Control systems and data management for high-power laser facilities

Scott Feister; Kevin Cassou; 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

doi:10.1017/hpl.2023.49

Control systems and data management for high-power laser facilities

Scott Feister^*, Kevin Cassou, 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^*

^*Corresponding author for this work

School of Mathematics and Physics

Research output: Contribution to journal › Review article › peer-review

8 Citations (Scopus)

81 Downloads (Pure)

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.

Original language	English
Article number	e56
Number of pages	25
Journal	High Power Laser Science and Engineering
Volume	11
DOIs	https://doi.org/10.1017/hpl.2023.49
Publication status	Published - 15 Jun 2023

Keywords

big data
community organization
Control systems
data management
feedback loops
high-power lasers
high-repetition rate
metadata
stabilisation
standards

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Nuclear and High Energy Physics
Nuclear Energy and Engineering

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10.1017/hpl.2023.49Licence: CC BY

Control systems and data management for high-power laser facilities
Copyright 2023 The Authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 3.88 MBLicence: CC BY

Cite this

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title = "Control systems and data management for high-power laser facilities",

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.",

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author = "Scott Feister and Kevin Cassou and Stephen Dann and Andreas D{\"o}pp and Philippe Gauron and Gonsalves, {Anthony J.} and Archis Joglekar and Victoria Marshall and Olivier Neveu and Hans-Peter Schlenvoigt and Streeter, {Matthew J.V.} and Palmer, {Charlotte A. J.}",

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doi = "10.1017/hpl.2023.49",

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TY - JOUR

T1 - Control systems and data management for high-power laser facilities

AU - Feister, Scott

AU - Cassou, Kevin

AU - Dann, Stephen

AU - Döpp, Andreas

AU - Gauron, Philippe

AU - Gonsalves, Anthony J.

AU - Joglekar, Archis

AU - Marshall, Victoria

AU - Neveu, Olivier

AU - Schlenvoigt, Hans-Peter

AU - Streeter, Matthew J.V.

AU - Palmer, Charlotte A. J.

PY - 2023/6/15

Y1 - 2023/6/15

N2 - 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.

AB - 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.

KW - big data

KW - community organization

KW - Control systems

KW - data management

KW - feedback loops

KW - high-power lasers

KW - high-repetition rate

KW - metadata

KW - stabilisation

KW - standards

U2 - 10.1017/hpl.2023.49

DO - 10.1017/hpl.2023.49

M3 - Review article

AN - SCOPUS:85163671042

SN - 2095-4719

VL - 11

JO - High Power Laser Science and Engineering

JF - High Power Laser Science and Engineering

M1 - e56

ER -

Control systems and data management for high-power laser facilities

Abstract

Keywords

ASJC Scopus subject areas

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