GATE 10 Monte Carlo particle transport simulation: II. Architecture and innovations

Area of Science:

• Medical Physics
• Computational Science
• Particle Physics

Background:

• The Geant4-based Monte Carlo application GATE has been reimplemented as version 10.
• This new version features a Python-based user interface, replacing legacy static input files.
• Significant development challenges were encountered and addressed in this release.

Purpose of the Study:

• To detail the architectural innovations and solutions implemented in GATE version 10.
• To explain how the new design facilitates precise, time-aware particle generation for advanced medical imaging and therapy simulations.
• To share the development effort behind GATE 10 with the research community.

Main Methods:

• Development of a modular C++ and Python architecture to manage simulation components.
• Implementation of a user-friendly interface for complex Geant4 physics settings.
• Integration of advanced physics models, variance reduction techniques, and sophisticated scoring capabilities.

Main Results:

• A robust modular design managing particle sources, geometry, physics, and data acquisition.
• Precise, time-aware primary particle generation crucial for positron emission tomography (PET) and radionuclide therapies.
• A flexible architecture supporting multithreaded execution and integration with external tools like AI models.

Conclusions:

• GATE version 10 offers a more powerful and flexible platform for research and innovation in medical physics.
• The new architecture simplifies complex simulation workflows and enables direct coupling with external tools.
• This reimplementation addresses key challenges in particle and radiation transport simulation.