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Speckle transfer function for partial correction adaptive optics image reconstruction

机译:散斑传递函数用于局部校正自适应光学图像重建

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摘要

The residual aberrations of adaptive optics (AO) images can be removed by the speckle reconstruction method. To achieve accurate photometry, the knowledge of the speckle transfer function (STF) is necessary. In this Letter, a new method is proposed to evaluate the STF for speckle image reconstruction based on the partial correction AO. The STF is divided into two sections: the low-frequency section and the high-frequency section, and two different generalized Fried parameters for the partial wavefront compensation are used to calculate the STF values of those two different sections. This method is tested with the different seeing conditions and the various correction modes. The results show that the combined STFs have satisfactory agreement with the simulated AO STFs and give more accurate results than the STFs obtained from the traditional spectral ratio method. Further discussions show that the method is more reliable when the AO is operated in low-order correction mode because the approximation of the STF and the two generalized Fried parameters have better accuracy when the pupil diameter is much larger than those generalized Fried parameters.
机译:自适应光学(AO)图像的残留像差可以通过斑点重建方法消除。为了实现准确的测光,散斑传递函数(STF)的知识是必要的。在这封信中,提出了一种新的评估基于部分校正AO的散斑图像重建STF的方法。 STF分为两个部分:低频部分和高频部分,并且使用了两个不同的用于部分波前补偿的广义Fried参数来计算这两个不同部分的STF值。该方法在不同的观察条件和各种校正模式下进行了测试。结果表明,组合的STF与模拟的AO STF具有令人满意的一致性,并且比从传统的光谱比方法获得的STF具有更准确的结果。进一步的讨论表明,当在低阶校正模式下操作AO时,该方法更为可靠,因为当瞳孔直径远大于那些广义Fried参数时,STF和两个广义Fried参数的逼近度具有更好的精度。

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