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A systematic study of the factorization of long-range azimuthal two-particle correlations into a product of single-particle anisotropies is presented as a function of pt and eta of both particles, and as a function of the particle multiplicity in PbPb and pPb collisions. The data were taken with the CMS detector for PbPb collisions at sqrt(s[NN]) = 2.76 TeV and pPb collisions at sqrt(s[NN]) = 5.02 TeV, covering a very wide range of multiplicity. Factorization is observed to be broken as a function of both particle pt and eta. When measured with particles of different pt, the magnitude of the factorization breakdown for the second Fourier harmonic reaches 20% for very central PbPb collisions but decreases rapidly as the multiplicity decreases. The data are consistent with viscous hydrodynamic predictions, which suggest that the effect of factorization breaking is mainly sensitive to the initial-state conditions rather than to the transport properties (e.g., shear viscosity) of the medium. The factorization breakdown is also computed with particles of different eta. The effect is found to be weakest for mid-central PbPb events but becomes larger for more central or peripheral PbPb collisions, and also for very high-multiplicity pPb collisions. The eta-dependent factorization data provide new insights to the longitudinal evolution of the medium formed in heavy ion collisions.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.0<p^{trig}_{T}<1.5$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $1.5<p^{trig}_{T}<2.0$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.0<p^{trig}_{T}<2.5$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ for $2.5<p^{trig}_{T}<3.0$ GeV/c for centrality 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $220<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $150<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{3}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $120<=N^{offline}_{trk}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $100<=N^{offline}_{trk}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.0<p^{trig}_{T}<1.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $1.5<p^{trig}_{T}<2.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.0<p^{trig}_{T}<2.5$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $p_{T}$-dependent factorization ratio, $r_{2}$, as a function of $p^{a}_{T} - p^{b}_{T}$ with $2.5<p^{trig}_{T}<3.0$ GeV/c and multiplicity bin $185<=N^{offline}_{trk}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
Factorization ratio, $r_{2}$, as a function of event multiplicity in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
Factorization ratio, $r_{3}$, as a function of event multiplicity in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
Factorization ratio, $r_{2}$, as a function of event multiplicity in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
Factorization ratio, $r_{3}$, as a function of event multiplicity in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 50-60% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{2}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 50-60% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 50-60% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-5% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 5-10% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 10-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 20-30% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 30-40% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 40-50% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{3}$, as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 50-60% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{4}$, as a function of $\eta^{a}$ for 3.0<$\eta_b$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{4}$, as a function of $\eta^{a}$ for 3.0<$\eta_b$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{4}$, as a function of $\eta^{a}$ for 3.0<$\eta_b$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 20-60% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{4}$, as a function of $\eta^{a}$ for 4.4<$\eta_b$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-0.2% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{4}$, as a function of $\eta^{a}$ for 4.4<$\eta_b$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 0-20% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The $\eta$-dependent factorization ratio, $r_{4}$, as a function of $\eta^{a}$ for 4.4<$\eta_b$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for centrality class 20-60% in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^{a}, \eta^{b}){\cdot(-\eta^{a}, -\eta^{b})}}$ a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for multiplicity bin $120<=N_{trk}^{offline}<150$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^{a}, \eta^{b}){\cdot(-\eta^{a}, -\eta^{b})}}$ a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for multiplicity bin $150<=N_{trk}^{offline}<185$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^{a}, \eta^{b}){\cdot(-\eta^{a}, -\eta^{b})}}$ a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for multiplicity bin $185<=N_{trk}^{offline}<220$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^{a}, \eta^{b}){\cdot(-\eta^{a}, -\eta^{b})}}$ a function of $\eta^{a}$ for 3.0<$\eta^{b}$<4.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for multiplicity bin $220<=N_{trk}^{offline}<260$ in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^a, \eta^b)\cdot{r_2(-\eta^{a}, -\eta^{b})}}$ as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for a given multiplicity class in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^a, \eta^b)\cdot{r_2(-\eta^{a}, -\eta^{b})}}$ as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for a given multiplicity class in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^a, \eta^b)\cdot{r_2(-\eta^{a}, -\eta^{b})}}$ as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for a given multiplicity class in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The square root of the product of factorization ratios $\sqrt{r_2(\eta^a, \eta^b)\cdot{r_2(-\eta^{a}, -\eta^{b})}}$ as a function of $\eta^{a}$ for 4.4<$\eta^{b}$<5.0 averaged over 0.3<$p^{a}_{T}$<3 GeV for a given multiplicity class in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
$F^{\eta}_2$ as a function of event multiplicity in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
$F^{\eta}_3$ as a function of event multiplicity in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
$F^{\eta}_4$ as a function of event multiplicity in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV.
