Speaker
Description
Event-by-event participant geometry fluctuations are studied by measuring the distributions of event-by-event flow harmonics $p(v_{n})$. Insight as to the nature of these fluctuations is obtained by calculating from $p(v_{n})$ the cumulants and moments associated with the event shape. Flow harmonic distributions in PbPb collisions at $\sqrt{s_{NN}} = 5.02$ TeV are measured for the integrated $p_{T}$ ($\eta$) range $0.3 \leq p_{T} \leq 3.0$ GeV/c ($|\eta| \leq 2.4$) using the CMS detector at the LHC. The event-shape engineering technique is used to further divide events into classes based on their ellipticity, which allows for the study of detailed correlations between initial-shape components that would otherwise be destroyed by event-averaging techniques. Hydrodynamic models predict the $2^{nd}$ order participant eccentricity distributions to have a negative skewness, which is identified as the main source of non-Gaussian behavior in $p(v_{2})$ distributions. The skewness for $p(v_{2})$ distributions is measured with high precision over the full centrality range. In addition, $p(v_{n})$ distributions are fitted with an elliptic power law parameterization to infer the proportionality constant between the flow harmonics and the initial-state geometry. Furthermore, correlations between different order harmonics are measured using the event-shape selection technique.
| Preferred Track | Collective Dynamics |
|---|---|
| Collaboration | CMS |
