| Issue |
EPJ Web Conf.
Volume 259, 2022
The 19th International Conference of Strangeness in Quark Matter (SQM 2021)
|
|
|---|---|---|
| Article Number | 13004 | |
| Number of page(s) | 4 | |
| Section | Open and New (Parallel) | |
| DOI | https://doi.org/10.1051/epjconf/202225913004 | |
| Published online | 01 February 2022 | |
https://doi.org/10.1051/epjconf/202225913004
Shear-induced spin polarization and “strange memory” in heavy-ion collisions
1 Quark Matter Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
2 Department of Physics & State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
3 Collaborative Innovation Center of Quantum Matter, Beijing 100871, China
4 Key Laboratory of Quark & Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, Wuhan 430079, China
* e-mail: lshphy@gmail.com
Published online: 1 February 2022
We discuss the theory of the spin polarizations induced by hydrodynamic gradients, which includes a newly discovered shear-induced polarization (SIP) term. In the phenomenological study using a hydrodynamic model, we discover that the local polarization contributed by SIP is substantial and has the “same sign” as the experimental measurements. Also, we find that the “sign” property of the local polarization observed in experiments seems to be related to “memory” effects on the polarizations of strange quarks in quark-gluon plasma.
© The Authors, published by EDP Sciences, 2022
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.