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.
- Pub Date:
- May 2020
- Astrophysics - Instrumentation and Methods for Astrophysics
- 31 pages, 17 figures. 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