Showing 10 of 12 results
We report systematic measurements of bulk properties of the system created in Au+Au collisions at $\sqrt{s_{\mathrm{NN}}}$ = 14.5 GeV recorded by the STAR detector at the Relativistic Heavy Ion Collider (RHIC).The transverse momentum spectra of $\pi^{\pm}$, $K^{\pm}$ and $p(\bar{p})$ are studied at mid-rapidity ($|y| < 0.1$) for nine centrality intervals. The centrality, transverse momentum ($p_T$),and pseudorapidity ($\eta$) dependence of inclusive charged particle elliptic flow ($v_2$), and rapidity-odd charged particles directed flow ($v_{1}$) results near mid-rapidity are also presented. These measurements are compared with the published results from Au+Au collisions at other energies, and from Pb+Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ = 2.76 TeV. The results at $\sqrt{s_{\mathrm{NN}}}$ = 14.5 GeV show similar behavior as established at other energies and fit well in the energy dependence trend. These results are important as the 14.5 GeV energy fills the gap in $\mu_B$, which is of the order of 100 MeV,between $\sqrt{s_{\mathrm{NN}}}$ =11.5 and 19.6 GeV. Comparisons of the data with UrQMD and AMPT models show poor agreement in general.
The $p_{T}$ spectra of proton measured at midrapidity (|y|<0.1) in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV. Spectra are plotted for nine centrality classes, with some spectra multiplied by a scale factor to improve clarity, as indicated in the legend
The $p_{T}$ spectra of antiproton measured at midrapidity (|y|<0.1) in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV. Spectra are plotted for nine centrality classes, with some spectra multiplied by a scale factor to improve clarity, as indicatedin the legend
The $p_{T}$ spectra of $\pi^{+}$ measured at midrapidity (|y|<0.1) in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV. Spectra are plotted for nine centrality classes, with some spectra multiplied by a scale factor to improve clarity, as indicatedin the legend
The $p_{T}$ spectra of $\pi^{-}$ measured at midrapidity (|y|<0.1) in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV. Spectra are plotted for nine centrality classes, with some spectra multiplied by a scale factor to improve clarity, as indicatedin the legend
The $p_{T}$ spectra of $K^{+}$ measured at midrapidity (|y|<0.1) in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV. Spectra are plotted for nine centrality classes, with some spectra multiplied by a scale factor to improve clarity, as indicatedin the legend
The $p_{T}$ spectra of $K^{-}$ measured at midrapidity (|y|<0.1) in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV. Spectra are plotted for nine centrality classes, with some spectra multiplied by a scale factor to improve clarity, as indicatedin the legend
Average $p_{T}$ of $\pi^{+}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Average $p_{T}$ of $\pi^{-}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Average $p_{T}$ of $K^{+}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Average $p_{T}$ of $K^{-}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$= 14.5 GeV.
Average $p_{T}$ of p as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Average $p_{T}$ of p-bar as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
dN/dy of $\pi^{+}$ scaled by 0.5*$N_{part}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
dN/dy of $\pi^{-}$ scaled by 0.5*$N_{part}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
dN/dy of $K^{+}$ scaled by 0.5*$N_{part}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
dN/dy of $K^{-}$ scaled by 0.5*$N_{part}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
dN/dy of proton scaled by 0.5*$N_{part}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
dN/dy of p-bar scaled by 0.5*$N_{part}$ as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Kinetic freeze-out temperature as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Velocity as a function of number of participant for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
The event plane resolution calculated for Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV as a function of centrality.
Inclusive charged particle elliptic flow v2 at mid-pseudorapidity (|y| <1.0) as a function of $p_{T}$ for 10-20% centrality in Au + Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Inclusive charged particle elliptic flow v2 at mid-pseudorapidity (|y| <1.0) as a function of $p_{T}$ for 20-30% centrality in Au + Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Inclusive charged particle elliptic flow v2 at mid-pseudorapidity (|y| <1.0) as a function of $p_{T}$ for 30-40% centrality in Au + Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Inclusive charged particle elliptic flow v2 at mid-pseudorapidity (|y| <1.0) as a function of transverse momentum $p_{T}$ for six centrality classes, obtained using the $\eta$-sub event plane method in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Inclusive charged particle elliptic flow v2 at mid-pseudorapidity (|y| <1.0) as a function of $p_{T}$-integrated v2($\eta$) for six centrality classes, obtained using the $\eta$-sub event plane method in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
The ratio inclusive charged particle elliptic flow v2 over root-mean-square participant eccentricity $Epart_{2}$ at mid-pseudorapidity as a function of $p_{T}$ for 10–20%, 30–40%, and 50–60% collision centralities in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV.
