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Electron beam trajectory reconstruction for transfer lines
The goal of the AWAKE Run 2a experiment is to study the electron-seeding of the self-modulation of a proton bunch propagating in plasma. To study the dependence of the electron-seeding on the relative alignment between the beams, a method to measure this alignment has been developed. The electron an...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2784138 |
_version_ | 1780972087647666176 |
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author | Ramjiawan, Rebecca Louise Velotti, Francesco Maria |
author_facet | Ramjiawan, Rebecca Louise Velotti, Francesco Maria |
author_sort | Ramjiawan, Rebecca Louise |
collection | CERN |
description | The goal of the AWAKE Run 2a experiment is to study the electron-seeding of the self-modulation of a proton bunch propagating in plasma. To study the dependence of the electron-seeding on the relative alignment between the beams, a method to measure this alignment has been developed. The electron and proton beamlines are brought together into a common line before they are injected into the plasma. The BPMs within the common line cannot be used for electron measurements in the presence of a proton beam as the signal from the proton beam dominates. In this case, the electron beam trajectory through the common line needs reconstructing, event-by-event, using beam trajectory measurements from the first part of the electron line. Here we describe the use of Physics-Guided Neural Networks to propagate the trajectory of the electron beam through the common line to the entrance of the AWAKE plasma cell. |
id | cern-2784138 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27841382021-10-14T21:03:44Zhttp://cds.cern.ch/record/2784138engRamjiawan, Rebecca LouiseVelotti, Francesco MariaElectron beam trajectory reconstruction for transfer linesAccelerators and Storage RingsThe goal of the AWAKE Run 2a experiment is to study the electron-seeding of the self-modulation of a proton bunch propagating in plasma. To study the dependence of the electron-seeding on the relative alignment between the beams, a method to measure this alignment has been developed. The electron and proton beamlines are brought together into a common line before they are injected into the plasma. The BPMs within the common line cannot be used for electron measurements in the presence of a proton beam as the signal from the proton beam dominates. In this case, the electron beam trajectory through the common line needs reconstructing, event-by-event, using beam trajectory measurements from the first part of the electron line. Here we describe the use of Physics-Guided Neural Networks to propagate the trajectory of the electron beam through the common line to the entrance of the AWAKE plasma cell.CERN-ACC-NOTE-2021-0025oai:cds.cern.ch:27841382021-10-14 |
spellingShingle | Accelerators and Storage Rings Ramjiawan, Rebecca Louise Velotti, Francesco Maria Electron beam trajectory reconstruction for transfer lines |
title | Electron beam trajectory reconstruction for transfer lines |
title_full | Electron beam trajectory reconstruction for transfer lines |
title_fullStr | Electron beam trajectory reconstruction for transfer lines |
title_full_unstemmed | Electron beam trajectory reconstruction for transfer lines |
title_short | Electron beam trajectory reconstruction for transfer lines |
title_sort | electron beam trajectory reconstruction for transfer lines |
topic | Accelerators and Storage Rings |
url | http://cds.cern.ch/record/2784138 |
work_keys_str_mv | AT ramjiawanrebeccalouise electronbeamtrajectoryreconstructionfortransferlines AT velottifrancescomaria electronbeamtrajectoryreconstructionfortransferlines |