4.7 Article

Transverse spin transfer to Λ and (Λ)over-bar hyperons in polarized proton-proton collisions at √s=200 GeV

Journal

PHYSICAL REVIEW D
Volume 98, Issue 9, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.98.091103

Keywords

-

Funding

  1. RHIC Operations Group
  2. RCF at BNL
  3. NERSC Center at LBNL
  4. Open Science Grid consortium
  5. Office of Nuclear Physics within the U.S. DOE Office of Science
  6. U.S. National Science Foundation
  7. Ministry of Education and Science of the Russian Federation
  8. Natural Science Foundation of China
  9. Chinese Academy of Science
  10. Ministry of Science and Technology of China
  11. Major State Basic Research Development Program in China [2014CB845406]
  12. Chinese Ministry of Education
  13. National Research Foundation of Korea
  14. Czech Science Foundation
  15. Ministry of Education, Youth and Sports of the Czech Republic
  16. Department of Atomic Energy
  17. Department of Science and Technology of the Government of India
  18. National Science Centre of Poland
  19. Ministry of Science, Education and Sports of the Republic of Croatia
  20. RosAtom of Russia
  21. German Bundesministerium fur Bildung, Wissenschaft, Forschung and Technologie (BMBF)
  22. Helmholtz Association

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The transverse spin transfer from polarized protons to Lambda and (Lambda) over bar hyperons is expected to provide sensitivity to the transversity distribution of the nucleon and to the transversely polarized fragmentation functions. We report the first measurement of the transverse spin transfer to Lambda and (Lambda) over bar along the polarization direction of the fragmenting quark, D-TT, in transversely polarized proton-proton collisions at root s = 200 GeV with the STAR detector at RHIC. The data correspond to an integrated luminosity of 18 pb(-1) and cover the pseudorapidity range vertical bar eta vertical bar < 1.2 and transverse momenta p(T) up to 8 GeV/c. The dependence on p(T) and eta are presented. The D-TT results are found to be comparable with a model prediction and are also consistent with zero within uncertainties.

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