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A 'Fast and Furious' solution to the low-wind effect for SPHERE at the VLT

机译:VLT上SPHERE的低风效果的“快速与激情”解决方案

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We present a potential non-invasive solution to sensing the so-called low-wind effect (LWE) seen in the SPHERE instrument at the VLT, based on the "Fast and Furious (F&F) sequential phase diversity wavefront reconstruction algorithm. This uses non-coronagraphic focal-plane images available from the near-infra-red Differential Tip-Tilt Sensor (DTTS), with the closed-loop correction cycle itself providing the necessary phase diversity between frames required to reconstruct the full wavefront phase. Crucially, this means F&F does not need to apply large artificial phase probes as required by standard phase diversity algorithms, allowing it to operate in a realtime (~10 Hz) correction mode without impacting science observations. In this paper we present the results of realistic closed-loop AO simulations designed to emulate SPHERE/DTTS observations of the LWE. With this we demonstrate that the F&F algorithm is capable of effective removal of the characteristic point-spread function (PSF) aberrations of strongly LWE-affected images within a few closed-loop iterations, with the final wavefront quality limited only by the corrective order of the deformable mirror. The ultimate goal of this project is to provide an independent, real-time and focal-plane wavefront sensor for SPHERE which is capable of detecting and directly compensating the LWE as it arises, thus improving coronagraph performance under the best 15-20 % of observing conditions where the effect is most pronounced.
机译:我们提出了一种潜在的非侵入性解决方案,用于感测在VLT的SPHERE仪器中看到的所谓的低风效应(LWE),该解决方案基于“快速与激情(F&F)顺序相位分集波阵面重建算法。可以从近红外微分倾斜传感器(DTTS)获得的X射线冠状焦平面图像,其闭环校正循环本身可提供重建整个波前相位所需的帧之间必要的相位差异。 F&F不需要按照标准相位分集算法的要求使用大型的人工相位探头,从而可以在不影响科学观测的情况下以实时(〜10 Hz)校正模式工作。旨在模拟LWE的SPHERE / DTTS观测值的模拟,从而证明F&F算法能够有效去除特征点扩展函数(PSF)a在几次闭环迭代中,强烈影响LWE的图像的畸变,最终的波前质量仅受可变形反射镜的校正顺序限制。该项目的最终目标是为SPHERE提供一个独立的实时焦平面波前传感器,该传感器能够检测和直接补偿LWE产生的LWE,从而在最佳观测15-20%的情况下提高日冕仪的性能。效果最明显的条件。

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