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Optical system optimization method for as-built performance based on nodal aberration theory
Z. Y. Gu,Y. Wang and C. X. Yan
2020
发表期刊Optics Express
ISSN1094-4087
卷号28期号:6页码:7928-7942
摘要The traditional optical design process isolates the two steps of system performance optimization and tolerance allocation, making it difficult to achieve optimal design of as-built performance. To solve this problem, this paper proposes an analytical method for optimizing the as-built performance of optical systems. The method uses the nodal aberration theory to derive the wavefront aberration estimated value under the given surface decenter and tilt tolerance, and establishes the optical system as-built performance evaluation model. The as-built performance evaluation does not require a large amount of ray tracing, which can be completed only by tracking the paraxial marginal ray and the principal ray, and the calculation amount is small. The as-built performance evaluation model can be directly used as error function in optical design software for optical system optimization. A Cooke triplet system is taken as an example to compare the as-built performance optimization method, Code V and Zemax OpticStudio's built-in optimization methods and the traditional method which Optimizes only nominal performance by Monte-Carlo tolerance analysis. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
DOI10.1364/oe.383727
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收录类别SCI ; EI
语种英语
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/64757
专题中国科学院长春光学精密机械与物理研究所
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Z. Y. Gu,Y. Wang and C. X. Yan. Optical system optimization method for as-built performance based on nodal aberration theory[J]. Optics Express,2020,28(6):7928-7942.
APA Z. Y. Gu,Y. Wang and C. X. Yan.(2020).Optical system optimization method for as-built performance based on nodal aberration theory.Optics Express,28(6),7928-7942.
MLA Z. Y. Gu,Y. Wang and C. X. Yan."Optical system optimization method for as-built performance based on nodal aberration theory".Optics Express 28.6(2020):7928-7942.
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