activity
20232026
most citedEuclid. I. Overview of the Euclid mission

550 citations · 696 across the 21 of their papers we have counts for

collaborators

23 papers

astro-ph.IM2026

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems

Euclid Collaboration, S. H. Vincken, K. Rojas +302

We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…

astro-ph.GA2026

The assembly and fate of a giant disc galaxy in a protocluster at

Francesca Rizzo, Pavel E. Mancera Piña, Gabriele Pezzulli +1

Recent JWST observations revealed two massive (), unexpectedly large spiral galaxies at , both in overdense environments. We focus o…

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…

astro-ph.IM2025

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Collaboration, N. E. P. Lines, T. E. Collett +301

In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…

astro-ph.CO2025

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…

astro-ph.CO2025★ 2 cited

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…

astro-ph.GA2025★ 2 cited

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…

astro-ph.GA2025★ 5 cited

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…

astro-ph.GA2025★ 3 cited

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…

astro-ph.GA2025★ 9 cited

Euclid Quick Data Release (Q1): The Strong Lensing Discovery Engine A -- System overview and lens catalogue

Euclid Collaboration, M. Walmsley, P. Holloway +372

We present a catalogue of 497 galaxy-galaxy strong lenses in the Euclid Quick Release 1 data (63 deg). In the initial 0.45\% of Euclid's surveys, we double the total number of…

astro-ph.CO2025

Euclid Quick Data Release (Q1). NIR processing and data products

Euclid Collaboration, G. Polenta, M. Frailis +367

This paper describes the near-infrared processing function (NIR PF) that processes near-infrared images from the Near-Infrared Spectrometer and Photometer (NISP) instrument onboard…

astro-ph.GA2025★ 11 cited

Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine C: Finding lenses with machine learning

Euclid Collaboration, N. E. P. Lines, T. E. Collett +350

Strong gravitational lensing has the potential to provide a powerful probe of astrophysics and cosmology, but fewer than 1000 strong lenses have been confirmed so far. With a 0.16'…

astro-ph.GA2025

Euclid: Finding strong gravitational lenses in the Early Release Observations using convolutional neural networks

B. C. Nagam, J. A. Acevedo Barroso, J. Wilde +192

The Early Release Observations (ERO) from Euclid have detected several new galaxy-galaxy strong gravitational lenses, with the all-sky survey expected to find 170,000 new systems,…

astro-ph.GA2025★ 15 cited

Euclid: A complete Einstein ring in NGC 6505

C. M. O'Riordan, L. J. Oldham, A. Nersesian +195

We report the discovery of a complete Einstein ring around the elliptical galaxy NGC 6505, at . This is the first strong gravitational lens discovered in Euclid and the fi…

astro-ph.CO2025

Non-halo structures and their effects on gravitationally lensed galaxies

Baptiste Jego, Giulia Despali, Tamara Richardson +1

While the CDM model succeeds on large scales, its validity on smaller scales remains uncertain. Recent works suggest that non-halo dark matter structures, such as filaments and…

astro-ph.IM2024

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

R. Pearce-Casey, B. C. Nagam, J. Wilde +204

The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg^2 of the sky. Detecting this many le…

astro-ph.CO2024

Euclid preparation LXIII. Simulations and nonlinearities beyond CDM. 2. Results from non-standard simulations

Euclid Collaboration, G. Rácz, M. -A. Breton +275

The Euclid mission will measure cosmological parameters with unprecedented precision. To distinguish between cosmological models, it is essential to generate realistic mock observa…

astro-ph.CO2024★ 6 cited

Euclid preparation: Determining the weak lensing mass accuracy and precision for galaxy clusters

Euclid Collaboration, L. Ingoglia, M. Sereno +279

We investigate the level of accuracy and precision of cluster weak-lensing (WL) masses measured with the \Euclid data processing pipeline. We use the DEMNUni-Cov -body simulatio…

astro-ph.GA2024★ 20 cited

Euclid: The Early Release Observations Lens Search Experiment

J. A. Acevedo Barroso, C. M. O'Riordan, B. Clément +206

We investigated the ability of the Euclid telescope to detect galaxy-scale gravitational lenses. To do so, we performed a systematic visual inspection of the Eucl…

astro-ph.CO2024★ 550 cited

Euclid. I. Overview of the Euclid mission

Euclid Collaboration, Y. Mellier, Abdurro'uf +1134

The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Eucl…

astro-ph.CO2023★ 29 cited

Euclid preparation. XXXII. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

Euclid Collaboration, C. Giocoli, M. Meneghetti +213

The photometric catalogue of galaxy clusters extracted from ESA Euclid data is expected to be very competitive for cosmological studies. Using state-of-the-art hydrodynamical simul…

astro-ph.GA2023★ 24 cited

Strong lensing selection effects

Alessandro Sonnenfeld, Shun-Sheng Li, Giulia Despali +3

Context. Strong lenses are a biased subset of the general population of galaxies. Aims. The goal of this work is to quantify how lens galaxies and lensed sources differ from their…

astro-ph.GA2023★ 20 cited

The impact of human expert visual inspection on the discovery of strong gravitational lenses

Karina Rojas, Thomas E. Collett, Daniel Ballard +53

We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that…