4.5 Article

Fringe analysis for thickness estimation of optical glass plate using Fizeau interferometer

期刊

OPTICS COMMUNICATIONS
卷 513, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.optcom.2022.128086

关键词

Nonlinear error of phase modulation; Homogeneity in optical thickness; Phase-extraction algorithm; Dispersive error of refractive index; Fizeau interferometer

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资金

  1. National Research Foundation of Korea (NRF) - Korean government (MSIT) [2021R1A2C1012658]
  2. National Research Foundation of Korea [2021R1A2C1012658] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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A new method has been developed to determine the homogeneity in optical thickness of a transparent glass plate, and a 21-sample phase-extraction algorithm has been derived for this purpose. The algorithm is shown to be able to suppress residual ripples effectively and demonstrated to have greater error suppression ability compared to other algorithms.
Shift error of modulation frequency generated from the refractive-index dispersion of a transparent glass plate and the nonlinear properties of phase modulation during wavelength tuning need to be suppressed for determining the homogeneity in optical thickness of the glass plate with wavelength tuning. In this study, we develop a new method to eliminate the dispersive error of refractive index and the nonlinear error of the phase modulation simultaneously. Moreover, a new 21-sample phase-extraction algorithm is derived using the proposed method. Characteristics of the newly designed algorithm are visualized in the frequency domain and on the complex plane. Numerical analysis show that the 21-sample algorithm has a greater error-suppression ability than other classical algorithms. The homogeneity in optical thickness of the transparent glass plate is determined by combining the proposed 21-sample algorithm and Fizeau-type interferometer. The standard deviation of thickness profiling measurement is 5.658 nm. This is significantly smaller than the standard deviation of other algorithms. Furthermore, the two-dimensional thickness distributions demonstrated that the proposed 21-sample algorithm can suppress residual ripples more effectively compared with other algorithms.

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