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Background réaliste CsI(Tl) + hybridation mesuré/synthétique + dashboard continuum

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- Remplace le continuum exponentiel par un modèle réaliste CsI(Tl) dans
  l'entraînement (bosse asymétrique ~110 keV + queue Compton)
- Ajoute l'injection de background mesuré (70% mesuré / 30% synthétique)
  via --measured_background et MEASURED_BACKGROUND_PATH
- Ajoute l'endpoint /api/background/continuum et le toggle "Continuum CsI"
  sur le dashboard background
- Exclut le canal 1023 (overflow bin) de l'affichage web (NUM_CHANNELS=1023)
- Corrige le lissage Gaussien du background (normalisation locale aux bords)
- Met à jour README.md, CLAUDE.md, TUTORIEL.md, TOTO.md, vega_ml/README.md

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Jacquin Antoine
2026-05-19 18:14:00 +02:00
parent 1e0c1a5ea5
commit 75d271c696
17 changed files with 917 additions and 224 deletions
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8
web/app/routers/spectrum.py
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@ -29,7 +29,7 @@ async def get_current_spectrum():
"isotopes_detected": state.get("isotopes_detected", []),
"channels": list(range(NUM_CHANNELS)),
"energy_kev": energy_axis(),
"counts": state.get("counts", [0] * NUM_CHANNELS),
"counts": state.get("counts", [0] * 1024)[:NUM_CHANNELS],
}
@ -45,7 +45,7 @@ async def get_difference_spectrum():
except (json.JSONDecodeError, OSError):
raise HTTPException(status_code=503, detail="Monitor state file corrupt")
counts = np.array(state.get("counts", [0] * NUM_CHANNELS), dtype=np.float64)
counts = np.array(state.get("counts", [0] * 1024), dtype=np.float64)[:NUM_CHANNELS]
live_time = state.get("cumulated_live_time_s", 0)
if live_time <= 0:
@ -55,7 +55,7 @@ async def get_difference_spectrum():
if BACKGROUND_PATH.exists():
bg_data = np.load(str(BACKGROUND_PATH), allow_pickle=True).item()
bg_counts = bg_data["counts"].astype(np.float64)
bg_counts = bg_data["counts"].astype(np.float64)[:NUM_CHANNELS]
bg_live_time = float(bg_data["duration"])
bg_rate = bg_counts / bg_live_time
net_rate = np.clip(rate - bg_rate, 0, None)
@ -72,5 +72,5 @@ async def get_difference_spectrum():
"channels": list(range(NUM_CHANNELS)),
"energy_kev": energy_axis(),
"counts": [round(float(c), 1) for c in net_counts],
"raw_counts": state.get("counts", []),
"raw_counts": state.get("counts", [])[:NUM_CHANNELS],
}