Speaker
Description
A flexible simulation scheme has been developed as a high-level Python wrapper around RF-Track to enable fully self-consistent simulations of recirculating and energy-recovery linear accelerators (ERLs). This framework dynamically routes multi-bunch beams through multiple beamlines based on their evolving phase-space parameters and is integrated directly into the RF-Track tracking workflow. Within this scheme, a wakefield model has been implemented that enables higher-order modes to be self-consistently excited and evaluated over successive recirculation passes. This approach enables realistic modelling of multi-pass beam dynamics, including the accumulation of wakefields from previously transported bunches. Two independent benchmarking campaigns have been carried out. The recirculation scheme has been benchmarked against MAD-X and Bmad/Tao, demonstrating consistent beam transport and routing behaviour across multiple passes. Separately, the wakefield model was validated against Xwakes, showing close agreement and confirming the correct implementation of wakefield effects. These results demonstrate the robustness of the approach and provide a pathway toward comprehensive start-to-end simulations of ERL operation.
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