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Strategies for Coping with Sodium Profile Variations in Laser Guide Star AO Systems

机译:应对激光导航星AO系统的钠剖面变化的策略

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The vertical profile of the mesospheric sodium layer varies significantly on a time scale of one minute. These variations can impact the random and systematic measurement errors of laser guide star Shack-Hartmann wave front sensors, particularly on extremely large telescopes. Sensor performance can be improved by selecting pixel processing weights matched to the sodium layer profile, assuming that the shape of the profile can be measured or estimated in real time. In this paper we describe the magnitude of these effects for the Thirty Meter Telescope AO system NFIRAOS. We review several existing approaches for measuring or estimating the sodium layer profile in real time. We then describe a new method for estimating the profile directly from the laser guide star wave front pixel intensities themselves, jointly with the subaperture tip/tilt measurements. The algorithm used for this purpose is based upon the multi-frame iterative blind deconvolution algorithm from image post processing: Subaperture tip/tilts and the sodium profile are estimated successively, bootstrapping the estimate of each quantity from the previous estimate of the other. We present promising initial simulation results on the potential performance of the algorithm, and suggest areas for future work.
机译:Mesompheric钠层的垂直轮廓在一分钟的时间标度上变化显着。这些变化可能会影响激光导向星落哈特曼波前传感器的随机和系统测量误差,特别是在极大的望远镜上。通过选择与钠层轮廓匹配的像素处理权重来改善传感器性能,假设可以实时测量或估计轮廓的形状。在本文中,我们描述了三十米望远镜AO系统Nfiraos的这些效果的大小。我们审查了几种现有的测量方法,实时测量或估算钠层剖面。然后,我们描述了一种用于估计轮廓从激光导向星前像素强度本身的新方法,与子孔节尖/倾斜测量相同。用于此目的的算法基于来自图像后处理的多帧迭代盲解卷积算法:依次估计亚峰倾斜和倾斜和钠曲线,从前一个估计开始估计每个量的估计。我们提出了有希望的初始仿真结果对算法的潜在性能,并建议未来工作的领域。

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