基于P-U-net的角锥波前探测器的波前校正方法

Wavefront correction method based on P-U-net for pyramid wavefront detector

自适应光学技术被广泛应用于像差的校正,但在实际应用中,闭环校正需要较长的时间,并且由于变形镜的非线性响应,传统的开环校正方法的校正精度会受到影响。本文提出一种基于P-U-net网络的角锥波前探测器波前校正方法。P-U-net通过数据训练建立了整个自适应光学系统的模型,在角锥波前探测器的光瞳图像与变形镜的控制电压之间构建了直接的非线性映射关系。可以通过角锥波前探测器的光瞳图像直接计算变形镜的控制电压。通过使用仿真自适应系统理论验证了该方法的可行性,可以在50 ms内完成像差校正,校正精度达到0.1μm。与传统的闭环自适应校正算法相比,本文方法可以在更短的时间内完成像差校正,达到更高的精度,具有很好的应用前景。

Adaptive optics is widely used for aberration correction.But in practical applications,closedloop correction requires a longer time,and open-loop correction is affected by the hysteresis effect of deformable mirrors.In this research,we propose a wavefront correction method for pyramid wavefront detector based on the P-U-net.P-U-net establishes a model of the entire adaptive optical system through data training,and constructs a direct nonlinear mapping relationship between the pupil image of the corner cone wavefront detector and the control voltage of the deformable mirror.The control voltage of the deformable mirror can be calculated through the pupil image of the pyramid wavefront detector.The feasibility of this method is verified by using simulation adaptive system theory.It can complete aberration correction within 50 ms,and the correction accuracy can reach 0.1μm.Compared with traditional closed-loop adaptive correction algorithms,it can complete aberration correction in a shorter time,achieve higher accuracy,and has good application prospects.