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arXiv 2401.13619astro-ph.IMastro-ph.HE
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SVOM/ECLAIRs 在 8 keV 以下探测平面不均匀性及其对触发性能缓解的研究

Study of SVOM/ECLAIRs inhomogeneities in the detection plane below 8 keV and their mitigation for the trigger performances

Wenjin Xie, Bertrand Cordier, Nicolas Dagoneau, Stéphane Schanne, Jean-Luc Atteia, Laurent Bouchet, Olivier Godet

AI总结:

针对 SVOM/ECLAIRs 在 4–8 keV 的像素效率、阈值不均及热管噪声,研究利用校准数据与触发仿真提出像素剔除、阴影图效率校正和噪声像素屏蔽方案。

摘要:

Space-based multi-band astronomical Variable Objects Monitor(SVOM,空间多波段天文变源监测器)是一项中法合作任务,致力于研究瞬变天空,按计划于 2024 年开始运行。ECLAIRs 是一台具有大视场的编码掩模望远镜,设计用于在 4 keV 至 120 keV 的能量范围内探测和定位伽马射线暴(GRB)。2021 年,ECLAIRs 望远镜在真空测试舱中进行了多次校准活动,以评估其性能。在 4 至 8 keV 之间,探测平面的计数响应显示出不同生产批次像素之间的不均匀性。效率不均匀性由两个批次之一中的低效率像素(LEP)以及高阈值像素(HTP)引起,其中高阈值像素的阈值被提高以避免串扰效应。此外,在靠近热管的探测平面区域发现了一些意外噪声。我们研究了这些不均匀性以及低能段热管噪声对 ECLAIRs 星上触发的影响。我们提出了不同策略,以缓解这些影响并改进星上触发性能。我们分析了校准活动的数据,并使用 ECLAIRs 触发软件的地面模型进行了仿真,以设计和评估这些不同策略。通过将 HTP 从触发处理中排除,可以校正 HTP 的大部分影响。为校正 LEP 的影响,在阴影图中进行效率校正似乎是一个良好的解决方案。针对热管噪声的有效解决方案是选择噪声像素,并在 4–8 keV 能段的数据分析期间忽略其数据。

英文摘要:

The Space-based multi-band astronomical Variable Objects Monitor (SVOM) is a Chinese-French mission dedicated to the study of the transient sky. It is scheduled to start operations in 2024. ECLAIRs is a coded-mask telescope with a large field of view. It is designed to detect and localize gamma-ray bursts (GRBs) in the energy range from 4 keV up to 120 keV. In 2021, the ECLAIRs telescope underwent various calibration campaigns in vacuum test-chambers to evaluate its performance. Between 4 and 8 keV, the counting response of the detection plane shows inhomogeneities between pixels from different production batches. The efficiency inhomogeneity is caused by low-efficiency pixels (LEPs) from one of the two batches, together with high-threshold pixels (HTPs) whose threshold was raised to avoid cross-talk effects. In addition, some unexpected noise was found in the detection plane regions close to the heat pipes. We study the impact of these inhomogeneities and of the heat-pipe noise at low energies on the ECLAIRs onboard triggers. We propose different strategies in order to mitigate these impacts and to improve the onboard trigger performance. We analyzed the data from the calibration campaigns and performed simulations with the ground model of the ECLAIRs trigger software in order to design and evaluate the different strategies. Most of the impact of HTPs can be corrected for by excluding HTPs from the trigger processing. To correct for the impact of LEPs, an efficiency correction in the shadowgram seems to be a good solution. An effective solution for the heat-pipe noise is selecting the noisy pixels and ignoring their data in the 4--8 keV band during the data analysis.

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