A two-stage score-driven diffusion model with Point-Edge Transformer generates realistic high-multiplicity heavy-ion events as point clouds.
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The EIC can probe invisible pseudoscalar meson decays down to branching ratios of 10^{-8} and invisibly decaying ALPs with couplings up to 10^5 GeV for masses 0.1-2 GeV.
A pretrained GNN on 120M simulated LHC events improves downstream event-classification accuracy when training data are scarce, with benefits shrinking as data grow.
citing papers explorer
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Diffusion-Based Point-Cloud Generation of Heavy-Ion Events
A two-stage score-driven diffusion model with Point-Edge Transformer generates realistic high-multiplicity heavy-ion events as point clouds.
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Braking protons at the EIC: from invisible meson decay to new physics searches
The EIC can probe invisible pseudoscalar meson decays down to branching ratios of 10^{-8} and invisibly decaying ALPs with couplings up to 10^5 GeV for masses 0.1-2 GeV.
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Pretrained Event Classification Model for High Energy Physics Analysis
A pretrained GNN on 120M simulated LHC events improves downstream event-classification accuracy when training data are scarce, with benefits shrinking as data grow.