Infrared and Laser Engineering, Volume. 51, Issue 1, 20210976(2022)

A characterization method of thin film parameters based on adaptive differential evolution algorithm (Invited)

Yuqing Guan1...2, Yunxia Fu1,2, Wenzhe Zou1,2, Zhangning Xie3, and Lihua Lei12,* |Show fewer author(s)
Author Affiliations
  • 1Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
  • 2Shanghai Key Laboratory of Online Test and Control Technology, Shanghai 2012032, China
  • 3School of Physical Science and Engineering, Tongji University, Shanghai 200082, China
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    Figures & Tables(18)
    Optical path diagram of system construction
    Flow chart of adaptive differential evolution algorithm
    Iterative curve of 104.2 nm SiO2/Si standard sample
    Iterative curve of 398.4 nm SiO2/Si standard sample
    Mueller spectrum of 104.2 nm SiO2/Si film thick sample
    Mueller spectrum of 398.4 nm SiO2/Si film thick sample
    Index of refractive and extinction coefficient of 104.2 nm standard sample
    Index of refractive and extinction coefficient of 398.4 nm standard sample
    Iterative curve of 104.2 nm SiO2/Si standard sample
    Iterative curve of 398.4 nm SiO2/Si standard sample
    Measurement of ellipsometry parameters of 104.2 nm SiO2/Si standard sample
    Measurement of ellipsometry parameters of 398.4 nm SiO2/Si standard sample
    • Table 1. System component parameter values

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      Table 1. System component parameter values

      ElementParameterCalibration value/(º)
      Polarizer POrientation AS45
      Waveplate C1Initial orientation c10
      Waveplate C1Retardation Δ190
      Waveplate C2Initial orientation c20
      Waveplate C2Retardation Δ290
      Analyzer AOrientation PS−45
    • Table 2. MSE of 104.2 nm sample

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      Table 2. MSE of 104.2 nm sample

      Mueller elementFitting error
      m120.386
      m210.386
      m330.258
      m340.232
      m430.374
      m440.392
    • Table 3. MSE of 398.4 nm sample

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      Table 3. MSE of 398.4 nm sample

      Mueller elementFitting error
      m120.412
      m210.412
      m330.365
      m340.409
      m430.384
      m440.422
    • Table 4. Calculated value of sample thickness

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      Table 4. Calculated value of sample thickness

      Film thickness/nmCalculated film thickness/nmRelative error
      104.2±0.4103.8±0.60.38%
      398.4±0.4397.8±0.60.15%
    • Table 5. Comparison of experimental results

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      Table 5. Comparison of experimental results

      Film thickness /nm AlgorithmNumber of iterationsIteration time/sCalculated film thickness/nmRelative error
      104.2SADE681.22103.8±0.60.38%
      LM541.13104.6±0.60.78%
      398.4SADE821.47397.8±0.60.15%
      LM561.21401.1±0.60.82%
    • Table 6. Calculated value of sample thickness

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      Table 6. Calculated value of sample thickness

      Film thickness/nmCalculated film thickness/nmRelative error
      104.2±0.4104.1±0.60.09%
      398.4±0.4398.2±0.60.05%
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    Yuqing Guan, Yunxia Fu, Wenzhe Zou, Zhangning Xie, Lihua Lei. A characterization method of thin film parameters based on adaptive differential evolution algorithm (Invited)[J]. Infrared and Laser Engineering, 2022, 51(1): 20210976

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    Paper Information

    Category: Photoelectric measurement

    Received: Dec. 17, 2021

    Accepted: --

    Published Online: Mar. 8, 2022

    The Author Email: Lei Lihua (leilh@simt.com.cn)

    DOI:10.3788/IRLA20210976

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