Author: Wolfenden, J.
Paper Title Page
MOPORI03 Development of Quantum Gas Jet Beam Profile Monitor for Sub-mm Beams 223
 
  • N. Kumar, O. Stringer, C.P. Welsch, J. Wolfenden, H.D. Zhang
    The University of Liverpool, Liverpool, United Kingdom
  • N. Kumar, C.P. Welsch, J. Wolfenden, H.D. Zhang
    Cockcroft Institute, Warrington, Cheshire, United Kingdom
  • I. Maltusch
    FH Aachen, Jülich, Germany
 
  Funding: This work is supported by the STFC grants ST/W000687/1 and ST/W002159/1, InnovateUK Germinator 10004615, HL-LHC-UK project funded by STFC and CERN and the STFC Cockcroft core grant No. ST/G008248/1.
The development work of a high-resolution quantum gas jet beam profile monitor for highly energetic sub-mm particle beams is in progress at the Cockcroft Institute (CI), UK. This device is designed on the principle of detecting the secondary ions from the ionisation induced in the interaction between the quantum gas jet and charged particle beams. This monitor aims to generate an intense gas jet with a diameter of less than 100 µm, which can ultimately lead to superior position resolution and high signal intensity resulting from a strongly focused quantum gas jet. This is done by exploiting the quantum wave feature of the neutral gas atoms to generate an interference pattern with a single maximum acting as an ultra-thin gas jet using an ’atom sieve’ which is similar to the light focusing with a Fresnel zone plate. This device will be minimally interceptive and will work analogously to a mechanical wire scanner. This contribution gives a general overview of the design, working principle of the monitor and experimental results obtained from the electron beam profile measurements carried out at the Cockcroft Institute.
 
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DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2022-MOPORI03  
About • Received ※ 13 August 2022 — Revised ※ 16 August 2022 — Accepted ※ 30 August 2022 — Issue date ※ 01 September 2022
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MOPORI05 Application of Virtual Diagnostics in the FEBE Clara User Area 231
 
  • J. Wolfenden, C. Swain, C.P. Welsch
    The University of Liverpool, Liverpool, United Kingdom
  • D.J. Dunning, J.K. Jones, T.H. Pacey, A.E. Pollard
    STFC/DL/ASTeC, Daresbury, Warrington, Cheshire, United Kingdom
  • C. Swain, C.P. Welsch, J. Wolfenden
    Cockcroft Institute, Warrington, Cheshire, United Kingdom
 
  Funding: This work is supported by the AWAKE-UK phase II project funded by STFC and the STFC Cockcroft core grant No. ST/G008248/1.
Successful user experiments at particle beam facilities are dependent upon the awareness of beam characteristics at the interaction point. Often, properties are measured beforehand for fixed operation modes; users then rely on the long-term stability of the beam. Otherwise, diagnostics must be integrated into a user experiment, costing resources and limiting space in the user area. This contribution proposes the application of machine learning to develop a suite of virtual diagnostic systems. Virtual diagnostics take data at easy to access locations, and infer beam properties at locations where a measurement has not been taken, and often cannot be taken. Here the focus is the user area at the planned Full Energy Beam Exploitation (FEBE) upgrade to the CLARA facility (UK). Presented is a simulation-based proof-of-concept for a variety of virtual diagnostics. Transverse and longitudinal properties are measured upstream of the user area, coupled with the beam optics parameters leading to the user area, and input into a neural network, to predict the same parameters within the user area. Potential instrumentation for FEBE CLARA virtual diagnostics will also be discussed.
 
poster icon Poster MOPORI05 [0.613 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2022-MOPORI05  
About • Received ※ 17 August 2022 — Revised ※ 22 August 2022 — Accepted ※ 28 August 2022 — Issue date ※ 01 September 2022
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MOPORI06 Improvements on the Modified Nomarski Interferometer for Measurements of Supersonic Gas Jet Density Profiles 235
 
  • C. Swain, Ö. Apsimon, A. Salehilashkajani, C.P. Welsch, J. Wolfenden, H.D. Zhang
    Cockcroft Institute, Warrington, Cheshire, United Kingdom
  • Ö. Apsimon, A. Salehilashkajani, C. Swain, C.P. Welsch, J. Wolfenden, H.D. Zhang
    The University of Liverpool, Liverpool, United Kingdom
 
  Funding: This work is supported by the AWAKE-UK phase II project funded by STFC, the STFC Cockcroft core grant No. ST/G008248/1 and the HL-LHC-UK phase II project funded by STFC under Grant Ref: ST/T001925/1.
For supersonic gas jet based beam profile monitors such as that developed for the High Luminosity Large Hadron Collider (HL-LHC) upgrade, density profile is a key characteristic. Due to this, non-invasive diagnostics to study the jet’s behaviour have been designed. A Nomarski interferometer was constructed to image jets 30 um to 1 mm in diameter and study changes in their density. A microscope lens has been integrated into the original interferometer system to capture phase changes on a much smaller scale than previous experiments have achieved. This contribution presents the optimisation and results gained from this interferometer.
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2022-MOPORI06  
About • Received ※ 14 August 2022 — Revised ※ 24 August 2022 — Accepted ※ 29 August 2022 — Issue date ※ 01 September 2022
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