ADVANCED METHODS OF DATA ANALYSIS IN PHYSICS AND ASTROPHYSICS OF PARTICLES

Luigi Antonio FUSCO ADVANCED METHODS OF DATA ANALYSIS IN PHYSICS AND ASTROPHYSICS OF PARTICLES

8860200013
DEPARTMENT OF PHYSICS "E. R. CAIANIELLO"
Corso di Dottorato (D.M.226/2021)
PHYSICS AND EMERGENT TECHNOLOGIES
2024/2025

YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2024
SPRING SEMESTER
CFUHOURSACTIVITY
210LESSONS
Objectives
THE COURSE DESCRIBES ADVANCED DATA ANALYSIS METHODOLOGIES IN PHYSICS, WITH THE GOAL OF PROVIDING THE STUDENTS A PRECISE KNOWLEDGE OF THE DATA ANALYSIS TOOLS IN MEASUREMENTS WITH RARE EVENTS, CLOSE TO PHYSICAL LIMITS, AND WHERE SYSTEMATIC UNCERTAINTIES ARE RELEVANT
Prerequisites
GOOD UNDERSTANDING OF MATHEMATICS AND STATISTICS AND THEIR APPLICATION TO DATA ANALYSIS IN PHYSICS
Contents
MAIN CONCEPTS IN STATISTICAL DATA ANALYSIS, PROBABILITY DENSITY FUNCTIONS, PARAMETER ESTIMATION, TREATMENT OF SYSTEMATICAL UNCERTAINTIES IN MAXIMUM LIKELIHOOD APPROACHES

CONFIDENCE INTERVALS, FREQUENTIST APPROACH, BAYESIAN APPROACH, FELDMAN AND COUSINS UNIFIED APPROACH

UNFOLDING METHODS, SINGULAR VALUE DECOMPOSITION, ITERATIVE/BAYESIAN METHODS
Teaching Methods
LECTURES ON THE THEORETICAL PART, WITH PRACTICAL DATA ANALYSIS EXAMPLES CARRIED OUT BY THE TEACHER, ALSO ON THE COMPUTER WITH SPECIFIC EXAMPLE PROGRAMS FOR DATA ANALYSES
Verification of learning
ORAL EXAMINATION WITH A COMPLETE DISCUSSION OF ONE OF THE TOPICS PRESENTED DURING THE COURSE.

Texts
G. COWAN, STATISTICAL DATA ANALYSIS

G. D'AGOSTINI, BAYESIAN REASONING IN DATA ANALYSIS

L. LISTA, STATISTICAL METHODS FOR DATA ANALYSIS

LECTURE NOTES
More Information
EMAIL CONTACT LFUSCO@UNISA.IT AND ACALIVA@UNISA.IT
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