Production of light nuclei and hypernuclei at High Intensity Accelerator Facility energy region
文献类型:期刊论文
| 作者 | Liu, P; Chen, JH; Ma, YG; Zhang, S |
| 刊名 | NUCLEAR SCIENCE AND TECHNIQUES
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| 出版日期 | 2017 |
| 卷号 | 28期号:4页码:- |
| 关键词 | Heavy-ion Collisions Plus Au Collisions Root-s(Nn)=200 Gev Hypertriton Flow Antiprotons Physics Models |
| ISSN号 | 1001-8042 |
| DOI | 10.1007/s41365-017-0207-x |
| 文献子类 | 期刊论文 |
| 英文摘要 | Heavy-ion collisions are powerful tools for studying hypernuclear physics. We develop a dynamical coalescence model coupled with an ART model (version 1.0) to study the production rates of light nuclear clusters and hypernuclei in heavy-ion reactions, for instance, the deuteron (d), triton (t), helium (He-3), and hypertriton (3KH) in minimum bias (0-80% centrality) Li-6+C-12 reactions at beam energy of 3.5A GeV. The penalty factor for light clusters is extracted from the yields, and the distributions of h angle of particles, which provide direct suggesetions about the location of particle detectors in the near future facility-High Intensity heavy-ion Accelerator Facility (HIAF) are investigated. Our calculation demonstrates that HIAF is suitable for studying hypernuclear physics. |
| WOS关键词 | HEAVY-ION COLLISIONS ; PLUS AU COLLISIONS ; ROOT-S(NN)=200 GEV ; HYPERTRITON ; FLOW ; ANTIPROTONS ; PHYSICS ; MODELS |
| 语种 | 英语 |
| WOS记录号 | WOS:000402894400013 |
| 源URL | [http://ir.sinap.ac.cn/handle/331007/28784] ![]() |
| 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 |
| 推荐引用方式 GB/T 7714 | Liu, P,Chen, JH,Ma, YG,et al. Production of light nuclei and hypernuclei at High Intensity Accelerator Facility energy region[J]. NUCLEAR SCIENCE AND TECHNIQUES,2017,28(4):-. |
| APA | Liu, P,Chen, JH,Ma, YG,&Zhang, S.(2017).Production of light nuclei and hypernuclei at High Intensity Accelerator Facility energy region.NUCLEAR SCIENCE AND TECHNIQUES,28(4),-. |
| MLA | Liu, P,et al."Production of light nuclei and hypernuclei at High Intensity Accelerator Facility energy region".NUCLEAR SCIENCE AND TECHNIQUES 28.4(2017):-. |
入库方式: OAI收割
来源:上海应用物理研究所
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