Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm

doi:10.3390/s23104966

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	Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm
	H. Zhang, G. Ju, L. Guo, B. Xu, X. Bai, F. Jiang and S. Xu
	2023
发表期刊	Sensors
ISSN	14248220
卷号	23 期号:10
摘要	The presence of manufacture error in large mirrors introduces high-order aberrations, which can severely influence the intensity distribution of point spread function. Therefore, high-resolution phase diversity wavefront sensing is usually needed. However, high-resolution phase diversity wavefront sensing is restricted with the problem of low efficiency and stagnation. This paper proposes a fast high-resolution phase diversity method with limited memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) algorithm, which can accurately detect aberrations in the presence of high-order aberrations. An analytical gradient of the objective function for phase-diversity is integrated into the framework of the L-BFGS nonlinear optimization algorithm. L-BFGS algorithm is specifically suitable for high-resolution wavefront sensing where a large phase matrix is optimized. The performance of phase diversity with L-BFGS is compared to other iterative method through simulations and a real experiment. This work contributes to fast high-resolution image-based wavefront sensing with a high robustness. © 2023 by the authors.
DOI	10.3390/s23104966
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/68157
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	H. Zhang, G. Ju, L. Guo, B. Xu, X. Bai, F. Jiang and S. Xu. Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm[J]. Sensors,2023,23(10).
APA	H. Zhang, G. Ju, L. Guo, B. Xu, X. Bai, F. Jiang and S. Xu.(2023).Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm.Sensors,23(10).
MLA	H. Zhang, G. Ju, L. Guo, B. Xu, X. Bai, F. Jiang and S. Xu."Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm".Sensors 23.10(2023).

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