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This paper presents measurements of charged-hadron spectra obtained in $pp$, $p$+Pb, and Pb+Pb collisions at $\sqrt{s}$ or $\sqrt{s_{_\text{NN}}}=5.02$ TeV, and in Xe+Xe collisions at $\sqrt{s_{_\text{NN}}}=5.44$ TeV. The data recorded by the ATLAS detector at the LHC have total integrated luminosities of 25 pb${}^{-1}$, 28 nb${}^{-1}$, 0.50 nb${}^{-1}$, and 3 $\mu$b${}^{-1}$, respectively. The nuclear modification factors $R_{p\text{Pb}}$ and $R_\text{AA}$ are obtained by comparing the spectra in heavy-ion and $pp$ collisions in a wide range of charged-particle transverse momenta and pseudorapidity. The nuclear modification factor $R_{p\text{Pb}}$ shows a moderate enhancement above unity with a maximum at $p_{\mathrm{T}} \approx 3$ GeV; the enhancement is stronger in the Pb-going direction. The nuclear modification factors in both Pb+Pb and Xe+Xe collisions feature a significant, centrality-dependent suppression. They show a similar distinct $p_{\mathrm{T}}$-dependence with a local maximum at $p_{\mathrm{T}} \approx 2$ GeV and a local minimum at $p_{\mathrm{T}} \approx 7$ GeV. This dependence is more distinguishable in more central collisions. No significant $|\eta|$-dependence is found. A comprehensive comparison with several theoretical predictions is also provided. They typically describe $R_\text{AA}$ better in central collisions and in the $p_{\mathrm{T}}$ range from about 10 to 100 GeV.
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>.
Correlations between the elliptic or triangular flow coefficients $v_m$ ($m$=2 or 3) and other flow harmonics $v_n$ ($n$=2 to 5) are measured using $\sqrt{s_{NN}}=2.76$ TeV Pb+Pb collision data collected in 2010 by the ATLAS experiment at the LHC, corresponding to an integrated lumonisity of 7 $\mu$b$^{-1}$. The $v_m$-$v_n$ correlations are measured in midrapidity as a function of centrality, and, for events within the same centrality interval, as a function of event ellipticity or triangularity defined in a forward rapidity region. For events within the same centrality interval, $v_3$ is found to be anticorrelated with $v_2$ and this anticorrelation is consistent with similar anticorrelations between the corresponding eccentricities $\epsilon_2$ and $\epsilon_3$. On the other hand, it is observed that $v_4$ increases strongly with $v_2$, and $v_5$ increases strongly with both $v_2$ and $v_3$. The trend and strength of the $v_m$-$v_n$ correlations for $n$=4 and 5 are found to disagree with $\epsilon_m$-$\epsilon_n$ correlations predicted by initial-geometry models. Instead, these correlations are found to be consistent with the combined effects of a linear contribution to $v_n$ and a nonlinear term that is a function of $v_2^2$ or of $v_2v_3$, as predicted by hydrodynamic models. A simple two-component fit is used to separate these two contributions. The extracted linear and nonlinear contributions to $v_4$ and $v_5$ are found to be consistent with previously measured event-plane correlations.
$v_{2}$ data for various $q_2$ bins, Centrality 0-5%.
$v_{3}$ data for various $q_2$ bins, Centrality 0-5%.
$v_{4}$ data for various $q_2$ bins, Centrality 0-5%.
$v_{5}$ data for various $q_2$ bins, Centrality 0-5%.
$v_{2}$ data for various $q_2$ bins, Centrality 5-10%.
$v_{3}$ data for various $q_2$ bins, Centrality 5-10%.
$v_{4}$ data for various $q_2$ bins, Centrality 5-10%.
$v_{5}$ data for various $q_2$ bins, Centrality 5-10%.
$v_{2}$ data for various $q_2$ bins, Centrality 10-15%.
$v_{3}$ data for various $q_2$ bins, Centrality 10-15%.
$v_{4}$ data for various $q_2$ bins, Centrality 10-15%.
$v_{5}$ data for various $q_2$ bins, Centrality 10-15%.
$v_{2}$ data for various $q_2$ bins, Centrality 15-20%.
$v_{3}$ data for various $q_2$ bins, Centrality 15-20%.
$v_{4}$ data for various $q_2$ bins, Centrality 15-20%.
