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Automated control and optimisation of laser-driven ion acceleration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F23%3A00366267" target="_blank" >RIV/68407700:21340/23:00366267 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1017/hpl.2023.23" target="_blank" >https://doi.org/10.1017/hpl.2023.23</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1017/hpl.2023.23" target="_blank" >10.1017/hpl.2023.23</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automated control and optimisation of laser-driven ion acceleration

  • Original language description

    The interaction of relativistically intense lasers with opaque targets represents a highly non-linear, multi-dimensional parameter space. This limits the utility of sequential 1D scanning of experimental parameters for the optimisation of secondary radiation, although to-date this has been the accepted methodology due to low data acquisition rates. High repetition-rate (HRR) lasers augmented by machine learning present a valuable opportunity for efficient source optimisation. Here, an automated, HRR-compatible system produced high fidelity parameter scans, revealing the influence of laser intensity on target pre-heating and proton generation. A closed-loop Bayesian optimisation of maximum proton energy, through control of the laser wavefront and target position, produced proton beams with equivalent maximum energy to manually-optimized laser pulses but using only 60% of the laser energy. This demonstration of automated optimisation of laser-driven proton beams is a crucial step towards deeper physical insight and the construction of future radiation sources. 2023 Cambridge University Press. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10306 - Optics (including laser optics and quantum optics)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    High Power Laser Science and Engineering

  • ISSN

    2095-4719

  • e-ISSN

    2052-3289

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    March

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000988440000001

  • EID of the result in the Scopus database

    2-s2.0-85151549946