Towards latent space evolution of spatiotemporal dynamics of
six-dimensional phase space of charged particle beams
Towards latent space evolution of spatiotemporal dynamics of
six-dimensional phase space of charged particle beams
Addressing the charged particle beam diagnostics in accelerators poses a formidable challenge, demanding high-fidelity simulations in limited computational time. Machine learning (ML) based surrogate models have emerged as a promising tool for non-invasive charged particle beam diagnostics. Trained ML models can make predictions much faster than computationally expensive physics simulations. …