Checking date: 30/05/2019


Course: 2019/2020

Computational Plasma Physics
(15046)
Study: European Master in Nuclear Fusion Science and Engineering Physic (273)
EPI


Coordinating teacher: SANCHEZ FERNANDEZ, LUIS RAUL

Department assigned to the subject: Department of Physics

Type: Electives
ECTS Credits: 6.0 ECTS

Course:
Semester:




Students are expected to have completed
Plasma Physics. Computational Physics.
Competences and skills that will be acquired and learning results.
- Reach an advanced level of proficiency in the use of basic simulation algorithms (finite differences, Monte Carlo methods, etc.) - Reach an introductory level of knowledge on advanced simulation techniques (spectral methods, Lagrangian methods, etc.) - Be able to simulate numerically a complex problem in plasma physics: algorithm selection, implementation, benchmarking and solution.
Description of contents: programme
Part I: Analysis of time series I.1 Linear Analysis: Correlation functions, Fourier analysis, Wavelets analysis I.2 Nonlinear Analysis: bi-coherence, bi-spectral analysis, multifractal analysis. Part II: Plasma Simulation II.1 Finite differences II.2 Finite elements II.3 Spectral and pseudo-spectral methods II.4 Particle methods (PIC, SPH, etc.) Part III: Introduction to parallel programming
Learning activities and methodology
- Topics are discussed in class with the help of slides that are provided to students. - Selected projects from the area of fusion plasmas are handed to the students that, in small groups, must work through them, simulate them numerically, and present them in class at the end of the course.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Basic Bibliography
  • C. Canuto et al. Spectral Methods in Fluid Dynamics. Springer-Verlag. 1988
  • Chuen-Yen Chow. Introduction to Computational Fluid Mechanics. John Wiley and Sons. 1979

The course syllabus and the academic weekly planning may change due academic events or other reasons.