Speaker
Description
Comprehensive knowledge of the six-dimensional phase space distribution of particle beams is critical for optimizing accelerator performance. While conventional diagnostics such as transverse deflecting cavities enable detailed characterization, they require dedicated hardware and significant beamline space. Generative phase space reconstruction (GPSR) techniques have emerged as a promising alternative for beam diagnostics; however, previous implementations have continued to rely on specialized components.
An experimental implementation and validation of a GPSR methodology based solely on standard accelerator elements, including accelerating cavities and dipole magnets, is presented. The approach enables full six-dimensional phase space reconstruction without the need for dedicated longitudinal diagnostics. Simulation studies and experimental measurements conducted at the Pohang Accelerator Laboratory X-ray Free Electron Laser facility demonstrate successful reconstruction of complex and nonlinear beam structures.
The methodology is validated by predicting independent downstream beam measurements that are excluded from the reconstruction process, with the inferred phase space distributions showing close agreement with the corresponding reference data. These results establish a pathway toward predictive, hardware-efficient beam diagnostics applicable across multiple beamline segments and accelerator facilities.
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