This is the first of two courses, introducing particle accelerators from a theoretical point of view and covers state-of-the-art modelling techniques.
Lernziel
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.
Inhalt
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
Skript
Lecture notes
Voraussetzungen / Besonderes
Physics, Computational Science (RW) at BSc. Level
This lecture is also suited for PhD. students
Leistungskontrolle
Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs