Quark-Hadron Duality of Spin Structure Functions in CLAS EG1b Data
Sign Up to like & getrecommendations! Published in 2018 at "Few-Body Systems"
DOI: 10.1007/s00601-018-1429-0
Abstract: The hypothesis of quark-hadron duality infers that physical observables of nucleons can be described by a complete set of basis states using either hadronic or quark degrees of freedom. In the EG1b experiment in Hall-B… read more here.
Keywords: duality; spin structure; structure functions; hbox ... See more keywords
Lattice Boltzmann simulations of high-order statistics in isotropic turbulent flows
Sign Up to like & getrecommendations! Published in 2017 at "Applied Mathematics and Mechanics"
DOI: 10.1007/s10483-018-2254-9
Abstract: The lattice Boltzmann method (LBM) is coupled with the multiple-relaxation-time (MRT) collision model and the three-dimensional 19-discrete-velocity (D3Q19) model to resolve intermittent behaviors on small scales in isotropic turbulent flows. The high-order scaling exponents of… read more here.
Keywords: turbulent flows; velocity; lattice boltzmann; high order ... See more keywords
Stirring anisotropic turbulence with an active grid
Sign Up to like & getrecommendations! Published in 2020 at "Physics of Fluids"
DOI: 10.1063/5.0008021
Abstract: We study spectra and high-order structure functions in anisotropic wind tunnel turbulence, which is generated using an active grid. In the first experiment, we impose homogeneous shear turbulence with a constant gradient of the mean… read more here.
Keywords: isotropy small; return isotropy; turbulence; active grid ... See more keywords
An improved method for estimating the dissipation rate of turbulent kinetic energy using structure functions evaluated from the motion of finite-sized neutrally buoyant particles
Sign Up to like & getrecommendations! Published in 2023 at "Physics of Fluids"
DOI: 10.1063/5.0148473
Abstract: Statistical relations used for estimating the dissipation rate of turbulent kinetic energy (TKE) in isotropic turbulence from the inertial subrange of Lagrangian temporal and spatial structure functions are extended here to the case of more… read more here.
Keywords: estimating dissipation; dissipation rate; structure functions; dissipation ... See more keywords
Resonant contributions to inclusive nucleon structure functions from exclusive meson electroproduction data
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DOI: 10.1103/physrevc.104.025201
Abstract: A. N. Hiller Blin, W. Melnitchouk, V. I. Mokeev, V. D. Burkert, V. V. Chesnokov, A. Pilloni, and A. P. Szczepaniak 1 Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA Skobeltsyn Nuclear Physics… read more here.
Keywords: structure functions; physics; resonant contributions; inclusive nucleon ... See more keywords
Properties of structure functions from helicity components of light quarks and antiquarks in the statistical model
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review C"
DOI: 10.1103/physrevc.98.055202
Abstract: In the quantum statistical parton distribution 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 leads to very specific… read more here.
Keywords: properties structure; functions helicity; model; structure functions ... See more keywords
Structure functions at small x from worldlines: Unpolarized distributions
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.100.054007
Abstract: The worldline representation of quantum field theory is a powerful framework for the computation of perturbative multileg Feynman amplitudes. In particular, in gauge theories, it provides an efficient way, via point particle Grassmann functional integrals,… read more here.
Keywords: structure functions; small worldlines; structure; unpolarized distributions ... See more keywords
Weak structure functions in νl−N and νl−A scattering with nonperturbative and higher order perturbative QCD effects
Sign Up to like & getrecommendations! Published in 2020 at "Physical Review D"
DOI: 10.1103/physrevd.101.033001
Abstract: We study the effect of various perturbative and nonperturbative QCD corrections on the free nucleon structure functions ($F_{iN}^{WI}(x,Q^2); ~i=1-3$) and their implications in the determination of nuclear structure functions. The evaluation of the nucleon structure… read more here.
Keywords: frac sigma; qcd; structure functions; structure ... See more keywords
Impact of recent COMPASS data on polarized parton distributions and structure functions
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review D"
DOI: 10.1103/physrevd.98.056020
Abstract: We perform a new extraction of polarized parton distribution functions (PPDFs) from the spin structure function experimental data in the fixed-flavor number scheme (FFNS). In this analysis, we include recent proton and deuteron spin structure… read more here.
Keywords: impact recent; data polarized; polarized parton; structure functions ... See more keywords
Polarized generalized parton distributions and structure functions of the ρ meson
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DOI: 10.1103/physrevd.99.016023
Abstract: The $\rho$ meson polarized generalized parton distribution functions, its structure functions $g_1$ and $g_2$ and its axial form factors ${\tilde G}_{1,2}$ are studied based on a light-front quark model for the first time. Comparing our… read more here.
Keywords: polarized generalized; meson polarized; generalized parton; structure functions ... See more keywords
Machine learning characterization of structural defects in amorphous packings of dimers and ellipses.
Sign Up to like & getrecommendations! Published in 2019 at "Physical review. E"
DOI: 10.1103/physreve.99.022903
Abstract: Structural defects within amorphous packings of symmetric particles can be characterized using a machine learning approach that incorporates structure functions of radial distances and angular arrangement. This yields a scalar field, softness, that correlates with… read more here.
Keywords: structure functions; machine; softness; machine learning ... See more keywords