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New Strong Gravitational Lenses from the DESI Legacy Imaging Surveys Data Release 9

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arxiv 2206.02764 v3 pith:UTVNMOY7 submitted 2022-06-06 astro-ph.CO astro-ph.IM

classification astro-ph.COastro-ph.IM
keywords surveyscandidatesdatalegacydesigravitationalimaginglensing
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We have conducted a search for strong gravitational lensing systems in the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys Data Release 9. This is the third paper in a series. These surveys together cover $\sim$19,000 deg$^2$ visible from the Northern Hemisphere, reaching a z-band AB magnitude of $\sim$22.5. We use a deep residual neural network, trained on a compilation of known lensing systems and high-grade candidates as well as nonlenses in the same footprint. After applying our trained neural network to the survey data, we visually inspect and rank images with probabilities above a threshold which has been chosen to balance precision and recall. We have found 1895 lens candidates, of which 1512 are identified for the first time. Combining the discoveries from this work with those from Papers I (335) and II (1210), we have discovered a total of 3057 new candidates in the Legacy Surveys.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. ML-Driven Strong Lens Discoveries: Down to $\theta_E \sim 0.03''$ and $M_\mathrm{halo}< 10^{11} M_\odot$

    astro-ph.CO 2025-07 conditional novelty 6.0 of 10

    A ResNet and U-Net pipeline trained on simulated JWST images can detect and locate strong lenses with Einstein radii down to 0.03 arcseconds, forecasting about 17 detectable low-halo-mass lenses per square degree.

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