Reweighting the quark Sivers function with STAR jet data

13 Apr 2021, 12:58
18m
Virtual (Stony Brook, NY)

Virtual

Stony Brook, NY

Online
Contributed Talk Spin Physics Spin Physics

Speaker

Carlo Flore (IJCLab Orsay)

Description

The Bayesian reweighting procedure is applied for the first time to a transverse momentum dependent distribution, the quark Sivers function extracted from Semi-Inclusive DIS (SIDIS) data. By exploting 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 of the knowledge of the quark Sivers function.

Primary authors

Carlo Flore (IJCLab Orsay) Mariaelena Boglione (University of Turin) Umberto D'Alesio (INFN and University of Cagliari) Dr J. Osvaldo Gonzalez Hernandez (Torino University and INFN, Torino) Francesco Murgia (INFN Cagliari) Alexei Prokudin (Penn State Berks)

Presentation materials