High Energy Physics - Phenomenology
PulseAugur coverage of High Energy Physics - Phenomenology — every cluster mentioning High Energy Physics - Phenomenology across labs, papers, and developer communities, ranked by signal.
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AI diffusion models applied to particle physics for parameter discovery
Researchers have developed a novel approach using diffusion models, a type of generative AI, to search for parameters within flavor models that align with experimental constraints. This method was applied to the $S_4^\p…
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New pre-training method boosts jet foundation model performance
Researchers have developed an improved pre-training method for jet foundation models, building upon the initial OmniJet-alpha work. This new approach enhances next token prediction by incorporating continuous feature ve…
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Neutrino mass textures analyzed with ML and cosmological data
This research paper revisits neutrino mass textures, specifically one-zero and two-zero configurations, by analyzing current experimental and cosmological data. The study identifies viable texture structures using neutr…