中文
相关论文

相关论文: The CCFM uPDF evolution uPDFevolv

200 篇论文

I review recent progress in the NNPDF global analyses of parton distributions (PDFs) focusing on developments contributing to its new upcoming release: NNPDF4.0. The NNPDF4.0 determination represents unprecedented progress in three main…

高能物理 - 唯象学 · 物理学 2021-04-20 Juan Rojo

We introduce the notion of multiscale covariance tensor fields (CTF) associated with Euclidean random variables as a gateway to the shape of their distributions. Multiscale CTFs quantify variation of the data about every point in the data…

机器学习 · 统计学 2017-03-01 Diego Hernán Díaz Martínez , Facundo Mémoli , Washington Mio

Double parton distribution functions (DPDFs) are used in the QCD description of double parton scattering. The DPDFs evolve with hard scales through QCD evolution equations which obey nontrivial momentum and valence quark number sum rules.…

高能物理 - 唯象学 · 物理学 2014-07-30 Krzysztof Golec-Biernat , Emilia Lewandowska

As multimodal data proliferates across diverse real-world applications, leveraging heterogeneous information such as texts and timestamps for accurate time series forecasting (TSF) has become a critical challenge. While diffusion models…

机器学习 · 计算机科学 2025-12-09 Da Zhang , Bingyu Li , Zhuyuan Zhao , Junyu Gao , Feiping Nie , Xuelong Li

We discuss the unintegrated parton distribution functions (UPDFs) introduced by Kimber, Martin and Ryskin (KMR), which are frequently used in phenomenological analyses of hard processes with transverse momenta of partons taken into account.…

高能物理 - 唯象学 · 物理学 2018-05-09 Krzysztof Golec-Biernat , Anna M. Stasto

Recently, there has been an increased interest in NeRF methods which reconstruct differentiable representation of three-dimensional scenes. One of the main limitations of such methods is their inability to assess the confidence of the model…

计算机视觉与模式识别 · 计算机科学 2024-06-11 Vsevolod Skorokhodov , Darya Drozdova , Dmitry Yudin

In this paper, we introduce the Union-Intersection Union-Find (UIUF) algorithm for decoding depolarizing errors in topological codes, combining the strengths of iterative and standard Union-Find (UF) decoding. While iterative UF improves…

量子物理 · 物理学 2025-07-14 Tzu-Hao Lin , Ching-Yi Lai

We provide code to solve the Dokshitzer-Gribov-Lipatov-Altarelli-Parisi (DGLAP) evolution equations for the nucleon transversity parton distribution functions (PDFs), which encode nucleon transverse spin structure. Though codes are widely…

高能物理 - 唯象学 · 物理学 2025-12-18 Congzhou M Sha , Bailing Ma

We derive the scheme of NLO computations of generic observables in high-energy hadron-hadron collisions within the framework of high-energy factorization (HEF) with one off-shell initial-state parton, by taking a high-energy limit of the…

高能物理 - 唯象学 · 物理学 2025-02-21 Andreas van Hameren , Maxim Nefedov

The phenomenology of velocity statistics in turbulent flows, up to now, relates to different models dealing with either signed or unsigned longitudinal velocity increments, with either inertial or dissipative fluctuations. In this paper, we…

统计力学 · 物理学 2007-05-23 L. Chevillard , B. Castaing , E. Leveque , A. Arneodo

The Parton Branching (PB) Method describes the evolution of transverse momentum dependent parton densities (TMDs). The obtained TMDs can be used in Monte Carlo generators to describe physical observables. We give an overview of recent…

高能物理 - 唯象学 · 物理学 2021-11-04 Lissa Keersmaekers , Sara Taheri Monfared

Patches to the code of the Ultra-relativisic Quantum Molecular Dynamics model (UrQMD version 1.3) are described. They improve the code operation. The most important one is done for the file ANNDEC.F.

核理论 · 物理学 2007-05-23 A. Galoyan , J. Ritman , V. Uzhinsky

In this paper, we propose \textbf{UniCode}, a novel approach within the domain of multimodal large language models (MLLMs) that learns a unified codebook to efficiently tokenize visual, text, and potentially other types of signals. This…

计算机视觉与模式识别 · 计算机科学 2024-03-15 Sipeng Zheng , Bohan Zhou , Yicheng Feng , Ye Wang , Zongqing Lu

We aim to learn wavefunctions simulated by time-dependent density functional theory (TDDFT), which can be efficiently represented as linear combination coefficients of atomic orbitals. In real-time TDDFT, the electronic wavefunctions of a…

机器学习 · 计算机科学 2026-05-08 Xuan Zhang , Haiyang Yu , Chengdong Wang , Jacob Helwig , Shuiwang Ji , Xiaofeng Qian

I present a highly efficient method for evolving parton distributions in perturbative QCD. The method allows evolving the parton distribution functions according to any of the commonly-used truncations of the evolution equations (which…

高能物理 - 唯象学 · 物理学 2014-11-17 David A. Kosower

In using transverse-momentum-dependent (TMD) parton densities and fragmentation functions, important non-perturbative information is at large transverse position $b_T$. This concerns both the TMD functions and their evolution. Fits to high…

高能物理 - 唯象学 · 物理学 2015-07-21 John Collins , Ted C. Rogers

Solving partial differential equations (PDEs) on complex domains can present significant computational challenges. The Diffuse Domain Method (DDM) is an alternative that reformulates the partial differential equations on a larger, simpler…

数值分析 · 数学 2025-07-24 Luke Benfield , Andreas Dedner

Quasi parton distribution functions (QPDFs) are defined in terms of QCD fields at spacelike separations evaluated in matrix elements of hadrons moving with velocity $v$. These objects can be studied in lattice QCD. In the limit when $v$…

高能物理 - 唯象学 · 物理学 2026-05-13 Fatma Aslan , Asli Tandogan , Peter Schweitzer

I show that the forms of the Collins-Soper-Sterman and renormalization-group equations for the evolution of transverse-momentum-dependent (TMD) parton densities in QCD follow from the structure of TMD factorization. A derivation does not…

高能物理 - 唯象学 · 物理学 2019-11-28 John Collins

Experimental data in particle and nuclear physics, particle astrophysics, and radiation protection dosimetry are collected using experimental facilities that consist of a complex system of sensors, electronics, and software. Measured…

数据分析、统计与概率 · 物理学 2026-03-04 Nikolay D. Gagunashvili