Inner- and outer-scales of turbulent wavefront phase defined through the lens of multi-scale Levy fractional Brownian motion processes

Dario G. Perez; Luciano Zunino

doi:10.1117/12.800155

9 October 2008 Inner- and outer-scales of turbulent wavefront phase defined through the lens of multi-scale Levy fractional Brownian motion processes

Dario G. Perez, Luciano Zunino

Author Affiliations +

Proceedings Volume 7108, Optics in Atmospheric Propagation and Adaptive Systems XI; 71080O (2008) https://doi.org/10.1117/12.800155
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

We have previously shown that the Levy fractional Brownian field family accounts for a complete statistical and analytical description of non-Kolmogorov wavefront phase [Opt. Lett. 33(6), 572 (in press, 2008)]. This is a nonstationary process having zero mean and stationary increments; then, replicating the well-known properties of the turbulent phase. Opposite to traditional models relying in the stationary (spectral) approximation of the phase, that ultimately leads to non-physical divergences. Our model avoids these pitfalls and gives exact analytical results to many observable quantities: Strehl ratio, angle-of-arrival variance, seeing and Zernike coefficients, and also, a generalized DIMM theory. Nevertheless, some coefficients are slightly below (~ 5-10%) when compared to other estimates in the occurrence of Kolmogorov turbulence. In the present work we show that this is due to the mono-fractal nature of this model; that is, the absence of inner- and outer-scales. To address this issue we introduce a Gaussian stochastic process whose realizations are multi-fractals: the multi-scale Levy fractional Brownian field.

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Dario G. Perez and Luciano Zunino "Inner- and outer-scales of turbulent wavefront phase defined through the lens of multi-scale Levy fractional Brownian motion processes", Proc. SPIE 7108, Optics in Atmospheric Propagation and Adaptive Systems XI, 71080O (9 October 2008); https://doi.org/10.1117/12.800155

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