Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics

Jesse Cranney; Angus Guihot; Jose De Dona; Francois Rigaut

doi:10.1109/ANZCC53563.2021.9628305

Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics

Jesse Cranney, Angus Guihot, Jose De Dona, Francois Rigaut

Advanced Instrumentation and Technology Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	2021 Australian and New Zealand Control Conference, ANZCC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	24-29
Number of pages	6
ISBN (Electronic)	9781665416504
DOIs	https://doi.org/10.1109/ANZCC53563.2021.9628305
Publication status	Published - 2021
Event	2021 Australian and New Zealand Control Conference, ANZCC 2021 - Gold Coast, Australia Duration: 25 Nov 2021 → 26 Nov 2021

Publication series

Name	2021 Australian and New Zealand Control Conference, ANZCC 2021

Conference

Conference	2021 Australian and New Zealand Control Conference, ANZCC 2021
Country/Territory	Australia
City	Gold Coast
Period	25/11/21 → 26/11/21

Access to Document

10.1109/ANZCC53563.2021.9628305

Cite this

Cranney, J., Guihot, A., De Dona, J., & Rigaut, F. (2021). Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics. In 2021 Australian and New Zealand Control Conference, ANZCC 2021 (pp. 24-29). (2021 Australian and New Zealand Control Conference, ANZCC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANZCC53563.2021.9628305

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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",

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}

Cranney, J, Guihot, A, De Dona, J & Rigaut, F 2021, Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics. in 2021 Australian and New Zealand Control Conference, ANZCC 2021. 2021 Australian and New Zealand Control Conference, ANZCC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 24-29, 2021 Australian and New Zealand Control Conference, ANZCC 2021, Gold Coast, Australia, 25/11/21. https://doi.org/10.1109/ANZCC53563.2021.9628305

Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics. / Cranney, Jesse; Guihot, Angus; De Dona, Jose et al.
2021 Australian and New Zealand Control Conference, ANZCC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 24-29 (2021 Australian and New Zealand Control Conference, ANZCC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics

AU - Cranney, Jesse

AU - Guihot, Angus

AU - De Dona, Jose

AU - Rigaut, Francois

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

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DO - 10.1109/ANZCC53563.2021.9628305

M3 - Conference contribution

T3 - 2021 Australian and New Zealand Control Conference, ANZCC 2021

SP - 24

EP - 29

BT - 2021 Australian and New Zealand Control Conference, ANZCC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 Australian and New Zealand Control Conference, ANZCC 2021

Y2 - 25 November 2021 through 26 November 2021

ER -

Cranney J, Guihot A, De Dona J, Rigaut F. Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics. In 2021 Australian and New Zealand Control Conference, ANZCC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 24-29. (2021 Australian and New Zealand Control Conference, ANZCC 2021). doi: 10.1109/ANZCC53563.2021.9628305

Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics

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