activity
19962023
most citedQCD Factorization for Semi-Inclusive Deep-Inelastic Scattering at Low Transverse Momentum

610 citations · 11.2k across the 173 of their papers we have counts for

collaborators

173 papers

hep-ph2023★ 2 cited

Illuminating Nucleon Gluon Interference via Calorimetric Asymmetry

Xiao Lin Li, Xiaohui Liu, Feng Yuan +1

We present an innovative approach to the linearly polarized gluons confined inside the unpolarized nucleon in lepton-nucleon scattering. Our method analyzes the correlation of ener…

hep-ph2023★ 2 cited

Proton's gluon GPDs at large skewness and gravitational form factors from near threshold heavy quarkonium photo-production

Yuxun Guo, Xiangdong Ji, Feng Yuan

We study the exclusive near-threshold photo-production of heavy quarkonium in the framework of the generalized parton distribution (GPD) factorization, taking the production…

hep-ph2023★ 30 cited

Transverse momentum dependent shape function for production in SIDIS

Daniël Boer, Jelle Bor, Luca Maxia +2

It has been shown previously that the transverse momentum dependent (TMD) factorization of heavy quarkonium production requires a TMD shape function. Its perturbative tail can be e…

hep-ph2023★ 56 cited

Nucleon Energy Correlators for the Color Glass Condensate

Hao-Yu Liu, Xiaohui Liu, Ji-Chen Pan +2

We demonstrate the recently proposed nucleon energy-energy correlator (nucleon EEC) can unveil the gluon saturation in the small- regime in collisions. T…

hep-ph2022★ 211 cited

50 Years of Quantum Chromodynamics

Franz Gross, Eberhard Klempt, Stanley J. Brodsky +92

This paper presents a comprehensive review of both the theory and experimental successes of Quantum Chromodynamics, starting with its emergence as a well defined theory in 1972-73…

hep-ph2022★ 26 cited

Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics

Kyle Lee, James Mulligan, Mateusz Płoskoń +2

We explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). We study the effectiveness of machine learning-based classifiers at relati…