DATA ANALYSIS TECHNIQUES FOR NUCLEAR AND PARTICLE PHYSICS
Academic Year 2017/2018 - 1° Year - Curriculum NUCLEAR AND PARTICLE PHYSICS
Teaching Staff: Alessia Rita TRICOMI and Giuseppe POLITI
Credit Value: 6
Scientific field: FIS/01 - Experimental physics
Taught classes: 28 hours
Laboratories: 30 hours
Term / Semester: 2°
Credit Value: 6
Scientific field: FIS/01 - Experimental physics
Taught classes: 28 hours
Laboratories: 30 hours
Term / Semester: 2°
Learning Objectives
The course aims to introduce the student to the analysis techniques in Nuclear and High Enrgy Physics. Students will acquire experiences with object-oriented programming as well as the main software tools used in the analysis of real physics case. Particular emphasyis will be devoted to the statistical approach.
Detailed Course Content
Introduction to data analysis technique in High Energy Physics
Probability density function and Monte Carlo method.
Object-Oriented Programming
Multivariate analysis
ROOT and MTVA package
Introduction to GEANT4
Development and analysis of real data chosen between Nucleare and High Energy Physics applications
Textbook Information
Data Analysis - G. Cowan