A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using DAMPE data | |
Zhao H(赵浩)![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | |
2018 | |
Source Publication | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
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ISSN | 1674-4527 |
Volume | 18Issue:6Pages:71 |
Subtype | Article |
Abstract | 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. |
Keyword | astroparticle physics methods: data analysis cosmic rays |
DOI | 10.1088/1674-4527/18/6/71 |
WOS Keyword | DARK-MATTER |
Indexed By | SCI |
Language | 英语 |
WOS Research Area | Astronomy & Astrophysics |
WOS Subject | Astronomy & Astrophysics |
WOS ID | WOS:000438414500011 |
CSCD ID | CSCD:6259439 |
ADS Bibcode | 2018RAA....18...71Z |
AXRIV CODE | 1803 |
inspireid | 1663101 |
Citation statistics |
Cited Times:3 [ADS]
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Document Type | 期刊论文 |
Identifier | http://ir.ihep.ac.cn/handle/311005/286103 |
Collection | 粒子天体物理中心 实验物理中心 |
Affiliation | 中国科学院高能物理研究所 |
First Author Affilication | Institute of High Energy |
Recommended Citation GB/T 7714 | Zhao H,Peng WX,Wang HY,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 | 赵浩.,彭文溪.,王焕玉.,乔锐.,郭东亚.,...&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 | 赵浩,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. |
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