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First measurement of the Sivers asymmetry for gluons using SIDIS data
Univ Erlangen Nurnberg, Phys Inst, D-91054 Erlangen, Germany..
INFN, Trieste Sect, I-34127 Trieste, Italy..
Joint Inst Nucl Res, Dubna 141980, Moscow Region, Russia..
Univ Turin, Dept Phys, I-10125 Turin, Italy..
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2017 (English)In: Physics Letters B, ISSN 0370-2693, E-ISSN 1873-2445, Vol. 772, p. 854-864Article in journal (Refereed) Published
Abstract [en]

The Sivers function describes the correlation between the transverse spin of a nucleon and the transverse motion of its partons. For quarks, it was studied in previous measurements of the azimuthal asymmetry of hadrons produced in semi-inclusive deep inelastic scattering of leptons off transversely polarised nucleon targets, and it was found to be non-zero. In this letter the evaluation of the Sivers asymmetry for gluons is presented. The contribution of the photon-gluon fusion subprocess is enhanced by requiring two high transverse-momentum hadrons. The analysis method is based on a Monte Carlo simulation that includes three hard processes: photon-gluon fusion, QCD Compton scattering and the leading-order virtual-photon absorption process. The Sivers asymmetries of the three processes are simultaneously extracted using the LEPTO event generator and a neural network approach. The method is applied to samples of events containing at least two hadrons with large transverse momentum from the COMPASS data taken with a 160 GeV/c muon beam scattered off transversely polarised deuterons and protons. With a significance of about two standard deviations, a negative value is obtained for the gluon Sivers asymmetry. The result of a similar analysis for a Collins-like asymmetry for gluons is consistent with zero. (C) 2017 The Author(s). Published by Elsevier B.V.

Place, publisher, year, edition, pages
2017. Vol. 772, p. 854-864
Keywords [en]
Deep inelastic scattering, Gluon, Sivers, TMD, PDF
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-340105DOI: 10.1016/j.physletb.2017.07.018ISI: 000411369700120OAI: oai:DiVA.org:uu-340105DiVA, id: diva2:1180284
Available from: 2018-02-05 Created: 2018-02-05 Last updated: 2018-02-05Bibliographically approved

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