Code for Digital Twin of Atmospheric Turbulence Phase Screens Based On Deep Neural Networks
Peng Jia
This is a complied version of digital twin of atmospheric turbulence phase screens based on deep neural networks. It can only generate phase screens with 128*128 pixels. If you need some phase screen with specified properties, feel free to contact the corresponding author: Peng Jia from Taiyuan University of Techonology through his email: robinmartin20@gmail.com or robinmartin@126.com.
Files
IFATS_code.zip
285.53 MB
Paper Information
Paper Title:
Digital Twin of Atmospheric Turbulence Phase Screens Based On Deep Neural Networks
Publication:
Optics Express
Identifier
cstr:
11379.11.101110
DOI:
10.12149/101110
VO Identifier:
ivo://China-VO/paperdata/OE/jiapeng2022/101110
Publication date:
2022-05-24
Citation Guidelines
Peng Jia et al. 2022. Code for Digital Twin of Atmospheric Turbulence Phase Screens Based On Deep Neural Networks. Version 1.0. https://doi.org/10.12149/101110
@misc{10.12149/101110,
doi = {10.12149/101110},
url = {https://doi.org/10.12149/101110},
author = {Peng Jia},
title = {Code for Digital Twin of Atmospheric Turbulence Phase Screens Based On Deep Neural Networks},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2022}
}
doi = {10.12149/101110},
url = {https://doi.org/10.12149/101110},
author = {Peng Jia},
title = {Code for Digital Twin of Atmospheric Turbulence Phase Screens Based On Deep Neural Networks},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2022}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2022-05-23