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Background model for the high-energy telescope of Insight-HXMT

Authors :
Jin-Yuan Liao
Shu Zhang
Xue-Feng Lu
Juan Zhang
Gang Li
Zhi Chang
Yu-Peng Chen
Ming-Yu Ge
Cheng-Cheng Guo
Rui Huang
Jing Jin
Xiao-Bo Li
Xu-Fang Li
Zheng-Wei Li
Cong-Zhan Liu
Fang-Jun Lu
Jian-Yin Nie
Li-Ming Song
Si-Fan Wang
Yuan You
Yi-Fei Zhang
Hai-Sheng Zhao
Shuang-Nan Zhang
Source :
Journal of High Energy Astrophysics. 27:14-23
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Accurate background estimation is essential for spectral and temporal analysis in astrophysics. In this work, we construct the in-orbit background model for the High-Energy Telescope (HE) of the Hard X-ray Modulation Telescope (dubbed as Insight-HXMT). Based on the two-year blank sky observations of Insight-HXMT/HE, we first investigate the basic properties of the background and find that both the background spectral shape and intensity have long-term evolution at different geographical sites. The entire earth globe is then divided into small grids, each with a typical area of 5x5 square degrees in geographical coordinate system. For each grid, an empirical function is used to describe the long-term evolution of each channel of the background spectrum; the intensity of the background can be variable and a modification factor is introduced to account for this variability by measuring the contemporary flux of the blind detector. For a given pointing observation, the background model is accomplished by integrating over the grids that are passed by the track of the satellite in each orbit. Such a background model is tested with both the blank sky observations and campaigns for observations of a series of celestial sources. The results show an average systematic error of 1.5% for the background energy spectrum (26-100 keV) under a typical exposure of 8 ks, and<br />27 pages, 16 figures, accepted by Journal of High Energy Astrophysics

Details

ISSN :
22144048
Volume :
27
Database :
OpenAIRE
Journal :
Journal of High Energy Astrophysics
Accession number :
edsair.doi.dedup.....abbd456944a7e68aec0bd065a2867755