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Monte-Carlo simulation of ELT scale multi-object adaptive optics deformable mirror requirements and tolerances.

机译:ELT比例多目标自适应光学器件的可变形镜要求和公差的蒙特卡洛模拟。

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摘要

Multi-object adaptive optics (MOAO) has been demonstrated by the CANARY instrument on the William Herschel Telescope. However, for proposed MOAO systems on the next-generation extremely large telescopes (ELTs), such as ELT Adaptive optics for GaLaxy Evolution (EAGLE), many challenges remain. Here we investigate requirements that MOAO operation places on deformable mirrors (DMs) using a full end-to-end Monte Carlo adaptive optics (AO) simulation code. By taking into consideration a prior global ground-layer (GL) correction, we show that actuator density for the MOAO DMs can be reduced with little performance loss. We note that this reduction is only possible with the addition of a GL DM, whose order is greater than or equal to that of the original MOAO mirrors. The addition of a GL DM of lesser order does not affect system performance (if tip/tilt star sharpening is ignored). We also quantify the maximum mechanical DM stroke requirements (3.5 μm desired) and provide tolerances for the DM alignment accuracy, both lateral (to within an eighth of a sub-aperture) and rotational (to within 0 ∘ . 2). By presenting results over a range of laser guide star asterism diameters, we ensure that these results are equally applicable for laser tomographic AO systems. We provide the opportunity for significant cost savings to be made in the implementation of MOAO systems, resulting from the lower requirement for DM actuator density.
机译:多目标自适应光学(MOAO)已通过William Herschel望远镜上的CANARY仪器进行了演示。但是,对于下一代超大型望远镜(ELT)上提出的MOAO系统,例如用于GaLaxy演化的ELT自适应光学系统(EAGLE),仍然存在许多挑战。在这里,我们使用完整的端到端蒙特卡洛自适应光学(AO)仿真代码来研究MOAO操作对可变形镜(DM)放置的要求。通过考虑先前的全局接地层(GL)校正,我们表明MOAO DM的执行器密度可以降低而性能损失很小。我们注意到,只有通过添加GL DM才能实现这种减少,该GL DM的顺序大于或等于原始MOAO镜的顺序。添加较小顺序的GL DM不会影响系统性能(如果忽略了尖端/倾斜星锐化)。我们还对最大机械DM行程要求(所需的3.5μm)进行了量化,并提供了DM对准精度的容限,包括横向(至子孔径的八分之一以内)和旋转(至0∘.2以内)。通过在一系列激光导星星形直径上显示结果,我们确保这些结果同样适用于激光断层扫描AO系统。由于对DM执行器密度的要求较低,我们为MOAO系统的实施提供了可节省大量成本的机会。

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