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Phase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEP

Many beam-dynamical phenomena are studied, experimentally or computationally, by means of spectral analysis of a time-series of values of a dynamical variable. When the underlying dynamics is regular, the frequencies appearing in the spectrum are integer combinations of a small set of basic frequenc...

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Detalles Bibliográficos
Autores principales: Burgess, R T, Jowett, John M
Lenguaje:eng
Publicado: 2000
Materias:
Acceso en línea:http://cds.cern.ch/record/446804
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author Burgess, R T
Jowett, John M
author_facet Burgess, R T
Jowett, John M
author_sort Burgess, R T
collection CERN
description Many beam-dynamical phenomena are studied, experimentally or computationally, by means of spectral analysis of a time-series of values of a dynamical variable. When the underlying dynamics is regular, the frequencies appearing in the spectrum are integer combinations of a small set of basic frequencies, e.g., the three tunes in the case of single-particle orbital dynamics. For well-known reasons, identification of the frequencies can be ambiguous or subjective in practice. We present an algorithm that overcomes these difficulties by exploiting theoretical bounds on the spectral power density to transform time series into sets of labelled resonance lines. In our examples, the time series are orbits obtained by tracking single particles from many initial conditions. The method has been applied to off-momentum LHC injection optics. This is a deterministic Hamiltonian system. A second application, to orbits with strong quantum fluctuations in LEP2, shows that it also works well in a noisy, dissipative system.
id cern-446804
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2000
record_format invenio
spelling cern-4468042023-05-05T13:07:51Zhttp://cds.cern.ch/record/446804engBurgess, R TJowett, John MPhase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEPAccelerators and Storage RingsMany beam-dynamical phenomena are studied, experimentally or computationally, by means of spectral analysis of a time-series of values of a dynamical variable. When the underlying dynamics is regular, the frequencies appearing in the spectrum are integer combinations of a small set of basic frequencies, e.g., the three tunes in the case of single-particle orbital dynamics. For well-known reasons, identification of the frequencies can be ambiguous or subjective in practice. We present an algorithm that overcomes these difficulties by exploiting theoretical bounds on the spectral power density to transform time series into sets of labelled resonance lines. In our examples, the time series are orbits obtained by tracking single particles from many initial conditions. The method has been applied to off-momentum LHC injection optics. This is a deterministic Hamiltonian system. A second application, to orbits with strong quantum fluctuations in LEP2, shows that it also works well in a noisy, dissipative system.CERN-SL-2000-025-APoai:cds.cern.ch:4468042000-07-12
spellingShingle Accelerators and Storage Rings
Burgess, R T
Jowett, John M
Phase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEP
title Phase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEP
title_full Phase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEP
title_fullStr Phase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEP
title_full_unstemmed Phase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEP
title_short Phase-space Analysis by Multiple Resonance-Frequency Identification: Applications to the LHC and LEP
title_sort phase-space analysis by multiple resonance-frequency identification: applications to the lhc and lep
topic Accelerators and Storage Rings
url http://cds.cern.ch/record/446804
work_keys_str_mv AT burgessrt phasespaceanalysisbymultipleresonancefrequencyidentificationapplicationstothelhcandlep
AT jowettjohnm phasespaceanalysisbymultipleresonancefrequencyidentificationapplicationstothelhcandlep