Numerical simulation method and application study on deuteron ion and fusion neutron coupling transportation

Qiu Youheng; Li Baiwen

doi:10.11884/HPLPB201830.170249

Volume 30 Issue 3

Mar. 2018

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Qiu Youheng, Li Baiwen. Numerical simulation method and application study on deuteron ion and fusion neutron coupling transportation[J]. High Power Laser and Particle Beams, 2018, 30: 036003. doi: 10.11884/HPLPB201830.170249

Citation:

Qiu Youheng, Li Baiwen. Numerical simulation method and application study on deuteron ion and fusion neutron coupling transportation[J]. High Power Laser and Particle Beams, 2018, 30: 036003. doi: 10.11884/HPLPB201830.170249

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Numerical simulation method and application study on deuteron ion and fusion neutron coupling transportation

doi: 10.11884/HPLPB201830.170249

Institute of Applied Physics and Computational Mathematics, Beijing 10094, China

Received Date: 2017-06-21
Rev Recd Date: 2017-10-21
Publish Date: 2018-03-15

Abstract

Abstract

Deuteron ion transportation, fusion reaction sampling and neutron transportation simulation are included in the numerical calculation of accelerator driven neutron generator. As well known, the nuclear reaction cross section is much smaller than Coulomb cross section of charged particle transportation, and the mean free path of nuclear reaction is far longer than the depth of target, compared to deuteron ion transportation, the direct sampling efficiency of fusion reaction is almost zero. In this paper, a "forced" fusion arithmetic is introduced and embedded into MCNPX program. By the "forced" fusion arithmetic, fusion reaction must happen for every source deuteron ion. The position, energy and flight direction of deuteron ion that interact with tritium are sampled from all energy steps. The position, energy and flight direction of fusion source neutron are sampled according to that of deuteron ion. The deuteron ion and neutron coupling transportation can be calculated with the revised MCNPX.
- neutron generator,
- yield,
- energy spectrum,
- angular distribution,
- stochastic simulation

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References(10)

References

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