4 papers · 1 filter
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…
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…
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.…
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…