code_public/radiacode
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fix: CsI(Tl) non-linear response correction + detector calibration overhaul

Browse Source 
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>
This commit is contained in:
Jacquin Antoine
2026-05-21 17:35:22 +02:00
parent 3b4446b181
commit 0847a3fc80
21 changed files with 913 additions and 278 deletions
Download Patch File Download Diff File Expand all files Collapse all files

51
web/static/js/spectrum.js
View File

@ -22,22 +22,29 @@ function updateSpectrumChart(data) {
const showBgOverlay = document.getElementById('show-bg-overlay').checked;
const ctx = document.getElementById('spectrum-chart').getContext('2d');
const toData = (counts, energies) => counts.map((v, i) => ({ x: energies[i], y: v }));
const energy = data.energy_kev;
const datasets = [{
label: data.background_subtracted ? 'Spectre (background soustrait)' : 'Spectre cumulé',
data: data.counts,
data: toData(data.counts, energy),
borderColor: '#4fc3f7',
backgroundColor: 'rgba(79, 195, 247, 0.1)',
borderWidth: 1,
pointRadius: 0,
fill: true,
fill: logScale ? 'origin' : true,
tension: 0.1,
}];
// Overlay background if requested and available
// Overlay background if requested and available, scaled to match spectrum max
if (showBgOverlay && bgOverlayData) {
const specMax = Math.max(...data.counts);
const bgMax = Math.max(...bgOverlayData.counts);
const bgScale = bgMax > 0 ? specMax / bgMax : 1;
const bgEnergy = bgOverlayData.energy_kev || energy;
datasets.push({
label: 'Background',
data: bgOverlayData.counts,
data: bgOverlayData.counts.map((v, i) => ({ x: bgEnergy[i] ?? energy[i], y: v * bgScale })),
borderColor: 'rgba(255, 152, 0, 0.6)',
backgroundColor: 'rgba(255, 152, 0, 0.05)',
borderWidth: 1,
@ -48,7 +55,6 @@ function updateSpectrumChart(data) {
}
const chartData = {
labels: data.energy_kev,
datasets: datasets,
};
@ -58,10 +64,11 @@ function updateSpectrumChart(data) {
annotations = buildIsotopeAnnotations(detectedOnly, (data.isotopes_detected || []).map(i => i.isotope));
}
const existingMin = spectrumChart?.scales.x?.min;
const existingMax = spectrumChart?.scales.x?.max;
const xMin = existingMin ?? data.energy_kev[0];
const xMax = existingMax ?? data.energy_kev[data.energy_kev.length - 1];
const firstPt = datasets[0].data[0];
const lastPt = datasets[0].data[datasets[0].data.length - 1];
const panRange = spectrumChart?._panRange;
const xMin = panRange ? panRange[0] : (firstPt?.x ?? 0);
const xMax = panRange ? panRange[1] : (lastPt?.x ?? 3000);
const options = {
responsive: true,
maintainAspectRatio: false,
@ -73,13 +80,10 @@ function updateSpectrumChart(data) {
enabled: true,
mode: 'index',
intersect: false,
filter: (item) => item.raw != null,
filter: (item) => item.parsed.y != null,
callbacks: {
title: (items) => {
const idx = items[0].dataIndex;
return `${data.energy_kev[idx]} keV`;
},
label: (item) => `${item.dataset.label}: ${item.raw.toFixed(1)} counts`
title: (items) => `${items[0].parsed.x.toFixed(1)} keV`,
label: (item) => `${item.dataset.label}: ${item.parsed.y.toFixed(1)} counts`
}
},
annotation: {
@ -108,8 +112,8 @@ function updateSpectrumChart(data) {
},
y: {
type: logScale ? 'logarithmic' : 'linear',
min: logScale ? 0.5 : undefined,
title: { display: true, text: logScale ? 'Comptages (log)' : 'Comptages', color: '#888' },
min: logScale ? 0.9 : undefined,
ticks: { color: '#888' },
grid: { color: '#333' },
}
@ -122,7 +126,12 @@ function updateSpectrumChart(data) {
spectrumChart.update();
} else {
spectrumChart = new Chart(ctx, { type: 'line', data: chartData, ...options });
enablePan(spectrumChart, 'reset-zoom-spectrum', data.energy_kev[0], data.energy_kev[data.energy_kev.length - 1]);
const panMin = firstPt?.x ?? 0;
const panMax = lastPt?.x ?? 3000;
enablePan(spectrumChart, 'reset-zoom-spectrum', panMin, panMax);
// Fix: Chart.js may read wrong canvas dimensions on first render;
// resize on next frame ensures layout is fully computed.
requestAnimationFrame(() => spectrumChart.resize());
}
}
@ -166,10 +175,16 @@ document.getElementById('show-bg-overlay').addEventListener('change', async (e)
refreshSpectrum();
});
// Reset zoom
// Reset zoom — restore full energy range
document.getElementById('reset-zoom-spectrum')?.addEventListener('click', () => {
if (spectrumChart) {
spectrumChart.resetZoom();
delete spectrumChart._panRange;
const firstPt = spectrumChart.data.datasets[0]?.data?.[0];
const lastPt = spectrumChart.data.datasets[0]?.data?.[spectrumChart.data.datasets[0].data.length - 1];
spectrumChart.options.scales.x.min = firstPt?.x ?? 0;
spectrumChart.options.scales.x.max = lastPt?.x ?? 3000;
spectrumChart.update();
document.getElementById('reset-zoom-spectrum').style.display = 'none';
}
});