Date of this Version
Nathan Ray, Vida-Michelle Nixon, and Matthias Fuchs, Optimization of Magnetic Chicane for Maximum Electron Beam Compression, UCARE Poster Presentation, University of Nebraska-Lincoln, April 2018.
Research concerned with optimizing a negatively chirped, relativistic, short electron beam using General Particle Tracer (GPT). The GPT simulations have the ability to include realistic beam effects such as space charge, fringe fields and emittance. A series of electron beam energy spreads were simulated through several different iterations of dipole magnets and, utilizing GPT's optimization ability, the most consistent set of parameters was selected and displayed on the poster. With our presented iteration of parameters we noted a 89.5% compression of the electron beam along the propagating axis.