Hybrid macro-particle moment accelerator tracking algorithm

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dc.contributor.authorJung, Paul Matthew
dc.contributor.supervisorBaartman, Richard
dc.contributor.supervisorKarlen, Dean Albert
dc.date.accessioned2020-08-28T03:02:01Z
dc.date.available2020-08-28T03:02:01Z
dc.date.copyright2020en_US
dc.date.issued2020-08-27
dc.degree.departmentDepartment of Physics and Astronomyen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractA 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.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/12036
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectParticle Acceleratoren_US
dc.subjectSimulationen_US
dc.subjectvariational principlesen_US
dc.titleHybrid macro-particle moment accelerator tracking algorithmen_US
dc.typeThesisen_US

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