Year: 2022
Type: preprint
Abstract: We introduce a new phenomenological tool based on momentum region indicators to guide the analysis and interpretation of semi-inclusive deep-inelastic scattering measurements. The new tool, referred to as "affinity", is devised to help visualize and quantify the proximity of any experimental kinematic bin to a particular hadron production region, such as that associated with transverse momentum dependent factorization. We apply the affinity estimator to existing HERMES and COMPASS data and expected data from Jefferson Lab and the future Electron-Ion Collider. We also provide an interactive notebook based on Machine Learning for fast evaluation of affinity.
Source: arXiv (Cornell University)
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Awards: G1728142190, G1848180026, G222768804, G2263355576, G2520969966, G2702141073, G2988778103, G3111662533, The strong interaction at the frontier of knowledge: fundamental research and applications, RUI: The Three-Dimensional Momentum and Spin Structure of the Nucleon in QCD, G6427981414, G6674091005, TRANSVERSITY AND TRANSVERSE SPIN CORRELATIONS OF QUARKS AND HADRONS IN QCD, G7520763071, RUI: Hadronic Structure from Spin Observables in pQCD, TRANSVERSITY AND TRANSVERSE SPIN CORRELATIONS OF QUARKS AND HADRONS IN QCD, G8462202600
OpenAlex ID: W4286692869
