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Online Transverse Beam Instability Detection in the LHC: High-Throughput Real-Time Parallel Data Analysis
Linköping University, Department of Computer and Information Science, Software and Systems.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis presents the ADT transverse instability detection system, the next generation of instability detection in the LHC at CERN, Geneva. The system is presented after a thorough study of underlying causes for instabilities in high energy particle accelerators, current parallel programming paradigms, the available hardware and software at CERN and possible instability detection techniques. The requirements for the system involve handling vast amounts of data which need to be analyzed in real-time and in this data detect rapid amplitude growth while limiting the computational resources required to a minimum. The result of this thesis was a system that could generate a trigger when an instability was detected, which was used to save data from observation instruments around the LHC. A fixed display in the CERN control centre was also created which allows scientists and operators at CERN to monitor the oscillation amplitude of all particle bunches. The conclusion is that the complete system will be a valuable asset at CERN to help further develop the LHC.

Place, publisher, year, edition, pages
2017. , p. 113
Keyword [en]
parallel, computing, instability, detection, cern, hilbert, pipeline, dsp
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-143440ISRN: LIU-IDA/LITH-EX-A--17/053--SEOAI: oai:DiVA.org:liu-143440DiVA, id: diva2:1163631
External cooperation
CERN, Geneve, Switzerland
Subject / course
Computer science
Presentation
2017-11-13, Alan Turing, Liu, e-huset, Linköping, 13:15 (English)
Supervisors
Examiners
Available from: 2017-12-08 Created: 2017-12-07 Last updated: 2017-12-08Bibliographically approved

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CiteExportLink to record
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