Document Type

Article

Publication Date

5-2020

Abstract

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 in Huang et al. (2020). 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.

Comments

Accepted for publication in The Astrophysical Journal. The strong lens candidates discovered in this article can be found at https://sites.google.com/usfca.edu/neuralens/publications/lens-candidates-huang-2020b

ORCID

https://orcid.org/0000-0001-8156-0330

Available for download on Thursday, May 20, 2021

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