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20242026
most citedEuclid preparation. The impact of redshift interlopers on the two-point correlation function analysis

2 citations · 7 across the 47 of their papers we have counts for

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34 papers · 1 filter

astro-ph.GA2026

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…

astro-ph.GA2026

Euclid Quick Data Release (Q1). Searching for radio-selected \Euclid-dark galaxies in the EDF-N

Euclid Collaboration, M. Giulietti, I. Prandoni +308

We present and investigate the properties of a sample of radio-selected, Euclid-dark galaxies, identified from LOFAR HBA observations at 144 MHz within the Euclid Deep Field-North…

astro-ph.GA2026

Euclid: Galaxy morphology and photometry from bulge-disc decomposition of Early Release Observations

L. Quilley, V. de Lapparent, M. Bolzonella +168

The background galaxies in Euclid ERO images of the Perseus cluster make up a remarkable sample in its combination of 0.57 deg area, 25.3 and 23.2 AB mag depth, as well as 0.1"…

astro-ph.GA2026

Euclid: Scaled-up little red dots and other sources with v-shaped spectral energy distributions at z>4

Euclid Collaboration, A. A. Tumborang, K. I. Caputi +169

Little Red Dots (LRDs) are some the most intriguing galaxy populations recently identified at z>~4 with JWST. They constitute the most extreme class of a more abundant population o…

astro-ph.GA2026

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…

astro-ph.GA2026

Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification

Euclid Collaboration, X. Xu, R. Chen +308

We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy lensing systems, applied to the Euclid Q1 imaging data. Starting from VIS catalog…