Title |
White Rabbit and MTCA.4 Use in the LLRF Upgrade for CERN’s SPS |
Authors |
- T. Włostowski, K. Adrianek, M. Arruat, P. Baudrenghien, A.C. Butterworth, G. Daniluk, J. Egli, J.R. Gill, T. Gingold, J.D. González Cobas, G. Hagmann, P. Kuzmanović, D. Lampridis, M.M. Lipiński, S. Novel González, J.P. Palluel, M. Rizzi, A. Spierer, M. Sumiński, A. Wujek
CERN, Geneva, Switzerland
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Abstract |
The Super Proton Synchrotron (SPS) Low-level RF (LLRF) system at CERN was completely revamped in 2020. In the old system, the digital signal processing was clocked by a submultiple of the RF. The new system uses a fixed-frequency clock derived from White Rabbit (WR). This triggered the development of an eRTM module for generating very precise clock signals to be fed to the optional RF backplane in MTCA.4 crates. The eRTM14/15 sandwich of modules implements a WR node delivering clock signals with a jitter below 100 fs. WR-clocked RF synthesis inside the FPGA makes it simple to reproduce the RF elsewhere by broadcasting the frequency-tuning words over the WR network itself. These words are received by the WR2RF-VME module and used to produce beam-synchronous signals such as the bunch clock and the revolution tick. This paper explains the general architecture of this new LLRF system, highlighting the role of WR-based synchronization. It then goes on to describe the hardware and gateware designs for both modules, along with their supporting software. A recount of our experience with the deployment of the MTCA.4 platform is also provided.
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Paper |
download THBR02.PDF [0.824 MB / 6 pages] |
Slides |
download THBR02_TALK.PDF [0.981 MB] |
Cite |
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Conference |
ICALEPCS2021 |
Series |
International Conference on Accelerator and Large Experimental Physics Control Systems (18th) |
Location |
Shanghai, China |
Date |
14-22 October 2021 |
Publisher |
JACoW Publishing, Geneva, Switzerland |
Editorial Board |
Kazuro Furukawa (KEK, Tsukuba, Japan); Yingbing Yan (SARI,Shanghai, China); Yongbin Leng (SARI,Shanghai, China); Zhichu Chen (SARI,Shanghai, China); Volker RW Schaa (GSI, Darmstadt, Germany) |
Online ISBN |
978-3-95450-221-9 |
Online ISSN |
2226-0358 |
Received |
12 October 2021 |
Revised |
24 October 2021 |
Accepted |
27 December 2021 |
Issue Date |
28 February 2022 |
DOI |
doi:10.18429/JACoW-ICALEPCS2021-THBR02 |
Pages |
847-852 |
Copyright |
Published by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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