Factorization of two-particle distributions in AMPT simulations of Pb-Pb collisions at $\mathbf{\sqrt{s_{\text{NN}}}} $ = 5.02 TeV
Christian Bourjau (for the ALICE Collaboration)

TL;DR
This paper investigates the factorization of two-particle distributions in heavy ion collisions using AMPT simulations at 5.02 TeV, exploring how fluctuations and non-flow effects influence the validity of the factorization assumption.
Contribution
It introduces a largely detector-independent method to analyze factorization breaking in two-particle Fourier coefficients in heavy ion collision simulations.
Findings
Identifies the minimal pseudorapidity gap for factorization validity.
Quantifies $ ext{Δ} ext{η}$-dependent decorrelation effects in AMPT data.
Compares decorrelation effects with CMS experimental results.
Abstract
The flow ansatz states that the single-particle distribution of a given event can be described in terms of the complex flow coefficients . Multi-particle distributions can therefore be expressed as products of these single-particle coefficients; a property commonly referred to as factorization. The amplitudes and phases of the coefficients fluctuate from event to event, possibly breaking the factorization assumption for event-sample averaged multi-particle distributions. Furthermore, non-flow effects such as di-jets may also break the factorization assumption. The factorization breaking with respect to pseudorapidity provides insights into the fluctuations of the initial conditions of heavy ion collisions and can simultaneously be used to identify regions of the phase space which exhibit non-flow effects. These proceedings present a method to perform a factorization of the…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Particle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions
