• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 10, 3245 (2021)
Qing-shan WANG*, Dong-yang WANG, Xiong-jie ZHANG*;, Bin TANG*;, and He-xi WU
Author Affiliations
  • Engineering Research Center of Nuclear Technology Application (East China University of Technology), Ministry of Education, Nanchang 330013, China
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    DOI: 10.3964/j.issn.1000-0593(2021)10-3245-06 Cite this Article
    Qing-shan WANG, Dong-yang WANG, Xiong-jie ZHANG, Bin TANG, He-xi WU. Research on a Decomposing Method of Energy Spectrum Overlapping Peaks Based on Gaussian Sharpening Method[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3245 Copy Citation Text show less
    Gauss sharpening operator (A=1, μ=0, m=200)(a): Gaussian sharpening operator with different sharpening factor k (σ=0.5); (b): Gaussian sharpening operator with different standard deviation σ (k=0.043 3)
    Fig. 1. Gauss sharpening operator (A=1, μ=0, m=200)
    (a): Gaussian sharpening operator with different sharpening factor k (σ=0.5); (b): Gaussian sharpening operator with different standard deviation σ (k=0.043 3)
    Overlapping peak model (SNR=60 dB)
    Fig. 2. Overlapping peak model (SNR=60 dB)
    Comparison of two sharpening results of overlapping peaks(a): Traditional sharpening results (k=46); (b): Gaussian sharpening result (A=1.12, k=5, m=5, μ=0, σ=0.5)
    Fig. 3. Comparison of two sharpening results of overlapping peaks
    (a): Traditional sharpening results (k=46); (b): Gaussian sharpening result (A=1.12, k=5, m=5, μ=0, σ=0.5)
    Nonlinear fitting results of overlapping peak by GSM
    Fig. 4. Nonlinear fitting results of overlapping peak by GSM
    Detector model1: NaI; 2: Air; 3: MgO; 4: Al; 5: SiO2
    Fig. 5. Detector model
    1: NaI; 2: Air; 3: MgO; 4: Al; 5: SiO2
    Mixed source simulated γ energy spectrum based on MCNP
    Fig. 6. Mixed source simulated γ energy spectrum based on MCNP
    Decomposition result of simulating γ energy spectrum of mixed source by GSM
    Fig. 7. Decomposition result of simulating γ energy spectrum of mixed source by GSM
    SNR=60 dBSNR=50 dBSNR=40 dBSNR=30 dBSNR=25 dB
    RS=0.5500.025 50.041 50.223 50.319
    RS=0.450.012 50.0230.160.331 50.557
    RS=0.3750.002 50.010.199 50.8161.448
    Table 1. Peak position decomposition result of GSM for standard Gaussian overlapping peak model/%
    SNR=60 dBSNR=50 dBSNR=40 dBSNR=30 dBSNR=25 dB
    RS=0.550.0520.316 50.197 51.5354.188
    RS=0.450.029 50.2041.4433.031 58.299 5
    RS=0.3750.055 850.6154.10118.65625.958
    Table 2. Peak area decomposition result of GSM for standard Gaussian overlapping peak model/%
    全能峰能量
    /keV
    标准峰
    位/ch
    解析峰
    位/ch
    相对误
    差/%
    单峰131I364.489451450.9680.007
    重叠峰Ⅰ214Bi609.32757755.6920.173
    137Cs661.675823826.3050.402
    单峰214Bi1 120.2941 3961 395.1820.059
    重叠峰Ⅱ206Bi1 718.72 1452 144.0050.046
    26Al1 808.652 2582 258.1880.008
    Table 3. Numerical analysis results of simulated γ energy spectrum by GSM
    Qing-shan WANG, Dong-yang WANG, Xiong-jie ZHANG, Bin TANG, He-xi WU. Research on a Decomposing Method of Energy Spectrum Overlapping Peaks Based on Gaussian Sharpening Method[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3245
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