2 papers
physics.acc-ph2026
Flow-based surrogate models for particle tracking
Matthias Remta, Yann Dutheil, Francesco Velotti
Particle tracking is a fundamental tool for particle-accelerator design and optimisation. Conventional tracking routines provide high accuracy but are computationally demanding, es…
physics.acc-ph2026
Particle tracking with physics-informed deep learning methods
Matthias Remta, Anja Beck, Shanthalakshmi Kilambi +2
Simulating the motion of charged particles in electromagnetic fields is essential for designing and optimising particle accelerators. Conventional tools rely on symplectic integrat…