Laboratory experiments of model-based reinforcement learning for adaptive optics control

J Nousiainen, B Engler, M Kasper… - Journal of …, 2024 - spiedigitallibrary.org
Direct imaging of Earth-like exoplanets is one of the most prominent scientific drivers of the
next generation of ground-based telescopes. Typically, Earth-like exoplanets are located at …

Power of prediction: spatiotemporal Gaussian process modeling for predictive control in slope-based wavefront sensing

J Nousiainen, JP Puska, T Helin… - Journal of …, 2024 - spiedigitallibrary.org
Time delay error is a significant error source in adaptive optics (AO) systems. It arises from
the latency between sensing the wavefront and applying the correction. Predictive control …

Visible extreme adaptive optics on extremely large telescopes: towards detecting oxygen in Proxima Centauri b and analogs

J Fowler, SY Haffert, MAM van Kooten… - … for Detection of …, 2023 - spiedigitallibrary.org
Looking to the future of exo-Earth imaging from the ground, core technology developments
are required in visible Extreme Adaptive Optics (ExAO) to enable the observation of …

Real-time control and data standardization on various telescopes and benches

N Skaf, R Jensen-Clem, A Hunter… - … Optics Systems IX, 2024 - spiedigitallibrary.org
Real-time control (RTC) is pivotal for any Adaptive Optics (AO) system, including high-
contrast imaging of exoplanets and circumstellar environments. It is the brain of the AO …

The future looks dark: improving high contrast imaging with hyper-parameter optimization for data-driven predictive wavefront control

J Fowler, R Jensen-Clem… - … Optics Systems IX, 2024 - spiedigitallibrary.org
The direct imaging and characterization of exoplanets requires extreme adaptive optics
(XAO), achieving exquisite wavefront correction (upwards of 90% Strehl) over a narrow field …

Reinforcement learning-based control law on PAPYRUS: simulations using different atmospheric conditions

R Camelo, J Nousiainen, CT Heritier… - … Optics Systems IX, 2024 - spiedigitallibrary.org
Predictive control laws for Adaptive Optics (AO) using Artificial Intelligence has been recently
explored as an alternative to the classic methods, such as the integrator law. Reinforcement …

Robust supervised learning for closed loop adaptive optics predictive control

R Swanson, J Taylor, M Lamb… - … Optics Systems IX, 2024 - spiedigitallibrary.org
Great progress has been made applying deep learning methods to adaptive optics (AO)
control, focus has largely been on reinforcement learning (RL) methods. While RL is a …

[PDF][PDF] PAPYRUS at OHP: Predictive control with reinforcement learning for improved performance

R Camelo, J Nousiainen, CT Heritier… - Adaptive Optics for …, 2023 - hal.science
In this paper, we implement and study a model-based reinforcement learning (MBRL)
method called Policy Optimization for Adaptive Optics (PO4AO) in numerical simulations. We …

ВИМІРЮВАННЯ НЕЙРОМЕРЕЖЕЮ ХВИЛЬОВОГО ФРОНТУ НА ОСНОВІ ФОРМИ СВІТЛОВОГО ВІДБИТКУ

М ЯРОШЕНКО, П ЯГАНОВ - Herald of Khmelnytskyi …, 2024 - heraldts.khmnu.edu.ua
Визначення хвильового фронту є необхідним для вимірювання та компенсації аберацій
в різних оптичних системах: від телескопів до людського ока. В спеціалізованих …