Summary of centrality bins, average number of participants $N_{part}$, number of binary collisions $N_{coll}$, reaction plane eccentricity eRP, participant eccentricity epart, root-mean-square of the participant eccentricity epart{2}, and transverse area $S_{part}$ from MC Glauber simulations at $\sqrt{s_{NN}}$ = 14.5 GeV.
The inclusive charged particle elliptic flow v2($\eta$-sub) versus pseudorapidity $\eta$ at mid-pseudorapidity for $\sqrt{s_{NN}}$ = 14.5 GeV.
Rapidity-odd charged particles directed flow v1 as a function of $p_{T}$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of $p_{T}$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 11.5 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of $p_{T}$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of $p_{T}$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of $p_{T}$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 27.0 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of $p_{T}$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 39.0 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of pseudorapidity $\eta$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of pseudorapidity $\eta$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 11.5 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of pseudorapidity $\eta$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 14.5 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of pseudorapidity $\eta$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 19.6 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of pseudorapidity $\eta$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 27.0 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of pseudorapidity $\eta$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 39.0 GeV for 0–10%, 10–40% and 40–80% centrality intervals.
Rapidity-odd charged particles directed flow v1 as a function of pseudorapidity $\eta$ in Au+Au collisions at $\sqrt{s_{NN}}$ = 7.7 – 39 GeV for 30-60% centrality intervals.
Measurements of the azimuthal anisotropy in lead-lead collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV are presented using a data sample corresponding to 0.49 $\mathrm{nb}^{-1}$ integrated luminosity collected by the ATLAS experiment at the LHC in 2015. The recorded minimum-bias sample is enhanced by triggers for "ultra-central" collisions, providing an opportunity to perform detailed study of flow harmonics in the regime where the initial state is dominated by fluctuations. The anisotropy of the charged-particle azimuthal angle distributions is characterized by the Fourier coefficients, $v_{2}-v_{7}$, which are measured using the two-particle correlation, scalar-product and event-plane methods. The goal of the paper is to provide measurements of the differential as well as integrated flow harmonics $v_{n}$ over wide ranges of the transverse momentum, 0.5 $
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 5-10%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-20%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-30%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-40%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-50%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 60-70%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 70-80%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 5-10%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-20%
The ratio of V6{SP} over V6{EP} as a funtion of transverse momentum in centrality bin 20-30%
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
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.
Measurements of two-particle correlation functions and the first five azimuthal harmonics, $v_1$ to $v_5$, are presented, using 28 $\mathrm{nb}^{-1}$ of $p$+Pb collisions at a nucleon-nucleon center-of-mass energy of $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV measured with the ATLAS detector at the LHC. Significant long-range "ridge-like" correlations are observed for pairs with small relative azimuthal angle ($|\Delta\phi|<\pi/3$) and back-to-back pairs ($|\Delta\phi| > 2\pi/3$) over the transverse momentum range $0.4 < p_{\rm T} < 12$ GeV and in different intervals of event activity. The event activity is defined by either the number of reconstructed tracks or the total transverse energy on the Pb-fragmentation side. The azimuthal structure of such long-range correlations is Fourier decomposed to obtain the harmonics $v_n$ as a function of $p_{\rm T}$ and event activity. The extracted $v_n$ values for $n=2$ to 5 decrease with $n$. The $v_2$ and $v_3$ values are found to be positive in the measured $p_{\rm T}$ range. The $v_1$ is also measured as a function of $p_{\rm T}$ and is observed to change sign around $p_{\rm T}\approx 1.5$-2.0 GeV and then increase to about 0.1 for $p_{\rm T}>4$ GeV. The $v_2(p_{\rm T})$, $v_3(p_{\rm T})$ and $v_4(p_{\rm T})$ are compared to the $v_n$ coefficients in Pb+Pb collisions at $\sqrt{s_{\mathrm{NN}}} =2.76$ TeV with similar event multiplicities. Reasonable agreement is observed after accounting for the difference in the average $p_{\rm T}$ of particles produced in the two collision systems.
