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DmpIRFs and DmpST: DAMPE Instrument Response Functions and Science Tools for Gamma-Ray Data Analysis

Authors :
Duan, Kai-Kai
Jiang, Wei
Liang, Yun-Feng
Shen, Zhao-Qiang
Xu, Zun-Lei
Fan, Yi-Zhong
Gargano, Fabio
Garrappa, Simone
Guo, Dong-Ya
Lei, Shi-Jun
Li, Xiang
Mazziotta, Mario Nicola
Salinas, Maria Fernanda Munoz
Su, Meng
Vagelli, Valerio
Yuan, Qiang
Yue, Chuan
Zimmer, Stephan
Publication Year :
2019

Abstract

GeV gamma ray is an important observation target of DArk Matter Particle Explorer (DAMPE) for indirect dark matter searching and high energy astrophysics. We present in this work a set of accurate instrument response functions of DAMPE (DmpIRFs) including the effective area, point-spread function and energy dispersion that are crucial for the gamma-ray data analysis based on the high statistics simulation data. A dedicated software named DmpST is developed to facilitate the scientific analyses of DAMPE gamma-ray data. Considering the limited number of photons and the angular resolution of DAMPE, the maximum likelihood method is adopted in the DmpST to better disentangle different source components. The basic mathematics and the framework regarding this software are also introduced in this paper.<br />Comment: 12 pages, 9 figures, Accepted by RAA

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1904.13098
Document Type :
Working Paper
Full Text :
https://doi.org/10.1088/1674-4527/19/9/132