87944 - Statistical Data Analysis for Nuclear and Subnuclear Physics

Academic Year 2026/2027

  • Credits: 6
  • SSD: PHYS-01/A
  • Language: English
  • Moduli: Luca Clissa (Modulo 1) Federica Fabbri (Modulo 2) Gabriele Sirri (Modulo 3)
  • Teaching Mode: In-person learning (entirely or partially) In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2); In-person learning (entirely or partially) (Modulo 3)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Physics of the Earth System (cod. 6696)

Learning outcomes

At the end of the course the student will be acquainted with the main statistical concepts used in physics. After a review of the fundamentals of probability theory, parametric inferential statistics will be introduced, from point estimates and confidence intervals to hypothesis testing and goodness-of-fit. Each item will be addressed both in the Bayesian and frequentist approaches. Dedicated practical sessions will allow the student to become familiar with these conceptual tools by studying applications in nuclear and subnuclear physics.

Syllabus

The syllabus has not been published yet.