The distributions of $N_{ch}^{rec}$ for MB and MB+HMT after applying an event-by-event weight, errors are statistical.
The distributions of $E_{T}^{Pb}$ [GeV] for MB and MB+HMT after applying an event-by-event weight, errors are statistical.
Per-trigger yield in 2D, $Y$($\Delta\phi$,$\Delta\eta$), for events with $E_{T}^{Pb} <$ 10 GeV and $N_{ch}^{rec} \geq$ 200 and recoil-subtracted per-trigger yield, $Y^{sub}$($\Delta\phi$,$\Delta\eta$) for events with $N_{ch}^{rec} \geq$ 200. Errors are statistical.
$v_{2,2}^{unsub}$ and $v_{2,2}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.
$v_{3,3}^{unsub}$ and $v_{3,3}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.
$v_{4,4}^{unsub}$ and $v_{4,4}$ as a function of $\Delta\eta$ calculated from the 2-D per-trigger yields in figure 4(a) and 4(b), respectively.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
The per-trigger yield distributions $Y^{corr}(\Delta\phi)$ and $Y^{recoil}(\Delta\phi)$ for events with $N_{ch}^{rec} \geq$ 220 in the long-range region $|\Delta\eta| >$ 2.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the near-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
Integrated per-trigger yield, $Y_{int}$, on the away-side as a function of $p_{T}^{a}$ for 1 $< p_{T}^{b} <$ 3 GeV.
The integrated per-trigger yield, Y_{int}, on the near-side, the away-side and their difference and Y_{int} from the recoil as a function of event activity. Errors are statistical.
The integrated per-trigger yield, Y_{int}, on the near-side, the away-side and their difference and Y_{int} from the recoil as a function of event activity. Errors are statistical.
The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.
The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.
The Fourier coefficients $v_{n}$ as a function of $p_{T}^{a}$ extracted from the correlation functions, before and after the subtraction of the recoil component.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
$v_{2}$, $v_{3}$, $v_{4}$ and $v_{5}$ as a function of $p_T^a$ for 1 $< p_{T}^{b} <$ 3 GeV for different $N_{ch}^{rec}$ intervals.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{2}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The values of factorization variable $r_{3}$ defined by Eq.(11) before and after the subtraction of the recoil component. Errors are total experimental uncertainties.
The centrality dependence of $v_{2}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{3}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{4}$ as a function of $N_{ch}^{rec}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{2}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{3}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.
The centrality dependence of $v_{4}$ as a function of $E_{T}^{Pb}$. Values from before and after the recoil subtraction are included.
The $v_{2}$ as a function of $E_{T}^{Pb}$ obtained indirectly by mapping from the $N_{ch}^{rec}-dependence of $v_{2}$ using the correlation data shown in Fig. 2(b).
The $v_{3}$ as a function of $E_{T}^{Pb}$ obtained indirectly by mapping from the $N_{ch}^{rec}-dependence of $v_{3}$ using the correlation data shown in Fig. 2(b).
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC before recoil subtraction, $v_{1,1}^{unsub}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic of 2PC after recoil subtraction, $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
The first-order harmonic $v_1$ obtained using factorization from $v_{1,1}$, as a function of $p_T^a$ for different $p_T^b$ ranges for events with $N_{ch}^{rec} \geq$ 220.
$v_{2}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.
$v_{2}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.
$v_{3}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.
$v_{3}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.
$v_{4}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method.
$v_{4}$ for Pb+Pb collisions in 55-60% centrality interval obtained using an EP method, after the scaling.
Correlation between $E_{T}^{FCal}$ and $N_{ch}^{rec}$ for MB events (without weighting) and MB+HMT events (with weighting), errors are statistical.
ATLAS measurements of the azimuthal anisotropy in lead-lead collisions at $\sqrt{s_{NN}}=2.76$ TeV are shown using a dataset of approximately 7 $\mu$b$^{-1}$ collected at the LHC in 2010. The measurements are performed for charged particles with transverse momenta $0.5
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 0-2%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the two-particle cumulants as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 0-2%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the six-particle cumulats as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic measured with the eight-particle cumulats as a function of transverse momentum in centrality bin 60-80%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 40-50%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 10-20%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 20-30%.
