Gardim, FG;
Grassi, F;
Luzum, M;
Noronha-Hostler, J;
(2017)
Hydrodynamic predictions for mixed harmonic correlations in 200 GeV Au+ Au collisions.
Physical Review C
, 95
(3)
, Article 034901. 10.1103/PhysRevC.95.034901.
Preview |
Text
PhysRevC.95.034901.pdf - Published Version Download (900kB) | Preview |
Abstract
Recent measurements at the Large Hadron Collider involve the correlation of different azimuthal flow harmonics vn. These new observables add constraints to theoretical models and probe aspects of the system that are independent of traditional single-harmonic measurements such as two-particle and multiparticle cumulants vn{m}. Many of these new observables have not yet been measured at the Relativistic Heavy Ion Collider (RHIC), leaving an opportunity to make predictions as a test of models across energies. We make predictions using NEXSPHERIO, a hydrodynamical model which has accurately reproduced a large set of single-harmonic correlations in a large range of transverse momenta and centralities at RHIC. Our predictions thus provide an important baseline for comparison to correlations of flow harmonics, which contain nontrivial information about the initial state as well as quark-gluon plasma transport properties. We also point out significant biases that can appear when using wide centrality bins and nontrivial event weighting, necessitating care in performing experimental analyses and in comparing theoretical calculations to these measurements.
Type: | Article |
---|---|
Title: | Hydrodynamic predictions for mixed harmonic correlations in 200 GeV Au+ Au collisions |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1103/PhysRevC.95.034901 |
Publisher version: | https://doi.org/10.1103/PhysRevC.95.034901 |
Language: | English |
Additional information: | This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10058242 |
Archive Staff Only
![]() |
View Item |