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Stability of longitudinal bunch length feedback for heavy-ion synchrotrons

Lens, D. ; Klingbeil, H. (2024)
Stability of longitudinal bunch length feedback for heavy-ion synchrotrons.
In: Physical Review Special Topics - Accelerators and Beams, 2013, 16 (3)
doi: 10.26083/tuprints-00027269
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Stability of longitudinal bunch length feedback for heavy-ion synchrotrons
Language: English
Date: 9 September 2024
Place of Publication: Darmstadt
Year of primary publication: 2013
Place of primary publication: College Park, MD
Publisher: American Physical Society
Journal or Publication Title: Physical Review Special Topics - Accelerators and Beams
Volume of the journal: 16
Issue Number: 3
Collation: 13 Seiten
DOI: 10.26083/tuprints-00027269
Corresponding Links:
Origin: Secondary publication service
Abstract:

In heavy-ion synchrotrons such as the SIS18 at Helmholtzzentrum für Schwerionenforschung, Helmholtz Centre for Heavy Ion Research (GSI), coherent oscillations of the particle bunches are damped by rf feedback systems to increase the stability and to improve the beam quality. In the longitudinal direction, important modes are the coherent longitudinal dipole and quadrupole oscillation. In this paper we present a new and rigorous approach to analyze the longitudinal feedback to damp these modes. The results are applied to the rf feedback loop at GSI that damps the quadrupole mode. The stability analysis is compared with simulations and is in good agreement with results of a beam experiment. Finally, we summarize practical implications for the operation of the feedback system regarding performance and stability.

Identification Number: Artikel-ID: 032801
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-272691
Classification DDC: 500 Science and mathematics > 530 Physics
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 09 Sep 2024 09:52
Last Modified: 18 Oct 2024 06:39
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/27269
PPN: 522245315
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