Neural networks trained only on simulated gamma-ray spectra can classify isotopes and shielding in real detector data, but a nonlinear model is needed for a confuser task that a linear classifier fails.
A framework for the solution of inverse radiation transport problems,
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Threat determination for radiation detection from the Remote Sensing Laboratory
Neural networks trained only on simulated gamma-ray spectra can classify isotopes and shielding in real detector data, but a nonlinear model is needed for a confuser task that a linear classifier fails.