Studies on fast neutron multiplicity measurement based on neural network
In the measurement of fast neutron multiplicity, the multiplicity counting rates of neutrons, including singles, doubles, and triplets, are often substituted into the measurement equation to solve quality problems. To simplify the solution process and directly obtain the sample quality through S, D,...
Main Authors: | Kaile Li, Sufen Li, Quanhu Zhang, Xingfu Cai, Jianqing Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2021-05-01
|
Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0045381 |
Similar Items
-
Optimal design of the neutron multiplicity counter based on metaheuristic algorithm
by: Yunfeng Lu, et al.
Published: (2023-01-01) -
Simulation study of neutron multiplicity of plutonium samples of different shapes
by: Yunfeng Lu, et al.
Published: (2022-09-01) -
A novel reconstruction algorithm based on density clustering for cosmic-ray muon scattering inspection
by: Linjun Hou, et al.
Published: (2021-07-01) -
Learning Fast Neutron Cross Section by Deep Neural Network
by: HU Zehua;YING Yangjun;YONG Heng;XU Ruirui
Published: (2023-04-01) -
Fast Neutron Fluence Rate Measurement for the Neutron Beams at IHNI-1
by: WANG Gu-jun1;CHEN Jun1;LI Chun-juan1;SONG Ming-zhe1;ZHANG Zi-zhu2
Published: (2017-03-01)