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

Akseli Lehtonen, Carlos M. Correia, Tapio Helin

Research output: Contribution to journalConference articleScientificpeer-review

Abstract

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.
Original languageEnglish
Article number107036C
JournalProceedings of SPIE, the International Society for Optical Engineering
Volume10703
ISSN0277-786X
DOIs
Publication statusPublished - 30 Jul 2018
MoE publication typeA4 Article in conference proceedings
EventSPIE Astronomical Telescopes + Instrumentation: Adaptive Optics Systems VI - Austin, United States
Duration: 10 Jun 201815 Jun 2018

Fields of Science

  • 111 Mathematics
  • Inverse problems
  • Uncertainty analysis
  • Uncertainty quantification
  • 115 Astronomy, Space science
  • Adaptive optics
  • Turbulence profiling
  • Non-Kolmogorov turbulence
  • SLODAR

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