$F^{\eta}_2$ as a function of event multiplicity in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV.
The second-order azimuthal anisotropy Fourier harmonics, v2, are obtained in pPb and PbPb collisions over a wide pseudorapidity (eta) range based on correlations among six or more charged particles. The pPb data, corresponding to an integrated luminosity of 35 inverse nanobarns, were collected during the 2013 LHC pPb run at a nucleon-nucleon center-of-mass energy of 5.02 TeV by the CMS experiment. A sample of semi-peripheral PbPb collision data at sqrt(s[NN])= 2.76 TeV, corresponding to an integrated luminosity of 2.5 inverse microbarns and covering a similar range of particle multiplicities as the pPb data, is also analyzed for comparison. The six- and eight-particle cumulant and the Lee-Yang zeros methods are used to extract the v2 coefficients, extending previous studies of two- and four-particle correlations. For both the pPb and PbPb systems, the v2 values obtained with correlations among more than four particles are consistent with previously published four-particle results. These data support the interpretation of a collective origin for the previously observed long-range (large Delta[eta]) correlations in both systems. The ratios of v2 values corresponding to correlations including different numbers of particles are compared to theoretical predictions that assume a hydrodynamic behavior of a pPb system dominated by fluctuations in the positions of participant nucleons. These results provide new insights into the multi-particle dynamics of collision systems with a very small overlapping region.
The cumulant $c_2\{6\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.
The cumulant $c_2\{8\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.
The cumulant $c_2\{6\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.
The cumulant $c_2\{8\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.
The elliptic flow $v_2\{6\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.
The elliptic flow $v_2\{8\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.
The elliptic flow $v_2\{\text{LYZ}\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.
The elliptic flow $v_2\{6\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.
The elliptic flow $v_2\{8\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.
The elliptic flow $v_2\{\text{LYZ}\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.
The cumulant ratio $c_2\{6\}/v_2\{4\}$ as a function of $c_2\{4\}/v_2\{2\}$ in pPb collisions.
The cumulant ratio $c_2\{8\}/v_2\{6\}$ as a function of $c_2\{4\}/v_2\{2\}$ in pPb collisions.
The cumulant ratio $c_2\{6\}/v_2\{4\}$ as a function of $c_2\{4\}/v_2\{2\}$ in PbPb collisions.
The cumulant ratio $c_2\{8\}/v_2\{6\}$ as a function of $c_2\{4\}/v_2\{2\}$ in PbPb collisions.
Measurements of two-particle angular correlations between an identified strange hadron (K0S or Lambda/anti-Lambda) and a charged particle, emitted in pPb collisions, are presented over a wide range in pseudorapidity and full azimuth. The data, corresponding to an integrated luminosity of approximately 35 inverse nanobarns, were collected at a nucleon-nucleon center-of-mass energy (sqrt(s[NN])) of 5.02 TeV with the CMS detector at the LHC. The results are compared to semi-peripheral PbPb collision data at sqrt(s[NN]) = 2.76 TeV, covering similar charged-particle multiplicities in the events. The observed azimuthal correlations at large relative pseudorapidity are used to extract the second-order (v[2]) and third-order (v[3]) anisotropy harmonics of K0S and Lambda/anti-Lambda particles. These quantities are studied as a function of the charged-particle multiplicity in the event and the transverse momentum of the particles. For high-multiplicity pPb events, a clear particle species dependence of v[2] and v[3] is observed. For pt < 2 GeV, the v[2] and v[3] values of K0S particles are larger than those of Lambda/anti-Lambda particles at the same pt. This splitting effect between two particle species is found to be stronger in pPb than in PbPb collisions in the same multiplicity range. When divided by the number of constituent quarks and compared at the same transverse kinetic energy per quark, both v[2] and v[3] for K0S particles are observed to be consistent with those for Lambda/anti-Lambda particles at the 10% level in pPb collisions. This consistency extends over a wide range of particle transverse kinetic energy and event multiplicities.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.
The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.
The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.
The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.
The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.
The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.
The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.
The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.
The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.
The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.
The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.
The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.
The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.
