强激光与粒子束2024，Vol.36Issue(7)：4-13,10.DOI:10.11884/HPLPB202436.230430
深度学习在波前重构与波前预测中的研究进展
Research progress in deep learning for wavefront reconstruction and wavefront prediction
邱从攀 1刘国栋 1张大勇 1胡流森1
作者信息
- 1. 中国工程物理研究院流体物理研究所,四川绵阳 621900
- 折叠
摘要
Abstract
The combination of deep learning technology and adaptive optics technology is expected to effectively improve the wavefront correction effect and better cope with more complex environmental conditions.The research progress of applying deep learning in the direction of wavefront reconstruction and wavefront prediction is detailed,including the specific research methods and corresponding neural network structure design adopted by the researchers in these two research directions.The performance of these neural networks in different practical application scenarios is analyzed,the differences between different neural network structures are compared and discussed,and the specific impacts of the structural differences are explored.Finally,the existing methods of deep learning in these two directions are summarized,and the future development trend of the deep integration of deep learning and adaptive optics technology is also prospected.关键词
深度学习/自适应光学/波前重构/波前预测Key words
deep learning/adaptive optics/wavefront reconstruction/wavefront prediction分类
数理科学引用本文复制引用
邱从攀,刘国栋,张大勇,胡流森..深度学习在波前重构与波前预测中的研究进展[J].强激光与粒子束,2024,36(7):4-13,10.
