Angewandte Multi-Messenger-Astronomie 2

What it is about

The module introduces multi-messenger astronomy with a focus on high-energy processes (neutrinos, gamma- and cosmic-ray radiation in the MeV–EeV range). You will learn to analyze large data sets with statistical and computational methods and to combine observations from different instruments. In the end you will be able to understand important results in the field and practically apply fundamental methods of statistics, data analysis, and software development.

What you will be able to do

• Understand the fundamentals of multi-messenger astronomy
• Place the contents of scientific publications in the field in context
• Understand and practically apply likelihood and chi² fits
• Understand and apply minimization algorithms (e.g., Minuit)
• Understand and practically use Markov-Chain-Monte-Carlo sampling
• Understand and apply fundamentals of machine learning
• Understand and apply Bayesian statistics
• Independently evaluate scientific data

What the module consists of

• Vorlesung/ÜbungProvision of fundamentals in statistics, data analysis and methods of multi-messenger astronomy; practical application of these methods

Teaching method

• VorlesungIntroduction to theory and methods
• praktische Übungen / projektartige AufgabenApplication of statistical and computational analysis methods to examples and real datasets
• StudierendenpräsentationDeepening and verification of the developed competencies through autonomous evaluation and presentation