Limits of turbulence and outer scale profiling with non-Kolmogorov statistics | Zendy

Jonatan Lehtonen | Zendy; Tapio Helin | Zendy; Carlos Correia | Zendy

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Limits of turbulence and outer scale profiling with non-Kolmogorov statistics

Author(s) -

Jonatan Lehtonen,

Tapio Helin,

Carlos Correia

Publication year - 2018

Publication title -

adaptive optics systems vi

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1117/12.2313960

Subject(s) - turbulence , physics , statistical physics , power law , k epsilon turbulence model , atmospheric turbulence , k omega turbulence model , turbulence kinetic energy , scale (ratio) , kolmogorov microscales , computational physics , statistics , meteorology , mathematics , quantum mechanics

SLODAR (SLOpe Detection And Ranging) methods recover the atmospheric turbulence profile from cross-correlations of wavefront sensor (WFS) measurements, based on known turbulence models. Our work grows out of several experiments showing that turbulence statistics can deviate significantly from the classical Kolmogorov/ von Kármán models, especially close to the ground. We present a novel SLODAR-type method which simultaneously recovers both the turbulence profile in the atmosphere and the turbulence statistics at the ground layer - namely the slope of the spatial frequency power law. We consider its application to outer scale (L0)- reconstruction and investigate the limits of the joint estimation of such parameters.

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