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Injection optimization at particle accelerators via reinforcement learning: From simulation to real-world application

; ; ;

In
Physical review accelerators and beams : PRAB 28(3), Seiten/Artikel-Nr.:034601

ImpressumCollege Park, MD : American Physical Society

Umfang1-14

ISSN2469-9888

Online
DOI: 10.1103/PhysRevAccelBeams.28.034601

DOI: 10.18154/RWTH-2025-03567
URL: https://publications.rwth-aachen.de/record/1009601/files/1009601.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet für Experimentalphysik (139420)
  2. Fachgruppe Physik (130000)
  3. Lehrstuhl für Experimentalphysik III B (133510)
  4. Lehr- und Forschungsgebiet Experimentalphysik (134820)


Thematische Einordnung (Klassifikation)
DDC: 530

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105000516826
WOS Core Collection: WOS:001447589700004

Interne Identnummern
RWTH-2025-03567
Datensatz-ID: 1009601

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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134820
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139420
 Record created 2025-04-07, last modified 2025-04-16
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