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Author: F. Huhn


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Reference
F. Huhn, B. Goddard, F. Velotti, and V. Bencini, “Automating beam dump failure detection using computer vision”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL017, pp. 4456-4459.
G. Favia et al., “Performance improvement studies for the CERN SPS MKDH system”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOPM066, pp. 474-477.
M. Remta, P. A. Arrutia Sota, Y. Dutheil, F. Huhn, and F. Velotti, “Towards tailored beam distributions for fixed target experiments at CERN”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper TUPB018, pp. 987-990.
M. Algelly et al., “Detecting anomalies in non-static environments: continual learning applied to CERN's kicker magnet”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM112, pp. 2924-2927.
F. Huhn, C. Bracco, and F. Velotti, “Time-varying Bayesian optimisation for continual optimal injection in the CERN PS Booster”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM007, pp. 2695-2698.
F. Velotti et al., “Virtual temperature measurements of ferrite in in-vacuum kicker magnets”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM008, pp. 2699-2702.


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