Measurements of two-particle correlation functions and the first five azimuthal harmonics, $v_1$ to $v_5$, are presented, using 28 $\mathrm{nb}^{-1}$ of $p$+Pb collisions at a nucleon-nucleon center-of-mass energy of $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV measured with the ATLAS detector at the LHC. Significant long-range "ridge-like" correlations are observed for pairs with small relative azimuthal angle ($|\Delta\phi|<\pi/3$) and back-to-back pairs ($|\Delta\phi| > 2\pi/3$) over the transverse momentum range $0.4 < p_{\rm T} < 12$ GeV and in different intervals of event activity. The event activity is defined by either the number of reconstructed tracks or the total transverse energy on the Pb-fragmentation side. The azimuthal structure of such long-range correlations is Fourier decomposed to obtain the harmonics $v_n$ as a function of $p_{\rm T}$ and event activity. The extracted $v_n$ values for $n=2$ to 5 decrease with $n$. The $v_2$ and $v_3$ values are found to be positive in the measured $p_{\rm T}$ range. The $v_1$ is also measured as a function of $p_{\rm T}$ and is observed to change sign around $p_{\rm T}\approx 1.5$-2.0 GeV and then increase to about 0.1 for $p_{\rm T}>4$ GeV. The $v_2(p_{\rm T})$, $v_3(p_{\rm T})$ and $v_4(p_{\rm T})$ are compared to the $v_n$ coefficients in Pb+Pb collisions at $\sqrt{s_{\mathrm{NN}}} =2.76$ TeV with similar event multiplicities. Reasonable agreement is observed after accounting for the difference in the average $p_{\rm T}$ of particles produced in the two collision systems.
The distributions of $N_{ch}^{rec}$ for MB and MB+HMT after applying an event-by-event weight, errors are statistical.
The distributions of $E_{T}^{Pb}$ [GeV] for MB and MB+HMT after applying an event-by-event weight, errors are statistical.
Per-trigger yield in 2D, $Y$($\Delta\phi$,$\Delta\eta$), for events with $E_{T}^{Pb} <$ 10 GeV and $N_{ch}^{rec} \geq$ 200 and recoil-subtracted per-trigger yield, $Y^{sub}$($\Delta\phi$,$\Delta\eta$) for events with $N_{ch}^{rec} \geq$ 200. Errors are statistical.
$v_{2,2}^{unsub}$ and $v_{2,2}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.
$v_{3,3}^{unsub}$ and $v_{3,3}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.
$v_{4,4}^{unsub}$ and $v_{4,4}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
The integrated per-trigger yield, Y_{int}, on the near-side, the away-side and their difference and Y_{int} from the recoil as a function of event activity. Errors are statistical.
The integrated per-trigger yield, Y_{int}, on the near-side, the away-side and their difference and Y_{int} from the recoil as a function of event activity. Errors are statistical.
The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.
The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.
The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The centrality dependence of $v_{2}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{3}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{4}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{2}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{3}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{4}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.
The $v_{2}$ as a function of $E_{T}^{Pb}$ obtained indirectly by mapping from the $N_{ch}^{rec}-dependence of $v_{2}$ using the correlation data shown in Fig. 2(b).
The $v_{3}$ as a function of $E_{T}^{Pb}$ obtained indirectly by mapping from the $N_{ch}^{rec}-dependence of $v_{3}$ using the correlation data shown in Fig. 2(b).
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
$v_{2}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.
$v_{2}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.
$v_{3}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.
$v_{3}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.
$v_{4}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.
$v_{4}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.
Correlation between $E_{T}^{FCal}$ and $N_{ch}^{rec}$ for MB events (without weighting) and MB+HMT events (with weighting), errors are statistical.
ATLAS measurements of the azimuthal anisotropy in lead-lead collisions at $\sqrt{s_{NN}}=2.76$ TeV are shown using a dataset of approximately 7 $\mu$b$^{-1}$ collected at the LHC in 2010. The measurements are performed for charged particles with transverse momenta $0.5<p_T<20$ GeV and in the pseudorapidity range $|\eta|<2.5$. The anisotropy is characterized by the Fourier coefficients, $v_n$, of the charged-particle azimuthal angle distribution for n = 2-4. The Fourier coefficients are evaluated using multi-particle cumulants calculated with the generating function method. Results on the transverse momentum, pseudorapidity and centrality dependence of the $v_n$ coefficients are presented. The elliptic flow, $v_2$, is obtained from the two-, four-, six- and eight-particle cumulants while higher-order coefficients, $v_3$ and $v_4$, are determined with two- and four-particle cumulants. Flow harmonics $v_n$ measured with four-particle cumulants are significantly reduced compared to the measurement involving two-particle cumulants. A comparison to $v_n$ measurements obtained using different analysis methods and previously reported by the LHC experiments is also shown. Results of measurements of flow fluctuations evaluated with multi-particle cumulants are shown as a function of transverse momentum and the collision centrality. Models of the initial spatial geometry and its fluctuations fail to describe the flow fluctuations measurements.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 0-2%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 0-2%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 40-50%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 10-20%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 20-30%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 30-40%.
