TIPTOP

In order to be able to easily predict the AO performance, we have developed this fast algorithm producing the expected Adaptive Optics (AO see https://en.wikipedia.org/wiki/Adaptive_optics) Point Spread Function (PSF) for any of the existing AO observing modes (Single-Conjugate-AO, Laser-Tomographic-AO, Multi-Conjugate-AO, Ground-Layer-AO), and any atmospheric conditions. This TIPTOP tool takes its roots in an analytical approach, where the simulations are done in the Fourier domain. This allows to reach a very fast computation time (few seconds per PSF with GPU acceleration), and efficiently explore the wide parameter space.

See the documentation here: https://astro-tiptop-services.github.io/astro-tiptop-services/

Please note that the documentation included in the repository at https://tiptop.readthedocs.io will no longer be available in future.

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Credits

Author: Fabio Rossi

License

MIT License

Requires

Python >=3.11

Provides Extra

docs gpu gui

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