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Computational Astrophysics: Stars and Planet Formation
Provider: Faculty of Science

Activity no.: 5894-18-11-31 
Enrollment deadline: 16/11/2018
PlaceNiels Bohr Institute
Date and time20.11.2018, at: 09:00 - 30.01.2019, at: 16:00
Regular seats60
ECTS credits7.50
Contact personJulie Meier    E-mail address: juliemh@nbi.ku.dk
Enrolment Handling/Course OrganiserTroels Haugbølle    E-mail address: haugboel@nbi.ku.dk
Written languageEnglish
Semester/BlockBlock 2
Grading scalePassed / Not passed

Aim and content
The course gives an introduction to contemporary computational astrophysics, and covers both technical aspects, in particular efficient code development and parallelization, methods including fluid and particle dynamics, gravitational collapse, radiative energy transfer, and an overview of computational models for microphysical processes, such as cooling, heating, dust dynamics, and astrochemistry. The course exercises introduce and illustrate these concepts, and give a “hands-on” feeling for how and in what context they are used. During the course exercises the students will build a highly modular yet simple core program, which includes most of the methods covered in the lectures.


Learning outcome
Skills
•Modeling the dynamics of the interstellar medium
•Modeling gravitational collapse
•Solving the radiation transfer equation
•Using radiative transfer in connection with analysis and modeling of observations
•Modeling dust dynamics and gas-dust interaction
•Reporting on current theories and models of star and planet formation.

Knowledge
The student will come to know the fundamental equations that govern astrophysical gas dynamics, including radiative energy transfer and coupled gas-dust dynamics. In addition the student will achieve knowledge of the basic computational techniques used in modern astrophysics including the principles of adaptive mesh refinement techniques and particle methods.

Competences
The course gives basic competences in numerical modelling, and will establish a foundation for a M.Sc. project based on numerical modelling

Literature
See Absalon for final course material. The following is an example of expected course literature.
P. Bodenheimer, G. P. Laughlin, M. Rozyczka, T. Plewa, H. W. Yorke: “Numerical Methods in Astrophysics”. Complemented with lecture notes.

Target group
The student is expected to have followed courses on galaxies, stars and planets. It is recommended but not required that the student has followed an M.Sc. course on the interstellar medium and star formation.

Teaching and learning methods
Lectures, exercises and projects work

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