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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

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Showing astro-ph.IMShow all

7 papers · 1 filter

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.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.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.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.IM2022★ 32 cited

Using wavelets to capture deviations from smoothness in galaxy-scale strong lenses

Aymeric Galan, Georgios Vernardos, Austin Peel +2

Modeling the mass distribution of galaxy-scale strong gravitational lenses is a task of increasing difficulty. The high-resolution and depth of imaging data now available render si…

astro-ph.IM2022

Rubin-Euclid Derived Data Products: Initial Recommendations

Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117

This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…

astro-ph.IM2021★ 10 cited

Simulating time-varying strong lenses

Georgios Vernardos

We present a self-consistent and versatile forward modelling software package that can produce time series and pixel-level simulations of time-varying strongly lensed systems. The…