4 citations · 6 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
Suppression of the multiplicity fluctuations in particle correlations
Chong Ye, Hong-Hao Ma, Dan Wen +3
Multiplicity fluctuations play a crucial role in relativistic heavy-ion collisions. In this work, we explore how the multiplicity fluctuations can be effectively suppressed in the…
On statistical fluctuations in collective flows
Wei-Liang Qian, Kai Lin, Chong Ye +3
In relativistic heavy-ion collisions, event-by-event fluctuations are known to have non-trivial implications. Even though the probability distribution is geometrically isotropic fo…