c764a5c264
- Tooltip entier (intersect:false) + ligne verticale crosshair sur tous les graphes - Zoom molette/pinch sur l'axe X, pan souris, limites clamped 30-3000 keV - Toggle échelle log/linéaire onglet Background - Extraction continuum détecteur (isotope peaks subtracted + Gaussian smoothing) - Reprise snapshot précédent au démarrage capture_background.py - Suppression refs "Théorique" et "Bruit capteur" de l'interface - Plugin chartjs-plugin-zoom + hammerjs via CDN - Fix Chart constructor spread operator Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
74 lines
2.4 KiB
Python
74 lines
2.4 KiB
Python
"""
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CsI(Tl) detector response continuum for Radiacode 103.
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Models ONLY the detector's noise continuum. Photopeaks from environmental
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isotopes depend on measurement location and are NOT included.
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Auto-calibrated from measured background using smoothing spline (GCV)
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when available. Falls back to a simple parametric model otherwise.
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"""
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import numpy as np
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from app.config import ENERGY_OFFSET, ENERGY_SLOPE, NUM_CHANNELS
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def _get_continuum_cps():
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"""Try to load calibrated spline continuum from measured data."""
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try:
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from app.bg_calibration import load_or_calibrate
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calibrated = load_or_calibrate()
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if calibrated and "continuum_cps" in calibrated:
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return np.array(calibrated["continuum_cps"])
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except Exception:
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pass
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return None
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def generate_continuum_only(cps: float = 6.0, live_time_s: float = 3600.0):
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"""Detector response continuum only (no photopeaks, no noise)."""
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channels = np.arange(NUM_CHANNELS, dtype=np.float64)
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energy_axis = ENERGY_OFFSET + ENERGY_SLOPE * channels
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total_counts = cps * live_time_s
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# Try calibrated spline first
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continuum_cps = _get_continuum_cps()
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if continuum_cps is not None and len(continuum_cps) == NUM_CHANNELS:
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# Scale calibrated CPS to match requested total counts
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continuum = continuum_cps.copy()
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if continuum.sum() > 0:
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continuum *= total_counts / continuum.sum()
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else:
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# Fallback: simple parametric model
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continuum = _fallback_continuum(energy_axis, total_counts)
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return {
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"energy_kev": [round(float(E), 2) for E in energy_axis],
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"counts": [round(float(c), 1) for c in continuum],
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"cps": round(cps, 2),
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"live_time_s": round(live_time_s, 1),
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}
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def _fallback_continuum(energy_axis, total_counts):
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"""Simple parametric fallback when no measured data available."""
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E = energy_axis
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# Asymmetric hump
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hump_center, sigma_left, tail_decay_right = 110.0, 40.0, 100.0
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left = np.exp(-0.5 * ((E - hump_center) / sigma_left) ** 2)
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right = np.exp(-(E - hump_center) / tail_decay_right)
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hump = np.where(E <= hump_center, left, right)
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# Housing absorption
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absorption = 1.0 * (1.0 - np.exp(-E / 20.0))
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# Compton tail
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compton = 0.5 / (np.maximum(E, 1.0) + 15.0) ** 1.3
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continuum = (hump + compton) * absorption
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if continuum.sum() > 0 and total_counts > 0:
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continuum *= total_counts / continuum.sum()
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return continuum |