Statistical analysis of RHIC beam position monitors performance

A detailed statistical analysis of beam position monitors (BPM) performance at RHIC is a critical factor in improving regular operations and future runs. Robust identification of malfunctioning BPMs plays an important role in any orbit or turn-by-turn analysis. Singular value decomposition and Fouri...

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Main Authors: R. Calaga, R. Tomás
Format: Article
Language:English
Published: American Physical Society 2004-04-01
Series:Physical Review Special Topics. Accelerators and Beams
Online Access:http://doi.org/10.1103/PhysRevSTAB.7.042801
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spelling doaj-9af4306b80df40a4a64105ac1e8870a22020-11-25T02:40:09ZengAmerican Physical SocietyPhysical Review Special Topics. Accelerators and Beams1098-44022004-04-017404280110.1103/PhysRevSTAB.7.042801Statistical analysis of RHIC beam position monitors performanceR. CalagaR. TomásA detailed statistical analysis of beam position monitors (BPM) performance at RHIC is a critical factor in improving regular operations and future runs. Robust identification of malfunctioning BPMs plays an important role in any orbit or turn-by-turn analysis. Singular value decomposition and Fourier transform methods, which have evolved as powerful numerical techniques in signal processing, will aid in such identification from BPM data. This is the first attempt at RHIC to use a large set of data to statistically enhance the capability of these two techniques and determine BPM performance. A comparison from run 2003 data shows striking agreement between the two methods and hence can be used to improve BPM functioning at RHIC and possibly other accelerators.http://doi.org/10.1103/PhysRevSTAB.7.042801
collection DOAJ
language English
format Article
sources DOAJ
author R. Calaga
R. Tomás
spellingShingle R. Calaga
R. Tomás
Statistical analysis of RHIC beam position monitors performance
Physical Review Special Topics. Accelerators and Beams
author_facet R. Calaga
R. Tomás
author_sort R. Calaga
title Statistical analysis of RHIC beam position monitors performance
title_short Statistical analysis of RHIC beam position monitors performance
title_full Statistical analysis of RHIC beam position monitors performance
title_fullStr Statistical analysis of RHIC beam position monitors performance
title_full_unstemmed Statistical analysis of RHIC beam position monitors performance
title_sort statistical analysis of rhic beam position monitors performance
publisher American Physical Society
series Physical Review Special Topics. Accelerators and Beams
issn 1098-4402
publishDate 2004-04-01
description A detailed statistical analysis of beam position monitors (BPM) performance at RHIC is a critical factor in improving regular operations and future runs. Robust identification of malfunctioning BPMs plays an important role in any orbit or turn-by-turn analysis. Singular value decomposition and Fourier transform methods, which have evolved as powerful numerical techniques in signal processing, will aid in such identification from BPM data. This is the first attempt at RHIC to use a large set of data to statistically enhance the capability of these two techniques and determine BPM performance. A comparison from run 2003 data shows striking agreement between the two methods and hence can be used to improve BPM functioning at RHIC and possibly other accelerators.
url http://doi.org/10.1103/PhysRevSTAB.7.042801
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