|
C. Obermair et al., “Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 1068-1071. |
|
L. Felsberger, A. Apollonio, T. Cartier-Michaud, E. Montesinos, J. C. Oliveira, and J. A. Uythoven, “Availability Modeling of the Solid-State Power Amplifiers for the CERN SPS RF Upgrade”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2308-2311. |
|
L. Felsberger, U. Dorda, J. Uythoven, A. Apollonio, J. van de Walle, and D. Vandeplassche, “Quantitative availability modelling for the MYRRHA accelerator driven system”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPM105, pp. 5114-5117. |
|
M. Blaszkiewicz et al., “Reliability studies for CERN’s new safe machine parameter system”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPA057, pp. 4085-4088. |
|
J. Heron, D. Wollmann, J. Uythoven, L. Felsberger, and M. Blaszkiewicz, “Availability and luminosity in the Future Circular Electron-Positron Collider (FCC-ee)”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEBN3, this conference. |
|
S. Bolton et al., “Development of a second-generation system for the reliable distribution of machine protection parameters”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPG60, this conference. |
