JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Martino, G. AU - Aderhold, S. AU - Bellandi, A. AU - Benwell, A.L. AU - Branlard, J. AU - Doolittle, L.R. AU - Eichler, A. AU - Fey, G. AU - Gonnella, D. AU - Hoobler, S.L. AU - Nelson, J. AU - Porter, R.D. AU - Ratti, A. AU - Schlarb, H. AU - Zacarias, L.M. ED - McIntosh, Peter ED - Burt, Graeme ED - Apsimon, Robert ED - Schaa, Volker R.W. TI - Anomaly Detection Based Quench Detection System for CW Operation of SRF Cavities J2 - Proc. of LINAC2022, Liverpool, UK, 28 August-02 September 2022 CY - Liverpool, UK T2 - International Linear Accelerator Conference T3 - 31 LA - english AB - Superconducting radio frequency (SRF) cavities are used in modern particle accelerators to take advantage of their very high quality factor (Q). A higher Q means that a higher RF field can be sustained, and a higher acceleration can be produced in the cavity for length unity. However, in certain situations, e.g., too high RF field, the SRF cavities can experience quenches that risk creating damage due to the rapid increase in the heat load. This is especially negative in continuous wave (CW) operation due to the impossibility of the system to recover during the off-load period. The design goal of a quench-detection system is to protect the system without being a limiting factor during the operation. In this paper, we compare two different classification approaches for improving a quench detection system. We perform tests using traces recorded from LCLS-II and show that the ARSENAL classifier outperforms a CNN classifier in terms of accuracy. PB - JACoW Publishing CP - Geneva, Switzerland SP - 775 EP - 777 KW - cavity KW - experiment KW - SRF KW - operation KW - superconductivity DA - 2022/09 PY - 2022 SN - 2226-0366 SN - 978-3-95450-215-8 DO - doi:10.18429/JACoW-LINAC2022-THPOPA15 UR - https://jacow.org/linac2022/papers/thpopa15.pdf ER -