Semi-supervised DL anomaly detector (VAE + classifier) for model-independent searches in DARWIN, outperforming classical likelihood tests on simulated WIMP injections while learning directly from raw high-dimensional outputs.
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Combined LHC data shows no deviation from the standard model in single-photon plus missing momentum events, establishing the strongest limits to date on simplified dark matter models and large extra dimensions.
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Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline
Semi-supervised DL anomaly detector (VAE + classifier) for model-independent searches in DARWIN, outperforming classical likelihood tests on simulated WIMP injections while learning directly from raw high-dimensional outputs.
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Search for new physics in the final state with a single photon and large missing transverse momentum in proton-proton collisions at $\sqrt{s}$ = 13 TeV
Combined LHC data shows no deviation from the standard model in single-photon plus missing momentum events, establishing the strongest limits to date on simplified dark matter models and large extra dimensions.