Journal of Applied Optics, Volume. 46, Issue 4, 859(2025)

Microsecond ultra-high speed ellipsometry measurement technology based on differential evolutionary algorithm

Saifei WANG1,2, Rui ZHANG2,3、*, Peng XUE2,4, Chengyu XU2,3, and Zhibin WANG1,2
Author Affiliations
  • 1School of Instrument and Electronics, North University of China, Taiyuan 030051, China
  • 2Technology Innovation Center of Shanxi Provincial for Intelligent Microwave Photoelectric, North University of China, Taiyuan 030051, China
  • 3School of Information and Communication Engineering, North University of China, Taiyuan 030051, China
  • 4School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
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    Aiming at the problems of low time resolution and poor stability of traditional mechanical rotary compensator ellipsometry, a system model for solving Muller matrix based on differential evolution algorithm was proposed. On this basis, the microsecond-level measurement of full Mueller matrix was achieved by combining ultra-high speed photoelastic modulation. Firstly, by studying the working mode of the double driven photoelastic modulator (PEM), it was proved that in the pure traveling wave mode, fast and periodic rotation in the fast axis direction could be achieved. Then, the PEMs with driving frequencies of 60 kHz and 100 kHz were designed and fabricated, and a ultra-high speed ellipsometry model based on dual driving PEM was constructed. The light intensity was fitted through differential evolution algorithm, and a system model for solving Muller matrix was established. The optical period was found to be in microseconds, and the mean square error of fitting all elements of the sample Muller matrix was less than 0.001.

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    Saifei WANG, Rui ZHANG, Peng XUE, Chengyu XU, Zhibin WANG. Microsecond ultra-high speed ellipsometry measurement technology based on differential evolutionary algorithm[J]. Journal of Applied Optics, 2025, 46(4): 859

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    Paper Information

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    Received: Feb. 26, 2025

    Accepted: --

    Published Online: Sep. 16, 2025

    The Author Email: Rui ZHANG (张瑞)

    DOI:10.5768/JAO202546.0403006

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