27 September 2026 to 1 October 2026
Hilton San Francisco - Financial District
America/Los_Angeles timezone

MACHINE LEARNING – DRIVEN OPTIMIZATION OF POSITIVE ION BEAMS ON THE LUTEX IRRADIATION FACILITY

29 Sept 2026, 16:00
2h
Hilton San Francisco - Financial District

Hilton San Francisco - Financial District

750 Kearny Street, San Francisco, CA 94108
Poster Presentation Poster session

Speaker

Antoine Breteaux (École Nationale Supérieure d'Ingénieurs de Caen)

Description

LUTEX (Ligne pour UTilisateurs EXternes) is a high performance irradiation facility providing the world’s largest testing area (400 × 700 $mm^2$). It delivers light-ion beams with very high fluxes at 300 keV/u (∼5000km/s) for H+ up to 4×$10^{9}$ protons/$cm^2$/s. This enables rapid reproduction of extreme exposure conditions and allows for short time qualification of a material lifetime. For comparison,a typical solar storm reaches only 3keV/u (∼600km/s) and 0.2 protons/$cm^2$/s.
Operating a continuous accelerator such as LUTEX requires achieving beam stability conditions on energy and current over a long period of time tailored to experimental needs. The difficulty resides in the change of a large number of input parameters, in their nonlinear interactions and in the variability of irradiation conditions.
Pantechnik is developing a Machine Learning model designed to facilitate beam tuning, to optimize beam quality,and to predict parameters required for production of continuous beam. The model exploits data collected from plasma generation, extraction, transport, separation, and dose measurements to learn the relationship between machine settings and resulting beam performances. After data preprocessing and feature extraction, several approaches, including Bayesian optimization and nonlinear regression methods, will be benchmarked to predict and optimize the beam current as a function of operating parameters.

Classification MC6: Applications and diagnostics
I have read and accept the Privacy Policy Statement Yes

Author

Antoine Breteaux (École Nationale Supérieure d'Ingénieurs de Caen)

Co-authors

Mr David Zanuttini (Pantechnik) Mr Jean-Claude Angelique (École Nationale Supérieure d'Ingénieurs de Caen, Laboratoire de Physique Corpusculaire de Caen) Mr Matthieu Denoual (École Nationale Supérieure d'Ingénieurs de Caen, GREYC) Mr Vincent Bertrand (Pantechnik)

Presentation materials

There are no materials yet.