The triangular flow harmonic measured with the two-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The triangular flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 0-25%.
The triangular flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The triangular flow harmonic measured with the two-particle cumulats as a function of transverse momentum in centrality bin 25-60%.
The triangular flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 25-60%.
The triangular flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 25-60%.
The quadrangular flow harmonic measured with the two-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The quadrangular flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 0-25%.
The quadrangular flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 0-2%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 0-2%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 60-80%.
The triangular flow harmonic measured with the two-particle cumulats as a function of pseudorapidity in centrality bin 0-60%.
The triangular flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 0-60%.
The triangular flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 0-60%.
The quadrangular flow harmonic measured with the two-particle cumulats as a function of pseudorapidity in centrality bin 0-25%.
The quadrangular flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 0-25%.
The quadrangular flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 0-25%.
The second flow harmonic measured with the two-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the four-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the six-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the eight-particle cumulats as a function of <Npart>.
The ratio of second flow harmonics measured with the six- and four-particle cumulants as a function of <Npart>.
The ratio of second flow harmonics measured with the eight- and four-particle cumulants as a function of <Npart>.
The second flow harmonic measured with the Event Plane method as a function of <Npart>.
The triangular flow harmonic measured with the Event Plane method as a function of <Npart>.
The triangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The triangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The quadrangular flow harmonic measured with the Event Plane method as a function of <Npart>.
The quadrangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The quadrangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic fluctuations, F(v2), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v3), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v4), as a function of <Npart>.
The second flow harmonic measured with the two-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the four-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the six-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the eight-particle cumulats as a function of <Npart>.
The ratio of second flow harmonics measured with the six- and four-particle cumulants as a function of <Npart>.
The ratio of second flow harmonics measured with the eight- and four-particle cumulants as a function of <Npart>.
The triangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The quadrangular flow harmonic measured with the Event Plane method as a function of <Npart>.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic fluctuations, F(v2), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v3), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v4), as a function of <Npart>.
Measurements of charged-particle fragmentation functions of jets produced in ultra-relativistic nuclear collisions can provide insight into the modification of parton showers in the hot, dense medium created in the collisions. ATLAS has measured jets in $\sqrt{s_{NN}} = 2.76$ TeV Pb+Pb collisions at the LHC using a data set recorded in 2011 with an integrated luminosity of 0.14 nb$^{-1}$. Jets were reconstructed using the anti-$k_{t}$ algorithm with distance parameter values $R$ = 0.2, 0.3, and 0.4. Distributions of charged-particle transverse momentum and longitudinal momentum fraction are reported for seven bins in collision centrality for $R=0.4$ jets with $p_{{T}}^{\mathrm{jet}}> 100$ GeV. Commensurate minimum $p_{\mathrm{T}}$ values are used for the other radii. Ratios of fragment distributions in each centrality bin to those measured in the most peripheral bin are presented. These ratios show a reduction of fragment yield in central collisions relative to peripheral collisions at intermediate $z$ values, $0.04 \lesssim z \lesssim 0.2$ and an enhancement in fragment yield for $z \lesssim 0.04$. A smaller, less significant enhancement is observed at large $z$ and large $p_{\mathrm{T}}$ in central collisions.
Differences of D(Z) distributions in different centralities with respect to peripheral events for R = 0.3 jets. The errors represent combined statistical and systematic uncertainties.
Differences of D(Z) distributions in different centralities with respect to peripheral events for R = 0.2 jets. The errors represent combined statistical and systematic uncertainties.
D(z) distribution for R=0.4 jets.
D(z) distribution for R=0.4 jets.
D(z) distribution for R=0.4 jets.
D(z) distribution for R=0.4 jets.
D(z) distribution for R=0.4 jets.
D(z) distribution for R=0.4 jets.
D(z) distribution for R=0.4 jets.
D(z) distribution for R=0.3 jets.
D(z) distribution for R=0.3 jets.
D(z) distribution for R=0.3 jets.
D(z) distribution for R=0.3 jets.
D(z) distribution for R=0.3 jets.
D(z) distribution for R=0.3 jets.
D(z) distribution for R=0.3 jets.
D(z) distribution for R=0.2 jets.
