filaments are prominent structures of the matter distribution of the Universe. Modern detection algorithms are an efficient way to identify filaments in large-scale observat…