A framework aligns flow pattern representations with LLM embeddings, enabling natural language queries for explorative flow visualization without manual labeling.
Charmonium Production at High Energy in the k_T-Factorization Approach
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abstract
We study charmonium production at high-energy colliders (Tevatron, HERA, and LEP2) in the framework of the k_T-factorization approach and the factorization formalism of non-relativistic quantum chromodynamics at leading order in the strong-coupling constant alpha_s and the relative velocity v. The transverse-momentum distributions of direct and prompt J/psi-meson production measured at the Fermilab Tevatron are fitted to obtain the non-perturbative long-distance matrix elements for different choices of unintegrated gluon distribution functions in the proton. Using the matrix elements thus obtained, we predict charmonium production rates in gamma-gamma, gamma-p, and deep-inelastic e-p collisions including the contributions from both direct and resolved photons. The results are compared with the known ones obtained in the conventional parton model and with recent experimental data from HERA and LEP2.
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Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models
A framework aligns flow pattern representations with LLM embeddings, enabling natural language queries for explorative flow visualization without manual labeling.