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The performance of the Bayesian unfolding method in extracting theevent-by-event (EbyE) distributions of harmonic flow coefficients v_n isinvestigated using a toy model simulation, as well as simulations based on theHIJING and AMPT models. The unfolding method is shown to recover the inputv_2-v_4 distributions for multiplicities similar to those observed in Pb+Pbcollisions at the LHC. The effects of the nonflow are evaluated using HIJINGsimulation with and without a flow afterburner. The probability distribution ofv_n resulting only from nonflow in HIJING is nearly a Gaussian and can belargely suppressed in the data-driven unfolding method used by the ATLASCollaboration. The residual nonflow effects have no appreciable impact on thev_3 distributions, but are found to affect the tails of the v_2 and v_4distributions; these effects manifest as a small simultaneous change in themean and standard deviation of the $v_n$ distributions. For the AMPT model,which contains both flow fluctuations and nonflow effects, the reduced shape ofthe extracted v_n distributions is found to be independent of pT in the low pTregion, similar to what is observed in the ATLAS data. The prospect of usingthe EbyE distribution of the harmonic spectrum aided by the unfolding techniqueas a general tool to study azimuthal correlations in high energy collisions isalso discussed.

physical review. c. nuclear physics/physical review. c, nuclear physics

Disentangling flow and nonflow correlations via Bayesian unfolding of  the event-by-event distributions of harmonic coefficients in  ultrarelativistic heavy-ion collisions