114 citations · 338 across the 32 of their papers we have counts for
34 papers
Euclid: Galaxy cluster detection through the weak lensing effect - algorithm assessment and selection
A. Manjón-García, G. Leroy, S. Pires +164
Weak gravitational lensing offers a powerful way to detect galaxy clusters by directly tracing their total matter content. Its effectiveness increases with the density of backgroun…
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…
Euclid: Improving redshift distribution reconstruction using a deep-to-wide transfer function
Y. Kang, S. Paltani, W. G. Hartley +165
The Euclid mission seeks to understand the Universe expansion history and the nature of dark energy, which requires a very accurate estimate of redshift distribution. Achieving thi…
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. XCI. Validation method for the detections in the Euclid Catalogue of Galaxy Clusters using external data
Euclid Collaboration, J. -B. Melin, S. A. Stanford +315
We present our methodology for identifying known clusters as counterparts to objects in the Euclid Catalogue of Galaxy Clusters (ECGC). Euclid is expected to detect a large number…
Euclid preparation. LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters
Euclid Collaboration, P. Bergamini, M. Meneghetti +263
We present HST2EUCLID, a novel Python code to generate Euclid realistic mock images in the , , , and photometric bands based on panchro…
Euclid preparation. Establishing the quality of the 2D reconstruction of the filaments of the cosmic web with DisPerSE using Euclid photometric redshifts
Euclid Collaboration, N. Malavasi, F. Sarron +313
Cosmic filaments are prominent structures of the matter distribution of the Universe. Modern detection algorithms are an efficient way to identify filaments in large-scale observat…
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). Combined Euclid and Spitzer galaxy density catalogues at 1.3 and detection of significant Euclid passive galaxy overdensities in Spitzer overdense regions
Euclid Collaboration, N. Mai, S. Mei +308
Euclid will detect tens of thousands of clusters and protoclusters at >1.3. With a total coverage of 63.1deg, the Euclid Quick Data Release 1 (Q1) is large enough to detect…
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 first catalogue of strong-lensing galaxy clusters
Euclid Collaboration, P. Bergamini, M. Meneghetti +375
We present the first catalogue of strong lensing galaxy clusters identified in the Euclid Quick Release 1 observations (covering ). This catalogue is the resu…
Euclid Quick Data Release (Q1). The active galaxies of Euclid
Euclid Collaboration, T. Matamoro Zatarain, S. Fotopoulou +355
We present a catalogue of candidate active galactic nuclei (AGN) in the Quick Release (Q1) fields. For each source we collect multi-wavelength photometry and spec…
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). The first Euclid view of Planck galaxy protocluster candidates at cosmic noon
Euclid Collaboration, T. Dusserre, H. Dole +339
[ABRIGED ABSTRACT] A large catalogue of candidate galaxy protoclusters with high star-formation rates was produced by the Planck collaboration. We search, in the first data release…
Euclid Quick Data Release (Q1). First detections from the galaxy cluster workflow
Euclid Collaboration, S. Bhargava, C. Benoist +351
The first survey data release by the Euclid mission covers approximately in the Euclid Deep Fields to the same depth as the Euclid Wide Survey. This paper show…
Euclid Quick Data Release (Q1). The role of cosmic connectivity in shaping galaxy clusters
Euclid Collaboration, C. Gouin, C. Laigle +337
The matter distribution around galaxy clusters is distributed over several filaments, reflecting their positions as nodes in the large-scale cosmic web. The number of filaments con…
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…