Speaker
Description
The Argonne Wakefield Accelerator (AWA) test facility has recently upgraded its in-house centralized control system to a modularized system using the EPICS control ecosystem, in a move to align with other large facilities and facilitate external collaboration to explore the implementation of machine learning techniques to beamline control and optimization. In particular, we aim to develop and demonstrate several individual autonomous optimization routines, which can then further be implemented into a sequential optimization routine in effort to automate various complex beam control tasks. We report here on the new control scheme and initial optimization routines so far tested in the commissioning phase of a recently upgraded photoinjector. Additionally, we discuss the near-term plans for further optimization routine testing
| Working group | WG5 |
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