Automatic and Real-time Identification of Radionuclides in Gamma-ray Spectra: A new method based on Convolutional Neural Network trained with synthetic data set

Automatic and fast identification of gamma-ray-emitting radionuclides is a challenge in the field of nuclear safety, especially in case of emergency, since it requires complex calculations and often the knowledge of experts to interpret the data. We present a development of an automatic identification method based on convolutional neural networks (CNNs) as a new tool to analyze gamma-ray spectra i...