Chiral Light Front Perturbation Theory and the Flavor Dependence of the Light-Quark Nucleon Sea

Abstract

The light-quark flavor dependence of the proton sea has been of great interest for many years because of its close connection with non-perturbative effects. One hypothesis is that this dependence arises from the pion cloud of the proton. We apply light cone perturbation theory and experimental constraints to a chiral Lagrangian to compute the relevant Fock-space components of the nucleon wave function with well-defined uncertainties. Existing experimental information regarding the light flavor sea is studied, and predictions for future experimental results are provided. Future experiments have the ability to rule out this hypothesis and have profound implications for understanding the nucleon-nucleon force.

10 pages, 8 figures - text expanded, figures and references added, published version

References in corpus (7)

• Chiral effective field theory and nuclear forces
• Soft-Gluon Resummation and the Valence Parton Distribution Function of the Pion
• Nucleon Axial Radius and Muonic Hydrogen - A New Analysis and Review
• Flavor Structure of the Nucleon Sea
• Pion momentum distributions in the nucleon in chiral effective theory
• Historical perspective and future prospects for nuclear interactions
• Quantifying the nucleon's pion cloud with transverse charge densities

Cited by in corpus (9)

• The Asymmetry of Antimatter in the Proton
• The non-triviality of the vacuum in light-front quantization: An elementary treatment
• Strong Interaction Physics at the Luminosity Frontier with 22 GeV Electrons at Jefferson Lab
• Hadronic structure on the light-front V. Diquarks, Nucleons and multiquark Fock components
• Measurement of flavor asymmetry of light-quark sea in the proton with Drell-Yan dimuon production in $p+p$ and $p+d$ collisions at 120 GeV
• Pions in Proton Structure and Everywhere Else
• Flavor asymmetry from the non-perturbative nucleon sea
• Dynamical Nucleon-Pion System via Basis Light-Front Quantization
• Bayesian Monte Carlo extraction of sea asymmetry with SeaQuest and STAR data