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相关论文: Global Analyses of Nuclear PDFs

200 篇论文

Nuclear Generalized Parton Distributions (GPDs), a unique tool to access several crucial features of nuclear structure, could be measured in the coherent channel of hard exclusive processes, such as deep electroproduction of photons and…

核理论 · 物理学 2007-05-23 Sergio Scopetta

The measurement of nuclear generalized parton distributions (GPDs) in hard exclusive processes, such as deeply virtual Compton Scattering (DVCS), will be one of the main achievements of a new generation of experiments at high luminosity,…

核理论 · 物理学 2021-02-03 Sara Fucini , Matteo Rinaldi , Sergio Scopetta

We present a set of parton distribution functions (PDFs), based on the NNPDF2.3 set, which includes a photon PDF, and QED contributions to parton evolution. We describe the implementation of the combined QCD+QED evolution in the NNPDF…

We present the first official release of the nCTEQ nuclear parton distribution functions with errors. The main addition to the previous nCTEQ PDFs is the introduction of PDF uncertainties based on the Hessian method. Another important…

高能物理 - 唯象学 · 物理学 2016-08-17 A. Kusina , K. Kovarik , T. Jezo , D. B. Clark , C. Keppel , F. Lyonnet , J. G. Morfin , F. I. Olness , J. F. Owens , I. Schienbein , J. Y. Yu

We extract the ratio of the down (d) and up (u) parton distribution functions (PDF's) from the ratio of deuteron and proton structure function F_2(d)/F_2(p) measured by NMC. We use corrections for nuclear binding effects in the deuteron,…

高能物理 - 唯象学 · 物理学 2007-05-23 U. K. Yang , A. Bodek

We explore the potential of an Electron Ion Collider to determine nuclear modifications of PDFs. We find that gluon shadowing can be accurately measured down to x=0.001, and discuss the possibility of detecting non--linear QCD effects with…

高能物理 - 唯象学 · 物理学 2011-06-21 Alberto Accardi , Vadim Guzey , Juan Rojo

The next-to-leading order (NLO) evolution of the parton distribution functions (PDFs) in QCD is a common tool in the lepton-hadron and hadron-hadron collider data analysis. The standard NLO DGLAP evolution is formulated for inclusive…

高能物理 - 唯象学 · 物理学 2010-02-02 S. Jadach , M. Skrzypek , A. Kusina , M. Slawinska

The comparative analysis of different sets of the parton distribution functions (PDFs), based on the description of the whole sets of experimental data of electromagnetic form factors of the proton and neutron, is made in the framework of…

高能物理 - 唯象学 · 物理学 2015-06-19 O. V. Selyugin

The progress in constraining proton and nuclear parton distribution functions is briefly summarised. Some persistent uncertainties are pointed out and recent experimental advancements highlighted.

高能物理 - 唯象学 · 物理学 2022-11-17 Petja Paakkinen

Nuclear parton distributions are studied in a parton model with rescaling and recombination mechanisms. Parton x distributions are first calculated at Q^2=1 GeV^2 by the model, and they are evolved to larger Q^2 in order to be compared with…

高能物理 - 唯象学 · 物理学 2007-05-23 S. Kumano , K. Umekawa

We suggest that a previously conjectured relation between Structure Functions (SF) for nuclei and nucleons also links distribution functions (df) for partons in a nucleus and in nucleons. The above suggestion ensures in principle identical…

核理论 · 物理学 2009-11-11 A. S. Rinat , M. F. Taragin

An updated next-to-leading order (NLO) QCD analysis of the spin asymmetries A_1^N(x,Q^2) and parton distributions delta f(x,Q^2) in longitudinally polarized deep-inelastic lepton-nucleon scattering is presented within the framework of the…

高能物理 - 唯象学 · 物理学 2007-05-23 M. Stratmann

Generalized parton distributions provide information on the longitudinal and transverse distribution of partons in the fast moving nucleon. Furthermore, they contain information on the spin structure of the nucleon. First results of a…

高能物理 - 唯象学 · 物理学 2008-11-26 M. Göckeler , T. R. Hemmert , R. Horsley , D. Pleiter , P. E. L. Rakow , A. Schäfer , G. Schierholz , W. Schroers

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 study the structure of generalized parton distributions in spin 0 nuclei within a microscopic approach for nuclear dynamics. GPDs can be used on one side as tools to unravel the deep inelastic transverse structure of nuclei in terms of…

高能物理 - 唯象学 · 物理学 2009-11-11 S. Liuti , S. K. Taneja

We perform a global fit of parton distribution functions (PDFs) together with the strong coupling constant $\alpha_s$ and the quark masses $m_c$, $m_b$ and $m_t$ at next-to-leading order (NLO) in QCD. The analysis applies the…

高能物理 - 唯象学 · 物理学 2018-09-10 S. Alekhin , J. Blümlein , S. Moch

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

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

We study nuclear effects in charged current deep inelastic neutrino-iron scattering in the frame-work of a chi^2 analysis of parton distribution functions. We extract a set of iron PDFs and show that under reasonable assumptions it is…

高能物理 - 唯象学 · 物理学 2008-11-26 I. Schienbein , J. Y. Yu , C. Keppel , J. G. Morfin , Fredrick I. Olness , J. F. Owens

We extract new parton distribution functions (PDFs) of the proton by global analysis of hard scattering data in the general-mass framework of perturbative quantum chromodynamics. Our analysis includes new theoretical developments together…

高能物理 - 唯象学 · 物理学 2010-10-27 Hung-Liang Lai , Marco Guzzi , Joey Huston , Zhao Li , Pavel M. Nadolsky , Jon Pumplin , C. -P. Yuan