402-0355-03L  Advanced Computational Methods in Astrophysics

SemesterSpring Semester 2022
LecturersJ. Szulágyi
Periodicitynon-recurring course
Language of instructionEnglish


402-0355-03 GAdvanced Computational Methods in Astrophysics
Online block course on Zoom: This lecture will take place online. Reserved rooms will remain reserved on campus for students to follow the course from there.
Time: 15:00-16:30 and 16:45 – 18:15
28s hrs
02.05. - 10.05.14:45-18:30HIT F 11.1 »
06.05.14:45-18:30HIT J 51 »
J. Szulágyi

Catalogue data

AbstractIn this course various (astro)physical problems will be solved with diverse computational methods: Fourier-transformation, population synthesis & Markov chain Monte Carlo, N-body simulations, Hydrodynamical/Computational fluid dynamics simulations, High Performance Computing, radiative transfer, advanced visualization techniques.
ObjectiveWe review the various computational methods used in (astro)physics, with a problem-oriented approach: we take an astrophysical problem and discuss how to solve that type of problem numerically. We will do data analysis, computer simulations, and visualization approaches that are not only used in astrophysics, but other physical fields, mathematical fields and engineering.
Content- advanced linux terminal commands & scripts, e.g. how to use awk as a computing tool, how to manipulate big data with shell scripts
- astronomical databases and archives to retrieve data for computations & statistics
- Gnuplot as a visualization and computing tool
- time series analysis (Discrete Fourier Transformation, power spectrum, box-fitting least square)
- population synthesis & Markov chain Monte Carlo
- N-body simulations
- hydrodynamical/computational fluid dynamics simulations (various methods, mesh refinement)
- 3D visualization and rendering with Paraview, streamline integration, animations
- basics of High Performance Computing
- Radiative Transfer with flux limited diffusion approx, role of opacity, opacity considerations and computations; Radiative transfer with ray-tracing approach (using RADMC-3D)
Prerequisites / Noticebasic linux terminal commands, basic programming knowledge in any language.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersJ. Szulágyi
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationProject to hand in by each student separately.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


Places20 at the most
Waiting listuntil 02.05.2022

Offered in

Doctorate PhysicsSubject SpecialisationWInformation
Physics MasterSelection: AstrophysicsWInformation
Computational Science and Engineering MasterElectivesWInformation