Speaker
Description
We have been developing an X-band transverse deflector system (X-TDS) with 1 fs time resolution at a deflecting voltage of 80 MV for 8 GeV electron at SACLA, to investigate longitudinal electron beam structures for both SASE and sub-femtosecond XFEL operations, with ongoing efforts toward machine learning–based diagnostics. Longitudinal electron beam structures critically determine XFEL pulse properties. To further enhance XFEL performance and ensure robust operation under the extreme conditions, reliable diagnostics of longitudinal beam structures are essential. The X-TDS system, including RF source, pulse compression, a deflecting cavity, and low-level RF control, is scheduled for installation after the undulator section at SACLA this summer, with first beam operation in autumn. We develop a machine learning–based method to reconstruct phase space from energy–time measurements and relate it to XFEL pulse properties. In this presentation, we introduce the X-TDS system including the high-power test results and propose a data-driven analysis framework for reconstructing longitudinal phase space structures, along with example applications for XFEL performance optimization.
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