D(z) distribution for R=0.2 jets.
D(z) distribution for R=0.2 jets.
D(z) distribution for R=0.2 jets.
D(z) distribution for R=0.2 jets.
D(z) distribution for R=0.2 jets.
D(z) distribution for R=0.2 jets.
D(pt) distribution for R=0.4 jets.
D(pt) distribution for R=0.4 jets.
D(pt) distribution for R=0.4 jets.
D(pt) distribution for R=0.4 jets.
D(pt) distribution for R=0.4 jets.
D(pt) distribution for R=0.4 jets.
D(pt) distribution for R=0.4 jets.
D(pt) distribution for R=0.3 jets.
D(pt) distribution for R=0.3 jets.
D(pt) distribution for R=0.3 jets.
D(pt) distribution for R=0.3 jets.
D(pt) distribution for R=0.3 jets.
D(pt) distribution for R=0.3 jets.
D(pt) distribution for R=0.3 jets.
D(pt) distribution for R=0.2 jets.
D(pt) distribution for R=0.2 jets.
D(pt) distribution for R=0.2 jets.
D(pt) distribution for R=0.2 jets.
D(pt) distribution for R=0.2 jets.
D(pt) distribution for R=0.2 jets.
D(pt) distribution for R=0.2 jets.
Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(z) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.4 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.3 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.
Ratio of D(pt) distributions for R=0.2 jets for central to peripheral events.
The integrated elliptic flow of charged particles produced in Pb+Pb collisions at sqrt(s_NN)=2.76 TeV has been measured with the ATLAS detector using data collected at the Large Hadron Collider. The anisotropy parameter, v_2, was measured in the pseudorapidity range |eta| <= 2.5 with the event-plane method. In order to include tracks with very low transverse momentum pT, thus reducing the uncertainty in v_2 integrated over pT, a 1 mu b-1 data sample without a magnetic field in the tracking detectors is used. The centrality dependence of the integrated v_2 is compared to other measurements obtained with higher pT thresholds. A weak pseudorapidity dependence of the integrated elliptic flow is observed for central collisions, and a small decrease when moving away from mid-rapidity is observed only in peripheral collisions. The integrated v2 transformed to the rest frame of one of the colliding nuclei is compared to the lower-energy RHIC data.
Monte Carlo evaluation of the tracklet reconstruction efficiency as a function of pseudorapidity for the 0-10% centraliry interval.
Monte Carlo evaluation of the tracklet reconstruction efficiency as a function of pseudorapidity for the 40-50% centraliry interval.
Monte Carlo evaluation of the tracklet reconstruction efficiency as a function of pseudorapidity for the 70-80% centraliry interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 70-80% centrality interval.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 0-10% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 10-20% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 20-30% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 30-40% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 40-50% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 50-60% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 60-70% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 70-80% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 0-10% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 10-20% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 20-30% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 30-40% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 40-50% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 50-60% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 60-70% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 70-80% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Integrated elliptic flow, $v_{2}$, as a function of $|\eta| - y_{beam}$ for three centrality intervals Error bars indicate statistical and systematic uncertainties added in quadrature.
The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 70-80% centrality interval.
A measurement of event-plane correlations involving two or three event planes of different order is presented as a function of centrality for 7 ub-1 Pb+Pb collision data at sqrt(s_NN)=2.76 TeV, recorded by the ATLAS experiment at the LHC. Fourteen correlators are measured using a standard event-plane method and a scalar-product method, and the latter method is found to give a systematically larger correlation signal. Several different trends in the centrality dependence of these correlators are observed. These trends are not reproduced by predictions based on the Glauber model, which includes only the correlations from the collision geometry in the initial state. Calculations that include the final-state collective dynamics are able to describe qualitatively, and in some cases also quantitatively, the centrality dependence of the measured correlators. These observations suggest that both the fluctuations in the initial geometry and non-linear mixing between different harmonics in the final state are important for creating these correlations in momentum space.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Two-plane EP correlation data from SP method and EP method.
Two-plane EP correlation from Glauber model from SP method and EP method.
Three-plane EP correlation data from SP method and EP method.
Three-plane EP correlation from Glauber model from SP method and EP method.
Three-plane EP correlation data from SP method and EP method.
Three-plane EP correlation from Glauber model from SP method and EP method.
Three-plane EP correlation data from SP method and EP method.
Three-plane EP correlation from Glauber model from SP method and EP method.
Three-plane EP correlation data from SP method and EP method.
Three-plane EP correlation from Glauber model from SP method and EP method.
