A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data

Abstract The detection of illicit radiological materials is critical to establishing a robust second line of defence in nuclear security. Neutron-capture prompt-gamma activation analysis (PGAA) can be used to detect multiple radioactive materials across the entire Periodic Table. However, long detec...

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Autors principals:	Jino Mathew, Rohit Kshirsagar, Dzariff Z. Abidin, James Griffin, Stratis Kanarachos, Jithin James, Miltiadis Alamaniotis, Michael E. Fitzpatrick
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2023-06-01
Col·lecció:	Scientific Reports
Accés en línia:	https://doi.org/10.1038/s41598-023-36832-8
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