A multimodal, uncertainty-quantified set of leading-power fragmentation functions for all-charm pentaquarks is constructed and applied to NLL/NLO+ pentaquark-plus-jet production at future hadron colliders.
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Deep learning on all particles via holistic analysis and Advanced Color Singlet Identification improves Higgs signal extraction up to sixfold in high-energy collisions.
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Multimodal Fragmentation of All-Heavy Pentaquarks: Uncertainty-Aware Predictions for Hadron Colliders
A multimodal, uncertainty-quantified set of leading-power fragmentation functions for all-charm pentaquarks is constructed and applied to NLL/NLO+ pentaquark-plus-jet production at future hadron colliders.
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Learning from all particles in high-energy collisions
Deep learning on all particles via holistic analysis and Advanced Color Singlet Identification improves Higgs signal extraction up to sixfold in high-energy collisions.