Analytic and Machine Learning Methods for Controlling Nonlinearities in Particle Accelerators

Lipi Gupta
Particle accelerators are versatile machines which make both particle physics research and probing nature at microscopic scales possible. At advanced light source facilities, high energy charged particles are used to produce energetic photons. The light generated can resolve atomic structures at Angstrom length scales and observing processes occurring at femtosecond time scales. To achieve this, advancements in methods for designing and controlling nonlinear phenomena in the accelerator is crucial. In machines with periodic structures such...
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