30 citations · 45 across the 6 of their papers we have counts for
7 papers · 1 filter
Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets
Euclid Collaboration, L. Paganin, M. Bonici +252
We present cosmological parameter forecasts for the Euclid 6x2pt statistics, which include the galaxy clustering and weak lensing main probes together with previously neglected cro…
Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters
Euclid Collaboration, A. Fumagalli, A. Saro +191
Aims. We validate a semi-analytical model for the covariance of real-space 2-point correlation function of galaxy clusters. Methods. Using 1000 PINOCCHIO light cones mimicking the…
Euclid: constraining dark energy coupled to electromagnetism using astrophysical and laboratory data
M. Martinelli, C. J. A. P. Martins, S. Nesseris +92
In physically realistic scalar-field based dynamical dark energy models (including, e.g., quintessence) one naturally expects the scalar field to couple to the rest of the model's…
Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography
Euclid Collaboration, O. Ilbert, S. de la Torre +162
The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to constrain the dark energy eq…
Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations
Euclid Collaboration, M. Knabenhans, J. Stadel +131
We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), a fast and accurate predictor for the nonlinear correction of the matter power spectrum. Percent-l…
Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments
Euclid Collaboration, P. Paykari, T. D. Kitching +128
Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. We present an end-to-end approach that introduces sources of…