The second flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 30-40%.
The triangular flow harmonic measured with the two-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The triangular flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 0-25%.
The triangular flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The triangular flow harmonic measured with the two-particle cumulats as a function of transverse momentum in centrality bin 25-60%.
The triangular flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 25-60%.
The triangular flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 25-60%.
The quadrangular flow harmonic measured with the two-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The quadrangular flow harmonic measured with the Event Plane method as a function of transverse momentum in centrality bin 0-25%.
The quadrangular flow harmonic measured with the four-particle cumulats as a function of transverse momentum in centrality bin 0-25%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 0-2%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the two-particle cumulants as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 0-2%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the six-particle cumulats as a function of pseudorapidity in centrality bin 60-80%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 2-5%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 5-10%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 10-15%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 15-20%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 20-25%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 25-30%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 30-35%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 35-40%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 40-45%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 45-50%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 50-55%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 55-60%.
The second flow harmonic measured with the eight-particle cumulats as a function of pseudorapidity in centrality bin 60-80%.
The triangular flow harmonic measured with the two-particle cumulats as a function of pseudorapidity in centrality bin 0-60%.
The triangular flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 0-60%.
The triangular flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 0-60%.
The quadrangular flow harmonic measured with the two-particle cumulats as a function of pseudorapidity in centrality bin 0-25%.
The quadrangular flow harmonic measured with the Event Plane method as a function of pseudorapidity in centrality bin 0-25%.
The quadrangular flow harmonic measured with the four-particle cumulats as a function of pseudorapidity in centrality bin 0-25%.
The second flow harmonic measured with the two-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the four-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the six-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the eight-particle cumulats as a function of <Npart>.
The ratio of second flow harmonics measured with the six- and four-particle cumulants as a function of <Npart>.
The ratio of second flow harmonics measured with the eight- and four-particle cumulants as a function of <Npart>.
The second flow harmonic measured with the Event Plane method as a function of <Npart>.
The triangular flow harmonic measured with the Event Plane method as a function of <Npart>.
The triangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The triangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The quadrangular flow harmonic measured with the Event Plane method as a function of <Npart>.
The quadrangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The quadrangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic fluctiuations, F(v2), as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic fluctuations, F(v2), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v3), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v4), as a function of <Npart>.
The second flow harmonic measured with the two-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the four-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the six-particle cumulats as a function of <Npart>.
The second flow harmonic measured with the eight-particle cumulats as a function of <Npart>.
The ratio of second flow harmonics measured with the six- and four-particle cumulants as a function of <Npart>.
The ratio of second flow harmonics measured with the eight- and four-particle cumulants as a function of <Npart>.
The triangular flow harmonic measured with the two-particle cumulants as a function of <Npart>.
The quadrangular flow harmonic measured with the Event Plane method as a function of <Npart>.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{EP} and v2{4}, as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 2-5%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 5-10%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 10-15%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 15-20%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 20-25%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 25-30%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 30-35%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 35-40%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 40-45%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 45-50%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 50-55%.
The second flow harmonic fluctiuations, F(v2), calculated from v2{2} and v2{4}, as a function of transverse momentum in centrality bin 55-60%.
The second flow harmonic fluctuations, F(v2), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v3), as a function of <Npart>.
The triangular flow harmonic fluctuations, F(v4), as a function of <Npart>.
Measurements of multi-particle azimuthal correlations (cumulants) for charged particles in p-Pb and Pb-Pb collisions are presented. They help address the question of whether there is evidence for global, flow-like, azimuthal correlations in the p-Pb system. Comparisons are made to measurements from the larger Pb-Pb system, where such evidence is established. In particular, the second harmonic two-particle cumulants are found to decrease with multiplicity, characteristic of a dominance of few-particle correlations in p-Pb collisions. However, when a $|\Delta \eta|$ gap is placed to suppress such correlations, the two-particle cumulants begin to rise at high-multiplicity, indicating the presence of global azimuthal correlations. The Pb-Pb values are higher than the p-Pb values at similar multiplicities. In both systems, the second harmonic four-particle cumulants exhibit a transition from positive to negative values when the multiplicity increases. The negative values allow for a measurement of $v_{2}\{4\}$ to be made, which is found to be higher in Pb-Pb collisions at similar multiplicities. The second harmonic six-particle cumulants are also found to be higher in Pb-Pb collisions. In Pb-Pb collisions, we generally find $v_{2}\{4\} \simeq v_{2}\{6\}\neq 0$ which is indicative of a Bessel-Gaussian function for the $v_{2}$ distribution. For very high-multiplicity Pb-Pb collisions, we observe that the four- and six-particle cumulants become consistent with 0. Finally, third harmonic two-particle cumulants in p-Pb and Pb-Pb are measured. These are found to be similar for overlapping multiplicities, when a $|\Delta\eta| > 1.4$ gap is placed.
