A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV

A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using

DAMPE data

Hao Zhao;Wen-Xi Peng;Huan-Yu Wang;Rui Qiao;Dong-Ya Guo;Hong Xiao;Zhao-Min Wang

【期刊名称】《天文和天体物理学研究》 【年(卷),期】2018(018)006

【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 10TeV 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.

【总页数】10页(159-168) 【关键词】

【作者】Hao Zhao;Wen-Xi Peng;Huan-Yu Wang;Rui Qiao;Dong-Ya Guo;Hong Xiao;Zhao-Min Wang

【作者单位】Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China;University of Chinese Academy of Sciences, Beijing 100049, China;Institute of High Energy Physics, Chinese

Academy of Sciences, Beijing 100049, China;Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China;University of Chinese Academy of Sciences, Beijing 100049, China;Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China;Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China;Changzhou Institute of Technology, Changzhou 213032, China;Gran Sasso Science Institute(GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy;Istituto Nazionale di Fisica Nucleare(INFN), Sezione di Lecce, Via per Arnesano, I-73100 Lecce, Italy 【正文语种】英文 【中图分类】 【相关文献】

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