$v_{5}$ data for various $q_2$ bins, Centrality 15-20%.
$v_{2}$ data for various $q_2$ bins, Centrality 20-25%.
$v_{3}$ data for various $q_2$ bins, Centrality 20-25%.
$v_{4}$ data for various $q_2$ bins, Centrality 20-25%.
$v_{5}$ data for various $q_2$ bins, Centrality 20-25%.
$v_{2}$ data for various $q_2$ bins, Centrality 25-30%.
$v_{3}$ data for various $q_2$ bins, Centrality 25-30%.
$v_{4}$ data for various $q_2$ bins, Centrality 25-30%.
$v_{5}$ data for various $q_2$ bins, Centrality 25-30%.
$v_{2}$ data for various $q_2$ bins, Centrality 30-35%.
$v_{3}$ data for various $q_2$ bins, Centrality 30-35%.
$v_{4}$ data for various $q_2$ bins, Centrality 30-35%.
$v_{5}$ data for various $q_2$ bins, Centrality 30-35%.
$v_{2}$ data for various $q_2$ bins, Centrality 35-40%.
$v_{3}$ data for various $q_2$ bins, Centrality 35-40%.
$v_{4}$ data for various $q_2$ bins, Centrality 35-40%.
$v_{5}$ data for various $q_2$ bins, Centrality 35-40%.
$v_{2}$ data for various $q_2$ bins, Centrality 40-45%.
$v_{3}$ data for various $q_2$ bins, Centrality 40-45%.
$v_{4}$ data for various $q_2$ bins, Centrality 40-45%.
$v_{5}$ data for various $q_2$ bins, Centrality 40-45%.
$v_{2}$ data for various $q_2$ bins, Centrality 45-50%.
$v_{3}$ data for various $q_2$ bins, Centrality 45-50%.
$v_{4}$ data for various $q_2$ bins, Centrality 45-50%.
$v_{5}$ data for various $q_2$ bins, Centrality 45-50%.
$v_{2}$ data for various $q_2$ bins, Centrality 50-55%.
$v_{3}$ data for various $q_2$ bins, Centrality 50-55%.
$v_{4}$ data for various $q_2$ bins, Centrality 50-55%.
$v_{5}$ data for various $q_2$ bins, Centrality 50-55%.
$v_{2}$ data for various $q_2$ bins, Centrality 55-60%.
$v_{3}$ data for various $q_2$ bins, Centrality 55-60%.
$v_{4}$ data for various $q_2$ bins, Centrality 55-60%.
$v_{5}$ data for various $q_2$ bins, Centrality 55-60%.
$v_{2}$ data for various $q_2$ bins, Centrality 60-65%.
$v_{3}$ data for various $q_2$ bins, Centrality 60-65%.
$v_{4}$ data for various $q_2$ bins, Centrality 60-65%.
$v_{5}$ data for various $q_2$ bins, Centrality 60-65%.
$v_{2}$ data for various $q_2$ bins, Centrality 65-70%.
$v_{3}$ data for various $q_2$ bins, Centrality 65-70%.
$v_{4}$ data for various $q_2$ bins, Centrality 65-70%.
$v_{5}$ data for various $q_2$ bins, Centrality 65-70%.
$v_{2}$ data for various $q_2$ bins, Centrality 0-10%.
$v_{3}$ data for various $q_2$ bins, Centrality 0-10%.
$v_{4}$ data for various $q_2$ bins, Centrality 0-10%.
$v_{5}$ data for various $q_2$ bins, Centrality 0-10%.
$v_{2}$ data for various $q_2$ bins, Centrality 10-20%.
$v_{3}$ data for various $q_2$ bins, Centrality 10-20%.
$v_{4}$ data for various $q_2$ bins, Centrality 10-20%.
$v_{5}$ data for various $q_2$ bins, Centrality 10-20%.
$v_{2}$ data for various $q_2$ bins, Centrality 20-30%.
$v_{3}$ data for various $q_2$ bins, Centrality 20-30%.
$v_{4}$ data for various $q_2$ bins, Centrality 20-30%.
$v_{5}$ data for various $q_2$ bins, Centrality 20-30%.
$v_{2}$ data for various $q_2$ bins, Centrality 30-40%.
$v_{3}$ data for various $q_2$ bins, Centrality 30-40%.
$v_{4}$ data for various $q_2$ bins, Centrality 30-40%.