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The elliptic flow coefficient ($v_{2}$) of identified particles in Pb-Pb collisions at $\sqrt{s_\mathrm{{NN}}} = 2.76$ TeV was measured with the ALICE detector at the LHC. The results were obtained with the Scalar Product method, a two-particle correlation technique, using a pseudo-rapidity gap of $|\Delta\eta| > 0.9$ between the identified hadron under study and the reference particles. The $v_2$ is reported for $\pi^{\pm}$, $\mathrm{K}^{\pm}$, $\mathrm{K}^0_\mathrm{S}$, p+$\overline{\mathrm{p}}$, $\mathrm{\phi}$, $\Lambda$+$\overline{\mathrm{\Lambda}}$, $\Xi^-$+$\overline{\Xi}^+$ and $\Omega^-$+$\overline{\Omega}^+$ in several collision centralities. In the low transverse momentum ($p_{\mathrm{T}}$) region, $p_{\mathrm{T}} < 2 $GeV/$c$, $v_2(p_\mathrm{T})$ exhibits a particle mass dependence consistent with elliptic flow accompanied by the transverse radial expansion of the system with a common velocity field. The experimental data for $\pi^{\pm}$ and $\mathrm{K}$ are described fairly well by hydrodynamical calculations coupled to a hadronic cascade model (VISHNU) for central collisions. However, the same calculations fail to reproduce the $v_2(p_\mathrm{T})$ for p+$\overline{\mathrm{p}}$, $\mathrm{\phi}$, $\Lambda$+$\overline{\mathrm{\Lambda}}$ and $\Xi^-$+$\overline{\Xi}^+$. For transverse momentum values larger than about 3 GeV/$c$, particles tend to group according to their type, i.e. mesons and baryons. However, the experimental data at the LHC exhibit deviations from the number of constituent quark (NCQ) scaling at the level of $\pm$20$\%$ for $p_{\mathrm{T}} > 3 $GeV/$c$.
Charged pions v2 as a function of pT for centrality: 0-5%.
Charged pions v2 as a function of pT for centrality: 5-10%.
Charged pions v2 as a function of pT for centrality: 10-20%.
Charged pions v2 as a function of pT for centrality: 20-30%.
Charged pions v2 as a function of pT for centrality: 30-40%.
Charged pions v2 as a function of pT for centrality: 40-50%.
Charged pions v2 as a function of pT for centrality: 50-60%.
Charged kaons v2 as a function of pT for centrality: 0-5%.
Charged kaons v2 as a function of pT for centrality: 5-10%.
Charged kaons v2 as a function of pT for centrality: 10-20%.
Charged kaons v2 as a function of pT for centrality: 20-30%.
Charged kaons v2 as a function of pT for centrality: 30-40%.
Charged kaons v2 as a function of pT for centrality: 40-50%.
Charged kaons v2 as a function of pT for centrality: 50-60%.
K0s v2 as a function of pT for centrality: 0-5%.
K0s v2 as a function of pT for centrality: 5-10%.
K0s v2 as a function of pT for centrality: 10-20%.
K0s v2 as a function of pT for centrality: 20-30%.
K0s v2 as a function of pT for centrality: 30-40%.
K0s v2 as a function of pT for centrality: 40-50%.
K0s v2 as a function of pT for centrality: 50-60%.
Average kaons v2 as a function of pT for centrality: 0-5%.
Average kaons v2 as a function of pT for centrality: 5-10%.
Average kaons v2 as a function of pT for centrality: 10-20%.
