@inproceedings{5188b68380f840b7b56686a96efbb857,
title = "Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics",
abstract = "In this work we propose to explore and optimise a novel concept in adaptive optics wavefront sensing. The notion being investigated is that of super-resolution, which is aimed at increasing spatial resolution in tomographic adaptive optics by introducing diversity in the alignment of different wavefront sensors. The optimisation of super-resolution requires efficient computation of the wavefront estimation error. A model of the wavefront sensor compatible with super-resolution is proposed in this paper, together with a suitable cost function to optimise the super-resolution geometry. We provide initial optimisation results verified by end-to-end simulations. In future work we will investigate the parallelisation of the optimisation routine, and alternative optimisation methods.",
author = "Jesse Cranney and Angus Guihot and \{De Dona\}, Jose and Francois Rigaut",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Australian and New Zealand Control Conference, ANZCC 2021 ; Conference date: 25-11-2021 Through 26-11-2021",
year = "2021",
doi = "10.1109/ANZCC53563.2021.9628305",
language = "English",
series = "2021 Australian and New Zealand Control Conference, ANZCC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "24--29",
booktitle = "2021 Australian and New Zealand Control Conference, ANZCC 2021",
address = "United States",
}