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Optimal mirror deformation for multi conjugate adaptive optics systems

机译:多共轭自适应光学系统的最佳镜面变形

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摘要

Multi conjugate adaptive optics (MCAO) is a system planned for all future extremely large telescopes to compensate in real-time for the optical distortions caused by atmospheric turbulence over a wide field of view. The principles of MCAO are based on two inverse problems: a stable tomographic reconstruction of the turbulence profile followed by the optimal alignment of multiple deformable mirrors (DMs), conjugated to different altitudes in the atmosphere. We present a novel method to treat the optimal mirror deformation problem for MCAO. Contrary to the standard approach where the problem is formulated over a discrete set of optimization directions we focus on the solution of the continuous optimization problem. In the paper we study the existence and uniqueness of the solution and present a Tikhonov based regularization method. This approach gives us the flexibility to apply quadrature rules for a more sophisticated discretization scheme. Using numerical simulations in the context of the European extremely large telescope we show that our method leads to a significant improvement in the reconstruction quality over the standard approach and allows to reduce the numerical burden on the computer performing the computations.
机译:多共轭自适应光学系统(MCAO)是为未来所有超大型望远镜计划的系统,用于实时补偿大范围内大气湍流引起的光学畸变。 MCAO的原理基于两个相反的问题:对湍流剖面进行稳定的层析成像重建,然后对与大气中不同高度共轭的多个可变形反射镜(DM)进行最佳对准。我们提出了一种新颖的方法来处理MCAO的最佳镜面变形问题。与在离散优化方向集上解决问题的标准方法相反,我们将重点放在解决连续优化问题上。在本文中,我们研究了解的存在性和唯一性,并提出了一种基于Tikhonov的正则化方法。这种方法使我们可以灵活地将正交规则应用于更复杂的离散化方案。在欧洲超大型望远镜的背景下使用数值模拟,我们表明,与标准方法相比,我们的方法可以显着提高重建质量,并可以减轻计算机进行计算的数字负担。

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