Showing **10** of **13** results

- Yang, Yi 14
- Aad, Georges 13
- Abramowicz, Halina 13
- Abreu, Henso 13
- Acharya, Bobby Samir 13
- Adelman, Jahred 13
- Adye, Tim 13
- Aielli, Giulio 13
- Akimov, Andrei 13
- Albert, Justin 13
- Aleksa, Martin 13
- Alexa, Calin 13
- Alexopoulos, Theodoros 13
- Alhroob, Muhammad 13
- Alimonti, Gianluca 13
- Aloisio, Alberto 13
- Alviggi, Mariagrazia 13
- Amelung, Christoph 13
- Anastopoulos, Christos 13
- Andreazza, Attilio 13

The
ATLAS
collaboration
Aad, Georges
;
Abbott, Braden Keim
;
Abeling, Kira
;
*et al. *

JHEP 07 (2023) 074, 2023.

https://inspirehep.net/literature/2601282
Inspire Record
2601282
DOI
10.17182/hepdata.135676
https://doi.org/10.17182/hepdata.135676
This paper presents measurements of charged-hadron spectra obtained in $pp$, $p$+Pb, and Pb+Pb collisions at $\sqrt{s}$ or $\sqrt{s_{_\text{NN}}}=5.02$ TeV, and in Xe+Xe collisions at $\sqrt{s_{_\text{NN}}}=5.44$ TeV. The data recorded by the ATLAS detector at the LHC have total integrated luminosities of 25 pb${}^{-1}$, 28 nb${}^{-1}$, 0.50 nb${}^{-1}$, and 3 $\mu$b${}^{-1}$, respectively. The nuclear modification factors $R_{p\text{Pb}}$ and $R_\text{AA}$ are obtained by comparing the spectra in heavy-ion and $pp$ collisions in a wide range of charged-particle transverse momenta and pseudorapidity. The nuclear modification factor $R_{p\text{Pb}}$ shows a moderate enhancement above unity with a maximum at $p_{\mathrm{T}} \approx 3$ GeV; the enhancement is stronger in the Pb-going direction. The nuclear modification factors in both Pb+Pb and Xe+Xe collisions feature a significant, centrality-dependent suppression. They show a similar distinct $p_{\mathrm{T}}$-dependence with a local maximum at $p_{\mathrm{T}} \approx 2$ GeV and a local minimum at $p_{\mathrm{T}} \approx 7$ GeV. This dependence is more distinguishable in more central collisions. No significant $|\eta|$-dependence is found. A comprehensive comparison with several theoretical predictions is also provided. They typically describe $R_\text{AA}$ better in central collisions and in the $p_{\mathrm{T}}$ range from about 10 to 100 GeV.

0
data tables

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

Eur.Phys.J.C 78 (2018) 997, 2018.

https://inspirehep.net/literature/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 $\sqrt{s_\mathrm{NN}} = 5.02$ 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 $

138
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%

Version 2

Measurement of charged-particle spectra in Pb+Pb collisions at $\sqrt{{s}_\mathsf{{NN}}} = 2.76$ TeV with the ATLAS detector at the LHC
The
ATLAS
collaboration
Aad, Georges
;
Abbott, Brad
;
Abdallah, Jalal
;
*et al. *

JHEP 09 (2015) 050, 2015.

