Poster + Paper
14 December 2020 Analyzing long-term performance of the Keck-II adaptive optics system
Emily Ramey, Jessica R. Lu, Ruoyi Yin, Steve Robinson, Peter Wizinowich, Sam Ragland, Jim Lyke, Siyao Jia, Shoko Sakai, Abhimat Gautam, Tuan Do, Matthew Hosek Jr., Andrea Ghez, Mark Morris, Eric Becklin, Keith Matthews
Author Affiliations +
Conference Poster
Abstract
We present an analysis of the long-term performance of the W. M. Keck Observatory Laser Guide Star Adaptive Optics (LGS-AO) system and explore factors that influence the overall AO performance most strongly. Astronomical surveys can take years or decades to finish, so it is worthwhile to characterize the AO performance on such timescales in order to better understand future results. Keck Observatory has two of the longest-running LGS-AO systems in use today and represents an excellent test-bed for investigating large amounts of AO data. Here, we use LGS-AO observations of the Galactic Center (GC) from 2005 to 2019, all taken with the NIRC2 instrument on the Keck-II telescope, for our analysis. We combine image metrics with AO telemetry files, MASS/DIMM turbulence profiles, seeing information, and weather data in one cohesive dataset to highlight areas of potential performance improvement and train a simple machine learning algorithm to predict the delivered image quality given current atmospheric conditions. The complete dataset will be released to the public as a resource for testing new predictive control and PSF-reconstruction algorithms.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emily Ramey, Jessica R. Lu, Ruoyi Yin, Steve Robinson, Peter Wizinowich, Sam Ragland, Jim Lyke, Siyao Jia, Shoko Sakai, Abhimat Gautam, Tuan Do, Matthew Hosek Jr., Andrea Ghez, Mark Morris, Eric Becklin, and Keith Matthews "Analyzing long-term performance of the Keck-II adaptive optics system", Proc. SPIE 11448, Adaptive Optics Systems VII, 1144859 (14 December 2020); https://doi.org/10.1117/12.2563252
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KEYWORDS
Adaptive optics

Image quality

Analytical research

Data centers

Keck Observatory

Machine learning

Stars

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