FU:TFNPF0005 Numerical Relativity - Course Information
TFNPF0005 Numerical Relativity
Institute of physics in Opavasummer 2025
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Martin Urbanec, Ph.D. (lecturer)
Mgr. Martin Urbanec, Ph.D. (seminar tutor) - Guaranteed by
- Mgr. Martin Urbanec, Ph.D.
Institute of physics in Opava - Prerequisites (in Czech)
- (FAKULTA(FU) && TYP_STUDIA(N))
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Computer physics (programme FU, TFYZNM)
- Course objectives
- Course introduces students to solution of problems of numerical relativity. Goal of the course is to study spacetimes where analytical description does not exist. This is the case of dynamical spacetimes, but also of some stationary or even static spacetimes. Course cover general introduction to the subject.
- Learning outcomes
- Students are introduced to methods of numerical relativity.
- Syllabus
- Course is organised as follows
- General relativity
- Gravitational waves
- Neutron stars
- 3+1 decomposition of Einstein field equations
- Basic numerical methods used in numerical relativity
- 1+1 relativity
- Spherically symmetric spacetimes
- Axially symmetric spacetimes
- Gravitational collapse
- Rotating neutron stars
- Binary systems of black holes and neutron stars
- Public codes for numerical relativity (LORENE, Cactus, Whisky, Einstein toolkit)
- Literature
- recommended literature
- T. W. Baumgarte and S. L. Shapiro. Numerical Relativity: Solving Einstein's Equations on the Computer. Cambridge University Press, 2010. info
- Rezzolla, L., Zanotti, O. Relativistic Hydrodynamics, Oxford University Press, 2013
- Gourgoulhon, E. 3+1 Formalism and Bases of Numerical Relativity, https://arxiv.org/pdf/gr-qc/0703035.pdf
- Wilson, J. R., Mathews, G. J. Relativistic Numerical Hydrodynamics, Cambridge University Press, 2013
- Teaching methods
- Lectures, numerical exercises
- Assessment methods
- oral exam - discussion of home assignments attendance at exercises (at least 75%)
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (summer 2025, recent)
- Permalink: https://is.slu.cz/course/fu/summer2025/TFNPF0005