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Computationally efficient analytic transformation from phase psd to intensity psf

机译:从相位psd到强度psf的计算有效解析转换

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A simple analytic form for the intensity point spread function is obtained in terms of the power spectral density function for the phase. Two fourier transforms are required to compute the psf from the psd (A third fourier transform is needed to give the fraction of the light in the core). The analytic form is an infinite sum of convolution integrals of increasing order in the psd function multiplied by the simple renormalization factor exp(-sigma 2), where sigma 2 is the two-dimensional integral of the psd in radians squared. Computationally, the psf is evaluated on a discrete grid in kx-ky space. This infinite sum can be evaluated at all pixels other than the zero frequency pixel by taking the two-dimensional complex fourier transform X of the psd, computing exp(X)-1, and then taking the inverse fourier transform. There is also a simple expression for the value at the zero spatial frequency pixel. Like the psd, the psf is smooth because the psf is an ensemble average over all realizations for the phase: Each realization of the phase gives an intensity speckle pattern in the focal plane. The psf is the ensemble average over all realizations. This transformation has been extensively tested for azimuthally symmetric phase psd functions by comparing the computed psf using the analytic transformation with the azimuthally averaged psf computed using a specific realization for the phase. The psd functions that were compared this way were all azimuthally symmetric, but the analytic transformation from psd to psf doesn't require this. The final result for the halo is equivalent to the result in Hardy when the pupil is infinite. The derivation in this paper is simple and direct.
机译:根据相位的功率谱密度函数,获得了强度点扩展函数的简单解析形式。需要两个傅立叶变换来从psd计算psf(需要第三傅立叶变换以给出纤芯中的一部分光)。解析形式是psd函数中升序的卷积积分乘以简单的重新归一化因子exp(-sigma 2)的无限总和,其中sigma 2是psd的二维积分(以弧度平方)。通过计算,在kx-ky空间中的离散网格上评估psf。通过对psd进行二维复数傅立叶变换X,计算exp(X)-1,然后对傅立叶逆变换,可以在零频率像素以外的所有像素处评估此无限和。对于零空间频率像素处的值,还有一个简单的表达式。像psd一样,psf也是平滑的,因为psf是该阶段所有实现上的整体平均值:该阶段的每个实现都会在焦平面上给出强度斑点图案。 psf是所有实现的综合平均值。通过将使用解析变换的计算出的psf与使用该相位的特定实现计算出的方位角平均psf进行比较,已针对方位角对称相位psd函数进行了广泛的测试。以此方式比较的psd函数都是方位对称的,但从psd到psf的解析转换不需要此。光晕的最终结果与瞳孔无限大时在Hardy中的结果相同。本文的推导是简单而直接的。

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