Average kaons v2 as a function of pT for centrality: 20-30%.
Average kaons v2 as a function of pT for centrality: 30-40%.
Average kaons v2 as a function of pT for centrality: 40-50%.
Average kaons v2 as a function of pT for centrality: 50-60%.
Protons+AntiProtons v2 as a function of pT for centrality: 0-5%.
Protons+AntiProtons v2 as a function of pT for centrality: 5-10%.
Protons+AntiProtons v2 as a function of pT for centrality: 10-20%.
Protons+AntiProtons v2 as a function of pT for centrality: 20-30%.
Protons+AntiProtons v2 as a function of pT for centrality: 30-40%.
Protons+AntiProtons v2 as a function of pT for centrality: 40-50%.
Protons+AntiProtons v2 as a function of pT for centrality: 50-60%.
Phi v2 as a function of pT for centrality: 10-20%.
Phi v2 as a function of pT for centrality: 20-30%.
Phi v2 as a function of pT for centrality: 30-40%.
Phi v2 as a function of pT for centrality: 40-50%.
Phi v2 as a function of pT for centrality: 50-60%.
Lambda+AntiLambda v2 as a function of pT for centrality: 0-5%.
Lambda+AntiLambda v2 as a function of pT for centrality: 5-10%.
Lambda+AntiLambda v2 as a function of pT for centrality: 10-20%.
Lambda+AntiLambda v2 as a function of pT for centrality: 20-30%.
Lambda+AntiLambda v2 as a function of pT for centrality: 30-40%.
Lambda+AntiLambda v2 as a function of pT for centrality: 40-50%.
Lambda+AntiLambda v2 as a function of pT for centrality: 50-60%.
Xi+AntiXi v2 as a function of pT for centrality: 0-5%.
Xi+AntiXi v2 as a function of pT for centrality: 5-10%.
Xi+AntiXi v2 as a function of pT for centrality: 10-20%.
Xi+AntiXi v2 as a function of pT for centrality: 20-30%.
Xi+AntiXi v2 as a function of pT for centrality: 30-40%.
Xi+AntiXi v2 as a function of pT for centrality: 40-50%.
Xi+AntiXi v2 as a function of pT for centrality: 50-60%.
Omega+AntiOmega v2 as a function of pT for centrality: 5-10%.
Omega+AntiOmega v2 as a function of pT for centrality: 10-20%.
Omega+AntiOmega v2 as a function of pT for centrality: 20-30%.
Omega+AntiOmega v2 as a function of pT for centrality: 30-40%.
Omega+AntiOmega v2 as a function of pT for centrality: 40-50%.
Omega+AntiOmega v2 as a function of pT for centrality: 50-60%.
Charged pions v2 as a function of pT for centrality: 20-40%.
Charged pions v2 as a function of pT for centrality: 40-60%.
Average kaons v2 as a function of pT for centrality: 20-40%.
Average kaons v2 as a function of pT for centrality: 40-60%.
Protons+AntiProtons v2 as a function of pT for centrality: 20-40%.
Protons+AntiProtons v2 as a function of pT for centrality: 40-60%.
The integrated elliptic flow of charged particles produced in Pb+Pb collisions at sqrt(s_NN)=2.76 TeV has been measured with the ATLAS detector using data collected at the Large Hadron Collider. The anisotropy parameter, v_2, was measured in the pseudorapidity range |eta| <= 2.5 with the event-plane method. In order to include tracks with very low transverse momentum pT, thus reducing the uncertainty in v_2 integrated over pT, a 1 mu b-1 data sample without a magnetic field in the tracking detectors is used. The centrality dependence of the integrated v_2 is compared to other measurements obtained with higher pT thresholds. A weak pseudorapidity dependence of the integrated elliptic flow is observed for central collisions, and a small decrease when moving away from mid-rapidity is observed only in peripheral collisions. The integrated v2 transformed to the rest frame of one of the colliding nuclei is compared to the lower-energy RHIC data.
Monte Carlo evaluation of the tracklet reconstruction efficiency as a function of pseudorapidity for the 0-10% centraliry interval.
Monte Carlo evaluation of the tracklet reconstruction efficiency as a function of pseudorapidity for the 40-50% centraliry interval.
