Issue |
EPJ Web Conf.
Volume 171, 2018
17th International Conference on Strangeness in Quark Matter (SQM 2017)
|
|
---|---|---|
Article Number | 13008 | |
Number of page(s) | 4 | |
Section | Strangeness Production at Low Baryon Densities (parallel session) | |
DOI | https://doi.org/10.1051/epjconf/201817113008 | |
Published online | 02 February 2018 |
https://doi.org/10.1051/epjconf/201817113008
Strange hadron production in pp, pPb, and PbPb collisions at LHC energies
Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States
* e-mail: hong.ni@vanderbilt.edu
Published online: 2 February 2018
Identified particle spectra provide an important tool for understanding the particle production mechanism and the dynamical evolution of the medium created in relativistic heavy ion collisions. Studies involving strange and multi-strange hadrons, such as K0S, Λ, and Ξ−, carry additional information since there is no net strangeness content in the initial colliding system. Strangeness enhancement in AA collisions with respect to pp and pA collisions has long been considered as one of the signatures for quark-gluon plasma (QGP) formation. Recent observations of collective effects in high-multiplicity pp and pA collisions raise the question of whether QGP can also be formed in the smaller systems. Systematic studies of strange particle abundance, particle ratios, and nuclear modification factors can shed light on this issue. The CMS experiment has excellent strange-particle reconstruction capabilities over a broad kinematic range, and dedicated high-multiplicity triggers in pp and pPb collisions. The spectra of K0S, Λ, and Ξ− hadrons have been measured in various multiplicity and rapidity regions as a function of pT in pp, pPb, and PbPb collisions for several collision energies. The spectral shapes and particle ratios are compared in the different collision systems for events that have the same multiplicity and interpreted in the context of hydrodynamics models.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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