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Roger Huang18/06/2026, 10:35Sharable AI ToolsShareable AI Tools
Modern neutrino analyses are generally simulation-based, requiring some choice of underlying neutrino event generator. However, since different neutrino event generators vary significantly in their predictions, it is useful to test simulation-based analyses with different event generators to check for any dependencies on the choice of generator. This is often practically difficult to do due to...
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Gregor Krzmanc (SLAC)18/06/2026, 11:00Applications in Experiments
Future AI-based studies in particle physics will likely start from a foundation model to accelerate training and enhance sensitivity. As a step towards a general-purpose foundation model for particle physics, we investigate whether the OmniLearned foundation model pre-trained on diverse high-$Q^2$ simulated and real $pp$ and $ep$ collisions can be effectively transferred to a few-GeV...
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Dr Jessie Micallef (Tufts University)18/06/2026, 11:30Sharable AI Tools
The Deep Underground Neutrino Experiment (DUNE) aims to accomplish precision measurements of neutrino oscillation. DUNE will use the world’s most intense neutrino beam, expecting over 100 neutrino interactions in the near-site Liquid Argon detector per spill. Resolving the overlapping particle signatures in the near detector will be vital for providing precision neutrino oscillation...
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Karla Tame (Fermilab)18/06/2026, 13:30Sharable AI Tools
To enable an accurate determination of oscillation parameters, accelerator-based neutrino experiments require detailed simulations of nuclear interaction physics in the GeV regime. While substantial effort from both theory and experiment is currently being invested to improve the fidelity of these simulations, their present deficiencies typically oblige experimental collaborations to resort to...
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