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

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.

11 pages, 8 figures, accepted for publication in RAA. arXiv admin note: text overlap with arXiv:physics/0703039 by other authors