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Author: L. bougueroua


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Reference
J. Szumega, B. Gkotse, P. Jouvelot, F. Ravotti, and L. bougueroua, “Machine learning for the anomaly detection and characterization of the 24 GeV/c proton beam at CERN IRRAD Facility”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM110, pp. 2917-2920.
J. Szumega et al., “Characterization of an IRRAD beam profile monitor at the CERN T8 beamline and possible improvements via cross-analysis with multiwire proportional chamber”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM111, pp. 2921-2923.
J. Szumega, L. Bougueroua, B. Gkotse, P. Jouvelot, G. Pezzullo, and F. Ravotti, “Prospects for the Introduction of Digital Twins in Experimental Facilities – an Integration of Facility Data Management Systems with Machine Learning-based Techniques”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6166, this conference.
J. Szumega, L. Bougueroua, B. Gkotse, P. Jouvelot, N. Minafra, and F. Ravotti, “Autoencoder Architectures For Beam Anomaly Detection And Statistical Distribution Characterization”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6022, this conference.


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