Three-plane EP correlation data from SP method and EP method.
Three-plane EP correlation from Glauber model from SP method and EP method.
Three-plane EP correlation data from SP method and EP method.
Three-plane EP correlation from Glauber model from SP method and EP method.
The distributions of event-by-event harmonic flow coefficients v_n for n=2-4 are measured in sqrt(s_NN)=2.76 TeV Pb+Pb collisions using the ATLAS detector at the LHC. The measurements are performed using charged particles with transverse momentum pT> 0.5 GeV and in the pseudorapidity range |eta|<2.5 in a dataset of approximately 7 ub^-1 recorded in 2010. The shapes of the v_n distributions are described by a two-dimensional Gaussian function for the underlying flow vector in central collisions for v_2 and over most of the measured centrality range for v_3 and v_4. Significant deviations from this function are observed for v_2 in mid-central and peripheral collisions, and a small deviation is observed for v_3 in mid-central collisions. It is shown that the commonly used multi-particle cumulants are insensitive to the deviations for v_2. The v_n distributions are also measured independently for charged particles with 0.5<pT<1 GeV and pT>1 GeV. When these distributions are rescaled to the same mean values, the adjusted shapes are found to be nearly the same for these two pT ranges. The v_n distributions are compared with the eccentricity distributions from two models for the initial collision geometry: a Glauber model and a model that includes corrections to the initial geometry due to gluon saturation effects. Both models fail to describe the experimental data consistently over most of the measured centrality range.
The relationship between centrality intervals and MEAN(Npart) estimated from the Glauber model.
The MEAN(Npart) dependence of MEAN(V2) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of SIGMA(V2) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of SIGMA(V2)/MEAN(V2) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of MEAN(V3) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of SIGMA(V3) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of SIGMA(V3)/MEAN(V3) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of MEAN(V4) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of SIGMA(V4) for three pT ranges together with the total systematic uncertainties.
The MEAN(Npart) dependence of SIGMA(V4)/MEAN(V4) for three pT ranges together with the total systematic uncertainties.
Eccentricity curves for EPSILON2 in Figure 12.
Eccentricity curves for EPSILON3 in Figure 12.
Eccentricity curves for EPSILON4 in Figure 12.
Comparison of MEAN(V2) and SQRT(MEAN(V2**2)), derived from the EbyE V2 distributions, with the V2(EP), for charged particles in the pT > 0.5 GeV range.
The ratios of SQRT(MEAN(V2**2)) and V2(EP) to MEAN(V2), for charged particles in the pT > 0.5 GeV range.
Comparison of MEAN(V3) and SQRT(MEAN(V3**2)), derived from the EbyE V3 distributions, with the V3(EP), for charged particles in the pT > 0.5 GeV range.
The ratios of SQRT(MEAN(V3**2)) and V3(EP) to MEAN(V3), for charged particles in the pT > 0.5 GeV range.
Comparison of MEAN(V4) and SQRT(MEAN(V4**2)), derived from the EbyE V4 distributions, with the V4(EP), for charged particles in the pT > 0.5 GeV range.
The ratios of SQRT(MEAN(V4**2)) and V4(EP) to MEAN(V4), for charged particles in the pT > 0.5 GeV range.
Comparison of MEAN(V2) and SQRT(MEAN(V2**2)), derived from the EbyE V2 distributions, with the V2(EP), for charged particles in the 0.5 < pT < 1 GeV range.
The ratios of SQRT(MEAN(V2**2)) and V2(EP) to MEAN(V2), for charged particles in the 0.5 < pT < 1 GeV range.
Comparison of MEAN(V3) and SQRT(MEAN(V3**2)), derived from the EbyE V3 distributions, with the V3(EP), for charged particles in the 0.5 < pT < 1 GeV range.
The ratios of SQRT(MEAN(V3**2)) and V3(EP) to MEAN(V3), for charged particles in the 0.5 < pT < 1 GeV range.
Comparison of MEAN(V4) and SQRT(MEAN(V4**2)), derived from the EbyE V4 distributions, with the V4(EP), for charged particles in the 0.5 < pT < 1 GeV range.
The ratios of SQRT(MEAN(V4**2)) and V4(EP) to MEAN(V4), for charged particles in the 0.5 < pT < 1 GeV range.
Comparison of MEAN(V2) and SQRT(MEAN(V2**2)), derived from the EbyE V2 distributions, with the V2(EP), for charged particles in the pT > 1 GeV range.
