550 citations · 3.7k across the 149 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. 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 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…
Probing the roles of orientation and multi-scale gas distributions in shaping the obscuration of Active Galactic Nuclei through cosmic time
Alba V. Alonso-Tetilla, Francesco Shankar, Fabio Fontanot +14
The origin of obscuration in Active Galactic Nuclei (AGN) is still an open debate. In particular, it is unclear what drives the relative contributions to the line-of-sight column d…
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…