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相关论文: Updates of the MMHT2014 PDFs

200 篇论文

We present updated nCTEQ nuclear parton distribution functions with errors including pion production data from RHIC. We compare them with the results of other groups and present selected LHC applications.

高能物理 - 唯象学 · 物理学 2014-10-24 A. Kusina , K. Kovarik , T. Jezo , D. B. Clark , F. I. Olness , I. Schienbein , J. Y. Yu

We present the MSHT20qed set of parton distribution functions (PDFs). These are obtained from the MSHT20 global analysis via a refit including QED corrections to the DGLAP evolution at ${\cal O}(\alpha),{\cal O}(\alpha\alpha_S)$ and ${\cal…

高能物理 - 唯象学 · 物理学 2022-02-16 T. Cridge , L. A. Harland-Lang , A. D. Martin , R. S. Thorne

The parton distribution functions (PDFs) are a non-negotiable input to almost all theory predictions at hadron colliders. In this talk, I introduce PDF determination by global analysis and discuss selected topics concerning recent relevant…

高能物理 - 唯象学 · 物理学 2010-01-25 Graeme Watt

Parton distribution functions (pdfs) are an important ingredient for LHC phenomenology. Recent progress in determining pdfs from global analyses is reviewed, and some of the most important outstanding issues are highlighted. Particular…

高能物理 - 唯象学 · 物理学 2008-12-15 W. James Stirling

Parton Distribution Functions (PDFs) contribute significantly to the uncertainty on the determination of the top-quark pole mass and other precision measurements at the Large Hadron Collider (LHC). It is crucial to understand these…

高能物理 - 唯象学 · 物理学 2024-01-25 Jason P. Gombas , Reinhard Schwienhorst , Binbin Dong , Jarrett Fein

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…

The parton distribution functions (PDFs) which characterize the structure of the proton are currently one of the dominant sources of uncertainty in the predictions for most processes measured at the Large Hadron Collider (LHC). Here we…

A short review of the currently available modern parton distribution functions (PDFs)and the theory predictions obtained using those PDFs for several benchmark processes at LHC, including Higgs boson production, is presented in this…

高能物理 - 唯象学 · 物理学 2016-09-23 Ringaile Placakyte

We present updated leading-order, next-to-leading order and next-to-next-to-leading order parton distribution functions ("MSTW 2008") determined from global analysis of hard-scattering data within the standard framework of leading-twist…

高能物理 - 唯象学 · 物理学 2009-09-30 A. D. Martin , W. J. Stirling , R. S. Thorne , G. Watt

The quantum statistical parton distributions approach proposed more than one decade ago is revisited by considering a larger set of recent and accurate Deep Inelastic Scattering experimental results. It enables us to improve the description…

高能物理 - 唯象学 · 物理学 2017-04-05 Jacques Soffer , Claude Bourrely

We reexamine the dominant contribution of parton distribution function (PDF) uncertainties to the W mass measurement, and determine their contribution is +-39(30) MeV when running the Large Hadron Collider at 7(13) TeV. We find that…

高能物理 - 唯象学 · 物理学 2015-08-19 Zack Sullivan , Seth Quackenbush

There have been recent updates to the three global PDF fits (CT, MSHT and NNPDF), all adding large amounts of data from the LHC, and this has resulted in significant changes to the global PDFs. Given the impact that the new PDFs will have…

高能物理 - 唯象学 · 物理学 2021-08-23 Thomas Cridge

Heavy quark parton distribution functions (PDFs) play an important role in several Standard Model and New Physics processes. Most analyses rely on the assumption that the charm and bottom PDFs are generated perturbatively by gluon splitting…

高能物理 - 唯象学 · 物理学 2016-04-20 Florian Lyonnet

We present the MMHT2015qed PDF set, resulting from the inclusion of QED corrections to the existing set of MMHT Parton Distribution Functions (PDFs), and which contain the photon PDF of the proton. Adopting an input distribution from the…

高能物理 - 唯象学 · 物理学 2021-05-10 L. A. Harland-Lang , A. D. Martin , R. Nathvani , R. S. Thorne

We discuss the two most recent global analyses of nuclear parton distribution functions within the nCTEQ approach. LHC data on $W/Z$-boson, single-inclusive hadron and heavy quark/quarkonium production are shown to not only significantly…

高能物理 - 唯象学 · 物理学 2022-10-20 M. Klasen , P. Duwentäster , T. Jezo , K. Kovarik , A. Kusina , J. G. Morfin , K. F. Muzakka , F. I. Olness , R. Ruiz , I. Schienbein , J. Y. Yu

We construct a set of parton distribution functions (PDFs), based on the recent NNPDF4.0 PDF set, that also include a photon PDF. The photon PDF is constructed using the LuxQED formalism, while QED evolution accounting for O(alpha), O(alpha…

We investigate the effect of extending the standard MSTW parameterisation of input parton distribution functions (PDFs) using Chebyshev polynomials. We find evidence that four powers in the polynomial are sufficient for extremely high…

高能物理 - 唯象学 · 物理学 2013-03-18 A. D. Martin , A. J. Th. M. Mathijssen , W. J. Stirling , R. S. Thorne , B. J. A. Watt , G. Watt

We present an update of the ABM12 PDF analysis including improved constraints due to the final version of the inclusive DIS HERA data, the Tevatron and LHC data on the W- and Z-production and those on heavy-quark production in the electron-…

高能物理 - 唯象学 · 物理学 2016-09-13 S. Alekhin , J. Bluemlein , S. Moch , R. Placakyte

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 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