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Astrophysics > Instrumentation and Methods for Astrophysics

Title: 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.
Comments: 11 pages, 8 figures, accepted for publication in RAA
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Instrumentation and Detectors (physics.ins-det)
Cite as: arXiv:1803.06628 [astro-ph.IM]
  (or arXiv:1803.06628v1 [astro-ph.IM] for this version)

Submission history

From: Hao Zhao [view email]
[v1] Sun, 18 Mar 2018 09:07:47 GMT (167kb)