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Automatic determination of atmospheric turbulence wind profiles using wavelets

机译:使用小波自动确定大气湍流风廓线

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Adaptive optics devices in astronomy compensate the distortions introduced by the atmosphere in the quality and resolution of images taken by ground-based telescopes. The proper knowledge of the spatial and temporal behaviour of the atmospheric turbulence is crutial for optimizing the design of multiconjugate adaptive optics systems to satisfy the excellent image quality requirements of the new generation of large and extremelly large telescopes. Atmospheric turbulence monitoring is being carried out at astronomical sites using different techniques, being generalized SCIDAR one of the most popular. Generalized SCIDAR technique provides enough information to derive the vertical structure of the atmospheric turbulence (C_N~2(h)) as well as the velocity of the turbulent layers (V_(tur)(h)). In this work, we present a new and automatic method to derive V_(tur)(h) from generalized SCIDAR data based on wavelet analysis.
机译:天文学中的自适应光学设备可以补偿大气引入的地面望远镜所拍摄图像的质量和分辨率造成的畸变。对大气湍流的时空行为的正确了解对于优化多共轭自适应光学系统的设计,以满足新一代大型和超大型望远镜的出色图像质量要求至关重要。正在使用不同技术在天文站点进行大气湍流监测,这是广义SCIDAR最受欢迎的技术之一。广义SCIDAR技术提供了足够的信息来推导大气湍流(C_N〜2(h))的垂直结构以及湍流层的速度(V_(tur)(h))。在这项工作中,我们提出了一种基于小波分析从广义SCIDAR数据导出V_(tur)(h)的新方法。

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