SciPost Submission Page
Reweighting the quark Sivers function with STAR jet data
by Carlo Flore, Maria Elena Boglione, Umberto D'Alesio, Josè Osvaldo Gonzalez-Hernandez, Francesco Murgia, Alexei Prokudin
This Submission thread is now published as
Submission summary
| Authors (as registered SciPost users): | Carlo Flore |
| Submission information | |
|---|---|
| Preprint Link: | https://arxiv.org/abs/2107.13311v1 (pdf) |
| Date accepted: | 2022-03-01 |
| Date submitted: | 2021-07-29 09:38 |
| Submitted by: | Flore, Carlo |
| Submitted to: | SciPost Physics Proceedings |
| Proceedings issue: | 28th Annual Workshop on Deep-Inelastic Scattering (DIS) and Related Subjects (DIS2021) |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
|
| Approach: | Phenomenological |
Abstract
The Bayesian reweighting procedure is applied for the first time to a TMD distribution, the quark Sivers function extracted from SIDIS data. By exploiting the recent published single spin asymmetry data for the inclusive jet production in $p^\uparrow p$ collisions from the STAR collaboration at RHIC, we show how such a procedure allows to incorporate the information contained in the new data set, without the need of re-fitting, and to explore a much wider $x$ region compared to SIDIS measurements. The reweighting method is also extended to the case of asymmetric errors, and the results show a significant improvement on the knowledge of the quark Sivers function.
Published as SciPost Phys. Proc. 8, 034 (2022)