Computational Astrophysics

3 credits · Undergraduate credit

Computational Astrophysics develops a practical working knowledge of the most widely used numerical methods in astrophysics. The theory underlying the methods is one important aspect of the course, but theory is put into practice by development and use of numerical routines (some already written) in the computer environment. With an emphasis on astrophysical issues, we first cover some of the most common scientific numerical methods, such as interpolation, curve fitting, root finding, quadrature, numerical integration of differential equations, and matrix solutions to sets of linear equations. Fourier methods are widely used throughout astrophysics, and both the basic theory and the most useful applications are presented. The last major topic is the numerical statistical analysis, with particular emphasis on the peculiarities and pitfalls associated with real astronomical data.