257 citations · 2.6k across the 130 of their papers we have counts for
138 papers
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…