A new method of charged particle identification based on frequency spectrum analysis

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Jin-Tao Zhu, Guo-Fu Liu, Jun Yang, Xiao-Liang Luo, Lei Zhang and Li-Feng Ji. A new method of charged particle identification based on frequency spectrum analysis[J]. Chinese Physics C, 2016, 40(3): 036202. doi: 10.1088/1674-1137/40/3/036202
Jin-Tao Zhu, Guo-Fu Liu, Jun Yang, Xiao-Liang Luo, Lei Zhang and Li-Feng Ji. A new method of charged particle identification based on frequency spectrum analysis[J]. Chinese Physics C, 2016, 40(3): 036202.  doi: 10.1088/1674-1137/40/3/036202 shu
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Received: 2015-05-06
Revised: 2015-08-29
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    Supported by National Natural Science Foundation of China (11175254, 11375264)

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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A new method of charged particle identification based on frequency spectrum analysis

    Corresponding author: Guo-Fu Liu,
  • 1. College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China
Fund Project:  Supported by National Natural Science Foundation of China (11175254, 11375264)

Abstract: A new frequency domain method for charged particle identification, called Frequency Ratio Analysis (FRA), is proposed by analyzing the frequency spectra of proton pulses and alpha pulses acquired from a totally depleted Si detector. Identification performance of the FRA method is evaluated and compared with two time domain methods, the current pulse amplitude method and the second moment method. The results show that the FRA method is not only feasible and effective but also superior to the two time domain methods, as it achieves an obvious increase in value of the figure-of-merit (FOM).

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