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Neural Networks for Reconstruction and Uncertainty Quantification of Fast-Ion Phase-Space Distributions Using FILD and INPA Measurements

NUCLEAR FUSION(2025)

Cited 0|Views3
Key words
neural networks,fast-ion diagnostics,uncertainty quantification,tomographic reconstruction,high-energy feature,pitch-angle splitting,Monte Carlo dropout
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