Fast prediction of electron-beam parameters using transfer maps and machine learning in a digital model of a MeV $\gamma \gamma$ collider

Jiawei Zhang, Yongsheng Huang, Yuancun Nie +3

Tuning the electron beam of a MeV-scale $\gamma \gamma$ collider, first in the design and later in a digital twin of the machine, requires the beam parameters at the interaction point (IP) fo…