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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
JLAB Number: JLAB-THY-21-3305 OSTI Number: 1765535
LANL Number: arXiv:2101.03955 Other Number: DOE/OR/23177-5117
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)
1-s2.0-S0370269321000757-main.pdf (Accepted Manuscript)
DOI Link
Dataset(s) (none)
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