A correction method for point model equations in neutron multiplicity assay of spherical shell plutonium samples

Chen Ligao; Liu Xiaobo; Gong Jian; Wang Kan; Fan Xiaoqiang; Xie Qilin; Dong Chuanjiang

doi:10.11884/HPLPB201426.094002

Volume 26 Issue 09

Aug. 2014

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Article Navigation > High Power Laser and Particle Beams > 2014 > 26(09): 094002

Liu Jiao, Yan Liping, Li Bin, et al. Artificial neural network modeling of component nonlinear behavior and application in conducted interference analysis[J]. High Power Laser and Particle Beams, 2015, 27: 103212. doi: 10.11884/HPLPB201527.103212

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Chen Ligao, Liu Xiaobo, Gong Jian, et al. A correction method for point model equations in neutron multiplicity assay of spherical shell plutonium samples[J]. High Power Laser and Particle Beams, 2014, 26: 094002. doi: 10.11884/HPLPB201426.094002

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A correction method for point model equations in neutron multiplicity assay of spherical shell plutonium samples

doi: 10.11884/HPLPB201426.094002

1.
Institute of Nuclear Physics and Chemistry,CAEP,P.O.Box 919-210,Mianyang 621900,China;
2.
Department of Engineering Physics,Tsinghua University,Beijing 100084,China

Received Date: 2013-12-17
Rev Recd Date: 2014-05-22
Publish Date: 2014-08-18

Abstract

Abstract

To decrease the significant assay mass bias of spherical shell plutonium samples in nuclear disarmament verification and increase the confidence of verification results, the failure of assumptions in point model equations was studied. Doubles factorial and triples factorial correction factors for spontaneous fission neutrons and oxide generated neutrons were then introduced into the point model equations. The relationships between the correction factors and the sample mass and multiplication were derived with Monte Carlo calculation, and the corrected equations were solved by an iteration process. The calculation results show that: compared with the point model assay, the corrected point model assay decreases the average assay mass bias from -4.70% to -0.70%, and average assay alpha bias from 11.45% to 2.31%.
- neutron multiplicity,
- point model correction,
- arms control,
- plutonium sample,
- attribute measurement

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