Skip to Main content Skip to Navigation
Journal articles

Statistics of turbulence parameters at Maunakea using the multiple wavefront sensor data of RAVEN

Abstract : Prior statistical knowledge of atmospheric turbulence is essential for designing, optimizing and evaluating tomographic adaptive optics systems. We present the statistics of the vertical profiles of C_N^2 and the outer scale at Maunakea estimated using a SLOpe Detection And Ranging (SLODAR) method from on-sky telemetry taken by a multi-object adaptive optics (MOAO) demonstrator, called RAVEN, on the Subaru telescope. In our SLODAR method, the profiles are estimated by fitting the theoretical autocorrelations and cross-correlations of measurements from multiple Shack-Haltmann wavefront sensors to the observed correlations via the non-linear Levenberg-Marquardt Algorithm (LMA). The analytical derivatives of the spatial phase structure function with respect to its parameters for the LMA are also developed. From a total of 12 nights in the summer season, a large ground C_N^2 fraction of 54.3 per cent is found, with median estimated seeing of 0.460 arcsec. This median seeing value is below the results for Maunakea from the literature (0.6-0.7 arcsec). The average C_N^2 profile is in good agreement with results from the literature, except for the ground layer. The median value of the outer scale is 25.5 m and the outer scale is larger at higher altitudes; these trends of the outer scale are consistent with findings in the literature.
Complete list of metadata
Contributor : Nathalie POTHIER Connect in order to contact the contributor
Submitted on : Thursday, May 12, 2022 - 4:38:37 PM
Last modification on : Saturday, May 14, 2022 - 3:03:54 AM


Publisher files allowed on an open archive




yoshito H. Ono, Carlos M. Correia, Dave R. Andersen, Olivier Lardière, Shin Oya, et al.. Statistics of turbulence parameters at Maunakea using the multiple wavefront sensor data of RAVEN. Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P - Oxford Open Option A, 2017, 465, pp.4931-4941. ⟨10.1093/mnras/stw3083⟩. ⟨insu-03666205⟩



Record views


Files downloads