Summary of MSc lecture series at TU Darmstadt, etit, TEMF by Adrian Oeftiger in 2022/23.
Thirteenth part of a jupyter notebook lecture series, held on 03.02.2023.
Find the rendered PDF slides here.
- Lecture 01: basic concepts (accelerators, time scales, modelling a pendulum)
- Lecture 02: basic concepts (rms emittance, emittance preservation & filamentation, discrete frequency analysis & NAFF)
- Lecture 03: basic concepts (chaos and early indicators, numerical artefacts)
- Lecture 04: longitudinal beam dynamics (acceleration with rf cavities, longitudinal tracking equations)
- Lecture 05: longitudinal beam dynamics (Monte-Carlo technique, synchrotron Hamiltonian, phase space initialisation)
- Lecture 06: longitudinal beam dynamics (simulating transition crossing, equilibrium distributions, emittance growth)
- Lecture 07: transverse beam dynamics (dipole / quadrupole / sextupole magnetic fields, betatron matrices)
- Lecture 08: transverse beam dynamics (Hill differential equation, Floquet theory, optics, off-momentum particles)
- Lecture 09: longitudinal tomography
- Lecture 10: closed orbit correction (local and global)
- Lecture 11: reinforcement learning (Q-learning, actor-critic methods)
- Lecture 12: collective effects (space charge, lambda-prime model, microwave instability)
- Lecture 13: summary
- Lecture 14: Bayesian optimisation