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Performance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic Analysis
Nowadays, turn-by-turn beam position monitor data is increasingly utilized in many accelerators, as it allows for fast and simultaneous measurement of various optics parameters. The accurate harmonic analysis of turn-by-turn data costs beam time when needed online. Generally, the electronic noise is...
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IPAC2018-THPAF045 http://cds.cern.ch/record/2672234 |
_version_ | 1780962532239867904 |
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author | Malina, Lukas Coello de Portugal, Jaime Maria Dilly, Joschua Skowroński, Piotr Tomás, Rogelio Toplis, Matthew |
author_facet | Malina, Lukas Coello de Portugal, Jaime Maria Dilly, Joschua Skowroński, Piotr Tomás, Rogelio Toplis, Matthew |
author_sort | Malina, Lukas |
collection | CERN |
description | Nowadays, turn-by-turn beam position monitor data is increasingly utilized in many accelerators, as it allows for fast and simultaneous measurement of various optics parameters. The accurate harmonic analysis of turn-by-turn data costs beam time when needed online. Generally, the electronic noise is avoided by cleaning of the data based on singular value decomposition. In this paper, we exploit the cleaning procedure to compress the data for the harmonic analysis. This way the harmonic analysis is sped up by an order of magnitude. The impact on measurement accuracy is discussed. |
id | oai-inspirehep.net-1690239 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
record_format | invenio |
spelling | oai-inspirehep.net-16902392019-09-30T06:29:59Zdoi:10.18429/JACoW-IPAC2018-THPAF045http://cds.cern.ch/record/2672234engMalina, LukasCoello de Portugal, Jaime MariaDilly, JoschuaSkowroński, PiotrTomás, RogelioToplis, MatthewPerformance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic AnalysisAccelerators and Storage RingsNowadays, turn-by-turn beam position monitor data is increasingly utilized in many accelerators, as it allows for fast and simultaneous measurement of various optics parameters. The accurate harmonic analysis of turn-by-turn data costs beam time when needed online. Generally, the electronic noise is avoided by cleaning of the data based on singular value decomposition. In this paper, we exploit the cleaning procedure to compress the data for the harmonic analysis. This way the harmonic analysis is sped up by an order of magnitude. The impact on measurement accuracy is discussed.oai:inspirehep.net:16902392018 |
spellingShingle | Accelerators and Storage Rings Malina, Lukas Coello de Portugal, Jaime Maria Dilly, Joschua Skowroński, Piotr Tomás, Rogelio Toplis, Matthew Performance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic Analysis |
title | Performance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic Analysis |
title_full | Performance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic Analysis |
title_fullStr | Performance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic Analysis |
title_full_unstemmed | Performance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic Analysis |
title_short | Performance Optimisation of Turn-by-Turn Beam Position Monitor Data Harmonic Analysis |
title_sort | performance optimisation of turn-by-turn beam position monitor data harmonic analysis |
topic | Accelerators and Storage Rings |
url | https://dx.doi.org/10.18429/JACoW-IPAC2018-THPAF045 http://cds.cern.ch/record/2672234 |
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