AI/ML-driven alignment, stabilization and control of beamline optics at the Advanced Photon Source Upgrade

Abstract We report on studies and experiments we carried out at the Advanced Photon Source (APS) at Argonne National Laboratory to develop automatic optics alignment and wavefront control systems, supported by artificial intelligence technologies and advanced real-time wavefront sensing techniques. The ultimate goal is to achieve near-perfect wavefront control and support APS beamlines and user to achieve and maintain the beam properties at the sample, while at the same freeing the operator and the user from the burden of lengthy manual alignment and beam optimization. We discuss the prototype systems we developed and successfully tested at a beamline. These systems are engineered to manage the optics of the featured beamlines of the new synchrotron.