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 acquired from 2016 January 1 to 2017 June 30, in the energy range from 10 to 100 GeV.
- Publication:
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Research in Astronomy and Astrophysics
- Pub Date:
- June 2018
- DOI:
- 10.1088/1674-4527/18/6/71
- arXiv:
- arXiv:1803.06628
- Bibcode:
- 2018RAA....18...71Z
- Keywords:
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- Astrophysics - Instrumentation and Methods for Astrophysics;
- Physics - Instrumentation and Detectors
- E-Print:
- 11 pages, 8 figures, accepted for publication in RAA. arXiv admin note: text overlap with arXiv:physics/0703039 by other authors