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《中国物理C》(英文)编辑部
2024年10月30日

Baseline drift effect on the performance of neutron and γ ray discrimination using frequency gradient analysis

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LIU Guo-Fu, LUO Xiao-Liang, YANG Jun, LIN Cun-Bao, HU Qing-Qing and PENG Jin-Xian. Baseline drift effect on the performance of neutron and γ ray discrimination using frequency gradient analysis[J]. Chinese Physics C, 2013, 37(6): 066201. doi: 10.1088/1674-1137/37/6/066201
LIU Guo-Fu, LUO Xiao-Liang, YANG Jun, LIN Cun-Bao, HU Qing-Qing and PENG Jin-Xian. Baseline drift effect on the performance of neutron and γ ray discrimination using frequency gradient analysis[J]. Chinese Physics C, 2013, 37(6): 066201.  doi: 10.1088/1674-1137/37/6/066201 shu
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Received: 2012-07-13
Revised: 1900-01-01
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Baseline drift effect on the performance of neutron and γ ray discrimination using frequency gradient analysis

Abstract: Frequency gradient analysis (FGA) effectively discriminates neutrons and γ rays by examining the frequency-domain features of the photomultiplier tube anode signal. This approach is insensitive to noise but is inevitably affected by the baseline drift similar to other pulse shape discrimination methods. The baseline drift effect is attributed to factors such as power line fluctuation, dark current, noise disturbances, hum, and pulse tail in front-end electronics. This effect needs to be elucidated and quantified before the baseline shift can be estimated and removed from the captured signal. Therefore, the effect of baseline shift on the discrimination performance of neutrons and γ rays with organic scintillation detectors using FGA is investigated in this paper. The relationship between the baseline shift and discrimination parameters of FGA is derived and verified by an experimental system consisting of an americium-beryllium source, a BC501A liquid scintillator detector, and a 5 GSample/s 8-bit oscilloscope. The theoretical and experimental results both show that the estimation of the baseline shift is necessary, and the removal of baseline drift from the pulse shapes can improve the discrimination performance of FGA.

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