Universität Wien

280505 VU PM-Nawi Methods for understanding the evolution of galaxies and their dark matter halos (PI) (2019S)

Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: German

Lecturers

Classes

Seminarraum 2 - Sternwarte:

Montag 16.09.
10:00 - 11:30
14:00 - 15:30

Dienstag 17.09.
10:00 - 11:30
14:00 - 15:30

Mittwoch 18.09.
10:00 - 11:30
14:00 - 15:30

Donnerstag 19.09.
10:00 - 11:30
14:00 - 15:30

Freitag 20.09.
10:00 - 11:30
14:00 - 15:30

Donnerstag 26.09.
09:45 - 11:15
13:00 - 14:45

Freitag 27.09.
09:45 - 11:15
13:00 - 14:45


Information

Aims, contents and method of the course

This course will provide a sample of the exciting new methods that astrophysicists are using to understand how galaxies evolve, and the nature of the dark matter halos they live in. The lectures will explore the physics of galaxy evolution by discussing recent observational results which have lead theorists to explore the mutual impact that baryons (stars, gas) and dark matter have on each other. Some of these topics will relate to the internal processes which drive galaxy evolution, for example feedback from stellar explosions, while others will focus on the variety of environmental processes which can transform galaxies and their dark matter halos. In addition to physical descriptions of these processes, the lectures will show cutting-edge examples of observational and theoretical tools are used in the field to explore the impact of each process. For example, how chemical abundances or the motions of stars help us infer the structure of the dark matter halo; or how we can learn about the invisible past merger history of a galaxy (and its super massive black holes). We will attempt to simulate the impact of these processes with common analytic and numerical tools during some of the group exercise portions - in essence 'building' a galaxy step by step over the duration of the course, and evolving it on a simple desktop/laptop computer. It is envisioned that some lectures can be adapted to interests of the students in the class, and the exercises (see below for more details) will occur in a collaborative environment. All aspects of the course will be given in English.

Assessment and permitted materials

Attendance in the lectures, participation in the collaborative exercises on numerically building and evolving a galaxy, and a short report on a literature paper addressing a topic of interest are envisioned to be the primary assessment criteria.

Minimum requirements and assessment criteria

Interest in (astro)physics, interest in statistical or computational tools that will transfer to other career paths (e.g., data science in industry). Some (collaborative) aspects of the course will involve coding in Python/IDL, but will presented in a way such that no prior coding experience is needed. Any computations can be done on web/cloud based public Python servers through a simple internet browser, but a personal laptop is not required - the computer lab at the institute should be sufficient, and this aspect of the exercise segment of the class will be rather fluid to adapt to the resources, time and experience of the students. Enthusiasm, creativity and willingness to problem-solve, and desire to learn new skills which will aid the students in research or industry are the most important - and hopefully all will be developed throughout the course.

Examination topics

A short oral or written presentation summarizing some aspects of the collaborative numerical galaxy evolution models the student worked on during the exercises, and how they relate to a paper on a topic of the student's interest.

Reading list

Will be provided in Early September

Association in the course directory

Last modified: Tu 27.08.2019 19:08