Machine learning models trained on simulated gamma peak ratios achieve over 95% accuracy classifying yields near a 1 kg TNT threshold and 12.4% mean absolute relative error in yield regression for measurements taken months after the test.
Congress, Senate, Subcommittee on International Security, Proliferation, and Federal Services of the Committee on Governmental Affairs.Safety and Reliability of the U.S
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Machine learning inference of fission yields from gamma spectroscopy for very low-yield nuclear test verification
Machine learning models trained on simulated gamma peak ratios achieve over 95% accuracy classifying yields near a 1 kg TNT threshold and 12.4% mean absolute relative error in yield regression for measurements taken months after the test.