{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.80151.v1","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/1636197"}},{"@id":"https://doi.org/10.1016/j.physletb.2018.11.063","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"CMS Collaboration"},"creator":{"@type":"Organization","name":"CMS Collaboration"},"datePublished":"2018","description":"Event-by-event fluctuations in the elliptic-flow coefficient $v_2$ are studied in PbPb collisions at $\\sqrt{s_{_\\text{NN}}} = 5.02$ TeV using the CMS detector at the CERN LHC. Elliptic-flow probability distributions ${p}(v_2)$ for charged particles with transverse momentum 0.3$< p_\\mathrm{T} <$3.0 GeV and pseudorapidity $| \\eta | <$ 1.0 are determined for different collision centrality classes. The moments of the ${p}(v_2)$ distributions are used to calculate the $v_{2}$ coefficients based on cumulant orders 2, 4, 6, and 8. A rank ordering of the higher-order cumulant results and nonzero standardized skewness values obtained for the ${p}(v_2)$ distributions indicate non-Gaussian initial-state fluctuation behavior. Bessel-Gaussian and elliptic power fits to the flow distributions are studied to characterize the initial-state spatial anisotropy.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t1","@type":"Dataset","description":"Unfolded elliptic flow probability density (p(v_2)) for 15-20\\% collision centralities","name":"Table 1"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t2","@type":"Dataset","description":"Unfolded elliptic flow probability density (p(v_2)) for 30-35\\% collision centralities","name":"Table 2"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t3","@type":"Dataset","description":"Unfolded elliptic flow probability density (p(v_2)) for 55-60\\% collision centralities","name":"Table 3"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t4","@type":"Dataset","description":"The dependence of the second-order elliptic flow cumulant coefficient (v_2{2}) on centrality","name":"Table 4"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t5","@type":"Dataset","description":"The dependence of the fourth-order elliptic flow cumulant coefficient (v_2{4}) on centrality","name":"Table 5"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t6","@type":"Dataset","description":"The dependence of the sixth-order elliptic flow cumulant coefficient (v_2{6}) on centrality","name":"Table 6"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t7","@type":"Dataset","description":"The dependence of the eigth-order elliptic flow cumulant coefficient (v_2{8}) on centrality","name":"Table 7"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t8","@type":"Dataset","description":"The dependence of the ratio of the sixth-order to the fourth-order elliptic flow cumulant coefficients (v_2{6} / v_2{4}) on centrality","name":"Table 8"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t9","@type":"Dataset","description":"The dependence of the ratio of the eigth-order to the fourth-order elliptic flow cumulant coefficients (v_2{8} / v_2{4}) on centrality","name":"Table 9"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t10","@type":"Dataset","description":"The dependence of the ratio of the eigth-order to the sixth-order elliptic flow cumulant coefficients (v_2{8} / v_2{6}) on centrality","name":"Table 10"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t11","@type":"Dataset","description":"The dependence of the standardized skewness estimate (\\gamma_1^exp) on centrality","name":"Table 11"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t12","@type":"Dataset","description":"The dependence of the k_2 parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality","name":"Table 12"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t13","@type":"Dataset","description":"The dependence of the \\epsilon_0 parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality","name":"Table 13"},{"@id":"https://doi.org/10.17182/hepdata.80151.v1/t14","@type":"Dataset","description":"The dependence of the \\alpha parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality","name":"Table 14"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins1636197?version=1"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/80151"}],"inLanguage":"en","name":"Non-Gaussian elliptic-flow fluctuations in PbPb collisions at $\\sqrt{\\smash[b]{s_{_\\text{NN}}}} = 5.02$ TeV","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins1636197?version=1","version":1}