Lehrinhalte
[list]
[*]Illustration of accuracy requirements on numerical methods using simple examples from accelerator physics
[*]Methods for numerical field computation of accelerating cavities and magnets
[*]Stability analysis and eigenvalue problems in accelerator physics
[*]Methods for particle tracking in electromagnetic fields
[*]Techniques for sampling beam distribution functions
[*]Methods for selfconsistent numerical integration of a beam distribution function in electromagnetic fields
[*]Surrogate modelling for control room applications
[*]Interactive (python) notebooks and example scripts for every discussed method and application
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Literature
Lecture slides and material including example (python) scripts will be available for download. Further literature references will be given over the course of the lectures.

Voraussetzungen
BSc in etit or Physics

Semester: Inverno 2022/23