A timing-based data-driven method to measure single-particle corner-clipping probabilities in segmented detectors, validated on Pierre Auger Underground Muon Detector simulations and parameterized by an analytical model.
Abdul Halim et al
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Galactic magnetic field time delays for transient UHECR sources induce a spectral cutoff, composition shift to heavier nuclei, and developing dipole anisotropy over ~100 kyr timescales.
Transformers trained on cosmic ray simulations learn physically plausible features in positional encodings for symmetric air showers and in attention mechanisms for galaxy-origin particles.
citing papers explorer
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A data-driven method for measuring corner-clipping probabilities in segmented particle detectors
A timing-based data-driven method to measure single-particle corner-clipping probabilities in segmented detectors, validated on Pierre Auger Underground Muon Detector simulations and parameterized by an analytical model.
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What exactly did the Transformer learn from our physics data?
Transformers trained on cosmic ray simulations learn physically plausible features in positional encodings for symmetric air showers and in attention mechanisms for galaxy-origin particles.