Figure 2 from New High-quality Strong Lens Candidates with Deep Learning in the Kilo-Degree Survey

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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 2.

Left: ROC curve for the CNN classifier based on 4000 galaxies in the testing sample. We also show the locations of three different values of the threshold (p_CNN = 0.25, 0.5, and 0.75) used to calculate the FPR and TPR. Right: probability distribution of the testing sample. The blue histogram represents the probability distribution of the positives, while the gray histogram shows that of the negatives.

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