论文标题
Insight-HXMT的中能X射线望远镜的背景模型
The Background Model of the Medium Energy X-ray telescope of Insight-HXMT
论文作者
论文摘要
中型X射线望远镜(ME)是硬X射线调制望远镜(称为Insight-HXMT)的主要有效载荷之一。 Insight-HXMT/ME的背景主要是由环境带电粒子引起的,背景强度由地磁场以及地理位置显着调节。在相同的地理位置,背景频谱形状稳定,但强度随环境带电颗粒的水平而变化。在本文中,我们开发了一个模型,以基于ME数据库来估计ME背景,该数据库是通过对高银河纬度的两年空白天空观测而建立的。在此模型中,Insight-HXMT涵盖的整个地理区域被分为$ 5^{\ circ} \ times5^{\ circ} $在地理坐标系统中。对于每个网格,可以从背景数据库中获得背景频谱形状,并且强度可以通过盲目FOV检测器的当代计数速率来纠正。因此,可以通过在有效的观察时间内积累Insight-HxMT传递的所有网格的背景来获得背景频谱。带有空白天空观测值的模型测试表明,背景估计的系统误差为$ 8.9-44.0 $ kev为$ \ sim1.3 \%$,用于指向观察值,平均曝光$ \ sim5.5 $ ks。我们还发现,系统误差与暴露是反相关的,这表明系统误差部分由盲目FOV检测器测量的计数率的统计误差造成了贡献。
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 $5^{\circ}\times5^{\circ}$ 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 $\sim1.3\%$ for a pointing observation with an average exposure $\sim5.5$ 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.