Nonflow "factorization" and a novel method to disentangle anisotropic flow and nonflow
Daniel Kikola, Li Yi, ShinIchi Esumi, Fuqiang Wang, Wei Xie

TL;DR
This paper introduces a method to distinguish flow from nonflow effects in heavy ion collision data by leveraging the approximate factorization of nonflow observed in Pythia simulations, enabling more accurate analysis of collision phenomena.
Contribution
It proposes a novel two-component factorization fit technique to separate flow and nonflow contributions in two-particle correlation measurements.
Findings
Nonflow approximately factorizes in Pythia simulations.
The method enables disentangling flow and nonflow in heavy ion data.
Potential for improved analysis of collision dynamics.
Abstract
Presently flow and nonflow cannot be separated experimentally. Using Pythia simulations of p+p collisions we show that nonflow approximately factorizes. This fact may be used to disentangle flow and nonflow in heavy ion data by performing a two-component factorization fit to Fourier coefficients of two-particle correlations.
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