Speaker
Description
An ML-based optimizer has been working on maximizing XFEL performance at SACLA [1]. The spectral brightness of XFEL was successfully optimized by using a new high-resolution inline spectrometer [2]. To improve the XFEL performance further, we plan to enhance beam diagnostics and simulation environments for the ML-based optimizer. As for beam diagnostics, we are developing an X-band RF deflecting structure to measure the longitudinal phase-space profile of an electron beam after the undulator beamline. The temporal resolution is expected to be better than 1 fs. We will be able to observe the lasing part of the electron beam and the precise longitudinal phase-space information will contribute to improving the XFEL performance by using an ML-based optimizer. The simulations of an electron beam and XFEL are also important for the temporal phase-space analysis after lasing. Therefore, we are developing an ecosystem for a smooth connection between the simulation tools, such as the XFEL simulation code SIMPLEX [3]. In this presentation, we will show the development status and plans for these enhancements.
