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Non-Gaussian elliptic-flow fluctuations in PbPb collisions at $\sqrt{\smash[b]{s_{_\text{NN}}}} = 5.02$ TeV

The CMS collaboration
No Journal Information, 2017

Abstract
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.

  • Table 1

    Data from Fig. 1 (left panel, solid data points)

    10.17182/hepdata.80151.v1/t1

    Unfolded elliptic flow probability density (p(v_2)) for 15-20\% collision centralities

  • Table 2

    Data from Fig. 1 (center panel, solid data points)

    10.17182/hepdata.80151.v1/t2

    Unfolded elliptic flow probability density (p(v_2)) for 30-35\% collision centralities

  • Table 3

    Data from Fig. 1 (right panel, solid data points)

    10.17182/hepdata.80151.v1/t3

    Unfolded elliptic flow probability density (p(v_2)) for 55-60\% collision centralities

  • Table 4

    Data from Fig. 2

    10.17182/hepdata.80151.v1/t4

    The dependence of the second-order elliptic flow cumulant coefficient (v_2{2}) on centrality

  • Table 5

    Data from Fig. 2

    10.17182/hepdata.80151.v1/t5

    The dependence of the fourth-order elliptic flow cumulant coefficient (v_2{4}) on centrality

  • Table 6

    Data from Fig. 2

    10.17182/hepdata.80151.v1/t6

    The dependence of the sixth-order elliptic flow cumulant coefficient (v_2{6}) on centrality

  • Table 7

    Data from Fig. 2

    10.17182/hepdata.80151.v1/t7

    The dependence of the eigth-order elliptic flow cumulant coefficient (v_2{8}) on centrality

  • Table 8

    Data from Fig. 3 (left panel)

    10.17182/hepdata.80151.v1/t8

    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

  • Table 9

    Data from Fig. 3 (center panel)

    10.17182/hepdata.80151.v1/t9

    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

  • Table 10

    Data from Fig. 3 (right panel)

    10.17182/hepdata.80151.v1/t10

    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

  • Table 11

    Data from Fig. 4

    10.17182/hepdata.80151.v1/t11

    The dependence of the standardized skewness estimate (\gamma_1^exp) on centrality

  • Table 12

    Data from Fig. 5 (left panel)

    10.17182/hepdata.80151.v1/t12

    The dependence of the k_2 parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality

  • Table 13

    Data from Fig. 5 (center panel)

    10.17182/hepdata.80151.v1/t13

    The dependence of the \epsilon_0 parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality

  • Table 14

    Data from Fig. 5 (right panel)

    10.17182/hepdata.80151.v1/t14

    The dependence of the \alpha parameter obtained from elliptic power law fits to unfolded elliptic flow probability densities on centrality

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