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.
Rana et al.,New high precision study on the decay width of the Hoyle state in12饾惗,Physics Letter B, vol.793, (2019), 130 - 133
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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.