Abstract
AOtools is a Python package that is open-source and aimed at providing tools for adaptive optics users and researchers. We present version 1.0, which contains tools for adaptive optics processing, including analysing data in the pupil plane, images and point spread functions in the focal plane, wavefront sensors, modelling of atmospheric turbulence, physical optical propagation of wavefronts, and conversion between frequently used adaptive optics and astronomical units. The main drivers behind AOtools is that it should be easy to install and use. To achieve this the project features extensive documentation, automated unit testing and is registered on the Python Package Index. AOtools is under continuous active development to expand the features available, and we encourage everyone involved in adaptive optics to become involved and contribute to the project.
Highlights
The Python programming language has become a powerful tool for scientific research [1,2]
We present version 1.0, which contains tools for adaptive optics processing, including analysing data in the pupil plane, images and point spread functions in the focal plane, wavefront sensors, modelling of atmospheric turbulence, physical optical propagation of wavefronts, and conversion between frequently used adaptive optics and astronomical units
AOtools is under continuous active development to expand the features available, and we encourage everyone involved in adaptive optics to become involved and contribute to the project
Summary
The Python programming language (http://www.python.org) has become a powerful tool for scientific research [1,2]. Currently there is no freely available, open-source tool which implements a library for use in either simulation or AO data analysis in Python. For the project to be successful it is essential that the AOtools package is reliable, easy to install, and easy to use. This mandates the use of automation tools to ensure documentation is up-to-date and that the core functionality of the code is working as expected. To this end infrastructure has been put in place to make the package “pip” installable, with minimal external dependencies. It is envisaged that this project will be useful beyond the realm of astronomical AO, including microscopy [14,15] and free space optical communications [16]
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