Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Artificial guide stars for adaptive optics using unmanned aerial vehicles.

Basden, A.G. and Brown, A.M. and Chadwick, P.M. and Clark, P. and Massey, R. (2018) 'Artificial guide stars for adaptive optics using unmanned aerial vehicles.', Monthly notices of the Royal Astronomical Society., 477 (2). pp. 2209-2219.

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.

Item Type:Article
Full text:(AM) Accepted Manuscript
Download PDF
(1316Kb)
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution.
Download PDF
(1405Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/mnras/sty790
Publisher statement:© The Author(s) 2018. Published by Oxford University Press on behalf of The Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Date accepted:20 March 2018
Date deposited:12 April 2018
Date of first online publication:24 March 2018
Date first made open access:No date available

Save or Share this output

Export:
Export
Look up in GoogleScholar