| Title |
Machine Learning Methods for Single Shot RF Tuning |
| Authors |
- J.S. Lundquist, N. Milas
ESS, Lund, Sweden
- S. Werin
Lund University, Lund, Sweden
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| Abstract |
The European Spallation Source, currently under construction in Lund, Sweden, will be the world’s most powerful neutron source. It is driven by a proton linac with a current of 62.5 mA, 2.86 ms long pulses at 14 Hz. The final section of its normal-conducting front-end consists of a 39 m long drift tube linac (DTL) divided into five tanks, designed to accelerate the proton beam from 3.6 MeV to 90 MeV. The high beam current and power impose challenges to the design and tuning of the machine and the RF amplitude and phase have to be set within 1% and 1 degrees of the design values. The usual method used to define the RF set-point is signature matching, which can be a challenging process, and new techniques to meet the growing complexity of accelerator facilities are highly desirable. In this paper we study the use of ML to determine the RF optimum amplitude and phase, using a single pass of the beam through the ESS DTL1 tank. This novel method is compared with the more established methods using scans over RF phase, providing similar results in terms of accuracy for simulated data with errors. We also discuss the results and future extension of the method to the whole ESS DTL.
|
| Paper |
download TUPP41.PDF [1.063 MB / 4 pages] |
| Poster |
download TUPP41_POSTER.PDF [2.142 MB] |
| Export |
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| Conference |
IBIC2021 |
| Series |
International Beam Instrumentation Conference (10th) |
| Location |
Pohang, Rep. of Korea |
| Date |
24-28 May 2021 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Changbum Kim (PAL, Pohang, Rep. of Korea); Volker R. W. Schaa (GSI, Darmstadt, Germany); Dong-Eon Kim (PAL, Pohang, Rep. of Korea); Jaeyu Lee (PAL, Pohang, Rep. of Korea) |
| Online ISBN |
978-3-95450-230-1 |
| Online ISSN |
2673-5350 |
| Received |
08 September 2021 |
| Accepted |
17 September 2021 |
| Issue Date |
17 October 2021 |
| DOI |
doi:10.18429/JACoW-IBIC2021-TUPP41 |
| Pages |
313-316 |
| 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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