Showing **9** of **9** results

The
ATLAS
collaboration
Aaboud, Morad
;
Aad, Georges
;
Abbott, Brad
;
*et al. *

Eur.Phys.J. C78 (2018) 997, 2018.

http://inspirehep.net/record/1686834
Inspire Record
1686834
DOI
10.17182/hepdata.84427
https://doi.org/10.17182/hepdata.84427
Measurements of the azimuthal anisotropy in lead–lead collisions at $\sqrt{s_{_\text {NN}}}$ = 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 $<p_{\mathrm{T}}<$ 60 GeV, the pseudorapidity, $|\eta |<$ 2.5, and the collision centrality 0–80%. Results from different methods are compared and discussed in the context of previous and recent measurements in Pb+Pb collisions at $\sqrt{s_{_\text {NN}}}$ = 2.76 $\mathrm{TeV}$ and 5.02 $\mathrm{TeV}$ . In particular, the shape of the $p_{\mathrm{T}}$ dependence of elliptic or triangular flow harmonics is observed to be very similar at different centralities after scaling the $v_{n}$ and $p_{\mathrm{T}}$ values by constant factors over the centrality interval 0–60% and the $p_{\mathrm{T}}$ range 0.5 $< p_{\mathrm{T}}<$ 5 GeV.

445
data tables

The ratio of V2{SP} over V2{EP} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V2{SP} over V2{EP} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V2{SP} over V2{EP} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V3{SP} over V3{EP} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V3{SP} over V3{EP} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V3{SP} over V3{EP} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V4{SP} over V4{EP} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V4{SP} over V4{EP} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V4{SP} over V4{EP} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V5{SP} over V5{EP} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V5{SP} over V5{EP} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V5{SP} over V5{EP} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V6{SP} over V6{EP} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V6{SP} over V6{EP} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V6{SP} over V6{EP} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V2{SP} over V2{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV

The ratio of V3{SP} over V3{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV

The ratio of V4{SP} over V4{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV

The ratio of V5{SP} over V5{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV

The ratio of V6{SP} over V6{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV

The ratio of V2{SP} over V2{2PC} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V2{SP} over V2{2PC} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V2{SP} over V2{2PC} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V3{SP} over V3{2PC} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V3{SP} over V3{2PC} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V3{SP} over V3{2PC} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V4{SP} over V4{2PC} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V4{SP} over V4{2PC} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V4{SP} over V4{2PC} as a funtion of transverse momentum in centrality bin 40-50%

The ratio of V5{SP} over V5{2PC} as a funtion of transverse momentum in centrality bin 0-5%

The ratio of V5{SP} over V5{2PC} as a funtion of transverse momentum in centrality bin 20-30%

The ratio of V5{SP} over V5{2PC} as a funtion of transverse momentum in centrality bin 40-50%

The scaled-V2(PT) measured with the two particle correlation method in centrality bin 0-5%

The scaled-V2(PT) measured with the two particle correlation method in centrality bin 10-15%

The scaled-V2(PT) measured with the two particle correlation method in centrality bin 20-25%

The scaled-V2(PT) measured with the two particle correlation method in centrality bin 30-35%

The scaled-V2(PT) measured with the two particle correlation method in centrality bin 40-45%

The scaled-V2(PT) measured with the two particle correlation method in centrality bin 50-55%

The scaled-V3(PT) measured with the two particle correlation method in centrality bin 0-5%

The scaled-V3(PT) measured with the two particle correlation method in centrality bin 10-15%

The scaled-V3(PT) measured with the two particle correlation method in centrality bin 20-25%

The scaled-V3(PT) measured with the two particle correlation method in centrality bin 30-35%

The scaled-V3(PT) measured with the two particle correlation method in centrality bin 40-45%

The scaled-V3(PT) measured with the two particle correlation method in centrality bin 50-55%

The PT scale factor for V2(PT) as a funtion of collision centrality

The PT scale factor for V3(PT) as a funtion of collision centrality

The V2 scale factor as a funtion of collision centrality

The V3 scale factor as a funtion of collision centrality

The
ATLAS
collaboration
Aad, Georges
;
Abbott, Brad
;
Abdallah, Jalal
;
*et al. *

Phys.Rev. C92 (2015) 034903, 2015.

http://inspirehep.net/record/1357991
Inspire Record
1357991
DOI
10.17182/hepdata.68950
https://doi.org/10.17182/hepdata.68950
212
data tables

$v_{2}$ 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.

The
ATLAS
collaboration
Aad, Georges
;
Abbott, Brad
;
Abdallah, Jalal
;
*et al. *

Eur.Phys.J. C74 (2014) 3157, 2014.

http://inspirehep.net/record/1311487
Inspire Record
1311487
DOI
10.17182/hepdata.65771
https://doi.org/10.17182/hepdata.65771
ATLAS measurements of the azimuthal anisotropy in lead–lead collisions at $\sqrt{s_{\mathrm {NN}}}=2.76$ TeV are shown using a dataset of approximately 7 $\upmu $ b$^{-1}$ collected at the LHC in 2010. The measurements are performed for charged particles with transverse momenta $0.5<p_{\mathrm {T}}<20$ GeV and in the pseudorapidity range $|\eta |<2.5$ . The anisotropy is characterized by the Fourier coefficients, $\mathrm {v}_n$ , of the charged-particle azimuthal angle distribution for $n = 2$ –4. The Fourier coefficients are evaluated using multi-particle cumulants calculated with the generating function method. Results on the transverse momentum, pseudorapidity and centrality dependence of the $\mathrm {v}_n$ coefficients are presented. The elliptic flow, $\mathrm {v}_2$ , is obtained from the two-, four-, six- and eight-particle cumulants while higher-order coefficients, $\mathrm {v}_3$ and $\mathrm {v}_4$ , are determined with two- and four-particle cumulants. Flow harmonics $\mathrm {v}_n$ measured with four-particle cumulants are significantly reduced compared to the measurement involving two-particle cumulants. A comparison to $\mathrm {v}_n$ measurements obtained using different analysis methods and previously reported by the LHC experiments is also shown. Results of measurements of flow fluctuations evaluated with multi-particle cumulants are shown as a function of transverse momentum and the collision centrality. Models of the initial spatial geometry and its fluctuations fail to describe the flow fluctuations measurements.

220
data tables