Real-time control and data standardization on various telescopes and benches
Nour Skaf, Rebecca Jensen-Clem, Aaron Hunter, Olivier Guyon, Vincent, Deo, Phil Hinz, Sylvain Cetre, Vincent Chambouleyron, J. Fowler, Aditya, Sengupa, Maissa Salama, Jared Males, Eden McEwen, Ewan S. Douglas, Kyle Van, Gorkom, Emiel Por, Miles Lucas, Florian Ferreira

TL;DR
This paper discusses the development and deployment of a shared memory-based real-time control (RTC) system for adaptive optics in telescopes, aiming to standardize and simplify on-sky testing and instrument integration.
Contribution
It presents the implementation and evaluation of the CACAO shared memory RTC package across various telescope benches and instruments, including upgrades for the SEAL bench and future plans for larger telescopes.
Findings
CACAO successfully deployed on multiple benches and instruments
Shared memory architecture improves interoperability and testing efficiency
Performance evaluations demonstrate suitability for real-time AO control
Abstract
Real-time control (RTC) is pivotal for any Adaptive Optics (AO) system, including high-contrast imaging of exoplanets and circumstellar environments. It is the brain of the AO system, and what wavefront sensing and control (WFS\&C) techniques need to work with to achieve unprecedented image quality and contrast, ultimately advancing our understanding of exoplanetary systems in the context of high contrast imaging (HCI). Developing WFS\&C algorithms first happens in simulation or a lab before deployment on-sky. The transition to on-sky testing is often challenging due to the different RTCs used. Sharing common RTC standards across labs and telescope instruments would considerably simplify this process. A data architecture based on the interprocess communication method known as shared memory is ideally suited for this purpose. The CACAO package, an example of RTC based on shared memory,…
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Taxonomy
TopicsAstronomy and Astrophysical Research
