collaborators

7 papers

hep-ph2026

Deep-neural-network extraction of unpolarized transverse-momentum-dependent parton distributions in space from Drell-Yan data

I. P. Fernando, D. Keller

We present a physics-informed deep-neural-network extraction of unpolarized transverse-momentum-dependent parton distribution functions (TMDPDFs) in impact-parameter space from Dre…

hep-ph2026

Evidence for Q-Dependent Nuclear Transverse-Momentum Redistribution Beyond Broadening from AI-driven analysis of p-Cu Drell-Yan

I. P. Fernando, D. Keller

We extract a target-side Cu transverse-momentum profile from fixed-target --Cu Drell--Yan data by holding a momentum-space proton reference fixed and training only an asymmetric…

physics.ins-det2026

Polarized Target Nuclear Magnetic Resonance Measurements with Deep Neural Networks

Devin Seay, Ishara P. Fernando, Dustin Keller

Continuous-wave Nuclear Magnetic Resonance (CW-NMR) operated in constant-current mode has served as a foundational technique for polarization measurement in solid-state dynamically…

nucl-ex2026

Long Range Outlook for Short-Range Correlations

Nadia Fomin, Or Hen, Julian Kahlbow +99

Short range correlated (SRC) N N pairs are pairs of nucleons with high relative momentum (prel > kF where kF ~ 250 MeV/c is the Fermi momentum in medium to heavy nuclei) and lower…

hep-ph2025

Differentiable Principal-Value Inversion for Neural-Network Extraction of Generalized Parton Distributions

Dima Watkins, Ishara Fernando, Dustin Keller

We present a machine-learning method for the nonparametric extraction of generalized parton distributions (GPDs) from Compton form factors (CFFs) constrained by experimental data.…

nucl-ex2025

Realizing the Scientific Program with Polarized Ion Beams at EIC

Grigor Atoian, Nigel Buttimore, Giuseppe Ciullo +67

Polarized ion beams at the Electron Ion Collider are essential to address some of the most important open questions at the twenty-first century frontiers of understanding of the fu…

hep-ph2025

Spin 1 Transverse Momentum Dependent Tensor Structure Functions in CLAS12

Jiwan Poudel, Alessandro Bacchetta, Jian-Ping Chen +6

We propose to analyze CLAS12 RG-C data to study the tensor transverse-momentum-dependent parton distribution functions (TMDs) on deuteron data. The deuteron is the lightest nucleus…