中文
相关论文

相关论文: Double DVCS amplitudes including kinematic twist-3…

200 篇论文

Generalized parton distribution (GPD) contains rich information of partons in a hadron, including transverse profile, and is also non-perturbative information necessary in describing a variety of hard processes, such as meson…

高能物理 - 唯象学 · 物理学 2015-05-28 Ryoichi Nishio , Taizan Watari

The generalized parton distributions (GPDs) have emerged as a universal tool to describe hadrons in terms of their elementary constituents, the quarks and the gluons. Deeply virtual Compton scattering (DVCS) on a proton or neutron ($N$), $e…

核实验 · 物理学 2015-10-16 Angela Biselli

Generalized Parton Distributions (GPDs) are multidimensional structure functions of hadrons, encoding mechanical and spin properties through the correlation of the momentum and transverse position of partons. While channels like Deeply…

高能物理 - 唯象学 · 物理学 2025-09-16 J. S. Alvarado , M. Hoballah , E. Voutier

Generalized parton distributions (GPDs) have been investigated in the deeply virtual Compton scattering (DVCS) to solve the proton spin puzzle. On the other hand, the generalized distribution amplitudes (GDAs) can be studied in the…

高能物理 - 唯象学 · 物理学 2018-08-21 Qin-Tao Song

Generalized Parton Distributions (GPDs) have emerged over the 1990s as a powerful concept and tool to study nucleon structure. They provide nucleon tomography from the correlation between transverse position and longitudinal momentum of…

高能物理 - 唯象学 · 物理学 2021-02-03 Shengying Zhao , Eric Voutier

Generalized parton distributions (GPDs) are 3-dimensional (3D) structure functions for hadrons, and they are important for solving the proton spin puzzle including partonic orbital-angular-momentum contributions. The $s$-$t$ crossed…

高能物理 - 唯象学 · 物理学 2019-02-13 S. Kumano , Qin-Tao Song , O. V. Teryaev

We review the phenomenological framework for accessing Generalized Parton Distributions (GPDs) using measurements of Deeply Virtual Compton Scattering (DVCS) from a proton target. We describe various GPD models and fitting procedures,…

高能物理 - 唯象学 · 物理学 2016-07-20 K. Kumericki , S. Liuti , H. Moutarde

Generalized Parton Distributions (GPDs) are multidimensonal structure functions that encode the information about the internal structure of hadrons. Using privileged channels such as Deeply Virtual Compton Scattering (DVCS) or Timelike…

核实验 · 物理学 2024-12-05 J. S. Alvarado , M. Hoballah , E. Voutier

The Generalized Parton Distributions (GPD) have drawn a lot of interest from the theoretical community since 1997, but also from the experimental community and especially at Jefferson Lab. First, the results for Deeply Virtual Compton…

高能物理 - 实验 · 物理学 2017-08-23 F. Sabatie

We consider deeply virtual Compton scattering (DVCS) on a photon target, in the generalized Bjorken limit, at the Born order and in the leading logarithmic approximation. This leads us to the extraction of the photon anomalous generalized…

高能物理 - 唯象学 · 物理学 2008-12-18 S. Friot , B. Pire , L. Szymanowski

The Generalized Parton Distributions (GPDs) constitute an appropriate framework for a universal description of the partonic structure of the nucleon. Double Deeply Virtual Compton Scattering (DDVCS) process provides the only experimental…

高能物理 - 唯象学 · 物理学 2019-12-16 Shengying Zhao

Double deeply virtual Compton scattering (DDVCS) is the process where an electron scatters off a nucleon and produces a lepton pair. The main advantage of this process in contrast with deeply virtual and timelike Compton scatterings (DVCS…

高能物理 - 唯象学 · 物理学 2023-04-11 K. Deja , V. Martinez-Fernandez , B. Pire , P. Sznajder , J. Wagner

Generalized parton distributions (GPDs) are three-dimensional structure functions of hadrons, and they can reveal the orbital-angular-momentum contributions to the nucleon spin. Therefore, GPDs are important for solving the proton spin…

高能物理 - 唯象学 · 物理学 2020-01-08 Qin-Tao Song

Spin and transverse momentum dependent parton distributions - Generalized Parton Distributions (GPDs) - are at the interface between the QCD structure of the hadrons and observable quantities. The GPDs are linear superpositions within…

高能物理 - 唯象学 · 物理学 2015-10-27 Gary R. Goldstein , Simonetta Liuti

We discuss a consistent treatment of the light-front gauge-boson and meson wave functions in the analyses of the generalized parton distributions(GPDs) and the scattering amplitudes in deeply virtual Compton scattering(DVCS) for the pion.…

高能物理 - 唯象学 · 物理学 2009-11-07 Ho-Meoyng Choi , Chueng-Ryong Ji , L. S. Kisslinger

The analysis of deeply virtual meson production is extended to neutrino-production of the pseudo-Goldstone mesons (pions, kaons, eta-mesons) on nucleons, with the flavor content of the recoil baryon either preserved, or changed to a hyperon…

高能物理 - 唯象学 · 物理学 2013-07-02 B. Z. Kopeliovich , Ivan Schmidt , Marat Siddikov

The sub-leading power of the scattering amplitude for deeply-virtual Compton scattering (DVCS) off the nucleon contains leading-twist and twist-3 generalized parton distributions (GPDs). We point out that in DVCS, at twist-3 accuracy, one…

高能物理 - 唯象学 · 物理学 2018-08-01 Fatma Aslan , Matthias Burkardt , Cédric Lorcé , Andreas Metz , Barbara Pasquini

Double Deeply Virtual Compton Scattering (DDVCS) is a promising channel for Generalized Parton Distribution (GPD) studies as it is a generalization of the Deeply Virtual Compton Scattering (DVCS) and Timelike Compton Scattering (TCS)…

高能物理 - 唯象学 · 物理学 2025-02-05 J. S. Alvarado , M. Hoballah , E. Voutier

Hadron-to-two-hadron transition generalized parton distributions (GPDs) extend the concept of hadron-to-resonance transition GPDs and provide a unified description of non-diagonal hard exclusive reactions in the generalized Bjorken limit.…

高能物理 - 唯象学 · 物理学 2025-02-05 Sangyeong Son , Kirill M. Semenov-Tian-Shansky

Double Deeply Virtual Compton Scattering (DDVCS) is the only experimental channel for the determination of the dependence of the Generalized Parton Distributions (GPDs) on both the average and the transferred momentum independently. The…

核实验 · 物理学 2021-12-20 S. Zhao , A. Camsonne , D. Marchand , M. Mazouz , N. Sparveris , S. Stepanyan , E. Voutier , Z. W. Zhao
‹ 上一页 1 2 3 10 下一页 ›