STI Publications - View Publication Form #16453
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Publication Information
Title | Reweighting the Sivers function with jet data from STAR | ||||
Abstract | The reweighting procedure that using Bayesian statistics incorporates the information contained in a new data set, without the need of re-fitting, is applied to the quark Sivers function extracted from Semi-Inclusive Deep Inelastic Scattering (SIDIS) data. We exploit the recently published single spin asymmetry data for the inclusive jet production in polarized $pp$ collisions from the STAR Collaboration at RHIC, which cover a much wider $x$ region compared to SIDIS measurements. The reweighting method is extended to the case of asymmetric errors and the results show a remarkable improvement of the knowledge of the quark Sivers function. | ||||
Author(s) | Alexei Prokudin, C. Flore, Mariaelena Boglione, Umberto D'Alesio, Francesco Murgia, J. Osvaldo Gonzalez-Hernandez | ||||
Publication Date | February 2021 | ||||
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 | Physics Letters B |
Refereed | Yes |
Volume | in press |
Issue | |
Page(s) | 136135 |
Attachments/Datasets/DOI Link
Document(s) |
SIDIS_jet_Sivers_reweighting.pdf
(STI Document)
1-s2.0-S0370269321000757-main.pdf
(Accepted Manuscript)
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DOI Link | |
Dataset(s) | (none) |
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