3 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
A Core Representation Theorem for Scheme-Invariant Collinear Factorization in QCD
Dustin Keller
Collinear factorization and the leading-twist operator product expansion (OPE) in perturbative QCD express suitably inclusive observables in scale-separated kinematics as composite…
hep-ph2026
Toward selective quantum advantage in hadronic tomography:explicit cases from Compton form factors, GPDs, TMDs, and GTMDs
I. P. Fernando, D. Keller
We recast the case for quantum advantage in hadronic physics as an observable-by-observable question rather than a blanket claim about Quantum Chromo-Dynamics (QCD). Focusing on ha…