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首页> 外文期刊>Applied optics >Preprocessed cumulative reconstructor with domain decomposition: a fast wavefront reconstruction method for pyramid wavefront sensor
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Preprocessed cumulative reconstructor with domain decomposition: a fast wavefront reconstruction method for pyramid wavefront sensor

机译:具有域分解的预处理累积重建器:金字塔波前传感器的快速波前重建方法

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摘要

We present a fast method for the wavefront reconstruction from pyramid wavefront sensor (P-WFS) measurements. The method is based on an analytical relation between pyramid and Shack-Hartmann sensor (SH-WFS) data. The algorithm consists of two steps--a transformation of the P-WFS data to SH data, followed by the application of cumulative reconstructor with domain decomposition, a wavefront reconstructor from SH-WFS measurements. The closed loop simulations confirm that our method provides the same quality as the standard matrix vector multiplication method. A complexity analysis as well as speed tests confirm that the method is very fast. Thus, the method can be used on extremely large telescopes, e.g., for eXtreme adaptive optics systems.
机译:我们提出了一种从金字塔波阵面传感器(P-WFS)测量进行波阵面重建的快速方法。该方法基于金字塔和Shack-Hartmann传感器(SH-WFS)数据之间的解析关系。该算法包括两个步骤-将P-WFS数据转换为SH数据,然后应用具有域分解的累积重建器,根据SH-WFS测量得到的波前重建器。闭环仿真证实了我们的方法提供的质量与标准矩阵向量乘法方法相同。复杂性分析以及速度测试证实了该方法非常快。因此,该方法可以用在极大的望远镜上,例如用于极端自适应光学系统。

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