Result of proton beam energy calibration of GECAM satellite charged particle detector
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Chaoyue Zhang,
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Xiaohua Liang,
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Yanbing Xu,
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Wenxi Peng,
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Jianjian He,
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Dongya Guo,
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Ke Gong,
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Yaqing Liu,
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Zhenghua An,
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Dali Zhang,
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Sheng Yang,
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Xiaojing Liu,
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Xiangyang Wen,
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Rui Qiao,
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Jinzhou Wang,
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Min Gao,
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Shaolin Xiong,
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Fan Zhang,
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Xinqiao Li,
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Xingzhu Cui,
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Chaoyang Li,
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Jilong Tang,
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Xiaohua Wang,
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Dengkui Wang,
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Zhipeng Wei
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Abstract
Purpose A charged particle detector (CPD) is one of two main detectors on the GECAM satellite. It was designed to detect charged particles. Electrons and protons are space’s mainly charged particles. So, a research on the proton detection ability of a CPD and deriving the energy response to charged particles of the CPD in the two designed operating modes is important.
Method The proton calibration tests of the CPD under different working modes were carried out at the Heavy Ion Research Facility in Lanzhou.
Result and conclusion Through testing and analysis, it was concluded that when CPD works in semi-component mode, it can detect the maximum energy, and when working in full-component mode, it can provide better energy resolution.
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Chaoyue Zhang, Xiaohua Liang, Yanbing Xu, et al. Result of proton beam energy calibration of GECAM satellite charged particle detector[J]. Radiation Detection Technology and Methods, 2022, 6(1): 26-34. DOI: 10.1007/s41605-021-00264-7
Citation:
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Chaoyue Zhang, Xiaohua Liang, Yanbing Xu, et al. Result of proton beam energy calibration of GECAM satellite charged particle detector[J]. Radiation Detection Technology and Methods, 2022, 6(1): 26-34. DOI: 10.1007/s41605-021-00264-7
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Chaoyue Zhang, Xiaohua Liang, Yanbing Xu, et al. Result of proton beam energy calibration of GECAM satellite charged particle detector[J]. Radiation Detection Technology and Methods, 2022, 6(1): 26-34. DOI: 10.1007/s41605-021-00264-7
Citation:
|
Chaoyue Zhang, Xiaohua Liang, Yanbing Xu, et al. Result of proton beam energy calibration of GECAM satellite charged particle detector[J]. Radiation Detection Technology and Methods, 2022, 6(1): 26-34. DOI: 10.1007/s41605-021-00264-7
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