We investigate the improvements in Shack-Hartmann wavefront sensor image processing that can be realised using total variation minimisation 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 realised. 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 minimisation can lead to improvements in sensitivity of up to one astronomical magnitude when used with adaptive optics systems.
@article{arxiv.1503.06043,
title = {Sensitivity improvements for Shack-Hartmann wavefront sensors using total variation minimisation},
author = {Alastair Basden},
journal= {arXiv preprint arXiv:1503.06043},
year = {2015}
}
Comments
Accepted for publication in MNRAS. Second version has type fixed (now -> not), 3rd version has corrected author list