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20202026
most citedEuclid. III. The NISP Instrument

114 citations · 680 across the 132 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

astro-ph.CO2023★ 21 cited

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…

astro-ph.CO2023

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…

astro-ph.CO2023

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…

astro-ph.CO2023★ 13 cited

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…

astro-ph.CO2023

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…

astro-ph.GA2023★ 15 cited

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…