STI Publications - View Publication Form #16913
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Publication Information
Title | New tool for kinematic regime estimation in semi-inclus | ||||
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. | ||||
Author(s) | Mariaelena Boglione, Markus Diefenthaler, Scott Dolan, Leonard Gamberg, Wally Melnitchouk, Daniel Pitonyak, Alexei Prokudin, Nobuo Sato, Zachary Scalyer | ||||
Publication Date | April 2022 | ||||
Document Type | Journal Article | ||||
Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
Affiliation | Theory & Comp Physics / THEORY CENTER / THEORY CENTER | ||||
Funding Source | Nuclear Physics (NP), NSF | ||||
Proprietary? | No | ||||
This publication conveys | Technical Science Results | ||||
Document Numbers |
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Associated with an experiment | No | ||||
Associated with EIC | No | ||||
Supported by Jefferson Lab LDRD Funding | No |
Journal Article
Journal Name | Journal of High Energy Physics |
Refereed | No |
Volume | 04 (2022) |
Issue | |
Page(s) | 084 |
Attachments/Datasets/DOI Link
Document(s) |
sidis_regions_II.pdf
(STI Document)
JHEP04(2022)084.pdf
(Accepted Manuscript)
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DOI Link | |
Dataset(s) | (none) |
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