Vanquishing the computational cost of passive gamma emission tomography simulations leveraging physics-aware reduced order modeling
Nicola Cavallini,
Riccardo Ferretti,
Gunnar Bostrom
et al.
Abstract:Passive Gamma Emission Tomography (PGET) has been developed by the International Atomic Energy Agency to directly image the spatial distribution of individual fuel pins in a spent nuclear fuel assembly and determine potential diversion. The analysis and interpretation of PGET measurements rely on the availability of comprehensive datasets. Experimental data are expensive and limited, so Monte Carlo simulations are used to augment them. However, Monte Carlo simulations have a high computational cost to simulate… Show more
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