Speaker
Description
Beams with significant correlations between different phase spaces are increasingly important for advanced accelerator applications. A prime example is magnetized beams, where cross-plane correlations between the 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 particularly relevant to hadron cooling using cold electron beams. In this paper, we investigate the generation of magnetized beams and their transformation into flat beams through the removal of correlations. Conversely, we demonstrate the novel generation of magnetized beams from initially flat-beam distributions. 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 within the 4D transverse phase space. We present a comprehensive analysis of the beam dynamics governing these transformations, supported by experimental demonstrations of both the beam manipulation techniques and the 4D phase-space reconstruction methodology.