$v_{5}$ data for various $q_2$ bins, Centrality 30-40%.
$v_{2}$ data for various $q_2$ bins, Centrality 40-50%.
$v_{3}$ data for various $q_2$ bins, Centrality 40-50%.
$v_{4}$ data for various $q_2$ bins, Centrality 40-50%.
$v_{5}$ data for various $q_2$ bins, Centrality 40-50%.
$v_{2}$ data for various $q_3$ bins, Centrality 0-5%.
$v_{3}$ data for various $q_3$ bins, Centrality 0-5%.
$v_{4}$ data for various $q_3$ bins, Centrality 0-5%.
$v_{5}$ data for various $q_3$ bins, Centrality 0-5%.
$v_{2}$ data for various $q_3$ bins, Centrality 5-10%.
$v_{3}$ data for various $q_3$ bins, Centrality 5-10%.
$v_{4}$ data for various $q_3$ bins, Centrality 5-10%.
$v_{5}$ data for various $q_3$ bins, Centrality 5-10%.
$v_{2}$ data for various $q_3$ bins, Centrality 10-15%.
$v_{3}$ data for various $q_3$ bins, Centrality 10-15%.
$v_{4}$ data for various $q_3$ bins, Centrality 10-15%.
$v_{5}$ data for various $q_3$ bins, Centrality 10-15%.
$v_{2}$ data for various $q_3$ bins, Centrality 15-20%.
$v_{3}$ data for various $q_3$ bins, Centrality 15-20%.
$v_{4}$ data for various $q_3$ bins, Centrality 15-20%.
$v_{5}$ data for various $q_3$ bins, Centrality 15-20%.
$v_{2}$ data for various $q_3$ bins, Centrality 20-25%.
$v_{3}$ data for various $q_3$ bins, Centrality 20-25%.
$v_{4}$ data for various $q_3$ bins, Centrality 20-25%.
$v_{5}$ data for various $q_3$ bins, Centrality 20-25%.
$v_{2}$ data for various $q_3$ bins, Centrality 25-30%.
$v_{3}$ data for various $q_3$ bins, Centrality 25-30%.
$v_{4}$ data for various $q_3$ bins, Centrality 25-30%.
$v_{5}$ data for various $q_3$ bins, Centrality 25-30%.
$v_{2}$ data for various $q_3$ bins, Centrality 30-35%.
$v_{3}$ data for various $q_3$ bins, Centrality 30-35%.
$v_{4}$ data for various $q_3$ bins, Centrality 30-35%.
$v_{5}$ data for various $q_3$ bins, Centrality 30-35%.
$v_{2}$ data for various $q_3$ bins, Centrality 35-40%.
$v_{3}$ data for various $q_3$ bins, Centrality 35-40%.
$v_{4}$ data for various $q_3$ bins, Centrality 35-40%.
$v_{5}$ data for various $q_3$ bins, Centrality 35-40%.
$v_{2}$ data for various $q_3$ bins, Centrality 40-45%.
$v_{3}$ data for various $q_3$ bins, Centrality 40-45%.
$v_{4}$ data for various $q_3$ bins, Centrality 40-45%.
$v_{5}$ data for various $q_3$ bins, Centrality 40-45%.
$v_{2}$ data for various $q_3$ bins, Centrality 45-50%.
$v_{3}$ data for various $q_3$ bins, Centrality 45-50%.
$v_{4}$ data for various $q_3$ bins, Centrality 45-50%.
$v_{5}$ data for various $q_3$ bins, Centrality 45-50%.
$v_{2}$ data for various $q_3$ bins, Centrality 50-55%.
$v_{3}$ data for various $q_3$ bins, Centrality 50-55%.
$v_{4}$ data for various $q_3$ bins, Centrality 50-55%.
$v_{5}$ data for various $q_3$ bins, Centrality 50-55%.
$v_{2}$ data for various $q_3$ bins, Centrality 55-60%.
$v_{3}$ data for various $q_3$ bins, Centrality 55-60%.
$v_{4}$ data for various $q_3$ bins, Centrality 55-60%.
$v_{5}$ data for various $q_3$ bins, Centrality 55-60%.
$v_{2}$ data for various $q_3$ bins, Centrality 60-65%.
$v_{3}$ data for various $q_3$ bins, Centrality 60-65%.
$v_{4}$ data for various $q_3$ bins, Centrality 60-65%.
