Andreas Adelmann: Catalogue data in Autumn Semester 2020

Name Dr. Andreas Adelmann
Address
Universitätstrasse 6
CAB H 85.1
8092 Zürich
SWITZERLAND
Telephone044 632 75 22
E-mailandreaad@ethz.ch
URLhttp://amas.web.psi.ch/people/aadelmann/index.html
DepartmentPhysics
RelationshipLecturer

NumberTitleECTSHoursLecturers
401-5810-00LSeminar in Physics for CSE4 credits2SA. Adelmann
AbstractIn this seminar, the students present a talk on an advanced topic in modern theoretical or computational physics. An implementation of an advanced algorithm can also be presented.
ObjectiveTo teach students the topics of current interest in computational and theoretical physics.
402-0777-00LParticle Accelerator Physics and Modeling I6 credits2V + 1UA. Adelmann
AbstractThis is the first of two courses, introducing particle accelerators from a theoretical point of view and covers state-of-the-art modelling techniques.
ObjectiveYou 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.
ContentHere 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 notesLecture notes
Prerequisites / NoticePhysics, Computational Science (RW) at BSc. Level

This lecture is also suited for PhD. students
402-0809-00LIntroduction to Computational Physics8 credits2V + 2UA. Adelmann
AbstractThis course offers an introduction to computer simulation methods for physics problems and their implementation on PCs and super computers. The covered topics include classical equations of motion, partial differential equations (wave equation, diffusion equation, Maxwell's equations), Monte Carlo simulations, percolation, phase transitions, and complex networks.
ObjectiveStudents learn to apply the following methods: Random number generators, Determination of percolation critical exponents, numerical solution of problems from classical mechanics and electrodynamics, canonical Monte-Carlo simulations to numerically analyze magnetic systems. Students also learn how to implement their own numerical frameworks and how to use existing libraries to solve physical problems. In addition, students learn to distinguish between different numerical methods to apply them to solve a given physical problem.
ContentIntroduction to computer simulation methods for physics problems. Models from classical mechanics, electrodynamics and statistical mechanics as well as some interdisciplinary applications are used to introduce the most important object-oriented programming methods for numerical simulations (typically in C++). Furthermore, an overview of existing software libraries for numerical simulations is presented.
Lecture notesLecture notes and slides are available online and will be distributed if desired.
LiteratureLiterature recommendations and references are included in the lecture notes.
Prerequisites / NoticeLecture and exercise lessons in english, exams in German or in English
402-0809-01LIntroduction to Computational Physics (for Civil Engineers)4 credits2V + 1UA. Adelmann
AbstractThis course offers an introduction to computer simulation methods for physics problems and their implementation on PCs and super computers. The covered topics include classical equations of motion, partial differential equations (wave equation, diffusion equation, Maxwell's equations), Monte Carlo simulations, percolation, phase transitions, and complex networks.
ObjectiveStudents learn to apply the following methods: Random number generators, Determination of percolation critical exponents, numerical solution of problems from classical mechanics and electrodynamics, canonical Monte-Carlo simulations to numerically analyze magnetic systems. Students also learn how to implement their own numerical frameworks and how to use existing libraries to solve physical problems. In addition, students learn to distinguish between different numerical methods to apply them to solve a given physical problem.
ContentIntroduction to computer simulation methods for physics problems. Models from classical mechanics, electrodynamics and statistical mechanics as well as some interdisciplinary applications are used to introduce the most important object-oriented programming methods for numerical simulations (typically in C++). Furthermore, an overview of existing software libraries for numerical simulations is presented.
Lecture notesLecture notes and slides are available online and will be distributed if desired.
LiteratureLiterature recommendations and references are included in the lecture notes.
Prerequisites / NoticeLecture and exercse lessons in english