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GPU-accelerated Bayesian inference for block-cave geometry recovery via muon tomography
We describe a Bayesian framework for the inverse problem of geometry recovery of block caving via muon tomography. We work with a low dimensional surface-based representation of the geometry of the block cave, which dramatically reduces the computational requirements of the model while allowing real
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