Phase Retrieval algorithms in Python
Project description
PRiPy
Phase Retrieval in Python.
This package intends to implement common phase retrieval algorithms for Adaptive Optics (AO), for use in Python-based AO simulators such as COMPASS and CEO. Ideally, these algorithms should have a common and minimal API, in order to accelerate the testing of various algorithms on a given optical system.
TODO
- Sandbox examples (numpy AND cupy compatible),
- CEO examples.
- COMPASS examples,
Early implementation goals:
- FF: Fast and Furious Wavefront Sensing,
- LIFT: LInearised Focal-plane Technique,
- GS: classical Gerchberg Saxton algorithm for phase estimation,
- TAME: Taylor-based Moving horizon Estimation,
Medium-term goals:
- COMPASS API,
- CEO API.
- PyPI for
pip install
Installation
git clone git@github.com/jcranney/pripy.git
cd pripy
pip install .
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