Non-Bessel-Gaussianity and Flow Harmonic Fine-Splitting
arXiv:1805.04695 · doi:10.1140/epjc/s10052-019-6549-2
Abstract
Both collision geometry and event-by-event fluctuations are encoded in the experimentally observed flow harmonic distribution and -particle cumulants . In the present study, we systematically connect these observables to each other by employing Gram-Charlier A series. We quantify the deviation of from Bessel-Gaussianity in terms of flow harmonic fine-splitting. Subsequently, we show that the corrected Bessel-Gaussian distribution can fit the simulated data better than the Bessel-Gaussian distribution in the more peripheral collisions. Inspired by Gram-Charlier A series, we introduce a new set of cumulants that are more natural to study distributions near Bessel-Gaussian. These new cumulants are obtained from where the collision geometry effect is extracted from it. By exploiting , we introduce a new set of estimators for averaged ellipticity which are more accurate compared to for . As another application of , we show we are able to restrict the phase space of , and by demanding the consistency of and with equation. The allowed phase space is a region such that and , which is compatible with the experimental observations.
arXiv comment24 pages; 9 figures; v2: published version; minor revision of the text
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