A CNN trained on simulated SAT-TPC track images separates direct and sequential Hoyle state decays from elastic scattering, with better accuracy at finer readout segmentation.
Hoyle,On Nuclear Reactions Occurring in Very Hot Stars
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Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network
A CNN trained on simulated SAT-TPC track images separates direct and sequential Hoyle state decays from elastic scattering, with better accuracy at finer readout segmentation.