This is the first of two courses, introducing particle accelerators from a theoretical point of view and covers state-of-the-art modelling techniques.
Objective
You understand the building blocks of particle accelerators. Modern analysis tools allows you to model state-of-the-art particle accelerators. In some of the exercises you will be confronted with next generation machines. We will develop a Python simulation tool (pyAcceLEGOrator) 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 BSc. Level
This lecture is also suited for PhD. students
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course