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Performance of a modal zone wavefront recovery algorithm (Hudgin)implemented on FPGAs for its use in ELTs

机译:在FPGA上实现的模态区域波前恢复算法(Hudgin)的性能,以便在elts中使用

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The use of AO in Extremely Large Telescopes, used to improve performances in smaller telescopes, becomes now mandatory to achieve diffraction limited images according to the large apertures. On the other hand, the new dimensions push the specifications of the AO systems to new frontiers where the order of magnitude in terms of computation power, time response and the required numbers of actuators impose new challenges to the technology. In some aspects implementation methods used in the past result no longer applicable. This paper examines the real dimension of the problem imposed by ELTs and shows the results obtained in the laboratory for a real modal wavefront recovery algorithm (Hudgin) implemented in FPGAs. Some approximations are studied and the performances in terms of configuration parameters are compared. Also a preferred configuration will be justified.
机译:在极大的望远镜中使用AO,用于改善较小望远镜的性能,现在必须根据大孔径实现衍射限制图像。另一方面,新尺寸将AO系统的规格推向新的前沿,其中在计算能力,时间响应和执行器的时间响应和所需数量方面的数量级施加了对技术的新挑战。在某些方面,过去结果中使用的实现方法不再适用。本文研究了elts施加的问题的实际维度,并显示了在FPGA中实现的真实模态波前恢复算法(Hudgin)的实验室中获得的结果。研究了一些近似值,并比较了配置参数方面的性能。还有一个优选的配置将是合理的。

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