Pyg4ometry:A Python library for the creation of Monte Carlo radiation transport physical geometries

Creating and maintaining computer-readable geometries for use in Monte Carlo Radiation Transport (MCRT) simulations is an error-prone and time-consuming task. Simulating a system often requires geometry from different sources and modelling environments, including a range of MCRT codes and computer-aided design (CAD) tools. Pyg4ometry is a Python library that enables users to rapidly create, manipulate, display, debug, read, and write Geometry Description Markup Language (GDML)-based geometry used in MCRT simulations. Pyg4ometry provides importation of CAD files to GDML tessellated solids, conversion of GDML geometry to FLUKA and conversely from FLUKA to GDML. The implementation of Pyg4ometry is explained in detail in this paper and includes a number of small examples to demonstrate some of its capabilities. The paper concludes with a complete example using most of Pyg4ometry's features and a discussion of possible extensions and future work

A self-consistent numerical evaluation of the concrete shielding activation for proton therapy systems

info:eu-repo/semantics/publishe

Recent developments in BDSIM for medical applications

info:eu-repo/semantics/publishe

BDSIM developments for hadron therapy centre applications

info:eu-repo/semantics/publishe

BDSIM: Automatic Geant4 Models of Accelerators

BDSIM is a program that uses a suite of high energy physics software including Geant4, CLHEP & ROOT, to seamlessly track particles through a 3- dimensional accelerator model utilising the full range of particles and physics processes from Geant4. BDSIM was originally developed to simulate linear colliders such as the International Linear Collider (ILC), but has more recently been extended for application to the Large Hadron Collider (LHC), and generally to storage rings. The significant modernisation and revision of the implementation undertaken from 2013 to facilitate these simulations is presented here along with an example of the capabilities

A novel approach to seamless simulations of compact hadron therapy systems for self-consistent evaluation of dosimetric and radiation protection quantities

Hadron therapy installations are evolving towards more compact systems that require higher-quality beams for advanced treatment modalities such as proton flash and arc therapy. Therefore the accurate modelling of present and next-generation systems poses new challenges where the simulations require both magnetic beam transport and particle-matter interactions. We present a novel approach to building simulations of beam delivery systems at a level suitable for clinical applications while seamlessly providing the computation of quantities relevant for beam dose deposition, radiation protection assessment, and shielding activation determination. A realistic model of the Ion Beam Applications (IBA) ProteusR One system is developed using Beam Delivery Simulation (BDSIM), based on Geant4, that uniquely allows simulation using a single model. Its validation against measured data is discussed in detail. The first results of self-consistent simulations for beam delivery and equivalent ambient dose are presented. The results show that our approach successfully models the complex interactions between the beam transport and its interactions with the system for relevant clinical scenarios at an acceptable computational cost.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Numerical simulations to optimize passive scattering eye treatment beamlines toward improved clinical performances

info:eu-repo/semantics/nonPublishe

Optimization of proton therapy eye-treatment systems toward improved clinical performances

info:eu-repo/semantics/publishe