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相关论文: Large-Momentum Effective Theory's Asymptotic Extra…

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Large-Momentum Effective Theory (or LaMET) advocated by the present authors provides a direct approach to simulate parton physics in Eulidean lattice QCD theory. Recently, there has been much interest in this theory in the literature, with…

高能物理 - 唯象学 · 物理学 2017-09-20 Xiangdong Ji , Jian-Hui Zhang , Yong Zhao

Although equivalent in the infinite-momentum limit, large-momentum effective theory (LaMET) and short-distance operator product expansion (SD-OPE) are two different approaches to extract parton distribution functions (PDFs) from…

高能物理 - 格点 · 物理学 2022-09-21 Xiangdong Ji

In arXiv:2504.17706 {Dutrieux:2025jed} we criticized the excessive model-dependence introduced by rigid few-parameter fits to extrapolate lattice data in the large momentum effective theory (LaMET) when the data are noisy and lose signal…

One proposal to compute parton distributions from first principles is the large momentum effective theory (LaMET), which requires the Fourier transform of matrix elements computed non-perturbatively. Lattice quantum chromodynamics (QCD)…

Large Momentum Effective Theory (LaMET) provides a general framework for computing the multi-dimensional partonic structure of the proton from first principles using lattice quantum chromodynamics (QCD). In this effective field theory…

高能物理 - 格点 · 物理学 2026-03-04 Yong Zhao

Since the parton model was introduced by Feynman more than fifty years ago, we have learned much about the partonic structure of the proton through a large body of high-energy experimental data and dedicated global fits. However,…

高能物理 - 唯象学 · 物理学 2021-09-08 Xiangdong Ji , Yu-Sheng Liu , Yizhuang Liu , Jian-Hui Zhang , Yong Zhao

Large-momentum effective theory (LaMET) provides an approach to directly calculate the $x$-dependence of generalized parton distributions (GPDs) on a Euclidean lattice through power expansion and a perturbative matching. When a parton's…

高能物理 - 唯象学 · 物理学 2025-07-29 Jack Holligan , Huey-Wen Lin , Rui Zhang , Yong Zhao

There have been rapid developments in the direct calculation in lattice QCD (LQCD) of the Bjorken-$x$ dependence of hadron structure through large-momentum effective theory (LaMET). LaMET overcomes the previous limitation of LQCD to moments…

高能物理 - 格点 · 物理学 2020-02-25 Rui Zhang , Zhouyou Fan , Ruizi Li , Huey-Wen Lin , Boram Yoon

Parton physics, when formulated as light-front correlations, are difficult to study non-perturbatively, despite the promise of light-front quantization. Recently an alternative approach to partons have been proposed by re-visiting original…

高能物理 - 唯象学 · 物理学 2014-04-29 Xiangdong Ji

We show that transverse-momentum-dependent parton distribution functions (TMDPDFs), important non-perturbative quantities for describing the properties of hadrons in high-energy scattering processes such as Drell-Yan and semi-inclusive…

高能物理 - 唯象学 · 物理学 2020-12-30 Xiangdong Ji , Yizhuang Liu , Yu-Sheng Liu

In large-momentum effective theory (LaMET), calculating parton physics starts from calculating coordinate-space-$z$ correlation functions $\tilde h(z, a,P^z)$ in a hadron of momentum $P^z$ in lattice QCD. Such correlation functions involve…

高能物理 - 唯象学 · 物理学 2021-01-20 Xiangdong Ji , Yizhuang Liu , Andreas Schäfer , Wei Wang , Yi-Bo Yang , Jian-Hui Zhang , Yong Zhao

We demonstrate that gluon transverse-momentum-dependent parton distribution functions (TMDPDFs) can be extracted from lattice calculations of appropriate Euclidean correlations in large-momentum effective theory (LaMET). Based on…

高能物理 - 唯象学 · 物理学 2023-02-14 Ruilin Zhu , Yao Ji , Jian-Hui Zhang , Shuai Zhao

In a large-momentum nucleon state, the matrix element of a gauge-invariant Euclidean Wilson line operator accessible from lattice QCD can be related to the standard light-cone parton distribution function through the large-momentum…

高能物理 - 唯象学 · 物理学 2018-09-19 Taku Izubuchi , Xiangdong Ji , Luchang Jin , Iain W. Stewart , Yong Zhao

In large-momentum effective theory (LaMET), the transverse-momentum-dependent (TMD) light-front wave functions and soft functions can be extracted from the simulation of a four-quark form factor and equal-time correlation functions. In this…

高能物理 - 理论 · 物理学 2022-09-21 Zhi-Fu Deng , Wei Wang , Jun Zeng

Partons are effective degrees of freedom describing the structure of hadrons involved in high-energy collisions. Familiar theories of partons are QCD light-front quantization and soft-collinear effective theory, both of which are…

高能物理 - 唯象学 · 物理学 2020-08-12 Xiangdong Ji

We present a lattice-QCD calculation of the unpolarized isovector parton distribution function (PDF) using ensembles at the physical pion mass with large proton boost momenta $P_z \in \{2.2,2.6,3.0\}$~GeV within the framework of…

高能物理 - 格点 · 物理学 2018-05-21 Jiunn-Wei Chen , Luchang Jin , Huey-Wen Lin , Yu-Sheng Liu , Yi-Bo Yang , Jian-Hui Zhang , Yong Zhao

We systematically investigated the limited inverse discrete Fourier transform of the quasi distributions from the perspective of inverse problem theory. This transformation satisfies two of Hadamard's well-posedness criteria, existence and…

高能物理 - 格点 · 物理学 2025-06-23 Ao-Sheng Xiong , Jun Hua , Ting Wei , Fu-Sheng Yu , Qi-An Zhang , Yong Zheng

The large-momentum effective theory (LaMET) framework has been widely used to determine the Bjorken-$x$ dependence of parton distribution functions (PDFs) in lattice-QCD hadron-structure calculations. In this proceeding, I highlighted…

高能物理 - 格点 · 物理学 2021-10-14 Huey-Wen Lin

This paper proposes a robust and computationally efficient estimation framework for fitting parametric distributions based on trimmed L-moments. Trimmed L-moments extend classical L-moment theory by downweighting or excluding extreme order…

统计方法学 · 统计学 2025-05-16 Chudamani Poudyal , Qian Zhao , Hari Sitaula

In the large-momentum expansion for parton distribution functions (PDFs), the natural physics scale is the longitudinal momentum ($p_z$) of the quarks (or gluons) in a large-momentum hadron. We show how to expose this scale dependence…

高能物理 - 唯象学 · 物理学 2023-05-17 Yushan Su , Jack Holligan , Xiangdong Ji , Fei Yao , Jian-Hui Zhang , Rui Zhang
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