The ratios of SQRT(MEAN(V2**2)) and V2(EP) to MEAN(V2), for charged particles in the pT > 1 GeV range.
Comparison of MEAN(V3) and SQRT(MEAN(V3**2)), derived from the EbyE V3 distributions, with the V3(EP), for charged particles in the pT > 1 GeV range.
The ratios of SQRT(MEAN(V3**2)) and V3(EP) to MEAN(V3), for charged particles in the pT > 1 GeV range.
Comparison of MEAN(V4) and SQRT(MEAN(V4**2)), derived from the EbyE V4 distributions, with the V4(EP), for charged particles in the pT > 1 GeV range.
The ratios of SQRT(MEAN(V4**2)) and V4(EP) to MEAN(V4), for charged particles in the pT > 1 GeV range.
Bessel-Gaussian fit parameters from Eq. (1.4) and total errors.
The dependence of MEAN(V2) and V2(RP) on MEAN(Npart).
The dependence of SIGMA(V2) and DELTA(V2) on MEAN(Npart).
The dependence of SIGMA(V2) / MEAN(V2) and DELTA(V2) / V2(RP) on MEAN(Npart).
Comparison of the V2(RP) obtained from the Bessel-Gaussian fit of the V2 distributions with the values for two-particle (V2(calc){2}), four-particle (V2(calc){4}), six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants calculated directly from the unfolded V2 distributions.
The ratios of the four-particle (V2(calc){4}), six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants to the fit results (V2(RP)), with the total uncertainties.
The ratios of the six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants to the four-particle (V2(calc){4}) cumulants, with the total uncertainties.
Comparison of the V3(RP) obtained from the Bessel-Gaussian fit of the V3 distributions with the values for two-particle (V3(calc){2}), four-particle (V3(calc){4}), six-particle (V3(calc){6}) and eight-particle (V3(calc){8}) cumulants calculated directly from the unfolded V3 distributions.
The ratios of the four-particle (V3(calc){4}), six-particle (V3(calc){6}) and eight-particle (V3(calc){8}) cumulants to the fit results (V3(RP)), with the total uncertainties.
The ratios of the six-particle (V3(calc){6}) and eight-particle (V3(calc){8}) cumulants to the four-particle (V3(calc){4}) cumulants, with the total uncertainties.
The standard deviation (SIGMA(V2)), the width obtained from Bessel-Gaussian function (DELTA(V2)), the width F1 = SQRT( ( V2(calc){2}**2 - V2(calc){4}**2 ) / 2 ) estimated from the two-particle cumulant (V2(calc){2}) and four-particle cumulant (V2(calc){4}), where these cumulants are calculated analytically via Eq. (5.3) from the V2 distribution.
Various estimates of the relative fluctuations given as SIGMA(V2) / MEAN(V2), DELTA(V2) / V2(RP), F2 = SQRT( ( V2(calc){2}**2 - V2(calc){4}**2) / ( 2*V2(calc){4}**2 ) ) and F3 = SQRT( ( V2(calc){2}**2 - V2(calc){4}**2) / ( V2(calc){2}**2 + V2(calc){4}**2 ) ).
Comparison in 0.5 < pT < 1 GeV of the V2(RP) obtained from the Bessel-Gaussian fit of the V2 distributions with the values for two-particle (V2(calc){2}), four-particle (V2(calc){4}), six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants calculated directly from the unfolded V2 distributions.
The ratios for 0.5 < pT < 1 GeV of the four-particle (V2(calc){4}), six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants to the fit results (V2(RP)), with the total uncertainties.
The ratios for 0.5 < pT < 1 GeV of the six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants to the four-particle (V2(calc){4}) cumulants, with the total uncertainties.
Comparison in pT > 1 GeV of the V2(RP) obtained from the Bessel-Gaussian fit of the V2 distributions with the values for two-particle (V2(calc){2}), four-particle (V2(calc){4}), six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants calculated directly from the unfolded V2 distributions.
The ratios for pT > 1 GeV of the four-particle (V2(calc){4}), six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants to the fit results (V2(RP)), with the total uncertainties.
The ratios for pT > 1 GeV of the six-particle (V2(calc){6}) and eight-particle (V2(calc){8}) cumulants to the four-particle (V2(calc){4}) cumulants, with the total uncertainties.
The values of V2(RP) and V2(RP,obs) obtained from the Bessel-Gaussian fits to the V2 and V2(obs) distributions, with the statistical uncertainties.
The values of DELTA(V2) and DELTA(V2,obs) obtained from the Bessel-Gaussian fits to the V2 and V2(obs) distributions, with the statistical uncertainties.
