Azimuthal anisotropy of charged particles with transverse momentum up to 100 GeV/ c in PbPb collisions at $\sqrt {s}_{{NN}}$=5.02 TeV - INSPIRE

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Azimuthal anisotropy of charged particles with transverse momentum up to 100 GeV/ c in PbPb collisions at $\sqrt {s}_{{NN}}$ =5.02 TeV

CMS

Collaboration

Feb 2, 2017

22 pages

Published in:

Phys.Lett.B 776 (2018) 195-216

Published: Jan 10, 2018

e-Print:

1702.00630 [hep-ex]

DOI:

10.1016/j.physletb.2017.11.041

Report number:

CMS-HIN-15-014,
CERN-EP-2017-001

Experiments:

CERN-LHC-CMS

View in:

reference search136 citations

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Abstract: (Elsevier)

The Fourier coefficients v2 and v3 characterizing the anisotropy of the azimuthal distribution of charged particles produced in PbPb collisions at sNN=5.02 TeV are measured with data collected by the CMS experiment. The measurements cover a broad transverse momentum range, 110 GeV/c range, where anisotropic azimuthal distributions should reflect the path-length dependence of parton energy loss in the created medium. Results are presented in several bins of PbPb collision centrality, spanning the 60% most central events. The v2 coefficient is measured with the scalar product and the multiparticle cumulant methods, which have different sensitivities to initial-state fluctuations. The values from both methods remain positive up to pT∼60–80 GeV/c , in all examined centrality classes. The v3 coefficient, only measured with the scalar product method, tends to zero for pT≳20 GeV/c . Comparisons between theoretical calculations and data provide new constraints on the path-length dependence of parton energy loss in heavy ion collisions and highlight the importance of the initial-state fluctuations.

Note:

Replaced with the published version. Added the journal reference and the DOI. All the figures and tables can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/HIN-15-014

CMS
QGP
High- pT
Flow
Parton energy loss
Jet quenching
charged particle: multiple production
angular distribution: anisotropy
initial state: fluctuation
path length: dependence

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