Multi-channel analyzer based on a novel pulse fitting analysis method

被引:2
|
作者
Wang, Qingshan [1 ]
Zhang, Xiongjie [1 ,2 ]
Meng, Xiangting [1 ]
Wang, Bao [1 ]
Wang, Dongyang [1 ]
Zhou, Pengfei [1 ]
Wang, Renbo [1 ,2 ]
Tang, Bin [1 ,2 ]
机构
[1] East China Univ Technol, Minist Educ, Engn Res Ctr Nucl Technol Applicat, Nanchang 330013, Jiangxi, Peoples R China
[2] State Key Lab Nucl Resources & Environm, Nanchang 330013, Jiangxi, Peoples R China
关键词
Pulse fitting analysis; Embedded MCA; Zynq SoC; Energy spectrometer; GENERATION;
D O I
10.1016/j.net.2021.12.019
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
A novel pulse fitting analysis (PFA) method is presented for the acquisition of nuclear spectra. The charging process of the feedback capacitor in the resistive feedback charge-sensitive preamplifier is equivalent to the impulsive pulse, and its impulse response function (IRF) can be obtained by non-linear fitting of the falling edge of the nuclear pulse. The integral of the IRF excluding the baseline represents the energy deposition of the particles in the detector. In addition, since the non-linear fitting process in PFA method is difficult to achieve in the conventional architecture of spectroscopy system, a new multichannel analyzer (MCA) based on Zynq SoC is proposed, which transmits all the data of nuclear pulses from the programmable logic (PL) to the processing system (PS) by high-speed AXI-Stream in order to implement PFA method with precision. The linearity of new MCA has been tested. The spectrum of Cs-137 was obtained using LaBr3(Ce) scintillator detector, and was compared with commercial MCA by ORTEC. The results of tests indicate that the MCA based on PFA method has the same performance as the commercial MCA based on pulse height analysis (PHA) method and excellent linearity for g-rays with different energies, which infers that PFA method is an effective and promising method for the acquisition of spectra. Furthermore, it provides a new solution for nuclear pulse processing algorithms involving regression and iterative processes. (C) 2021 Korean Nuclear Society, Published by Elsevier Korea LLC.
引用
收藏
页码:2023 / 2030
页数:8
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