Artificial guide stars for adaptive optics using unmanned aerial vehicles

Abstract

Astronomical adaptive optics systems are used to increase effective telescope resolution. However, they cannot be used to observe the whole sky since one or more natural guide stars of sufficient brightness must be found within the telescope field of view for the AO system to work. Even when laser guide stars are used, natural guide stars are still required to provide a constant position reference. Here, we introduce a technique to overcome this problem by using rotary unmanned aerial vehicles (UAVs) as a platform from which to produce artificial guide stars. We describe the concept, which relies on the UAV being able to measure its precise relative position. We investigate the adaptive optics performance improvements that can be achieved, which in the cases presented here can improve the Strehl ratio by a factor of at least 2 for a 8~m class telescope. We also discuss improvements to this technique, which is relevant to both astronomical and solar adaptive optics systems.

Accepted for publication in MNRAS

References in corpus (6)

• Lucky Imaging: High Angular Resolution Imaging in the Visible from the Ground
• Wide-field adaptive optics performance in cosmological deep fields for multi-object spectroscopy with the European Extremely Large Telescope
• Wave-front error breakdown in LGS MOAO validated on-sky by CANARY
• Monte-Carlo modelling of multi-object adaptive optics performance on the European Extremely Large Telescope
• On the prospects of cross-calibrating the Cherenkov Telescope Array with an airborne calibration platform
• Visible near-diffraction limited lucky imaging with full-sky laser assisted adaptive optics

Cited by in corpus (4)

• Laser Guide Star for Large Segmented-Aperture Space Telescopes, Part I: Implications for Terrestrial Exoplanet Detection and Observatory Stability
• Inter-Calibration of Atmospheric Cherenkov Telescopes with UAV-based Airborne Calibration System
• Measurement of the Optical Turbulence Produced by a Multirotor Unmanned Aerial Vehicle
• Implementation of MUAV as reference source for GLAO systems