摘要
Turbulence in complex environments such as the atmosphere and biological media has always been a great challenge to the application of beam propagation in optical communication, optical trapping and manipulation. To overcome this challenge, this study comprehensively investigates the robust propagation of traditional Gaussian and autofocusing beams in turbulent environments. In order to select stable beams that exhibit high intensity and high field gradient at the focal position in complex environments, Kolmogorov turbulence theory is used to simulate the propagation of beams in atmospheric turbulence based on the multi-phase screen method. We systematically analyze the intensity fluctuations, the variation of the coherence factor and the change in the scintillation index with propagation distance. The analysis reveals that the intensity fluctuations of autofocusing beams are significantly smaller than those of Gaussian beams, and the coherence of autofocusing beams is better than that of Gaussian beams under turbulence. Moreover, autofocusing beams exhibit less oscillation than Gaussian beams, indicating that autofocusing beams propagate in complex environments with less distortion and intensity fluctuation. Overall, this work clearly demonstrates that autofocusing beams exhibit higher stability in propagation compared with Gaussian beams, showing great promise for applications such as optical trapping and manipulation in complex environments.
作者
刘娜娜
谭柳
陈凯健
洪佩龙
莫小明
邹炳锁
任煜轩
梁毅
Na-Na Liu;Liu Tan;Kai-Jian Chen;Pei-Long Hong;Xiao-Ming Mo;Bing-Suo Zou;Yu-Xuan Ren;Yi Liang(Guangxi Key Laboratory for Relativistic Astrophysics,Center on Nanoenergy Research,School of Physical Science and Technology,Guangxi University,Nanning 530004,China;School of Mathematics and Physics,Anqing Normal University,Anqing 246133,China;Institute for Translational Brain Research,MOE Frontiers Center for Brain Science,Fudan University,Shanghai 200032,China)
基金
Project supported by the National Natural Science Foundation of China (Grant No. 11604058)
Guangxi Natural Science Foundation (Grant Nos. 2020GXNSFAA297041 and 2023JJA110112)
Innovation Project of Guangxi Graduate Education (Grant No. YCSW2023083)
Sichuan Science and Technology Program (Grant No. 2023NSFSC0460)。
作者简介
Corresponding author:Yi Liang.E-mail:liangyi@gxu.edu.cn。
