HOLISMOKES - XIII. Strong-lens candidates at all mass scales and their environments from the Hyper-Suprime Cam and deep learning

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Volume 693 (January 2025)

A&A, 693 (2025) A291

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Table 4.

Median with their 1σ (86% percentile) values of the seven parameters predicted by the network of Schuldt et al. (2023a).

Parameter	With OD	Without OD
x	$0 . 05_{- 0.11}^{+ 0.12}$ $0.05^{+0.12}_{-0.11}$	$0 . 04_{- 0.12}^{+ 0.10}$ $0.04^{+0.10}_{-0.12}$
y	$0 . 07_{- 0.12}^{+ 0.14}$ $0.07^{+0.14}_{-0.12}$	$0 . 07_{- 0.11}^{+ 0.11}$ $0.07^{+0.11}_{-0.11}$
e_x	$0 . 01_{- 0.19}^{+ 0.13}$ $0.01^{+0.13}_{-0.19}$	$- 0 . 01_{- 0.17}^{+ 0.13}$ $-0.01^{+0.13}_{-0.17}$
e_y	$0 . 02_{- 0.20}^{+ 0.18}$ $0.02^{+0.18}_{-0.20}$	$0 . 02_{- 0.15}^{+ 0.16}$ $0.02^{+0.16}_{-0.15}$
θ_E	$1 . 43_{- 0.34}^{+ 0.55}$ $1.43^{+0.55}_{-0.34}$	$1 . 33_{- 0.28}^{+ 0.35}$ $1.33^{+0.35}_{-0.28}$
γ_ext, 1	$- 0 . 00_{- 0.03}^{+ 0.03}$ $-0.00^{+0.03}_{-0.03}$	$0 . 00_{- 0.03}^{+ 0.03}$ $0.00^{+0.03}_{-0.03}$
γ_ext, 2	$- 0 . 00_{- 0.03}^{+ 0.03}$ $-0.00^{+0.03}_{-0.03}$	$0 . 00_{- 0.02}^{+ 0.03}$ $0.00^{+0.03}_{-0.02}$

Notes. We separated the systems into samples flagged by any of our three overdensity (OD) criteria or those that did not get flagged at all. The corresponding histograms are shown in Fig. 6.

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