English

An algorithm to resolve {\gamma}-rays from charged cosmic rays with DAMPE

Instrumentation and Detectors 2018-04-04 v1 High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics High Energy Physics - Experiment

Abstract

The DArk Matter Particle Explorer (DAMPE), also known as Wukong in China, launched on December 17, 2015, is a new high energy cosmic ray and {\gamma}-ray satellite-borne observatory in space. One of the main scientific goals of DAMPE is to observe GeV-TeV high energy {\gamma}-rays with accurate energy, angular, and time resolution, to indirectly search for dark matter particles and for the study of high energy astrophysics. Due to the comparatively higher fluxes of charged cosmic rays with respect to {\gamma}-rays, it is challenging to identify {\gamma}-rays with sufficiently high efficiency minimizing the amount of charged cosmic ray contamination. In this work we present a method to identify {\gamma}-rays in DAMPE data based on Monte Carlo simulations, using the powerful electromagnetic/hadronic shower discrimination provided by the calorimeter and the veto detection of charged particles provided by the plastic scintillation detector. Monte Carlo simulations show that after this selection the number of electrons and protons that contaminate the selected {\gamma}-ray events at 10\sim10 GeV amounts to less than 1% of the selected sample. Finally, we use flight data to verify the effectiveness of the method by highlighting known {\gamma}-ray sources in the sky and by reconstructing preliminary light curves of the Geminga pulsar.

Keywords

Cite

@article{arxiv.1712.02939,
  title  = {An algorithm to resolve {\gamma}-rays from charged cosmic rays with DAMPE},
  author = {Z. L. Xu and K. K. Duan and Z. Q. Shen and S. J. Lei and T. K. Dong and F. Gargano and S. Garrappa and D. Y. Guo and W. Jiang and X. Li and Y. F. Liang and M. N. Mazziotta and M. M. Salinas and M. Su and V. Vagelli and Q. Yuan and C. Yue and J. J. Zang and Y. P. Zhang and Y. L. Zhang and S. Zimmer},
  journal= {arXiv preprint arXiv:1712.02939},
  year   = {2018}
}

Comments

15 pages,16 figures

R2 v1 2026-06-22T23:11:57.789Z