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

11 citations · 23 across the 5 of their papers we have counts for

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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.GA2025★ 1 cited

Euclid: A machine-learning search for dual and lensed AGN at sub-arcsec separations

L. Ulivi, F. Mannucci, M. Scialpi +189

Cosmological models of hierarchical structure formation predict the existence of a widespread population of dual accreting supermassive black holes (SMBHs) on kpc-scale separations…

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★ 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.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'…