$v_{5}$ data for various $q_3$ bins, Centrality 60-65%.
$v_{2}$ data for various $q_3$ bins, Centrality 65-70%.
$v_{3}$ data for various $q_3$ bins, Centrality 65-70%.
$v_{4}$ data for various $q_3$ bins, Centrality 65-70%.
$v_{5}$ data for various $q_3$ bins, Centrality 65-70%.
$v_{2}$ data for various $q_3$ bins, Centrality 0-10%.
$v_{3}$ data for various $q_3$ bins, Centrality 0-10%.
$v_{4}$ data for various $q_3$ bins, Centrality 0-10%.
$v_{5}$ data for various $q_3$ bins, Centrality 0-10%.
$v_{2}$ data for various $q_3$ bins, Centrality 10-20%.
$v_{3}$ data for various $q_3$ bins, Centrality 10-20%.
$v_{4}$ data for various $q_3$ bins, Centrality 10-20%.
$v_{5}$ data for various $q_3$ bins, Centrality 10-20%.
$v_{2}$ data for various $q_3$ bins, Centrality 20-30%.
$v_{3}$ data for various $q_3$ bins, Centrality 20-30%.
$v_{4}$ data for various $q_3$ bins, Centrality 20-30%.
$v_{5}$ data for various $q_3$ bins, Centrality 20-30%.
$v_{2}$ data for various $q_3$ bins, Centrality 30-40%.
$v_{3}$ data for various $q_3$ bins, Centrality 30-40%.
$v_{4}$ data for various $q_3$ bins, Centrality 30-40%.
$v_{5}$ data for various $q_3$ bins, Centrality 30-40%.
$v_{2}$ data for various $q_3$ bins, Centrality 40-50%.
$v_{3}$ data for various $q_3$ bins, Centrality 40-50%.
$v_{4}$ data for various $q_3$ bins, Centrality 40-50%.
$v_{5}$ data for various $q_3$ bins, Centrality 40-50%.
$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{2}$ correlation within each centrality.
$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{2}$ correlation within each centrality.
$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{2}$ correlation within each centrality.
$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{2}$ correlation within each centrality.
$v_{2}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{2}$ correlation within each centrality.
$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{3}$ correlation within each centrality.
$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{3}$ correlation within each centrality.
$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{3}$ correlation within each centrality.
$v_{3}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{3}$ correlation within each centrality.
$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.
$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.
$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.
$v_{2}$ - $v_{3}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{3}$ correlation for various q2 bins within each centrality.
linear fit result of $v_{2}$ - $v_{3}$ correlation within each centrality.
$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.
$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.
$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.
$v_{3}$ - $v_{2}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{2}$ correlation for various q3 bins within each centrality.
$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.
$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.
$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.
$v_{2}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{4}$ correlation for various q2 bins within each centrality.
$v_{3}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{4}$ correlation within each centrality.
$v_{3}$ - $v_{4}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{4}$ correlation within each centrality.
$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.
$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.
$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.
$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.
$v_4$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.
$v_5$ decomposed into linear and nonlinear contributions based on q2 event-shape selection.
$v_5$ decomposed into linear and nonlinear contributions based on q3 event-shape selection.
RMS eccentricity scaled v_n.
RMS eccentricity scaled v_n.
$v_{2}$ - $v_{5}$ inclusive correlation in 5% centrality intervals.
$v_{2}$ - $v_{5}$ correlation for various q2 bins within each centrality.
$v_{3}$ - $v_{5}$ inclusive correlation in 5% centrality intervals.
$v_{3}$ - $v_{5}$ correlation for various q2 bins within each centrality.
Charged-particle spectra obtained in 0.15 nb${}^{-1}$ of Pb+Pb interactions at $\sqrt{{s}_\mathsf{{NN}}}=2.76$TeV and 4.2 pb${}^{-1}$ of pp interactions at $\sqrt{s}=2.76$ TeV with the ATLAS detector at the LHC are presented in a wide transverse momentum ($0.5 < p_{\mathrm{T}} < 150$ GeV) and pseudorapidity ($|\eta|<2$) range. For Pb+Pb collisions, the spectra are presented as a function of collision centrality, which is determined by the response of the forward calorimeter located on both sides of the interaction point. The nuclear modification factors $R_{\mathrm{AA}}$ and $R_{\mathrm{CP}}$ are presented in detail as function of centrality, $p_{\mathrm{T}}$ and $\eta$. They show a distinct $p_{\mathrm{T}}$-dependence with a pronounced minimum at about 7 GeV. Above 60 GeV, $R_{\mathrm{AA}}$ is consistent with a plateau at a centrality-dependent value, within the uncertainties. The value is $0.55\pm0.01(stat.)\pm0.04(syst.)$ in the most central collisions. The $R_{\mathrm{AA}}$ distribution is consistent with flat $|\eta|$ dependence over the whole transverse momentum range in all centrality classes.
