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Control systems and data management for high-power laser facilities
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作者 Scott Feister Kevin Cassou +9 位作者 Stephen Dann Andreas Döpp philippe gauron Anthony J.Gonsalves Archis Joglekar Victoria Marshall Olivier Neveu Hans-Peter Schlenvoigt Matthew J.V.Streeter Charlotte A.J.Palmer 《High Power Laser Science and Engineering》 SCIE CAS CSCD 2023年第5期51-75,共25页
The next generation of high-power lasers enables repetition of experiments at orders of magnitude higher frequency than what was possible using the prior generation.Facilities requiring human intervention between lase... The next generation of high-power lasers enables repetition of experiments at orders of magnitude higher frequency than what was possible using the prior generation.Facilities requiring human intervention between laser repetitions need to adapt in order to keep pace with the new laser technology.A distributed networked control system can enable laboratory-wide automation and feedback control loops.These higher-repetition-rate experiments will create enormous quantities of data.A consistent approach to managing data can increase data accessibility,reduce repetitive data-software development and mitigate poorly organized metadata.An opportunity arises to share knowledge of improvements to control and data infrastructure currently being undertaken.We compare platforms and approaches to state-of-the-art control systems and data management at high-power laser facilities,and we illustrate these topics with case studies from our community. 展开更多
关键词 big data community organization control systems data management feedback loops high-power lasers high repetition rate METADATA STABILIZATION STANDARDS
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