New universal parametrization of initial-state fluctuations and its application to event-by-event anisotropy

May 20, 2014, 12:50 PM
europium (darmstadtium)



Schlossgraben 1 64283 Darmstadt Germany
Contributed Talk Correlations and Fluctuations Correlations and fluctuations


Li Yan


We propose a new, universal parametrization of the probability distribution of initial anisotropies in proton-proton, proton-nucleus and nucleus-nucleus collisions. The distribution of fluctuation-driven anisotropies, such as the initial triangularity $\varepsilon_3$, is described by a one-parameter power distribution. When a mean anisotropy in the reaction plane is also present, as in the case of the the initial eccentricity $\varepsilon_2$ in nucleus-nucleus collision, a new parameter must be added: the power distribution is replaced by a new, elliptic power distribution. Our results are in excellent agreement with all Monte-Carlo models of the initial state (Glauber, KLN, IP-Glasma) for all collision systems and all centralities. We then apply our results to the interpretation of the event-by-event distributions of $v_2$ and $v_3$ recently measured by the ATLAS collaboration in Pb-Pb collisions at the LHC. Assuming that anisotropic flow is proportional to the initial anisotropy, $v_n=C_n\varepsilon_n$, we obtain excellent fits to these data. This procedure gives us direct information on the initial state from data. Our results are compared to several initial-state models. We are also able to extract the hydrodynamic response $C_n$ for $n=2,3$ as a function of centrality, without assuming any particular model for the initial state. These results are compared with viscous hydrodynamic calculations of the response. L. Yan and J. Y. Ollitrault, "Universal fluctuation-driven eccentricities in proton-nucleus and nucleus-nucleus collisions,'' arXiv:1312.6555 [nucl-th], to appear in Phys. Rev. Lett. L. Yan, A. M. Poskanzer and J. Y. Ollitrault, in preparation.

Primary authors

Dr Art Poskanzer (Lawrence Berkeley National Laboratory) Dr Jean-Yves Ollitrault (CNRS) Li Yan

Presentation materials