Automatic detection of transverse beam instabilities in the Large Hadron Collider

Transverse beam instabilities are a major cause of emittance dilution and beam losses in high intensity hadron accelerators. This paper presents an overview of the system that has been developed for automatic detection of transverse beam instabilities in the Large Hadron Collider at CERN. It relies...

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Main Authors: T. E. Levens, K. Łasocha, T. Lefevre, M. Gąsior, R. Jones, T. Włostowski, J. P. Ellis, R. J. Steinhagen
Format: Article
Language:English
Published: American Physical Society 2019-11-01
Series:Physical Review Accelerators and Beams
Online Access:http://doi.org/10.1103/PhysRevAccelBeams.22.112803
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spelling doaj-7058b1a2317e465d93a40e182278fa392020-11-25T01:08:56ZengAmerican Physical SocietyPhysical Review Accelerators and Beams2469-98882019-11-01221111280310.1103/PhysRevAccelBeams.22.112803Automatic detection of transverse beam instabilities in the Large Hadron ColliderT. E. LevensK. ŁasochaT. LefevreM. GąsiorR. JonesT. WłostowskiJ. P. EllisR. J. SteinhagenTransverse beam instabilities are a major cause of emittance dilution and beam losses in high intensity hadron accelerators. This paper presents an overview of the system that has been developed for automatic detection of transverse beam instabilities in the Large Hadron Collider at CERN. It relies on the detection of very small transverse beam oscillations using a high sensitivity tune measurement system. These oscillations are then processed online in a field programmable gate array to monitor the growth of any instabilities. When an instability is detected, the acquisition of intrabunch beam position data with a multi-gigahertz bandwidth is triggered. This data allows identification of unstable bunches within bunch trains and provides information on the temporal signature of the instability. The design of these systems and the different algorithms for instability detection that have been tested with beam will be presented along with a detailed description of their performance.http://doi.org/10.1103/PhysRevAccelBeams.22.112803
collection DOAJ
language English
format Article
sources DOAJ
author T. E. Levens
K. Łasocha
T. Lefevre
M. Gąsior
R. Jones
T. Włostowski
J. P. Ellis
R. J. Steinhagen
spellingShingle T. E. Levens
K. Łasocha
T. Lefevre
M. Gąsior
R. Jones
T. Włostowski
J. P. Ellis
R. J. Steinhagen
Automatic detection of transverse beam instabilities in the Large Hadron Collider
Physical Review Accelerators and Beams
author_facet T. E. Levens
K. Łasocha
T. Lefevre
M. Gąsior
R. Jones
T. Włostowski
J. P. Ellis
R. J. Steinhagen
author_sort T. E. Levens
title Automatic detection of transverse beam instabilities in the Large Hadron Collider
title_short Automatic detection of transverse beam instabilities in the Large Hadron Collider
title_full Automatic detection of transverse beam instabilities in the Large Hadron Collider
title_fullStr Automatic detection of transverse beam instabilities in the Large Hadron Collider
title_full_unstemmed Automatic detection of transverse beam instabilities in the Large Hadron Collider
title_sort automatic detection of transverse beam instabilities in the large hadron collider
publisher American Physical Society
series Physical Review Accelerators and Beams
issn 2469-9888
publishDate 2019-11-01
description Transverse beam instabilities are a major cause of emittance dilution and beam losses in high intensity hadron accelerators. This paper presents an overview of the system that has been developed for automatic detection of transverse beam instabilities in the Large Hadron Collider at CERN. It relies on the detection of very small transverse beam oscillations using a high sensitivity tune measurement system. These oscillations are then processed online in a field programmable gate array to monitor the growth of any instabilities. When an instability is detected, the acquisition of intrabunch beam position data with a multi-gigahertz bandwidth is triggered. This data allows identification of unstable bunches within bunch trains and provides information on the temporal signature of the instability. The design of these systems and the different algorithms for instability detection that have been tested with beam will be presented along with a detailed description of their performance.
url http://doi.org/10.1103/PhysRevAccelBeams.22.112803
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