Modelling and Simulation Methods of Particle Transport
Syllabus, Master's level, 1FA351
This course has been discontinued.
- Code
- 1FA351
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Physics A1N
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 12 March 2009
- Responsible department
- Department of Physics and Astronomy
Entry requirements
120 credits. Basic knowledge of ionising radiation corresponding to Quantum Physics, Nuclear and particle physics, Nuclear Science with modern applications.
Learning outcomes
When the course is completed the student should be able to
- master the modelling of test setups, experiments and systems
- have the knowledge to choose for the formulated problem the appropriate parameters and libraries
- evaluate the result from the simulation and to verify the simulation
- be prepared to apply the knowledge in research and industrial applications
Content
The course will treat a number of modelling methods for ionising and non-ionising radiation used in nuclear , particle and in space physics but also very useful for calculations in industry. The tools covered are already being used in nuclear and medical industry which will make a student are well prepared for work outside academia. The course will introduce the most common simulation and modelling tools in this field.
PENELOPE - Monte Carlo simulation package for photon and electron transport (www.nea.fr)
MNCP - Monte Carlo package for neutron and photon simulation (www.lanl.gov)
GEANT - Simulation package for particle transport trough matter (geant4.cern.ch)
FLUKA - Calculation of particle transport and interactions with matter (www.fluka.org)
The properties of the different packages will be reviewed. Elements contained by the project works are: Analysis and characterisation of problem, planning of modelling project, methods for modelling of complex geometries, selecting simulation parameters and library, optimising the simulation project, verification of the simulation result.
Instruction
Introductory lectures and supervised project work (PBL)
Assessment
Accomplished and passed project work.
Reading list
No reading list found.