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Table C.4.

Benchmark B3 with getsf using different subsets of images for the combination over wavelengths and detection. The qualities, defined in Eqs. (2)–(6), are evaluated for only acceptable sources, cf. Eq. (1), with errors in measurements within a factor of 21/2. The number of model sources NT = 919. Source measurements in the image of derived surface densities 𝒟13″ (at a fictitious wavelength ƛ = 165 μm) are known to be inaccurate (e.g., Appendix A of Paper I), hence the data are not presented. The extractions are sorted, from top to bottom, by their global qualities Q of 0.042, 0.030, 0.030, 0.028, 0.027, 0.027, 0.025.

Bench B3 λ NDλ NGλ NBλ NS Cλ Rλ Gλ QPλ QTλ QEλ QDλ QCRλ QPTEλ Qλ
– 70 91 91 0 0 0.099 1.000 0.099 1.000 0.999 1.000 1.000 0.099 0.998 0.0098
– 100 91 91 0 0 0.099 1.000 0.099 1.000 0.993 0.997 1.000 0.099 0.990 0.0097
– 160 179 156 23 0 0.195 1.000 0.170 0.859 0.882 0.908 0.705 0.195 0.687 0.0160
detection 165 – – – – – – – – – – – – – –
– 250 584 507 77 3 0.635 0.985 0.552 0.918 0.871 0.892 0.667 0.626 0.713 0.164
– 350 637 567 70 0 0.693 1.000 0.617 0.928 0.841 0.942 0.656 0.693 0.735 0.206
– 500 495 420 75 0 0.539 1.000 0.457 0.922 0.890 0.928 0.671 0.539 0.693 0.114
detection 70 91 91 0 2 0.099 0.796 0.099 1.000 0.999 1.000 1.000 0.079 0.998 0.0078
detection 100 91 91 0 5 0.099 0.465 0.099 1.000 0.995 0.997 1.000 0.046 0.991 0.0045
detection 160 185 156 29 8 0.201 0.555 0.170 0.851 0.887 0.914 0.669 0.112 0.690 0.0088
detection 165 – – – – – – – – – – – – – –
detection 250 578 506 72 5 0.629 0.958 0.551 0.914 0.877 0.890 0.578 0.602 0.713 0.137
detection 350 629 570 59 0 0.684 1.000 0.620 0.931 0.849 0.934 0.537 0.684 0.739 0.168
detection 500 502 450 52 0 0.546 1.000 0.490 0.924 0.813 0.927 0.555 0.546 0.696 0.103
– 70 91 91 0 0 0.099 1.000 0.099 1.000 0.997 1.000 1.000 0.099 0.997 0.0098
– 100 91 91 0 2 0.099 0.796 0.099 1.000 0.995 0.997 1.000 0.079 0.991 0.0077
– 160 178 151 27 4 0.194 0.789 0.164 0.858 0.879 0.916 0.623 0.153 0.691 0.0108
– 165 – – – – – – – – – – – – – –
detection 250 524 483 41 6 0.570 0.930 0.526 0.927 0.877 0.898 0.547 0.530 0.730 0.111
detection 350 561 519 42 1 0.610 0.998 0.565 0.930 0.845 0.931 0.457 0.609 0.732 0.115
detection 500 486 435 51 0 0.529 1.000 0.473 0.923 0.816 0.930 0.470 0.529 0.701 0.0825
– 70 91 91 0 0 0.099 1.000 0.099 1.000 0.999 1.000 1.000 0.099 0.998 0.0098
– 100 91 91 0 3 0.099 0.659 0.099 1.000 0.995 0.997 1.000 0.065 0.991 0.0064
detection 160 178 154 24 7 0.194 0.592 0.168 0.851 0.868 0.910 0.573 0.115 0.672 0.0074
– 165 – – – – – – – – – – – – – –
detection 250 524 483 41 6 0.570 0.930 0.526 0.925 0.879 0.899 0.537 0.530 0.731 0.109
detection 350 561 520 41 1 0.610 0.998 0.566 0.931 0.845 0.930 0.448 0.609 0.732 0.113
detection 500 484 435 49 0 0.527 1.000 0.473 0.924 0.817 0.932 0.460 0.527 0.704 0.0808
– 70 86 80 6 0 0.094 1.000 0.087 0.957 0.992 0.881 0.848 0.094 0.836 0.0058
– 100 91 91 0 0 0.099 1.000 0.099 0.955 0.994 0.909 0.825 0.099 0.863 0.0070
– 160 179 146 33 0 0.195 1.000 0.159 0.854 0.885 0.922 0.647 0.195 0.697 0.0140
– 165 – – – – – – – – – – – – – –
– 250 443 382 61 0 0.482 1.000 0.416 0.930 0.869 0.897 0.529 0.482 0.726 0.0769
– 350 490 458 32 0 0.533 1.000 0.498 0.935 0.878 0.903 0.534 0.533 0.742 0.105
detection 500 459 423 36 0 0.499 1.000 0.460 0.926 0.820 0.932 0.491 0.499 0.708 0.0799
– 70 91 91 0 0 0.099 1.000 0.099 1.000 0.998 0.999 0.981 0.099 0.997 0.0096
– 100 91 91 0 3 0.099 0.659 0.099 1.000 0.995 0.997 0.981 0.065 0.991 0.0063
– 160 186 159 27 4 0.202 0.802 0.173 0.853 0.877 0.904 0.493 0.162 0.676 0.0094
– 165 – – – – – – – – – – – – – –
detection 250 555 501 54 8 0.604 0.895 0.545 0.927 0.857 0.897 0.444 0.540 0.713 0.0932
– 350 577 521 56 2 0.628 0.993 0.567 0.926 0.833 0.931 0.428 0.623 0.718 0.109
– 500 489 430 59 1 0.532 0.998 0.468 0.918 0.808 0.930 0.370 0.531 0.690 0.0634
detection 70 91 91 0 2 0.099 0.796 0.099 1.000 0.999 1.000 1.000 0.079 0.998 0.0078
detection 100 91 91 0 6 0.099 0.401 0.099 1.000 0.995 0.997 1.000 0.040 0.991 0.0039
detection 160 179 153 26 7 0.195 0.594 0.166 0.856 0.875 0.910 0.604 0.116 0.681 0.0079
– 165 – – – – – – – – – – – – – –
detection 250 526 477 49 6 0.572 0.930 0.519 0.925 0.879 0.897 0.538 0.532 0.730 0.108
detection 350 562 518 44 1 0.612 0.998 0.564 0.930 0.845 0.928 0.448 0.610 0.729 0.112
detection 500 488 436 52 0 0.531 1.000 0.474 0.925 0.818 0.932 0.458 0.531 0.705 0.0814

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