重复性
干涉测量
干扰(通信)
相(物质)
光学
准确度和精密度
理论(学习稳定性)
噪音(视频)
直线(几何图形)
材料科学
算法
观测误差
度量(数据仓库)
比例(比率)
计算机科学
物理
数学
电信
图像(数学)
机器学习
统计
频道(广播)
数据库
人工智能
量子力学
几何学
作者
Mengsi Zhang,Zhiyuan Wang,Songjie Luo,Xuanxuan Ji,Ziyang Chen,Jixiong Pu
标识
DOI:10.1016/j.optlaseng.2023.107540
摘要
The spectrally resolved interferometer (SRI) is used to measure the surface profile by the linear fitting line of its phase distribution of spectral interference signal. However, the noise existed in the phase cannot be ignored if the nano-scale measurement accuracy is required. In this paper, a novel algorithm is proposed to improve the measurement accuracy by using the constant term oflinear fitting line of phase distribution in wavenumber domain. The simulations indicate that the algorithm achieves the similar measurement accuracy under the influence of three kinds of noise. Even though the proposed algorithm has the possibility of 4% to bring the additional minor error, it provides a better performance on measurement of entire surface in different SNRs compared with the other two common algorithms. In experiments, the variations of surface less than 10 nm and 30 nm and the repeatability of 2.2 nm and 4.9 nm are obtained in the measurements of a protected aluminium mirror with and without proposed algorithm. A smooth profile with a step shape of nearly 3 μm height is tested, where the maximum repeatability of step height and maximum magnitude of variations of the surfaces reaches to 3.8 nm and 10 nm from the 15.3 nm and 30 nm by using this algorithm. Both the simulations and experimental results demonstrate that the proposed algorithm is feasible for high-precision measurement.
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