JaCoW Logo

Reference Search

Author: V. Kain


References



Reference
P. Forck et al., “IFAST-REX: An initiative for the mitigation of beam current fluctuations in slow extraction”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPM096, unpublished.
A. Lasheen et al., “Investigations of losses on the CERN SPS flat bottom with HL-LHC type beams”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA153, pp. 1652-1655.
C. Uden, A. Huschauer, H. Pahl, M. Schenk, N. Madysa, and V. Kain, “Multi-objective extremum seeking to control drifts in the transverse beam splitting efficiency of the multi-turn extraction at the CERN proton synchrotron”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA159, pp. 1675-1678.
S. Hirlaender, L. Lamminger, G. Zevi Della Porta, and V. Kain, “Ultra fast reinforcement learning demonstrated at CERN AWAKE”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL038, pp. 4510-4513.
F. Roncarolo et al., “Fast Spill Monitor Studies for the SPS Fixed Target Beams”, in Proc. 11th Int. Beam Instrumentation Conference (IBIC'22), Kraków, Poland, Sep. 2022, pp. 522-526.
G. Rumolo et al., “Beam Performance with the LHC Injectors Upgrade”, in Proc. HB'23 (HB), Geneva, Switzerland, Oct. 2023, paper MOA1I1, pp. 1-8.
M. Slupecki et al., “Performance of the Ion Chain at the CERN Injector Complex and Transmission Studies During the 2023 Slip Stacking Commissioning”, in Proc. HB'23 (HB), Geneva, Switzerland, Oct. 2023, paper THAFP08, pp. 418-421.
A. Lu, V. Kain, C. Petrone, V. Di Capua, M. Schenk, and C. Zannini, “First operational experience with data-driven hysteresis compensation for the main dipole magnets of the CERN SPS”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS66, pp. 874-877.
F. Velotti, E. Matheson, L. S. Esposito, M. Fraser, S. Solis Paiva, and V. Kain, “Enhancing CERN-SPS slow extraction efficiency: meta Bayesian optimisation in crystal shadowing”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS65, pp. 870-873.
S. Hirlaender et al., “Towards few-shot reinforcement learning in particle accelerator control”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS60, pp. 1804-1807.


Back to the list