Monte Carlo simulation
PHITS simulations at ARRONAX and SIMIND SPECT acquisition simulations at IMENA.
LEARN · APPLY · DEVELOP
Knowledge & skills
Academic knowledge and tools used during two scientific internships.
Image reconstruction and analysis
Reconstruction with PyTomography; volumes, ROI and VOI analysis using AMIDE and Fiji, and DICOM data processing with InterView XP.
Scientific programming
Use of Python scripts for data processing, plotting and image contrast, noise and counting-statistics analysis during the IMENA internship.
Measurements and quality control
Jaszczak and hot-sphere phantom acquisitions, simulation-to-experiment comparisons and participation in gamma-camera quality control at IMENA.
Nuclear and radiation physics
Academic knowledge of radiation-matter and photon-matter interactions, attenuation, Compton scattering, detection, dosimetry and radiation protection.
Numerical methods and programming
Academic practice in scientific computing, numerical methods, C/C++ and MATLAB/Octave; courses in image processing and reconstruction.
Particle transport simulation
Academic practice with MCNP, Geant4 and GATE; interpretation of particle transport simulation results.
Instrumentation for fission and fusion
Current IMSci-Nu curriculum: metrology, detectors, diagnostics, major nuclear facilities, modelling and experimental work.
A scientific question to explore?
Internship, scientific role or PhD: let’s discuss a project and what it needs.