Konzepte moderner Statistik und Data Analytics in der Teilchenphysik

What it is about

You learn fundamental statistical concepts and their application in data analysis in particle physics. Building on principles of probability and entropy maximization, methods such as parameter estimation, correction procedures (e.g. unfolding), and determining limits for parameters that are not directly measurable are taught and applied to examples.

What you will be able to do

• Classify and critically evaluate statistical methods in particle physics
• Parameter determination from measurement data with models
• Apply correction procedures for experimental effects (e.g. unfolding)
• Determine limits for parameters that are not directly measurable
• Acquire practical competencies for data analysis, predominantly with Python

What the module consists of

• VorlesungTransmission of fundamentals and methods; active and critical participation is welcome
• ÜbungenPaper-and-pencil tasks for deepening and practical, computer-based tasks (primarily Python)

Teaching method

• Vorträgefor the introduction of concepts and discussion; active student participation is encouraged
• Übungsaufgaben (schriftlich und computerbasiert)for acquiring and deepening concepts as well as for practical application