https://inspirehep.net/literature/1360290
Inspire Record
1360290
DOI
10.17182/hepdata.67531
https://doi.org/10.17182/hepdata.67531
Charged-particle spectra obtained in 0.15 nb${}^{-1}$ of Pb+Pb interactions at $\sqrt{{s}_\mathsf{{NN}}}=2.76$TeV and 4.2 pb${}^{-1}$ of pp interactions at $\sqrt{s}=2.76$ TeV with the ATLAS detector at the LHC are presented in a wide transverse momentum ($0.5 < p_{\mathrm{T}} < 150$ GeV) and pseudorapidity ($|\eta|<2$) range. For Pb+Pb collisions, the spectra are presented as a function of collision centrality, which is determined by the response of the forward calorimeter located on both sides of the interaction point. The nuclear modification factors $R_{\mathrm{AA}}$ and $R_{\mathrm{CP}}$ are presented in detail as function of centrality, $p_{\mathrm{T}}$ and $\eta$. They show a distinct $p_{\mathrm{T}}$-dependence with a pronounced minimum at about 7 GeV. Above 60 GeV, $R_{\mathrm{AA}}$ is consistent with a plateau at a centrality-dependent value, within the uncertainties. The value is $0.55\pm0.01(stat.)\pm0.04(syst.)$ in the most central collisions. The $R_{\mathrm{AA}}$ distribution is consistent with flat $|\eta|$ dependence over the whole transverse momentum range in all centrality classes.

121
data tables

Charged-particle spectra for pp.

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different centrality intervals for Pb+Pb (not shown in Fig. 10).

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different centrality intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Rcp in different centrality intervals.

Rcp in different centrality intervals (not shown in Fig. 12).

Rcp in different centrality intervals.

Rcp in different centrality intervals (not shown in Fig. 12).

Rcp in different centrality intervals.

Rcp in different centrality intervals (not shown in Fig. 12).

Rcp in different centrality intervals.

Raa in different centrality intervals.

Raa in different centrality intervals (not shown in Fig. 13).

Raa in different centrality intervals.

Raa in different centrality intervals (not shown in Fig. 13).

Raa in different centrality intervals.

Raa in different centrality intervals (not shown in Fig. 13).

Raa in different centrality intervals.

Raa in different centrality intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa.

Raa as a function of <Npart>.

Raa as a function of <Npart>.

Raa as a function of <Npart>.

Raa as a function of <Npart>.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for pp.

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb (not shown in Fig. 17).

Charged-particle spectra in different eta intervals for Pb+Pb.

Charged-particle spectra in different eta intervals for Pb+Pb.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals (not shown in Fig. 18).

Raa in different eta intervals.

Raa in different eta intervals.

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

Phys.Rev.C 92 (2015) 034903, 2015.

https://inspirehep.net/literature/1357991
Inspire Record
1357991
DOI
10.17182/hepdata.68950
https://doi.org/10.17182/hepdata.68950
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.

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. *

Phys.Rev.C 90 (2014) 044906, 2014.

https://inspirehep.net/literature/1315325
Inspire Record
1315325
DOI
10.17182/hepdata.66357
https://doi.org/10.17182/hepdata.66357
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.

0
data tables

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

Eur.Phys.J.C 74 (2014) 3157, 2014.

https://inspirehep.net/literature/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 $\sqrt{s_{NN}}=2.76$ TeV are shown using a dataset of approximately 7 $\mu$b$^{-1}$ collected at the LHC in 2010. The measurements are performed for charged particles with transverse momenta $0.5<p_T<20$ GeV and in the pseudorapidity range $|\eta|<2.5$. The anisotropy is characterized by the Fourier coefficients, $v_n$, of the charged-particle azimuthal angle distribution for n = 2-4. The Fourier coefficients are evaluated using multi-particle cumulants calculated with the generating function method. Results on the transverse momentum, pseudorapidity and centrality dependence of the $v_n$ coefficients are presented. The elliptic flow, $v_2$, is obtained from the two-, four-, six- and eight-particle cumulants while higher-order coefficients, $v_3$ and $v_4$, are determined with two- and four-particle cumulants. Flow harmonics $v_n$ measured with four-particle cumulants are significantly reduced compared to the measurement involving two-particle cumulants. A comparison to $v_n$ measurements obtained using different analysis methods and previously reported by the LHC experiments is also shown. Results of measurements of flow fluctuations evaluated with multi-particle cumulants are shown as a function of transverse momentum and the collision centrality. Models of the initial spatial geometry and its fluctuations fail to describe the flow fluctuations measurements.

220
data tables

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 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 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 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>.