Four FPGA-based α/γ pulse shape discrimination algorithms for Ba F2 detector are investigated and compared in this paper. A 2-GSPS fast waveform sampling board based on DRS4 chip is employed to sample the pulses. Th...Four FPGA-based α/γ pulse shape discrimination algorithms for Ba F2 detector are investigated and compared in this paper. A 2-GSPS fast waveform sampling board based on DRS4 chip is employed to sample the pulses. The test results with a22 Na γ-source and the natural radioactivity of Ba F2 show good discrimination performance of the algorithms, with false rates around 1%. Small logical resource occupancy and short dead time are achieved. About 4400 slices are used in FPGA for pulse sampling and real-time discrimination altogether.展开更多
基金supported by the National Natural Science Foundation of China(No.11205154)
文摘Four FPGA-based α/γ pulse shape discrimination algorithms for Ba F2 detector are investigated and compared in this paper. A 2-GSPS fast waveform sampling board based on DRS4 chip is employed to sample the pulses. The test results with a22 Na γ-source and the natural radioactivity of Ba F2 show good discrimination performance of the algorithms, with false rates around 1%. Small logical resource occupancy and short dead time are achieved. About 4400 slices are used in FPGA for pulse sampling and real-time discrimination altogether.
