New High-quality Strong Lens Candidates with Deep Learning in the Kilo-Degree Survey
Authors: R. Li, N. R. Napolitano, C. Tortora, C. Spiniello, L. V. E. Koopmans, Z. Huang, N. Roy, G. Vernardos, S. Chatterjee, B. Giblin, F. Getman, M. Radovich, G. Covone, and K. Kuijken
2020 The Astrophysical Journal89930.
Provider: AAS Journals
Caption: Figure 8.
Colored stamps of the 82 best candidates, ranked according to P-value. The stamps (20″ × 20″) are obtained by combining g, r, and i KiDS images.