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Table C.3.

Benchmark A3 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 = 459. Source measurements in the image of derived surface densities 𝒟11″ (at a fictitious wavelength ƛ = 175 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 0.117, 0.102, 0.092, 0.083, 0.082, 0.078, and 0.022.

Bench A3 λ NDλ NGλ NBλ NS Cλ Rλ Gλ QPλ QTλ QEλ QDλ QCRλ QPTEλ Qλ
– 75 107 107 0 0 0.233 1.000 0.233 0.998 0.979 0.992 0.902 0.233 0.969 0.0475
– 110 107 107 0 0 0.233 1.000 0.233 0.998 0.994 0.995 0.902 0.233 0.987 0.0484
– 170 207 184 23 1 0.451 0.986 0.401 0.878 0.878 0.928 0.712 0.445 0.716 0.0909
detection 175 – – – – – – – – – – – – – –
– 250 327 286 41 1 0.712 0.994 0.623 0.943 0.893 0.935 0.712 0.708 0.787 0.247
– 350 324 292 32 0 0.706 1.000 0.636 0.935 0.867 0.941 0.703 0.706 0.764 0.241
– 500 303 270 33 0 0.660 1.000 0.588 0.935 0.864 0.939 0.712 0.660 0.759 0.210
detection 75 107 107 0 0 0.233 1.000 0.233 0.998 0.992 0.988 0.921 0.233 0.978 0.0490
detection 110 107 107 0 3 0.233 0.717 0.233 0.998 0.991 0.995 0.921 0.167 0.984 0.0353
detection 170 213 186 27 9 0.464 0.564 0.405 0.882 0.880 0.931 0.733 0.262 0.723 0.0562
detection 175 – – – – – – – – – – – – – –
detection 250 320 287 33 1 0.697 0.994 0.625 0.944 0.895 0.946 0.697 0.693 0.799 0.241
detection 350 319 294 25 0 0.695 1.000 0.641 0.938 0.868 0.941 0.686 0.695 0.766 0.234
detection 500 303 273 30 0 0.660 1.000 0.595 0.933 0.870 0.942 0.704 0.660 0.765 0.211
– 75 106 105 1 0 0.231 1.000 0.229 0.998 0.956 0.985 0.978 0.231 0.939 0.0485
– 110 107 107 0 0 0.233 1.000 0.233 0.979 0.990 0.961 0.888 0.233 0.931 0.0449
– 170 217 191 26 1 0.473 0.987 0.416 0.885 0.878 0.932 0.621 0.467 0.724 0.0874
– 175 – – – – – – – – – – – – – –
detection 250 316 282 34 3 0.688 0.950 0.614 0.942 0.887 0.943 0.479 0.654 0.788 0.152
– 350 308 282 26 0 0.671 1.000 0.614 0.935 0.862 0.937 0.484 0.671 0.755 0.151
– 500 291 265 26 0 0.634 1.000 0.577 0.927 0.861 0.938 0.494 0.634 0.749 0.135
– 75 107 104 3 0 0.233 1.000 0.227 0.998 0.948 0.970 0.876 0.233 0.918 0.0425
– 110 107 107 0 0 0.233 1.000 0.233 0.978 0.989 0.956 0.850 0.233 0.925 0.0428
– 170 216 192 24 1 0.471 0.987 0.418 0.886 0.868 0.928 0.503 0.465 0.714 0.0698
– 175 – – – – – – – – – – – – – –
detection 250 286 260 26 3 0.623 0.940 0.566 0.945 0.899 0.937 0.484 0.586 0.796 0.128
detection 350 284 264 20 1 0.619 0.993 0.575 0.941 0.870 0.929 0.491 0.614 0.760 0.132
detection 500 278 255 23 0 0.606 1.000 0.556 0.934 0.863 0.944 0.579 0.606 0.761 0.148
– 75 107 107 0 0 0.233 1.000 0.233 0.998 0.980 0.997 0.973 0.233 0.975 0.0516
– 110 107 107 0 0 0.233 1.000 0.233 0.998 0.993 0.998 0.973 0.233 0.989 0.0523
detection 170 218 190 28 12 0.475 0.464 0.414 0.885 0.880 0.936 0.584 0.221 0.729 0.0389
– 175 – – – – – – – – – – – – – –
detection 250 285 257 28 2 0.621 0.972 0.560 0.947 0.898 0.945 0.533 0.603 0.804 0.145
detection 350 284 262 22 0 0.619 1.000 0.571 0.940 0.868 0.939 0.546 0.619 0.766 0.148
detection 500 277 255 22 0 0.603 1.000 0.556 0.929 0.857 0.939 0.543 0.603 0.748 0.136
detection 75 107 107 0 0 0.233 1.000 0.233 0.997 0.981 0.997 1.000 0.233 0.975 0.0530
detection 110 107 107 0 3 0.233 0.717 0.233 0.998 0.992 0.998 1.000 0.167 0.988 0.0385
detection 170 215 191 24 9 0.468 0.568 0.416 0.878 0.874 0.934 0.555 0.266 0.717 0.0440
– 175 – – – – – – – – – – – – – –
detection 250 286 256 30 3 0.623 0.940 0.558 0.944 0.896 0.950 0.554 0.586 0.804 0.145
detection 350 284 261 23 0 0.619 1.000 0.569 0.940 0.868 0.940 0.551 0.619 0.767 0.149
detection 500 277 258 19 0 0.603 1.000 0.562 0.928 0.854 0.934 0.477 0.603 0.741 0.120
– 75 94 1 93 3 0.205 0.671 0.002 0.999 0.997 0.997 1.000 0.137 0.993 0.0003
– 110 91 42 49 2 0.198 0.796 0.092 0.893 0.987 0.747 0.829 0.158 0.658 0.0079
– 175 191 152 39 0 0.416 1.000 0.331 0.900 0.889 0.891 0.512 0.416 0.713 0.0503
– 175 – – – – – – – – – – – – – –
– 250 238 210 28 0 0.519 1.000 0.458 0.937 0.884 0.924 0.507 0.519 0.765 0.0920
– 350 242 218 24 0 0.527 1.000 0.475 0.942 0.894 0.932 0.508 0.527 0.785 0.0999
detection 500 248 226 22 0 0.540 1.000 0.492 0.936 0.868 0.946 0.508 0.540 0.768 0.1038

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