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作 者:符潇天 龚轲[2] 李新乔[2] 文向阳 孙希磊[2] 刘建昆 FU Xiaotian;GONG Ke;LI Xinqiao;WEN Xiangyang;SUN Xilei;LIU Jiankun(North China University of Technology,Beijing 100144,China;Institute of High Energy Physics of Chinese Academy of Scineces,Beijing 100039,China)
机构地区:[1]北方工业大学,北京100144 [2]中国科学院高能物理研究所,北京100039
出 处:《核电子学与探测技术》2023年第3期634-641,共8页Nuclear Electronics & Detection Technology
基 金:国家自然科学基金项目(11903037)赞助。
摘 要:设计了一种基于波形分辨算法的氡探测器数据采集系统,使用了一种新型液体闪烁体探测器作为氡传感器,设计实现了性能优良的小型低功耗硬件平台,并在硬件平台上实现了波形分辨与级联衰变识别算法。使用232Th扩散源产生的220Rn气体对数据采集系统进行了测试,并确定了波形分辨算法与级联衰变提取算法的最佳参数,测试结果显示,数据采集系统可以有效实现氡事例的挑选。设计实现的小型化低功耗数据采集系统,有效发挥了新型液体闪烁体探测器的优势,在氡探测领域具有较好的应用前景。A radon detector data acquisition system based on waveform resolution algorithm was designsed,by using a new liquid scintillator detector as the radon sensor,a small low-power hardware platform with excellent performance was designsed and implementsed,and waveform resolution and cascade decay recognition algorithms on the hardware platform was implementsed.~(220)Rn gas generated by~(232)Th diffusion source is used to test the data acquisition system,and the optimal parameters of waveform resolution algorithm and cascade decay extraction algorithm are determined.The test results show that the data acquisition system can effectively select radon cases.The miniaturized low-power data acquisition system designed and implemented in this paper has effectively played the advantages of the new liquid scintillator detector,and has a good application prospect in the radon detection field.
分 类 号:TL82[核科学技术—核技术及应用]
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