Neural-network regression reconstructs the semi-visible-jet invisible fraction r_inv more precisely than prior analytical methods in ISR-boosted photon-associated events.
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Recast LHC searches yield a ~1.2 TeV lower bound on long-lived charged dark mesons and show that anomaly-driven diboson resonances can reconstruct UV parameters like dark flavor and color numbers from IR measurements.
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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.
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Stopping Dark Mesons in Their Tracks with Long-Lived Particle and Resonant Signatures
Recast LHC searches yield a ~1.2 TeV lower bound on long-lived charged dark mesons and show that anomaly-driven diboson resonances can reconstruct UV parameters like dark flavor and color numbers from IR measurements.