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Fast Hardware Implementation of Tomography for Multi-guidestar Adaptive Optics

机译:用于多向导星自适应光学的层析成像的快速硬件实现

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An adaptive optics system using multiple deformable mirrors and an array of guidestars can correct over a wider field of view than traditional single DM systems and can also eliminate the cone-effect error due to the finite altitude of laser guidestars. In large telescope systems, such as the envisioned 30-meter telescope, or TMT, the extraordinarily large amount of computation needed to implement multi-conjugate adaptive optics at atmospheric turnover rates is prohibitive for ordinary CPUs, even when another ten years of computer development is taken into account. We present here a novel approach, implementing a fast iterative version of the key inverse tomography calculations in an array of parallel computing elements. Our initial laboratory experiments using field-programmable gate arrays (FPGAs) are promising in terms of speed and convergence rates. In this paper we present the theory and results from simulations and experiments.
机译:与传统的单个DM系统相比,使用多个可变形反射镜和一系列引导星的自适应光学系统可以在更宽的视野范围内进行校正,并且还可以消除由于激光引导星的高度有限而导致的圆锥效应误差。在大型望远镜系统(例如设想的30米望远镜或TMT)中,以大气周转率实现多共轭自适应光学所需的大量计算量对于普通CPU来说是无法实现的,即使计算机发展了另外十年考虑在内。我们在这里提出一种新颖的方法,在一系列并行计算元素中实现关键反层析成像计算的快速迭代版本。就速度和收敛速度而言,我们使用现场可编程门阵列(FPGA)进行的最初实验室实验很有希望。在本文中,我们介绍了理论和仿真和实验结果。

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