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Fig. B.1.

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Confusion matrix for the ANN classifier used to select LAEs. The three classes considered are: QSOs selected by a feature other than Lyα (“QSO cont.”), QSOs correctly selected by their Lyα line, in the correct redshift (“QSO LAE”), and low-z (z ≈ 0–2) galaxy contaminants (“Low−z galaxy”). The annotations in the cells are the normalized counts so the vertical columns add up to 1. We show the confusion matrices for the full test set (top, LLyα > 1043.5 erg s−1) and splitting in low (middle, LLyα < 1044 erg s−1) and high luminosity bins (bottom, LLyα > 1044 erg s−1). This figure shows that the ANN effectively selects QSO LAEs with an accuracy of 93% for the general sample, while maintaining a low false negative rate (6% and 1% in the case of objects labeled as QSO cont. and low-z galaxies, respectively).

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