Charged-particle spectra in different centrality intervals for Pb+Pb.
Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).
Charged-particle spectra in different centrality intervals for Pb+Pb.
Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).
Charged-particle spectra in different centrality intervals for Pb+Pb.
Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).
Charged-particle spectra in different centrality intervals for Pb+Pb.
Charged-particle spectra in different centrality intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Rcp in different centrality intervals.
Rcp in different centrality intervals (not shown in Fig. 12).
Rcp in different centrality intervals.
Rcp in different centrality intervals (not shown in Fig. 12).
Rcp in different centrality intervals.
Rcp in different centrality intervals (not shown in Fig. 12).
Rcp in different centrality intervals.
Raa in different centrality intervals.
Raa in different centrality intervals (not shown in Fig. 13).
Raa in different centrality intervals.
Raa in different centrality intervals (not shown in Fig. 13).
Raa in different centrality intervals.
Raa in different centrality intervals (not shown in Fig. 13).
Raa in different centrality intervals.
Raa in different centrality intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa.
Raa as a function of <Npart>.
Raa as a function of <Npart>.
Raa as a function of <Npart>.
Raa as a function of <Npart>.
Charged-particle spectra in different eta intervals for pp.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for pp.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for pp.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for pp.
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).
Charged-particle spectra in different eta intervals for Pb+Pb.
Charged-particle spectra in different eta intervals for Pb+Pb.
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals (not shown in Fig. 18).
Raa in different eta intervals.
Raa in different eta intervals.
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.
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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Differential measurements of charged particle azimuthal anisotropy are presented for lead-lead collisions at sqrt(s_NN) = 2.76 TeV with the ATLAS detector at the LHC, based on an integrated luminosity of approximately 8 mb^-1. This anisotropy is characterized via a Fourier expansion of the distribution of charged particles in azimuthal angle (phi), with the coefficients v_n denoting the magnitude of the anisotropy. Significant v_2-v_6 values are obtained as a function of transverse momentum (0.5<pT<20 GeV), pseudorapidity (|eta|<2.5) and centrality using an event plane method. The v_n values for n>=3 are found to vary weakly with both eta and centrality, and their pT dependencies are found to follow an approximate scaling relation, v_n^{1/n}(pT) \propto v_2^{1/2}(pT). A Fourier analysis of the charged particle pair distribution in relative azimuthal angle (Dphi=phi_a-phi_b) is performed to extract the coefficients v_{n,n}=<cos (n Dphi)>. For pairs of charged particles with a large pseudorapidity gap (|Deta=eta_a-eta_b|>2) and one particle with pT<3 GeV, the v_{2,2}-v_{6,6} values are found to factorize as v_{n,n}(pT^a,pT^b) ~ v_n(pT^a)v_n(pT^b) in central and mid-central events. Such factorization suggests that these values of v_{2,2}-v_{6,6} are primarily due to the response of the created matter to the fluctuations in the geometry of the initial state. A detailed study shows that the v_{1,1}(pT^a,pT^b) data are consistent with the combined contributions from a rapidity-even v_1 and global momentum conservation. A two-component fit is used to extract the v_1 contribution. The extracted v_1 is observed to cross zero at pT\sim1.0 GeV, reaches a maximum at 4-5 GeV with a value comparable to that for v_3, and decreases at higher pT.
The EP Resolution Factor vs. Centrality for n values from2 to 6.
The Chi Reolution Factor vs. Centrality for n values from 2 to 6.
The one-dimensional Delta(PHI) correlation function vs Delta(PHI) for |DETARAP| in the range 2 to 5 summed over all n values from 1 to 6.
The Fourier coefficient V_n,n vs. |Delta(ETARAP)| for individual n values.
