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Published April 10, 2008 | public
Journal Article Open

Atmospheric turbulence profiling with SLODAR using multiple adaptive optics wavefront sensors

Abstract

The slope detection and ranging (SLODAR) method recovers atmospheric turbulence profiles from time averaged spatial cross correlations of wavefront slopes measured by Shack-Hartmann wavefront sensors. The Palomar multiple guide star unit (MGSU) was set up to test tomographic multiple guide star adaptive optics and provided an ideal test bed for SLODAR turbulence altitude profiling. We present the data reduction methods and SLODAR results from MGSU observations made in 2006. Wind profiling is also performed using delayed wavefront cross correlations along with SLODAR analysis. The wind profiling analysis is shown to improve the height resolution of the SLODAR method and in addition gives the wind velocities of the turbulent layers.

Additional Information

© 2008 Optical Society of America. Received 4 September 2007; revised 20 December 2007; accepted 25 January 2008; posted 31 January 2008 (Doc. ID 87084); published 4 April 2008. This work was supported by the Thirty Meter Telescope (TMT) project. The MGSU data were provided by V. Velur (Caltech) and R.C. Flicker (Keck, TMT), and the Palomar AO team. The MASS data were provided by the TMT site-selection team. We also gratefully acknowledge the support of the TMT partner institutions. They are the Association of Canadian Universities for Research in Astronomy (ACURA), the California Institute of Technology, and the University of California. This work was supported as well by the Gordon and Betty Moore Foundation, the Canada Foundation for Innovation, the Ontario Ministry of Research and Innovation, the National Research Council of Canada, the Natural Sciences and Engineering Research Council of Canada, the British Columbia Knowledge Development Fund, the Association of Universities for Research in Astronomy (AURA), and the U.S. National Science Foundation. The Palomar MGSU was developed with support from the National Science Foundation (grant AST-0096928, R. Dekany, PI), Caltech Optical Observatories, and the TMT Project.

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August 22, 2023
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