analiza aiqbench
This article introduces LaMET-Agent, an open-source LLM framework designed to automate the complex, multi-stage workflow of Large-Momentum Effective Theory (LaMET) calculations in lattice QCD. By converting expert-dependent procedures into a reproducible pipeline, the tool significantly lowers the barrier for high-energy physicists to perform systematic parton distribution analyses. The release validates this approach on four distinct end-to-end cases involving pion and kaon distributions, demonstrating consistent results with established published calculations.
LaMET-Agent: An Agent Framework for Large-Momentum Effective Theory Analysis
arXiv:2609.32225v1 Announce Type: cross Abstract: Large-momentum effective theory (LaMET) provides a first-principles framework for computing the $x$ dependence of light-cone parton distributions from lattice QCD. Over the past decade, theoretical and numerical advances have established a mature multi-stage workflow for systematic calculation of parton physics, although its implementation still requires expert judgment and substantial repeated effort. We present lamet-agent, an open-source large language model (LLM) agent framework that organizes this workflow into an executable, reproducible, and inspectable analysis pipeline. The present release supports collinear quark distributions and implements correlator analysis, renormalization, Fourier transformation, perturbative matching, continuum, physical pion mass and infinite-momentum extrapolations, and automated result review. We validate it on four end-to-end analyses: pion parton distribution functions in the gauge-invariant and Coulomb-gauge formulations, and pion and kaon distribution amplitudes, obtaining results consistent with the published calculations. Extensions to transverse-momentum-dependent distributions, generalized transverse-momentum-dependent distributions, and gluonic distribution functions are planned for subsequent releases.
Abstract:Large-momentum effective theory (LaMET) provides a first-principles framework for computing the $x$ dependence of light-cone parton distributions from lattice QCD. Over the past decade, theoretical and numerical advances have established a mature multi-stage workflow for systematic calculation of parton physics, although its implementation still requires expert judgment and substantial repeated effort. We present lamet-agent, an open-source large language model (LLM) agent framework that organizes this workflow into an executable, reproducible, and inspectable analysis pipeline. The present release supports collinear quark distributions and implements correlator analysis, renormalization, Fourier transformation, perturbative matching, continuum, physical pion mass and infinite-momentum extrapolations, and automated result review. We validate it on four end-to-end analyses: pion parton distribution functions in the gauge-invariant and Coulomb-gauge formulations, and pion and kaon distribution amplitudes, obtaining results consistent with the published calculations. Extensions to transverse-momentum-dependent distributions, generalized transverse-momentum-dependent distributions, and gluonic distribution functions are planned for subsequent releases.
High Energy Physics - Lattice (hep-lat); Artificial Intelligence (cs.AI); High Energy Physics - Phenomenology (hep-ph)
arXiv:2609.32225 [hep-lat]
(or arXiv:2609.32225v1 [hep-lat] for this version)
https://doi.org/10.48550/arXiv.2609.32225 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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