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相关论文: TMD PDFs in the Laguerre polynomial basis

200 篇论文

Parton distribution functions (PDFs) at large $x$ are challenging to extract from experimental data, yet they are essential for understanding hadron structure and searching for new physics beyond the Standard Model. Within the framework of…

高能物理 - 唯象学 · 物理学 2025-03-03 Xiangdong Ji , Yizhuang Liu , Yushan Su , Rui Zhang

We present a controlled $x$-resolved numerical diagnosis of target-mass corrections (TMC) in the operator-product-expansion sum-rule approach to inelastic quarkonium--nucleon interactions, using global-fit gluon PDFs ABMP16, MSHT20, CT18…

高能物理 - 唯象学 · 物理学 2026-05-27 Arkadiy I. Syamtomov

We compute, at one loop in perturbation theory, the probability density function of the total magnetization $M$ of the Ising model on the 4-torus and the 4-sphere. We develop a single perturbative expansion that is valid in the symmetric…

高能物理 - 理论 · 物理学 2020-05-06 Andrea Allais

The relations between TMDs and PDFs are obtained from the symmetry requirement: relativistic covariance combined with rotationally symmetric parton motion in the nucleon rest frame. This requirement is applied in the covariant parton model.…

高能物理 - 唯象学 · 物理学 2010-01-28 A. V. Efremov , P. Schweitzer , O. V. Teryaev , P. Zavada

Transverse momentum dependent (TMD) parton distribution functions (PDFs), TMDs for short, are defined as the Fourier transform of matrix elements of nonlocal combinations of quark and gluon fields. The nonlocality is bridged by gauge links,…

高能物理 - 唯象学 · 物理学 2015-09-30 D. Boer , M. G. A. Buffing , P. J. Mulders

The power corrections in the Operator Product Expansion (OPE) of QCD correlators can be viewed mathematically as an illustration of the transseries concept, which allows to recover a function from its asymptotic divergent expansion.…

高能物理 - 唯象学 · 物理学 2020-09-29 Irinel Caprini

In this work, we study non-parametric estimation of joint probabilities of a given set of discrete and continuous random variables from their (empirically estimated) 2D marginals, under the assumption that the joint probability could be…

机器学习 · 计算机科学 2022-03-04 Shaan ul Haque , Ajit Rajwade , Karthik S. Gurumoorthy

We propose a new, physically motivated fitting function for density PDFs in turbulent gas. Although it is known that when gas is isothermal, the PDF is approximately lognormal in the core, high-resolution simulations show large deviations…

星系天体物理 · 物理学 2013-07-02 Philip F. Hopkins

We discuss the method of conformal mappings applied to perturbative QCD. The approach is based on the Borel-Laplace integral regulated with the principal value prescription and the expansion of the Borel transform in powers of the variable…

高能物理 - 唯象学 · 物理学 2021-09-01 Irinel Caprini

Perturbation theory makes it possible to calculate the probability distribution function (PDF) of the large scale density field in the small variance limit. For top hat smoothing and scale-free Gaussian initial fluctuations, the result…

天体物理学 · 物理学 2015-06-24 S. Colombi , F. Bernardeau , F. R. Bouchet , L. Hernquist

We derive relations between polarized transverse momentum dependent distribution functions (TMDs) and the usual parton distribution functions (PDFs) in the 3D covariant parton model, which follow from Lorentz invariance and the assumption…

高能物理 - 唯象学 · 物理学 2015-03-17 A. V. Efremov , P. Schweitzer , O. V. Teryaev , P. Zavada

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

We derive relations between transverse momentum dependent distribution functions (TMDs) and the usual parton distribution functions (PDFs) in the 3D covariant parton model, which follow from Lorentz invariance and the assumption of a…

高能物理 - 唯象学 · 物理学 2011-05-10 A. V. Efremov , P. Schweitzer , O. V. Teryaev , P. Zavada

The operator definition of generalised transverse-momentum-dependent (GTMD) distributions is exploited to compute for the first time the full set of one-loop corrections to the off-forward matching functions. These functions allow one to…

高能物理 - 唯象学 · 物理学 2022-11-09 Valerio Bertone

We revisit the calculation of the evolution equations for four unpolarized twist-3 transverse momentum dependent (TMD) parton distribution functions (PDFs) at $\mathcal {O}(\alpha_s)$. Unlike the existing calculations in the literature,…

高能物理 - 唯象学 · 物理学 2025-07-01 Xue-Tao Liu , Ping-An Liu , Yu-Lu Liu , An-Ping Chen

Partial Differential Equations (PDEs) are fundamental tools for modeling physical phenomena, yet most PDEs of practical interest cannot be solved analytically and require numerical approximations. The feasibility of such numerical methods,…

数值分析 · 数学 2025-12-03 Juan Esteban Suarez Cardona , Holger Boche , Gitta Kutyniok

Probabilistic Manifold Decomposition (PMD)\cite{doi:10.1137/25M1738863}, developed in our earlier work, provides a nonlinear model reduction by embedding high-dimensional dynamics onto low-dimensional probabilistic manifolds. The PMD has…

数值分析 · 数学 2026-01-13 Jiaming Guo , Dunhui Xiao

In this paper, we address the fundamental problem of line spectral estimation in a Bayesian framework. We target model order and parameter estimation via variational inference in a probabilistic model in which the frequencies are…

信息论 · 计算机科学 2017-04-05 Mihai-Alin Badiu , Thomas Lundgaard Hansen , Bernard Henri Fleury

We present the perturbative calculation of the leading-twist gluon transverse momentum dependent distribution functions (TMDPDFs) at one-loop level within large-momentum effective theory. By employing the basis of circular polarizations, we…

高能物理 - 唯象学 · 物理学 2025-12-10 Xiupeng Xie , Zhun Lu

It is well known that exact notions of model abstraction and reduction for dynamical systems may not be robust enough in practice because they are highly sensitive to the specific choice of parameters. In this paper we consider this problem…

系统与控制 · 计算机科学 2018-07-19 Luca Cardelli , Mirco Tribastone , Max Tschaikowski , Andrea Vandin