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Wavefront correction of extended objects through image sharpness maximisation

机译:通过图像清晰度最大化的扩展对象的波前校正

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Many adaptive optics systems rely on a wavefront sensor (WFS) to sense the aberrations in an incoming wavefront. The required corrections are determined and applied by the wavefront corrector - often a deformable mirror (DM). We wish to develop a wavefront sensor-less correcting system, as derived from the original adaptive optics system of Muller and Buffington. In this experiment we apply commands to a corrective element with adjustable segments in an attempt to maximise a metric which correlates to image quality. We employ search algorithms to find the optimal combination of actuator voltages on a DM to maximise a certain sharpness metric. The "sharpness" is based on intensity measurements taken with a CCD camera. It has shown that sharpness maximisation, using the Simplex algorithm, can minimise the aberrations and restore the Airy rings of an imaged point source. The results are repeatable and so-called "blind" correction of the aberrations is achieved. This paper demonstrates that the technique can be applied to extended objects which have been aberated using a Hamamatsu SLM to induce aberrations. The correction achieved using various search algorithms are evaluated and presented.
机译:许多自适应光学系统依赖于波前传感器(WFS)来感测传入波前的像差。通过波前校正器确定并施加所需的校正 - 通常是可变形镜(DM)。我们希望开发一个波前传感器校正系统,它来自Muller和Buffington的原始自适应光学系统。在该实验中,我们将命令应用于具有可调节段的纠正元件,以便最大化与图像质量相关的度量。我们采用搜索算法来查找DM上的致动器电压的最佳组合,以最大化某个清晰度度量。 “清晰度”基于用CCD相机拍摄的强度测量。已经表明,使用单纯形算法的锐度最大化可以最小化像差并恢复成像点源的通风环。结果是可重复的,所谓的“盲人”校正逐渐校正。本文表明,该技术可以应用于使用Hamamatsu SLM诱导像差的扩展物体。评估和呈现使用各种搜索算法实现的校正。

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