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清华大学学报(自然科学版)  2017, Vol. 57 Issue (5): 521-524    DOI: 10.16511/j.cnki.qhdxxb.2017.22.031
  工程物理 本期目录 | 过刊浏览 | 高级检索 |
高计数率下的实时梯形成形算法
黄宇雁, 宫辉, 李荐民
清华大学 工程物理系, 粒子技术与辐射成像教育部重点实验室, 北京 100084
Real time trapezoidal shaping algorithm at high count rates
HUANG Yuyan, GONG Hui, LI Jianmin
Key Laboratory of Particle and Radiation Imaging of Ministry of Education, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
全文: PDF(1123 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 针对常见的指数型核脉冲信号,研究了高计数率下的梯形成形算法,特别针对计数率增大所带来的堆积问题进行了研究。提出了一种利用反卷积定位信号到达时刻的算法,有效提升了对堆积脉冲的识别能力,降低了堆积效应对能量分辨率的影响。结合上位机中用LabVIEW编写的采集软件,搭建了一套完整可靠的脉冲幅度分析系统,将梯形成形、堆积判别、能谱构建等一系列功能在现场可编程门阵列(FPGA)中实时实现。将该系统实际应用于使用硅漂移探测器的X射线衍射仪上,获得了良好的结果,在1.8×105 cps(每s计数)的条件下,所得能量分辨率达2.46%。
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黄宇雁
宫辉
李荐民
关键词 实时梯形成形高计数率堆积效应X射线衍射仪    
Abstract:A trapezoidal shaping algorithm was developed for common exponential nuclear signals and the pile-up effect at high count rate was studied. Deconvolution was used for time-of-arrival estimates to effectively improve the ability to recognize pile-up pulses and reduce the pile-up effect on the energy resolution. A complete pulse height analyzer was built in LabVIEW to realize real time trapezoidal shaping, pile-up recognition and spectrum construction in the field-programmable gate array (FPGA). Measurements with an X-ray diffractometer with a silicon drift detector (SDD) give a 2.46% energy resolution at a count rate of 1.8×105 cps (counts per second).
Key wordsreal time trapezoidal shaping    high count rate    pile-up effect    X-ray diffractometer
收稿日期: 2016-03-22      出版日期: 2017-05-20
ZTFLH:  TL82  
通讯作者: 宫辉,副教授,E-mail:gonghui02@mails.tsinghua.edu.cn     E-mail: gonghui02@mails.tsinghua.edu.cn
引用本文:   
黄宇雁, 宫辉, 李荐民. 高计数率下的实时梯形成形算法[J]. 清华大学学报(自然科学版), 2017, 57(5): 521-524.
HUANG Yuyan, GONG Hui, LI Jianmin. Real time trapezoidal shaping algorithm at high count rates. Journal of Tsinghua University(Science and Technology), 2017, 57(5): 521-524.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.22.031  或          http://jst.tsinghuajournals.com/CN/Y2017/V57/I5/521
  图1 X射线衍射实验系统结构
  图2 理想梯形脉冲
  图3 堆积识别算法仿真波形
  图4 8.05keV 铜Kα特征X射线能谱
  图5 不同计数率与成形时间下的能量分辨率
  图6 校正前后脉冲输入计数率与输出计数率的关系
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