Sensitivity improvements for Shack-Hartmann wavefront sensors using total variation minimization

Basden, A.G.; Morris, T.J.; Gratadour, D.; Gendron, E.

doi:10.1093/mnras/stv617

Sensitivity improvements for Shack-Hartmann wavefront sensors using total variation minimization

Basden, A.G.; Morris, T.J.; Gratadour, D.; Gendron, E.

Authors

Dr Alastair Basden a.g.basden@durham.ac.uk
Hpc Technical Manager

Professor Timothy Morris t.j.morris@durham.ac.uk
Professor

D. Gratadour

E. Gendron

Abstract

We investigate the improvements in Shack–Hartmann wavefront sensor image processing that can be realized using total variation minimization techniques to remove noise from these images. We perform Monte Carlo simulation to demonstrate that at certain signal-to-noise levels, sensitivity improvements of up to one astronomical magnitude can be realized. We also present on-sky measurements taken with the CANARY adaptive optics system that demonstrate an improvement in performance when this technique is employed, and show that this algorithm can be implemented in a real-time control system. We conclude that total variation minimization can lead to improvements in sensitivity of up to one astronomical magnitude when used with adaptive optics systems.

Citation

Basden, A., Morris, T., Gratadour, D., & Gendron, E. (2015). Sensitivity improvements for Shack-Hartmann wavefront sensors using total variation minimization. Monthly Notices of the Royal Astronomical Society, 449(4), 3537-3542. https://doi.org/10.1093/mnras/stv617

Journal Article Type	Article
Acceptance Date	Mar 18, 2015
Online Publication Date	Apr 9, 2015
Publication Date	Jun 1, 2015
Deposit Date	Jun 26, 2015
Publicly Available Date	Jun 29, 2015
Journal	Monthly Notices of the Royal Astronomical Society
Print ISSN	0035-8711
Electronic ISSN	1365-2966
Publisher	Royal Astronomical Society
Peer Reviewed	Peer Reviewed
Volume	449
Issue	4
Pages	3537-3542
DOI	https://doi.org/10.1093/mnras/stv617
Keywords	Instrumentation: adaptive optics, Instrumentation: detectors, Methods: numerical, Methods: statistical.

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Copyright Statement
This article has been accepted for publication in Monthly notices of the Royal Astronomical Society. ©: 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.