| Article | |
| Title | Measurements of net-charge fluctuations across various colliding systems with ALICE |
| Author(s) | Khan, Shaista (Aligarh Muslim U.) |
| Publication | 2022 |
| Number of pages | 7 |
| In: | PoS EPS-HEP2021 (2022) 319 |
| In: | European Physics Society conference on High Energy Physics 2021, Online, Online, 26 - 30 Jul 2021, pp.319 |
| DOI | 10.22323/1.398.0319 |
| Subject category | Nuclear Physics - Experiment ; Particle Physics - Experiment |
| Accelerator/Facility, Experiment | CERN LHC ; ALICE |
| Abstract | Event-by-event fluctuations of conserved quantities such as electric charge, baryon number, and strangeness in ultrarelativistic heavy-ion collisions provide insight into the properties of the quark-gluon plasma and the QCD phase diagram. The net-charge fluctuations in finite phase space are usually studied using the $\nu_{dyn}[+,-]$ observable, which is robust against the detection efficiency losses. This observable becomes equivalent to the strongly intensive quantity $\Sigma$ with the proper scaling. In this analysis, the values of $\nu_{dyn}[+,-]$ are obtained with ALICE detector in various colliding systems, namely, pp at $\sqrt{s}$=5.02 TeV, p-Pb at $\sqrt{s_{\rm NN}}$=5.02 TeV, and Pb-Pb at $\sqrt{s_{\rm NN}}$=2.76 and 5.02 TeV, and Xe-Xe at $\sqrt{s_{\rm NN}}$=5.44 TeV. The observed dependence of $\nu_{dyn}[+,-]$ on charged-particle density shows a regular smooth evolution of net-charge fluctuation from smaller to larger collision systems. Furthermore, the observed negative values of $\nu_{dyn}[+,-]$ indicate the dominance of correlation between the oppositely charged particle pairs as compared to that arising from the like-sign charge pairs. These findings are compared to predictions from HIJING, EPOS-LHC, and PYTHIA8 models. The effect of the kinematical acceptance has also been investigated by examining the $\nu_{dyn}[+,-]$ dependence on transverse momentum range as well as the width of the pseudorapidity window. The effect of the hadronic resonance decays is also looked into by comparing the experimental findings with the predictions of HIJING model. |
| Copyright/License | publication: © 2022-2024 the author(s) (License: CC-BY-NC-ND-4.0) |
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Record created 2022-09-16, last modified 2022-09-16