10 papers
The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation
Ian Magnusson, Noah A. Smith, Pang Wei Koh
The scaling relationship of compute and performance for language models (LMs) has been extensively studied; more recently, models are being designed to scale memory use, as well. I…
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…
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…
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…
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…