Universal parameterization of initial-state fluctuations and its applications to event-by-event anisotropy

TL;DR

This paper introduces new parameterizations for initial state anisotropies in heavy-ion collisions, enabling better modeling of flow fluctuations and distributions, with applications to recent LHC measurements.

Contribution

It proposes Elliptic Power and Power parameterizations for initial anisotropies, extending their use to flow fluctuations under linear eccentricity scaling.

Findings

Effective modeling of flow multi-particle cumulants

Accurate description of event-by-event distributions

Application to recent LHC data

Abstract

We propose Elliptic Power and Power parameterizations for the probability distribution of initial state anisotropies in heavy-ion collisions. By assuming a linear eccentricity scaling, the new parameterizations can also be applied to fluctuations of harmonic flow. In particular, we analyze flow multi-particle cumulants and event-by-event distributions, both of which are recently measured at the LHC.