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We study the systematic uncertainty and biases introduced by theoretical assumptions needed to include large-$x$ DIS data in a global QCD analysis. Working in the CTEQ-JLab framework, we focus on different implementations of higher-twist…

高能物理 - 唯象学 · 物理学 2024-07-08 Matteo Cerutti , Alberto Accardi , Ishara P. Fernando , Shujie Li

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…

We review the series of specific nCTEQ analyses of nuclear parton distribution functions (PDFs) published since 2020 and present preliminary results of a new global analysis. Building on a modern proton baseline without nuclear data and…

高能物理 - 唯象学 · 物理学 2025-10-08 M. Klasen

We report on the progress in updating our global analysis of nuclear PDFs. In particular, we will discuss the inclusion of double differential 5.02 TeV dijet and D-meson measurements, as well as 8.16 TeV W-production data from p-Pb…

高能物理 - 唯象学 · 物理学 2021-09-22 Kari J. Eskola , Petja Paakkinen , Hannu Paukkunen , Carlos A. Salgado

In global analyses of nuclear parton distribution functions (nPDFs), neutrino deep-inelastic scattering (DIS) data have been argued to exhibit tensions with the data from charged-lepton DIS. Using the nCTEQ framework, we investigate these…

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 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

We compare predictions of nCTEQ15 nuclear parton distribution functions with proton-lead vector boson production data from the LHC. We select data sets that are most sensitive to nuclear PDFs and have potential to constrain them. We…

高能物理 - 唯象学 · 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

I discuss several corrections to leading twist calculations of nucleon structure functions which are needed to include experimental data at large parton fractional momentum x and at low scales Q^2 in global fits of parton distribution…

高能物理 - 唯象学 · 物理学 2015-05-27 Alberto Accardi

We use the nCTEQ analysis framework to investigate nuclear Parton Distribution Functions (nPDFs) in the region of large x and intermediate-to-low $Q$, with special attention to recent JLab Deep Inelastic Scattering data on nuclear targets.…

We investigate the systematic uncertainties and potential biases arising from the inclusion of large-$x$ corrections to proton and deuteron deep inelastic scattering (DIS) data in global quantum chromodynamics (QCD) analyses. Using the…

高能物理 - 唯象学 · 物理学 2025-05-16 Matteo Cerutti , Alberto Accardi , Ishara P. Fernando , Shujie Li , Joseph F. Owens , Sanghwa Park

Neutrino\antineutrino deep inelastic scattering (DIS) data provide useful constrains for the flavor decomposition in global fits of parton distribution functions (PDF). The smallness of the cross-sections requires the use of nuclear targets…

高能物理 - 唯象学 · 物理学 2014-11-20 Hannu Paukkunen , Carlos A. Salgado

We discuss implementation of the LHC experimental data sets in the new CT18 global analysis of quantum chromodynamics (QCD) at the next-to-next-leading order of the QCD coupling strength. New methodological developments in the fitting…

We review progress in the global QCD analysis by the CTEQ-TEA group since the publication of CT18 parton distribution functions (PDFs) in the proton. Specifically, we discuss comparisons of CT18 NNLO predictions with the LHC 13 TeV…

The neutrino deep inelastic scattering (DIS) data is very interesting for global analyses of proton and nuclear parton distribution functions (PDFs) since they provide crucial information on the strange quark distribution in the proton and…

高能物理 - 唯象学 · 物理学 2011-11-07 K. Kovarik , I. Schienbein , F. I. Olness , J. Y. Yu , C. Keppel , J. G. Morfin , J. F. Owens , T. Stavreva

This report summarizes the latest developments in the CTEQ-TEA global analysis of parton distribution functions (PDFs) in the nucleon. The focus is on recent NNLO fits to high-precision LHC data at 8 and 13 TeV, including Drell-Yan, jet,…

高能物理 - 唯象学 · 物理学 2024-11-26 A. Ablat , A. Courtoy , S. Dulat , M. Guzzi , T. J. Hobbs , T. -J. Hou , J. Huston , K. Mohan , H. -W. Lin , P. Nadolsky , I. Sitiwaldi , K. Xie , M. Yan , C. -P. Yuan

We present the new parton distribution functions (PDFs) from the CTEQ-TEA collaboration, obtained using a wide variety of high-precision Large Hadron Collider (LHC) data, in addition to the combined HERA I+II deep-inelastic scattering data…

We study the nuclear effects in the neutrino\anti-neutrino-nucleon deep inelastic scattering (DIS) by comparing the NuTeV, CDHSW, and CHORUS cross-sections from Iron and Lead targets to the predictions derived from the latest parton…

高能物理 - 唯象学 · 物理学 2011-04-22 Hannu Paukkunen , Carlos A. Salgado

The status of the global fits of nuclear parton distributions (nPDFs) is reviewed. In addition to comparing the contemporary analyses of nPDFs, difficulties and controversies posed by the neutrino-nucleus deeply inelastic scattering data is…

高能物理 - 唯象学 · 物理学 2015-06-18 Hannu Paukkunen

We present a review of the conceptual basis, present knowledge and recent progress in the field of global analysis of nuclear parton distribution functions (PDFs). After introducing the theoretical foundations and methodological approaches…

高能物理 - 唯象学 · 物理学 2024-01-26 M. Klasen , H. Paukkunen
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