A set of useful functions for Adaptive Optics in Python
Useful tools for Adaptive Optics analysis for the Python Programming Language. If using this code for a publication please cite the aotools paper (M. J. Townson, O. J. D. Farley, G. Orban de Xivry, J. Osborn, and A. P. Reeves, “AOtools: a Python package for adaptive optics modelling and analysis,” Opt. Express 27, 31316-31329 (2019))
python SciPy NumPy matplotlib numba
As everything is just pure python, you don’t really need to “install” at all. To be able to use the tools from anywhere on your system, add the aotools directory to your PYTHONTPATH. Alternatively you can use one of the methods below.
AOtools can be installed in an anaconda environment using:
conda install -c aotools aotools
AOtools can be installed using pip:
pip install aotools
(which may require admin or root privileges)
Alternatively, to install the tools to your system python distribution from source, run:
python setup.py install
(which may require admin or root privileges) from the aotools directory.
Full documentation is hosted by Read the Docs
Issues and Contributions
Have you found a problem with an AO Tool? Is there something you use often that you think should be included? Please have a quick look at the source code and see if you can fix the problem or make an addition. AOtools is a collaboration between many AO scientists across the world to try and make a well tested and reliable library of AO based functions. There isn’t neccessarily a central “developer” to make significant changes, therefore if you think you can help then please get involved, make an issue, clone the code or make a pull request! Feel free to make an issue for discussion.
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