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Estimating the point spread function of an imaging system using wavefront measurement

机译:使用波前测量估算成像系统的点扩展功能

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An imaging system is constructed by atmosphere turbulence and ground-based telescope when the latter is used to observe a space object. The wavefront measurement produced by adaptive optics system can be used to estimate the point spread function (PSF) of the imaging system since it contains the wavefront aberration information of the light from the object. But the detector noise of the wavefront sensor (WFS) will inevitably bring estimation error. Based on the statistical theory, a method is presented to improve the PSF estimation accuracy by eliminating the noise error from the wavefront measurement. The numerical simulation shows that the estimation error of this method could be lower than 10%. It also indicates that the higher the signal-noise-ratio (SNR) of the WFS is, the more frames of the wavefront measurements are used, and the bigger the Fried constant is, the more accurate the estimation will be. The work in this paper can be applied to performance evaluation of imaging system, deconvolution of AO images, as well as photometric analysis of space object.
机译:当地面望远镜用于观测空间物体时,成像系统由大气湍流和地面望远镜构成。自适应光学系统产生的波前测量值可用于估计成像系统的点扩展函数(PSF),因为它包含来自物体的光的波前像差信息。但是波前传感器(WFS)的探测器噪声不可避免地会带来估计误差。基于统计理论,提出了一种通过消除波前测量中的噪声误差来提高PSF估计精度的方法。数值仿真表明,该方法的估计误差可以低于10%。它还表明,WFS的信噪比(SNR)越高,使用的波前测量帧越多,并且Fried Fried常数越大,估计将越准确。本文的工作可以应用于成像系统的性能评估,AO图像的去卷积以及空间物体的光度分析。

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