CVAE anomaly detection on sapphire detector pulses reveals rise-time deviations in LEE events, enabling 53% rejection and ~10% sensitivity improvement for MINER.
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Vision transformer models segment proto-halo regions in initial cosmological density fields by final mass at z=0, outperforming both CNNs and the PINOCCHIO perturbation-theory code.
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Exploring Low Energy Excess in MINER with sapphire detectors using Convolutional Variational Autoencoder (CVAE)
CVAE anomaly detection on sapphire detector pulses reveals rise-time deviations in LEE events, enabling 53% rejection and ~10% sensitivity improvement for MINER.
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Segmenting proto-halos with vision transformers
Vision transformer models segment proto-halo regions in initial cosmological density fields by final mass at z=0, outperforming both CNNs and the PINOCCHIO perturbation-theory code.