wavefront-sensing

Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...

Python package for high-performance spatial light modulator (SLM) control and holography. Supports features from aberration-corrected 3D point clouds to automated Fourier-domain calibrations.

This is the open source repository for our SIGGRAPH 2018 paper "Megapixel Adaptive Optics: Towards Correcting Large-scale Distortions in Computational Cameras".

Tools for Optical Simulations

Python tools for JWST Wavefront Sensing Software

Phase diversity method for atmospheric wavefront sensing from a pair of images (in focus and out of focus).

reference implementation of contemporary "forward-reverse" or "iterative transform" phase retrieval algorithms

A comprehensive sensor library for Shack-Hartmann Wavefront Sensors

Graphical user interface for wavefront measurement using spatial-carrier fringe-pattern analysis.

Orthogonal polynomials for optics analysis

Implements a diffuser-based wavefront sensor

End-to-end AO pipeline: SH-WFS centroiding (127x C speedup) → CNN/MMSE reconstruction (Strehl 0.9987) → LQG closed-loop control → SLODAR turbulence profiling | BAH 2026 Challenge #9

Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)

Software for Nature Photonics publication on Wavefront shaping in complex media with a 350 kHz modulator via a 1D-to-2D transform

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Python toolkit for synchronized SLM pupil segmentation and image acquisition.

ResNet based CNN model for WFS developed by Pranjal

Interactive adaptive-optics wavefront laboratory for exploring aberrations, wavefront sensing and correction through reproducible simulations, parameter controls and scientific visualization relevant to astronomical instrumentation.

Utility functions for image-based phase retrieval