- VegaModel CNN-FCNN 34.5M params, 82 isotopes, val acc 99.89% - Generation 50k spectres synthetiques 1D (12-24h durees) - Entrainement 100 epochs sur RTX 5060 Ti (CUDA 12.8, Blackwell) - Detection continue avec soustraction du background - Capture background 24h avec gestion deconnexion - Docker Compose : conteneur train (GPU) + detect (CPU/USB) - Modele entraite inclus (vega_best.pt, 395 Mo) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
83 lines
546 B
Plaintext
83 lines
546 B
Plaintext
Ac-227
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Ac-228
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Ag-110m
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Am-241
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Au-198
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Ba-133
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Ba-137m
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Be-7
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Bi-210
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Bi-211
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Bi-212
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Bi-214
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C-14
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Cd-109
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Ce-139
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Ce-144
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Co-57
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Co-58
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Co-60
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Cr-51
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Cs-134
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Cs-137
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Eu-152
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Eu-154
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F-18
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Fe-59
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Ga-67
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Hf-181
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Hg-203
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I-123
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I-129
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I-131
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In-111
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Ir-192
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K-40
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Lu-177
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Mn-54
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Na-22
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Pa-231
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Pa-234m
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Pb-210
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Pb-211
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Pb-212
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Pb-214
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Po-210
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Po-212
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Po-214
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Po-216
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Po-218
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Pr-144
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Ra-223
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Ra-224
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Ra-226
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Ra-228
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Rh-106
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Rn-220
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Rn-222
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Ru-106
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Sb-125
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Sc-46
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Se-75
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Sm-153
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Sn-113
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Sr-85
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Sr-90
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Ta-182
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Tc-99m
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Th-228
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Th-230
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Th-231
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Th-232
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Th-234
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Tl-201
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Tl-207
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Tl-208
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U-234
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U-235
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U-238
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Xe-133
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Y-88
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Y-90
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Zn-65
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