The CACAO real-time computer for adaptive optics: updates, performance, and development plans

Vincent Deo; Olivier Guyon; Jared R. Males; Kyohoon Ahn; Brian Carcich; Sylvain Cetre; Florian Ferreira; Damien Gratadour; Janis Hagelberg; Rebecca Jensen-Clem; Joseph Long; Julien Lozi; Miles Lucas; Katie Morzinski; Bartomeu Pou Mulet; Sanford Selznik; Arnaud Sevin; Nour Skaf; Sébastien Vievard

doi:10.1117/12.3020601

28 August 2024 The CACAO real-time computer for adaptive optics: updates, performance, and development plans

Vincent Deo, Olivier Guyon, Jared R. Males, Kyohoon Ahn, Brian Carcich, Sylvain Cetre, Florian Ferreira, Damien Gratadour, Janis Hagelberg, Rebecca Jensen-Clem, Joseph Long, Julien Lozi, Miles Lucas, Katie Morzinski, Bartomeu Pou Mulet, Sanford Selznik, Arnaud Sevin, Nour Skaf, Sébastien Vievard

Author Affiliations +

Proceedings Volume 13097, Adaptive Optics Systems IX; 130974O (2024) https://doi.org/10.1117/12.3020601
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Conference Poster

Abstract

The Compute and Control for Adaptive Optics (CACAO) is a free and open-source real-time library for adaptive optics (AO), initially developed for the operation of the 1200+ mode AO loop of Subaru/SCExAO. The scope has expanded since then, through refactorings, the addition of numerous features (predictive control, machine learning), and a substantial improvement of our understanding and configuration of the underlying real-time Linux distribution. We now witness the adoption of the package at multiple facilities, using a variety of cameras and WFSs: non-linear curvature, Shack-Hartmann, Photonic lanterns, and of course the pyWFS. At Subaru, CACAO is the core of the AO3K RTC, which supports legacy NGS and LGS mode, as well as the new high-order wavefront sensors coupled to an ALPAO 3224 deformable mirror. We present developments in algorithms -- bindings for machine learning algorithms, real-time configuration tools -- and user interface tools added in the past few years. We show performance benchmarks on the SCExAO and AO3K systems. We present our future plans to affirm CACAO as the go-to free, open-source RTC toolkit for real-time pipelines in the academic world.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Vincent Deo, Olivier Guyon, Jared R. Males, Kyohoon Ahn, Brian Carcich, Sylvain Cetre, Florian Ferreira, Damien Gratadour, Janis Hagelberg, Rebecca Jensen-Clem, Joseph Long, Julien Lozi, Miles Lucas, Katie Morzinski, Bartomeu Pou Mulet, Sanford Selznik, Arnaud Sevin, Nour Skaf, and Sébastien Vievard "The CACAO real-time computer for adaptive optics: updates, performance, and development plans", Proc. SPIE 13097, Adaptive Optics Systems IX, 130974O (28 August 2024); https://doi.org/10.1117/12.3020601

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