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相关论文: Constraining Parton Distribution Functions from Ne…

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In this study, we examine closely the impact of the post-CT18 LHC Drell-Yan data on parton distribution functions (PDFs) in the general CTEQ-TEA global analysis framework. We compare the two main theoretical predictions, the MCFM fixed…

高能物理 - 唯象学 · 物理学 2023-06-08 Ibrahim Sitiwaldi , Keping Xie , Alim Ablat , Sayipjamal Dulat , Tie-Jiun Hou , C. - P. Yuan

We present an analysis to extract kaon parton distribution functions (PDFs) for the first time using meson-induced Drell-Yan and quarkonium production data. Starting from the statistical model first developed for determining the partonic…

高能物理 - 唯象学 · 物理学 2023-09-21 Claude Bourrely , Franco Buccella , Wen-Chen Chang , Jen-Chieh Peng

We reexamine the dominant contribution of parton distribution function (PDF) uncertainties to the W mass measurement, and determine their contribution is +-39(30) MeV when running the Large Hadron Collider at 7(13) TeV. We find that…

高能物理 - 唯象学 · 物理学 2015-08-19 Zack Sullivan , Seth Quackenbush

The parton distribution functions (PDFs) which characterize the structure of the proton are currently one of the dominant sources of uncertainty in the predictions for most processes measured at the Large Hadron Collider (LHC). Here we…

The prospects for a measurement of nuclear parton distribution functions (PDFs) at the Large Hadron--Electron Collider are discussed in the light of recent progress made in the front of global analysis of nuclear PDFs.

高能物理 - 唯象学 · 物理学 2019-08-12 Hannu Paukkunen

The valence quark parton distribution functions (PDFs) of all ground state heavy mesons that composed of $b$ or $c$ quarks, are discussed; namely, the pseudoscalar $\eta_c(1S)$, $\eta_b(1S)$ and $B_c$, together with the corresponding vector…

高能物理 - 唯象学 · 物理学 2026-01-01 Qian Wu , Zhu-Fang Cui , Jorge Segovia

The electron, positron, and photon Parton Distribution Functions (PDFs) of the unpolarised electron have recently been computed at the next-to-leading logarithmic accuracy in QED, by adopting the $\overline{\rm MS}$ factorisation scheme. We…

高能物理 - 唯象学 · 物理学 2021-12-22 Stefano Frixione

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 the parton distribution functions (PDFs) for un- polarised, longitudinally polarized and transversely polarized quarks in a proton using the light-front quark diquark model. We also present the scale evolution of PDFs and…

高能物理 - 唯象学 · 物理学 2018-01-08 Tanmay Maji , Dipankar Chakrabarti

At large values of $x$ the parton distribution functions (PDFs) of the proton are poorly constrained and there are considerable variations between different global fits. Data at such high $x$ have already been published by the ZEUS…

高能物理 - 实验 · 物理学 2021-07-14 Ritu Aggarwal

We discuss the influence of fixed target Drell-Yan data on the extraction of parton distribution functions at next-to-next-to-leading order (NNLO) in QCD. When used in a parton distribution fit, the Drell-Yan (DY) data constrain sea quark…

高能物理 - 唯象学 · 物理学 2008-11-26 Sergey Alekhin , Kirill Melnikov , Frank Petriello

It has become apparent in recent years that it is important, notably for a range of physics studies at the Large Hadron Collider, to have accurate knowledge on the distribution of photons in the proton. We show how the photon parton…

高能物理 - 唯象学 · 物理学 2016-12-19 Aneesh Manohar , Paolo Nason , Gavin P. Salam , Giulia Zanderighi

We present a global determination of parton distribution functions (PDFs) that accounts for higher twist corrections in deep-inelastic scattering (DIS) and linear power corrections for single inclusive jet and dijet production data from the…

高能物理 - 唯象学 · 物理学 2026-02-26 Richard D. Ball , Amedeo Chiefa , Roy Stegeman

We discuss a test of the generalization power of the methodology used in the determination of parton distribution functions (PDFs). The "future test" checks whether the uncertainty on PDFs, in regions in which they are not constrained by…

高能物理 - 唯象学 · 物理学 2021-04-21 Juan Cruz-Martinez , Stefano Forte , Emanuele R. Nocera

We present predictions of the unweighted and weighted double spin asymmetries related to the transversal helicity distribution $g_{1T}$ and the longitudinal transversity distribution $h_{1L}^\perp$, two of eight leading-twist transverse…

高能物理 - 唯象学 · 物理学 2015-05-28 Jiacai Zhu , Bo-Qiang Ma

We investigate the polarized parton distribution functions (PDFs) and their uncertainties by using the world data on the spin asymmetry A_1. The uncertainties of the polarized PDFs are estimated by the Hessian method. The up and down…

高能物理 - 唯象学 · 物理学 2008-11-26 M. Hirai , S. Kumano , N. Saito

We present preliminary results on the determination of spin-dependent, or polarised, Parton Distribution Functions (PDFs) from all relevant inclusive polarised DIS data. The analysis is performed within the NNPDF approach, which provides a…

高能物理 - 唯象学 · 物理学 2012-06-26 Emanuele R. Nocera , Stefano Forte , Giovanni Ridolfi , Juan Rojo

Focusing on hadron scattering at large partonic momentum fractions $x$, we compare nonperturbative QCD predictions for the asymptotic behavior of DIS structure functions and parton distribution functions (PDFs) to the $x$ and $Q$ dependence…

高能物理 - 唯象学 · 物理学 2021-12-30 Aurore Courtoy , Pavel M. Nadolsky

We consider some trends, achievements and a series of remaining problems in the precision determination of parton distribution functions. For the description of the scaling violations of the deep-inelastic scattering data, forming the key…

高能物理 - 唯象学 · 物理学 2018-09-05 S. Alekhin , J. Bluemlein , S. -O. Moch

We investigate the parton distribution functions (PDFs) of the pion and the kaon by combining quantum chromodynamics (QCD) evolution with the basis light front quantization. The initial PDFs result from the light front wave functions…

核理论 · 物理学 2020-07-23 Jiangshan Lan , Chandan Mondal , Shaoyang Jia , Xingbo Zhao , James P. Vary