Time-Varying Stochastic Turbulence Model Considering Intermittency

Abstract

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 L\'{e}vy 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.