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Computational Astrophysics

Computational Astrophysics

Course Outline: 

Course Outline:

The use of computers has contributed profoundly to our current understanding of the Universe in many ways. Today, data acquisition (observation), data analysis and theoretical modelling are heavily computerised research fields. The goal of this course is to provide an overview of computational techniques in modern astrophysics. In particular, numerical simulations and analysis techniques as well as basic image manipulation algorithms are discussed and corresponding programming examples are worked through. The programming language is Python.

 

Syllabus:

  • Module 1: Monte-Carlo simulations – Radiative Transfer Problem

  • Module 2: N-body simulations – Large Scale Structure of the Universe

  • Module 3: Hydrodynamical Simulations – Stellar Atmospheres

  • Module 4: Image processing – Foreground Star Subtraction / Galaxy Classification

 

References:

 



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Programmes | by Dr. Radut