LaMET-Agent: An Agent Framework for Large-Momentum Effective Theory Analysis
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.
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BibTeX
@misc{he2026lametagent,
title = {{LaMET-Agent: An Agent Framework for Large-Momentum Effective Theory Analysis}},
author = {Jinchen He and Xiangyu Jiang and Fei Yao and Dian-Jun Zhao},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.32225},
eprint = {2609.32225},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.32225},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - LaMET-Agent: An Agent Framework for Large-Momentum Effective Theory Analysis
AU - Jinchen He
AU - Xiangyu Jiang
AU - Fei Yao
AU - Dian-Jun Zhao
PY - 2026
DA - 2026/09/26
PB - arXiv
DO - 10.48550/arxiv.2609.32225
UR - https://arxiv.org/abs/2609.32225
AB - 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.
ER -