Spectral unmixing applied to fast identification of γ-emitting radionuclides using NaI(Tl) detectors
Abstract
Spectral unmixing was investigated for fast spectroscopic identification in γ-emitter mixtures at low-statistics in the case of measurements performed to prevent illegal nuclear material trafficking or for in situ environmental analysis following a radiological or nuclear accident. For that purpose, a multiplicative update algorithm based on full-spectrum analysis was tested in the case of a 3″x3″ NaI(Tl) detector. Automatic decision-making was addressed using Monte Carlo calculations of decision thresholds and detection limits. The first results obtained with a portable instrument equipped with a 3″x3″ NaI(Tl) detector designed for the control of food samples by non-expert users following a radiological or nuclear accident, are also presented.
Keywords
Spectroscopic measurements
NaI(Tl) detector
Environmental analysis
Automatic decision-making
Spectral unmixing
Inverse problem
Multiplicative update algorithm
Signal processing
Spectrum analysis
Monte Carlo
Ionizing radiation
Radioactivity
Spectrometry
nuclear instrumentation
gamma-rays
gamma spectrometry
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