This is the first of two courses, introducing particle accelerators from a theoretical point of view and covers state-of-the-art modelling techniques.
Learning objective
You obtain a theoretical understanding of the building blocks of particle accelerators. Modern numerical analysis tools allows you to model state-of-the-art particle accelerators. We will develop a Julia simulation tool (JuliAccel.jl) that reflects the theory from the lecture.
Content
Here is the rough plan of the topics, however the actual pace may vary relative to this plan.
- Recap of Relativistic Classical Mechanics and Electrodynamics - Building Blocks of Particle Accelerators - Lie Algebraic Structure of Classical Mechanics and Application to Particle Accelerators - Symplectic Maps & Analysis of Maps - Symplectic Particle Tracking - Collective Effects - Linear & Circular Accelerators
Lecture notes
Lecture notes
Prerequisites / Notice
Physics, Computational Science (RW) at MSc. Level In exceptional cases students at BSc level can attend. This lecture is also suited for PhD. students
Competencies
Subject-specific Competencies
Concepts and Theories
assessed
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course