Explores practical applications in nonlinear dynamics, emphasizing symplectic integration methods and thin lens approximations for accurate computations in accelerator physics.
Explores accelerator applications in society, from science to medicine, and reflects on the role of accelerators in driving theoretical understanding and scientific discovery.
Explores advanced concepts in particle accelerators and their applications of artificial intelligence, including machine learning libraries and anomaly detection.
