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Thermal neutron beam optimization for PGNAA applications using Q-learning algorithm and neural network
As a powerful, non-destructive analysis tool based on thermal neutron capture reaction, prompt gamma neutron activation analysis (PGNAA) indeed requires the appropriate neutron source. Neutrons produced by electron Linac-based neutron sources should be thermalized to be appropriate for PGNAA. As a r...
Autores principales: | Zolfaghari, Mona, Masoudi, S. Farhad, Rahmani, Faezeh, Fathi, Atefeh |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126936/ https://www.ncbi.nlm.nih.gov/pubmed/35606380 http://dx.doi.org/10.1038/s41598-022-12187-4 |
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