aotools 1.0.8

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))

Required libraries

python
SciPy
NumPy
matplotlib
numba

Installation

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 PYTHONPATH. Alternatively you can use one of the methods below.

Anaconda

AOtools can be installed in an anaconda environment using:

conda install -c aotools aotools

Pip

AOtools can be installed using pip:

pip install aotools

(which may require admin or root privileges)

From Source

Alternatively, to install the tools to your system python distribution from source, run:

pip install .

(which may require admin or root privileges) from the aotools directory.

Documentation

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.

Usage Stats

Pip

Anaconda