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

机译:双子南8米望远镜的多共轭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:本文重点关注用于性能优化的多共轭自适应光学(MCAO)参数空间的两个主要类别:导星和可变形镜(DMs)的几何配置以及波前重构器。从第一类中可以看出,对于固定的重建器和成像波长,随着i)DM,ii)每DM的执行器和iii)导星的数量增加,具有一些重要例外的性能指标将如何提高。随着i)补偿范围的增加和ii)DM共轭高度与显着湍流大气层的不匹配,该度量标准将下降。在第二类中,本研究还使用最小平方估计量(LSE)和最大后验估计量(MAP)对波前重构的固定MCAO配置进行了性能比较。 MAP在低或中等信噪比(SNR)时表现出明显优于LSE的性能,并且由于其对相位统计的先验知识,即使在没有噪声的情况下,其性能也比LSE更好。

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