Course Unit Page
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Teacher Marco Sumini
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Credits 6
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SSD ING-IND/18
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Teaching Mode Traditional lectures
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Language Italian
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Campus of Bologna
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Degree Programme Second cycle degree programme (LM) in Energy Engineering (cod. 0935)
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Course Timetable from Feb 24, 2022 to May 26, 2022
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.


Academic Year 2021/2022
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.
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
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
User's Manuals for codes and nuclear and radiation protection librariesTeaching methods
- Direct instruction
- Experiential Learning through numerical exercises
Assessment methods
Project set up to solve a paradigmatic radiation protection problem with a reference code.
Teaching tools
- Open source Monte Carlo codes
- Xsections Libraries
- Nuclear Data Libraries
Office hours
See the website of Marco Sumini