TomOpt: Muon Tomography experiment optimization
DOI:
https://doi.org/10.31526/jais.2024.492Keywords:
machine learning, artificial intelligence, computer scienceAbstract
The Tomopt software is a tool to optimize the geometrical layout and specifications of detectors designed for muon scattering tomography. Based on differentiable programming techniques, Tomopt consists in a modular pipeline that models all the aspects of a muon tomography task, from the generation and interaction of cosmic ray muons with a parameterized detector and passive material, to the inference on the volume properties. This enables the optimization of the detector parameters via gradient descent, to suggest optimal detector configurations and specifications. This optimisation is subjected to various external constraints such as cost, logistic and material identification efficiency.
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