17–22 May 2026
C.I.D
Europe/Zurich timezone

Studies On Plasma Processing For 1.3GHz Mid-T Baked Cavity at SARI

TUP7639
19 May 2026, 16:00
2h
C.I.D

C.I.D

Deauville, France
Poster Presentation MC7.T07: Superconducting RF Poster session

Speaker

Hongtao Hou (Shanghai Advanced Research Institute)

Description

In this study, we conduct plasma processing experiments to improve performance of hydrocarbon contaminated mid-T baked cavities. Field emission (FE) is one of the main factors that limit performance of superconducting radiofrequency (SRF) cavities. To mitigate the impact of FE, we conducted experimental research on a dedicated medium-temperature (mid-T) baked 1.3 GHz single-cell cavity equipped with two higher order mode (HOM) couplers. Our study initiated with the cleaning of carbon-based permanent marker stains, followed by cleaning ethanol contamination. The first experiment was time-consuming but yielded an intuitive result: after around 105 hours of plasma cleaning with RF power input through a HOM couplers, the area covered by marker stains was significantly reduced. The second experiment utilized an ethanol/neon gas mixture to excite plasma within the cavity, enabling ethanol deposition on the cavity surface, followed by plasma processing. The results showed significant changes in the cavity performance before and after processing. This study demonstrates that plasma processing can restore cavity performance while maintaining the high-Q characteristics of mid-T baked SRF cavities and significantly reduce FE.

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Author

Wentian Xue (Shanghai Institute of Applied Physics)

Co-authors

Hongtao Hou (Shanghai Advanced Research Institute) Dr Andong Wu (Institute of Modern Physics) Bo Liu (Shanghai Advanced Research Institute) Dong Wang (ShanghaiTech University) Jiani Wu (Shanghai Advanced Research Institute, Chinese Academy of Sciences) Jinfang Chen (Shanghai Advanced Research Institute) Meng Zhang (Shanghai Advanced Research Institute) ShenJie Zhao (Shanghai Institute of Applied Physics) Shuai Xing (Shanghai Advanced Research Institute, Chinese Academy of Sciences) Xiaowei Wu (Zhangjiang Laboratory) Mr Xuming Liu (Shanghai Advanced Research Institute, Chinese Academy of Sciences) Mr Yitao Zhou (ShanghaiTech University) Yue Zong (Shanghai Advanced Research Institute) Dr Zheng Wang (Shanghai Advanced Research Institute, Chinese Academy of Sciences) Zhentang Zhao (Shanghai Advanced Research Institute)

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