2004
DOI: 10.1103/physrevd.70.093008
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Double distributions for the proton

Abstract: We derive double distributions for the proton in a simple model that contains scalar as well as axial-vector diquark correlations. The model parameters are tuned so that the experimentally measured electromagnetic form factors of the proton are reproduced for small momentum transfer. Resulting generalized parton distributions satisfy known constraints, including the positivity bounds.

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Cited by 38 publications
(58 citation statements)
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“…Another study of the di-quark model with connection to the generalized parton distribution is discussed in Ref. [82]. It describes the proton in the double distribution formalism, as a bound state state of a residual quark and two quarks strongly coupled in the scalar and axial-vector diquark channel.…”
Section: More Theoretical Modelsmentioning
confidence: 99%
“…Another study of the di-quark model with connection to the generalized parton distribution is discussed in Ref. [82]. It describes the proton in the double distribution formalism, as a bound state state of a residual quark and two quarks strongly coupled in the scalar and axial-vector diquark channel.…”
Section: More Theoretical Modelsmentioning
confidence: 99%
“…Various parameterizations [26,27,28,29] appear in the literature. The common theme is that deep inelastic scattering structure function νW 2 and the elastic form factors follow the Drell-Yan [30] & West [31] relation: The solid curves are obtained using [20] and the dashed curves with [21].…”
Section: Explanation Of the Neutron's Negative Central Charge Densitymentioning
confidence: 99%
“…Although both polynomiality and positivity are basic properties that must hold in any reasonable model of GPDs, usually the model building community meets a dilemma: one can use the double distribution representation (9) but it does not guarantee that the infinite set of inequalities (8) will be satisfied [29,30,31]. Alternatively one can build the models based on the representation (10) or on the so called overlap representation [15], which also automatically obeys the positivity bounds, but then one meets problems with the polynomiality.…”
Section: Polynomiality and Positivitymentioning
confidence: 99%