Adaptive optics based on machine learning: a review

Adaptive optics techniques have been developed over the past half century and routinely used in large ground-based telescopes for more than 30 years. Although this technique has already been used in various applications, the basic setup and methods have not changed over the past 40 years. In recent...

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Bibliographic Details
Main Authors: Youming Guo, Libo Zhong, Lei Min, Jiaying Wang, Yu Wu, Kele Chen, Kai Wei, Changhui Rao
Format: Article
Language:English
Published: Institue of Optics and Electronics, Chinese Academy of Sciences 2022-07-01
Series:Opto-Electronic Advances
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Online Access:https://www.oejournal.org/article/doi/10.29026/oea.2022.200082
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Summary:Adaptive optics techniques have been developed over the past half century and routinely used in large ground-based telescopes for more than 30 years. Although this technique has already been used in various applications, the basic setup and methods have not changed over the past 40 years. In recent years, with the rapid development of artificial intelligence, adaptive optics will be boosted dramatically. In this paper, the recent advances on almost all aspects of adaptive optics based on machine learning are summarized. The state-of-the-art performance of intelligent adaptive optics are reviewed. The potential advantages and deficiencies of intelligent adaptive optics are also discussed.
ISSN:2096-4579