Journal Article PUBDB-2023-01927

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Tuning Curves for a Laser-Plasma Accelerator

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2023
American Physical Society College Park, MD

Physical review accelerators and beams 26(7), 071302 () [10.1103/PhysRevAccelBeams.26.071302]
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Abstract: Applications of laser-plasma accelerators (LPA) require independent control of electron beam parameters. However, due to the complex coupling of the many variables governing the laser-plasma interaction, precisely tuning these parameters based on simple scalings is often impossible or at least suboptimal. Here, we apply multiobjective Bayesian optimization to derive optimal tuning curves for LPAs, both in simulations and experiments. For electron energies between 150 and 250 MeV, we demonstrate tuning of the charge over a range of nearly 100 pC, while preserving optimal beam loading conditions with energy spreads below 5%. The derived tuning curves can explain the sometimes counterintuitive interplay between laser and plasma control variables that is necessary to find the best trade-off between competing beam properties.

Classification:

Contributing Institute(s):
  1. Laser für Plasmabeschleunigung (MLS)
Research Program(s):
  1. 621 - Accelerator Research and Development (POF4-621) (POF4-621)
Experiment(s):
  1. Laser-Driven Undulator X-Ray Source

Appears in the scientific report 2023
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Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Electronics and Telecommunications Collection ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; IF < 5 ; JCR ; SCOAP3 sponsored Journal ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2023-04-21, last modified 2025-07-15