Monte Carlo evaluation of the tracklet reconstruction efficiency as a function of pseudorapidity for the 70-80% centraliry interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction efficiency for three pseudorapidity ranges in 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the pixel track (PXT) reconstruction fake rate for three pseudorapidity ranges in 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction efficiency for three pseudorapidity ranges in 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the inner detector track (IDT) reconstruction fake rate for three pseudorapidity ranges in 70-80% centrality interval.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 0-10% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 10-20% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 20-30% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 30-40% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 40-50% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 50-60% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 60-70% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Elliptic flow $v_{2}$ integrated over transverse momentum $p_{T}>p_{T,0}$ as a function of $p_{T,0}$ for 70-80% centrality interval, obtained with different charged-particle reconstruction methods: the tracklet (TKT) method with $p_{T,0}=0.07$ GeV, the pixel track (PXT) method with $p_{T,0} \geq 0.1$ GeV and the ID track (IDT) method with $p_{T,0}=0.5$ GeV. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 0-10% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 10-20% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 20-30% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 30-40% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 40-50% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 50-60% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 60-70% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Pseudorapidity dependence of elliptic flow, $v_{2}$, integrated over transverse momentum, $p_{T}$, for different charged particle reconstruction methods and different low-$p_{T}$ thresholds for the 70-80% centrality interval. Error bars indicate statistical and systematic uncertainties added in quadrature.
Integrated elliptic flow, $v_{2}$, as a function of $|\eta| - y_{beam}$ for three centrality intervals Error bars indicate statistical and systematic uncertainties added in quadrature.
The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the TKT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 70-80% centrality interval.
The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 0-10% centrality interval.
The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 40-50% centrality interval.
The transverse momentum, $p_{T}$, dependence of the PXT track reconstruction efficiency for $\pi^{\pm}$, $K^{\pm}$ and $p^{\pm}$ in the pseudorapidity range $|\eta| < 1$ for 70-80% centrality interval.
The production of the prompt charmed mesons $D^0$, $D^+$ and $D^{*+}$ relative to the reaction plane was measured in Pb-Pb collisions at a centre-of-mass energy per nucleon-nucleon collision of $\sqrt{s_{\rm NN}} = 2.76$ TeV with the ALICE detector at the LHC. D mesons were reconstructed via their hadronic decays at central rapidity in the transverse momentum ($p_{\rm T}$) interval of 2-16 GeV/$c$. The azimuthal anisotropy is quantified in terms of the second coefficient $v_2$ in a Fourier expansion of the D meson azimuthal distribution, and in terms of the nuclear modification factor $R_{\rm AA}$, measured in the direction of the reaction plane and orthogonal to it. The $v_2$ coefficient was measured with three different methods and in three centrality classes in the interval 0-50%. A positive $v_2$ is observed in mid-central collisions (30-50% centrality class), with an mean value of $0.204_{-0.036}^{+0.099}$ (tot.unc.) in the interval $2 < p_{\rm T} < 6$ GeV/$c$, which decreases towards more central collisions (10-30% and 0-10% classes). The positive $v_2$ is also reflected in the nuclear modification factor, which shows a stronger suppression in the direction orthogonal to the reaction plane for mid-central collisions. The measurements are compared to theoretical calculations of charm quark transport and energy loss in high-density strongly-interacting matter at high temperature. The models that include substantial elastic interactions with an expanding medium provide a good description of the observed anisotropy. However, they are challenged to simultaneously describe the strong suppression of high-$p_{\rm T}$ yield of D mesons in central collisions and their azimuthal anisotropy in non-central collisions.
Prompt D^0 meson v2 as a function of pT for centrality 0-10%. The first systematic uncertainty is from the data and the second from the B feed-down.
Prompt D^0 meson v2 as a function of pT for centrality 10-30%. The first systematic uncertainty is from the data and the second from the B feed-down.
Prompt D^0 meson v2 as a function of pT for centrality 30-50%. The first systematic uncertainty is from the data and the second from the B feed-down.
Nuclear modification factor RAA of D0 mesons in the 30-50% centrality class in two 90-degree-wide azimuthal intervals centred on the IN-PLANE and on the OUT-OF-PLANE directions. The correlated, uncorrelated, and anti-correlated contributions to the systematic uncertainty are shown separately.
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
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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