Abstract
Four FPGA-based α/γ pulse shape discrimination algorithms for BaF2 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 a 22Na γ-source and the natural radioactivity of BaF2 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.
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