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相关论文: Parton Densities from Collider Data

200 篇论文

We revisit the global QCD analysis of parton-to-kaon fragmentation functions at next-to-leading order accuracy using the latest experimental information on single-inclusive kaon production in electron-positron annihilation, lepton-nucleon…

高能物理 - 唯象学 · 物理学 2017-05-31 D. de Florian , M. Epele , R. J. Hernandez-Pinto , R. Sassot , M. Stratmann

Following a ground-breaking proposal by Ji~\cite{PhysRevLett.110.262002}, numerical simulations of Quantum Chromo Dynamics (QCD) on a Euclidean lattice have provided new, valuable information on the structure of hadrons. In this talk, we…

高能物理 - 格点 · 物理学 2022-11-29 Luigi Del Debbio

We briefly discuss recent research on the spin-averaged parton densities of the proton, focusing on some aspects relevant to hard processes at the LHC. Specifically, after recalling the basic framework and the need for higher-order…

高能物理 - 唯象学 · 物理学 2007-07-30 Andreas Vogt

We study the correlation between different sets of parton distributions (PDFs). Specifically, viewing different PDF sets as distinct determinations, generally correlated, of the same underlying physical quantity, we examine the extent to…

高能物理 - 唯象学 · 物理学 2021-12-09 Richard D. Ball , Stefano Forte , Roy Stegeman

It has become apparent in recent years that it is important, notably for a range of physics studies at the Large Hadron Collider, to have accurate knowledge on the distribution of photons in the proton. We show how the photon parton…

高能物理 - 唯象学 · 物理学 2016-12-19 Aneesh Manohar , Paolo Nason , Gavin P. Salam , Giulia Zanderighi

The determination of parton distribution functions in the nucleon and nuclei is important for obtaining precise hadron-reaction cross sections, from which any new exotic signature could be found. We show that a future neutrino factory could…

高能物理 - 唯象学 · 物理学 2009-11-07 S. Kumano

Having access to the parton-level kinematics is important for understanding the internal dynamics of particle collisions. Here, we present new results aiming to an efficient reconstruction of parton collisions using machine-learning…

高能物理 - 唯象学 · 物理学 2022-10-10 German F. R. Sborlini , David F. Rentería-Estrada , Roger J. Hernández-Pinto , Pia Zurita

Neutrino Deep Inelastic Scattering on nuclei is an essential process to constrain the strange quark parton distribution functions in the proton. The critical component on the way to using the neutrino DIS data in a proton PDF analysis is…

高能物理 - 唯象学 · 物理学 2011-07-18 K. Kovarik

We possess convincing experimental evidence for the fact that the real photon has non-trivial parton structure. On the other hand, interactions of the cosmic microwave background photons with high energy particles propagating through the…

高能物理 - 唯象学 · 物理学 2009-04-24 I. Alikhanov

We accomplish for the first time the next-to-leading-order QCD computations of the leading-twist contributions to the Dirac form factors of both the proton and the neutron by applying the hard-collinear factorization theorem rigorously. The…

高能物理 - 唯象学 · 物理学 2024-07-29 Yong-Kang Huang , Bo-Xuan Shi , Yu-Ming Wang , Xue-Chen Zhao

Using a simple picture of the constituent quark as a composite system of point-like partons, we construct the polarized parton distributions by a convolution between constituent quark momentum distributions and constituent quark structure…

高能物理 - 唯象学 · 物理学 2011-04-15 Sergio Scopetta , Vicente Vento , Marco Traini

After a brief recapitulation of the general interest of parton densities, we discuss multiple hard interactions and multiparton distributions. We report on recent theoretical progress in their QCD description, on outstanding conceptual…

高能物理 - 唯象学 · 物理学 2015-06-03 Markus Diehl

We give an overview of the theory for generalized parton distributions. Topics covered are their general properties and physical interpretation, the possibility to explore the three-dimensional structure of hadrons at parton level, their…

高能物理 - 唯象学 · 物理学 2008-11-26 M. Diehl

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

It has been suggested that parton distributions in coordinate space, so called Ioffe-time distributions, provide a more natural object for non-perturbative methods compared to the usual momentum distributions. In this paper we argue that…

高能物理 - 唯象学 · 物理学 2009-10-28 L. Mankiewicz , T. Weigl

We present the first global analysis of fragmentation functions (FFs) for light charged hadrons ($\pi^{\pm}$, $K^{\pm}$) at full next-to-next-to-leading order in Quantum Chromodynamics (QCD), incorporating world data from both…

高能物理 - 唯象学 · 物理学 2025-07-28 Jun Gao , XiaoMin Shen , Hongxi Xing , Yuxiang Zhao , Bin Zhou

Parton luminosities are convenient for estimating how the physics potential of Large Hadron Collider experiments depends on the energy of the proton beams. I present parton luminosities, ratios of parton luminosities, and contours of fixed…

高能物理 - 唯象学 · 物理学 2009-09-08 Chris Quigg

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

We present a new, comprehensive global analysis of parton-to-pion fragmentation functions at next-to-leading order accuracy in QCD. The obtained results are based on the latest experimental information on single-inclusive pion production in…

高能物理 - 唯象学 · 物理学 2015-06-23 D. de Florian , R. Sassot , M. Epele , R. J. Hernandez-Pinto , M. Stratmann

Optimum nuclear parton distributions are determined by an analysis of muon and electron deep inelastic scattering data. Assuming simple A dependence and polynomial functions of x and 1-x for nuclear modification of parton distributions, we…

高能物理 - 唯象学 · 物理学 2015-06-25 M. Hirai , S. Kumano , M. Miyama