Neutron-gamma pulse shape discrimination for EJ301 liquid scintillator based on machine learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10967-023-09327-z.pdf
Reference43 articles.
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2. Dolan JL, Flaska M, Poitrasson-Riviere A et al (2014) Plutonium measurements with a fast-neutron multiplicity counter for nuclear safeguards applications. Nucl Inst Methods Phys A 763:565–574. https://doi.org/10.1016/j.nima.2014.06.028
3. Chichester DL, Thompson SJ, Kinlaw MT et al (2015) Statistical estimation of the performance of a fast-neutron multiplicity system for nuclear material accountancy. Nucl Inst Methods Phys A 784:448–454. https://doi.org/10.1016/j.nima.2014.09.027
4. Di Fulvio A, Shin TH, Jordan T et al (2017) Passive assay of plutonium metal plates using a fast-neutron multiplicity counter. Nucl Inst Methods Phys A 855:92–101. https://doi.org/10.1016/j.nima.2017.02.082
5. Di Fulvio A, Shin TH, Basley A et al (2018) Fast-neutron multiplicity counter for active measurements of uranium oxide certified material. Nucl Inst Methods Phys A 907:248–257. https://doi.org/10.1016/j.nima.2018.05.049
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