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High resolution residual wavefront reconstruction for closed-loop adaptive optics systems

机译:闭环自适应光学系统的高分辨率残余波前重建

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High-resolution imaging with large ground-based telescope is challenging due to atmospheric turbulence. Adaptive optics (AO) system can provide real-time compensation for the wavefront distortion in the pupil of the telescope. However, the observed images still suffer from a blurring caused by the residual wavefront. Numerical post-processing with a good approximation of the residual wavefront can help to effectively remove the blur. In this paper, a gradients measurement model for the Shack-Hartmann wavefront sensor (WFS) in a closed-loop AO system is built. The model is based on the frozen flow hypothesis with knowledge of the wind velocities of atmospheric turbulence layers. Then a high resolution residual wavefront reconstruction method using multiframe Shack-Hartmann WFS measurements and dcformable mirror voltages is presented. Numerical results show that the method can effectively improve the spatial resolution and accuracy of the reconstructed residual wavefront.
机译:由于大气湍流,具有大地基望远镜的高分辨率成像是挑战。自适应光学(AO)系统可以为望远镜的瞳孔中的波前畸变提供实时补偿。然而,观察到的图像仍然遭受由残余波前引起的模糊。具有良好近似的残留波前近似的数值后处理可以有助于有效地去除模糊。本文建立了闭环AO系统中的Shack-Hartmann波前传感器(WFS)的梯度测量模型。该模型基于冷冻的流动假设,了解大气湍流层的风速。然后,介绍了使用多帧Shack-Hartmann WFS测量和DcFormable镜电压的高分辨率残余波前重建方法。数值结果表明,该方法可以有效地提高重建残留波前的空间分辨率和精度。

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