| Paper |
Title |
Page |
| TUP17 |
HL-LHC Beam Gas Fluorescence Studies for Transverse Profile Measurement |
261 |
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- O. Sedláček, M. Ady, C. Castro Sequeiro, A.R. Churchman, S. Mazzoni, G. Schneider, K. Sidorowski, R. Veness
CERN, Meyrin, Switzerland
- P. Forck, S. Udrea
GSI, Darmstadt, Germany
- M. Sameed
European Organization for Nuclear Research (CERN), Geneva, Switzerland
- O. Sedláček, O. Stringer, C.P. Welsch, H.D. Zhang
The University of Liverpool, Liverpool, United Kingdom
- O. Sedláček, O. Stringer, C.P. Welsch, H.D. Zhang
Cockcroft Institute, Warrington, Cheshire, United Kingdom
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In a gas jet monitor, a supersonic gas curtain is injected into the beam pipe and interacts with the charged particle beam. The monitor exploits fluorescence induced by beam-gas interactions, thus providing a minimally invasive transverse profile measurement. Such a monitor is being developed as part of the High Luminosity LHC upgrade at CERN. As a preliminary study, the fluorescence cross section of relevant gases must be measured for protons at 450 GeV and 6.8 TeV (i.e. the LHC injection and flat top energies). In these measurements, neon, or alternatively nitrogen gas, will be injected into the LHC vacuum pipe by a regulated gas valve to create an extended pressure bump. This work presents the optical detection system that was installed in 2022 in the LHC to measure luminescence cross-section and horizontal beam profile. Preliminary measurements of background light and first signals are presented in this paper.
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Poster TUP17 [0.673 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-IBIC2022-TUP17
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| About • |
Received ※ 07 September 2022 — Revised ※ 10 September 2022 — Accepted ※ 14 September 2022 — Issue date ※ 21 November 2022 |
| Cite • |
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| WEP32 |
Secondary Emission Monitor Simulation, Measurements and Machine Learning Application Studies for CERN Fixed Target Beamlines |
476 |
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- L. Parsons França, M. Duraffourg, F. Roncarolo, F.M. Velotti
CERN, Meyrin, Switzerland
- E. Kukstas, C.P. Welsch, H.D. Zhang
The University of Liverpool, Liverpool, United Kingdom
- C.P. Welsch, H.D. Zhang
Cockcroft Institute, Warrington, Cheshire, United Kingdom
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Funding: This work was supported by CERN and the STFC Liverpool Centre for Doctoral Training on Data Intensive Science (LIV. DAT) under grant agreement ST/P006752/1.
The CERN fixed target experimental areas have recently acquired new importance thanks to newly proposed experiments, such as those linked to Physics Beyond Colliders (PBC) activities. Secondary Emission Monitors (SEMs) are the instruments currently used for measuring beam current, position and size in these areas. Guaranteeing their reliability, resistance to radiation and measurement precision is challenging. This paper presents the studies being conducted to understand ageing effects on SEM devices, to calibrate and optimise the SEM design for future use in these beamlines. These include feasibility studies for the application of machine learning techniques, with the objective of expanding the range of tools available for data analysis.
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Poster WEP32 [1.173 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-IBIC2022-WEP32
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| About • |
Received ※ 07 September 2022 — Revised ※ 10 September 2022 — Accepted ※ 13 September 2022 — Issue date ※ 02 October 2022 |
| Cite • |
reference for this paper using
※ BibTeX,
※ LaTeX,
※ Text/Word,
※ RIS,
※ EndNote (xml)
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