2026 Workshop on Fixed Field Alternating Gradient Accelerators (FFA'26)

Simulation of Space-Charge Effects in Scaling FFAs with the PyFFA Code

Not scheduled

20m

The University of Melbourne

Contributed Talk

Speaker

Kai Zhou (Institute of High Energy Physics (IHEP), Chinese Academy of Sciences (CAS))

Description

PyFFA is a Python-based simulation code for beam-dynamics studies in scaling fixed-field alternating-gradient accelerators (FFAs). This work presents its space-charge simulation capability for high-intensity beams. To accommodate long, curved bunches and closed orbits that vary with beam energy, PyFFA dynamically reconstructs the reference coordinate system as the bunch evolves. This enables consistent modeling of both transverse and longitudinal space-charge effects. The simulation results are compared with theoretical predictions and show good agreement, demonstrating the reliability of PyFFA for space-charge studies in scaling FFAs.