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相关论文: Quantum Statistics and Parton Distributions

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A previous approach with Fermi-Dirac distributions for fermion partons is here improved to comply with the expected low $x$ behaviour of structure functions. We are so able to get a fair description of the unpolarized and polarized…

高能物理 - 唯象学 · 物理学 2009-10-28 F. Buccella , G. Miele , G. Migliore , V. Tibullo

We recall the physical features of the parton distributions in the quantum statistical approach of the nucleon, which allows to describe simultaneously, unpolarized and polarized Deep Inelastic Scattering data. Some predictions from a…

高能物理 - 唯象学 · 物理学 2015-05-27 Jacques Soffer

A quantum statistical parametrization of parton distributions has been considered. In this framework, the exclusion Pauli principle connects the violation of the Gottfried sum rule with the Ellis and Jaffe one, and implies a defect in the…

高能物理 - 唯象学 · 物理学 2007-05-23 F. Buccella , I. Dorusner , G. Miele , O. Pisanti , P. Santorelli , N. Tancredi

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 2015-10-22 Jacques Soffer , Claude Bourrely

We will describe the quantum statistical approach to parton distributions allowing to obtain simultaneously the unpolarized distributions and the helicity distributions. We will present some recent results, in particular related to the…

高能物理 - 唯象学 · 物理学 2015-06-23 Jacques Soffer , Franco Buccella , Claude Bourrely

Quantum statistical distributions for the partons provide a fair description of deep inelastic scattering data at $Q^2 = 3$ and $10 (GeV/c)^2$. The study of the polarized structure functions seems to suggest an alternative possible solution…

高能物理 - 唯象学 · 物理学 2009-10-28 F. Buccella , G. Miele , N. Tancredi

In the quantum statistical parton distributions approach proposed more than one decade ago to describe the parton structure, new properties are now understood, in particular, the relation between quarks and antiquarks which leads to very…

高能物理 - 唯象学 · 物理学 2018-12-05 Claude Bourrely

The phenomenological motivations, the expressions and the comparison with experiment of the parton distributions inspired by the quantum statistics are described. The Fermi-Dirac expressions for the quarks and their antiparticles…

高能物理 - 唯象学 · 物理学 2012-06-20 Claude Bourrely , Franco Buccella , Jacques Soffer

We review the theoretical foundations of the quantum statistical approach to parton distributions and we show that by using some recent experimental results from Deep Inelastic Scattering, we are able to improve the description of the data…

高能物理 - 唯象学 · 物理学 2015-06-23 Jacques Soffer , Claude Bourrely , Franco Buccella

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 briefly recall the main physical features of the parton distributions in the quantum statistical picture of the nucleon. Some predictions from a next-to-leading order QCD analysis are successfully compared to recent unpolarized and…

高能物理 - 唯象学 · 物理学 2011-12-02 Jacques Soffer

We present parton distribution functions which include a quantitative estimate of its uncertainties. The parton distribution functions are optimized with respect to deep inelastic proton data, expressing the uncertainties as a density…

高能物理 - 唯象学 · 物理学 2007-05-23 Walter T. Giele , Stephane A. Keller , David A. Kosower

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 2015-12-09 Claude Bourrely , Jacques Soffer

We compare the parton distributions deduced in the framework of a quantum statistical approach for both the longitudinal and transverse degrees of freedom with the unpolarized distributions measured at Hera and with the polarized ones…

高能物理 - 唯象学 · 物理学 2015-12-09 Franco Buccella , Sozha Sohaily

The theoretical foundations of the quantum statistical approach to parton distributions are reviewed together with the phenomenological motivations from a few specific features of Deep Inelastic Scattering data. The chiral properties of QCD…

高能物理 - 唯象学 · 物理学 2014-02-05 Jacques Soffer , Claude Bourrely , Franco Buccella

Parton distributions are constructed in a statistical physical picture of the nucleon. The chiral properties of QCD lead to strong relations between quarks and antiquarks distributions and the importance of the Pauli exclusion principle is…

高能物理 - 唯象学 · 物理学 2007-05-23 Jacques Soffer

We briefly recall the main physical features of the parton distributions in the quantum statistical picture of the nucleon. Some predictions from a next-to-leading order QCD analysis are compared to recent experimental results.

高能物理 - 唯象学 · 物理学 2009-12-03 Jacques Soffer

In this paper polarized valon distribution is derived from unpolarized valon distribution. In driving polarized valon distribution some unknown parameters exist which must be determined by fitting to experimental data. Here we have used…

高能物理 - 唯象学 · 物理学 2007-05-23 Ali N. Khorramian , A. Mirjalili , S. Atashbar Tehrani

A large class of polarized and unpolarized deep inelastic data is successfully described with Fermi-Dirac functions for the non-diffractive part of quark parton distributions. The NLO approach used here improves the agreement with…

高能物理 - 唯象学 · 物理学 2007-05-23 F. Buccella , O. Pisanti , L. Rosa

We recall how parton distributions are constructed in a statistical physical picture of the nucleon. The chiral properties of QCD lead to strong relations between quarks and antiquarks distributions and the importance of the Pauli exclusion…

高能物理 - 唯象学 · 物理学 2015-06-25 Jacques Soffer
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