Modeling and Numerical Simulation of Space Charge Dominated Beams in the Paraxial Approximation

This work is devoted to the modeling of space charge dominated particle beams in the paraxial approximation with several types of external focusing fields (uniform, periodic and alternating gradient). A solid mathematical background for numerical beam simulation is established. The Kapchinsky-Vladimirsky distribution which can be matched exactly or numerically to the focusing channel is first studied. Then the matched KV beam is used to approximately match arbitrary beams. Moreover Water-Bag and Maxwell Boltzmann beams are studied to give analytical solution for code validation. Finally, numerical simulations are presented in different configurations.

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Source https://inria.hal.science/inria-00070460
Author Filbet, Francis, Sonnendrücker, Eric
Maintainer CCSD
Last Updated May 16, 2026, 02:24 (UTC)
Created May 16, 2026, 02:24 (UTC)
Identifier Report N°: RR-5547
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Scientific computation and visualization (CALVI) ; Institut de Recherche Mathématique Avancée (IRMA) ; Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection (LSIIT) ; Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Lorraine ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Élie Cartan de Lorraine (IECL) ; Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
creator Filbet, Francis
date 2005-05-16T00:00:00
harvest_object_id ea5969be-c792-4917-b0ed-497ef4b60a9a
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-11-04T00:00:00
set_spec type:REPORT