Real-time adaptive optics control with a high level programming language

TL;DR

This paper demonstrates a real-time adaptive optics control system implemented in Julia, a high-level language, enabling efficient, low-latency control with support for multiple cameras and distributed computing, reducing development effort.

Contribution

It introduces a novel approach using Julia for real-time adaptive optics control, eliminating the need for re-writing in lower-level languages and supporting advanced features.

Findings

Achieved sub-millisecond latency control in real-time adaptive optics

Supported multiple cameras and distributed computing seamlessly

Facilitated easy interfacing with other programming languages

Abstract

Adaptive optics systems are usually prototyped in a convenient but slow language like MATLAB or Python, and then re-written from scratch using high-performance C/C++ to perform real-time control. This duplication of effort adds costs and slows the experimentation process. We present instead a technical demonstration of performing real time, sub-millisecond latency control with an adaptive optics system using the high-level Julia programming language. This open-source software demonstrates support for multiple cameras, pixel streaming, and network-transparency distributed computing. Furthermore, it is easy to interface it with other programming languages as desired.