pripy 0.1.1

Phase Retrieval algorithms in Python

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 [e-mail]/jcranney/pripy.git
cd pripy
pip install .