论文标题
迭代小波重建器的性能，用于ESO ELT的多偶联自适应光学接力
Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of ESO's ELT
论文作者
论文摘要
多偶联的自适应光学接力（MAORY）是欧洲南部天文台极大望远镜的关键自适应光学（AO）系统之一。毛里（Maory）旨在在大型视野上实现良好的波前校正，这涉及对3D大气波前干扰的层析成像估计。从数学上讲，大气中湍流层的重建严重不足，因此限制了可实现的重建精度。此外，重建必须以几百到一千个赫兹帧速率实时执行。必须处理大量数据，并且必须由详细算法控制可变形镜的数千个执行器。即使有了广泛的并行化和管道化，直接求解器（例如矩阵矢量乘法（MVM）方法）也极为苛刻。因此，过去几年的研究转向了迭代方法的方向。在本文中，我们关注迭代有限元小波混合算法（FEWHA）。 FEWHA的关键功能是所有涉及的所有操作员的无基质表示，这使该算法快速，并在望远镜的参数或大气中更改时，可以在飞行系统上更新。我们使用AO软件包指南针提供了有关Maory仪器质量和运行时间的方法的性能分析。
The Multi-conjugate Adaptive Optics RelaY (MAORY) is one of the key Adaptive Optics (AO) systems on the European Southern Observatory's Extremely Large Telescope. MAORY aims to achieve a good wavefront correction over a large field of view, which involves a tomographic estimation of the 3D atmospheric wavefront disturbance. Mathematically, the reconstruction of turbulent layers in the atmosphere is severely ill-posed, hence, limits the achievable reconstruction accuracy. Moreover, the reconstruction has to be performed in real-time at a few hundred to one thousand Hertz frame rates. Huge amounts of data have to be processed and thousands of actuators of the deformable mirrors have to be controlled by elaborated algorithms. Even with extensive parallelization and pipelining, direct solvers, such as the Matrix Vector Multiplication (MVM) method, are extremely demanding. Thus, research in the last years shifted into the direction of iterative methods. In this paper we focus on the iterative Finite Element Wavelet Hybrid Algorithm (FEWHA). The key feature of FEWHA is a matrix-free representation of all operators involved, which makes the algorithm fast and enables on the fly system updates whenever parameters at the telescope or in the atmosphere change. We provide a performance analysis of the method regarding quality and run-time for the MAORY instrument using the AO software package COMPASS.
