Development and Validation of Advanced Neural Networks for Gamma-Ray Spectral Analysis
Gamma-ray spectroscopy is critical for applications ranging from nuclear facility monitoring to emergency response. However, traditional analysis methods struggle with overlapping peaks, noise, and complex spectra, often requiring expert intervention and achieving limited accuracy. This research introduces an innovative approach leveraging specialized neural network architectures combining Convolutional Neural Networks (CNNs) with Transformer layers. Designed specifically …
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