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Table 5

SDC2 scores for source catalogs from different teams and methods.

Team/method/model Ms (score) Ndet Nmatch Nfalse Purity s¯Mathematical equation: $\[\bar{s}\]$
Post-challenge results
YOLO-CIANNA v1.0
     - BASE 24 664 36 360 33 404 2962 91.97% 0.8269
        ↪ purity threshold 18 459 22 126 21 927 199 99.10% 0.8509
     - BT1 25 453 36 971 34 115 2862 92.28% 0.8298
        ↪ purity threshold 19 631 23 505 23 294 212 99.10% 0.8518
     - BT2 25 392 36 438 33 785 2658 92.72% 0.8301
        ↪ purity threshold 19 484 23 354 23 135 220 99.06% 0.8517
     - BT3 25 387 36 571 33 791 2786 92.40% 0.8336
        ↪ purity threshold 19 072 22 752 22 543 209 99.08% 0.8553
Challenge results (Ms > 10 000)
MINERVA v0.1* 23 254 32 652 30 841 1811 94.5% 0.81
FORSKA-Sweden 22 489 33 294 31 507 1787 94.6% 0.77
Team SOFIA 16 822 24 923 23 486 1437 94.2% 0.78
NAOC-Tianlai 14 416 29 151 26 020 3131 89.3% 0.67
HI-FRIENDS 13 903 21 903 20 828 1075 95.1% 0.72
... ... ... ... ... ... ...

Notes. The bold elements highlight the optimized metric for each result. *Combination of the catalogs obtained with a prototype version of YOLO-CIANNA 3D and CHADHOC (Hartley et al. 2023).

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