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Proceedings Paper

Remembrance of phases past: An autoregressive method for generating realistic atmospheres in simulations
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Paper Abstract

The advent of expensive, large-aperture telescopes and complex adaptive optics (AO) systems has strengthened the need for detailed simulation of such systems from the top of the atmosphere to control algorithms. The credibility of any simulation is underpinned by the quality of the atmosphere model used for introducing phase variations into the incident photons. Hitherto, simulations which incorporate wind layers have relied upon phase screen generation methods that tax the computation and memory capacities of the platforms on which they run. This places limits on parameters of a simulation, such as exposure time or resolution, thus compromising its utility. As aperture sizes and fields of view increase the problem will only get worse. We present an autoregressive method for evolving atmospheric phase that is efficient in its use of computation resources and allows for variability in the power contained in frozen flow or stochastic components of the atmosphere. Users have the flexibility of generating atmosphere datacubes in advance of runs where memory constraints allow to save on computation time or of computing the phase at each time step for long exposure times. Preliminary tests of model atmospheres generated using this method show power spectral density and rms phase in accordance with established metrics for Kolmogorov models.

Paper Details

Date Published: 7 August 2014
PDF: 8 pages
Proc. SPIE 9148, Adaptive Optics Systems IV, 91486W (7 August 2014); doi: 10.1117/12.2057291
Show Author Affiliations
Srikar Srinath, Univ. of California, Santa Cruz (United States)
Lisa A. Poyneer, Lawrence Livermore National Lab. (United States)
Alexander R. Rudy, Univ. of California, Santa Cruz (United States)
S. Mark Ammons, Lawrence Livermore National Lab. (United States)

Published in SPIE Proceedings Vol. 9148:
Adaptive Optics Systems IV
Enrico Marchetti; Laird M. Close; Jean-Pierre Véran, Editor(s)

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