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Single spin asymmetries in charged kaon production from semi-inclusive deep inelastic scattering on a transversely polarized He3 target

Y. X. Zhao et al. (Jefferson Lab Hall A Collaboration)
Phys. Rev. C 90, 055201 – Published 3 November 2014

Abstract

We report the first measurement of target single spin asymmetries of charged kaons produced in semi-inclusive deep inelastic scattering of electrons off a transversely polarized He3 target. Both the Collins and Sivers moments, which are related to the nucleon transversity and Sivers distributions, respectively, are extracted over the kinematic range of 0.1<xbj<0.4 for K+ and K production. While the Collins and Sivers moments for K+ are consistent with zero within the experimental uncertainties, both moments for K favor negative values. The Sivers moments are compared to the theoretical prediction from a phenomenological fit to the world data. While the K+ Sivers moments are consistent with the prediction, the K results differ from the prediction at the 2-sigma level.

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  • Received 28 April 2014

DOI:https://doi.org/10.1103/PhysRevC.90.055201

©2014 American Physical Society

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Vol. 90, Iss. 5 — November 2014

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Images

  • Figure 1
    Figure 1

    He3(e,eh+)X coincidence timing spectrum after a cut on the aerogel detector to remove pions, where h represents detected hadron. The kaon selection cuts are shown as the two vertical lines. The top right subplot shows only K+ and π+ peaks in a relatively small CTOF range.

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  • Figure 2
    Figure 2

    Correlation between xbj and kinematics variables (Q2,Pt,z) for K+, where xbj=Q22P·q,Pt=Ph2(q·Ph|q|)2,z=P·PhP·q,P is the four-momentum of the initial nucleon, q is the four-momentum of the virtual photon, Ph is the four-momentum of the detected hadron.

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  • Figure 3
    Figure 3

    The extracted Collins and Sivers moments on He3 are shown together with their statistical errors and systematic error bands for both K+ and K electro-production. The Sivers moments are compared to theoretical predictions from a phenomenological fit to the world data.

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