A generalized parton shower for arbitrary gauge groups plus a Mamba network on Lund jet planes can distinguish dark gauge symmetries even when non-perturbative hadronization details are unknown.
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Neural-network regression reconstructs the semi-visible-jet invisible fraction r_inv more precisely than prior analytical methods in ISR-boosted photon-associated events.
citing papers explorer
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Disentangling Dark Gauge Symmetries with Deep Learning on the Lund Jet Plane
A generalized parton shower for arbitrary gauge groups plus a Mamba network on Lund jet planes can distinguish dark gauge symmetries even when non-perturbative hadronization details are unknown.
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Reconstructing the Invisible Fraction of Semi-visible Jets in ISR-Boosted Events via Neural Network Regression
Neural-network regression reconstructs the semi-visible-jet invisible fraction r_inv more precisely than prior analytical methods in ISR-boosted photon-associated events.