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  • License: MIT License
  • Author: Fabio Rossi
  • Requires: Python >=3.9

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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://tiptop.readthedocs.io

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  • License: MIT License
  • Author: Fabio Rossi
  • Requires: Python >=3.9

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1.3.12

1.3.11

1.3.10

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

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1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.2

1.2.1

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