The background model of the medium energy X-ray telescope of Insight-HXMT

The background model of the medium energy X-ray telescope of Insight-HXMT
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Insight-HXMT中能X射线望远镜背景模型

DOI:
10.1016/j.jheap.2020.02.008
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发表时间:
2020-03
影响因子:
3.8
通讯作者:
et al.
et al.
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Guo Cheng-Cheng;Liao Jin-Yuan;Zhang Shu;et al.

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摘要中能X射线望远镜(ME)是硬X射线调制望远镜(Insight-HXMT)的主要载荷之一。Insight-HXMT/ME的本底主要由环境带电粒子引起,本底强度受地磁场和地理位置的显著调制。在同一地理位置,背景光谱形状稳定,但强度随环境带电粒子水平的不同而不同。本文利用银河高纬度连续两年的空天观测资料,建立了一个估计ME本底的模型。在该模型中,Insight-HXMT覆盖的整个地理区域在地理坐标系中被划分为5°×5°的网格。对于每个网格,背景光谱形状可以从背景数据库中获得,强度可以通过盲视场检测器的同时计数率进行校正。因此,背景谱可以通过累加Insight-HXMT在有效观测时间内通过的所有网格的背景来获得。空白天空观测的模型检验表明,对于平均曝光−为5.5k的定点观测,8.9keV~44.0keV本底估计的系统误差为∼1.3%。我们还发现系统误差与曝光量呈反相关,这表明系统误差部分是由盲视场探测器测量的计数率的统计误差造成的。
Abstract The Medium Energy X-ray Telescope (ME) is one of the main payloads of the Hard X-ray Modulation Telescope (dubbed as Insight-HXMT). The background of Insight-HXMT/ME is mainly caused by the environmental charged particles and the background intensity is modulated remarkably by the geomagnetic field, as well as the geographical location. At the same geographical location, the background spectral shape is stable but the intensity varies with the level of the environmental charged particles. In this paper, we develop a model to estimate the ME background based on the ME database that is established with the two-year blank sky observations of the high Galactic latitude. In this model, the entire geographical area covered by Insight-HXMT is divided into grids of 5°× 5° in geographical coordinate system. For each grid, the background spectral shape can be obtained from the background database and the intensity can be corrected by the contemporary count rate of the blind FOV detectors. Thus the background spectrum can be obtained by accumulating the background of all the grids passed by Insight-HXMT during the effective observational time. The model test with the blank sky observations shows that the systematic error of the background estimation in 8.9− 44.0 keV is∼ 1.3% for a pointing observation with an average exposure∼ 5.5 ks. We also find that the systematic error is anti-correlated with the exposure, which indicates the systematic error is partly contributed by the statistical error of count rate measured by the blind FOV detectors.
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