Learning outcomes

As part of the Competency-Based Approach, students will be trained in the following critical learnings.
 
Learning to simulate with computer tools:
  • Commenting on code
  • Test programming
  • Designing algorithms
Modeling a physical phenomenon:
  • Define a modeling approach.
  • Integrate model uncertainties and risks.
  • Perceive the validity of a model and improve it if necessary.
Build your profession as a physicist: 
  • Make the most of your physics studies.
  • Use self-training tools
More specifically:
  • Notions in C++
  • Modelling of biological targets or detectors

Goals

Notions of pointers and classes in C++

Assembling a Geant4 application on the basis of Geant4 classes

Content

This course aims to acquire basic notions to carry out Monte Carlo simulations using the GEANT4 toolkit. 
GEANT4 allows the simulation of complex geometry and models the interactions of particles (charged or uncharged) with matter.
The toolkit can be used for microscopic dosimetry calculations or to model the beam of a cyclotron. 
This approach makes it possible to monitor the particles through the analysis of the processes incurred (ionization, diffusion, etc.), to evaluate the energy or position spectra. 
This supposes a prior knowledge of a programming language (Fortran or Matlab). The first lessons of the course will address the C ++ specifications.

Assessment method

Programming exercise

Language of instruction

Anglais