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Uncertainties in the parametrization of Parton Distribution Functions (PDFs) are becoming a serious limiting systematic uncertainty in Large Hadron Collider (LHC) searches for Beyond the Standard Model physics. This is especially true for…

高能物理 - 实验 · 物理学 2019-03-13 Christopher Willis , Raymond Brock , Daniel Hayden , Tie-Jiun Hou , Joshua Isaacson , Carl Schmidt , Chien-Peng Yuan

The parton distribution functions (PDFs) of the proton, a necessary input to almost all theory predictions for hadron colliders, are reviewed in this document. An introduction to the PDF determination by global analyses of the main PDF…

高能物理 - 唯象学 · 物理学 2019-08-14 Ringaile Placakyte

Using the new schemes provided by the CTEQ and MRST collaborations and by Alekhin, we analyse the uncertainties due to the parton distribution functions (PDFs) on the next-to-leading-order cross sections of the four main production…

高能物理 - 唯象学 · 物理学 2009-11-10 Abdelhak Djouadi , Samir Ferrag

We describe parton density function sensitivity studies, using muon final states produced through the Drell-Yan process via W, Z or $\gamma^*$ down to a Q^2 of 10 GeV^2. This makes use of LHCb's unique ability to trigger on low transverse…

高能物理 - 实验 · 物理学 2010-11-19 Francesco De Lorenzi

Precision determinations of Standard Model (SM) Electro-Weak (EW) parameters at the Large Hadron Collider (LHC) are dominated by uncertainties due to Parton Distribution Functions (PDFs). Reweighting and profiling techniques are routinely…

高能物理 - 唯象学 · 物理学 2021-05-26 Juri Fiaschi , Francesco Giuli , Francesco Hautmann , Stefano Moretti

In this paper we explore the use of results on forward particle production at the LHC to constrain nuclear Parton Density Functions (nPDFs). The case study here is based on a possible future measurement of forward photon production with the…

高能物理 - 唯象学 · 物理学 2019-09-13 Marco van Leeuwen

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 study at a quantitative level the impact of the uncertainties on the value of the W boson mass measured at hadron colliders due to: the proton parton distribution functions (PDFs), the value of the strong coupling constant alpha_S and…

高能物理 - 唯象学 · 物理学 2011-07-05 G. Bozzi , J. Rojo , A. Vicini

We study the potential of the LHCb 13 TeV single $W^{\pm}$ and $Z$ boson pseudo-data for constraining the parton distribution functions (PDFs) of the proton. As an example, we demonstrate the sensitivity of the LHCb 13 TeV data, collected…

高能物理 - 唯象学 · 物理学 2021-01-26 Qilin Deng , Qundong Han , Hang Yin , Sayipjamal Dulat , Tie-Jiun Hou , C. -P. Yuan

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

Parton distributions are an essential ingredient of the LHC program. PDFs are relevant for precision Standard Model measurements, for Higgs boson characterization as well as for New Physics searches. In this contribution I review recent…

高能物理 - 唯象学 · 物理学 2013-05-16 Juan Rojo

Achieving the highest precision for theoretical predictions at the LHC requires the calculation of hard-scattering cross-sections that include perturbative QCD corrections up to (N)NNLO and electroweak (EW) corrections up to NLO. Parton…

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 study the effect on the parton distribution functions (PDFs) from the inclusion of projected measurements in the Drell-Yan (DY) di-lepton production neutral channel of the angular coefficient associated to the $Z$-boson longitudinal…

高能物理 - 唯象学 · 物理学 2021-10-06 Juri Fiaschi

The parton densities of the proton are of fundamental importance not only for our description of hadronic and nuclear structure, but also for reliable predictions for new heavy particle searches at colliders. At the large partonic momentum…

高能物理 - 唯象学 · 物理学 2013-11-08 M. Brandt , M. Klasen

We apply the Lagrange Multiplier method to study the uncertainties of physical predictions due to the uncertainties of parton distribution functions (PDFs), using the cross section for W production at a hadron collider as an archetypal…

高能物理 - 唯象学 · 物理学 2009-09-25 D. Stump , J. Pumplin , R. Brock , D. Casey , J. Huston , J. Kalk , H. L. Lai , W. K. Tung

Recent measurements of inclusive and semi-inclusive deep inelastic scattering in electron-proton collisions at HERA are reviewed. These measurements are used to determine the parton distribution functions (PDFs) of the proton, a necessary…

高能物理 - 实验 · 物理学 2019-08-14 K. Lipka

We present a study of the LHC (and HL-LHC) potential towards a precise determination of the gluon parton distribution function of the proton at intermediate Bjorken-$x$ from measurements of Drell-Yan production. To this extent, we exploit a…

高能物理 - 唯象学 · 物理学 2021-08-23 Simone Amoroso

We present new parton distribution functions (PDFs) at next-to-leading order (NLO) and next-to-next-to-leading order (NNLO) in perturbative QCD, derived from a comprehensive global QCD analysis of high-precision data sets from combined HERA…

高能物理 - 唯象学 · 物理学 2024-12-17 Majid Azizi , Maryam Soleymaninia , Hadi Hashamipour , Maral Salajegheh , Hamzeh Khanpour , Ulf-G. Meißner

Precision electroweak tests are a powerful probe of physics beyond the Standard Model, but the sensitivity is limited by the precision with which the $W$ boson mass ($M_W$) has been measured. The Parton Distribution Function (PDF)…

高能物理 - 实验 · 物理学 2019-06-21 Stephen Farry , Olli Lupton , Martina Pili , Mika Vesterinen