Speaker
Description
As the design complexity of modern accelerators grows, there is more interest in using advanced simulations that have fast execution time or yield additional insights like gradients. The FAST/IOTA facility has been working on implementing and experimentally validating an end-to-end digital twin that is both fast and gradient-aware, allowing for rapid prototyping of new software and experiments with minimal beam time costs. Our framework integrates physics and ML codes for linac and ring simulation through a set of generic interfaces between surrogate and physics-based sections. To reproduce device inputs and outputs, system state is exposed as a deterministic discrete event simulator. Both EPICS and ACNET frontends are supported and can operate in parallel. Recently, we transitioned to the new PALS community lattice standard, expanding use-cases to other facilities. We are also developing infrastructure for data ingest and normalization/tokenization to support running model calibration techniques from simple parameter fitting to full Bayesian inference. All of the above functionality is currently being validated during IOTA proton injector commissioning. We discuss implementation details as well as challenges, and future plans to extend modelling to main complex proton accelerators - PIPII and Booster.
| In which format do you inted to submit your paper? | LaTeX |
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