Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider

Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider

We apply the independent component analysis (ICA) algorithm to uncover intrinsic noise in the beam position monitor (BPM) system. Numerical simulations found that ICA is efficient in the BPM noise estimation. The ICA algorithm is applied to the turn-by-turn data at the Relativistic Heavy Ion Collide...

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Bibliographic Details
Main Authors: X. Shen, S. Y. Lee, M. Bai
Format: Article
Language:English
Published: American Physical Society 2015-01-01
Series:Physical Review Special Topics. Accelerators and Beams
Online Access:http://doi.org/10.1103/PhysRevSTAB.18.014002
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spelling doaj-a126ae0ca9f44c8681e43685d59992c82020-11-25T01:33:17ZengAmerican Physical SocietyPhysical Review Special Topics. Accelerators and Beams1098-44022015-01-0118101400210.1103/PhysRevSTAB.18.014002Uncovering beam position monitor noise at the Relativistic Heavy Ion ColliderX. ShenS. Y. LeeM. BaiWe apply the independent component analysis (ICA) algorithm to uncover intrinsic noise in the beam position monitor (BPM) system. Numerical simulations found that ICA is efficient in the BPM noise estimation. The ICA algorithm is applied to the turn-by-turn data at the Relativistic Heavy Ion Collider. We found the distribution of the BPM noise level, which is consistent with the Johnson-Nyquist thermal noise model. The ICA analysis of turn-by-turn data can be used in neuronetwork feasibility of monitoring a storage ring parasitically.http://doi.org/10.1103/PhysRevSTAB.18.014002
collection DOAJ
language English
format Article
sources DOAJ
author X. Shen
S. Y. Lee
M. Bai
spellingShingle X. Shen
S. Y. Lee
M. Bai
Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider
Physical Review Special Topics. Accelerators and Beams
author_facet X. Shen
S. Y. Lee
M. Bai
author_sort X. Shen
title Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider
title_short Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider
title_full Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider
title_fullStr Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider
title_full_unstemmed Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider
title_sort uncovering beam position monitor noise at the relativistic heavy ion collider
publisher American Physical Society
series Physical Review Special Topics. Accelerators and Beams
issn 1098-4402
publishDate 2015-01-01
description We apply the independent component analysis (ICA) algorithm to uncover intrinsic noise in the beam position monitor (BPM) system. Numerical simulations found that ICA is efficient in the BPM noise estimation. The ICA algorithm is applied to the turn-by-turn data at the Relativistic Heavy Ion Collider. We found the distribution of the BPM noise level, which is consistent with the Johnson-Nyquist thermal noise model. The ICA analysis of turn-by-turn data can be used in neuronetwork feasibility of monitoring a storage ring parasitically.
url http://doi.org/10.1103/PhysRevSTAB.18.014002
work_keys_str_mv AT xshen uncoveringbeampositionmonitornoiseattherelativisticheavyioncollider
AT sylee uncoveringbeampositionmonitornoiseattherelativisticheavyioncollider
AT mbai uncoveringbeampositionmonitornoiseattherelativisticheavyioncollider
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