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By means of the nuclear parton distributions determined without the fixed-target Drell-Yan experimental data and the analytic expression of quenching weight based on BDMPS formalism, a next-to-leading order analyses are performed on the…

高能物理 - 唯象学 · 物理学 2023-02-10 Wei-Jie Xu , Tian-Xing Bai , Chun-Gui Duan

By means of two different parametrizations of quark energy loss and the nuclear parton distributions determined only with lepton-nuclear deep inelastic scattering experimental data, a leading order phenomenological analysis is performed on…

高能物理 - 唯象学 · 物理学 2009-12-31 C. G. Duan , N. Liu , G. L. Li

Nuclear modification of hadron production in deep inelastic lepton-nucleus scattering can be applied to study the parton propagation mechanism in cold nuclear matter. By means of the analytic parameterization of quenching weight based on…

高能物理 - 唯象学 · 物理学 2023-02-07 Tian-Xing Bai , Chun-Gui Duan

By means of the analytic parameterizations of quenching weights based on BDMPS formalism, the leading-order computations for nuclear Drell-Yan differential cross section rations as a function of the quark momentum fraction are performed…

高能物理 - 唯象学 · 物理学 2017-04-21 Li-Hua Song , Lin-Wan Yan , Chun-Gui Duan

The energy loss effect in nuclear matter is another nuclear effect apart from the nuclear effects on the parton distribution as in deep inelastic scattering process. The quark energy loss can be measured best by the nuclear dependence of…

高能物理 - 唯象学 · 物理学 2009-11-11 ChunGui Duan , LiHua Song , ShuoHe Wang , GuangLie Li

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

By means of two typical kinds of quark energy loss parametrization and the nuclear parton distributions determined only with lepton-nuclear deep inelastic scattering experimental data, a leading order analysis are performed on the…

高能物理 - 唯象学 · 物理学 2015-05-13 Duan Chun-Gui , Liu Na

The energy loss effect in nuclear matter is another nuclear effect apart from the nuclear effects on the parton distribution as in deep inelastic scattering process. The quark energy loss can be measured best by the nuclear dependence of…

高能物理 - 唯象学 · 物理学 2014-11-17 Chun-Gui Duan , Shu-Wen Cui , Zhan-Yuan Yan , Guang-Lie Li

The next-to-leading order and leading order analysis are performed on the differential cross section ratio from Drell-Yan process. It is found that the effect of next-to-leading order corrections can be negligible on the differential cross…

高能物理 - 唯象学 · 物理学 2008-11-26 Chun-Gui Duan , Na Liu , Zhan-Yuan Yan

Within the framework of generalized collinear factorization in perturbative QCD (pQCD), we study the effect of initial multiple parton scattering and induced parton energy loss in Drell-Yan (DY) process in proton-nucleus collisions. We…

高能物理 - 唯象学 · 物理学 2015-05-30 Hongxi Xing , Yun Guo , Enke Wang , Xin-Nian Wang

We calculate the differential Drell-Yan production cross section in proton-nucleus collisions by including both next-to-leading order perturbative effects and effects of the nuclear medium. We demonstrate that dilepton production in fixed…

高能物理 - 唯象学 · 物理学 2015-05-20 R. B. Neufeld , I. Vitev , B. W. Zhang

In this article, we investigate parton energy loss in cold nuclear matter by studying the ratio of Drell-Yan production cross sections in fixed-target proton-nucleus (p + A) collisions. We analyze Drell-Yan production cross-section data…

核理论 · 物理学 2025-03-18 Sourav Kanti Giri , Partha Pratim Bhaduri , Biswarup Paul , Santosh K. Das

A leading-order analysis of E866/NuSea and NA3 Drell-Yan data in nuclei is carried out. At Fermilab energy, the large uncertainties in the amount of sea quark shadowing prohibit clarifying the origin of the nuclear dependence observed…

高能物理 - 唯象学 · 物理学 2009-11-07 Francois Arleo

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

The investigation into the fast parton energy loss in cold nuclear matter is crucial for a good understanding of the parton propagation in hot-dense medium. By means of four typical sets of nuclear parton distributions and three…

高能物理 - 唯象学 · 物理学 2012-06-19 Li-Hua Song , Chun-Gui Duan , Na Liu

We study the nuclear medium effects in Drell-Yan process using quark parton distribution functions calculated in a microscopic nuclear model which takes into account the effects of Fermi motion, nuclear binding and nucleon correlations…

核理论 · 物理学 2017-04-05 H. Haider , M. Sajjad Athar , S. K. Singh , I. Ruiz Simo

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

In this paper, we study the parton dynamics in Drell-Yan collisions involving proton-nuclei interactions in the limit of small transverse momentum, emphasizing the role of the cold nuclear matter effects. The distribution of transverse…

高能物理 - 唯象学 · 物理学 2024-08-21 Weiyao Ke , John Terry , Ivan Vitev

Measurements of the ratio of Drell-Yan yields from an 800 \rm{GeV/c} proton beam incident on liquid hydrogen and deuterium targets are reported. Approximately 360,000 Drell-Yan muon pairs remained after all cuts on the data. From these…

高能物理 - 实验 · 物理学 2012-08-27 NuSea Collaboration , R. S. Towell , P. L. McGaughey

Fermilab Experiment 866 has performed an absolute measurement of continuum dimuon (Drell-Yan) cross sections in 800-GeV/c $pp$ and $pd$ interactions. Results differential in the mass, Feynman-$x$ ($x_F$) and transverse momenta ($p_T$) of…

高能物理 - 实验 · 物理学 2007-05-23 Jason C. Webb
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