The Cloud-Based Implementation and Standardization of Anthropomorphic Phantoms and Their Applications

Radiation protection applications often require the creation of a large number of precise simulations of radiation-human body interactions. Our research is focused on creating RadPhantom, a new Geant4 application that constructs voxelized anthropomorphic phantom models. This allows for the standardized and reproducible generation of Geant4 simulations in cloud-based environments. We have incorporated existing and publicly accessible models into Meiga, a framework designed for the integration of Geant4-based applications. To standardize these simulations, guarantee their reproducibility, and adhere to the FAIR principles, we have developed an extended vocabulary schema using metadata and ontologies that align with current standards. By employing virtualization containers, we capitalize on the scalability and adaptability of public and federated clouds. In this paper, we detail our implementation, present some benchmarking results and comparisons with current methodologies, and discuss the potential applications for evaluating doses on commercial flights or assessing radiation shielding in neutron production facilities.