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.

Highlights

  • Single spin asymmetries (SSAs) in inclusive and semi-inclusive processes are an invaluable tool to deepen our knowledge of the internal structure of nucleons as well the hadronization mechanism

  • In the present analysis we applied, for the first time, a reweighting procedure to a Transverse Momentum Dependent distributions and fragmentation functions (TMDs) parton density, the quark Sivers distribution function extracted from SemiInclusive Deep Inelastic Scattering (SIDIS) data

  • By exploiting the recently published single spin asymmetry data for inclusive jet production in polarized pp collisions from STAR [33], we showed the feasibility of such a procedure, which represents a valuable alternative to a full global fit

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Summary

Introduction

Single spin asymmetries (SSAs) in inclusive and semi-inclusive processes are an invaluable tool to deepen our knowledge of the internal structure of nucleons as well the hadronization mechanism. In the evaluation of physical observables, one can still use the quark Sivers function obtained from SIDIS fits, but convoluted with modified partonic cross sections, such that the expected sign change from SIDIS to DY is restored This modified GPM formalism has a very close connection [29] with the collinear twist-3 approach. In the spirit of testing the compatibility of the extraction of the Sivers function, as obtained by best-fitting the SIDIS azimuthal asymmetries, we analyze the recent SSA data for inclusive jet production in pp collisions from the STAR Collaboration at RHIC [33], within the GPM and the CGI-GPM approaches.

The formalism
The reweighting method for TMDs
Results
Impact of jet data on the quark Sivers extraction
Conclusions and outlook

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