DATA ANALYSIS TECHNIQUES FOR NUCLEAR AND PARTICLE PHYSICS

Academic Year 2020/2021 - 1° Year - Curriculum NUCLEAR AND PARTICLE PHYSICS and Curriculum NUCLEAR PHENOMENA AND THEIR APPLICATIONS
Teaching Staff: Giuseppe POLITI and Luciano PANDOLA
Credit Value: 6
Scientific field: FIS/01 - Experimental physics
Taught classes: 28 hours
Exercise: 30 hours
Term / Semester:

Learning Objectives

The course aims to introduce the student to the analysis techniques in Nuclear and High Enrgy Physics and to provide the fundamental of object-oriented programming.

Students will acquire experiences with the main software tools used in the analysis of real physics case, with particular emphasyis devoted to the statistical approach. Moreover he will gain in critical skills facing the programming and analysis issue during practical session in laboratory.

Communication of the acquired skill will be developed thanks to the direct programming during the practical exam and to the expositions of theoretical items discussed during lessons.

Autonomous prosecution of studying will be stimulated by the needing of developping analysis codes for the following work of data analysis to be done for master thesis work


Course Structure

Classes on theoretical parts

Practical sessions in computer science laboratory to practice in program writing

Should the circumstances require online teaching, appropriate modifications to what is hereby stated may be introduced, in order to achieve the main objectives of the course.

Exams may take place online, depending on circumstances.


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

Teacher's notes