The Fourier coefficient V_n vs. |Delta(ETARAP)| from the 2PC anaysis for individual n values from 2 to n.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 0 TO 5%.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 5 TO 10%.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 10 TO 20%.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 20 TO 30%.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 30 TO 40%.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 40 TO 50%.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 50 TO 60%.
The Fourier coefiiciant V_n vs eta for PT 0.5 TO 1 GeV and centrality 60 TO 70%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 0 TO 5%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 5 TO 10%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 10 TO 20%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 20 TO 30%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 30 TO 40%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 40 TO 50%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 50 TO 60%.
The Fourier coefiiciant V_n vs eta for PT 1 TO 2 GeV and centrality 60 TO 70%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 0 TO 5%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 5 TO 10%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 10 TO 20%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 20 TO 30%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 30 TO 40%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 40 TO 50%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 50 TO 60%.
The Fourier coefiiciant V_n vs eta for PT 2 TO 3 GeV and centrality 60 TO 70%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 0 TO 5%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 5 TO 10%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 10 TO 20%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 20 TO 30%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 30 TO 40%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 40 TO 50%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 50 TO 60%.
The Fourier coefiiciant V_n vs eta for PT 3 TO 4 GeV and centrality 60 TO 70%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 0 TO 5%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 5 TO 10%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 10 TO 20%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 20 TO 30%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 30 TO 40%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 40 TO 50%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 50 TO 60%.
The Fourier coefiiciant V_n vs eta for PT 4 TO 8 GeV and centrality 60 TO 70%.
V_n vs PT for centrality 0 TO 5%.
V_n vs PT for centrality 5 TO 10%.
V_n vs PT for centrality 10 TO 20%.
V_n vs PT for centrality 20 TO 30%.
V_n vs PT for centrality 30 TO 40%.
V_n vs PT for centrality 40 TO 50%.
V_n vs PT for centrality 50 TO 60%.
V_n vs PT for centrality 60 TO 70%.
V_n vs Centrality for PT 1 TO 2 GeV.
V_n vs Centrality for PT 2 TO 3 GeV.
V_n vs Centrality for PT 3 TO 4 GeV.
V_n vs Centrality for PT 4 TO 8 GeV.
V_n vs Centrality for PT 8 TO 12 GeV.
V_n vs Centrality for PT 12 TO 20 GeV.
2PC.V_n vs n for Centrality 0 TO 1 %.
2PC.V_n vs n for Centrality 0 TO 5 %.
2PC.V_n vs n for Centrality 5 TO 10 %.
2PC.V_n vs n for Centrality 0 TO 10 %.
2PC.V_n vs n for Centrality 10 TO 20 %.
2PC.V_n vs n for Centrality 20 TO 30 %.
2PC.V_n vs n for Centrality 30 TO 40 %.
2PC.V_n vs n for Centrality 40 TO 50 %.
2PC.V_n vs n for Centrality 50 TO 60 %.
2PC.V_n vs n for Centrality 60 TO 70 %.
2PC.V_n vs n for Centrality 70 TO 80 %.
V_nn vs n for Centrality 0 TO 1 %.
V_nn vs n for Centrality 0 TO 5 %.
V_nn vs n for Centrality 5 TO 10 %.
V_nn vs n for Centrality 0 TO 10 %.
V_nn vs n for Centrality 10 TO 20 %.
V_nn vs n for Centrality 20 TO 30 %.
V_nn vs n for Centrality 30 TO 40 %.
V_nn vs n for Centrality 40 TO 50 %.
V_nn vs n for Centrality 50 TO 60 %.
V_nn vs n for Centrality 60 TO 70 %.
V_nn vs n for Centrality 70 TO 80 %.
correlation funcitons in various pT bins.
correlation funcitons in various pT bins.
correlation funcitons in various pT bins.
correlation funcitons in various pT bins.
v_{1,1} vs eta for different combinations of pTa and pTb. Figure 18.
v_{1,1} vs eta for different combinations of pTa and pTb. Figure 18.
v_{1,1} vs eta for different combinations of pTa and pTb. Figure 18.
v_{1,1} vs eta for different combinations of pTa and pTb. Figure 18.
v_{1} vs pT for different centrality selections, Figure 21.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_n extracted from 2PC method utilizing the factorization relation.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
v_ vs pta for various centrality pta combinations.
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.
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.
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.
$v_{2}$, $v_{3}$, $v_{4}$ 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.
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