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Experience with artificial neural networks applied in multi-object adaptive optics
The use of artificial Intelligence techniques has become widespread in many fields of
science, due to their ability to learn from real data and adjust to complex models with ease …
science, due to their ability to learn from real data and adjust to complex models with ease …
Fast-convergent algorithm for speckle-based phase retrieval and a design for dynamic wavefront sensing
Wavefront reconstruction is carried out using sequentially recorded speckle patterns and an
iterative phase retrieval method based on wave propagation. A novel fast-convergent …
iterative phase retrieval method based on wave propagation. A novel fast-convergent …
[HTML][HTML] Comparative study of neural network frameworks for the next generation of adaptive optics systems
Many of the next generation of adaptive optics systems on large and extremely large
telescopes require tomographic techniques in order to correct for atmospheric turbulence …
telescopes require tomographic techniques in order to correct for atmospheric turbulence …
Multi‐GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics
Aberrations introduced by the atmospheric turbulence in large telescopes are compensated
using adaptive optics systems, where the use of deformable mirrors and multiple sensors …
using adaptive optics systems, where the use of deformable mirrors and multiple sensors …
Using GPUs to speed up a tomographic reconstructor based on machine learning
The next generation of adaptive optics (AO) systems require tomographic techniques in
order to correct for atmospheric turbulence along lines of sight separated from the guide …
order to correct for atmospheric turbulence along lines of sight separated from the guide …
Real‐time tomographic reconstructor based on convolutional neural networks for solar observation
F Sanchez Lasheras, C Ordóñez… - … Methods in the …, 2020 - Wiley Online Library
Solar observation is the branch of astronomy devoted to the study of the Sun. When the light
wavefront that comes from the Sun penetrates the atmosphere, it suffers some distortions …
wavefront that comes from the Sun penetrates the atmosphere, it suffers some distortions …
[HTML][HTML] Fast image processing for optical metrology utilizing heterogeneous computer architectures
M Reichenbach, R Seidler, B Pfundt, D Fey - Computers & Electrical …, 2014 - Elsevier
Industrial image processing tasks, especially in the domain of optical metrology, are
becoming more and more complex. While in recent years standard PC components were …
becoming more and more complex. While in recent years standard PC components were …
Rapid tomographic reconstruction through GPU-based adaptive optics
CG Gutiérrez, MLS Rodríguez, RÁF Díaz… - Logic Journal of …, 2019 - ieeexplore.ieee.org
Large telescopes have important challenges in the near future. Increasing the size of mirrors
and sensors suppose not only a design issue, but also new computational techniques are …
and sensors suppose not only a design issue, but also new computational techniques are …
Wavefront processor for liquid crystal adaptive optics system based on Graphics Processing Unit
D Li, L Hu, Q Mu, Z Cao, Z Peng, Y Liu, L Yao… - Optics …, 2014 - Elsevier
To process real-time wavefront signal in our liquid crystal adaptive optics system (LCAOS), a
real-time wavefront processor (RTWP) with graphics processing unit (GPU) accelerator is …
real-time wavefront processor (RTWP) with graphics processing unit (GPU) accelerator is …
Tip-tilt mirror control based on FPGA for an adaptive optics system
F Gago, L Rodriguez-Ramos, G Herrera… - 2007 3rd Southern …, 2007 - ieeexplore.ieee.org
This paper describes the development of the tip-tilt mirror control for an adaptive optics
system based on the use of FPGA technology instead of using the traditional approach with …
system based on the use of FPGA technology instead of using the traditional approach with …