77 citations · 251 across the 13 of their papers we have counts for
10 papers · 1 filter
Precision QCD with the Electron-Ion Collider
C. Alexandrou, M. Arratia, E. C. Aschenauer +66
This document summarizes the discussions at the program "Precision QCD with the Electron Ion Collider", held from May to June 2025 at the Institute for Nuclear Theory (INT) at the…
VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions
Manal Almaeen, Tareq Alghamdi, Brandon Kriesten +4
We develop a new methodology for extracting Compton form factors (CFFs) in from deeply virtual exclusive reactions such as the unpolarized DVCS cross section using a specialized in…
The case for an EIC Theory Alliance: Theoretical Challenges of the EIC
Raktim Abir, Igor Akushevich, Tolga Altinoluk +167
We outline the physics opportunities provided by the Electron Ion Collider (EIC). These include the study of the parton structure of the nucleon and nuclei, the onset of gluon satu…
Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering
Manal Almaeen, Jake Grigsby, Joshua Hoskins +4
We develop a framework to establish benchmarks for machine learning and deep neural networks analyses of exclusive scattering cross sections (FemtoNet). Within this framework we pr…
Twist-three cross-sections in deeply virtual Compton scattering
Yuxun Guo, Xiangdong Ji, Brandon Kriesten +1
We study the deeply virtual Compton scattering process with both twist-two and twist-three Compton form factors and present our cross-sections formulas with all polarization config…
Parametrization of Quark and Gluon Generalized Parton Distributions in a Dynamical Framework
Brandon Kriesten, Philip Velie, Emma Yeats +2
We present a parametrization of the chiral even generalized parton distributions, , , , , for the quark, antiquark and gluon, in the perturbativ…
Deep Learning Analysis of Deeply Virtual Exclusive Photoproduction
Jake Grigsby, Brandon Kriesten, Joshua Hoskins +3
We present a Machine Learning based approach to the cross section and asymmetries for deeply virtual Compton scattering from an unpolarized proton target using both an unpolarized…
Novel Rosenbluth Extraction Framework for Compton Form Factors from Deeply Virtual Exclusive Experiments
Brandon Kriesten, Simonetta Liuti
We use a generalization of the Rosenbluth separation method for a model independent simultaneous extraction of the Compton Form Factors and , from virtual Comp…
Theory of Deeply Virtual Compton Scattering off the Unpolarized Proton
Brandon Kriesten, Simonetta Liuti
Using the helicity amplitudes formalism, we study deeply virtual exclusive electron photo-production off an unpolarized nucleon target, , through a range of…
Extraction of Generalized Parton Distribution Observables from Deeply Virtual Electron Proton Scattering Experiments
Brandon Kriesten, Simonetta Liuti, Liliet Calero-Diaz +4
We provide the general expression of the cross section for exclusive deeply virtual photon electroproduction from a spin 1/2 target using current parameterizations of the off-forwa…