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%。
A trapezoidal shaping algorithm was developed for common exponential nuclear signals and the pile-up effect at high count rate was studied. Deeonvolution 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 diffraetometer with a silicon drift detector （SDD） give a 2.46% energy resolution at a count rate of 1.8 ×10^5 cps （counts per second）.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第5期521-524,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家自然科学基金资助项目(11475094)
关键词
实时梯形成形
高计数率
堆积效应
X射线衍射仪
real time trapezoidal shaping
high count rate
pile-up effect
X-ray diffractometer