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The anisotropy of the azimuthal distributions of charged particles produced in PbPb collisions with a nucleon-nucleon center-of-mass energy of 2.76 TeV is studied with the CMS experiment at the LHC. The elliptic anisotropy parameter defined as the second coefficient in a Fourier expansion of the particle invariant yields, is extracted using the event-plane method, two- and four-particle cumulants, and Lee--Yang zeros. The anisotropy is presented as a function of transverse momentum (pt), pseudorapidity (eta) over a broad kinematic range: 0.3 < pt < 20 GeV, abs(eta) < 2.4, and in 12 classes of collision centrality from 0 to 80%. The results are compared to those obtained at lower center-of-mass energies, and various scaling behaviors are examined. When scaled by the geometric eccentricity of the collision zone, the elliptic anisotropy is found to obey a universal scaling with the transverse particle density for different collision systems and center-of-mass energies.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 0-5%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 5-10%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 10-15%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 15-20%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 20-25%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 25-30%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 30-35%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 35-40%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 40-50%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 50-60%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 60-70%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 70-80%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 0-5%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 5-10%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 10-15%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 15-20%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 20-25%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 25-30%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 30-35%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 35-40%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 40-50%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 50-60%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 60-70%.
Measurements of the second-order elliptic anisotropy parameter using the cumulant method, V2(C2) v PT for the centrality range 70-80%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 5-10%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 10-15%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 15-20%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 20-25%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 25-30%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 30-35%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 35-40%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 40-50%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 50-60%.
Measurements of the fourth-order elliptic anisotropy parameter using the cumulant method, V2(C4) v PT for the centrality range 60-70%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 5-10%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 10-15%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 15-20%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 20-25%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 25-30%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 30-35%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 35-40%.
Measurements of the elliptic anisotropy parameter using the Lee-Yang zeros method, V2(LYZ) v PT for the centrality range 40-50%.
Integrtated V2 as a function of centrality.
Pseudorapidity dependence of V2 for centrality 0-5%.
Pseudorapidity dependence of V2 for centrality 5-10%.
Pseudorapidity dependence of V2 for centrality 10-15%.
Pseudorapidity dependence of V2 for centrality 15-20%.
Pseudorapidity dependence of V2 for centrality 20-25%.
Pseudorapidity dependence of V2 for centrality 25-30%.
Pseudorapidity dependence of V2 for centrality 30-35%.
Pseudorapidity dependence of V2 for centrality 35-40%.
Pseudorapidity dependence of V2 for centrality 40-50%.
Pseudorapidity dependence of V2 for centrality 50-60%.
Pseudorapidity dependence of V2 for centrality 60-70%.
Pseudorapidity dependence of V2 for centrality 70-80%.
PT dependence of V2(EP) for centrality 0-5% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 0-5% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 5-10% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 5-10% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 10-15% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 10-15% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 15-20% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 15-20% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 20-25% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 20-25% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 25-30% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 25-30% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 30-35% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 30-35% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 35-40% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 35-40% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 40-50% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 40-50% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 50-60% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 50-60% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 60-70% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 60-70% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
PT dependence of V2(EP) for centrality 70-80% and |eta| ranges 0.0-0.4, 0.4-0.8 and 0.8-1.2.
PT dependence of V2(EP) for centrality 70-80% and |eta| ranges 1.2-1.6, 1.6-2.0 and 2.0-2.4.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 0-10%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 10-20%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 20-30%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 30-40%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 40-50%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 50-60%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 60-70%.
Measurements of the elliptic anisotropy parameter using the event-plane method, V2(EP) v PT for the centrality range 70-80%.
Measurements of the second- and fourth-order elliptic anisotropy parameters using the cumulant method v PT for the centrality range 20-60%.
Integrated V2 value extrapolated to PT=0 for the 20-30% centrality range using the event-plane method. Error is combined statistical and systematic.
Integrated V2 values from the event-plane method divided by the participant eccentricity (EPSILON) as a function of the number of participating nucleons (NPART) for the |eta| range <0.8 and PT range 0-3 GeV. Also shown are the correspnding centrality bin ranges.
Eccentricity-scaled V2 as a function of the transverse charged-particle density normalised by the transverse overlap area (S).
The dependence of V2 from the event-plane method on the pseudorapidity, transformed to the rest frame of nuclei moving separately in the positive(negative) directions by adding(subtracting) the beam rapidity,YBEAM. +(-)ve values are from +(-)YBEAM.
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