Presentation + Paper
10 July 2018 Representative atmospheric turbulence profiles for ESO Paranal
O. J. D. Farley, J. Osborn, R. W. Wilson, T. Butterley, D. Laidlaw, M. Townson, T. Morris, M. Sarazin, F. Derie, M. Le Louarn, A. Chacón, X. Haubois, J. Navarrete, J. Milli
Author Affiliations +
Abstract
The optical turbulence profile is a key parameter in tomographic reconstruction. With interest in tomographic adaptive optics for the next generation of ELTs, turbulence profiling campaigns have produced large quantities of data for observing sites around the world. In order to be useful for Monte Carlo AO simulation, these large datasets must be reduced to a small number of profiles. There is commonly large variation in the structure of the turbulence, therefore statistics such as the median and interquartile range of each altitude bin become less representative as features in the profile are averaged out. Here we present the results of the use of a hierarchical clustering method to reduce the 2018A Stereo-SCIDAR dataset from ESO Paranal, consisting of over 10,000 turbulence profiles measured over 83 nights, to a small set of 18 that represent the most commonly observed profiles.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
O. J. D. Farley, J. Osborn, R. W. Wilson, T. Butterley, D. Laidlaw, M. Townson, T. Morris, M. Sarazin, F. Derie, M. Le Louarn, A. Chacón, X. Haubois, J. Navarrete, and J. Milli "Representative atmospheric turbulence profiles for ESO Paranal", Proc. SPIE 10703, Adaptive Optics Systems VI, 107032E (10 July 2018); https://doi.org/10.1117/12.2312760
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KEYWORDS
Turbulence

Adaptive optics

Atmospheric turbulence

Monte Carlo methods

Computer simulations

Tomography

Databases

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