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.

New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering

Boglione, M.
;
2022-01-01

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.
2022
2022
4
1
30
https://link.springer.com/article/10.1007/JHEP04(2022)084
Specific QCD Phenomenology; Deep Inelastic Scattering or Small-X Physics
Boglione, M.; Diefenthaler, M.; Dolan, S.; Gamberg, L.; Melnitchouk, W.; Pitonyak, D.; Prokudin, A.; Sato, N.; Scalyer, Z.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1856135
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