257 citations · 2.6k across the 130 of their papers we have counts for
115 papers · 1 filter
Likelihood \& Correlation Analysis of Electroproduction for Proton Tensor Charge Extraction
Saraswati Pandey, Douglas Q. Adams, Simonetta Liuti +3
We present a likelihood analysis of observables in deeply virtual exclusive electro-production off the proton. We use experimental data for the cross section as well as the b…
Generalized Parton Distributions: Phenomenology, Extraction, and Hadron Imaging
Simonetta Liuti, Zaki Panjsheeri, Kemal Tezgin
Generalized Parton Distributions (GPDs) provide a framework for investigating the correlated momentum and spatial structure of quarks and gluons in hadrons and for accessing fundam…
Neural Network Generalized Parton Distributions (NNGPD)
Zaki Panjsheeri, Simonetta Liuti
Generalized parton distributions (GPDs) serve as indispensable tools for the exploration of proton structure. In this study, we offer a deep learning-assisted framework for the ext…
Neural Network Representation of Generalized Parton Distributions (NNGPD)
Jitao Xu, Ho Jang, Zaki Panjsheeri +10
We present a neural-network-based framework for modeling generalized parton distributions, referred to as NNGPD, in which GPDs are represented as flexible functions constrained thr…
Markov chain Monte Carlo (MCMC) based Likelihood Extraction of Chiral-Odd Compton Form Factors from Deeply Virtual Exclusive Experiments
Saraswati Pandey, Douglas Q. Adams, Simonetta Liuti
We present a likelihood analysis of observables in deeply virtual exclusive meson production off the proton. The study uses experimental data for cross sections together with beam…
Connected and disconnected contributions to nucleon form factors and parton distributions
Zaki Panjsheeri, Saraswati Pandey, Brannon Semp +1
Using the framework of generalized parton distribution, we provide a unified interpretation of the connected and disconnected contributions from the ab-initio Euclidean path-integr…
Updated flexible global parametrization of generalized parton distributions from elastic and deep inelastic inclusive scattering data
Zaki Panjsheeri, Douglas Q. Adams, Adil Khawaja +3
An updated flexible parametrization of the generalized parton distributions in the quark, antiquark and gluon sectors is presented using constraints from high precision electron nu…
Generalized Parton Distributions from Symbolic Regression
Andrew Dotson, Zaki Panjsheeri, Anusha Reddy Singireddy +11
AI/ML informed Symbolic Regression is the next stage of scientific modeling. We utilize a highly customizable symbolic regression package ``PySR" to model the and dependenc…
Transverse Orbital Angular Momentum in the Proton
Osamah Alkasassbeh, Abha Rajan, Michael Engelhardt +1
Using the equations of motion of QCD and Lorentz invariance relations, we show a new, more direct way of obtaining the decomposition of the proton's quark transverse angular moment…
Likelihood and Correlation Analysis of Compton Form Factors for Deeply Virtual Exclusive Scattering on the Nucleon
Douglas Q. Adams, Joshua Bautista, Marija Cuic +11
A likelihood analysis of the observables in deeply virtual exclusive photoproduction off a proton target, , is presented. Two processes contribute to the r…
Variational autoencoder inverse mapper for extraction of Compton form factors: Benchmarks and conditional learning
Fayaz Hossen, Douglas Adams, Joshua Bautista +8
Deeply virtual exclusive scattering processes (DVES) serve as precise probes of nucleon quark and gluon distributions in coordinate space. These distributions are derived from gene…
AI for Nuclear Physics: the EXCLAIM project
Simonetta Liuti, Douglas Adams, Marie Boër +8
In overview of the recent activity of the newly funded EXCLusives with AI and Machine learning (EXCLAIM) collaboration is presented. The main goal of the collaboration is to develo…
Extraction of Information from Polarized Deep Exclusive Scattering with Machine Learning
Simonetta Liuti
A framework defining benchmarks for the analysis of polarized exclusive scattering cross sections is proposed that uses physics symmetry constraints as well as lattice QCD predicti…
The Correlated Spatial Structure of the Proton: Two-body densities as a framework for dynamical imaging
Zaki Panjsheeri, Joshua Bautista, Simonetta Liuti
We present results on two-parton densities in coordinate space, which capture a fuller dynamical picture of the proton's internal structure, including information on the relative p…
Exploring Baryon Resonances with Transition Generalized Parton Distributions: Status and Perspectives
Stefan Diehl, Kyungseon Joo, Kirill Semenov-Tian-Shansky +21
QCD gives rise to a rich spectrum of excited baryon states. Understanding their internal structure is important for many areas of nuclear physics, such as nuclear forces, dense mat…
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…
The Present and Future of QCD
P. Achenbach, D. Adhikari, A. Afanasev +400
This White Paper presents the community inputs and scientific conclusions from the Hot and Cold QCD Town Meeting that took place September 23-25, 2022 at MIT, as part of the Nuclea…
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…
Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics
R. Abdul Khalek, U. D'Alesio, M. Arratia +105
Electron Ion Collider (EIC) is a particle accelerator facility planned for construction at Brookhaven National Laboratory on Long Island, New York by the United States Department o…
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…
Diquark Correlations in Hadron Physics: Origin, Impact and Evidence
M. Yu. Barabanov, M. A. Bedolla, W. K. Brooks +24
The last decade has seen a marked shift in how the internal structure of hadrons is understood. Modern experimental facilities, new theoretical techniques for the continuum bound-s…