Explores advanced concepts in particle accelerators and their applications of artificial intelligence, including machine learning libraries and anomaly detection.
Explores dielectric laser accelerators, covering Lawson-Woodward Theorem, accelerating structures, waveguides, laser-driven acceleration, and first experiments at SLAC.
Explores free electron lasers, covering light sources, brilliance, X-ray sources, FEL modes, and electron beam requirements.
Explores advanced concepts in particle accelerators, including magnets, novel techniques, instrumentation, optimization, diagnostics, safety measures, storage rings, and synchrotron light monitors.
Explores particle accelerator dynamics, transfer maps, Hamiltonian equations, and phase space conservation.
