ASP2064 Computation and data analysis in astrophysics

When you finish this unit, you should be able to:

1. 1

   Develop and implement structured, efficient, and well-documented code to address problems in astrophysics, using appropriate programming strategies, numerical libraries, and workflow design;

2. 2

   Employ key numerical algorithms, probability concepts, and statistical models to extract physical insights from data, estimate parameters, and evaluate uncertainties;

3. 3

   Critically evaluate observational data for noise, bias, artefacts, and systematic effects, and apply standard techniques for data cleaning, calibration, and validation;

4. 4

   Identify sources of error in astrophysical measurements, apply methods for propagating uncertainties through analytical and computational models, and interpret their impact on scientific conclusions;

5. 5

   Construct and apply computational forward models of astrophysical systems to predict observable quantities and compare theoretical expectations with real data;

6. 6

   Present complex astrophysical and data-driven concepts clearly and accurately for audiences with varying levels of scientific background.