{"id":1460,"date":"2025-08-12T16:59:07","date_gmt":"2025-08-12T16:59:07","guid":{"rendered":"https:\/\/projects.ift.uam-csic.es\/master\/?p=1460"},"modified":"2025-09-03T14:14:04","modified_gmt":"2025-09-03T14:14:04","slug":"galaxy-formation-and-evolution-feg","status":"publish","type":"post","link":"https:\/\/projects.ift.uam-csic.es\/master\/galaxy-formation-and-evolution-feg\/","title":{"rendered":"Galaxy Formation and Evolution (FEG)"},"content":{"rendered":"\n

Academic Team<\/h2>\n\n\n\n
\"\"<\/a><\/figure>\n\n\n\n
\"\"<\/a><\/figure>\n\n\n\n

Course Content<\/h2>\n\n\n\n

Type: Optional Course \u00b7 AC Track \u00b7 3rd Trimester<\/strong><\/p>\n\n\n\n

This course provides the theoretical and practical foundations to model astrophysical phenomena using numerical simulations. Students will be introduced to the principles of computational astrophysics and high-performance computing, gaining proficiency in scientific programming and the use of advanced numerical techniques.<\/p>\n\n\n\n

The programme covers numerical integration methods, the solution of ordinary and partial differential equations, and their application to key physical processes: gravitational dynamics, N-body systems, (magneto-)hydrodynamics, and gas dynamics. Both Eulerian and Lagrangian approaches are presented in detail, including state-of-the-art algorithms such as Particle-Mesh (PM), Adaptive Mesh Refinement (AMR), Smoothed Particle Hydrodynamics (SPH), tree codes, and hybrid schemes (treePM, P\u00b3M).<\/p>\n\n\n\n

Hands-on exercises form an integral part of the course. Students will work on small programming assignments\u2014ranging from visualising the Mandelbrot set to implementing integration schemes for gravitational two-body systems, and developing a 1D SPH code for gas dynamics. A final project allows participants to either build a tailored simulation tool or employ a professional astrophysical code to investigate systems such as planetary configurations, stellar clusters, or galaxy formation.<\/p>\n\n\n\n

By the end of the course, students will not only master the computational methods at the core of modern astrophysics but also acquire the skills needed to run and analyse large-scale simulations on high-performance computing systems, preparing them for research in both theoretical and observational contexts.<\/p>\n\n\n\n

Reading List<\/h2>\n\n\n\n