FA222 Star Clusters

Faculty of Science
Spring 2023
Extent and Intensity
2/1/0. 1 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
Teacher(s)
doc. Ernst Paunzen, Dr.rer.nat (lecturer)
Mgr. Michal Prišegen, Ph.D. (seminar tutor)
Tahereh Ramezani (seminar tutor)
Guaranteed by
doc. Ernst Paunzen, Dr.rer.nat
Department of Theoretical Physics and Astrophysics – Physics Section – Faculty of Science
Supplier department: Department of Theoretical Physics and Astrophysics – Physics Section – Faculty of Science
Timetable
Wed 11:00–12:50 Fs1 6/1017, Wed 17:00–17:50 F4,03017
Prerequisites
The course is for all students after the second year of study with a basic knowledge about physics and astrophysics. The main language of the course will be English.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
At the end of this course, students should be able to understand the characteristics of star clusters and their importance to many other fields of astrophysics.
Learning outcomes
- understanding the formation and evolution of star clusters and the Milky Way
- knowledge about the kinematics and structure of star clusters and the Milky Way
- understanding of star cluster members and populations
- observational techniques applied to star clusters
- understanding of Gaia DR2 and EDR3 data
- fitting of isochrones and determination of astrophysical parameters
- overview of the most important astrophysical mechanism
- advanced archival search and analysis of scientific data
Syllabus
  • Outline:
  • - 1. Open clusters
  • - 2. Globular clusters
  • - 3. Moving groups
  • - 4. Stellar associations
  • - 5. Extragalactic star clusters
  • - 6. Formation and evolution of star clusters
  • - 7. Observational constraints
  • - 8. Parameter determination methods
  • - 9. N-body simulations
  • - 10. Gaia and star clusters
  • - 11. Databases and surveys (Webda, GAIA-ESO survey, ...)
Literature
  • Moitinho, 2012, Star Clusters in the Era of Large Surveys Star Clusters in the Era of Large Surveys
Teaching methods
Classic lectures, practical works and class exercises.
Assessment methods
Successful passing of this course will be granted after the processing of practical works, fulfilment of participation condition, passing of the exam.
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2014, Spring 2015, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2023, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2023/FA222