Radioprotection (Graduate Course) 2021/2022

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 libraries

Teaching 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

34628 - Radioprotection (Graduate Course)

Course Unit Page

SDGs