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

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

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Authors

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.
Public URL https://durham-repository.worktribe.com/output/1405701

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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.






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