FU:TFNPV0006 Dense Matter Eqs of State - Course Information
TFNPV0006 Dense Matter Equations of State
Institute of physics in Opavawinter 2020
- 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 - 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
- Particle physics (programme FU, TFYZNM)
- Computer physics (programme FU, TFYZNM)
- Relativistic astrophysics (programme FU, TFYZNM)
- Course objectives
- Students are introduced to properties of dense matter - matter that is typical for cores of compact stars
- Learning outcomes
- Student will understand behaviour of dense matter
- Syllabus
- The course is organised as follows
- Equation of state, thermodynamical and statistical description of dense matter
- Fermions at high densities
- Boson at high densities
- Description of matter at low temperature limit
- Influence of temperature on equation of state of neutron star matter
- Superfluidity - basic description and examples
- Superfluidity and superconductivity at cores of neutron stars
- Phase transitions in dense nuclear matter
- Equation of state and matter of supernovae
- Equations of state of exotic matter (hyperons, quark matter)
- Influence of magnetic fields on equations of state
- Experimental tests of equations of state I - high and medium temperatures (LHC, RHIC, CBM ...)
- Experimental tests of equations of state II - low temperature limit
- Teaching methods
- Lectures, problem solving
- Assessment methods
- oral and written exam, mandatory presence at exercises (at least 75%)
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (winter 2020, recent)
- Permalink: https://is.slu.cz/course/fu/winter2020/TFNPV0006