B013479 - DATA ANALYSIS IN SUBNUCLEAR PHYSICS (INTRODUCTION)

Italian

Statistics, Monte Carlo simulations, event reconstruction and data analysis tools in elementary particle physics.

G.Cowan, Statistical Data Analysis
Notes and didactic material are available at the website:
http://hep.fi.infn.it/ciulli/Site/Analisi_Dati.html

Principles of frequentist and Bayesian statistics, and applications to high energy physics. Introduction to the C++ programming language and to the ROOT framework.

Courses recommended: Nuclear and subnuclear physics

CFU: 3
Contact hours for Lectures: 18
Contact hours for Laboratory-field/practice: 9

Solving of an analysis problem and oral discussion of proofs.

General concepts of statistics. Monte Carlo algorithms and simulations. Statistical tests and fit techniques. Unfolding. Confidence intervals and limits.
Event reconstruction and data analysis.