The Strong Lensing Discovery Engine F – Bright and low-redshift strong lenses

This repository shares catalogues, images, and modelling results for strong lens candidates found in the Euclid Q1 data release as part of the Strong Lensing Discovery Engine F. Lenses were found through a combined machine learning, citizen science, and expert visual inspection campaign. The sample is described and presented in the following paper. It extends these Euclid Q1 discovery engine paper series:A: System overview and lens catalogue B: Early strong lens candidates from visual inspection of high velocity dispersion galaxies C: Finding lenses with machine learning D: Double-source-plane lens candidates E: Ensemble classification of strong gravitational lenses: lessons for Data Release 1 F: Bright and low redshift strong lenses If you use Euclid Q1 data in your research, please also cite the core Euclid Q1 papers. Euclid is a space telescope surveying ~14k square degrees over the next six years. Q1 is the first major data release, covering 63 square degrees in the Euclid Deep Fields (see the paper). It is representative of the ongoing Euclid Wide Survey. Euclid images include a VIS optical image (400-900nm) and 3 NIR images (Y, J, H). The Euclid VIS PSF FWHM is approx. 0.16 arcsec per pixel. We are continuing to search for strong lenses in the ongoing survey. We expect around 10k candidates in Euclid DR1.