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Waffle Mode Error in the AEOS Adaptive Optics Point-Spread Function

机译:AEOS自适应光学点传播功能中的华夫饼式错误

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Adaptive optics (AO) systems have improved astronomical imaging capabilities significantly over the last decade, and have the potential to revolutionize the kinds of science done with 4-5m class ground-based telescopes. However, provided sufficient detailed study and analysis, existing AO systems can be improved beyond their original specified error budgets. Indeed, modeling AO systems has been a major activity in the past decade: sources of noise in the atmosphere and the wavefront sensing (WFS) control loop have received a great deal of attention, and many detailed and sophisticated control-theoretic and numerical models predicting AO performance are already in existence. However, in terms of AO system performance improvements, wavefront reconstruction (WFR) and wavefront calibration techniques have commanded relatively little attention. We elucidate the nature of some of these reconstruction problems, and demonstrate their existence in data from the AEOS AO system. We simulate the AO correction of AEOS in the I-band, and show that the magnitude of the 'waffle mode' error in the AEOS reconstructor is considerably larger than expected. We suggest ways of reducing the magnitude of this error, and, in doing so, open up ways of understanding how wavefront reconstruction might handle bad actuators and partially-illuminated WFS subapertures.
机译:自适应光学(AO)系统提高了天文成像能力显著在过去十年中,并有可能彻底改变与4-5M类的地面望远镜进行的各种科学的潜力。然而,提供了足够详细的研究和分析,现有的AO系统能够超越自己原来指定的错误预算得到改善。事实上,造型AO系统已经在过去的十年里的主要活动:噪音的大气和波前传感器(WFS)控制回路源已收到了极大关注,许多详细而复杂的控制理论和数值模式预测AO性能都已经存在。然而,在AO系统性能的提升方面,波前重构(WFR)和波前校正技术已经吩咐相对很少关注。我们阐明其中的一些重建问题的性质,并证明自己从AEOS AO系统的数据存在。我们模拟AEOS的AO修正在I波段,并表明在AEOS重建的“华夫饼模”误差的幅度是相当大的比预期的。我们建议减少这种误差的大小,并且,这样做的方式,开辟了理解波前重建会如何处理有问题的驱动器和部分照明WFS子孔径的方式。

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