Sprecher
Beschreibung
This talk reviews intelligent automation systems being developed for laser plasma accelerators (LPAs) at the Berkeley Lab Laser Accelerator (BELLA) center in collaboration with Berkeley Accelerator Controls and Instrumentation (BACI) program. For the next generation high average power fiber lasers we showed efficient and stable coherent laser combining in space and time with Field Programmable Gate Arrays based accelerated machine learning (ML) controllers. For the BELLA petawatt system we have shown that we can halve laser pointing fluctuations using ML to predict and correct for pointing errors. For our FEL, we have improved electron beam stability with both transverse and longitudinal focus stabilization systems and demonstrated 1000x FEL gain. With Baysian optimization using Xopt we are looking to further increase electron beam brightness and gain. These developments underscore the transformative potential of ML and advanced control systems in enhancing LPA performance and its practical application in high-power laser systems.
