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Optical Wavefront Reconstruction: Theory and Numerical Methods [PDF]

open access: yesSIAM Review, 2002
Summary: Optical wavefront reconstruction algorithms played a central role in the effort to identify gross manufacturing errors in NASA's Hubble Space Telescope (HST). NASA's success with reconstruction algorithms on the HST has led to an effort to develop software that can aid and in some cases replace complicated, expensive, and error-prone hardware.
Luke, D. Russell   +2 more
openaire   +4 more sources

Fourier transform-wavefront reconstruction for the pyramid wavefront sensor [PDF]

open access: yes1st AO4ELT conference - Adaptive Optics for Extremely Large Telescopes, 2010
The application of Fourier-transform reconstruction techniques to the pyramid wavefront sensor has been investigated. A preliminary study based on end-to-end simulations of an adaptive optics system with ≈40x40 subapertures and actuators shows that the performance of the Fourier-transform reconstructor (FTR) is of the same order of magnitude than the ...
Quirós-Pacheco, Fernando   +2 more
openaire   +3 more sources

Study on Aberration Correction of Adaptive Optics Based on Convolutional Neural Network

open access: yesPhotonics, 2021
The existence of aberrations has always been an important limiting factor in the imaging field. Especially in optical microscopy imaging, the accumulated aberration of the optical system and the biological samples distorts the wavefront on the focal ...
Jin Li   +6 more
doaj   +1 more source

Simulation Analysis of an Atmospheric Turbulence Wavefront Measurement System

open access: yesPhotonics
In this paper, a turbulent wavefront measurement model based on the Hartmann system structure is proposed. The maximum recognizable mode number of different lens units is discussed, and the influence of different lens array arrangements on the accuracy ...
Gangyu Wang   +6 more
doaj   +1 more source

Higher-resolution wavefront sensing based on sub-wavefront information extraction

open access: yesFrontiers in Physics
The limited spatial sampling rates of conventional Shack–Hartmann wavefront sensors (SHWFSs) make them unable to sense higher-order wavefront distortion.
Hongli Guan   +25 more
doaj   +1 more source

A Single Far-Field Deep Learning Adaptive Optics System Based on Four-Quadrant Discrete Phase Modulation

open access: yesSensors, 2020
In adaptive optics (AO), multiple different incident wavefronts correspond to a same far-field intensity distribution, which leads to a many-to-one mapping.
Xuejing Qiu   +4 more
doaj   +1 more source

Breaking Boundaries: A Universal Wavefront Reconstruction Approach for High-resolution Solar Imaging

open access: yesThe Astrophysical Journal Letters
This Letter proposes a universal wavefront reconstruction approach based on a coupled data set and neural network, aiming to overcome the limitations of current algorithms in terms of universality and wavefront sensing accuracy for variable imaging ...
Xinlan Ge   +6 more
doaj   +1 more source

Underwater Turbulence Detection Using Gated Wavefront Sensing Technique

open access: yesSensors, 2018
Laser sensing has been applied in various underwater applications, ranging from underwater detection to laser underwater communications. However, there are several great challenges when profiling underwater turbulence effects.
Ying Bi   +4 more
doaj   +1 more source

Experimental Study on Wavefront Distortion Correction in Atmospheric Turbulence Using Zernike-Wavelet Hybrid Basis

open access: yesApplied Sciences
In adaptive optics systems, most methods rely on reconstruction techniques centered on regional or global orthogonal bases, which struggle to accommodate the multi-scale characteristics of atmospheric turbulence wavefronts.
Jingyuan Liang   +3 more
doaj   +1 more source

Wavefront reconstruction with artificial neural networks

open access: yesOptics Express, 2006
In this work, a new approach, a method using artificial neural networks was applied to reconstruct the wavefront. First, the optimal structure of neural networks was found. Then, the networks were trained on both noise-free and noisy spot patterns.
Hong, Guo   +3 more
openaire   +2 more sources

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