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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 Journal 899 30.

  • Provider: AAS Journals

Caption: Figure 6.

Candidates with high CNN probability (pCNN ≥ 0.97) and low human score (phum = 0.2). There are some arc-like but nonlens features (interactions, spiral arms, rings, etc.) that can give rise to some high values of pCNN.

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