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Título : The Cloud-Based Implementation and Standardization of Anthropomorphic Phantoms and Their Applications
Autor : Núñez-Chongo, O.
Carretero, M.
Mayo-García, R.
Asorey, A.
Palabras clave : radiation
phantom
cloud
FAIR
Fecha de publicación : 2023
Editorial : IEEE Comp. Soc.
Citación : O. Núñez-Chongo, M. Carretero, R. Mayo-García, H. Asorey. The Cloud-Based Implementation and Standardization of Anthropomorphic Phantoms and Their Applications. 2023 Winter Simulation Conference (WSC), San Antonio, TX, USA, 2932-2943 (2023)
Resumen : Many radiation protection applications require the production of a large number of accurate simulations of radiation-human body interaction. This research focuses on the development of a new Geant4 application that generates voxelized anthropomorphic phantom models, enabling the reproducible and standardized production of numerous Geant4 simulations in cloud-based environments. This development integrates existing and publicly available models within Meiga, a framework for integrating Geant4-based applications. To standardize the simulations, ensure their reproducibility and uphold the FAIR paradigm, we generated an extended vocabulary schema using metadata and ontologies based on current standards. By utilizing virtualization containers, we leverage the scalability and flexibility of public and federated clouds, such as the European Open Science Cloud (EOSC). In this work we describe our implementation, provide some example results and outline the application’s use for evaluating effective doses expected onboard commercial flights or assessing the effectiveness of radiation shielding materials in rapid neutron production facilities.
URI : http://documenta.ciemat.es/handle/123456789/3782
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