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20152025
most citedEuclid. I. Overview of the Euclid mission

550 citations · 1.2k across the 37 of their papers we have counts for

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Showing astro-ph.GAShow all

8 papers · 1 filter

astro-ph.GA2025★ 2 cited

Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention

Euclid Collaboration, A. Humphrey, P. A. C. Cunha +232

Euclid will image ~14000 deg^2 of the extragalactic sky at visible and NIR wavelengths, providing a dataset of unprecedented size and richness that will facilitate a multitude of s…

astro-ph.GA2025★ 4 cited

Euclid preparation. Spatially resolved stellar populations of local galaxies with Euclid: a proof of concept using synthetic images with the TNG50 simulation

Euclid Collaboration, Abdurro'uf, C. Tortora +286

The European Space Agency's Euclid mission will observe approximately 14,000 of the extragalactic sky and deliver high-quality imaging for many galaxies. The depth a…

astro-ph.GA2025★ 7 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★ 15 cited

Euclid preparation. The Cosmic Dawn Survey (DAWN) of the Euclid Deep and Auxiliary Fields

Euclid Collaboration, C. J. R. McPartland, L. Zalesky +288

Euclid will provide deep NIR imaging to 26.5 AB magnitude over 59 deg in its deep and auxiliary fields. The Cosmic DAWN survey complements the deep Euclid data with…

astro-ph.GA2024

Euclid Preparation. Cosmic Dawn Survey: Data release 1 multiwavelength catalogues for Euclid Deep Field North and Euclid Deep Field Fornax

Euclid Collaboration, L. Zalesky, C. J. R. McPartland +272

The Cosmic Dawn Survey (DAWN survey) provides multiwavelength (UV/optical to mid-IR) data across the combined 59 deg of the Euclid Deep and Auxiliary fields (EDFs and EAFs).…

astro-ph.GA2024★ 8 cited

Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

Euclid Collaboration, A. Enia, M. Bolzonella +260

Euclid will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting metho…

astro-ph.GA2024★ 7 cited

Euclid preparation. Observational expectations for redshift z<7 active galactic nuclei in the Euclid Wide and Deep surveys

Euclid Collaboration, M. Selwood, S. Fotopoulou +260

We forecast the expected population of active galactic nuclei (AGN) observable in the Euclid Wide Survey (EWS) and Euclid Deep Survey (EDS). Starting from an X-ray luminosity funct…

astro-ph.GA2024★ 11 cited

Euclid preparation. LVIII. Detecting globular clusters in the Euclid survey

Euclid Collaboration, K. Voggel, A. Lançon +270

Extragalactic globular clusters (EGCs) are an abundant and powerful tracer of galaxy dynamics and formation, and their own formation and evolution is also a matter of extensive deb…