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Effectiveness of nonflow suppression using multi-particle correlators
Chong Ye, Wei-Liang Qian, Yue Cui +4
As flow estimators, multi-particle correlators, particularly the higher-order ones, are generally regarded as effective tools for suppressing non-flow contributions. In this work,…
Nonflow suppression in flow analysis with a maximum likelihood estimator
Chong Ye, Wei-Liang Qian, Cesar A. Bernardes +4
We show that the maximum likelihood estimator (MLE) is an effective tool for mitigating non-flow effects in flow analysis. To this end, one constructs two toy models that simulate…
An MLE analysis on the relationship between the initial-state granularity and final-state flow factorization
Shui-Fa Shen, Chong Ye, Dan Wen +5
In this study, we employ the maximum likelihood estimator (MLE) to investigate the relationship between initial-state fluctuations and final-state anisotropies in relativistic heav…
Analysis of flow factorization and event-plane correlations based on a maximum likelihood estimator
Chong Ye, Cesar A. Bernardes, Wei-Liang Qian +4
In this study, we use the maximum likelihood estimator (MLE) to explore factorization and event-plane correlations in relativistic heavy-ion collisions. Our analyses incorporate bo…
Fluctuations and initial state granularity in heavy ion collisions and their effects on observables from hydrodynamics
R. P. G. Andrade, A. L. V. R. dos Reis, F. Grassi +4
A comparison is made between results obtained using smooth initial conditions and event-by-event initial conditions in the hydrodynamical description of relativistic nuclear collis…