550 citations · 1.2k across the 65 of their papers we have counts for
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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…
Euclid preparation LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey
Euclid Collaboration, C. Bellhouse, J. B. Golden-Marx +292
The intracluster light (ICL) permeating galaxy clusters is a tracer of the cluster's assembly history, and potentially a tracer of their dark matter structure. In this work we expl…
Euclid Quick Data Release (Q1). Galaxy shapes and alignments in the cosmic web
Euclid Collaboration, C. Laigle, C. Gouin +341
Galaxy morphologies and shape orientations are expected to correlate with their large-scale environment, since they grow by accreting matter from the cosmic web and are subject to…
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine E -- Ensemble classification of strong gravitational lenses: lessons for Data Release 1
Euclid Collaboration, P. Holloway, A. Verma +343
The Euclid Wide Survey (EWS) is expected to identify of order galaxy-galaxy strong lenses across deg. The Euclid Quick Data Release (Q1) of deg Eu…
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine D -- Double-source-plane lens candidates
Euclid Collaboration, T. Li, T. E. Collett +335
Strong gravitational lensing systems with multiple source planes are powerful tools for probing the density profiles and dark matter substructure of the galaxies. The ratio of Eins…
Euclid Quick Data Release (Q1) The Strong Lensing Discovery Engine B -- Early strong lens candidates from visual inspection of high velocity dispersion galaxies
Euclid Collaboration, K. Rojas, T. E. Collett +336
We present a search for strong gravitational lenses in Euclid imaging with high stellar velocity dispersion ( km/s) reported by SDSS and DESI. We performed expert visual…
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…
Euclid Quick Data Release (Q1). First Euclid statistical study of the active galactic nuclei contribution fraction
Euclid Collaboration, B. Margalef-Bentabol, L. Wang +331
Active galactic nuclei (AGN) play a key role in galaxy evolution but are challenging to identify due to their varied observational signatures. Furthermore, understanding their impa…
Euclid Quick Data Release (Q1) Exploring galaxy properties with a multi-modal foundation model
Euclid Collaboration, M. Siudek, M. Huertas-Company +321
Modern astronomical surveys, such as the Euclid mission, produce high-dimensional, multi-modal data sets that include imaging and spectroscopic information for millions of galaxies…
Euclid Quick Data Release (Q1). Photometric redshifts and physical properties of galaxies through the PHZ processing function
Euclid Collaboration, M. Tucci, S. Paltani +344
The ESA Euclid mission will measure the photometric redshifts of billions of galaxies in order to provide an accurate 3D view of the Universe at optical and near-infrared wavelengt…
Euclid Quick Data Release (Q1). Extending the quest for little red dots to z<4
Euclid Collaboration, L. Bisigello, G. Rodighiero +348
Recent James Webb Space Telescope (JWST) observations have revealed a population of sources with a compact morphology and a characteristic `v-shaped' continuum, namely blue at rest…
Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies
Euclid Collaboration, P. Corcho-Caballero, Y. Ascasibar +318
Investigating what drives the quenching of star formation in galaxies is key to understanding their evolution. The Euclid mission will provide rich data from optical to infrared wa…
Euclid Quick Data Release (Q1). A first view of the star-forming main sequence in the Euclid Deep Fields
Euclid Collaboration, A. Enia, L. Pozzetti +348
The star-forming main sequence (SFMS) is a tight relation observed between stellar masses and star formation rates (SFR) in a population of galaxies. This relation is observed at d…
Euclid Quick Data Release (Q1): The evolution of the passive-density and morphology-density relations between and
Euclid Collaboration, C. Cleland, S. Mei +320
The extent to which the environment affects galaxy evolution has been under scrutiny by researchers for decades. With the first data from Euclid, we can begin to systematically stu…
Euclid Quick Data Release (Q1). Exploring galaxy morphology across cosmic time through Sersic fits
Euclid Collaboration, L. Quilley, I. Damjanov +333
We present the results of the single-component Sérsic profile fitting for the magnitude-limited sample of \IE galaxies within the 63.1 deg area of the Euclid Quick Data Re…
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…
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…
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).…
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…