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@INPROCEEDINGS{Sidorowski:357734,
      author       = {Sidorowski, Krystian and Forck, Peter and Udrea, Serban and
                      Mazzoni, Stefano and Sequeiro, Cristina and Welsch, Carsten
                      and Sameed, Muhammed and Stringer, Oliver and Veness,
                      Raymond and Lefevre, Thibaut and Churchman, Ashley and
                      Zhang, Hao and Ady, Marton and Kumar, Narender and Rossi,
                      Adriana and Webber-Date, Alexander and Schneider, Gerhard
                      and Sedlacek, Ondrej},
      editor       = {Assmann, Ralph and McIntosh, Peter and Fabris, Alessandro
                      and Bisoffi, Giovanni and Andrian, Ivan and Vinicola,
                      Giulia},
      title        = {{O}ptimisation of a gas jet-based beam profile monitor for
                      high intensity electron beams},
      publisher    = {JACoW Publishing},
      reportid     = {GSI-2025-00426},
      pages        = {4576-4579 pages},
      year         = {2023},
      note         = {Published by JACoW Publishing under the terms of the
                      Creative Commons Attribution 4.0 license.},
      abstract     = {A beam profile monitor using gas jet technology is being
                      designed and manufactured at the Cockcroft Institute for
                      high intensity electron beams. It generates a thin,
                      supersonic gas sheet that traverses the beam at a 45-degree
                      orientation and measures the beam-induced fluorescence
                      interactions to produce a 2D beam profile image. The gas
                      sheet acts similar to a scintillating screen, but remains
                      non-invasive. This contribution summarises the method
                      developed towards optimising the injection of a gas jet
                      monitor for the example use-case of the Hollow Electron
                      Lens. A multi-objective genetic algorithm is used with a
                      Monte-Carlo particle tracking simulation to optimise the
                      geometric features of the jet injection chambers. The
                      algorithm optimises for several key features of the jet that
                      will improve it as a diagnostic tool. Specifically, at the
                      point of interaction, the jet’s density, uniformity and
                      geometric dimensions are considered. The work developed in
                      this contribution is not limited to diagnostics and can be
                      expanded upon in other disciplines such as plasma wakefield
                      gas injections.},
      month         = {May},
      date          = {2023-05-07},
      organization  = {14th International Particle
                       Accelerator Conference, Venice (Italy),
                       7 May 2023 - 12 May 2023},
      keywords     = {Accelerator Physics (Other) /
                      mc6-beam-instrumentation-controls-feedback-and-operational-aspects
                      - MC6: Beam Instrumentation, Controls, Feedback and
                      Operational Aspects (Other) /
                      mc6-t03-beam-diagnostics-and-instrumentation - MC6.T03: Beam
                      Diagnostics and Instrumentation (Other)},
      cin          = {BEA},
      cid          = {I:(DE-Ds200)BEA-20051214OR061},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      experiment   = {$EXP:(DE-Ds200)no_experiment-20200803$},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.18429/JACOW-IPAC2023-THPL065},
      url          = {https://repository.gsi.de/record/357734},
}