MALES-project/SpeckleCn2Profiler
:satellite: :cyclone: A platform to use speckle patterns to describe atmospheric turbulence
This project helps aerospace engineers and atmospheric scientists accurately measure atmospheric turbulence, which is crucial for reliable optical satellite communications. By analyzing single-star SCIDAR images, it uses machine learning to output detailed profiles of turbulence strength and related parameters. This allows for better understanding and compensation of atmospheric effects on optical links.
Use this if you need to precisely measure atmospheric turbulence profiles from SCIDAR observations for applications in optical communications, adaptive optics, or astronomical site characterization.
Not ideal if you do not have access to single-star SCIDAR image data or if your primary need is not atmospheric turbulence profiling.
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8
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1
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 20, 2025
Commits (30d)
0
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