摘要自适应光学是一种校正波前误差的技术, 在地基望远镜, 生物成像, 人眼像差校正,
激光通信等领域中已经有了广泛的应用. 与此同时, 深度学习技术的快速发展为各个领域带来了 …

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 …

We present a novel formulation of closed-loop adaptive optics (AO) control as a multi-agent
reinforcement learning (MARL) problem in which the controller is able to learn a non-linear …

The pyramid wave front sensor (PyWFS) has become increasingly popular to use in
adaptive optics (AO) systems due to its high sensitivity. The main drawback of the PyWFS is …

Current and future high-contrast imaging instruments require extreme adaptive optics
systems to reach contrasts necessary to directly imaged exoplanets. Telescope vibrations …

We propose a novel control approach that combines offline supervised learning to address
the challenges posed by non-linear phase reconstruction using unmodulated pyramid …

Focal plane wavefront sensing (FPWFS) is appealing for several reasons. Notably, it offers
high sensitivity and does not suffer from non-common path aberrations (NCPAs). The price …

Context. Adaptive optics (AO) is a technique for improving the resolution of ground-based
telescopes by correcting optical aberrations due to atmospheric turbulence and the …

Advances in the field of deep learning have motivated a flurry of research into the
application of neural networks to wavefront sensing for adaptive optics. This paper gives an …

For natural guide star adaptive optics (AO) systems, pyramid wavefront sensors (PWFSs)
can provide a significant increase in sensitivity over the traditional Shack–Hartmann but at …