Christoph Pfrommer |
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Modern Computational Astrophysics: Concepts and ApplicationsNearly all theoretical astrophysics research as well as a substantial part of observational astronomy requires an expert knowledge of computational techniques. The topics range from ordinary and partial differential equations which find applications in the laws of gravitation, hydrodynamics or diffusion, to Fourier techniques, to collisionless systems. The objectives of this course are to endow students with the capacity to identify and classify common numerical problems in modern astrophysics. The course aims at an active understanding of numerical methods and algorithms, their ranges of applicability and teaches the underlying physical concepts. Solving basic astrophysical problems with adequate numerical techniques and determining the range of validity is an essential part of the course. Lecturers:Prof. Christoph Pfrommer & Dr. Marcel PawlowskiPlace and Dates:The lectures take place every Thursday, at 10:15-11:45 in room 2.28.2.011 (starting on November 5, 2020). The exercise classes take place right before, every Thursday, at 08:15-09:45 in room 2.28.0.087 (starting in the second week on November 12, 2020).Note that this course is complemeted by a Seminar on Computational Astrophysics that takes place on Thursday evening, at 18:15 bis 19:45. The first meeting will be on Nov 5 on zoom. The lectures are based on the revised lecture notes originally written by Prof. Springel (Max-Planck Institute for Astrophysics) and are available as a PDF file (password protected). Contents:Homework AssignmentsAll homework assignments and sample code can be obtained via this link (password protected).Python Preparatory Course:If you would like to refresh your python knowledge, there are many good tools on the web. We recommand the following Online Python Course (password protected).Credit Points:Credit points for this lectures can be used for the Master Science Astrophysics Modules PHY-765.Grades and credit points are given on the basis of an oral exam. To be eligible for this exam, you need to obtain at least 50% of the points of your homework assignments. |