JaCoW Logo

Reference Search

Author: V. Kain


References



Reference
V. Kain et al., “Slow extracted spill ripple control in the CERN SPS using adaptive Bayesian optimisation”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS55, pp. 1790-1793.
A. Sulc et al., “Towards unlocking insights from logbooks using AI”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPR37, pp. 3579-3582.
V. Gawas, V. Kain, and F. Zimmermann, “Bayesian optimization for IP aberration correction and luminosity tuning in FCC-ee”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOPM011, this conference.
M. Taupadel et al., “Linear weight optimization of local magnetic field sensors for the integral field measurement in accelerator magnets”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPB024, this conference.
A. Lu, V. Di Capua, V. Kain, C. Petrone, M. Schenk, and M. Taupadel, “Data-driven hysteresis compensation in the CERN SPS main magnets”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEAN2, this conference.
B. Rodriguez Mateos, T. Argyropoulos, F. Carlier, V. Kain, M. Schenk, and M. Slupecki, “Operational results of data-driven automated intensity optimization at CERN’s LEIR”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM109, this conference.
A. Menor De Onate, N. Bruchon, V. Kain, B. Rodriguez Mateos, and M. Schenk, “Trajectory steering for DC beams at the CERN SPS using reinforcement learning based on intensity measurements”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM113, this conference.
M. Algelly et al., “Detecting anomalies in non-static environments: continual learning applied to CERN's kicker magnet”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM112, this conference.
L. Foldesi et al., “Model-based optimisation for automated multi-turn extraction tuning at the CERN Proton Synchrotron”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM009, this conference.
A. Gilardi et al., “Toward autonomous control: reinforcement learning for improving CLEAR accelerator performance”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM032, this conference.


Back to the list