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GRID任务中GRID探测器角响应的蒙特卡罗模拟

Monte Carlo Simulation of Angular Response of GRID Detectors for GRID Mission

Qize Liu, Xiaofan Pan, Xutao Zheng, Huaizhong Gao, Longhao Li, Qidong Wang, Zirui Yang, Chenchong Tang, Wenxuan Wu, Jianping Cheng, Zhi Zeng, Ming Zeng, Hua Fen… 展开作者

Qize Liu, Xiaofan Pan, Xutao Zheng, Huaizhong Gao, Longhao Li, Qidong Wang, Zirui Yang, Chenchong Tang, Wenxuan Wu, Jianping Cheng, Zhi Zeng, Ming Zeng, Hua Feng, Binbin Zhang, Zhonghai Wang, Rong Zhou, Yuanyuan Liu, Lin Lin, Jiayong Zhong, Jianyong Jiang, Wentao Han, Yang Tian, Benda Xu, GRID Collaboration

AI总结:

本文为GRID任务开发了专门的Monte Carlo模拟框架,通过模拟探测器及其搭载的NanoSat获取不同入射角和能量光子的角响应,经地面校准验证后成功应用于GRB数据分析。

摘要:

Gamma-Ray Integrated Detectors (GRID)(伽马射线集成探测器)是一项空间科学任务,采用搭载于低地球轨道(LEO)NanoSats上的紧凑型伽马射线探测器来监测瞬变伽马射线天空。由于伽马射线暴(GRBs)发生的时间和位置不可预测,获取伽马射线探测器在不同入射角下的光子响应对GRID探测器捕获的GRB数据的科学分析至关重要。为此,为GRID探测器开发了专门的Monte Carlo(蒙特卡罗)模拟框架。通过模拟每个GRID探测器及其搭载的NanoSat,可在该框架内获得每个探测器对不同入射角和能量光子的能谱响应、探测效率及其他角响应。这些模拟的准确性已通过地面校准得到证实,所导出的角响应已成功应用于记录的GRBs数据分析。

英文摘要:

The Gamma-Ray Integrated Detectors (GRID) are a space science mission that employs compact gamma-ray detectors mounted on NanoSats in low Earth orbit (LEO) to monitor the transient gamma-ray sky. Owing to the unpredictability of the time and location of gamma-ray bursts (GRBs), obtaining the photon responses of gamma-ray detectors at various incident angles is important for the scientific analysis of GRB data captured by GRID detectors. For this purpose, a dedicated Monte Carlo simulation framework has been developed for GRID detectors. By simulating each GRID detector and the NanoSat carrying it, the spectral energy response, detection efficiency, and other angular responses of each detector for photons with different incident angles and energies can be obtained within this framework. The accuracy of these simulations has been corroborated through on-ground calibration, and the derived angular responses have been successfully applied to the data analysis of recorded GRBs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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