A near-infrared pyramid wavefront sensor for Keck adaptive optics: real-time controller
Abstract
A new real-time control system will be implemented within the Keck II adaptive optics system to support the new near-infrared pyramid wavefront sensor. The new real-time computer has to interface with an existing, very productive adaptive optics system. We discuss our solution to install it in an operational environment without impacting science. This solution is based on an independent SCExAO-based pyramid wavefront sensor realtime processor solution using the hardware interfaces provided by the existing Keck II real-time controller. We introduce the new pyramid real-time controller system design, its expected performance, and the modification of the operational real-time controller to support the pyramid system including interfacing with the existing deformable and tip-tilt mirrors. We describe the integration of the Saphira detector-based camera and the Boston Micromachines kilo-DM in this new architecture. We explain the software architecture and philosophy, the shared memory concept and how the real-time computer uses the power of GPUs for adaptive optics control. We discuss the strengths and weaknesses of this architecture and how it can benefit other projects. The motion control of the devices deployed on the Keck II adaptive optics bench to support the alignment of the light on the sensors is also described. The interfaces, developed to deal with the rest of the Keck telescope systems in the observatory distributed system, are reviewed. Based on this experience, we present which design ideas could have helped us integrate the new system with the previous one and the resultant performance gains.
Additional Information
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). The near-infrared PWS is supported by the National Science Foundation under Grant No. AST-1611623. The fiber injection unit is supported by the Heising-Simons Foundation. The PWS camera was provided by Don Hall as part of his National Science Foundation funding under Grant No. ASF-1106391. We would like to acknowledge the technical contributions of Kevin Tsubota, Sam Ragland, Jason Chin, Jon Chock at WMKO, Eric Warmbier at IfA, Nemamja Jovanovic, Jacques-Robert Delorme at Caltech, the SCExAO team at Subaru and Frantz Martinache at Observatoire de la Cote d'Azur. Finally, we would like to thank Accelerate Diagnostics for providing the first GPU used in the RTC. The W. M. Keck Observatory is operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Mauna Kea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain.Attached Files
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Additional details
- Eprint ID
- 87813
- Resolver ID
- CaltechAUTHORS:20180712-154055689
- NSF
- AST-1611623
- Heising-Simons Foundation
- NSF
- AST-1106391
- W. M. Keck Foundation
- Created
-
2018-07-13Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field
- Caltech groups
- Astronomy Department
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 10703