Contribution to a conference proceedings GSI-2025-00426

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Optimisation of a gas jet-based beam profile monitor for high intensity electron beams

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2023
JACoW Publishing

14th International Particle Accelerator Conference, VeniceVenice, Italy, 7 May 2023 - 12 May 20232023-05-072023-05-12 JACoW Publishing 4576-4579 pages () [10.18429/JACOW-IPAC2023-THPL065]

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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.

Keyword(s): Accelerator Physics ; mc6-beam-instrumentation-controls-feedback-and-operational-aspects - MC6: Beam Instrumentation, Controls, Feedback and Operational Aspects ; mc6-t03-beam-diagnostics-and-instrumentation - MC6.T03: Beam Diagnostics and Instrumentation


Note: Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license.

Contributing Institute(s):
  1. Beam Diagnostics (BEA)
Research Program(s):
  1. 899 - ohne Topic (POF4-899) (POF4-899)
Experiment(s):
  1. no experiment theory work (theory)

Appears in the scientific report 2023
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Creative Commons Attribution CC BY 4.0 ; OpenAccess
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 Datensatz erzeugt am 2025-02-12, letzte Änderung am 2025-03-07