Alhumaidi, Mouhammad ; Zoubir, Abdelhak M. ; Grieser, Jochen (2022)
Determination of Optics Transfer between the Kicker and BPMs for Transverse Feedback System.
IPAC2013: the 4th International Particle Accelerator Conference. Shanghai, China (12.05.2013-17.05.2013)
doi: 10.26083/tuprints-00020327
Conference or Workshop Item, Secondary publication, Publisher's Version
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Item Type: | Conference or Workshop Item |
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Type of entry: | Secondary publication |
Title: | Determination of Optics Transfer between the Kicker and BPMs for Transverse Feedback System |
Language: | English |
Date: | 2022 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2013 |
Publisher: | Joint Accelerator Conferences Website |
Book Title: | IPAC2013: Proceedings of the 4th International Particle Accelerator Conference |
Event Title: | IPAC2013: the 4th International Particle Accelerator Conference |
Event Location: | Shanghai, China |
Event Dates: | 12.05.2013-17.05.2013 |
DOI: | 10.26083/tuprints-00020327 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | The knowledge of the transfer optics between the positions of the Kicker and the BPMs is required for the calculation of the correction signal in transverse feedback systems. Therefore, using nominal values of the transfer optics with uncertainties leads to feedback quality degradation, and thus beam disturbances. In this work, we propose a method for measuring the phase advances and amplitude scaling between the positions of the kicker and the BPMs. Directly after applying a kick on the beam by means of the kicker, we record the BPM signals. Consequently, we use the Second-Order Blind Identification (SOBI) algorithm to decompose the noised recorded signals into independent sources mixture. Finally, we determine the required optics parameters by identifying and analyzing the betatron oscillation sourced from the kick based on its mixing and temporal patterns. Results for the heavy ions synchrotron SIS 18 at the GSI are shown. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-203276 |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems) |
Date Deposited: | 19 Jan 2022 09:19 |
Last Modified: | 20 Mar 2023 14:30 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20327 |
PPN: | 490518966 |
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