Quark Matter 2014 - XXIV International Conference on Ultrarelativistic Nucleus-Nucleus Collisions

Factorization breakdown of two-particle correlations and flow phenomena in pPb and PbPb collisions with CMS

20 May 2014, 09:20

20m

europium (darmstadtium)

Contributed Talk Collective Dynamics Collective dynamics

Speaker

Damir Devetak (University of Belgrade (RS))

Description

The technique of two-particle correlations has been widely used in studying flow via azimuthal anisotropy in relativistic heavy-ion collisions. A key assumption imposed in this approach is the factorization of Fourier coefficients extracted from two-particle correlations into a product of single-particle anisotropies of trigger and associated particles. It was recently predicted by hydrodynamics that due to initial-state participant fluctuations, a transverse momentum ($p_T$) dependence of the event-plane angle would be induced, leading to a breakdown of factorization, even if hydrodynamic flow is the only source of correlations. We present a systematic examination of the factorization assumption in 5.02 TeV pPb and 2.76 TeV PbPb collisions with the CMS experiment. Significant breakdown of factorization (up to 20%) is observed in a large sample of ultra-central (0--0.2%) triggered PbPb events, where initial-state fluctuations play a dominant role. Comparison of data and viscous hydrodynamics predictions, as a function of $p_T$ and centrality, allows new constraints on the modeling of initial condition and shear viscosity to entropy density ($\eta /s$) ratio of the medium created in heavy-ion collisions. Furthermore, the measurement is also extended to high-multiplicity pPb collisions. As the initial-state geometry of a pPb collision is expected to be entirely a consequence of fluctuations, quantitative studies of factorization breakdown will help to investigate the nature of the observed long-range correlations in pPb collisions, particularly in the context of hydrodynamic models.

Presentation materials

Slides

QM_damir_devetak_final.pdf