415 citations · 3.5k across the 157 of their papers we have counts for
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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. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-CDM models
Euclid Collaboration, B. Bose, P. Carrilho +229
We investigate the approximations needed to efficiently predict the large-scale clustering of matter and dark matter halos in beyond-CDM scenarios. We examine the normal branch…
Euclid: Identification of asteroid streaks in simulated images using deep learning
M. Pöntinen, M. Granvik, A. A. Nucita +114
Up to 150000 asteroids will be visible in the images of the ESA Euclid space telescope, and the instruments of Euclid offer multiband visual to near-infrared photometry and slitles…
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…