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• W2897527114 abstract "A high-resolution high-throughput real-time adaptive digital pulse processing system is developed for high count rate gamma-ray spectroscopy applications. The adaptive digital pulse processing algorithms are implemented on a reconfigurable FPGA and include a pulse deconvolver, adaptive shaping filter, timing filter, baseline restorer, and pile-up rejecter. Digital pulse deconvolution is implemented to reconstruct the original detector signal from the preamplifier signal, which reduces the resolution deterioration due to pulse pile-up. The deconvoluted signal is shaped with a trapezoid filter and the shaping parameter is selected adaptively based on the time separation between successive input pulses. Experimental measurements are performed with a 137Cs source under varying count-rate conditions and using germanium detectors equipped with resistive feedback and transistor reset preamplifiers (TRP). The results demonstrate that when using a TRP, adaptive digital signal processing allows handling 106 counts/s. In addition, the implementation of a deconvolution approach limits resolution deterioration for throughput rates that are 4 to 10 times better than achievable in typical digital and analog gamma-ray spectroscopy systems." @default.
• W2897527114 created "2018-10-26" @default.
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• W2897527114 date "2020-02-01" @default.
• W2897527114 modified "2023-09-30" @default.
• W2897527114 title "Digital pulse deconvolution with adaptive shaping for real-time high-resolution high-throughput gamma spectroscopy" @default.
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• W2897527114 doi "https://doi.org/10.1016/j.nima.2018.09.123" @default.
• W2897527114 hasPublicationYear "2020" @default.
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