FU:OAVENPVB09 Numerical Relativity - Course Information
OAVENPVB09 Numerical Relativity
Institute of physics in Opavasummer 2022
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Martin Urbanec, Ph.D. (lecturer)
RNDr. Kateřina Klimovičová, Ph.D. (seminar tutor) - Guaranteed by
- Mgr. Martin Urbanec, Ph.D.
Institute of physics in Opava - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Observational High Energy Astrophysics (programme FU, OBAFYVENM)
- 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
- required literature
- Wilson, J. R., Mathews, G. J. Relativistic Numerical Hydrodynamics, Cambridge University Press, 2013
- Rezzolla, L., Zanotti, O. Relativistic Hydrodynamics, Oxford University Press, 2013
- Baumgarte, T. W., Shapiro, S. L. Numerical Relativity: Solving Einstein's Equations on the Computer, Cambridge University Press, 2010
- recommended literature
- Gourgoulhon, E. 3+1 Formalism and Bases of Numerical Relativity, https://arxiv.org/pdf/gr-qc/0703035.pdf
- Teaching methods
- Lectures, numerical excercises
- 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 2022, recent)
- Permalink: https://is.slu.cz/course/fu/summer2022/OAVENPVB09