17–23 Sept 2023
Hotel Hermitage, La Biodola Bay, Isola d'Elba, Italy
Europe/Rome timezone

Session

WG7: Beam diagnostics, instrumentation, Machine Learning

WG7
19 Sept 2023, 16:20
Hotel Hermitage, La Biodola Bay, Isola d'Elba, Italy

Hotel Hermitage, La Biodola Bay, Isola d'Elba, Italy

La Biodola Bay - 57037 Portoferraio Isola d’Elba (Li) - Italy

Conveners

WG7: Beam diagnostics, instrumentation, Machine Learning

  • Rasmus Ischebeck (PSI)
  • Andreas Döpp (LMU Munich)

WG7: Beam diagnostics, instrumentation, Machine Learning

  • Andreas Döpp (LMU Munich)
  • Rasmus Ischebeck (PSI)

Presentation materials

There are no materials yet.

  1. Andreas Döpp (LMU Munich), Rasmus Ischebeck (PSI)
    19/09/2023, 16:20
  2. Dr Kai Huang (Kansai Institute for Photon Science (KPSI), National Institutes for Quantum Science and Technology (QST))
    19/09/2023, 16:25
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    The realization of a compact X-ray free-electron laser for pump-probe applications is a popular topic in the research of laser wakefield acceleration. The 3D charge density is closely related with the 6D brightness that primarily determines the lasing process in the undulator. However, this parameter has not been experimentally measured in previous studies. We measured the 3D charge density of...

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  3. Alexander Debus (Helmholtz-Zentrum Dresden-Rossendorf)
    19/09/2023, 16:45
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    The longitudinal profile of ultra-short electron bunches from Laser wakefield accelerators (LWFA) intricately depends on the ultrafast injection dynamics and laser-electron beam interaction during acceleration. Detailed knowledge of these electron bunch temporal profile is critical for the design of future table-top x-ray light-sources, as well as for the characterization of ultrashort...

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  4. Pietro Musumeci
    19/09/2023, 17:05
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    We present an experimental demonstration of a single-shot, non-destructive electron beam diagnostic based on detecting the ionized particles generated by the passage of the primary beam through a low density pulsed gas sheet.
    Efficient detection of the ionization events, coupled with a flexible electrostatic column design, allows the retrieval of information on beam charge, centroid...

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  5. Andreas Döpp (LMU Munich), Rasmus Ischebeck (PSI)
    19/09/2023, 17:25
  6. Faran Irshad (Center of Advanced Laser Applications at Ludwig Maximilian University of Munich)
    19/09/2023, 17:40
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    Beam parameter optimization in accelerators involves multiple, sometimes competing objectives. Condensing these individual objectives into a single figure of merit unavoidably results in a bias towards particular outcomes. Finding an optimal objective definition then requires operators to iterate over many possible objective weights and definitions, a process that can take many times longer...

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  7. Sören Jalas (DESY)
    19/09/2023, 18:05
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    In this talk, we explore recent results on optimal tuning of beam parameters of laser-plasma accelerators (LPA) at the LUX experiment. Precise control over electron beam parameters is essential for realizing the wide range of applications projected for LPAs. However, the complexity of the laser-plasma interaction makes tuning challenging, often leading to suboptimal outcomes. To address this...

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  8. Andreas Döpp (LMU Munich), Rasmus Ischebeck (PSI)
    21/09/2023, 16:20
  9. Alexander Sävert (Helmholtz Institut Jena)
    21/09/2023, 16:25
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    The emittance of an electron bunch is a fundamental property, which characterizes its quality in terms of applications. Nowadays, electron beams from laser wakefield accelerators have matured to even drive free electron lasers. Characterizing these beams in terms of emittance is still challenging, as single-shot measurements are required. However, widely used techniques like a pepper-pot mask...

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  10. Dr Simon Bohlen (DESY)
    21/09/2023, 16:45
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    Plasma acceleration enables the acceleration of electrons to high energies over short distances as high electric fields on the order of 100 GV/m can be sustained in plasma. A precise knowledge of these fields is necessary for the stable and reliable operation of plasma accelerators. We report on a noninvasive method applying Thomson scattering to measure the evolution of the electron beam...

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  11. 21/09/2023, 17:05
  12. Anna Willmann (HZDR)
    21/09/2023, 17:20
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    Recently, free electron lasing at UV wavelength has been demonstrated by deploying the COXINEL beamline driven by HZDR plasma accelerator in a seeded configuration[1]. Further control and optimization of such an FEL radiation require full knowledge of strongly-coupled multivariate parameters involved in laser plasma acceleration, electron beam transport and radiation generation. For this...

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  13. Hans-Peter Schlenvoigt (Helmholtz-Zentrum Dresden - Rossendorf)
    21/09/2023, 17:45
    WG7: Beam diagnostics, instrumentation, Machine Learning
    Oral contribution

    HELPMI is a 2-year project, subsidized by the Helmholtz Metadata Collaboration, conducted by GSI, HI Jena and HZDR (lead). The aim is to start the development of a F.A.I.R. data standard for experimental data of the entire laser-plasma (LPA) community. Such standard does not yet exist. It will facilitate management and analysis of usually quite heterogeneous experimental data and logs by rich...

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  14. 21/09/2023, 18:10
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