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Time-Varying Stochastic Turbulence Model Considering Intermittency

机译:考虑间歇性时变随机湍流模型

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Considering the intermittency of turbulence, the white noise as the stochastic driving term in time-varying stochastic turbulence model, which was supposed by Curtis R.Vogel [1], is replaced by a Levy random process. Phase screens can be obtained by solving the stochastic partial differential equation (PDE), and the corresponding point spread function (PSF) is also offered. These results describe that intermittency leads to the more extent distribution of PSF and more bad imaging quality.
机译:考虑到湍流的间歇性,作为时变随机湍流模型中的随机驱动术语的白噪声,由Curtis R.Vogel [1]所谓的时变随机湍流模型被征收随机过程所取代。通过求解随机偏微分方程(PDE)可以获得相位屏幕,并且还提供相应的点扩展功能(PSF)。这些结果描述了间歇性导致PSF的分布和成像质量更严重的程度。

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