The AOLI low-order non-linear curvature wavefront sensor: a method for high sensitivity wavefront reconstruction
Jonathan Crass, Peter Aisher, Bruno Femenia, David L. King, Craig D., Mackay, Rafael Rebolo-L\'opez, Lucas Labadie, Antonio P\'erez Garrido, Marc, Balcells, Anastasio D\'iaz S\'anchez, Jes\'us Jimenez Fuensalida, Roberto L., Lopez, Alejandro Oscoz, Jorge A. P\'erez Prieto

TL;DR
This paper introduces a novel low-order non-linear curvature wavefront sensor for the AOLI adaptive optics system, enhancing high sensitivity wavefront reconstruction for ground-based telescopes.
Contribution
It presents the design, simulation, and optimization of a new wavefront sensor and reconstruction algorithms tailored for high-sensitivity adaptive optics in astronomy.
Findings
The sensor design achieves high sensitivity in simulations.
Reconstruction algorithms improve wavefront accuracy.
System demonstrates potential for near diffraction-limited imaging.
Abstract
The Adaptive Optics Lucky Imager (AOLI) is a new instrument under development to demonstrate near diffraction limited imaging in the visible on large ground-based telescopes. We present the adaptive optics system being designed for the instrument comprising a large stroke deformable mirror, fixed component non-linear curvature wavefront sensor and photon-counting EMCCD detectors. We describe the optical design of the wavefront sensor where two photoncounting CCDs provide a total of four reference images. Simulations of the optical characteristics of the system are discussed, with their relevance to low and high order AO systems. The development and optimisation of high-speed wavefront reconstruction algorithms are presented. Finally we discuss the results of simulations to demonstrate the sensitivity of the system.
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