Valid from: Spring 2015
Decided by: FN1/Anders Gustafsson
Date of establishment: 2014-10-07
Division: Electrical and Information Technology
Course type: Third-cycle course
Teaching language: English
The purpose of the course is to give students an insight into the accelerator technology and to inform them of the opportunities they have to operate within the area.
Knowledge and Understanding
For a passing grade the doctoral student must
Introduction to fundamentals of Accelerator Physics involving classical mechanics, electrodynamics and special relativity; Overview of linear accelerators, storage rings for the generation of light, spallation sources and colliders; Description of radio frequency systems, normal conducting and superconducting magnets, cryogenic systems, vacuum systems, and powering systems; Physics of particle beams: longitudinal and transverse beam dynamics, synchrotron radiation, non-linear beam physics, storage ring lattice design, computational methods in beam physics; Introduction to applications using Accelerator Technology in the field of nuclear and particle physics, materials science, medical applications and biology; New accelerator technologies: research on novel acceleration concepts using powerful lasers in plasmas.
Literature will consist of lecture notes and excerpts from various books in accelerator technology.
Types of instruction: Lectures, exercises. The course is given during one week followed by one week of individual problem solving. The daily layout of the first week is four hours of lectures, two hours of supervised problem solving and tutorials, and finally individual problem solving, where solutions are to be presented the following day. The teachers are continually accessible for discussions and supervision. At the end of the first week, problems corresponding to one week of work, are distributed. The solutions of these should be electronically communicated to the teachers.
Examination format: Written assignments.
Approved solutions to all problems and distributed exercises.
Grading scale: Failed, pass
Assumed prior knowledge: Calculus in one and several dimensions, linear algebra, fundamentals of classical physics, basic electrodynamics, classical mechanics.