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BEM-Based Magnetic Field Reconstruction by Ensemble Kálmán Filtering

Abstract Magnetic fields generated by normal or superconducting electromagnets are used to guide and focus particle beams in storage rings, synchrotron light sources, mass spectrometers, and beamlines for radiotherapy. The accurate determination of the magnetic field by measurement is...

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Detalles Bibliográficos
Autores principales: Liebsch, Melvin, Russenschuck, Stephan, Kurz, Stefan
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:https://dx.doi.org/10.1515/cmam-2022-0121
http://cds.cern.ch/record/2850953
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author Liebsch, Melvin
Russenschuck, Stephan
Kurz, Stefan
author_facet Liebsch, Melvin
Russenschuck, Stephan
Kurz, Stefan
author_sort Liebsch, Melvin
collection CERN
description Abstract Magnetic fields generated by normal or superconducting electromagnets are used to guide and focus particle beams in storage rings, synchrotron light sources, mass spectrometers, and beamlines for radiotherapy. The accurate determination of the magnetic field by measurement is critical for the prediction of the particle beam trajectory and hence the design of the accelerator complex. In this context, state-of-the-art numerical field computation makes use of boundary-element methods (BEM) to express the magnetic field. This enables the accurate computation of higher-order partial derivatives and local expansions of magnetic potentials used in efficient numerical codes for particle tracking. In this paper, we present an approach to infer the boundary data of an indirect BEM formulation from magnetic field measurements by ensemble Kálmán filtering. In this way, measurement uncertainties can be propagated to the boundary data, magnetic field and potentials, and to the beam related quantities derived from particle tracking. We provide results obtained from real measurement data of a curved dipole magnet using a Hall probe mapper system.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
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spelling cern-28509532023-03-31T10:27:00Zdoi:10.1515/cmam-2022-0121http://cds.cern.ch/record/2850953engLiebsch, MelvinRussenschuck, StephanKurz, StefanBEM-Based Magnetic Field Reconstruction by Ensemble Kálmán FilteringAccelerators and Storage RingsComputing and ComputersMathematical Physics and MathematicsAbstract Magnetic fields generated by normal or superconducting electromagnets are used to guide and focus particle beams in storage rings, synchrotron light sources, mass spectrometers, and beamlines for radiotherapy. The accurate determination of the magnetic field by measurement is critical for the prediction of the particle beam trajectory and hence the design of the accelerator complex. In this context, state-of-the-art numerical field computation makes use of boundary-element methods (BEM) to express the magnetic field. This enables the accurate computation of higher-order partial derivatives and local expansions of magnetic potentials used in efficient numerical codes for particle tracking. In this paper, we present an approach to infer the boundary data of an indirect BEM formulation from magnetic field measurements by ensemble Kálmán filtering. In this way, measurement uncertainties can be propagated to the boundary data, magnetic field and potentials, and to the beam related quantities derived from particle tracking. We provide results obtained from real measurement data of a curved dipole magnet using a Hall probe mapper system.oai:cds.cern.ch:28509532022
spellingShingle Accelerators and Storage Rings
Computing and Computers
Mathematical Physics and Mathematics
Liebsch, Melvin
Russenschuck, Stephan
Kurz, Stefan
BEM-Based Magnetic Field Reconstruction by Ensemble Kálmán Filtering
title BEM-Based Magnetic Field Reconstruction by Ensemble Kálmán Filtering
title_full BEM-Based Magnetic Field Reconstruction by Ensemble Kálmán Filtering
title_fullStr BEM-Based Magnetic Field Reconstruction by Ensemble Kálmán Filtering
title_full_unstemmed BEM-Based Magnetic Field Reconstruction by Ensemble Kálmán Filtering
title_short BEM-Based Magnetic Field Reconstruction by Ensemble Kálmán Filtering
title_sort bem-based magnetic field reconstruction by ensemble kálmán filtering
topic Accelerators and Storage Rings
Computing and Computers
Mathematical Physics and Mathematics
url https://dx.doi.org/10.1515/cmam-2022-0121
http://cds.cern.ch/record/2850953
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AT russenschuckstephan bembasedmagneticfieldreconstructionbyensemblekalmanfiltering
AT kurzstefan bembasedmagneticfieldreconstructionbyensemblekalmanfiltering