Study on deuteron formation mechanism in nucleon-induced reactions
文献类型:期刊论文
作者 | He, YJ; Guo, CC; Su, J; Zhu, L; An, ZD |
刊名 | NUCLEAR SCIENCE AND TECHNIQUES
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出版日期 | 2020 |
卷号 | 31期号:8页码:- |
关键词 | CHARGED-PARTICLE-PRODUCTION QUANTUM MOLECULAR-DYNAMICS REACTION CROSS-SECTION INTRANUCLEAR CASCADE CALCULATION HEAVY-ION COLLISIONS 65 MEV INCIDENT H-1(N,GAMMA)H-2 REACTION COLLECTIVE FLOW NEUTRONS ENERGIES |
ISSN号 | 1001-8042 |
DOI | 10.1007/s41365-020-00788-5 |
文献子类 | 期刊论文 |
英文摘要 | The mechanism of deuteron formation in neutron-induced reactions is studied within the framework of the isospin-dependent quantum molecular dynamics model, using the GEMINI code. The influence of the n + p -> d reaction channel is investigated by analyzing the deuteron production cross sections in the neutron-induced reactions C-12(n,d), O-16(n,d), and Si-28(n,d), with incident energies of 20-100 MeV. By including the n thorn p -> d reaction channel when modeling the collision, the deuteron production cross sections increase, optimizing the cross-section results and bringing them closer to the experimental data values. This indicates that the n thorn p -> d reaction channel is an important mechanism for enhancing deuteron production. |
语种 | 英语 |
源URL | [http://ir.sinap.ac.cn/handle/331007/33163] ![]() |
专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
作者单位 | 1.Sun Yat Sen Univ, Sino French Inst Nucl Engn & Technol, Zhuhai 519082, Peoples R China 2.Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China 3.Sun Yat Sen Univ, Sch Phys & Astron, Zhuhai 519082, Peoples R China |
推荐引用方式 GB/T 7714 | He, YJ,Guo, CC,Su, J,et al. Study on deuteron formation mechanism in nucleon-induced reactions[J]. NUCLEAR SCIENCE AND TECHNIQUES,2020,31(8):-. |
APA | He, YJ,Guo, CC,Su, J,Zhu, L,&An, ZD.(2020).Study on deuteron formation mechanism in nucleon-induced reactions.NUCLEAR SCIENCE AND TECHNIQUES,31(8),-. |
MLA | He, YJ,et al."Study on deuteron formation mechanism in nucleon-induced reactions".NUCLEAR SCIENCE AND TECHNIQUES 31.8(2020):-. |
入库方式: OAI收割
来源:上海应用物理研究所
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