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Revealing the dynamics of ultrarelativistic non-equilibrium many-electron systems with phase space tomography

Funkner, Stefan 1; Niehues, Gudrun 1; Nasse, Michael J. 1; Bründermann, Erik ORCID iD icon 1; Caselle, Michele 2; Kehrer, Benjamin 1; Rota, Lorenzo 2; Schönfeldt, Patrik 1; Schuh, Marcel ORCID iD icon 1; Steffen, Bernd; Steinmann, Johannes L. ORCID iD icon 1; Weber, Marc 2; Müller, Anke-Susanne ORCID iD icon 1
1 Institut für Beschleunigerphysik und Technologie (IBPT), Karlsruher Institut für Technologie (KIT)
2 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)


The description of physical processes with many-particle systems is a key approach to the modeling of numerous physical systems. For example in storage rings, where ultrarelativistic particles are agglomerated in dense bunches, the modeling and measurement of their phase-space distribution is of paramount importance: at any time the phase-space distribution not only determines the complete space-time evolution but also provides fundamental performance characteristics for storage ring operation. Here, we demonstrate a non-destructive tomographic imaging technique for the 2D longitudinal phase-space distribution of ultrarelativistic electron bunches. For this purpose, we utilize a unique setup, which streams turn-by-turn near-field measurements of bunch profiles at MHz repetition rates. To demonstrate the feasibility of our method, we induce a non-equilibrium state and show that the phase-space distribution microstructuring as well as the phase-space distribution dynamics can be observed in great detail. Our approach offers a pathway to control ultrashort bunches and supports, as one example, the development of compact accelerators with low energy footprints.

Verlagsausgabe §
DOI: 10.5445/IR/1000157223
Veröffentlicht am 24.03.2023
DOI: 10.1038/s41598-023-31196-5
Zitationen: 1
Web of Science
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Beschleunigerphysik und Technologie (IBPT)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2045-2322
KITopen-ID: 1000157223
HGF-Programm 54.11.11 (POF IV, LK 01) Accelerator Operation, Research and Development
Erschienen in Scientific Reports
Verlag Nature Research
Band 13
Heft 1
Seiten Art.-Nr.: 4618
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 21.03.2023
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