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Computational Astrophysics (LAB & LECTURE)
Last Updated: 2026-02-05 16:30:27
Abstract
1. Integration of ODE, Hamiltonians and Symplectic integration techniques, time adaptivity, time reversibility.2. Large-N gravity calculation, collisionless N-body systems and their simulation.3. Fast Fourier Transform and spectral methods in general.4. Eulerian Hydrodynamics: Upwinding, Riemann solvers, Limiters5 Lagrangian Hydrodynamics: The SPH method...
Objective
Acquire knowledge of main methodologies for computer-based models of astrophysical systems,the physical equations behind them, and train such knowledge with simple examples of computer programmes
Content
1. Integration of ODE, Hamiltonians and Symplectic integration techniques, time adaptivity, time reversibility. 2. Large-N gravity calculation, collisionless N-body systems and their simulation. 3. Fast Fourier Transform and spectral methods in general. 4. Eulerian Hydrodynamics: Upwinding, Riemann solvers, Limiters 5 Lagrangian Hydrodynamics: The SPH method 5. Resolution and instabilities in Hydrodynamics 6. Initial Conditions: Cosmological Simulations and Astrophysical Disks 7. Physical Approximations and Methods for Radiative Transfer in Astrophysics
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Computational Astrophysics (LAB & LECTURE) | No time listed | 2 h weekly |
Offered In
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Deep Track Courses (At least 20 credits must be completed within the deep track courses. Surplus credit points can be counted towards the electives.)
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Deep Track Earth Observation (These courses can be credited either as a specialization subject or as an elective subject.)
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