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arXiv · 1803.06628

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
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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 from 2016 January 1 to 2017 June 30, in energy range from 10 to 100 GeV.

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Hao Zhao, Wen-Xi Peng, Huan-Yu Wang, Rui Qiao, Dong-Ya Guo, Hong Xiao, Zhao-Min Wang. 2018-03-18. A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using DAMPE data. https://arxiv.org/abs/1803.06628

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