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We have studied the prospects of using the Drell-Yan dilepton process in pion-nucleus collisions as a novel input in the global analysis of nuclear parton distribution functions (nPDFs). In a NLO QCD framework, we find the measured nuclear…

高能物理 - 唯象学 · 物理学 2017-10-17 Petja Paakkinen , Kari J. Eskola , Hannu Paukkunen

Parton distribution functions (PDFs) are comprehensive and not reliant on the process. They are affected by nuclear matter during nuclear scattering process. As a recent approach, in order to study the nuclear PDFs (nPDFs), the nucleon pair…

核理论 · 物理学 2025-11-11 A. Mirjalili , M. Akbari Ahmadmahmoudi , H. Abdolmaleki , M. M. Yazdanpanah

Despite the success of modern nuclear parton distribution functions (nPDFs) in describing nuclear hard-process data, they still suffer from large uncertainties. One of the poorly constrained features is the possible asymmetry in nuclear…

核理论 · 物理学 2017-02-15 Petja Paakkinen , Kari J. Eskola , Hannu Paukkunen

The Drell-Yan process is an invaluable tool for probing the structure of hadrons, and the pion-induced Drell-Yan process is unique in its sensitivity to several subtleties of the partonic structure. This is a brief review of the pionic…

核理论 · 物理学 2015-06-16 Wen-Chen Chang , Dipangkar Dutta

We present QCD corrections to the Drell-Yan process in the transversely polarized, longitudinally polarized and unpolarized cases. The analytical results are presented in a form valid for all $n$-dimensional regularization schemes. A…

高能物理 - 唯象学 · 物理学 2009-10-28 B. Kamal

We calculate nuclear effect in Drell-Yan massive lepton-pair production in terms of parton multiple scattering in Quantum Chromodynamics (QCD). We present the nuclear modification to inclusive Drell-Yan cross section $d\sigma/dQ^2$ in terms…

高能物理 - 唯象学 · 物理学 2009-11-07 Jianwei Qiu , Xiaofei Zhang

We evaluate the uncertainties due to nuclear effects in global fits of proton parton distribution functions (PDFs) that utilise deep-inelastic scattering and Drell-Yan data on deuterium targets. To do this we use an iterative procedure to…

高能物理 - 唯象学 · 物理学 2021-02-03 Richard D. Ball , Emanuele R. Nocera , Rosalyn L. Pearson

Modern analyses of experimental data from hadron colliders rely on theory predictions at high orders in perturbation theory and a variety of input settings. Interpolation grids facilitate an almost instant re-evaluation of theory…

高能物理 - 唯象学 · 物理学 2025-01-24 Juan Cruz-Martinez , Alexander Huss , Christopher Schwan

We discuss the nuclear parton distribution functions on the basis of our recently developed semi-microscopic model, which takes into account a number of nuclear effects including Fermi motion and nuclear binding, nuclear meson-exchange…

高能物理 - 唯象学 · 物理学 2015-12-11 S. A. Kulagin , R. Petti

We study the nuclear parton distribution functions on the basis of our recently developed semi-microscopic model, which takes into account a number of nuclear effects including nuclear shadowing, Fermi motion and nuclear binding, nuclear…

高能物理 - 唯象学 · 物理学 2015-06-19 S. A. Kulagin , R. Petti

We evaluate the cross section for the pion induced Drell-Yan process in two different models of the pion light-front wave function, inspired by light-front holographic approaches. We obtain the valence quark distribution functions in those…

高能物理 - 唯象学 · 物理学 2020-07-23 Jiangshan Lan , Chandan Mondal

We calculate the nuclear enhancement in Drell-Yan transverse momentum distribution in hadron-nucleus collisions. In terms of multiple scattering picture, we compute the contributions from double scattering. Applying the generalized…

高能物理 - 唯象学 · 物理学 2009-10-30 Xiaofeng Guo

We present an analysis of unpolarized Drell-Yan pair production in pion-nucleus scattering with a particular focus into the pion dynamics. The study consists in analyzing the effect of the partonic longitudinal and, especially, transverse…

高能物理 - 唯象学 · 物理学 2020-01-08 A. Courtoy

In this work, we focus on the possible linear relation between short-range correlations (SRCs) and the EMC effect for partons in nuclei. First, we test a linear relationship pertaining to gluons in bound nuclei; it is manifested as a…

高能物理 - 唯象学 · 物理学 2026-01-21 Shu-Man Hu , Wei Wang , Ji Xu , Xing-Hua Yang , Shuai Zhao

The longitudinally polarized Drell-Yan process is one of most powerful tools to probe the structure of hadrons. By means of the recent formalism of the polarized proton-deuteron(pd) Drell-Yan, we calculate the ratio of the proton-deuteron…

高能物理 - 唯象学 · 物理学 2010-01-15 Chun-Gui Duan , Li-Jie Shi , Peng-Nian Shen , Guang-Lie Li

Generalized parton distributions (GPDs) encoding multidimensional information of hadron partonic structure appear as the building blocks in a factorized description of hard exclusive reactions. The nucleon GPDs have been accessed by deeply…

We study nuclear medium effects in Drell-Yan processes at small target x using quark parton distribution functions and nucleon structure functions for a bound nucleon calculated in a microscopic nuclear model which takes into account the…

核理论 · 物理学 2014-06-09 H. Haider , M. Sajjad Athar , I. Ruiz Simo , S. K. Singh

We present a thorough analysis of unpolarized Drell-Yan (DY) pair production in pion-nucleus scattering. On the nucleus side, we use nuclear parton distributions along with parametrisations of the nucleon partonic transverse distribution…

高能物理 - 唯象学 · 物理学 2018-08-29 Federico Alberto Ceccopieri , Aurore Courtoy , Santiago Noguera , Sergio Scopetta

Uncertainties in the parametrization of Parton Distribution Functions are a serious limiting systematic uncertainty in Large Hadron Collider searches for Beyond the Standard Model physics. This is especially true for measurements at high…

高能物理 - 唯象学 · 物理学 2026-01-27 Yao Fu , Raymond Brock , Daniel Hayden , Chien-Peng Yuan

We present a new global QCD analysis of nuclear parton distribution functions. In addition to the most commonly analyzed data sets for deep inelastic scattering of charged leptons off nuclei and Drell Yan di-lepton production, we include…

高能物理 - 唯象学 · 物理学 2012-04-18 Daniel de Florian , Rodolfo Sassot , Marco Stratmann , Pia Zurita
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