Chinese Journal of Lasers, Volume. 44, Issue 1, 104003(2017)

Multi-Scale Inversion Combining TSVD-Tikhonov Regularization for Dynamic Light Scattering

Wang Yajing1、*, Dou Zhi2, Shen Jin1, Liu Wei1, Yin Liju1, and Gao Mingliang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    Figures & Tables(16)
    Operation flow chart of multi-scale space
    Inverse PSD of unimodal distribution particles with particle size in range of 250~550 nm at different noise levels. (a) 0.001; (b) 0.005; (c) 0.01
    Inverse PSD of bimodal distribution particles with particle size in range of 100~600 nm at different noise levels. (a) 0.001; (b) 0.005; (c) 0.01
    Inverse PSD of unimodal wide distribution particles with particle size in range of 300~800 nm using different methods at different noise levels. (a) 0.001; (b) 0.005; (c) 0.01
    Inversion PSD of unimodal narrow distribution particles with particle size in range of 300~800 nm using different methods at different noise levels. (a) 0.001; (b) 0.005; (c) 0.01
    Inversion PSD of bimodal wide distribution particles with particle size in range of 100~900 nm using different methods at different noise levels. (a) 0.001; (b) 0.005; (c) 0.01
    Inversion PSD of bimodal narrow distribution particles with particle size in range of 100~900 nm using different methods at different noise levels. (a) 0.001; (b) 0.005; (b) 0.01
    Inverse PSD of the experiment particles with different diameters using different methods. (a) 300 nm; (b) 100~500 nm
    • Table 1. Inverse data of unimodal distribution particles with particle sizein range of 250~550 nm

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      Table 1. Inverse data of unimodal distribution particles with particle sizein range of 250~550 nm

      Noise levelTikhonovTSVD
      PV /nmPVE /%PSDREPV /nmPVE /%PSDRE
      0.001392.01.380.3899392.01.380.1427
      0.005386.52.770.4604386.52.770.1851
      0.01375.55.530.4756375.55.530.2607
    • Table 2. Inverse data of bimodal distribution particles with particle size in range of 100~600 nm

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      Table 2. Inverse data of bimodal distribution particles with particle size in range of 100~600 nm

      Noise levelTikhonovTSVD
      PV /nmPVE /%PSDREPV /nmPVE /%PSDRE
      0.001152.81, 512.364.97, 3.220.5668152.81, 472.414.97, 4.830.3473
      0.005-,--,-0.7394160.80, 512.360, 3.220.3356
      0.01-,--,-0.7425168.79, 464.444.97, 6.430.3621
    • Table 3. Simulation parameters of different particles

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      Table 3. Simulation parameters of different particles

      ParticalsMin /nmMax /nmu1σ1u2σ2
      UnimodelWide300800-0.22.0--
      Narrow300800-2.52.0--
      BimodelWide100900-2.52.23.82.1
      Narrow100900-5.52.25.52.1
    • Table 4. Inverse data of unimodal wide distribution particles with particle size in range of 300~800 nm at different noise levels

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      Table 4. Inverse data of unimodal wide distribution particles with particle size in range of 300~800 nm at different noise levels

      Method0.0010.0050.01
      PV /nmPVE /%PSDREPV /nmPVE /%PSDREPV /nmPVE /%PSDRE
      Tikhonov500.7510.70.4160500.7510.740.4325475.7615.200.5359
      TSVD525.746.280.2789525.746.280.3308550.721.830.2902
      WRIM500.2810.820.1774505.969.810.2495543.133.190.2647
      TTWRIM532.795.030.1219543.133.180.1374551.921.620.1509
    • Table 5. Inverse data of unimodal narrow distribution particles with particle size in range of 300~800 nm at different noise levels

      View table

      Table 5. Inverse data of unimodal narrow distribution particles with particle size in range of 300~800 nm at different noise levels

      Method0.0010.0050.01
      PV /nmPVE /%PSDREPV /nmPVE /%PSDREPV /nmPVE /%PSDRE
      Tikhonov625.6810.490.8385625.6810.490.8642600.7014.060.8355
      TSVD675.663.340.3446675.663.340.5123675.663.340.4853
      WRIM700.240.170.7835700.320.190.7930654.326.390.7657
      TTWRIM677.323.100.2374676.313.250.2449676.113.280.2743
    • Table 6. Inverse data of bimodal wide distribution particles with particle size in range of 100~900 nm at different noise levels

      View table

      Table 6. Inverse data of bimodal wide distribution particles with particle size in range of 100~900 nm at different noise levels

      Method0.0010.0050.01
      PV /nmPVE /%PSDREPV /nmPVE /%PSDREPV /nmPVE /%PSDRE
      Tikhonov180.91660.677.238.240.5853-,--,-0.6973-,--,-0.7127
      TSVD180.91680.667.235.460.4579180.91660.677.238.240.4267180.91640.687.2311.020.5096
      WRIM161.07739.3917.40 2.690.4312151.66665.4322.23 7.580.5531-,--,-0.6251
      TTWRIM183.86696.915.723.210.2349203.48702.674.342.410.2603216.09712.3910.81 1.060.2487
    • Table 7. Inverse data of bimodal narrow distribution particles with particle size in range of 100~900 nm at different noise levels

      View table

      Table 7. Inverse data of bimodal narrow distribution particles with particle size in range of 100~900 nm at different noise levels

      Method0.0010.0050.01
      PV /nmPVE /%PSDREPV /nmPVE /%PSDREPV /nmPVE /%PSDRE
      Tikhonov160.92780.6110.97 7.620.6708120.94980.5116.60 16.040.7816120.94960.5216.60 13.670.8369
      TSVD140.93800.602.815.260.4965140.93820.592.812.890.4785140.93800.602.815.260.6049
      WRIM125.45797.7513.49 5.590.6177125.84824.6013.22 2.410.6058126.11844.0313.03 0.120.6228
      TTWRIM155.54813.607.263.710.4020146.17817.810.8 3.220.4223147.11839.121.450.700.4160
    • Table 8. Inverse data of the experiment particles with different diameters using different methods

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      Table 8. Inverse data of the experiment particles with different diameters using different methods

      Diameter /mmTikhonovTSVDWRIMTTWRIM
      PV /nmPVE /%PV /nmPVE /%PV /nmPVE /%PV /nmPVE /%
      300255.4214.86291.762.75287.644.12299.450.18
      100~50099.310.6999.310.69102.822.82102.812.81
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    Wang Yajing, Dou Zhi, Shen Jin, Liu Wei, Yin Liju, Gao Mingliang. Multi-Scale Inversion Combining TSVD-Tikhonov Regularization for Dynamic Light Scattering[J]. Chinese Journal of Lasers, 2017, 44(1): 104003

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    Paper Information

    Category: measurement and metrology

    Received: May. 28, 2016

    Accepted: --

    Published Online: Jan. 10, 2017

    The Author Email: Yajing Wang (wangyajing0725@126.com)

    DOI:10.3788/CJL201744.0104003

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