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Published on: February 12, 2013
Modeling low order aberrations in laser guide star adaptive optics systems.
Richard M Clare1, Marcos A van Dam, Antonin H Bouchez
1W. M. Keck Observatory, 65-1120 Mamalahoa Highway, Kamuela, HI 96743, USA.rclare@keck.hawaii.edu
Optics Express
|June 18, 2009
Summary
Laser guide star (LGS) adaptive optics (AO) systems experience aberrations due to sodium layer structure. This study successfully models these aberrations, improving AO performance for ground-based telescopes.
Area of Science:
- Astronomy and Astrophysics
- Optical Engineering
Background:
- Laser guide star (LGS) adaptive optics (AO) systems are crucial for high-resolution ground-based astronomy.
- Quasi-static aberrations arise from the difference between LGS and natural guide star (NGS) wavefront measurements.
- These LGS aberrations are significant, reaching 1200 nm RMS on the Keck II LGS AO system.
Purpose of the Study:
- To develop and validate a model for LGS aberrations in AO systems.
- To characterize LGS aberrations based on various parameters including sodium layer properties and system configurations.
- To estimate LGS aberrations for current and future large telescope projects.
Main Methods:
- Modeling LGS aberrations using data from the Keck II LGS AO system.
- Characterizing aberrations as a function of pupil angle, elevation, sodium structure, uplink tip/tilt error, detector field of view, pixel count, and seeing.
- Extrapolating the model to estimate aberrations for Palomar, Keck I, and Thirty Meter Telescope (TMT) LGS AO systems.
Main Results:
- Successfully modeled LGS aberrations for the Keck II LGS AO system.
- Quantified the impact of different parameters on LGS aberration magnitudes.
- Projected increasing LGS aberrations with larger telescope diameters, with central laser projection offering mitigation.
Conclusions:
- The developed model accurately represents LGS aberrations.
- Understanding and modeling LGS aberrations is essential for optimizing AO system performance.
- The findings provide critical insights for the design and operation of future large-scale LGS AO systems.

