activity
20042026
most citedEuclid. III. The NISP Instrument

114 citations · 395 across the 27 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

8 papers · 1 filter

astro-ph.GA2026

Euclid Quick Data Release (Q1): The geometry of dark matter halos from extragalactic streams

Euclid Collaboration, N. Starkman, J. Nibauer +295

Wide-field surveys like Euclid mark a new era of extragalactic stellar stream studies. With a large number of streams, it is now possible to constrain the dark matter halos of gala…

astro-ph.GA2025

Euclid Quick Data Release (Q1). An investigation of optically faint, red objects in the Euclid Deep Fields

Euclid Collaboration, G. Girardi, G. Rodighiero +326

Our understanding of cosmic star-formation at used to largely rely on rest-frame UV observations. However, these observations overlook dusty and massive sources, resulting in…

astro-ph.GA20257 cited

Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning

Euclid Collaboration, I. Kovačić, M. Baes +287

The Euclid mission is generating a vast amount of imaging data in four broadband filters at high angular resolution. This will allow the detailed study of mass, metallicity, and st…

astro-ph.GA2024

Euclid preparation. XLIX. Selecting active galactic nuclei using observed colours

Euclid Collaboration, L. Bisigello, M. Massimo +244

Euclid will cover over 14000 with two optical and near-infrared spectro-photometric instruments, and is expected to detect around ten million active galactic nuclei (AGN)…

astro-ph.GA2023

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…

astro-ph.GA202315 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…