Workshops
Tools for Physicists: Statistics (2/3)
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Europe/Berlin
Hörsaal (Kernphysik)
Hörsaal
Kernphysik
Description
This lecture intended as a guide to practical application of statistics with a focus on relevant topics in analysis of high energy physics data. Each session consists of a classical lecture part followed by a hands-on training using python. Experience in programming is advantageous but not mandatorily required.
Lecture 1: Statistical Distributions
Lecture 2: Confidence intervals, Hypothesis testing
Lecture 3: Parameter estimation
- Unterrichtssprache / Language: Englisch / English
- Foliensprache / Language Slides: Englisch / English
- Registration mandatory, see below.
Tools for Physicists / Werkzeuge für Physiker 2019
This lecture is part of a larger series covering various real-lab topics:
- (DE/DE) Technisches Zeichnen by Erhard Jung
- (EN/EN) Introduction to Comsol by COMSOL
- (EN/EN) Boost you Analysis with High Performance Computing by Peter-Bernd Otte
- (EN/EN) 3D Printing and Designing by David Rodriguez Piñeiro
- (EN/EN) Introduction to GIT and CI with Gitlab by Peter Weidenkaff
- (EN/EN) Statistics by Wolfgang Gradl and Peter Weidenkaff
- (EN/EN) Mathematica by Michael Distler
- (DE/EN) Mikrocontroller by Igor Beltschikow
- (EN/EN) Simulating Electronics with Spice by Werner Lauth
- (EN/EN) EMC, Grounding, Noise, Impedance by Werner Lauth
- (DE/EN) Einführung in Eagle (Schaltungslayout) by Oliver Corell
Hint: (Teaching language / slides language)