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Bringing the Visible Universe into Focus with Robo-AO

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Laser guide star wavefront sensing for ground-layer adaptive optics on extremely large telescopes.

Richard M Clare¹, Miska Le Louarn, Clementine Béchet

¹European Southern Observatory, Garching bei München, Germany. rclare@eso.org

|February 2, 2011

Summary

Ground-layer adaptive optics (GLAO) using laser guide stars (LGSs) can enhance seeing on the European Extremely Large Telescope. Simulations show optimal performance with specific algorithms and photon counts, highlighting sensitivity to atmospheric turbulence profiles.

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The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

Area of Science:

Astronomy and Astrophysics
Optical Engineering

Background:

Ground-layer adaptive optics (GLAO) are crucial for improving astronomical seeing.
Extremely Large Telescopes (ELTs) require advanced adaptive optics systems.
Shack-Hartmann wavefront sensors (WFSs) with laser guide stars (LGSs) face challenges like spot elongation in off-axis observations.

Purpose of the Study:

To investigate the design considerations for LGS GLAO on the European Extremely Large Telescope.
To optimize WFS parameters, including laser launch location, power, detector, and centroiding algorithms.
To assess the impact of LGS properties and atmospheric conditions on GLAO performance.

Main Methods:

End-to-end numerical simulations were employed to model LGS GLAO performance.
Various laser launch configurations (central vs. side) were evaluated.
Different centroiding algorithms (matched filter, weighted center of gravity) and pixel sampling were tested.
The influence of photon count per subaperture and sodium profile variations was analyzed.

Main Results:

Laser launch location (central vs. side) showed equivalent performance for LGS GLAO.
Matched filter and weighted center of gravity centroiding algorithms demonstrated the most promise.
Approximately 10x10 undersampled pixels were found to be optimal for WFS.
Significant performance gains were achieved with 20-200 photons/subaperture/frame, with diminishing returns beyond that.
LGS GLAO performance was robust to moderate sodium profile variations but sensitive to atmospheric turbulence profiles.

Conclusions:

The study provides key insights for designing effective LGS GLAO systems for ELTs.
Optimal WFS configurations and operational parameters were identified through simulations.
Understanding the sensitivity to atmospheric turbulence is critical for successful implementation of LGS GLAO.