B2G4: A synthetic data pipeline for the integration of Blender models in Geant4 simulation toolkit
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866929493583593472 |
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| author | Rodriguez, Angel Bueno Sattler, Felix Prada, Maximilian Perez Stephan, Maurice Barnes, Sarah |
| author_facet | Rodriguez, Angel Bueno Sattler, Felix Prada, Maximilian Perez Stephan, Maurice Barnes, Sarah |
| contents | The correctness and precision of particle physics simulation software, such as Geant4, is expected to yield results that closely align with real-world observations or well-established theoretical predictions. Notably, the accuracy of these simulated outcomes is contingent upon the software's capacity to encapsulate detailed attributes, including its prowess in generating or incorporating complex geometrical constructs. While the imperatives of precision and accuracy are essential in these simulations, the need to manually code highly detailed geometries emerges as a salient bottleneck in developing software-driven physics simulations. This research proposes Blender-to-Geant4 (B2G4), a modular data workflow that utilizes Blender to create 3D scenes, which can be exported as geometry input for Geant4. B2G4 offers a range of tools to streamline the creation of simulation scenes with multiple complex geometries and realistic material properties. Here, we demonstrate the use of B2G4 in a muon scattering tomography application to image the interior of a sealed steel structure. The modularity of B2G4 paves the way for the designed scenes and tools to be embedded not only in Geant4, but in other scientific applications or simulation software. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_06327 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | B2G4: A synthetic data pipeline for the integration of Blender models in Geant4 simulation toolkit Rodriguez, Angel Bueno Sattler, Felix Prada, Maximilian Perez Stephan, Maurice Barnes, Sarah Computational Physics Data Analysis, Statistics and Probability Instrumentation and Detectors The correctness and precision of particle physics simulation software, such as Geant4, is expected to yield results that closely align with real-world observations or well-established theoretical predictions. Notably, the accuracy of these simulated outcomes is contingent upon the software's capacity to encapsulate detailed attributes, including its prowess in generating or incorporating complex geometrical constructs. While the imperatives of precision and accuracy are essential in these simulations, the need to manually code highly detailed geometries emerges as a salient bottleneck in developing software-driven physics simulations. This research proposes Blender-to-Geant4 (B2G4), a modular data workflow that utilizes Blender to create 3D scenes, which can be exported as geometry input for Geant4. B2G4 offers a range of tools to streamline the creation of simulation scenes with multiple complex geometries and realistic material properties. Here, we demonstrate the use of B2G4 in a muon scattering tomography application to image the interior of a sealed steel structure. The modularity of B2G4 paves the way for the designed scenes and tools to be embedded not only in Geant4, but in other scientific applications or simulation software. |
| title | B2G4: A synthetic data pipeline for the integration of Blender models in Geant4 simulation toolkit |
| topic | Computational Physics Data Analysis, Statistics and Probability Instrumentation and Detectors |
| url | https://arxiv.org/abs/2311.06327 |