Presentation
6 October 2023 Demonstration of linear and neural net closed-loop control with a photonic lantern focal-plane wavefront sensor
Author Affiliations +
Abstract
Ground-based exoplanet science relies on the correction of aberrations induced by both atmosphere and instrument. However, current pupil-plane adaptive optics faces two major challenges: non-common-path aberrations and petaling modes. One solution is to add a wavefront sensor which operates in the focal plane, such as a photonic lantern (PL), a waveguide that efficiently couples aberrated light into single-mode fibers. We present a first experimental verification of real-time closed-loop control with the photonic lantern wavefront sensor (PLWFS), using a linear phase-retrieval algorithm, and on-sky demonstrations. We also discuss non-linear reconstruction using a neural network, and consider potentials for spectrally dispersed sensing.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan Lin, Barnaby Norris, Olivier Guyon, Michael Fitzgerald, Yinzi Xin, Yoo Jung Kim, Sébastien Vievard, Julien Lozi, Sergio Leon-Saval, Christopher Betters, Steph Sallum, Pradip Gatkine, Dimitri Mawet, and Nemanja Jovanovic "Demonstration of linear and neural net closed-loop control with a photonic lantern focal-plane wavefront sensor", Proc. SPIE 12680, Techniques and Instrumentation for Detection of Exoplanets XI, 126800L (6 October 2023); https://doi.org/10.1117/12.2677057
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KEYWORDS
Pupil aberrations

Wavefront aberrations

Wavefront sensors

Adaptive optics

Neural networks

Equipment

Wavefront errors

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