A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using DAMPE data
文献类型:期刊论文
| 作者 | Zhao, H; Zhao H(赵浩) ; Peng WX(彭文溪) ; Wang HY(王焕玉) ; Qiao R(乔锐) ; Guo DY(郭东亚) ; Peng, WX ; Wang, HY ; Qiao, R ; Guo, DY
|
| 刊名 | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
![]() |
| 出版日期 | 2018 |
| 卷号 | 18期号:6页码:71 |
| 关键词 | astroparticle physics methods: data analysis cosmic rays |
| ISSN号 | 1674-4527 |
| DOI | 10.1088/1674-4527/18/6/71 |
| 文献子类 | Article |
| 英文摘要 | DArk Matter Particle Explorer (DAMPE) is a general purpose high energy cosmic ray and gamma ray observatory, aiming to detect high energy electrons and gammas in the energy range 5 GeV to 10 TeV and hundreds of TeV for nuclei. This paper provides a method using machine learning to identify electrons and separate them from gammas, protons, helium and heavy nuclei with the DAMPE data acquired from 2016 January 1 to 2017 June 30, in the energy range from 10 to 100 GeV. |
| WOS关键词 | DARK-MATTER |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| CSCD记录号 | CSCD:6259439 |
| WOS记录号 | WOS:000438414500011 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/286103] ![]() |
| 专题 | 高能物理研究所_粒子天体物理中心 高能物理研究所_实验物理中心 |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Zhao, H,Zhao H,Peng WX,et al. A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using DAMPE data[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2018,18(6):71. |
| APA | Zhao, H.,赵浩.,彭文溪.,王焕玉.,乔锐.,...&Wang, ZM.(2018).A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using DAMPE data.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,18(6),71. |
| MLA | Zhao, H,et al."A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using DAMPE data".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 18.6(2018):71. |
入库方式: OAI收割
来源:高能物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


