activity
20162026
most citedFinding Strong Gravitational Lenses in the Kilo Degree Survey with Convolutional Neural Networks

187 citations · 1.2k across the 42 of their papers we have counts for

collaborators

45 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

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.GA2026

Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses

Euclid Collaboration, L. R. Ecker, M. Fabricius +346

We present 72 additional galaxy-galaxy strong lenses that complement the sample discovered in the Euclid Quick Release 1 data (63.1 deg^2) of the Strong Lens Discovery Engine (SLDE…

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.HE2025★ 3 cited

The Advanced X-ray Imaging Satellite (AXIS) Community Science Book

Michael Koss, Nafisa Aftab, Steven W. Allen +395

The AXIS Community Science Book represents the collective effort of 592 scientists worldwide to define the transformative science enabled by the Advanced X-ray Imaging Satellite (A…

astro-ph.CO2025

Constraining compact dark matter with time-varying quasar equivalent widths

Georgios Vernardos, James Hung Hsu Chan, Frederic Courbin

One of the possible explanations for dark matter is that of compact dark objects of baryonic origin, such as black holes or even planets. Accumulating evidence, including the disco…

astro-ph.IM2025

LTDE: The Lens Time Delay Experiment I. From pixels to light curves

Favio Neira, Frédéric Courbin, Frédéric Dux +1

Gravitationally lensed quasars offer a unique opportunity to study cosmological and extragalactic phenomena, using reliable light curves of the lensed images. This requires accurat…

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.CO2025★ 1 cited

Euclid Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile

Euclid Collaboration, V. Busillo, C. Tortora +312

The Euclid mission aims to survey around 14000 deg^{2} of extragalactic sky, providing around 10^{5} gravitational lens images. Modelling of gravitational lenses is fundamental to…

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.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.GA2024★ 2 cited

Predicting High-magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks

Joshua Fagin, Eric Paic, Favio Neira +6

Upcoming widefield surveys, such as the Rubin Observatory's Legacy Survey of Space and Time (LSST), will monitor thousands of strongly lensed quasars over a 10 yr period. Many of t…

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★ 10 cited

Exploiting the diversity of modeling methods to probe systematic biases in strong lensing analyses

A. Galan, G. Vernardos, Q. Minor +3

Challenges inherent to high-resolution and high signal-to-noise data as well as model degeneracies can cause systematic biases in analyses of strong lens systems. In the past decad…

astro-ph.GA2023★ 4 cited

Microlensing of strongly lensed quasars

G. Vernardos, D. Sluse, D. Pooley +9

Strong gravitational lensing of quasars has the potential to unlock the poorly understood physics of these fascinating objects, as well as serve as a probe of the lensing mass dist…

astro-ph.GA2023★ 2 cited

Accelerating galaxy dynamical modeling using a neural network for joint lensing and kinematics analyses

Matthew R. Gomer, Sebastian Ertl, Luca Biggio +6

Strong gravitational lensing is a powerful tool to provide constraints on galaxy mass distributions and cosmological parameters, such as the Hubble constant, . Nevertheless, i…

astro-ph.GA2023★ 15 cited

Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events

Euclid Collaboration, L. Leuzzi, M. Meneghetti +216

Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions…