Strong gravitational lenses in DESI Legacy Surveys

DOI

We have conducted a search for new strong gravitational lensing systems in the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys' Data Release 8. We use deep residual neural networks, building on previous work presented by Huang+ (2020 J/ApJ/894/78). These surveys together cover approximately one-third of the sky visible from the Northern Hemisphere, reaching a z-band AB magnitude of ~22.5. We compile a training sample that consists of known lensing systems as well as non-lenses in the Legacy Surveys and the Dark Energy Survey. After applying our trained neural networks to the survey data, we visually inspect and rank images with probabilities above a threshold. Here we present 1210 new strong lens candidates.

Cone search capability for table J/ApJ/909/27/cand (Gravitational lens candidates)

Identifier
DOI http://doi.org/10.26093/cds/vizier.19090027
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJ/909/27
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/909/27
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/909/27
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJ/909/27
Provenance
Creator Huang X.; Storfer C.; Gu A.; Ravi V.; Pilon A.; Sheu W.; Venguswamy R.,Banka S.; Dey A.; Landriau M.; Lang D.; Meisner A.; Moustakas J.,Myers A.D.; Sajith R.; Schlafly E.F.; Schlegel D.J.
Publisher CDS
Publication Year 2022
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysical Processes; Astrophysics and Astronomy; Cosmology; Natural Sciences; Observational Astronomy; Physics