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Persistent URL http://purl.org/net/epubs/work/65850249
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Record Id 65850249
Title Transverse phase space tomography at CLARA using generative machine learning
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Abstract CLARA is a high-brightness electron beam facility at STFC Daresbury Laboratory, aiming to deliver ultra-short electron bunches to a wide range of user experiments. CLARA has recently resumed operations after a major upgrade, and is currently undergoing beam commissioning at its nominal energy (250 MeV) and bunch charge (250 pC). During commissioning, studies of the transverse beam dynamics will be vital for optimizing the accelerator’s performance, and for validating the simulation models used during its design. Phase space tomography is a powerful technique for reconstructing a beam’s charge distribution in phase space; recent machine learning advances have led to faster, higher-resolution tomographic methods such as generative phase space reconstruction. In this contribution, we present detailed measurements of the 4D transverse phase space at CLARA.We validate the reconstructed phase spaces by using them to accurately predict the appearance of the electron beam for different beam optics configurations. Our results demonstrate methods that are now used for routine characterization of the CLARA beam, and represent the first emittance measurements at the accelerator’s design energy.
Organisation ASTeC , ASTeC-AP , ASTeC-MaRS , CI , STFC , CLARA , CLARA-ACC
Keywords CLARA , Tomography , ASTeC , FEBE
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Language English (EN)
Type Details URI(s) Local file(s) Year
Paper In Conference Proceedings In 17th International Particle Accelerator Conference (IPAC 26), Deauville, France, 17-22 May 2026, (2026). IPAC26 WEP6092 Paper.pdf 2026