- Docente: Marco Sumini
- Credits: 6
- SSD: ING-IND/18
- Language: English
- Teaching Mode: Blended Learning
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Energy Engineering (cod. 0935)
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from Sep 19, 2023 to Dec 19, 2023
Learning outcomes
The module is devoted to the analysis of the radiation protection issues in various contexts: - Radiation interaction with matter; - Medical applications; - Environmental issues as the consequence of accidental conditions. Due attention is devoted to the Monte Carlo methods as the reference tools in the simulation of the radiation transport. Some reference Monte Carlo codes useful for practical applications are analysed and applied. As outcome, the student will be able to evaluate the radiological risk related to the various kind of sources and also make dose and shielding calculations using some open source MC codes.
Course contents
Fundamentals of probability and statistics
Radiation interaction with matter: units and useful parameters
Biological effectiveness
Monte Carlo methods for particle transport simulation:
- Neutrons, photons and charged particles
- Analog Monte Carlo
- Bias and importance
- Convergence issues
Tools for the environmental analysis of radioactive pollutants diffusion: analysis of some reference accidental events (TMI, Chernobyl, Fukushima, Goiania)
Application of reference Monte Carlo codes to the solution of some classical problems in radiotherapy or radiation protections or as a consequence of environmental releases.
Sessions devoted to increase the programming skills in FORTRAN, C and Python
Readings/Bibliography
- B. J. McParland, Nuclear Medicine Radiation Dosimetry, Springer, 2010
- W. L. Dunn, J. K. Shultis, Exploring Monte Carlo Methods, Elsevier, 2012
- M. H. Kalos, P. A. Whitlock, Monte Carlo Methods, 2nd Edition, Wiley, 2008
- R. G. McClarren, Computational Nuclear Engineering and Radiological Science using Python, Academic Press, 2018
- User's Manuals for codes and nuclear and radiation protection libraries
Teaching methods
- Didattica frontale
- Esercitazioni numeriche
The module is part of the University of Bologna innovative teaching project.
Assessment methods
Prepare a project on the subjects of the course using some reference computational tool.
Teaching tools
- Open source Monte Carlo codes
- Cross-sections Libraries
- Nuclear Data Libraries
Office hours
See the website of Marco Sumini
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.