Automated control and optimization of laser-driven ion acceleration

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2FCZ______%3A_____%2F23%3AN0000039" target="_blank" >RIV/CZ______:_____/23:N0000039 - isvavai.cz</a>
Result on the web
<a href="https://www.cambridge.org/core/journals/high-power-laser-science-and-engineering/article/automated-control-and-optimization-of-laserdriven-ion-acceleration/067E7D12CC7461E51E51B426BC7BDC40" target="_blank" >https://www.cambridge.org/core/journals/high-power-laser-science-and-engineering/article/automated-control-and-optimization-of-laserdriven-ion-acceleration/067E7D12CC7461E51E51B426BC7BDC40</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1017/hpl.2023.23" target="_blank" >10.1017/hpl.2023.23</a>

Result language
angličtina
Original language name
Automated control and optimization 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 optimization 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 optimization. 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 optimization 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 optimization of laser-driven proton beams is a crucial step towards deeper physical insight and the construction of future radiation sources.
Czech name
—
Czech description
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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)

Project
<a href="/en/project/EF16_019%2F0000789" target="_blank" >EF16_019/0000789: Advanced research using high intensity laser produced photons and particles</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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