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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%。
Aiming at the common exponential nuclear pulse signals, the algorithm of trapezoid forming with high counting rate is studied, especially the stacking problem caused by the increase of counting rate. An algorithm of using deconvolution to locate the arrival time of signal is proposed, which effectively enhances the recognition of stacked pulses and reduces the influence of stacking on energy resolution. A set of complete and reliable pulse amplitude analysis system was set up based on the acquisition software written by LabVIEW in the host computer. A series of functions such as trapezoidal shape, accumulation determination and spectrum construction were realized in real time in the field programmable gate array (FPGA). The practical application of this system on an X-ray diffractometer using a silicon drift detector yielded good results with an energy resolution of 2.46% at 1.8 x 105 cps (counts per s).