S. Feister, K. Cassou, S. Dann, A. Döpp, P. Gauron, A. Gonsalves, A. Joglekar, V. Marshall, O. Neveu, H. Schlenvoigt, M. Streeter, C. Palmer
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引用次数: 0
Abstract
Abstract 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.
期刊介绍:
High Power Laser Science and Engineering (HPLaser) is an international, peer-reviewed open access journal which focuses on all aspects of high power laser science and engineering.
HPLaser publishes research that seeks to uncover the underlying science and engineering in the fields of high energy density physics, high power lasers, advanced laser technology and applications and laser components. Topics covered include laser-plasma interaction, ultra-intense ultra-short pulse laser interaction with matter, attosecond physics, laser design, modelling and optimization, laser amplifiers, nonlinear optics, laser engineering, optical materials, optical devices, fiber lasers, diode-pumped solid state lasers and excimer lasers.