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Comparison of multiconjugate adaptive optics configurations and control algorithms for the Gemini-South 8-m telescope

机译:Gemini-South 8-M望远镜多区缀合物自适应光学配置和控制算法的比较

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This paper focuses on two main categories of the multiconjugate adaptive optics (MCAO) parameter space for performance optimization: the geometrical configuration of guide stars and deformable mirrors (DMs), and the wavefront reconstructors. From the first category it is shown how, for a fixed reconstructor and imaging wavelenght, the performance metrics with a few important exceptios improve with an increasing number of i) DMs, ii) actuators per DM and iii) guide stars. The metrics are seen to degrade with i) an increasing field of compensation and ii) DM conjugation altitude mismatch with the significant turbulent atmospheric layers. In the second category, this study also compares the performance with a fixed MCAO configuration using the least-square estimator (LSE) and the maximum a posteriori estimator (MAP) for wavefront reconstruciton. The MAP is shown to perform significantly better than the LSE at low or intermediate signal-to-noise ratios (SNRs), and somewhat better even in the absence of noise due to its a priori knowledge of the phase statistics.
机译:本文围绕两个主要类别进行性能优化的多重共轭自适应光学器件(MCAO)的参数空间的:导航星和可变形反射镜(DMS),和波阵面重建器的几何构型。从它示出了第一类别如何,对于固定的重建器和成像wavelenght,具有几个重要的exceptios性能度量与越来越多的ⅰ)DM的提高,ⅱ)每DM的致动器以及iii)引导分。度量被视为其中i降解)的补偿增加的字段以及ii)缀合DM高度失配与显著大气湍流层。在第二类中,本研究还比较了使用最小二乘估计器(LSE)和波前reconstruciton的最大后验估计器(MAP)的固定MCAO配置的性能。该MAP被示出为比在低或中间信号与噪声比(SNR)的LSE显著更好执行,并且稍好甚至在不存在噪声的,由于其先验相位统计的知识。

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