12 citations · 14 across the 7 of their papers we have counts for
8 papers
TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging
Marco Zaccheddu, Leonard Gamberg, Wally Melnitchouk +4
This work introduces a novel, nonparametric pixel-based framework for the Bayesian inference and imaging of transverse momentum dependent (TMD) parton distributions. The methodolog…
New framework for extracting GPDs from exclusive photon electroproduction
Jian-Wei Qiu, Nobuo Sato, Zhite Yu
Recently, a new framework for studying generic hard exclusive reactions, referred to as single-diffractive hard exclusive processes, has been introduced to provide a clea…
Toward an event-level analysis of hadron structure using differential programming
Kevin Braga, Markus Diefenthaler, Steven Goldenberg +7
Reconstructing the internal properties of hadrons in terms of fundamental quark and gluon degrees of freedom is a central goal in nuclear and particle physics. This effort lies at…
Overview on the theory and phenomenology of generalized parton distributions
Jian-Wei Qiu, Zhite Yu
We give a brief overview on the theory and phenomenology of generalized parton distributions (GPDs), including the recently developed framework of single-diffractive hard exclusive…
Unified and optimal frame choice for generalized parton distributions
Jian-Wei Qiu, Nobuo Sato, Zhite Yu
Reconstructing the internal three-dimensional quark and gluon structures of hadrons through generalized parton distributions (GPDs) from hard exclusive scattering processes is one…
New physical processes for extracting GPDs with a better sensitivity to partonic structure
Jian-Wei Qiu, Zhite Yu
We introduce a new type of exclusive processes for a better study of generalized parton distributions (GPDs), which we refer to as single-diffractive hard exclusive processes (SDHE…
Extracting transition generalized parton distributions from hard exclusive pion-nucleon scattering
Jian-Wei Qiu, Zhite Yu
We study the extraction of transition generalized parton distributions (GPDs) from production of two back-to-back high transverse momentum photons () and a massive pair of lept…
Diffusion model approach to simulating electron-proton scattering events
Peter Devlin, Jian-Wei Qiu, Felix Ringer +1
Generative AI is a fast-growing area of research offering various avenues for exploration in high-energy nuclear physics. In this work, we explore the use of generative models for…