High Power Laser and Particle Beams, Volume. 34, Issue 8, 086002(2022)
Monte Carlo simulation of neutron capture γ-rays from nitrogen in the atmosphere
Figures & Tables(10)
Fig. 4. Neutron secondary gamma energy release rate
Fig. 5. Neutron secondary gamma energy and energy release rate
Fig. 7. Neutron secondary gamma energy release rate vs. time for different neutron energy
Fig. 8. Fitting parameters of neutron capture γ-ray energy release rate for different neutron energy
Table 1. Gamma ray fluence rate, relative error and FOM factor by using different variance reduction method
View tableView in ArticleTable 1. Gamma ray fluence rate, relative error and FOM factor by using different variance reduction method
distance/km method of variance reduction fluence rate of γ at 1×10−2 s /(10−3cm−2·s−1) relative error FOM factor 2.0 none 59.8 8.1% 2.7 time splitting 63.1 1.4% 3.5 geometry splitting 62.4 2.3% 11 time splitting + geometry splitting 62.2 0.6% 13 3.0 none 3.57 36% 0.14 time splitting 4.77 5.3% 0.24 geometry splitting 4.71 4.9% 2.4 time splitting + geometry splitting 4.58 1.1% 3.2
Table 2. Energy of neutron and secondary gamma at different distances
View tableView in ArticleTable 2. Energy of neutron and secondary gamma at different distances
distance/km neutron energy/MeV gamma energy/MeV 0.1 0.92 1.54 0.3 0.39 1.46 0.5 0.26 1.46 1.0 0.17 1.33 1.5 0.16 1.24 2.0 0.18 1.24 2.5 0.20 1.27 3.0 0.23 1.32
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Li Liu, Yinghong Zuo, Shengli Niu, Jinhui Zhu, Xiazhi Li. Monte Carlo simulation of neutron capture γ-rays from nitrogen in the atmosphere[J]. High Power Laser and Particle Beams, 2022, 34(8): 086002
Paper Information
Category: Nuclear Science and Engineering
Received: Feb. 25, 2022
Accepted: Apr. 28, 2022
Published Online: Aug. 8, 2022
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