Gamma ray spectrum inversion based on master-secondary encoder-decoder network

Hu Rundu

doi:10.1016/j.cpc.2025.109688

Gamma ray spectrum inversion based on master-secondary encoder-decoder network

2025-05-30

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DOI：10.1016/j.cpc.2025.109688

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• Strong noise resistance and robustness. • The master-secondary network architecture is used, enabling the network to converge more quickly when processing complex data. • This method has been successfully applied to gamma-ray spectrum inversion at the EAST tokamak. • Applicable to a wider range of diagnostics fitting the similar mathematical form.

Gamma ray spectrum inversion based on master-secondary encoder-decoder network

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