Poster + Paper
29 August 2022 XPipeline: starlight subtraction at scale for MagAO-X
Author Affiliations +
Conference Poster
Abstract
MagAO-X is an extreme adaptive optics (ExAO) instrument for the Magellan Clay 6.5-meter telescope at Las Campanas Observatory in Chile. Its high spatial and temporal resolution can produce data rates of 1 TB/hr or more, including all AO system telemetry and science images. We describe the tools and architecture we use for commanding, telemetry, and science data transmission and storage. The high data volumes require a distributed approach to data processing, and we have developed a pipeline that can scale from a single laptop to dozens of HPC nodes. The same codebase can then be used for both quick-look functionality at the telescope and for post-processing. We present the software and infrastructure we have developed for ExAO data post-processing, and illustrate their use with recently acquired direct-imaging data.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph D. Long, Jared R. Males, Sebastiaan Y. Haffert, Laird M. Close, Katie M. Morzinski, Kyle Van Gorkom, Jennifer Lumbres, Warren Foster, Alexander Hedglen, Maggie Kautz, Alex Rodack, Lauren Schatz, Kelsey Miller, David Doelman, Steven P. Bos, Matthew A. Kenworthy, Frans Snik, and Gilles P. P. L. Otten "XPipeline: starlight subtraction at scale for MagAO-X", Proc. SPIE 12185, Adaptive Optics Systems VIII, 121853P (29 August 2022); https://doi.org/10.1117/12.2628975
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KEYWORDS
Adaptive optics

Control systems

Human-machine interfaces

Telescopes

Real-time computing

Data acquisition

Deformable mirrors

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