Speaker
Description
High-fidelity virtual replicas of accelerator facilities, otherwise known as digital twins, are becoming increasingly desirable tools that many labs are seeking to add to their arsenal. Numerous hurdles can prevent the successful integration of a digital twin into the day-to-day operation of the machine, including control system integration, model fidelity, and processing speed, not to mention the generalizability of any specific solution for a given accelerator. The CLARA facility at Daresbury Laboratory has recently deployed a prototype digital twin using the JANUS framework, which seeks to provide a general-purpose digital twin solution for accelerators. This contribution outlines the architecture of the framework, the steps taken to connect the tool with the real control system, and the work required to deliver a fully integrated, generic digital twin. A dedicated AI/ML test facility could be pivotal for assessing deployment techniques needed for wider implementation.
