## Andreas Adelmann: Catalogue data in Autumn Semester 2020 |

Name | Dr. Andreas Adelmann |

Address | Universitätstrasse 6 CAB H 85.1 8092 Zürich SWITZERLAND |

Telephone | 044 632 75 22 |

andreaad@ethz.ch | |

URL | http://amas.web.psi.ch/people/aadelmann/index.html |

Department | Physics |

Relationship | Lecturer |

Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|

401-5810-00L | Seminar in Physics for CSE | 4 credits | 2S | A. Adelmann | |

Abstract | In 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. | ||||

Objective | To teach students the topics of current interest in computational and theoretical physics. | ||||

402-0777-00L | Particle Accelerator Physics and Modeling I | 6 credits | 2V + 1U | A. Adelmann | |

Abstract | 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 | ||||

402-0809-00L | Introduction to Computational Physics | 8 credits | 2V + 2U | A. Adelmann | |

Abstract | This 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. | ||||

Objective | Students 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. | ||||

Content | Introduction 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 notes | Lecture notes and slides are available online and will be distributed if desired. | ||||

Literature | Literature recommendations and references are included in the lecture notes. | ||||

Prerequisites / Notice | Lecture and exercise lessons in english, exams in German or in English | ||||

402-0809-01L | Introduction to Computational Physics (for Civil Engineers) | 4 credits | 2V + 1U | A. Adelmann | |

Abstract | This 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. | ||||

Objective | Students 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. | ||||

Content | Introduction 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 notes | Lecture notes and slides are available online and will be distributed if desired. | ||||

Literature | Literature recommendations and references are included in the lecture notes. | ||||

Prerequisites / Notice | Lecture and exercse lessons in english |