0847a3fc80
Root cause of Am-241 misidentification: the Radiacode 103's CsI(Tl) crystal shifts low-energy peaks upward (59.5 keV → 71.6 keV for Am-241) due to non-proportional scintillation response. The model was trained on theoretical peak positions and couldn't match the shifted real peaks. Changes: - Add inverse CsI(Tl) non-linear correction to inference pipeline (radiacode_monitor.py, web/config.py, test_detection.py) E_apparent = E_true * (1 + 0.37 * exp(-E_true/100)) Corrects channel mapping so peaks appear at theoretical energies - Fix energy calibration: DetectorConfig now uses E = 0.33 + 2.97*ch with 1023 channels, matching the real detector (was energy_min=20, skip_first_channel=True, different channel width) - Add K-escape peaks for CsI(Tl) iodine X-ray escape (E - 28.5 keV) - Add asymmetric peak shapes for low-energy tails (< 200 keV) - Add log1p normalization in dataset and inference (replaces max-norm) - Add background-subtracted training mode (subtract_background flag) - Add low-signal augmentation (0.01-5 Bq activities, 30-300s durations) - Update docker-compose.yml: batch_size=32, duration=30-300s, CSI_NONLINEAR_ALPHA/BETA env vars for detect and web - Web dashboard: apply CsI correction to displayed spectra - Various UI fixes (Chart.js width, zoom/pan, isotope lines) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
82 lines
2.1 KiB
YAML
82 lines
2.1 KiB
YAML
services:
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train:
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build:
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context: ./train
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dockerfile: Dockerfile
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volumes:
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- ./data:/data
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- ./models:/models
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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environment:
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- NVIDIA_VISIBLE_DEVICES=1
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- CUDA_VISIBLE_DEVICES=1
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- DATA_DIR=/data/synthetic
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- MODEL_DIR=/models
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- NUM_SAMPLES=50000
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- EPOCHS=100
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- BATCH_SIZE=32
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- LEARNING_RATE=0.001
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- DETECTOR=radiacode_103
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- MIN_DURATION=30
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- MAX_DURATION=300
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- SEED=42
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- MEASURED_BACKGROUND_PATH=/data/background_24h.npy
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restart: "no"
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detect:
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build:
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context: ./detect
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dockerfile: Dockerfile
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volumes:
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- ./models:/models:ro
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- ./logs:/logs
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- ./data:/data
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devices:
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- /dev/bus/usb:/dev/bus/usb
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privileged: true
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environment:
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- MODEL_PATH=/models/vega_best.pt
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- ISOTOPE_INDEX_PATH=/models/vega_isotope_index.txt
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- BACKGROUND_PATH=/data/background_24h.npy
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- STATE_PATH=/data/monitor_state.json
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- CPS_LOG_PATH=/data/cps_log.jsonl
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- VEGA_ML_PATH=/models/vega_ml
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- VEGA_DEVICE=cpu
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- LOG_DIR=/logs
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- SAMPLE_INTERVAL=60
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- REPORT_HOUR=0
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- MIN_LIVE_TIME=3600
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- THRESHOLD=0.5
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- CSI_NONLINEAR_ALPHA=0.37
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- CSI_NONLINEAR_BETA=100.0
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restart: unless-stopped
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web:
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build:
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context: ./web
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dockerfile: Dockerfile
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ports:
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- "8000:8080"
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volumes:
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- ./data:/data:ro
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- ./logs:/logs:ro
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- ./models/vega_isotope_index.txt:/models/vega_isotope_index.txt:ro
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environment:
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- STATE_PATH=/data/monitor_state.json
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- CPS_LOG_PATH=/data/cps_log.jsonl
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- BACKGROUND_PATH=/data/background_24h.npy
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- BACKGROUND_SNAPSHOT_PATH=/data/background_snapshot.json
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- LOG_DIR=/logs
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- ISOTOPE_INDEX_PATH=/models/vega_isotope_index.txt
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- ENERGY_CALIBRATION_OFFSET=0.33
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- ENERGY_CALIBRATION_SLOPE=2.97
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- CSI_NONLINEAR_ALPHA=0.37
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- CSI_NONLINEAR_BETA=100.0
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restart: unless-stopped
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