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  <ref-type name="Chart or Table">38</ref-type>
  <contributors>
    <authors>
      <author>ALICE Collaboration</author>
    </authors>
    <subsidiary-authors>
      <author>ALI</author>
      <author>DTL</author>
      <author>CIT</author>
      <author>EXM</author>
      <author>ALICE@CERN</author>
    </subsidiary-authors>
  </contributors>
  <titles>
    <title>Characterizing the initial conditions of heavy-ion collisions at the LHC with mean transverse momentum and anisotropic flow correlations</title>
  </titles>
  <periodical/>
  <electronic-resource-num>10.17182/HEPDATA.133026</electronic-resource-num>
  <language>English</language>
  <pages/>
  <number/>
  <volume/>
  <abstract>Correlations between mean transverse momentum $[p_{\rm T}]$ and anisotropic flow coefficients $v_{\rm 2}$ or $v_{\rm 3}$ are measured as a function of centrality in Pb--Pb and Xe--Xe collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV and 5.44 TeV, respectively, with ALICE. In addition, the recently proposed higher-order correlation between $[p_{\rm T}]$, $v_{\rm 2}$, and $v_{\rm 3}$ is measured for the first time, which shows an anticorrelation for the presented centrality ranges. These measurements are compared with hydrodynamic calculations using IP-Glasma and $\rm T_{R}ENTo$ initial-state shapes, the former based on the Color Glass Condensate effective theory with gluon saturation, and the latter a parameterized model with nucleons as the relevant degrees of freedom. The data are better described by the IP-Glasma rather than the $\rm T_{R}ENTo$ based calculations. In particular, Trajectum and JETSCAPE predictions, both based on the $\rm T_{R}ENTo$ initial state model but with different parameter settings, fail to describe the measurements. As the correlations between $[p_{\rm T}]$ and $v_{\rm n}$ are mainly driven by the correlations of the size and the shape of the system in the initial state, these new studies pave a novel way to characterize the initial state in relativistic heavy-ion collisions.</abstract>
  <notes>
    <note>Journal Article GSI record: GSI-2023-00116 ; </note>
  </notes>
  <label>PUB:(DE-HGF)32, ; 26, ; </label>
  <keywords/>
  <accession-num/>
  <work-type>Dataset</work-type>
  <dates>
    <pub-dates>
      <year>2022</year>
    </pub-dates>
  </dates>
  <accession-num>GSI-2023-00177</accession-num>
  <year>2022</year>
  <urls>
    <related-urls>
      <url>https://repository.gsi.de/record/250976</url>
      <url>https://doi.org/10.17182/HEPDATA.133026</url>
    </related-urls>
  </urls>
</record>

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