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相关论文: EPPS16: Nuclear parton distributions with LHC data

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We present three new sets of next-to-leading order parton distribution functions (PDFs) determined by global fits to a wide variety of data for hard scattering processes. The analysis includes target mass and higher twist corrections needed…

高能物理 - 唯象学 · 物理学 2013-05-15 J. F. Owens , A. Accardi , W. Melnitchouk

We present NNPDF3.0, the first set of parton distribution functions (PDFs) determined with a methodology validated by a closure test. NNPDF3.0 uses a global dataset including HERA-II deep-inelastic inclusive cross-sections, the combined…

Recent studies suggest that global fits of Parton Distribution Functions (PDFs) might inadvertently 'fit away' signs of new physics in the high-energy tails of the distributions measured at the high luminosity programme of the LHC (HL-LHC).…

高能物理 - 唯象学 · 物理学 2024-10-03 Elie Hammou , Maria Ubiali

The potential of the LHeC, a future electron-proton collider, for precision Deep Inelastic Scattering measurements is reviewed with particular emphasis on the reduction of uncertainties on the parton distribution functions (PDFs) of the…

高能物理 - 唯象学 · 物理学 2019-08-14 A. M. Cooper-Sarkar

Nuclear modifications to collinear parton distribution functions are conventionally quantified by the ratios $ r^{\textrm{A}}_i(x,Q^2) = f^\textrm{A,proton}_i(x,Q^2) / f^\textrm{proton}_i(x,Q^2) $. For a given nucleus $A$, these ratios…

高能物理 - 唯象学 · 物理学 2025-10-13 Meng-Quan Yang , Peng Ru , Ben-Wei Zhang

Determination of the nuclear parton distributions within the framework of perturbative QCD, the DGLAP equations in particular, is discussed. Scale and flavour dependent nuclear effects in the parton distributions are compared with the scale…

高能物理 - 唯象学 · 物理学 2007-05-23 K. J. Eskola , H. Honkanen , V. J. Kolhinen , P. V. Ruuskanen , C. A. Salgado

The CMS measurement of dijet pseudorapidity distributions in pPb versus pp collisions at 5.02 TeV provides a direct probe on nuclear gluon PDFs. We show that while the predicted pPb pseudorapidity distributions suffer from sizable…

高能物理 - 唯象学 · 物理学 2018-12-14 Kari J. Eskola , Petja Paakkinen , Hannu Paukkunen

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

The key results on lepton-pair production in ultra-relativistic nuclear collisions are shortly reviewed, starting at the roots of pp collisions in the seventies, and ending at the perspectives of the colliders RHIC and LHC. The presence is…

核实验 · 物理学 2008-11-26 H. J. Specht

This paper presents an analysis at next-to-next-to-leading order in the theory of quantum chromodynamics for the determination of a new set of proton parton distribution functions using diverse measurements in $pp$ collisions at $\sqrt{s} =…

高能物理 - 实验 · 物理学 2022-05-27 ATLAS Collaboration

The description of the structure of proton is fundamental in order to describe the standard model processes at the LHC as well as for the searching of New Physics. Quantum fluctuations imply the presence of photons and leptons inside the…

高能物理 - 唯象学 · 物理学 2023-05-10 Victor P. Goncalves , Daniel E. Martins

The prospects of measuring a single-differential dijet cross section during the proposed short proton-oxygen data taking at LHC Run 3 are studied using next-to-leading-order perturbative QCD predictions. With reasonable experimental cuts…

高能物理 - 唯象学 · 物理学 2022-03-02 Petja Paakkinen

We present a first determination of the nuclear parton distribution functions (nPDF) based on the NNPDF methodology: nNNPDF1.0. This analysis is based on neutral-current deep-inelastic structure function data and is performed up to NNLO in…

高能物理 - 唯象学 · 物理学 2019-07-23 Rabah Abdul Khalek , Jacob J. Ethier , Juan Rojo

Nuclear parton distribution functions (NPDFs) are determined by global analyses of experimental data on structure-function ratios F_2^A/F_2^{A'} and Drell-Yan cross-section ratios \sigma_{DY}^A/\sigma_{DY}^{A'}. The analyses are done in the…

高能物理 - 唯象学 · 物理学 2008-11-26 M. Hirai , S. Kumano , T. -H. Nagai

We study nuclear effects of charged current deep inelastic neutrino-iron scattering in the framework of a chi^2 analysis of parton distribution functions (PDFs). We extract a set of iron PDFs which are used to compute x_Bj-dependent and…

高能物理 - 唯象学 · 物理学 2008-06-05 I. Schienbein , J. Y. Yu , C. Keppel , J. G. Morfin , Fredrick I. Olness , J. F. Owens

This work focuses on applications of perturbative QCD (pQCD) and collinear factorization theorem to hard particle production in nuclear and hadronic collisions at the BNL-RHIC and CERN-LHC colliders. The emphasis is on nuclear parton…

高能物理 - 唯象学 · 物理学 2014-08-29 Ilkka Helenius

Recently a new set of Parton Distribution Functions (NNPDF1.2) has been produced and released by the NNPDF Collaboration. The inclusion of dimuon data in the analysis allows a determination of the strange content of the proton with faithful…

高能物理 - 唯象学 · 物理学 2009-07-28 Alberto Guffanti , Juan Rojo , Maria Ubiali

We present results from a detailed assessment of the ultimate constraining power of LHC data on the PDFs that can be expected from the complete dataset, in particular after the High-Luminosity (HL) phase. To achieve this, HL-LHC pseudo-data…

高能物理 - 唯象学 · 物理学 2019-07-11 Shaun Bailey

We report global analysis results of experimental data for nuclear structure-function ratios F_2^A/F_2^{A'} and proton-nucleus Drell-Yan cross-section ratios sigma_{DY}^{pA}/sigma_{DY}^{pA'} in order to determine optimum parton distribution…

高能物理 - 唯象学 · 物理学 2009-11-10 M. Hirai , S. Kumano , T. -H. Nagai

We provide a comprehensive comparison of W/Z vector boson production data in proton-lead and lead-lead collisions at the LHC with predictions obtained using the nCTEQ15 PDFs. We identify the measurements which have the largest potential…

核理论 · 物理学 2017-08-02 A. Kusina , F. Lyonnet , D. B. Clark , E. Godat , T. Jezo , K. Kovarik , F. I. Olness , I. Schienbein , J. Y. Yu