Performance of linear classification algorithms on α/γ discrimination for LaBr3:Ce scintillation detectors with various pulse digitizer properties Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.1088/1748-0221/15/02/p02004
· OA: W3003248595
With the development of high-speed readout electronics, the digital pulse\nshape discrimination (PSD) methods have attracted the attention of more\nresearchers, especially in the field of high energy physics and neutron\ndetection. How to choose a PSD algorithm and corresponding data acquisition\nsystem (DAQ) naturally becomes a critical problem to settle down for the\ndetection system designers. In this paper, the relationship between the\nclassification performance of different PSD algorithms and digitizers' sampling\nproperties (including sampling rate and the effective number of bits) has been\nresearched based on $\\mathrm{LaBr_3}$:Ce scintillation detectors. A\nself-developed integrated digitizer configured with five different ADCs and a\nWavePro 404HD oscilloscope were deployed to digitize the waveforms from\n$\\mathrm{LaBr_3}$:Ce scintillators. Moreover, three PSD methods, charge\ncomparison method (CCM), least square for classification method (LS) and\nFisher's linear discriminant analysis (LDA), based on linear model were applied\nto discriminate the alpha signals from the intrinsic isotope $^{227}$Ac. With\nthe LS method and a 125 MSPS 14-Bit ADC, the FoM value was 1.424$\\pm$0.042,\nwhich is similar to the result from LDA but 31\\% better than the result of CCM.\nThe discrimination results showed that the performances of LS and LDA are less\naffected by the sampling rate with respect to the CCM method, which reflects in\na better PSD capability. The results of this paper can help the developers of\ndetector systems to make a trade-off among sampling properties, desirable\ndiscrimination results and the cost of systems.\n
