[PDF][PDF] 基于机器学习的激光自适应光学技术研究进展

程涛, 郭思成, 王宁, 赵孟孟, 王帅… - Chinese Journal of …, 2023 - researching.cn
摘要高功率激光是自适应光学的重要应用领域, 通过控制高功率激光系统实现高光束质量的激光
输出是激光自适应光学技术的一项重要目标. 自适应光学主要是利用波前传感器和波前校正器来 …

Toward on-sky adaptive optics control using reinforcement learning-model-based policy optimization for adaptive optics

J Nousiainen, C Rajani, M Kasper, T Helin… - Astronomy & …, 2022 - aanda.org
Context. The direct imaging of potentially habitable exoplanets is one prime science case for
the next generation of high contrast imaging instruments on ground-based, extremely large …

Adaptive optics control using model-based reinforcement learning

J Nousiainen, C Rajani, M Kasper, T Helin - Optics Express, 2021 - opg.optica.org
Reinforcement learning (RL) presents a new approach for controlling adaptive optics (AO)
systems for Astronomy. It promises to effectively cope with some aspects often hampering …

Tempestas ex machina: a review of machine learning methods for wavefront control

J Fowler, R Landman - Techniques and Instrumentation for …, 2023 - spiedigitallibrary.org
As we look to the next generation of adaptive optics systems, now is the time to develop and
explore the technologies that will allow us to image rocky Earth-like planets; wavefront …

Self-optimizing adaptive optics control with reinforcement learning for high-contrast imaging

R Landman, SY Haffert… - Journal of …, 2021 - spiedigitallibrary.org
Current and future high-contrast imaging instruments require extreme adaptive optics
systems to reach contrasts necessary to directly imaged exoplanets. Telescope vibrations …

Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics

B Pou, J Smith, E Quinones, M Martin, D Gratadour - Optics Express, 2024 - opg.optica.org
We propose a novel control approach that combines offline supervised learning to address
the challenges posed by non-linear phase reconstruction using unmodulated pyramid …

Model-free reinforcement learning with a non-linear reconstructor for closed-loop adaptive optics control with a pyramid wavefront sensor

B Pou, J Smith, E Quinones, M Martin… - … Optics Systems VIII, 2022 - spiedigitallibrary.org
We present a model-free reinforcement learning (RL) predictive model with a supervised
learning non-linear reconstructor for adaptive optics (AO) control with a pyramid wavefront …

Advances in model-based reinforcement learning for adaptive optics control

J Nousiainen, B Engler, M Kasper… - … Optics Systems VIII, 2022 - spiedigitallibrary.org
Direct imaging of Earth-like exoplanets is one of the significant scientific drivers of the next
generation of ground-based telescopes. Typically, Earth-like exoplanets are located at tiny …

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 …

Deep learning for optical tweezers

A Ciarlo, DB Ciriza, M Selin, OM Maragò, A Sasso… - …, 2024 - degruyter.com
Optical tweezers exploit light–matter interactions to trap particles ranging from single atoms
to micrometer-sized eukaryotic cells. For this reason, optical tweezers are a ubiquitous tool …