Speaker
Description
Manipulating phase space of the beam distribution is increasingly important not only for advanced accelerator concepts but also for X-ray free electron lasers (FELs). In the case of hadron cooling, a prime example is magnetized beams, where cross-plane correlations between two transverse phase spaces dominate the beam dynamics. Precisely controlling these cross-plane couplings—either by introducing or eliminating them in beams with high transverse emittance ratios—is highly relevant. In the case of the FELs, specific examples include the suppression of double-horn shape in the longitudinal phase space and non-linear bunch compression while preserving transverse emittance, where understanding the phase space with coupled information is advantageous for its control against collective effects. These sophisticated manipulations rely on precise phase space diagnostics, for which we apply an AI/ML-based phase space reconstruction algorithm capable of accurately determining all cross-plane correlations. We present a comprehensive analysis of beam dynamics, supported by experimental demonstrations of both the beam manipulation techniques and the phase-space reconstruction methodology.