Simulation of a Compton Camera Gamma Radiation Imager
Company: | Defence Science & Technology Group |
Duration: | 3-months |
Start Date: | November 2024 |
Location: | Remote |
Scholarship: | $20,000 |
About the Company
Defence Science and Technology Group (DSTG) is the Australian Government’s lead agency dedicated to providing science and technology support for the country’s defence and security needs.
Project Objective
Model the spectral and imaging response of a Compton camera radiation imaging device to gamma radiation sources using the radiation simulation toolkit, Geant4.
The prevention of and protection from CBRN incidents is a priority area for the Department of Defence and national security agencies. The 2024 Integrated Investment Program has identified this area as an investment area.
Radiation imaging devices greatly enhance the ability to search for discrete radiation sources and map radiation contamination areas. This project will enhance the capability of Army units and national security agencies to prevent and respond to radiological and nuclear incidents.
Project Tasks
- Develop a Geant4 simulation
- modelling a simplified detector geometry that is representative of the physical Compton camera device
- incorporating primary particle generators that simulate emissions from various industrial and medical gamma radiation sources
- Run the simulation to collect hit data from the Compton camera device
- Develop a processing tool chain to generate output from the device, including gamma spectra and electronic segmentation.
- Use these results to iteratively tune the geometry model in comparison to experimental data supplied.
- Write a report detailing the models and tools developed and outcomes of the validation.
- Optional extension: When the spectral response is validated, implement image reconstruction methods to generate gamma images from the post processed simulation data.
Intern Skills
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Training or experience in working within the radiation physics field.
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Experience in developing code with C++, as well as the ROOT and Geant4 toolkits.
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Additional experience with Python is desirable but not necessary.
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Highly motivated, comfortable working remotely within a team
Application
Students should fill out an online application form and submit their supporting documents (listed below) to info@defenceinnovationnetwork.com by 13 September 2024.
- Curriculum Vitae
- Motivation Letter
- Supervisor Support Letter
- Proof of Australian citizenship or permanent residence
(e.g. passport, birth certificate, citizenship or PR certificate)