An algorithm to resolve {\gamma}-rays from charged cosmic rays with DAMPE
Z. L. Xu, K. K. Duan, Z. Q. Shen, S. J. Lei, T. K. Dong, F. Gargano,, S. Garrappa, D. Y. Guo, W. Jiang, X. Li, Y. F. Liang, M. N. Mazziotta, M. M., Salinas, M. Su, V. Vagelli, Q. Yuan, C. Yue, J. J. Zang, Y. P. Zhang, Y. L., Zhang, S. Zimmer

TL;DR
This paper presents a new method for identifying high-energy gamma rays in DAMPE satellite data, effectively discriminating against charged cosmic rays using Monte Carlo simulations and detector data, enabling better gamma-ray astrophysics studies.
Contribution
The paper introduces a novel gamma-ray identification algorithm for DAMPE that significantly reduces charged cosmic ray contamination using calorimeter and veto detector data.
Findings
Less than 1% contamination from electrons and protons at 10 GeV after selection
Effective identification of known gamma-ray sources in flight data
Preliminary light curves of Geminga pulsar reconstructed
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…
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