Speaker
Description
We present a software framework for digital shadows (one‑way data flow) and digital twins (two‑way closed‑loop synchronisation) for particle accelerators, linking physical machines with virtual counterparts to enable predictive modelling, automated control and improved facility design. The architecture comprises a coherent chain of tools that maintain a unified description of the accelerator. At its core, the LAURA ontology defines the accelerator lattice, while the SIMBA simulation framework utilises LAURA-defined models to perform start‑to‑end particle tracking across multiple codes. These elements integrate with pyCATAP for control‑system access and SARABI, which produces soft EPICS IOCs from the LAURA lattice, ensuring consistency across virtual and physical systems. This architecture is under active development for the CLARA accelerator, the ISIS injector, and other accelerator facilities: we present digital shadow results and the initial steps to digital twinning. The approach establishes a foundation for a community‑driven, interoperable digital twin ecosystem for particle accelerators.
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