The SPHINX public data release - II. Using low-ionisation absorption lines and dust attenuation to predict Lyman continuum escape

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Table 2.

Comparison of f_esc prediction accuracy and leaker classification performance using different A₁₅₀₀ estimates.

	A₁₅₀₀ from

	Simulation	CIGALE	LEPHARE	FICUS
Mean error on f_esc	0.0154	0.0238	0.0215	0.0243
Mean error ( $\tilde{R} < 0.1$ $Mathematical equation: $ \tilde{R} < 0.1 $$ )	0.0027	0.0030	0.0028	0.0030
Mean error ( $\tilde{R} > 0.1$ $Mathematical equation: $ \tilde{R} > 0.1 $$ )	0.0459	0.0513	0.0566	0.0634
Completeness	81.6%	87.3%	80.7%	76.6%
Precision	81.1%	67.6%	78.3%	75.9%

Mean error on $f_{esc}^{900}$ $Mathematical equation: $ {f_{\mathrm{esc}}^{900}} $$	0.0141	0.020	0.0186	0.0208
Mean error ( $\tilde{R} < 0.1$ $Mathematical equation: $ \tilde{R} < 0.1 $$ )	0.0016	0.0018	0.0017	0.0017
Mean error ( $\tilde{R} > 0.1$ $Mathematical equation: $ \tilde{R} > 0.1 $$ )	0.0440	0.0443	0.0505	0.0558
Completeness ( $f_{esc}^{900}$ $Mathematical equation: $ {f_{\mathrm{esc}}^{900}} $$ )	80.8%	87.3%	79.7%	76.0%
Precision ( $f_{esc}^{900}$ $Mathematical equation: $ {f_{\mathrm{esc}}^{900}} $$ )	81.6%	69.3%	79.7%	78.8%

Notes. The mean errors are absolute errors, $⟨ | f_{esc} - f_{esc}^{predicted} | ⟩$ $Mathematical equation: $ \langle |{f_{\mathrm{esc}}} - f_\mathrm{{esc}}^\mathrm{{predicted}}| \rangle $$ . The completeness and precision values refer to the identification of galaxies with f_esc > 0.1 (leakers). Completeness is the number of true positives divided by the sum of true positives and false negatives, while precision is the number of true positives divided by the sum of true positives and false positives.

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