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Hybrid macro-particle moment accelerator tracking algorithm

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dc.contributor.author Jung, Paul Matthew
dc.date.accessioned 2020-08-28T03:02:01Z
dc.date.available 2020-08-28T03:02:01Z
dc.date.copyright 2020 en_US
dc.date.issued 2020-08-27
dc.identifier.uri http://hdl.handle.net/1828/12036
dc.description.abstract A particle accelerator simulation which straddles the gap between multi-particle and moment codes is derived. The hybrid approach represents the beam using macro-particles which contain discrete longitudinal coordinates and transverse second moments. The discretization scheme for the macro-particles is derived using variational principles, as a natural extension of well known variational approaches. This variational discretization allows for exact transverse emittance conservation. The electrostatic self-potential is discrete in the longitudinal direction and solved semi-analytically in the transverse direction using integrated Green’s functions. The algorithm is implemented and tested against both a moment and multi-particle code. en_US
dc.language English eng
dc.language.iso en en_US
dc.rights Available to the World Wide Web en_US
dc.subject Particle Accelerator en_US
dc.subject Simulation en_US
dc.subject variational principles en_US
dc.title Hybrid macro-particle moment accelerator tracking algorithm en_US
dc.type Thesis en_US
dc.contributor.supervisor Baartman, Richard
dc.contributor.supervisor Karlen, Dean Albert
dc.degree.department Department of Physics and Astronomy en_US
dc.degree.level Master of Science M.Sc. en_US
dc.description.scholarlevel Graduate en_US


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