Statistical properties of non-flow correlations in pp and heavy-ion collisions at RHIC energies
Satya Ranjan Nayak, Akash Das, B.K. Singh

TL;DR
This paper investigates the statistical properties of non-flow correlations in various collision systems at RHIC energies by analyzing the skewness and kurtosis of two-particle cumulant distributions, revealing differences between models and collision types.
Contribution
It provides a detailed analysis of the skewness and kurtosis of two-particle cumulants across different collision systems and models, highlighting the behavior of non-flow correlations at RHIC energies.
Findings
Non-flow correlations produce skewed distributions regardless of the model.
HYDJET++ yields Gaussian distributions at higher $ta$ windows.
Skewness and kurtosis increase with $ta$ in non-QGP models.
Abstract
In this work, we have studied the two-particle cumulant in pp, d-Au, and Au-Au collisions. The two-particle cumulant was treated as an event-by-event distribution, and its skewness and kurtosis were analyzed. The non-flow correlations, like jets and decays, constantly produced a skewed distribution, regardless of the model used. On the contrary, HYDJET++ produced a smooth Gaussian distribution at higher windows in fixed impact parameter collisions. The skewness increased consistently for higher windows in all non-QGP models like PYTHIA, PHOJET, QGSJET, and DPMJET. The kurtosis of the distribution also increased with windows in non-QGP models. The skewness and kurtosis of the distributions produced by HYDJET++ decreased with and eventually reached zero at higher .
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions · Particle physics theoretical and experimental studies
