Galaxy Evolution in Cosmic Structures A - Numerical Simulations of Galaxy Formation
PhD Course
Detailed Program
Aims:
- Introduce students to cosmological hydrodynamical simulations of galaxy formation.
- Equip students with the skills to independently explore existing numerical simulations and run new ones using state-of-the-art, publicly available numerical codes.
- Introduce advanced data analysis methods to enable efficient analysis of large datasets.
Summary of Contents:
The course is structured into five modules, each aimed at achieving the following outlined objectives:
- Introduction to Numerical Simulations: Overview of numerical simulations for astrophysical objects and hands-on analysis of state-of-the-art simulations using Python.
- Creating Initial Conditions and Running Simulations: Introduction to generating initial conditions and running cosmological simulations with state-of-the-art codes.
- Advanced Data Structures: Exploration of advanced data structures to optimise the analysis of large simulations and big data.
- Visualisation Techniques: Introduction to visualisation techniques for interpreting and presenting results from state-of-the-art simulations.
Exercises
