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相关论文: LHC lead data and nuclear PDFs

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We review recent progress in the determination of the parton distribution functions (PDFs) of the proton, with emphasis on the applications for precision phenomenology at the Large Hadron Collider (LHC). First of all, we introduce the…

高能物理 - 唯象学 · 物理学 2018-05-23 Jun Gao , Lucian Harland-Lang , Juan Rojo

We develop in more detail our reweighting method for incorporating new datasets in parton fits based on a Monte Carlo representation of PDFs. After revisiting the derivation of the reweighting formula, we show how to construct an unweighted…

We quantify the impact of LHCb D-meson measurements at $\sqrt{s}=5 \, {\rm TeV}$ on the EPPS16 and nCTEQ15 nuclear PDFs. In our study, the theoretical description of D-meson production is based on the recently developed SACOT-$m_{\rm T}$…

高能物理 - 唯象学 · 物理学 2019-06-11 Kari J. Eskola , Ilkka Helenius , Petja Paakkinen , Hannu Paukkunen

We discuss the foundation for a new global nCTEQ nuclear PDF analysis, combining a number of our previous analyses into one consistent framework with updates to the underlying theoretical treatment as well as the addition of new available…

Global perturbative QCD analyses, based on large data sets from e-p and hadron collider experiments, provide tight constraints on the parton distribution function (PDF) in the proton. The extension of these analyses to nuclear parton…

高能物理 - 唯象学 · 物理学 2011-04-07 Paloma Quiroga-Arias , José Guilherme Milhano , Urs Achim Wiedemann

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

The choice of data that enters a global QCD analysis can have a substantial impact on the resulting parton distributions and their predictions for collider observables. One of the main reasons for this has to do with the possible presence…

高能物理 - 唯象学 · 物理学 2014-09-11 Juan Rojo

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

We investigate the impact of the latest gluon parton results from lattice QCD on the global parton distribution function (PDF) analysis within the CTEQ-TEA framework. The dependence on PDF parameterization is explored using the CT18As…

高能物理 - 唯象学 · 物理学 2025-02-18 Alim Ablat , Sayipjamal Dulat , Tie-Jiun Hou , Huey-Wen Lin , Keping Xie , C. -P. Yuan

We summarize recent progress toward the next generation of CTEQ-TEA parton distribution functions, CT25, based on a global NNLO analysis that incorporates a significant sample of newly included LHC data. We present a baseline fit within the…

高能物理 - 唯象学 · 物理学 2025-12-30 A. Ablat , A. Courtoy , S. Dulat , Y. Fu , M. Guzzi , T. J. Hobbs , J. Huston , K. Mohan , P. Nadolsky , M. Ponce-Chavez , D. Stump , K. Xie , C. -P. Yuan

The unprecedented precision of experimental measurements at the Large Hadron Collider (LHC) and the increased statistics that will be reached in the High-Luminosity phase of the LHC (HL-LHC) are pushing the phenomenology community to a new…

高能物理 - 唯象学 · 物理学 2024-04-15 Maria Ubiali

Vector meson production in ultra-peripheral pA and AA collisions at the CERN Large Hadron Collider (LHC) are very sensitive to Parton Distribution Functions (PDF) as well as to their leading-order, next-to-leading-order, and medium…

高能物理 - 唯象学 · 物理学 2016-03-08 J. Thomas , C. A. Bertulani , N. Brady , D. B. Clark , E. Godat , F. Olness

This contribution to the Italian "Workshop sui Monte Carlo, la Fisica e le Simulazioni a LHC", held at LNF, Frascati, in February, May and October 2006, summarises the status of parton density functions (PDF's) and the impact of their…

高能物理 - 实验 · 物理学 2019-08-13 A. Tricoli

We review the current status of spin-averaged and spin-dependent parton distribution functions (PDFs) of the nucleon. After presenting the formalism used to fit PDFs in modern global data analyses, we discuss constraints placed on the PDFs…

高能物理 - 唯象学 · 物理学 2015-06-16 P. Jimenez-Delgado , W. Melnitchouk , J. F. Owens

A study is presented of the impact of simulated inclusive Electron Ion Collider Deep Inelastic Scattering data on the determination of the proton and nuclear parton distribution functions (PDFs) at next-to-next-to-leading and…

We present progress towards a unified framework enabling the simultaneous determination of the parton distribution functions (PDFs) of the proton, deuteron, and nuclei up to lead $(^{208}\rm{Pb})$. Our approach is based on the integration…

高能物理 - 唯象学 · 物理学 2023-07-13 Tanjona Rabemananjara

The LHC data will provide sensitivity to an unification of the couplings at low energies in the range $\sim$10-100 TeV. It is demonstrated in this note that the lack of knowledge on the proton structure, specifically its gluon distribution,…

高能物理 - 唯象学 · 物理学 2007-05-23 S. Ferrag

The interpretation of LHC measurements requires a careful estimate of various sources of uncertainties that affect theoretical calculations. In this contribution, we present the PDF4LHC Working Group recommendations for the usage of sets of…

高能物理 - 唯象学 · 物理学 2016-06-28 Juan Rojo

Precision phenomenology at the LHC requires accounting for both higher-order QCD and electroweak corrections as well as for photon-initiated subprocesses. Building upon the recent NNPDF3.1 fit, in this work the photon content of the proton…

高能物理 - 唯象学 · 物理学 2018-07-25 Valerio Bertone , Stefano Carrazza , Nathan P. Hartland , Juan Rojo

A new and simple statistical approach is performed to calculate the parton distribution functions (PDFs) of the nucleon in terms of light-front kinematic variables. Analytic expressions of x-dependent PDFs are obtained in the whole x…

高能物理 - 唯象学 · 物理学 2011-04-07 Lijing Shao , Yunhua Zhang , Bo-Qiang Ma