Vol 18, No 6

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


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.


Keywords astroparticle physics — methods: data analysis — cosmic rays

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