论文标题

Insight-HXMT高能望远镜的背景模型

Background Model for the High-Energy Telescope of Insight-HXMT

论文作者

Liao, Jin-Yuan, Zhang, Shu, Lu, Xue-Feng, Zhang, Juan, Li, Gang, Chang, Zhi, Chen, Yu-Peng, Ge, Ming-Yu, Guo, Cheng-Cheng, Huang, Rui, Jin, Jing, Li, Xiao-Bo, Li, Xu-Fang, Li, Zheng-Wei, Liu, Cong-Zhan, Lu, Fang-Jun, Nie, Jian-Yin, Song, Li-Ming, Wang, Si-Fan, You, Yuan, Zhang, Yi-Fei, Zhao, Hai-Sheng, Zhang, Shuang-Nan

论文摘要

准确的背景估计对于天体物理学的光谱和时间分析至关重要。在这项工作中,我们为硬X射线调制望远镜(称为Insight-HXMT)的高能望远镜(HE)构建了轨内背景模型。基于Insight-HXMT/HE的两年空白天空观测,我们首先研究了背景的基本特性,并发现背景光谱形状和强度在不同地理位置上都具有长期的演化。然后将整个地球地球分为小网格,每个网格在地理坐标系统中的典型面积为5x5平方。对于每个网格,使用经验函数来描述背景频谱的每个通道的长期演变。背景的强度可以是可变的,并且通过测量盲探测器的当代通量来引入修改因子以解释这种变异性。对于给定的指向观察,背景模型是通过在每个轨道中卫星传递的网格上集成的。通过空白的天空观察和活动,以观察一系列天体来源,对这种背景模型进行了测试。结果显示,在典型的8 ks暴露下,背景能谱(26-100 KEV)的平均系统误差为1.5%,背景光曲线估计(30-150 KEV)<3%。因此,本文中引入的背景模型包含在Insight-HXMT软件中,作为专门用于光谱和时间分析的标准零件。

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 <3% for background light curve estimation (30-150 keV). Therefore, the background model introduced in this paper is included in the Insight-HXMT software as a standard part specialized for both spectral and temporal analyses.

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