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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...

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Autores principales: Malina, Lukas, Coello de Portugal, Jaime Maria, Dilly, Joschua, Skowroński, Piotr, Tomás, Rogelio, Toplis, Matthew
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:https://dx.doi.org/10.18429/JACoW-IPAC2018-THPAF045
http://cds.cern.ch/record/2672234
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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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AT skowronskipiotr performanceoptimisationofturnbyturnbeampositionmonitordataharmonicanalysis
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