From the Geant4 web page: Geant4 is a toolkit for the simulation of the passage of particles through matter. Its areas of application include high energy, nuclear and accelerator physics, as well as studies in medical and space science.

In this online webinar, you will learn how to utilize the Geant4 toolkit in applications involving gamma radiation such as gamma radiation detector response calculations, radiation protection and safety & security applications.

The learning outcomes of the webinar are listed below.

  • Basics of Monte Carlo simulations for radiation transport.
  • Structure of a Monte Carlo program based on the Geant4 framework.
  • Defining the universe of the model, materials and geometry.
  • Visualise the geometrical model.
  • How to create gamma radiation and how to detect / measure it.
  • Visualise the transport of radiation through the model.
  • How to save results from the calculations.

The webinar will be held in English.


To schedule a webinar, please contact us.

After the end of the session, the meeting will stay open to address any open questions or comments. The allocated time include a 15 minute break.

Registration information

Price: 30 US $

Remote connection information to the online webinar will be distributed to registered participants. The webinar will be postponed to the next scheduled occasion if less than 5 participants are registered on the respective registration deadline. Currently, no sessions are planned.

Having trouble registering? Please contact the host in case of problems or questions.

About the host

This webinar will be hosted by Dr. Peter Jansson. Peter have a background in research into non-destructive techniques for passive assay of gamma radiation emitting objects and about 20 years’ experience of using various radiation transport modeling tools such as Geant4 and MCNP. He holds a PhD in Nuclear Physics from Uppsala University in Sweden from 2002. He is managing the consulting company Jansson Consulting that hosts this webinar.

© Jansson Consulting 2021.