114 citations · 338 across the 32 of their papers we have counts for
17 papers · 1 filter
Euclid: A blue galaxy population and a brightest cluster galaxy in the making in a MaDCoWS2 galaxy cluster candidate
A. Trudeau, A. H. Gonzalez, S. A. Stanford +152
We present an example cluster follow-up study with Euclid. Our target, a candidate cluster nicknamed the 'Puddle', was initially discovered by the Massive and Distant…
Optimizing Photometric Redshift Training Sets I: Efficient Compression of the Galaxy Color-Redshift Relation with UMAP
Finian Ashmead, Jeffrey A. Newman, Brett H. Andrews +4
Spectroscopic datasets are essential for training and calibrating photometric redshift (photo-) methods. However, spectroscopic redshifts (spec-'s) constitute a biased and sp…
Euclid Quick Data Release (Q1). The average far-infrared properties of Euclid-selected star-forming galaxies
Euclid Collaboration, R. Hill, A. Abghari +302
The first Euclid Quick Data Release contains millions of galaxies with excellent optical and near-infrared (IR) coverage. To complement this dataset, we investigate the average far…
Euclid preparation: TBD. Cosmic Dawn Survey: evolution of the galaxy stellar mass function across 0.2<z<6.5 measured over 10 square degrees
Euclid Collaboration, L. Zalesky, J. R. Weaver +304
The Cosmic Dawn Survey Pre-launch (PL) catalogues cover an effective 10.13 deg area with uniform deep Spitzer/IRAC data ( mag, 5), the largest area covered to the…
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). 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) -- Data release overview
Euclid Collaboration, H. Aussel, I. Tereno +407
The first Euclid Quick Data Release, Q1, comprises 63.1 sq deg of the Euclid Deep Fields (EDFs) to nominal wide-survey depth. It encompasses visible and near-infrared space-based i…
Euclid Quick Data Release (Q1). First Euclid statistical study of galaxy mergers and their connection to active galactic nuclei
Euclid Collaboration, A. La Marca, L. Wang +334
Galaxy major mergers are a key pathway to trigger AGN. We present the first detection of major mergers in the Euclid Deep Fields and analyse their connection with AGN. We construct…
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. 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)…
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. 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…