Few-Body Systems

, 59:63 | Cite as

Evaluating Polarization Data

  • D. G. Ireland
Open Access
Part of the following topical collections:
  1. NSTAR 2017


A method is presented, which ensures that different polarization observables describing one reaction channel are consistent with each other. Using the connection of the observables to the same underlying reaction amplitudes, a constrained estimate of the observables is carried out using a Markov Chain Monte Carlo method. Initial results indicate that the new estimates are guaranteed to be physical, and will remove the need for artificial fudge factors when these processed data are used in subsequent fits.



This work was funded by support from the United Kingdom’s Science and Technology Facilities Council under grant number ST/L005719/1.


  1. 1.
    X. Artru, M. Elchikh, J.M. Richard, J. Soffer, O.V. Teryaev, Spin observables and spin structure functions: Inequalities and dynamics. Phys. Rep. 470(1–2), 1–92 (2009)MathSciNetCrossRefADSGoogle Scholar
  2. 2.
    M.E. McCracken et al., Differential cross section and recoil polarization measurements for the \(\gamma p \rightarrow K^+ \varLambda \) reaction using CLAS at Jefferson Lab. Phys. Rev. C 81(2), 025,201 (2010)CrossRefGoogle Scholar
  3. 3.
    C.A. Paterson et al., Photoproduction of \(\varLambda \) and \(\varSigma ^0\) hyperons using linearly polarized photons. Phys. Rev. C 93(6), 065201 (2016)CrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.SUPA, School of Physics and AstronomyUniversity of GlasgowGlasgowUnited Kingdom

Personalised recommendations