Search for the chiral magnetic wave using anisotropic flow of identified particles at RHIC

Abstract

The chiral magnetic wave (CMW) has been theorized to propagate in the deconfined nuclear medium formed in high-energy heavy-ion collisions, and to cause a difference in elliptic flow ($v_2$) between negatively and positively charged hadrons. Experimental data consistent with the CMW have been reported by the STAR Collaboration at the Relativistic Heavy Ion Collider (RHIC), based on the charge asymmetry dependence of the pion $v_2$ from Au+Au collisions at $\sqrt{s_{\mathrm{NN}}}$ = 27 to 200 GeV. In this comprehensive study, we present the STAR measurements of elliptic flow and triangular flow of charged pions, along with the $v_2$ of charged kaons and protons, as a function of charge asymmetry in Au+Au collisions at $\sqrt{s_{\mathrm{NN}}}$ = 27, 39, 62.4 and 200 GeV. The slope parameters extracted from the linear dependence of the $v_2$ difference on charge asymmetry for different particle species are reported and compared in different centrality intervals. In addition, the slopes of $v_2$ for charged pions in small systems, \textit{i.e.}, $p$+Au and $d$+Au at $\sqrt{s_{\mathrm{NN}}}$ = 200 GeV, are also presented and compared with those in large systems, \textit{i.e.}, Au+Au at $\sqrt{s_{\mathrm{NN}}}$ = 200 GeV and U+U at 193 GeV. Our results provide new insights for the possible existence of the CMW, and further constrain the background contributions in heavy-ion collisions at RHIC energies.

arXiv comment10 pages, 10 figures

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• Chiral Magnetic Effect in Heavy Ion Collisions: The Present and Future
• Evolution of chirality in a multiphoton pair production process
• The mass and spectral function of scalar and pseudoscalar mesons in a hot and chirally imbalanced medium using the two-flavor NJL model
• Experimental review on the chiral magnetic effect in relativistic heavy ion collisions
• Effect of chiral imbalance on the electrical conductivity of hot and dense quark matter using Green-Kubo Method within the 2-flavour gauged NJL model
• Applying Deep Learning Technique to Chiral Magnetic Wave Search